An Exploratory Study to Assess the Knowledge regarding Selfitis among Adolescents in selected Colleges of Bhubaneswar, Odisha with a view to develop information pamphlet

 

Mrs. Soumya Sonalika

College of Nursing, Kalinga Institute of Nursing Sciences (KINS), KIIT Deemed to be University, Bhubaneswar, Odisha

*Corresponding Author E-mail ssonalika@outlook.com

 

ABSTRACT:

Background of the study:

Selfie is a new vocabulary used to describe the craze of young people’s obsessive behaviour of capturing own photo. Selfie is an image of oneself taken by one self using a digital camera especially for posting on social network. The increase in media and technology there allows society to engage in social media has brought about an increase in the adolescents of narcissism and selfies expressed by milliners. Now a days selfie taking becomes an one type of addiction mainly in adolescents, by through smart phone or cameras. But it really affect on the health of the adolescents, physically and psychologically.

Objectives:

1.      To assess the level of knowledge regarding selfitis among adolescents.

2.      To find out the association between the level of knowledge score with their selected demographic variables.

3.      To develop an information pamphlet on selfitis.

Method: A non-experimental exploratory research design was adopted to carry out the present study. Convenient sampling technique was to select 160 adolescents. Data was collected by using self structured questionnaire to assess the knowledge regarding selfitis among adolescents with a view to develop information pamphlet. The analysis was done by using descriptive and inferential statistics.

Results: Findings of the study revealed that majority of respondents 88 (55%) had inadequate knowledge, 57 (35.62%) are had moderate knowledge regarding selfitis. Area wise knowledge assessment highest mean score (5.17± 2.58) which is 2.23% of maximum score was obtained for the area “definition of selfie syndrome”. The lowest mean score (0.79 ± 0.76) which is 0.49% was obtained by them for the area of “complication of selfitis”. There was significant association between knowledge scores and the selected demographic variables such as income of the family, residence, types of mobile use at 0.05 level of significance.

 

KEYWORDS: Knowledge, selfitis, adolescents, information pamphlet

 

 


INTRODUCTION:

A selfie is a self-portrait photograph, typically taken with a digital camera or camera phone held in the hand or supported by a selfie stick. The obsessive selfie-taking has been classified as a mental disorder and many psychologists have categorized this kind of disorder as “selfitis”. Social media is the prospective of communication, a countless array of Internet based tools and platforms that increase and enhance the sharing of information. The selfie is a phenomenon that has taken over the world quite quickly. Oxford English Dictionary had described “Selfie” as word of the year in 20131. The concept of uploading group self-taken photographs to the internet, although with a disposable camera and not a Smartphone, dates to a webpage created by Australians in September 2001, including photos taken in the late 1990s2.

 

Selfitis,an obsessive compulsive disorder of taking too many selfies. The American psychiatric association (APA) has officially deemed taking selfie as a “mental disorder”. Giving the name “Selfitis” to the disorder, the APA defined the disorder as a type of an obsessive compulsive disorder to take one’s own picture and post them on social media. They also stated that this condition is a mechanism used by people to make up for their low self-esteem and increase intimacy with other people [3].

 

Psychiatrists as beginning to consider the compulsion to take selfies as a serious mental health problem , although precise mechanism of selfie syndrome, isn’t known but it is assumed to be due to imbalance between the excitatory and inhibitory neurotransmitter, serotonergic  pathway could also be involved. However these needs further elucidation for biochemical and neuropsychological testing’s. Approximately 14% of higher percentage of teenage, young and adult population in the developed world and some-what lower in the developing world are suffering from the selfie syndrome with the manifestation varying from mild to severe and the doctors decided for counselling. Self motivation, family therapy for prevention of selfitis[1].

 

Need of the study:

Technology is an indispensible part of our daily life, and it is impossible to neglect its impact on human life. The advent of technological advents as locked to a new realm of medical disorder termed, “Behavioral addiction”, which are now emerging as psychiatric disorder for future. Mobile phone addiction or Smartphone addiction has been reported in literature a cross many studies worldwide. It has been noted across studies that adolescents are more prone to behavioral addiction than adults and people in middle age [4]. Escalation in narcissism proves to be a potential risk to developing young adolescents in terms of their emotional and psychological health [5]. A recent report suggests that more people have died in India in the past two years than the total number of selfie-related deaths in the rest of the world. Using special search techniques to fish through the internet and social media for data, the researchers spotted about 127 confirmed selfie deaths since March 2014[6]. Smart phone addiction is one of the most common behavioral addiction over 1.5 billion human beings owing and using a smart phone worldwide. A study done in South Korea revealed that 11.4% of 10-20 years old and 10.4% of 20-30 years old suffer from smart phone addiction. A meta-analytic study based on studies conducted in India has reported the rates of smart phones addiction to range from 18.5% to 78.8% of people [4].

 

India led the world in selfie-related deaths in 2015, according to Washington Post. Citing reports, the Washington Post says that India accounted for about half of the selfie-related deaths globally[7]. The selfie statistics indicated that about half (47%) of adults were taking selfies. About 40% of people aged between 18 and 34 admitted to taking selfies at least once per week. At the same time, women are believed to take selfies 1.3 times more than men[1]. From the above studies there is need for heightening adolescents knowledge on selfitis and their complications. As a nurse researcher, it is of paramount important to recognize the problems of selfitis and giving them health education through information pamphlet to improve the quality of life.

 

PROBLEM STATEMENT:

An exploratory study to assess the knowledge regarding selfitis among adolescents in Central Institute of Plastics Engineering and Technology (CIPET) Mancheswar, Bhubaneswar and College of IT and Management Education Institutions (CIME) Mancheswar, Bhubaneswar with a view to develop an information pamphlet.

 

OBJECTIVES:

·        To assess the level of knowledge regarding selfitis among adolescents.

·        To find out the association between the level of knowledge score with their selected demographic variables.

·        To develop an information pamphlet on selfitis.

 

HYPOTHESIS:

The hypothesis will be tested at 0.05 level of significant.

H1: There will be a significant association between knowledge score of adolescents with selected demographic variable.

 

DELIMITATIONS:

·        Study was limited to the students studying in +3 1st year.

·        Who were willing to participate in the study.

·        Those were present during the time of data collection.

METHODOLOGY:

RESEARCH APPROACH:

For the present study the exploratory approach was considered.

 

RESEARCH DESIGN:

For the present study non experiment research design was utilized to achieve the objectives of the study.

 

SAMPLING TECHNIQUE:

Convenient sampling technique was used.

 

SAMPLE:

Sample size was 160 adolescents.

 

VARIABLES:

 

RESEARCH VARIABLES:

Knowledge of adolescents on selfitis.

 

DEMOGRAPHIC VARIABLES:

Age, sex, religion, types of family, income of family, father’s occupation, residence, type of mobile use, previous knowledge to source of information regarding ill-effect of selfitis, take more selfie at, time spend in the internet per day, common social media sites and apps uses, number of posting selfies to social networking platform, expected number of likes in selfies, poses preferred for taking selfies.

 

SETTING:

The present study was conducted in Central Institute of Plastic Engineering and Technology (CIPET) Mancheswar, Bhubaneswar, Odisha and College of IT and Management Education (CIME), Mancheswar, Bhubaneswar, Odisha.

 

DESCRIPTION OF TOOL:

·        Section A:

It includes the demographic variables of +3 1st year adolescents students such as age, sex, religion, types of family, income of family, father’s occupation, residence, type of mobile use, previous knowledge to source of information regarding ill-effect of selfitis, take more selfie at, time spend in the internet per day, common social media sites and apps uses, number of posting selfies to social networking platform, expected number of likes in selfies, poses preferred for taking selfies. There were totally 15 items.

·        Section B:

It consist of knowledge items on selfitis (i.e.) definition, etiology, types and levels, epidemiology, sign and symptoms, prevention or treatment, complication on selfitis. This section has 30 items. Each item has four options which one most correct answer.

 

SCORING PROCEDURE:

The knowledge on selfitis was measured in terms of knowledge scores. Each correct response was awarded a score of ‘one’ and wrong response carries the score ‘zero’. The total score was 30. An answer key was prepared for scoring answer to the closed ended questionnaire guide.

 

TABLE 1- Percentage of scores revealing level of knowledge

Level of knowledge

Percentage of scores

Actual scores

Inadequate knowledge

<50%

0-15

Moderate knowledge

51-75%

16-23

Adequate knowledge

>75%

24-30

 

DEVELOPMENT OF PAMPHLET:

The researchers prepared the pamphlet on selfitis. The content in pamphlet includes definition, types, levels, epidemiology, pathogenesis, sign and symptoms, prevention, complication of selfitis.

 

DATA COLLECTION TECHNIQUE:

The investigator collected data from Central Institute of Plastic Engineering and Technology (CIPET) Mancheswar, Bhubaneswar and College of IT and Management Education (CIME) Mancheswar, Bhubaneswar, Odisha. Prior permission was obtained from higher authorities of the college to conduct the study. 160 adolescents were selected as per inclusive criteria. Informed consent was obtained from the study samples. Descriptive and inferential statistics was used for data analysis.


 

RESULTS:

Table no. 2 Distribution of subjects according to the Demographic variablesN=160

Demographic variables

Frequency (f)

Percentage (%)

Age (in years)

           ≤ 18

           19-20

            ≥ 21

 

54

74

32

 

33.75

46.25

20

Gender

Male

Female

 

89

71

 

55.62

44.37

Religion

Hindu

Muslim

Christian

Others

 

129

15

13

3

 

80.62

9.37

8.12

1.87

Type of family

Nuclear

Joint

Extended

 

55

96

9

 

34.37

60

5.62

Father’s Occupation

Govt.Services

Businessman

Private sector

 

42

63

55

 

26.25

39.67

34.37

Socio-economic Status

Low

 Middle

High

 

11

10

9

 

36.6

33.3

30

Residence

Urban

Rural

 

89

71

 

55.62

44.37

Types  of mobile phone use

Android

Windows

I-Phone

Other Smart Phone

 

96

21

25

18

 

60

13.12

15.62

11.25

Previous Knowledge

No

Yes

 

111

49

 

69.37

30.62

Take more selfies at

Home

At school

At work

 

83

40

37

 

51.87

25

23.12

Time spend in the internet per day

Less than 1 hour

1-2 hours

2-3 hours

More than 3 hours

 

46

35

29

50

 

28.75

21.87

18.12

31.25

Common social media sites and apps uses

Facebook

Twitter

Instagram

Whatsapp

 

67

25

19

49

 

41.87

15.62

11.87

30.62

No. of posting selfie to social networking platform

0-1              times per week

2-3 times per week

4-5 times per week

≥ 5 times per week

 

80

48

15

17

 

50

30

9.37

10.62

Expected number of likes in selfies

<100

100-500

500-1000

>1000

 

69

60

18

13

 

43.12

37.50

11.25

8.12

Poses preferred for selfie taking

Smiling Face

Duck Face

Selfie of the selfie

The two handed selfie

 

118

22

14

6

 

73.75

13.75

8.75

3.75

 

Table –3 Frequency and percentage distribution of level of knowledge score among adolescents: n=160

Level of knowledge

Frequency

Percentage (%)

Inadequate knowledge

88

55

Moderate knowledge

57

35.62

Adequate knowledge

15

9.37

 

Table-4 Area wise distribution of mean, mean percentage and standard deviation on knowledge score:-

Sl. No

Area

Mean

Mean percentage (%)

Standard deviation

1

Definition

5.17

3.23

2.58

2

Aetiology

0.95

0.59

1.11

3

Types and level

2.45

1.53

1.42

4

Epidemiology

1.49

0.93

0.88

5

Sign and symptoms

2.34

1.46

1.34

6

Prevention and treatment

1.56

0.97

1.08

7

Complication

0.79

0.49

0.76

Table-5 Data on association between the levels of knowledge score with their selected demographic variables

Demographic variables

Chi-squareValue

Degree of freedom(df)

Tabulated value (p0.05)

Inference

Age

9.85

6

12.59

Not significant

Gender

2.1

2

5.99

Not significant

Religion

8.83

6

12.59

Not significant

Types of family

6.32

4

9.49

Not significant

Income of family

26.4

12

21.03

Highly significant

Father’s occupation

9.81

4

9.49

Significant

Residence

6.38

2

5.99

Highly significant

Types of mobile use

19.78

6

12.59

Highly significant

Previous knowledge regarding ill effects of selfitis

0.56

2

5.99

Not significant

Time spend in internet per day

13.93

6

12.59

Highly significant

Common social media sites and apps uses

8.37

6

12.59

Not significant

Number of posting selfies to social networking site

18.00

6

12.59

Highly significant

Expected no. of likes in selfie

4.55

6

12.59

Not significant

Pose preferred for selfie taking

7.19

6

12.59

Not significant

 


DISCUSSION:

·        The findings of the study related to demographic variables revealed that majority 74(46.25%) adolescents belongs to 19-20 years and were male. 89(55.62%) were from urban area and 111(69.37%) didnot  have previous knowledge on selfitis.50% of adolescents used  internet more than one hour and post selfie 0-1 time per week.

·        The findings of the study revealed that majority 55% had inadequate knowledge and 10% had adequate knowledge and after the administration of information pamphlet knowledge score improved.

·        The above findings of the study showed that during assessment on area wise distribution highest mean score (5.172.58) which is 2.23% of maximum score was obtained for the area “definition of selfitis”. The lowest mean score (0.79) which is 0.49% was obtained by them for the area of “complication of selfitis”.

·        The data showed that the distribution of information pamphlet is effective in improving the knowledge level of adolescents regarding the prevention of selfitis.

·        The findings of the study also revealed that significant association was found between knowledge scores in relation to selected demographic variables (p<0.05) of +3 1st year adolescents college students.

 

RECOMMENDATIONS:

·        A similar study can be undertaken for +2 college students and school students.

·        A study can be conducted on adult to assess the knowledge and attitude towards selfie syndrome.

·        A similar study can be conducted by using different teaching method.

·        A similar study can be done with experimental approach.

·        A similar study can be replicated in different parts of the states and countries to examine the variation in the contributing factors.

 

REFERENCES:

1.     Sai Krishna G, Komal Krishna T. Selfie Syndrome: A Disease of New Era. Research in Pharmacy and Health Sciences Vol 2 Issue 2 Apr-Jun, 2016; 118-121.

2.     wikivisually.com/wiki/selfies

3.     https://adobochronicles.com/ www.mtatva.com n https://www.newsgram.com › Life Style › Health and Fitness

4.     Dutta,et.al’ : Attitudes towards selfie taking. Indian Journal of Psychological Medicine, May-June 2016, 38(3): 242–245.

5.     Taylor M. Wickel S.Narcissism and Social Networking Sites: The Act of Taking Selfies Available from URL: www.elon.edu/u/academics/communications/journal/. /01WickelEJSpring15

6.     Yadav N. Killfie-India records the most selfie deaths in the world Available from URL: http://www.bgr.in/ news/ November22, 2016.

7.     TOI Tech. India had the most selfie related deaths in 2015: Report. Available from URL: http://www.washingtonpost.com/news/worldviews

 

 

 

 

 

 

 

Received on 18.11.2017       Modified on 11.12.2017

Accepted on 15.01.2018       ©A&V Publications All right reserved

Int.  J. of Advances in Nur. Management. 2018; 6(1): 57-61.

DOI: 10.5958/2454-2652.2018.00013.6