Presently, they support and enable social interaction and connection

Presently,
in India, 28.4 per cent of the population (375 million) is using internet, out
of which 10.3 per cent are active on social media (136 million). Five years
ago, 2.5 per cent of the population was active on Facebook. This number is
expected to increase to 15 per cent by the end of 2016, with Facebook
proactively targeting emerging economies with Facebook site for slow internet
speed in these regions. As per the Yral report, increased mobile web
penetration is also seen as a key contributor to increased growth in active
social media usage. Statistic presents the social network penetration in India.
As of the fourth quarter of 2016, the most popular social network were YouTube
and Facebook with 33 percent penetration rate each. WhatsApp was ranked third
with 28 percent reach. India ranks second among countries with the most Facebook users, accounting for 11 percent of global Facebook audiences in April 2017. January 2017 data puts the active social networking penetration in India at only 14 percent of the population – one of
the lowest rates worldwide.

Social networking sites (SNSs) are Web-based platforms on which
individuals connect with other users to generate and maintain social
connections. Considerable disagreement exists as to associations that SNS use
may have with depression and anxiety. On the one hand, SNSs may protect from
mental illness, as they support and enable social interaction and connection
and allow users to reflect aspects of their identity and express emotion that
may be relevant to their livedexperience. On the other hand, there are many
opportunities for miscommunications and mismanaged expectations, and
maladaptive tendencies can be exaggerated, leaving individuals feeling a
greater sense of isolation. As a whole, the SNS environment may be just as
complex as face-to-face interactions. As SNS membership continues to rise, it
is becoming increasingly important to address the possible benefits and
detriments the use of SNSs may have on mental health.

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Affective
disorders such as depression and anxiety have been shown to have bidirectional
interactions with the social environment that influence the path of illness
onset and maintenance. Depression and anxiety have an approximate prevalence of
4.7% and 7.3%, respectively, in the global population .These disorders have
high levels of comorbidity and impact the quality of social relationships. Depression
and anxiety may be implicated in determining the size and structure of an
individual’s social network, the quality of interactions within these networks,
and how effectively social capital may be leveraged or developed to provide an
individual with social support.

 

REVIEW OF LITERATURE:

AncaDobrean(2016)In his study concluded cyberbullying victimization served as
a full mediator in the relationship between the use of online social networking
sites and psychological distress/suicide attempts and acted as a partial
mediator in the relationship between the use of online social networking sites
and suicidal ideation,Helou et al.,
(2014) in his study revealed most of the students felt that the Social
Networking Sites have more positive impact on their academic performance
especially among the undergraduate students. 

Salvation
and Azharuddin (2014).In
their study concluded that more students prefer the use of facebook and twitter
in academic related discussions in complementing conventional classroom teaching
and learning process.Shahzad et al.,
(2014). The analysis revealed that there is no direct relationship between
the social media usage and the academic grades unless the usage does not become
excessive. Average use of social media by students exceeding 13 hours a week
and 2 hours a day has negative effect on their academic grades. Tayseer
et al., (2014) in their studyrevealed that students use social networks for
social purposes more than the academics. Students consider social media as
entertainment networks and it reduces stress and makes them forget about
academics.

 

 

SIGNIFICANCE OF THE STUDY:

During
the past decade, online social networking has caused profound changes in the
way people communicate and interact. It is unclear, however, whether some of
these changes may affect certain normal aspects of human behavior and cause
psychiatric disorders. Several studies have indicated that the prolonged use of
social networking sites (SNS), such as Facebook, may be related to signs and
symptoms of depression. In addition, some authors have indicated that certain
SNS activities might be associated with low self-esteem, especially in children
and adolescents. Other studies have presented opposite results in terms of
positive impact of social networking on self-esteem. The relationship between
SNS use and mental problems to this day remains controversial, and research on
this issue is faced with numerous challenges. This concise review focuses on
the recent findings regarding the suggested connection between SNS and mental
health issues such as depressive symptoms, changes in self-esteem, and Internet
addiction(Igor Pantic,2014).So the researcher was interested to study mental
health of users of social media.

OBJECTIVES:

To study the socio-demographic profile of
the respondents.
To find out the  impact of social media on the respondents
To study on mental health status of the
respondents
To suggest measures to improve the  mental health status of respondents.

Based
on the above objectives following few research hypotheses have been formulated.

RESEARCH HYPOTHESES :

Ø  There is a significant relationship between the
age and mental health status of respondents

Ø  There is a significant difference between
nature of education and mental health status of the respondents.

Ø  There is a significant relationship between
the  nature of education and mental
health status of respondents.

Ø  There is a significant relationship between
the native place and mental health status of respondents.         

Ø  There is a significant relationship between
the father’s income and mental health status of respondents.

Ø  There is a significant difference between
respondents  type of family and mental
health status of respondents.

Ø  There is a significant difference between
respondents size of family and mental health status of respondents.

Ø  There is a significant difference between the
respondents spend time in social media sites 
and mental health status of respondents.

Ø  There is a significant difference between
respondents members of social media and mental health status of respondents.

MATERIALS AND METHODS:

The
descriptive research design is scientific method which involves observing and
describing the behavior of the subject without influencing them in any way. The
researcher collected information about the respondents which includes age,
educational status, domicile, type of family, size of family, use of social
media, time spent in social media and level of mental health. Descriptive
Research design was adopted in thepresent study. The researcher studied all the
respondents in the universe by adopting census method.The Sample size was 77 in number.The research
study was conducted among college students atVarshini hostel, near Malaikottai,
Trichy.The researcher used interview schedule to collect the personal data from
the respondents and used Mental Health Inventory a standardized tool developed
by V.D. Augustine(1978) to assess mental health of the respondents.

 

ANALYSIS AND
INTERPRETATION

TABLENO :1

 

                        DISTRIBUTION OF THE RESPONDENTS BY THEIR AGE

 

AGE(IN YEARS)

NO.OF RESPONDENTS
N=77

PERCENTAGE

16-20

56

72.7

21-25

20

25.9

26 AND
ABOVE

1

1.2

The above table shows that the more than half
(72.7 per cent) of the respondents belonged to the age group of  16-20 years while over one fourth (25.9 per
cent) of the respondents belonged to the age of  21-25 years and very few (1.2 per cent) of the
respondents belonged to the age group 26 years and above.

                                                                        TABLE
 NO:2

 

DISTRIBUTION  OF THE  RESPONDENTS BY THEIR EDUCATIONAL STATUS

 

DEGREE

NO.OF
RESPONDENTS
N=77

PERCENTAGE

UG

60

77.9

PG and Mphil

17

22.1

 

 The above table shows that majority of (77.9
per cent) of respondents were in Under Graduation while less than one fourth (22.1
per cent ) of respondents were in Post Graduationand were pursuing their M.Phil
degree.

TABLE NO:3

DISTRIBUTION
OF THE RESPONDENTS BY THEIR DOMICILE

DOMICILE

NO.OF
RESPONDENTS
N=77

PERCENTAGE

RURAL

40

51.9

URBAN

37

48.1

 

The
above table  shows that more than half (51.9
per cent)of the respondents were from rural area while nearly half (48.1 per
cent) of the respondents belonged to urban area.

TABLE NO:4

 

DISTRIBUTION OF THE
RESPONDENTS BY THEIRTYPE OF FAMILY

 

TYPE
OF FAMILY

NO.OF
RESPONDENTS
N=77

PERCENTAGE

NUCLEAR FAMILY

65

84.5

JOINT FAMILY

12

15.5

The  above table 
shows that   majority (84.5 per
cent)of respondents were from nuclear families while less than one fifth (15.5
per cent )of the respondents’ family were joint families.

 

TABLE NO:5

DISTRIBUTION OF THE RESPONDENTS BY SIZE OF THE
FAMILY

 

SIZE
OF FAMILY

NO.OF
RESPONDENTS
N=69

PERCENTAGE

SMALL(2 -5)

52

75.3

BIG(6-9)

17

24.6

The
above table shows that majority(75.3 per cent) of respondents’ families were small
in size while one fourth (24.6 per cent) of respondents’ families were big in
size.

TABLE NO:6

DISTRIBUTION OF THE RESPONDENTS BY THEIR
USE OF SOCIAL MEDIA

 

USE OF SOCIAL MEDIA

NO.OF RESPONDENTS
N=77

PERCENTAGE

YES

55

71.4

NO

22

28.5

 

The above table reveals that majority (7.41
per cent) of respondents were using social media while more than one fourth
(28.5 per cent ) of respondents are not using it.

TABLE NO:7

DISTRIBUTION OF THE RESPONDENTS BY
THEIR AGE AT STARTED USING SOCIAL MEDIA

 AGE (In Years)

NO.OF
RESPONDENTS
N=55

PERCENTAGE

15-20

54

98.1

21 and above

1

1.9

The
above table revealsthatvast majority (98.1 per cent) of the respondents started
using social media from 15-20 years while very few (1.9 per cent) of the
respondents  used social media at the age
of 21years and above.From the above table it is clear that the respondents
started using social media very young age.

 

TABLE NO:8

DISTRIBUTION
OF THE RESPONDENTS BY THEIR TIME SPENT IN SOCIAL MEDIA

TIME
SPENT
(In
hours)

NO.OF RESPONDENTS
N=55

PERCENTAGE

1-2

24

43.6

3-4

25

45.4

5-6

6

10.9

 

The above table reveals about the time spent per day in social media
by the respondents. Less than half  (45.4
per cent and 43.6 per cent) of the respondents spent 3-4 hours and 1-2 hours
per day respectively in social media while few(10.9 per cent) respondents are
spending 5-6 hours per day in social media. From the above table it could be
inferred that the respondents who are using social media are becoming almost
addicted to electronic gadgets since they use it every day wasting their most
precious time without studying.

TABLE NO:9

 DISTRIBUTION OF THE RESPONDENTS BY THE LEVEL
OF MENTAL HEALTH

 

MENTAL HEALTH

NO.OF
RESPONDENTS
N=77

PERCENTAGE

 LOW

1

1.2

MODERATE

38

49.3

 HIGH

38

49.3

 

The above table shows that nearly half (49.3
per cent  and49.3 per cent)) of respondents’
mental health status was moderate and high level respectively while very few (per
cent) of respondents’ had low level of mental health.

TABLE NO:10

 

‘t’ TEST FOR USERS AND NON USERS OF  SOCIAL MEDIA AND MENTAL HEALTH STATUS OF THE
RESPONDENTS

 

MEMBER OF SOCIAL MEDIA

MEAN

SD

STATISTICAL INFERENCE

YES
(N=55)

38.64

6.285

T=-1.110
-1.144

x

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