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A Perspective on New Challenges in Social Media and Adolescence Mental Health | |||||||
Paper Id :
17544 Submission Date :
2023-04-16 Acceptance Date :
2023-04-22 Publication Date :
2023-04-25
This is an open-access research paper/article distributed under the terms of the Creative Commons Attribution 4.0 International, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. For verification of this paper, please visit on
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Abstract |
Young generations of the world are the treasure for the growth and development. Present era of youths are over empowered by internet and social media in such a way that arise debate about the technology abuse. It also seems that various awful incidences during adolescence are triggered due to these social networks and there are fine motive to pass guilty verdict. Some others feel that these conclusions are premature. In this sub-text, present study tries to compile the various studies including effect of social media on mental health of adolescents. These studies indicated the mixed result about effect of social media on anxiety and depression among adolescents. Some study clearly indicates that social media is responsible for the anxiety and depression but some others have varied opinion. Some studies highlighted about beneficial value of social media is high as compared to its negative effects. Although, all studies never indicate that risk factors should be omitted in view of its beneficial value. All work approves the use of social networking site for adolescents but other factor ought to be controlled so that the risk factors may be minimized. During the study of some researchers, several other factors arises which contribute in determination of mental health of adolescents. These factors like; emotional self-efficacy, gender, parental bonding, family back ground and social environment should be incorporated in further studies for better understanding about mental health of youths.
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Keywords | Adolescent, Mental Disorder, Depression, Anxiety, Social Media. | ||||||
Introduction |
Every century is dominated by certain traits and these traits have potential to change the world order never before. Smart phones, high speed wireless internet and social media are basic life line for present 21st century. At present, life cannot be imagined without internet and social media. The spread of social media is tremendously high and within no time it encapsulated entire world in their catchment. Similarly the youth generation of present has great affections with new technology and gazettes. They frequently and obsessively use multimedia and social media for their activities in such a manner that become integral part of their life (Ofcom, 2022). The ambience of different social media platforms is so attractive and addictive so that adolescents are seeking all their needs either positive or negative at these places. They may get peer recognition (Davis, 2012; Schwartz, 2012), presenting their good face and positive aspect only (Uhls et al., 2017), even consolidate their sense of belongings through online communication (Donoso and Ribbens, 2010; Valkenburg and Peter, 2011) mediated with help of device and get sense of satisfaction and well being. There is no doubt about beneficial effects of social media but several sources criticize the negatives roles and risks inflict by these social media (Elsayed, 2021). Some studies highlight the lack of any link between social media usage and depressive indicator (Coyne et al., 2020).
In this scenario, so many conflicting results are reported which claims different developmental outcome regarding effect of social media on adolescents. During the literature search, it is observed that there are so many intervening variables in this area which must be addressed and considered during study survey. Present study tries to encompass as much variables as possible to address the relation between social media usage and their effect on adolescent mental health. Since this analysis is explanatory in nature which is possibly dependent on many variables and ultimately reliant on literature survey thus no specific hypothesis is formulated. This article examines the broad view of adolescence along with mental health and social media before reviewing the effect of social media on adolescents in both positive and negative aspects.
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Objective of study | The aim and objective of the study may be summarised in following points;
1. To understand the present scenario of adolescents
2. To comprehend the trend of internet, smart-phone and social media use among population
3. To review the various factors of social media among adolescents
4. To study the effect of social media on mental health
5. To summarised the various aspect of mental health
6. To summarised the various study patterns and parameters for study of effect of social media on mental health among adolescents
7. To investigate the positive and negative relationships of social media among youths |
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Review of Literature | Adolescence Adolescence is
an intermediary phase of growth which marks the development between
childhood and adulthood. The World Health Organization (WHO) defines an
adolescent as any person between ages 10 and 19 (WHO, 2022). In many societies,
however, adolescence is narrowly connected with puberty and the sequence of
physical changes culminating in reproductive maturity, while in others
adolescence is understood in broader terms that incorporate psychological,
social and moral territory as well as the strictly physical facets of maturation
(Levesque, 2018). During adolescence, separation from parents happen which may
be physical or psychological or both. Although this sense of separation is a
necessary to step in the establishment of personal values, yet the transition
to self-sufficiency induced an array of adjustments upon many adolescents
(Levesque, 2018; Patra, Gogoi and Saikia, 2021). Furthermore, teenagers seldom
have clear roles of their own in society but instead occupy an ambiguous
interlude between childhood and adulthood (Calandri,
Graziano and Rolle, 2021). These issues most often define adolescence and the
reaction may partly establish the nature of the personality in adults. One most
prominent phenomenon during adolescence is the experience of an upsurge of
sexual feelings and their mental capacity to control sexual urges. The
transformation of adolescence is complex array of physiochemical and
psychological events induced by ever changing secretions of different hormones
which brings sudden and rapid changes in physical, psychological, behavioral
and sexual entities (Schulz and Kerig, 2012). Some adolescents find these
intricacies to be an intense and often stressful development characterized by
specific types of behavior, while for others the progression of maturation is
largely calm and serene. The thought that adolescents act as rebellious,
distracted, thoughtless and daring are not supposed to be unprecedented
(Elsayed, 2021). During puberty young bodies grow stronger and are infused
with hormones that stimulate desires appropriate to ensuring the
perpetuation of the species with minimal external support and depending
extensively on their progressively sophisticated and diverse array of cognitive,
behavioural, and emotional judgment (Zimmer-Gembeck and Skinner, 2011). However, some
teens faces these years as more stressful than gratifying because of the
imposing conditions and accompanying restrictions in this epoch of
existence (Seiffge-Krenke et al., 2009). Usually it is
observed that most adolescents prefer to pass time in waiting, expecting to
start “really living” only after they surpass the phase. Although these
activities are useful in preparing teens for their future roles in society but
this isolation from “real” life can be enormously frustrating. In order to
prove their existence and importance, many teenagers articulate themselves in
such ways that seem ridiculous to the rest of the population (Hartanto et
al., 2021). Habitually teenagers prefer to spend time in isolation without
parents or other adults present at home. All those teens who opted for
sedentary life style and spend little time with their parents are likely to be
bored, uninterested and self-centred. On other hand, peer influence can be counterproductive
by reinforcing a sense of underachievement or sanctioning deviant behavior
(Halpern-Felsher, 2011; Newman and Newman, 2011). With lofty power and
modest control over their lives, adolescents often realize that they have
insignificant status and therefore may be driven to seek the respect that they
feel they need (Smith and Christakis, 2008; Morris et al.,
2011; Simons-Morton, 2011; Calandri, Graziano and Rolle, 2021).
Without clear roles, adolescents may establish their own pecking order and
spend their time pursuing irresponsible or deviant activities. Mental health Mental health
is condition of human beings with regard to their psychological and emotional
well-being. WHO (2022) defined mental health as “A state of mental well-being
that enables people to cope with the stresses of life, to realise their
abilities, to learn well and work well, and to contribute to their communities”.
Indeed, the World Health Organization (WHO), in its founding document, included
mental health in its definition of health: “A state of complete physical,
mental and social well-being and not merely the absence of disease or
infirmity”. It is the foremost most and basic right for a human beings and
directly and indirectly crucial for personal, familial, community and
socio-economic stability of region. At present, mental illness is significant
contributor to global burden of disease. In persuasion and clarification
Galderisi et al. (2015) proposed another holistic definition of
mental health as “Mental health is a dynamic state of internal equilibrium
which enables individuals to use their abilities in harmony with universal
values of society. Basic cognitive and social skills; ability to recognize,
express and modulate one’s own emotions, as well as empathize with others;
flexibility and ability to cope with adverse life events and function in social
roles; and harmonious relationship between body and mind represent important
components of mental health which contribute, to varying degrees, to the state
of internal equilibrium”. Mental health
is not a condition or disorder but it is a complex some of mental disarray to
psychosocial disabilities which manifest themselves in varied manner to person
to person. Its expression is perceived differentially from one person to
another with varying degrees of difficulty, distress and potentially very
different social and clinical outcomes. Thus, mental conditions encompasses
various degree of mental disorders and psychosocial disabilities which includes
other mental states associated with significant distress, impairment in
functioning or risk of self-harm (Thirunavurakasu et al., 2011;
WHO, 2022). Exposure to unfavourable social, economic, geopolitical and
environmental circumstances which also includes poverty, violence, inequality,
perceived injustice, rejection, discrimination and environmental deprivation
also increases people’s risk of experiencing mental health conditions
(Galderisi et al., 2015) Interestingly
most people do not develop adverse mental health condition despite exposure to
a risk factor while many other people having minimum exposure factor still
develop a mental health condition. Nonetheless, the interacting determinants of
mental health serve to enhance or undermine mental health (Heinz and Kluge,
2010). Risk factors can mark these disorders at all stages of life, but all
those that induced at developmentally sensitive periods, especially early
childhood, are particularly injurious. Some unavoidable and unfortunate
conditions like harsh parenting, physical punishment, emotional blackmailing
and bullying in early phase of childhood is known to increase mental health
conditions among adolescents (Ahn, 2011; Slade et al., 2014). Adolescent
Mental Health For years, the
unique health issues associated with adolescence have been little understood
or, in some cases, ignored but that has now changed. Adolescent health and
development was made an integral part of the Global Strategy for Women’s,
Children’s and Adolescents’ Health (2016–2030) (the Global Strategy) because,
in the words of the United Nations Secretary-General, “[adolescents are]
central to everything we want to achieve, and to the overall success of the
2030 Agenda”. Globally, far too many children and adolescents live with
mental health conditions, including depression, anxiety and conduct and
attention disorders which are supposed to be remained largely unrecognized and
untreated. It was estimated that 1 in 7 (13%) of adolescents aged 10–19 live
with a diagnosed mental disorder as defined by the World Health Organization.
This represents 86 million adolescents aged 15–19 and 80 million adolescents
aged 10–14. 89 million adolescent boys aged 10–19 and 77 million adolescent
girls aged 10–19 live with a mental disorder. Suicide is the fifth most
prevalent cause of death for adolescent boys and girls aged 10–19 while for
adolescents (aged 15-19, it is placed at fourth position). An estimated
45,800 adolescents die from suicide each year or more than 1 person every 11
minutes. Annual loss in human capital arising from mental health
conditions in children aged 0–19 is US$387.2 billion (purchasing power parity
dollars) for both treatment and loss due to suicide (WHO, 2012; 2013; UNICEF,
2021). Adolescents with mental health conditions are particularly vulnerable to
social exclusion, discrimination, stigma (affecting readiness to seek help),
educational difficulties, risk-taking behaviours, physical ill-health and human
rights violations. Depression and
anxiety in adolescents is very common but unfortunately they can be rarely
seen. This is due to the fact that adolescents are disinclined to express their
feelings openly and the tendency to deny negative and self critical attitude. Secondly
adolescent period is a transitory unsettle developmental period which often
cause the adolescents to mask their underlying depressive feelings in a variety
of disguises. The mental distress in adolescents is manifested in terms of two
prominent determinants (Ahn, 2011); 1. The first is expressed as a feeling of
emptiness, a lack of self definition or a state of depersonalization. 2. A second type of adolescent depression
which is more difficult to resolve, has its basis in long standing repeated
experiences of defeat. The
transitional period can bring up issues of independence and self-identity; many adolescents
face tough choices regarding schoolwork, sexuality, drugs, alcohol and social life. Anxiety and
depressive disorders are some of the most common psychiatric conditions
afflicting adolescents. As per Child Mind Institute Children’s Mental Health
Report (2015), 80 percent of kids with a diagnosable anxiety disorder and 60
percent of kids with diagnosable depression are not getting treatment. Within
school settings, symptoms of depression are associated with lower achievement
on tests, lower teacher-rated grades and poorer peer relationships (Roeser,
Eccles and Strobel, 1998). For adolescents, depression is associated with poor
health and behavioral outcomes, including higher risks of disruptive behaviors,
anxiety, substance abuse, unsafe sexual practices and greater likelihood of
being involved in fights (Saluja et al., 2004). Adolescents are
easily addicted towards computer games, which affect the physical, social and
mental health. The addiction severely affects and increases physical complains,
social dysfunction, anxiety and depression among sampled youth (Zamani, Chashmi
and Hedayati, 2009). At present social media and other internet related usage
may also increase the incidence of these mental disorders to certain extent (O'Keeffe et
al., 2011; Xantus, Saltz and Shaw, 2015). Adolescents are
easy prey for the depression and anxiety due to their physiological,
psychological and social enigma as 52% increase in depression among adolescents
are observed during period of 2005-2017 (Twenge et al., 2019).
Prevalent use of social media in the world and its unavoidable exposure to
adolescents added a new facet to the mental health. Cross-sectional and
co-relational studies indicate that prevalence of depression is observed with
increase of usage of social networking sites (Brunborg and Andreas, 2019;
Ivie et al., 2020; Keles, McCrae, and Grealish, 2020). Social Media: Social media is
a phrase being tossed around a lot these days but it may be difficult for
people to define social media. Media is the main ways through which the large
numbers of people communicate and share information. Social media is the
networking and connecting linkage between more people in the virtual
communities and networks through the means of dialogue, chat, comment, photo,
video and audio that can be achieved in clouds without any border to break and
any person to take responsibility as well as no party to own it. Briefly,
Social media is all about online social networking which manifests
through fascinating phenomenon of Information and Communication
Technology (ICT) among mass (Spier, 2017). Social media facilitate the
collaborative integration of three major modes of sociality namely; cognition,
communication, cooperation (Fuchs and Trottier, 2014). The different forms
of Social Media technologies includes social networking, chatting, media and
video sharing platforms, internet forums, weblogs, social blogs, micro blogs,
wikis etc. Technologies include blogging, picture sharing, video sharing, short
videos, comments and tweets, wall-posting, emails, music sharing, instant
messaging etc. Popular services and platforms include Facebook, Instagram,
Twitter, WhatsApp, TickTok, Snapchat, Tumblr, Pinterest, Google, YouTube,
MySpace, Reddit, Quora, Linkedin. Instagram, Snapchat, and TikTok
are the most widespread and most frequently used platforms (Frey and
Friemel, 2023). As per claim of
some of the exclusive website, it was claimed that the end of 2020, 78.05%
of the world’s population are smart-phone users among which many persons owes
more than one smart-phone. The actual number of smart-phone subscriptions
exceeds the number of smart-phone users and supposed to be 6.23 billion subscriptions
as of 2021 (Laricchia, 2023). Statistical report of Statista informed that
global number of social media users are 4.76bn having penetration rate of
59.4%. In survey by Statista about purpose of social networking site, almost
half of the users claimed it for staying associated with family and friends
while others have different reasons for using like filling spare time, looking
for inspiration, and reading news stories. Interestingly, several social media
user stated that they access social networking site for news and demographic
information which accounted for about 60 minutes per day for adults, while
adolescents spent on average 49.12 minutes on social media apps daily (Dixon,
2022). Technological
advancement brings several newly developed and improved interfaces in web
browsing so that the social media which utilise Web 2.0 interface. These
websites are designed in such a way that rely on involvement of mass of user
groups without any centralised control, continually-updated service which
ensures betterment with user enhancement, comprehensive and remix content
from several sources, re-modified and remixed contents of own data, network
user and content togetherness more intensely along with rich user experiences
(O’Reilly, 2007). This situation is more frightening ever before for parents,
caregivers, educators, doctors and policy makers in terms of approach, safety,
effect and outcome on psychological, mental well-being and social behaviour of
adolescents. Social Media
and Adolescents Surveys exhibited that 90% of teenagers (aged between 13 and 17) have used social media. 75% among them have at least one active social media account while 51% use them at least once daily. The fact that two third teens have their own mobile with internet connections is also highlighted and the average online walking is about 9 hours a day (Facts for Families, 2018). Social media sites such as Facebook and MySpace offer multiple daily opportunities for connecting with friends, classmates, and people with shared interests. During the last 5-10 years, the number of preadolescents and adolescents using such sites has increased dramatically. According to a recent poll concluded by Ofcom (2022), almost all children went online in 2021 (99%) using their own mobile phone (72%). Majority of adolescents (62%) confided that they have alternate profile to show their parents. Children aged 13-17 were more likely to feel positive (53%) than negative about their online use. More than a third (36%) of children aged 8-17 admitted about exposure towards ‘worrying or nasty content’ online in the past 12 months about which they always informed someone (59%). Children were more likely to experience being bullied (84%) via technology in comparison to face-to-face. Each year, we grow increasingly connected as networks evolve and new forms of sharing emerge. Engaging in various forms of social media is a routine activity that research has shown to benefit children and adolescents by enhancing communication, social connection, and even technical skills (Ito et al., 2008). Thus, a large part of this generation's social and emotional development is occurring while on the Internet and on cell phones. The extensive use of Facebook by its users makes it an interesting to study it further, according to the study conducted by Vancouver based social media and promotion agency, Popcorn, half a million comments are posted every minute, around 300,000 updates posted and 140,000 photos are uploaded every minute. Twitter has around 120,000 tweets rolling out per minute (Arora, 2014). |
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Main Text |
Effects of
social media: Social media
has both positive and negative impacts on youths. It depends on the usage of
the social network. Hacking, pornography, sexting, cyberbullying, anxiety and
depression along with suicidal tendencies are few bad things that are possible
through these social networks but in contrary social media can play a vital
role in the capacity building of youths. The technologies like blogging,
uploading, sharing can help in building reputation and bringing in career
opportunities and monetary income and updating health care system. Since, in
social media youths get the facility to present their ideas in front of the
virtual communities it helps to increases their confidence level. Thus,
self-disclosure and self-presentation are the main facility that the social
media can provide. Social media provides the platform for any youth to
advertise themselves and to show their hidden talent in front of the world.
Through social networks, youths can participate in various trainings,
conferences, seminars, campaigns within and outside the country and thus can
broaden their horizon in any topic through their active enrollment. Apart from
all these, the major positive contribution of social media towards adolescent
is managing the teen ego, peer recognition and feeling of being understood
which is lacking ever before in real word due to various social and personnel
enigma. As per normal observation social media imparts both boon and bane for
society. Since the effect of social media is supradyadic in nature as several
above mentioned factors are contributing their role in mental health, the
effects cannot be generalized or treated as dyadic. The main risk to preadolescents and adolescents
online today are risks from each other, risks of improper use of technology,
lack of privacy, sharing too much information, or posting false information
about themselves or others (Barnes, 2006). These types of behaviour put their
privacy at risk. One of the biggest threats to young people on social media
sites is to their digital footprint and future reputations. Indiscriminate
Internet activity also can make children and teenagers easier for marketers and
fraudsters to target. These may also speed up the mental health issues among
adolescents. Ray and Malhi (2006) from India reported that children having
exposure to violence through media had poorer school performance and its impact
on their psychosocial adjustments is detrimental. The usage pattern and perception towards social
media have specific demographic differences among user and non-user in which
gender play significant predictor but race and parental education had no
significant correlation (Hargittai, 2007). Sexting phenomenon does occur among the teen
population; a recent survey revealed that several teens have sent or posted
nude or seminude photographs or videos of themselves. In a study, 15% of all youth having 80% female
subjects reported being targeted by unwanted sexual solicitation, while 32.5%
of adolescents reported being harassed, either by threats or aggressive
comments. Among targeted adolescents, solicitations were more commonly
reported via instant messaging (43%) and in chat rooms (32%), whereas
harassment was more commonly reported in instant messaging (55%) than through social
networking sites (27% and 28%) respectively (Ybarra and Mitchell, 2008). Additional
consequences include school suspension for perpetrators and emotional distress
with accompanying mental health conditions for victims. In many circumstances,
however, the sexting incident is not shared beyond a small peer group or a
couple and is not found to be distressing at all (Lenhart, 2009) but its
consequences lead to further mental illness directly or indirectly. Researchers have proposed a new phenomenon called
“Facebook depression,” defined as depression that develops when preteens and
teens spend a great deal of time on social media sites, such as Facebook, and
then begin to exhibit classic symptoms of depression (Davila et al.,
2009; Selfhout et al., 2009). Acceptance by and contact with peers
is an important element of adolescent life. The intensity of the online world
is thought to be a factor that may trigger depression in some adolescents. As
with offline depression, preadolescents and adolescents who suffer from
Facebook depression are at risk for social isolation and sometimes turn to
risky Internet sites and blogs for “help” that may promote substance abuse,
unsafe sexual practices, or aggressive or self-destructive behaviours. Adolescents are finding that they can access online
information about their health concerns easily and anonymously. Excellent
health resources are increasingly available to youth on a variety of topics of
interest to this population, such as sexually transmitted infections, stress
reduction, and signs of depression. Adolescents with chronic illnesses can
access web sites through which they can develop supportive networks of people
with similar conditions (Lenhart, 2010). Cyberbullying is deliberately using
digital media to communicate false, embarrassing or hostile information about
another person. It is the most common online risk for all teens and is a
peer-to-peer risk. Cyberbullying is quite common phenomenon, can occur to any
young person online and can cause profound psychosocial outcomes including
depression, anxiety, severe isolation and tragically to suicide (Hinduja &
Patchin, 2010). Ray and Jat (2010) concluded that media has a disturbing
potential to negatively affect many aspects of children’s healthy development,
including weight status, sexual initiation, aggressive feelings and beliefs,
consumerism and social isolation on the basis of reviewing several reviews
worldwide. They also emphasise potential for positive effects on child health.
A specific gender bias study by Khalil (2010) pointed out that girls have
fatigue as most common form of symptoms. Somatic symptoms are major among
mental health issues among girls. The symptoms include unexplained fatigue,
decreased energy, psychomotor changes and lack of concentration, weight change
and suicidal tendency. Carroll and Kirkpatrick (2011) reviewed the effect
of social media and the impact it causes on the adolescent behaviour. In their
opinion the social networking sites are beneficial for the youth of present but
some major risk are also highlighted by them. The major issues of social media
are disturbed mental health, cyberbullying, sexting, relationship abuse, sexual
solicitation, predation, loss of privacy and digital divide. Kuss and Griffiths
(2011) highlighted the issue of online social networking addiction. On the
basis of evidence, it is found the social networking addiction may be
responsible for the psychological problem and it may be potential danger for
the adolescents’ mental health. During study, social networking usage pattern
indicate that differential behaviour of extrovert and introvert personalities.
Extroverts appear to be social enhances but introverts may indulge in
narcissism. Negative correlation consist decrease in real life community
communication, low academic performance and relationship struggle and impending
compulsion towards drug abuse. Das & Sahoo (2011) highlighted and raised
several psycho-social issues of social networking sites. They opined that today
1.5 billion people across the world have their profiles in social networking
sites. Everything looks nice when you create a profile on social networking
site, but how you feel when someone starts blackmailing using your personal
data. Your boss threatens to fire you for posting comments on social sites. You
feel compulsive to check your profile during work hours. Social networking
sites become a reason for anxiety and addiction. It starts affecting personal
relationship with spouse and family members. Such sites make private life and
public life of an individual a digital document. Conclusively it has proposed
that growth of social networking sites shows a significant change in the social
and personal behaviour of Internet users. Social networking sites have become
an essential medium of communication and entertainment among the young adults.
Though it has started to affect the daily activities of normal human beings,
the popularity of social sites is not going to reduce in near future.
Everything in this world can be used for a bad purpose as well as for good.
However, nefarious act of mental health issues and cyber criminals has to be
brought to the forefront while choosing wisely for the benefit of developing
social bonds across the geographical borders. In non-linear study about various literatures, Ahn
(2011) opined about consolidation of various traits to understand the holistic
developmental view of adolescents rather than any specific character like
mental health, social capital, privacy, safety, psychological well-being or
educational achievement. He further suggested the researcher to address the
problem in integrated manner. As per his opinion, the research clearly shown
that technical feature and infrastructure of particular community imparts user
behaviour along with interacting and ever-existing social, psychological and
emotional characteristics of participating adolescents. The social outcome of
any platform can be judged on the basis of these human factors which are
interacting with influences of individual net worth and their communication
behaviours along with the cultural background. In interesting article about interactions and
involvement of paediatricians as third stake holder, O'Keeffe et al. (2011)
discuss about the impact of social media on children in light of concerned
families and paediatricians. Major issues in adolescents of present era have
aroused due to bemused and excommunicative tendencies of parent. They neither
satisfy the need of their technology savvy teen nor comprehend the fact that
online life is actually extension of offline living. Majority of beneficial
activities are highlighted namely; socialization and communication, charity,
artistic and musical endeavours, creating knowledge resources along with gaming
and accessing resources for health concerns. The role of social media in
enhanced learning through diversity is also enlisted. Besides the beneficial
activity, serious concerns of social media are raised as it creates profound
psychological turmoil which leads toward social isolation and sometimes
suicide. The areas of concerns are cyberbullying, online harassment, sexting,
Facebook depression, loss of privacy, digital foot printing and influencers
mediated apprehensions. In this scenario, COPPA regulations and paediatricians
role are utmost important as they may become a mediators for both the stake
holders in terms of managing the social networking sites induced mental
disorders. They can guide parent, explains the jargons and become spokesperson
of adolescents creating a humble bridge among them. Social
networking site are also involved in bringing the change in society and raised
the protest behavior of youths. It helps in addressing the political grievances
and provides the psychological resources during protest activity (Valenzuela,
Arriagada and Scherman, 2012). Social media facilitate youths also in terms of
monetary income as they provide facilities of online jobs. Several web base
application in collaboration with social networking sites are being used very
popularly for the part time job opportunity presently. Non-suicidal
self-injury (NSSI) activity and content along with their online communication
have flourished on the Internet now-a-days. Research designate that many youth
with self-injury behaviour go online to connect with others who shares their
own through text and videos platforms. Although there is remuneration to this
behaviour in terms of acceptance of peer support, these actions can initiate
these young people to risks, such as NSSI corroboration through the sharing, as
well as, risks for triggering of NSSI urges (Lewis et al., 2012). Social networks are an increasingly important part
of daily life for both adolescents and adults who maintain a virtual relationship
with others sharing interests and goals. Very often, they disclose more about
themselves online than they do in person. However, cyberbullying and
cyberostracism can be problematic for adolescents and sensitive individuals,
who might be negatively affected by social networks. Some studies have shown an
increased risk of depression, whereas others suggest beneficial effects through
enhanced communication, social connection, and self-esteem. Although social
networks in general could be a new source of psychological stress and trigger
exacerbations in depressed asthmatic individuals (D’Amato et al.,
2012). Pantic et al. (2012) found direct
link between depression and online social networking usage. During study it was
found that high time spent on online social sites accelerate the depressive
symptoms and reduce the sleep time of the adolescents. In some studies
regarding psychiatric disorders in Western UP, it was found that gender, age
and economic condition do not play any significant role in onset and
development mental disorders. Urban and rural background does not affect the
prevalence outcome (Sarda et al., 2013). McPherson et al. (2014) concluded
that family and community social capital is key factor for the mental and
behavioural problems among adolescents. The constructed results exhibit that
mental health is associated with social media but positive parent – child
relation, extended family support, social support system, neighbourhood,
religiosity and school environment are utmost important to counter the social
media induced mental disorders. In another study regarding impact of social
media, Shabir et al. (2014) found that majority of respondents
confirm the influence of social media on the quality of life being positively
used in the field of education. The negative impacts include deterioration of
social norms, damage of study, floods of unwanted and unethical messages,
pictures, video clips, anti religion post creating hatred, influencing the
political awareness and disturbing relations of countries. Labrague (2014) find the indirect relation between
Facebook usage and mental disorder. During the study positive correlation was
found with Facebook intensity scale and depression, anxiety and stress.
Although the Facebook itself cannot induce negative emotions but prolonged use
of Facebook increases the depression and anxiety indicators and disturbed
emotional state of the subjects. Ryan et al. (2014)
highlighted the popular use of Facebook as relationship continuance, time
surpass, amusement and friendship. It may also be used for escape from negative
phase and for mood elevation. These activities might be habit forming and
induced adolescents as habitual or excessive user which may be compulsive and
addictive. Examination of Facebook addiction studies provides the evidence in
support of Facebook addiction. It appeared that gender, frequency of use,
duration of use and content of use play prominent role in Facebook addiction.
Females prefer to maintain their existing friend base but males always expand
to new users. Frequency of use might be associated with surveillance
gratification, entertainment gratification and content gratification.
Facebook addiction involves other factors like low psychological well-being,
loneliness, non-socially motivated use, fear of missing out to impart their
share. Survey highlighted about inability of social skill model to measure
Facebook addiction due to multifaceted approach in Facebook addiction. In this
scenario, inconsistencies in addiction measurement make it difficult to propose
compelling arguments. Thus, strengthening of assessment and measurement must be
achieved before facilitating any theory or conclusion. Study of cyberbullying
on mental health of youth with special reference to wide range of internalizing
symptoms was performed in conjunction with a measure of self concept. Results
indicated significant increase in Depressive inventory for the respondent (47%)
who encountered media bullying as compared to respondent without bullying.
Values of mean total depression scores and mean total anxiety scores of victims
are high and statistically significant as compared to respondents without
bullying, while mean total of self-concept scale T-score value are lower as
compared to non-victims. These findings indicate that presence of cyberbullying
had an association between depression, anxiety, and self-esteem/self-concept
among respondents (Xantus, Saltz and Shaw, 2015). Effects of social networks on mental health of
adolescents are vague and plausible because the studies are conducted in
diverse pattern and the data collection traits and methods are varied to
certain extent. The study is in preliminary phase, literature is in childhood
and rigor deficient in design due to un-harmonised planning pattern and poorly
designed questionnaire. Even though some preliminary and putative association
between social networking site activity and mental health measures are
demonstrated. The planning, questionnaire and data collection method should be
harmonised and validated before drawing any consolidated and concrete
conclusion, except all the data collected till date is important as it has a
potential to provide large amount of limited but collective responses (Toseeb
and Inkster, 2015). A self-reported cross-sectional systematic review
about interaction between social networking sites and mental health, mixed
finding between social media use and anxiety as well as depression are
reported. The finding suggests that social networking sites are correlated with
mental health and well-being on the sub-text of values including social,
emotional and cognitive in nature. The consequences of correlates and relation
depend on influence of positivity or negativity within the social networking
sites as well as outside of the virtual world. Highly anxious and depressed
users have contradictory engagement and interaction styles. Unenthusiastic
interactions, pessimistic expression, frequent social comparison, social
network addiction, problematic site use, rumination and brooding are bench marks
for the anxiety and depression. Some evidences suggest that there is
inconsistency between insight of interaction quality, social support and actual
communication of social interface which may attenuate the possible positive
influence on social sites. Sudden changes in number of users are unrealistic
approach to judge the anxiety and depression instead of identity profile
expression and language of user post are treated as high value indicators of
mental illness. Contrary, positive social aspects like positive interaction,
social support, social connectedness and positive peer experiences are
protective factors for social network users. Overall, social network usage may
not affect psychopathology but depend on subjective well-being of the user.
Usually adolescents with mental illness have associated with impoverished
social network and changes in mental condition leads towards change in
individual profiles. Conclusively, it is suggested to monitor the content and
quality of interaction is good indicator for the detection of mental issues in
early phase (Seabrook, Kern and Rickard, 2016). The growth of social media is in early phase having
total span of approximately quarter of century and limited studies are
concluded and work on impact of social media is limited but some trends are
beginning to emerge. One prominent change in perception as of early social
media posts indicating refuge from real life to present which has been changed
towards more competent and reinforced relationship. At present social media
poses beneficial and harmful activities which have to be addressed separately.
Social networking sites promote adolescents towards identity development having
better self-esteem and proper self-disclosure, enriched social capital
including social support and social recognition, aspirational development
consisting promoted resource utilisation and enhanced peer engagement along
with peer support as well as peer approval. On the other hand, social
networking sites are blamed to induce cyberbullying, sexual content, substance
abuse, violence and exposure to inappropriate contents. Other objectionable
activities induced by social networking sites are self-esteem, objectified self
concept and gender stereotypes. Mobile phone and social networking sites impart
in reduced sleep cycle which may ultimately leads towards sleep induces issues
and mental illness including depression and anxiety (Uhls, Ellison, and Subrahmanyam, 2017). Social media is frequently used for communication
and very much popular in college and university students. Social anxiety is
prevalent in society to varied intensity and became a reason for depression
which negatively effects physical and psychological complexity. These all
causes are interlinked and supposed to be induced by social media for which
study was conducted by Riaz, Ishaq and Abbasi (2018). It is found that there is
no correlation between social media use and social anxiety. The study does not
overrule the existence of social anxiety but indicate that there are other
variables in minor level hidden in social dispersion which may imparts the
spark for the onset of anxiety and depression. In study of middle school
students about social media, it was found that use of social media started at
very tender age and 40% students accept unknown invitation while other 40%
confirmed that their social media use do not monitored by parents. Students
encountered certain concerns like inappropriate posting and pictures, hacking,
feeling hurt, lack of privacy, bullying and stalking. New world order brings ever increasing social media
in main stream and social networking sites impart critical places in life of
young generations with various challenges and opportunities. As the use of
social networking sites are increasing, adolescents are at risk of
cyber-victimisation, online dispute, vulnerability towards crime, social
isolation and detriments, misinformation and waste of time, stress related
issues, privacy issues, self-harm, depression and suicidal tendencies. Even
though, today youth is well aware having evidence-based approach towards social
media and enthusiastically perform effective use of social sites through
systemic intervention and validated characterization to reduce networking
damage (Singh and
Guruprasad, 2019). The correlation between use of social media and
the academic performance of teens (grade 7th students) is
found. There is significant variation of test score of mathematics with respect
to social network use time. Students having spent less than an hour have better
performance as compared to students having social networking sites more than 7
hours. During study it is also noted that the student usually prefer to
socialising followed by gaming in social network sites before involving in
academic activities, thus it is advisable to supervise students closely at the
time of social media use (Igcasama et al., 2019). In longitudinal, cross-sectional,
randomised-intercept, specification curve analysis, indicated that social media
does not convey enduring effect on life satisfaction of adolescents. With help
of some meta-data, it also exhibit that the study of social media and
adolescents’ mental health may not provide the actual result and are more
nuanced as previously assumed. Mostly effects are tiny, trivial and statistically
insignificant when applied under best statistical practices, otherwise chances
of false positive relations may not be ruled out. Gender specific results are
also obtained as girls are more susceptible to social media usage with respect
to inversely life satisfaction aspect (Orben, Dienlin and Przybylski, 2019). Social media
has often been correlated to a range of debatable and spurious negative
outcomes. A study was planned to deal within-individual change in social media
usage with respect to within-individual alteration in depression, conduct
problems, and episodic heavy drinking in a sample of adolescents. Findings
concluded that positive and modest relationship are observed in increases in
time spent on social media which are associated with amplification in
depressive symptoms, rise in conduct problems and boost in episodic heavy
drinking (Brunborg and Andreas, 2019). Sushma,
Satheeshkumar and Kumar (2019) reported 48% strongly motivated and well-being
respondents in qualitative questionnaire based study. 38% users involve in
social media for sharing posts, while 26% respondents use for communication and
connect with friends and family. 28% of the respondents benefitted by
entertainment and fun and 20% utilize it for learning. On the other hand, respondents
claimed about cyber theft (40%) followed by health issues and waste of time
(20% each) as major negative aspect of social media. A quantitative, cross-sectional, non-specific,
gender unbiased study regarding social media use and mental health revealed
that 75% reports have inclusions of social media and some pathological aspects.
During the survey, the holistic approach is missing with specific focussing on
certain issues; majority of them are negative aspects with depression as
dominant traits. Other mental disorders considered in studies are general
mental health or psychiatric issues, eating disorder, anxiety, drug and alcohol
abuse, sleep disorders, self-harm and suicidal tendencies as major issues.
Loneliness, fear of missing out, low self-esteem are the minor non-pathological
issues covered in study. The study does not focus on any specific social
networking site but Facebook being the dominant site followed by Instagram and
Twitter. Usually the studies are tending towards negative traits and start
their hypothesis with guilty verdict and media trial even though specific
relation could not be observed. The mental issues of adolescents associated
with social media use start with introduction of social media itself and
possible reason behind this may be due to phenomenon of moral panic which
usually resurges with introduction of new technologies. It seems that the
direction of the association and supposition that social media use affects
mental health. The support in the theory gained from the fact that mental
health problems (rise in anxiety and depression) of adolescents are increasing
in last two decades so the use of social networking sites. Mental health
problems among youth may be induced due to so many variables but social media
victimised even though concrete correlation has yet to come. In this scenario,
studies including individual differences, potential intermediates, complex
arrays, more specific aspects of social media and longitudinally designed test
must be considered for better and judicious results (Schonning et al.,
2020). During study about effect of social media on
well-being of adolescents, 44% adolescents did not feel any change in
well-being set up but 46% felt better while 10% reported worse condition. The
study implies the person specific effects of social media which can be
correlated with active and passive societal media use along with between-person
and within-person correlations. At between-person level, active and passive
social media usage are not associated with well-being, while within-person
level, weak but significant positive correlations are found between social
media use and well-being (Beyens et al., 2020). Keles, McCrae
and Grealish (2020) reported effect of social media measuring depression,
anxiety or psychological distress along with some confounding variables (e.g.
age and gender) and mediating and moderating factors (e.g. insomnia, rumination
and self-esteem). Results of the studies are not utterly consistent but general
correlation between social media use and mental health problems are found being
depression as the most commonly measure. Time spent including repeated checking
for messages, personal investment and addictive or problematic use have been
found to be important aspect for depression, anxiety and psychological distress
emerged but particular attitudes or behaviours (e.g. social comparison, active
or passive use of social media, motives for social media use) may have a
greater influence on the symptoms of psychological distress than the frequency
of social media use or the number of online friends. However, most authors
noted that the observed relationship is too complex for straightforward
statements. Insomnia and other sleep-related factors, rumination and perceived
social support are most frequently reported as mediators of the relationship
between social media use and depressed mood. It is further recommended that
investigations of these factors along with personal traits, socio-cultural
factors and roles and expectations from adolescents in family and society and
environmental factors should be inducted in further studiers. Although some
studies found that influence of age and sex have no effect on the relationship
between social media use and mental health problems, other studies show that
girls and younger adolescents are more prone to depression and anxiety. Meta-analytical
studies were conducted about specific association between social media use and
depressive symptoms amongst adolescents which revealed that high degree of
heterogeneity along with little but significant affirmative correlation were
present. It was also suggested that focused should be specific on understanding
which types of use may be harmful (or helpful) to mental health, rather than
focusing on overall use measures that likely reflect highly heterogeneous
exposures (Ivie et al., 2020). Deepa and Priya (2020) conducted
descriptive study among top 2 deemed universities in Chennai with a sample of
90 respondents including information on demography, pattern of social
networking usage, social relationship and health effects. The results found
that significant associations and positive correlations between social media
usage and feeling anxiousness on social networking sites than in real life. Social networking sites are highly vibrant platform
for communication which affecting teenagers physically and mentally in both
constructive and destructive manners. Positive aspects for adolescents are
education, relationships, future prospect and ecommerce activities, while
adolescents are cruelly victimised through cyberbullying, sexting, hacking,
frauds and scams which leads the youths towards serious psychological consequences
like despair, isolation, anxiety and suicide (Goma and Shankar, 2021). In
descriptive phrase, questionnaire based, convenient sampling study performed
among college students reported that 50% non-dependent, 8.3% moderate and 41.7%
dependent respondents found. No effect of social media found on respondents but
dependent user on border line as per addiction point of view (Kurian et
al., 2021). In interesting study about disagreement between parents and
adolescent over social media revealed that major disagreement is in the area of
academic performance and socialization perspective. The parents highlighted the
ignorance of study, delay in important activities, unknowingly wasting time
over social networking sites in chatting and sharing photos and videos, and
loss of interaction in real surroundings which were seems to be justified. On
other hand, adolescents claim that they use social media platforms for exchange
of notes, learning and showing creative activities (Patra, Gogoi and Saikia,
2021). Psychological effects of social media on
adolescents have major focus of present time. Many literatures found
association between use of social networking sites and depression and anxiety
but majority of results are inconclusive. These studies only focus on time spent
on social site irrespective of other factors like gender, emotional self
efficacy, psychological well-being and life satisfaction which also contributed
as intervening variables. The results exhibited that higher social media use
promoted higher depressive symptoms along with lower well-being and life
satisfaction among girls with lower emotional self- efficacy, while high social
media use elevated higher affective well being and life satisfaction for girls
with higher emotional self-efficacy (Calandri, Graziano and Rolle, 2021). In path breaking opinion, Hartanto et al. (2021)
proposed that anxiety bouts and depressive symptoms force heavy social media
use in order to alleviate negative thoughts, fulfill unmet psychological
desires, stay engaged, escape from idleness, sense of belongingness and social
acceptance. Authors opined about this thought to validate with other well
planed and focussed longitudinal studies which manifests in reverse order to
understand the relation of mental disorders and use of social media among
adolescents. It is also indispensable to understand the factors that push
individuals toward damaging social media performance, in which social media use
is more an indication than a cause. Boer et
al. (2022) multilevel analyses showed that life satisfaction is
unchanged within-person level changes in different types of social media use,
while within individuals, the associations ranged from negative to positive
across adolescents, which could not be explained by adolescents’ engagement in
upward social comparisons. At the between-person level, the higher social media
usage resulted in the lower level of average life satisfaction subjected to
condition that associations were confounded by adolescents’ SMU problems.
Overall, no curvilinear associations were found along with the heterogeneity of
effects which can be better understood and distinguished among social media
walking intensity and quality of content, social media driven problems, and
disentangle within-from between-person effects. The descriptive
analysis performed by Jolly (2022) indicated a mean score of 56.75 for
K-GSADS-A, indicating above average levels of social anxiety and a mean score
of 18.73 for SONTUS, indicating high social media usage in general but
correlation coefficient analysis illustrated that there is no significant
association between social media usage and levels of social anxiety among
adolescents. Contrary to the above study, another randomised quantitative analysis was
made which claimed considerable strong alliance between adolescents' social
media exposure and their social well being. The major issues aroused during
study were fear of missing out (FOMO) and social anxiety. Furthermore,
addictions to media are common among adolescent followed by social isolation and
impact on family ties. A few of the respondents informed about cyberbullying,
however its impact are considerably low (Kaur et al., 2022). Similarly, Olola, Asukwo and Odufuwa (2022)
performed study using descriptive survey research design with simple random
sampling technique among students in Minnesota, United States of America. The
study confirmed the significant effect of the social media on the psychological
wellbeing of adolescents. The psychological effects of social media use among
students include depression, stress, anxiety, emotional isolation, low
self-esteem, memory loss, and self-harm. Seo and Kim
(2022) performed interesting study during the pandemic SARS-CoV-2 (COVID era).
As adolescence represents a pivotal transitional period characterized by an
increase in social relationships, the impact of the COVID-19 pandemic and its
transferral of in-person interactions to online spheres is a crucial component
of adolescent mental health in 2022. During the lockdown period excessive
social media usage guided towards increase in cyberbullying and eating
disorders, comparative social media perception and more passive, autonomous
enjoyment. The effects of social media on adolescent health are obsessive,
unwanted, comparative behaviour on social networking sites, body perception and
body imaging could lead to negative impacts on adolescent mental health,
utilizing social sites to engage in meaningful content or social relationships
might proceed towards the construction of positive, ‘safe online spaces’ during
the instability of the COVID-19 pandemic. As this study examines the overlap
between online and offline spheres through the lens of body image and
perception, where social media often mediates the space between isolation and
in-person interactions, the nuances of adolescent mental health are becoming
more and more visible through their imprints online. During
cross-sectional study about new and differentiated determinants of social media
use and well-being in terms of internalizing symptoms of gender specific
adolescent boys and girls, social media use and playing games were positively
associated with internalizing symptoms. The effect of social media practices
are conditional on gender, indicating that social media used for chatting and
self-presentation are only associated with internalizing symptoms for girls. In
this scenario, young girls might be especially vulnerable to display
internalizing symptoms. Study also highlighted the importance of research going
beyond evaluation of time spent on social media to examine how different kinds
of social media activities are associated with well-being (Svensson, Johnson
and Olsson, 2022) Achmad et
al. (2023) emphasised the importance of socialization and healthy and
wise use of social media for adolescents. The results of the study illustrate
that social media impose a positive and noteworthy persuasion on the lifestyle
of adolescents in the city of Bandung by 43%. The practical limitation on
learning activities could be observed as students' heavy dependence on social
media in content accessing for more time as compared to study or to support the
lifestyle. Another concern was raised about disturbance in sleep pattern and
deficient sleep might reduce the productivity and performance. Bonsaksen et
al. (2023) highlighted the importance of general self-efficacy for
study and evaluation of mental health conditions among adolescents. The
findings engrossed that total time spent on social media as well as negative
social media-related experiences are related to depressive symptoms in
Norwegian adolescents. Multivariate linear regression analyses demonstrate that
time spent on social media are linked with depressive symptoms in general but
are more strongly associated with depressive symptoms in case of negative social
media associated experiences (β ranging 0.09–0.22, all p <
0.001), and their inclusion weaken the initial association between time on
social media and depressive symptoms. General self-efficacy is openly related
with lower symptom levels but does not transform the associations between
social media use and depressive symptoms. Correlational
study on addiction showed that the gender specific findings as 58% females
among 11% of the total participants are significantly addicted to social media.
Considerable correlations surfaced between the self-report measure of social
media addiction, self-esteem and anxiety. Low values of self-esteems assumed to
higher social media surfing, high usage of social networks and playing
video-games were treated as supplementary indicators of addiction. There are
high inconsistencies between the perceptions of anxiety using social media (85%
did not sense any change while 15% perceived a reduction in anxiety). On the
other hand, approximately 70% respondents are neutral to perception of
loneliness but 22% of the total sample reported feeling less alone. Highly
addicted adolescents exhibited low self-esteem along with high state anxiety
and trait anxiety (Ciacchini et al., 2023). Yang (2023) proposed
that being overly concerned about social media, driven by an uncontrollable
motivation to log on to or use social media, and devoting so much time and
effort to social media that it impairs other important life areas might be
treated as social media addiction. On the basis of various literatures, it was
proposed that social media instantly provide the dopamine induced
gratifications in weaker self-control ability user who have more difficulty in
changing thought away from beloved stimulations is the root cause of addiction.
These traits might be inculcated through negative family environment where
happiness is missing, negative friendships, lack of peer relationships which
positively restrained negative emotions, early case of depression or anxiety
which induces easy addicted to social media and stress in life which compel
user to involve in social media to stay away from stress full thought. The
effect of social media addiction included poor academic performance, loss of
sense of belongingness towards family and school and affects mental health
through attention deficit hyperactivity disorder, anxiety and depression. Using a
well-being framework to investigate use of social media among adolescents
should be performed in various aspects apart from focusing on the ill-being
perspective. Results of the hierarchical regression investigation showed that
positive social media experiences and reciprocal inspirations are positively
associated with flourishing along with self-esteem, perceived school
environment, self-reported level of physical activity and alleged
socio-economic status. In contrast, gender, schooling institution, age,
apparent stress and personality illustrated no significant associations with
the outcome. On the contrary, sensation of ignoring, people with slight regard
for emotions, feeling excluded and ill-being (DSM-V) were negatively related to
flourishing (Marciano and Viswanath, 2023). It is recommended to operate social
media in such a way that promotes flourishing which helps in influencing
adolescents’ development and should be included in child development curricula
aiming to encourage a good use of social media through positive online social
relationships and inspirational contents. Popat and
Tarrant (2023) reviewed the complex outcome of social media on adolescent
wellbeing, from the perspectives of teenagers themselves. On the one hand,
social media fosters connection and support, social capital, providing support
and validation, learning from others about dealing with difficult situations,
encouraging open conversations around difficult topics, reducing isolation and
aiding recovery of mental health difficulties. On the other hand, social
media use can enforce negatively on wellbeing and mental health, damaging
self-esteem through experience of judgement, attention to markers of
popularity, and appearance comparison, concerning privacy or appropriateness,
and ‘stress’ posting could have negative longer term consequences. Teenagers
highlighted unease about social media impacting harmfully on real life
relationships, causing anxiety, sleep disruption, cyberbullying, online
exclusion, and the impact of viewing distressing content. Authors claimed about
the relationships in terms of composite and intervened arrays of social
engagement and peer support, self-expression and validation, appearance
comparison and body ideals, pressure to stay connected including social
exclusion fear with disconnection anxiety, exposure to bullying and harmful
content Privacy concerns. These parameters may act positively or negatively on
the basis of the relation among user and their digital surroundings and on-line
friends.
Descriptive
survey with randomised sampling study reported that 100% of school-going
adolescents use various forms of social media in their daily lives with usage
time varying from 1 hour to 3 hours daily. The use of social media had a
positive impact on psychological well-being of adolescents irrespective of
usage time and demographics indicators such as gender, academic grade, age.
However, the results indicate that 93.5% adolescents use social media for
academic purposes followed by enjoyment, communication, information exchange,
and friendship-building purposes (Roy, Das and Barman, 2023). |
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Methodology | A systematic search is made on Google, Google Scholar, Pubmed, J-Gate, Research Gate with help of key words like Social media, Adolescents, Anxiety, Depression, Mental health from the period 2006 to 2023. In general all those papers and review articles are selected which involved the effect of social media on adolescents in light of mental health. |
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Conclusion |
The present systematic review offers the valuable insight in role of social media and social networking platforms on mental health of adolescents. This aspect is emerging area of research as both fractionates are new for the society and playing hand within hand irrespective of fact whether both are dependable or not. As apparent in review, the ever increase in mental disorders of present day adolescents are treated as outcome of social media without any conclusive evidence in un-adjusting opinion and fear of contemporary technology and created a media trial and passes guilty verdict. Several other works reported the positive effects of social networking site overpower the negative phenomenon just like social media as right tool in wrong hand.
In present scenario, several studies are operated but the constancy and structural results are not conclusive and wide enough for the final decisive opinion. There are several studies which pointed out the mental health of adolescents is depended on various intriguing factors. All the studies which are concluded or going on did not include all these parameters. Thus, it is suggested to work in integrated approach in different cluster with newly defined set of parameters like gender, emotional self-efficacy, content of social media post along with duration and frequency on social networks, self regulations, sleep pattern, family background and support system, social and environmental surroundings and relation with friends and teachers. The role of different anxiety and depression mediated indices like self-imaging, loneliness, escapism, stress, fear of missing out (FOMO) should also be inducted in experimental design for the conclusive remarks.
A considerable challenge is the view of adolescents as a homogeneous population. The heterogeneity between experimental studies, particularly in terms of study design, is present enabling a wide variety of data to be collected and analysed, thus minimising the level of internal bias within the data sets. The possibility of false positive with the variable and limited parameter and data set cannot be ruled out. However, it is acknowledged that the variability between studies could result in uneven influence on the conclusions made. There are differences in methodology between papers, with some using solely one method and others using mixed methods. There is also variability in the samples used between studies, in terms of numbers of participants, ratio between genders, and other factors such as level or nature of schooling. In addition, adolescents had varied understandings of ‘mental health’, with some attaching negative connotations to the term, meaning that positive impacts of social media may be under-reported. The effect is dependent on the complex interplay between individual protective and vulnerability factors and specific environmental exposures, resulting in differing impact between individuals. During the survey of literature, considerable caveat arise due to methodological limitations of qualitative and cross-sectional design, sampling and measures. Mechanisms of the putative effects of social media on mental health should be explored further through quantitative experimental enquiry setup and longitudinal cohort studies. |
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Suggestions for the future Study | At present, the heavy usage and dependence of adolescents over social media provide a distinctive area of research which may be utilized to understand virtual and physical world connectivity in terms of cognitive, emotional, psychological and social effects. As per observation, the population of adolescents cannot be treated as homogeneous due to their nature, background, social, economical and emotional level along with their mental setup, emotional efficiency and gender. Thus it is recommended to pursue the further study which holistically addresses the above mentioned criteria for better understanding of the effects and possibility to rule out the false positive. | ||||||
Limitation of the Study | The study deals with systematic survey of effects of social media among adolescents. The study includes both research article as well as the review papers. Some studies are mainly questionnaire based self declared quantitative in which data input varied as per Performa used and interpretation made, while others studies are qualitative in nature. The study pattern, inclusions of parameters, complex array of factors, and lack of consistency, the conclusions have certain limitations. However, in this regard detailed study and meta-analytical approach may provide more accuracy. | ||||||
Acknowledgement | Authors highly appreciate the supportive nature of Principal and Head of the Department of SNGG PG College, Bhopal. The help of college library is duly acknowledged. | ||||||
References | 1. Achmad, W., Sudrajat, A., Faiza, S., and Ollianti, N. (2023). The influence of social media on teenagers' lifestyles: behavioral analysis among adolescents in Bandung. Journal on Education, 5(3): 10356-10363.
2. Ahn, J. (2011). The effect of social network sites on adolescents’ social and academic development: current theories and controversies. Journal of the American Society for Information Science and Technology, 62(8): 1435-1445. DOI:10.1002/asi.21540.
3. Anonymus (2015). Child Mind Institute Children’s Mental Health Report. http://support.childmind.org/site/DocServer/ChildrensMentalHealthReport_FINAL.pdf?docID=3502. (Accessed on 10.11.2015).
4. Arora, S. (2014). Social networking – A study of Indian youth. Management Convergence, 5(1&2): 40-45.
5. Barnes, S.B. (2006). A privacy paradox: social networking in the United States. First Monday, 11(9): 1394. DOI:10.5210/fm.v11i9.1394. https://firstmonday.org/ojs/index. php/fm/article/view/1394. (Accessed on 10.04.2023).
6. Beyens, I., Pouwels, J.L., van Driel, I.I., Keijsers, L., and Valkenburg, P.M. (2020). The effect of social media on well-being differs from adolescent to adolescent. Scientific Reports, 10: 10763. DOI:10.1038/s41598-020-67727-7.
7. Boer, M., Stevens, G.W.J.M., Finkenauer, C., and van den Eijnden, R.J.J.M. (2022). The complex association between social media use intensity and adolescent wellbeing: A longitudinal investigation of five factors that may affect the association. Computers in Human Behavior, 128: 107084. DOI:10.1016/j.chb.2021.107084.
8. Bonsaksen, T., Steigen, A.M., Stea, T.H., Kleppang, A.L., Lien, L., and Leonhardt, M. (2023). Negative social media-related experiences and lower general self-efficacy are associated with depressive symptoms in adolescents. Frontiers in Public Health, 10: 1037375. DOI:10.3389/fpubh.2022.1037375.
9. Brunborg, G.S., and Andreas, J.B. (2019). Increase in time spent on social media is associated with modest increase in depression, conduct problems, and episodic heavy drinking. Journal of Adolescence, 74: 201-209. DOI:10.1016/j.adolescence.2019.06.013.
10. Brunborg, G.S., and Andreas, J.B. (2019). Increase in time spent on social media is associated with modest increase in depression, conduct problems, and episodic heavy drinking. Journal of Adolescence, 74(1): 201-209. DOI:10.1016/j.adolescence.2019.06.013.
11. Calandri, E., Graziano, F., and Rolle, L. (2021). Social media, depressive symptoms and well-being in early adolescence. The moderating role of emotional self-efficacy and gender. Frontiers in Psychology, 12: 660740. DOI:10.3380/fpsyg.2021.660740.
12. Carroll, J.A., and Kirkpatrick, R.L. (2011). Impact of social media on adolescent behavioural health. Oakland, CA: California Adolescent Health Collaborative. http://www.phi.org/wp-content/uploads/migration/uploads/ application/files/g9g6xbfghdxoe3yytmc1rfvvm8lt1ly9sr3j369pstkojdly15.pdf. (Accessed on 10.04.2023).
13. Ciacchini, R., Orrù, G., Cucurnia, E., Sabbatini, S., Scafuto, F., Lazzarelli, A., Miccoli, M., Gemignani, A., Conversano, C. (2023). Social media in adolescents: A retrospective correlational study on addiction. Children, 10: 278. DOI:10.3390/children10020278.
14. Coyne, S.M., Rogers, A.A., Zurcher, J.D., Stockdale, L., and Booth, M. (2020). Does time spent using social media impact mental health?: An eight year longitudinal study. Computers in Human Behavior, 104: 106160. DOI:10.1016/j.chb.2019.106160.
15. D’Amato, G., Cecchi, L., Liccardi, G., Pellegrino, F., D’Amato, M., and Sofia, M. (2012). Social Networks: A new source of psychological stress or a way to enhance self-esteem? Negative and positive implications in bronchial asthma. Journal of Investigational Allergology and Clinical Immunology, 22(6): 402-405.
16. Das, B., and Sahoo, J.S. (2011). Social networking sites – A critical analysis of its impact on personal and social life. International Journal of Business and Social Science, 2(14): 222-228.
17. Davila, J., Stroud, C.B., Starr, L.R., Miller, M.R., Yoneda, A., and Hershenberg, R. (2009). Romantic and sexual activities, parent-adolescent stress, and depressive symptoms among early adolescent girls. Journal of Adolescence, 32(4): 909-924. DOI:10.1016/j.adolescence.2008.10.004.
18. Davis, K. (2012). Friendship 2.0: adolescents’ experiences of belonging and self-disclosure online. Journal of Adolescence, 35(6): 1527-1536. DOI:10.16/j.adolescence.2012.02.013.
19. Deepa, M., and Priya, V.K. (2020). Impact of social media on mental health of students. International Journal of Scientific and Technology Research, 9(3): 3796-3800.
20. Dixon (2022). Social media - Statistics & Facts, https://www.statista.com/topics/1164/social-networks/#topicOverview. (Accessed on 04.02.2023).
21. Donoso, V., and Ribbens, W. (2010). Identity under construction: Chilean adolescents’ self disclosure through the use of photolog. Journal of Children and Media, 4: 435-450. DOI:10.1080/17482798.2010.510011.
22. Elsayed, W. (2021). The negative effect of social media on the social identity of adolescents from the perspective of social work. Heliyon, 7: e06327. DOI:10.1016/j.heliyon.2021. e06327.
23. Fact for Families (2018). Social Media and Teens: No.100. https://www.aacap.org/AACAP/ Families_and_Youth/Facts_for_Families/FFF-Guide/Social-Media-and-Teens-100.aspx (Accessed on 12/14/2022).
23. Frey, T., and Friemel, T.N. (2023). Social media repertoires: Investigating multifaceted social media use among late adolescents. Journal of Quantitative Description: Digital Media, 3: 1–33. DOI:10.51685/jqd.2023.002.
24. Fuchs, C., and Trottier, D. (2014). Theorizing social media, politics, and the state. An introduction. In: Trottier, D., and Fuchs, C. (Eds.), Social Media, Politics and the State: Protests, Revolutions, Riots, Crime and Policing in the Age of Facebook, Twitter and YouTube. Routledge, New York, pp. 3–38. ISBN: 978-1-31-576483-2.
25. Galderisi, S., Heinz, A., Kastrup, M., Beezhold, J., and Sartorius, N. (2015). Toward a new definition of mental health. World Psychiatry, 14(2): 231-233. DOI:10.1002/wps.20231.
26. Goma, T., and Shankar, B. (2021). A study on impact of social media on teenagers. Vidyabharati International Interdisciplinary Research Journal, 13(1): 190-194.
27. Halpern-Felsher, B.L. (2011). Adolescent Decision-Making. In: Brown, B.B. and Prinstein, M.J. (Eds.), Encyclopedia of Adolescence. Academic Press, London, UK, pp. 30-37. ISBN: 978-0-12-373915-5.
28. Hargittai, E. (2007). Whose space? Differences among users and non-users of social network sites. Journal of Computer-Mediated Communication, 13(1): 276-297. DOI:10.1111/j.1083-6101.2007.00396.x.
29. Hartanto, A., Quek, F.Y.X., Tng, G.Y.Q., and Yong, J.C. (2021). Does social media use increase depressive symptoms? A reverse causation perspective. Frontiers in Psychology, 12: 641934. DOI:10.3389/fpsyt.2021.641934.
30. Heinz, A., and Kluge, U. (2010). Anthropological and evolutionary concepts of mental disorders. Journal of Speculative Philosophy, 24: 292-307. DOI:10.5325/jspecphil.24.3.0292.
31. Hinduja, S., and Patchin, J.W. (2007). Offline consequences of online victimization: School violence and delinquency. Journal of School Violence, 6(3): 89–112. DOI:10.1300/J202v06n03_06.
32. Hinduja, S., and Patchin, J.W. (2010). Bullying, cyberbullying, and suicide.
33. Archives of Suicide Research, 14(3): 206 –221. DOI:10.1080/13811118.2010.494133.
34. Igcasama, R.M., Borinaga, I.A., Mutia, E.C., Suarez, C.L., and Balogo, J.C. (2019). Explaining the academic performance of grade 7 students as influenced by social media. Journal of Physics: Conference Series, 1254: 012039. DOI:10.1088/1742-6596/1254/1/012039.
35. Ito, M., Horst, H., Bittanti, M., Boyd, D., Herr-Stephenson, B., Lange, P.G., Pascoe, C.J., Robinson, L, Baumer, S., Cody, R., Mahendran, D., Martínez, K., Perkel, D., Sims, C., and Tripp, L. (2008). Living and learning with new media: Summary of findings from the digital youth project. John D. and Catherine T. MacArthur Foundation Reports on Digital Media and Learning. https://files.eric.ed.gov/fulltext/ED536072.pdf. (Accessed on 10.04.2023).
36. Ivie, E.J., Pettitt, A., Moses, L.J., and Allen, N.B. (2020). A meta-analysis of the association between adolescent social media use and depressive symptoms. Journal of Affective Disorders, 275(1): 165-174. DOI:10.1016/j.jad.2020.06.014.
37. Ivie, E.J., Pettitt, A., Moses, L.J., and Allen, N.B. (2020). A meta-analysis of the association between adolescent social media use and depressive symptoms. Journal of Affective Disorders, 275: 165-174. DOI:10.1016/j.jad.2020.06.014.
38. Jolly, C. (2022). Social media use and social anxiety among adolescents. The International Journal of Indian Psychology, 10(1): 532-539. DOI:10.25215/1001.052.
39. Kaur, S., Kaur, K., Aprajita, Verma, R. and Pangkaj (2022). Impact of social media on mental health of adolescents. Journal of Pharmaceutical Negative Results, 13(Spl. 5): 779-783. DOI:10.47750/pnr.2022.13.S05.121.
40. Keles, B., McCrae, N., and Grealish, A. (2020). A systematic review: The influence of social media on depression, anxiety and psychological distress in adolescents. International Journal of Adolescence and Youth, 25(1): 79-93. DOI:10.1080/02673843.2019.1590851.
41. Keles, B., McCrae, N., and Grealish, A. (2020). A systematic review: The influence of social media on depression, anxiety and psychological distress in adolescents. International Journal of Adolescence and Youth, 25(1): 79-93. DOI:10.1080/02673843.2019.1590851.
42. Khalil, A.H., Rabie, M.A., Abd-El-Aziz, M.F., Abdou, T.A., El-Rasheed, A.H., and Sabry, W.M. (2010). Clinical characteristics of depression among adolescent females: A cross-sectional study. Child and Adolescent Psychiatry and Mental Health, 4: 26. DOI:10.1186/1753-2000-4-26.
Kurian, A.M., Joseph, A., Chacko, A., Thomas, J., Ravikumar, K.T., Parvathy, V.S., Jose, A., Greeshma, M., and Joseena, S.V.M. (2021). A study to assess the social media addiction among college students in a selected college, Kottayam. Asian Journal of Nursing Education and Research, 11(2): 302-304. DOI:10.5958/2349-2996.2021.00073.2.
43. Kuss, D.J., and Griffiths, M.D. (2011). Online social networking and addiction – A review of the psychological literature. International Journal of Environmental Research and Public Health, 8: 3528-3552. DOI:10.3390/ijerph8093528.
44. Labrague, L.J. (2014). Facebook use and adolescents’ emotional states of depression, anxiety and stress. Health Science Journal, 8(1): 80-89.
45. Laricchia, F. (2023). Smartphones - Statistics & Facts, https://www.statista.com/topics/840/ smartphones/#topicOverview. (Accessed on 04.02.2023).
47. Lenhart, A. (2009). Teens and Sexting. Pew Research Center, Washington, DC. https://www.pewresearch.org/internet/2009/12/15/teens-and-sexting/. (Accessed on 10.04.2023).
48. Lenhart, A., Purcell, K., Smith, A., and Zickuhr, K. (2010). Social media and mobile internet use among teens and young adults. Pew Research Center, Washington, DC. https://www.pewresearch. org/internet/2010/02/03/social-media-and-young-adults/. (Accessed on 10.04.2023).
49. Levesque, R.J.R. (Ed.) (2018). Encyclopedia of Adolescence. 2nd Ed. Springer-Verlag, New York. ISBN: 978-3-319-33228-4.
50. Lewis, S.P., Heath, N.L., Michal, N.J., and Duggan, J.M. (2012). Non-suicidal self-injury, youth, and the Internet: What mental health professionals need to know. Child and Adolescent Psychiatry and Mental Health, 6: 13. DOI:10.1186/1753-2000-6-13.
51. Marciano, L., and Viswanath, K. (2023). Social media use and adolescents’ well-being: A note on flourishing. Frontiers in Psychology, 14: 1092109. DOI:10.3389/fpsyg. 2023.1092109.
52. Martin, F., Wang, C., Petty, T., Wang, W., and Wilkins, P. (2018). Middle school students’ social media use. Educational Technology and Society, 21(1): 213-224. DOI:10.30191/ETS.201801_21(1).0019.
53. McPherson, K.E., Kerr, S., McGee, E., Morgan, A., Cheater, F.M., McLean, J., and Egan, J. (2014). The Association between social capital and mental health and behavioural problems in children and adolescents: An integrative systematic review. BMC Psychology, 2: 7. DOI:10.1186/2050-7283-2-7.
54. Morris, A.S., Eisenberg, N., and Houltberg, B.J. (2011). Adolescent moral development. In: Brown, B.B., and Prinstein, M.J. (Eds.), Encyclopedia of Adolescence (pp. 48-55). Academic Press, London, UK. ISBN: 978-0-12-373915-5.
55. Newman, B.M., and Newman, P.R. (2011). Theories of adolescence. In: Brown, B.B., and Prinstein, M.J. (Eds.), Encyclopedia of Adolescence (pp. 20-29). Academic Press, London, UK. ISBN: 978-0-12-373915-5.
56. Ofcom (2022). Children and parents: Media use and attitude report. https://www.ofcom.org. uk/data/assets/pdf_file/0024/234609/childrens-media-use-and-attitudes-report-2022.pdf (Accessed on 16.03.2023).
57. O'Keeffe, G.S., Clarke-Pearson, K., and Council on Communications and Media (2011). The impact of social media on children, adolescents, and families. Pediatrics, 127: 800-804. DOI:10.1542/peds.2011-0054.
58. Olola, T.M., Asukwo, A.U., and Odufuwa, F. (2022). Investigation of the psychological effects of social media use among students in Minnesota, United State America. International Journal of International Relations, Media and Mass Communication Studies, 8(3): 37-47. DOI:10.37745/ijirmmcs.15/vol8n33747.
59. Orben, A., Dienlin, T., and Przybylski, A.K. (2019). Social media’s enduring effect on adolescent life satisfaction. Proceedings of the National Academy of Sciences of the United States of America, 116(21): 10226-10228. DOI:10.1073/pnas.1902058116.
60. O'Reilly, T. (2007): What is Web 2.0: Design patterns and business models for the next generation of software. International Journal of Digital Economics, 65: 17-37. https://mpra.ub.uni-muenchen.de/id/eprint/4580. (Accessed on 13.04.2023).
61. Pantic, I., Damjanovic, A., Todorovic, J., Topalovic, D., Bojovic-Jovic, D., Ristic, S., and Pantic, S. (2012). Association between online school networking and depression in high school students: Behavioural physiology viewpoint. Psychiatria Danubina, 24(1): 90-93.
62. Patra, K., Gogoi S., and Saikia, J. (2021). Disagreement between parents and adolescents for use of social media – A critical analysis. International Journal of Bio-resource and Stress Management, 12(1): 68-73. DOI:10.23910/1.2021.2178.
63. Popat, A., and Tarrant, C. (2023). Exploring adolescents’ perspectives on social media and mental health and well-being - A qualitative literature review. Clinical Child Psychology and Psychiatry, 28(1): 323–337. DOI:10.1177/13591045221092884.
64. Rahman, A., Patel, V., Maselko, J., and Kirkwood, B. (2008). The neglected ‘m’ in MCH programmes– why mental health of mothers is important for child nutrition. Tropical Medicine and International Health, 13(4): 579-583. DOI:10.1111/j.1365-3156.2008.02036.x.
65. Ray, M., and Jat, K.R. (2010). Effect of electronic media on children. Indian Pediatrics, 47: 561-568.
66. Ray, M., and Malhi, P. (2006). Adolescent violence exposure, gender issues and impact. Indian Pediatrics, 43: 607-612.
67. Riaz, F., Ishaq, K., and Abbasi, A. (2018). Influence of social media in developing social anxiety: A study of university students in Lahore. International Journal of Scientific and Research Publication, 8(2): 230-235.
68. Roeser, R., Eccles, J., and Strobel, K. (1998). Linking the study of schooling and mental health: selected issues and empirical illustrations at the level of the individual. Educational Psychologist, 33(4): 153–176.
69. Roy, L., Das, P., and Barman, P. (2023). Pattern of using social media and its impact on psychological wellbeing of school going adolescents: An empirical study. Anvesak, 53(1): 74-88.
70. Ryan, T., Chester, A., Reece, J., and Xenos, S. (2014). The use and abuse of Facebook: A review of Facebook addiction. Journal of Behavioral Addiction, 3(3): 133-148. DOI:10.1556/JBA.3.2014.016.
71. Saluja, G., Iachan, R., Scheidt, P.C., Overpeck, M.D., Sun, W., and Giedd, J.N. (2004). Prevalence of and risk factors for depressive symptoms among young adolescents. Archives of Pediatrics and Adolescent Medicine, 158(8): 760–765. DOI:10.1001/archpedi.158.8.760.
72. Sarda, R., Kimmatkar, N., Hemnani, J.T., Hemnani, T.J., Mishra, P., and Jain, S.K. (2013). Prevalence of psychiatric disorders in western U.P. region – A school based study. International Journal of Scientific Study, 1(3): 70-76.
73. Schønning, V., Hjetland, G.J., Aarø, L.E., and Kogen, J.C. (2020). Social media use and mental health and well-being among adolescents - A scoping review. Frontiers in Psychology, 11: 1949. DOI:10.3389/fpsyg.2020.01949.
74. Schulz, M.S., and Kerig, P.K. (2012). Looking beyond adolescence: Translating basic research into clinical practice. In: Kerig, P.K., Schulz, M.S., and Hauser, S.T. (Eds.), Adolescence and beyond: Family processes and development (pp 304–313). Oxford University Press, New York. ISBN: 978-0-19-993244-3.
75. Schwartz, S. (2012). Does Facebook influence well-being and self-esteem among early adolescents. Sophia: the St. Catherine University. https://sophia.stkate.edu/msw_papers/91/. (Accessed on 10.04.2023).
76. Seabrook, E.M., Kern, M.L., and Rickard, N.S. (2016). Social networking sites, depression, and anxiety: A systematic review. JMIR Mental Health, 3(4): e50. DOI:10.2196/mental.5842.
77. Seiffge-Krenke, I., Aunola, K., and Nurmi, J. (2009). Changes in stress perception and coping during adolescence: The role of situational and personal factors. Child Development, 80(1): 259–279. DOI: 10.1111/j.1467-8624.2008.01258.x.
78. Selfhout, M.H.W., Branje, S.J.T., Delsing, M., ter Bogt, T.F.M., and Meeus, W.H.J. (2009). Different types of internet use, depression, and social anxiety: The role of perceived friendship quality. Journal of Adolescence, 32(4): 819–833. DOI:10.1016/j.adolescence.2008.10.011.
79. Seo, J., and Kim, L. (2022). A cross-comparative study of adolescent mental health and social media use in South Korea and Canada. Journal of Student Research, 11(3): 3637. doi:10.47611/jsrhs.v11i3.3637.
80. Shabir, G., Hameed, Y.M.Y., Safdar, G., and Gilani, S.M.F.S. (2014). The impact of social media on youth: A case study of Bahawalpur City. Asian Journal of Social Sciences and Humanities, 3(4): 132-151.
81. Simons-Morton, B. (2011). Adolescent Driving Behavior: A Developmental Challenge. In: Brown, B.B., and Prinstein, M.J. (Eds.), Encyclopedia of Adolescence (pp. 38-47). Academic Press, London, UK. ISBN: 978-0-12-373915-5.
82. Singh, N.D., and Guruprasad, N. (2019). Impact of Social Media on Youth. Proceedings of the Second International Conference on Emerging Trends in Science & Technologies for Engineering Systems (ICETSE-2019). https://ssrn.com/abstract=3506607 or http://dx.doi.org/10.2139/ssrn.3506607. (Accessed on 07.04.2023).
83. Slade, M., Amering, M., Farkas, M., Hamilton, B., O’Hagan, M., Panther, G., Perkins, R., Shepherd, G., Tse, S., and Whitley, R. (2014). Uses and abuses of recovery: implementing recovery-oriented practices in mental health systems. World Psychiatry, 13(1): 12-20. DOI:10.1002/wps.20084.
84. Smith, K.P., and Christakis, N.A. (2008). Social networks and health. Annual Reviews of Sociology 34: 405-429. DOI:10.1146/annurev.soc.34.040507.134601.
85. Spier, S. (2017). Collective Action 2.0: The Impact of Social Media on Collective Action. Chandos Publishing, Cambridge, United States. ISBN: 978-0-08-100579-8.
86. Sushma, R.S., Satheeshkumar, R., and Kumar, V. (2019). A Study on impact of social media on youth. Journal of Management, 6(1): 89-96. DOI:10.34218/JOM.6.1.2019.010.
87. Svensson, R., Johnson, B., and Olsson, A. (2022). Does gender matter? The association between different digital media activities and adolescent well-being. BMC Public Health, 22: 273. doi.org/10.1186/s12889-022-12670-7.
88. Thirunavurakasu, M., Thirunavukarasu, P., and Bhugra, D. (2011). Concept of mental health: Definitions and challenges. International Journal of Social Psychiatry, 59(3): 197-198. DOI:10.1177/0020764011422006.
89. Toseeb, U., and Inkster, B. (2015). Online social networking sites and mental health research. Frontiers in Psychiatry, 6: 36. DOI:10.3389/fpsyt.2015.00036.
90. Twenge, J.M., Cooper, A.B., Joiner, T.E., Duffy, M.E., and Binau, S.G. (2019). Age, period, and cohort trends in mood disorder indicators and suicide-related outcomes in a nationally representative dataset, 2005–2017. Journal of Abnormal Psychology, 128: 185-199. DOI:10.1037/abn0000410.
91. Uhls, Y.T., Ellison, N.B., and Subrahmanyam, K. (2017). Benefits and costs of social media in adolescence. Pediatrics, 140(suppl. 2): S67-70. DOI:10.1542/peds.2016-1758E.
92. UNICEF (2021). The State of the World’s Children 2021: On My Mind – Promoting, protecting and caring for children’s mental health, UNICEF, New York. ISBN: 978-92-806-5285-7.
93. Valenzuela, S., Arriagada, A., and Scherman, A. (2012). The social media basis of youth protest behaviour: The case of Chile. Journal of Communication, 62(2): 299-314. DOI:10.1111/j.1460-2466.2012.01635.x.
94. Valkenburg, P.M., and Peter, J. (2011). Online communication among adolescents: An integrated model of its attraction, opportunities, and risks. Journal of Adolescent Health, 48(2): 121-127. DOI:10.1016/j.jadohealth.2010.08.020.
95. World Health Organization (2012). Sixty-fifth world health assembly 2012: Resolutions and Decisions Annexes. WHA65/2012/REC/1. World Health Organization Geneva, Switzerland. https://apps.who.int/gb/DGNP/pdf_ files/A65_REC1-en.pdf. (Accessed on 13.04.2023).
96. World Health Organization (2013). Mental health action plan 2013-2020, Geneva, Switzerland. ISBN: 978-92-4-150602-1.
97. World Health Organization (2022). World Mental Health Report: Transforming mental health for all. Geneva, Switzerland. ISBN: 978-92-4-004933-8.
98. Xantus, A., Saltz, S.B., and Shaw, J.A. (2015). The relationship between social media bullying and the adolescent's self report of emotional health: A study of urban youth on an acute inpatient psychiatric unit. Journal of Depression and Anxiety, 4(2): 000186. DOI:10.4172/2167-1044.1000186.
99. Yang, Z. (2023). Why adolescents are addicted to social media. Journal of Education, Humanities and Social Sciences, 8: 1430-1436. DOI:10.54097/ehss.v8i.4498.
100. Ybarra, M.L., and Mitchell, K.J. (2008). How risky are social networking sites? A comparison of places online where youth sexual solicitation and harassment occurs. Pediatrics, 121: e350-e357. DOI:10.1542/peds.2007-0693.
101. Zamani, E., Chashmi, M., and Hedayati, N. (2009). Effect of addiction to computer games on physical and mental health of female and male students of Guidance school in city of Isfahan. Addiction and Health, 1: 98-104.
102. Zimmer-Gembeck, M.J., and Skinner, E.A. (2011). The development of coping across childhood and adolescence: An integrative review and critique of research. International Journal of Behavioral Development, 35(1): 1–17. DOI:10.1177/0165025410384923. |