A Study to assess selfie syndrome (level of selfitis) and selfitis behavior among B.Sc Nursing students at selected Nursing College in Jammu

 

Mrs. Deva Pon Pushpam. I

Assistant Professor, Bee Enn College of Nursing, Jammu.

*Corresponding Author E-mail: pushpapdeva@gmail.com

 

ABSTRACT:

Over a period of time, technological advancement has given us new addiction disorders. Last two decades were known for computer addiction disorder and internet addiction disorders. Smartphone has intruded in our daily life so much that without which we cannot survive. Many of today generation smart phones are equipped with high resolution camera; we call it “selfie” camera. Contributing to this the preference for front camera phones has been increased dramatically within few years. A descriptive study was conducted to assess selfie syndrome (level of selfitis) and selfitis behavior among B.Sc Nursing students. Simple random sampling technique was used to select 100 B.Sc Nursing students. Structured questionnaire to assess selfie syndrome and selfitis behavior scale were used to collect the data from the participants. The results revealed that majority (79%) of the students had borderline selfitis and majority (51%) of the students had moderate selfitis behavior. There was a significant association between selfitis behavior and age.

 

KEYWORDS: Selfie syndrome, Selfitis behavior, Nursing students.

 

 


INTRODUCTION:

A “selfie” is defined as a self-portrait photograph that a person has taken of oneself, typically with a smartphone or webcam and then shared via social media(8). The word introduced in 2013 has become a household name and is even featured in the latest Oxford English Dictionary(9). 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. Selfies are often shared on social networking services such as Facebook, Instagram, and Twitter(6). Initially, popular with young people, selfies gained wider popularity overtime. In recent years, selfie-taking has become an incredibly popular activity often going viral online when sharing selfies via social media domains(4).

 

Certain studies have reported selfie taking being linked to psychopathologies such as grandiosity, narcissism, and body dysmorphic disorder(5). There are various studied at international and national level that stated Selfitis- Selfie Craze and Addiction or selfitis is obsessive compulsive disorder or new mental disorder of modern era. Defined as an “obsessive taking of selfies,” the concept of selfitis first made the rounds online in 2014, when international media said that it has been classed as a mental disorder by the American Psychiatric Association(9).

 

STATEMENT OF THE PROBLEM:

A descriptive study to assess selfie syndrome (level of selfitis) and selfitis behavior among B.Sc Nursing students at selected Nursing college in Jammu.

 

OBJECTIVES:

·       To assess the selfie syndrome (level of selfitis) among B.Sc Nursing students.

·       To assess the selfitis behavior among B.Sc Nursing students.

·       To associate the selfitis behavior with selected socio demographic variables.

 

REVIEW OF LITERATURE:

Soumya Sonalika (2019) conducted an exploratory study to assess the knowledge regarding selfitis among adolescents in selected colleges of Bhubaneswar, Odisha with a view to develop information pamphlet. Out of 160 samples selected using convenient sampling technique, 55% had inadequate knowledge and 10% had adequate knowledge.

 

Kalpana T, Hemalatha and Bhagyalakshmi (2019) conducted a descriptive study on the assessment of the level of knowledge among adolescents on selfie syndrome in selected college, Tirupathi. 184 samples were selected using convenient sampling technique. In that 48.91% had inadequate knowledge, 19.5% had moderate knowledge and 55% had adequate knowledge.

 

Singh V and Yadav A (2018) conducted a study to assess the selfitis behavior and selfie syndrome (level of selfitis) among the nursing students. A descriptive research design was used with 200 nursing students selected using multistage random sampling. 70.5% had moderate selfitis behavior, 29.5% had severe selfitis behavior and 0% had mild selfitis behavior and 73.5% were at level of borderline selfitis, 20.5% were at level of acute selfitis and 6% were at level of chronic selfitis.

 

MATERIALS AND METHODS:

Research approach:

Quantitative approach was used for this study.

 

Research design:

Descriptive research design was adopted for this study.

 

Target population:

The target population for this study was B.Sc Nursing students.

 

Research setting:

The study was conducted at Bee Enn College of Nursing, Jammu.

 

Sampling technique:

Simple random sampling technique was used to select the samples. The sample size was 100.

 

CRITERIA FOR SAMPLE SELECTION:

The following criteria are used in this study to select the samples.

 

Inclusion criteria:

·       Both male and female students were selected.

 

Exclusion criteria:

·       The students who were not willing to participate.

·       The students who were absent during the time of data collection.

 

TOOL AND METHOD OF DATA COLLECTION:

Data was collected using the structured questionnaire. The structured questionnaire consists of 2 sections

·       Section A: Socio demographic data

·       Section B: Structured questionnaire to assess selfie syndrome

·       Section C: Selfitis Behavior scale

 

SCORING PROCEDURE:

Section B: Selfie syndrome (level of selfitis):

·       Borderline Selfitis- Up to three selfies per day, but not sharing on social media

·       Acute Selfitis- Three selfies per day, and sharing them on social media

·       Chronic Selfitis- At least six selfies per day and sharing every selfie on social media

 

Section C: Selfitis Behavior Scale:

20 questions in 5point likert scale. Minimum score will be 20 and maximum score will be 100(7).

 

S. No

Score

Category of Selfitis Behaviour

1.

0 33

Mild Selfitis Behavior

2.

34 67

Moderate Selfitis Behavior

3.

68 - 100

Severe Selfitis Behavior

 

DATA ANALYSIS:

The collected data was organized, classified, grouped and analyzed on the basis of descriptive and inferential statistics such as mean, standard deviation and chi square.

 

RESULTS AND DISCUSSION:

·       Majority of the students (50%) were 17 – 20 years of age, 92% were females, (51%) were living in rural area and (37%) had the monthly income of the family between Rs.47,266 – Rs.63,178.

·       79% of the students had borderline selfitis, 17% of the students had acute selfitis and 4% of the students had chronic selfitis.

·       51% of the students had moderate selfitis behavior, 26% of the students had severe selfitis behavior and 23% of the students had mild selfitis behavior.

·       The mean score of the selfitis behavior scale was 51.02 and standard deviation was 18.01

·       There was no significant association between selfitis behavior and selected socio demographic variables except age.

 

CONCLUSION:

The following conclusions were drawn from the study:

·       Majority of the students (79%) had borderline selfitis.

·       Majority of the students (51%) had moderate selfitis behavior.

·       There was a significant association between selfitis behavior with selected socio demographic variable such as age.

 

IMPLICATIONS:

·       The present study emphasizes the need for educating the nursing students regarding selfitis behavior.

·       The findings of the study help to expand the professional knowledge upon which further research can be conducted.

·       School education programmes can be conducted targeting adolescent students to aware about the selfie syndrome.

 

RECOMMENDATIONS:

·       A similar study can be conducted with large number of samples.

·       A comparative study can be conducted among girls and boys.

·       A comparative study can be conducted among nursing students and other graduate students.

 

REFERENCES:

1.      Kalpana T, Hemalatha, Bhagyalakshmi. Assessment of the level of knowledge among adolescents on selfie syndrome in selected college, Tirupathi. IOSR Journal of Nursing & Health Science. 2019; 8(4): 55-64.

2.      Soumya Sonalika. An exploratory study to assess the knowledge regarding selfitis among adolescents in selected colleges of Bhubaneswar, Odisha with a view to develop information pamphlet. International Journal of Advance in Nursing Management. 2018; 6(1): 57-61

3.      JanarthananBalakrishnan. An Exploratory Study of Selfitis and the Development of the Selfitis Behavior Scale. International Journal of Mental Health Addiction.2018;16: 722-736.

4.      Singh.V, Yadav. A. A study to assess the selfitis behavior and selfie syndrome (level of selfitis) among nursing students. International Journal of Medical Research and Review. 2018;6(08):452-457

5.      Kaur Sukhdeep & Maheswari SK. A study to assess the Narcissistic personality and selfie taking behavior among college students. International Journal of Medical and Health Research. 2018; 4(5): 56 – 60.

6.      Dutta et al. Attitude towards selfie taking. Indian Journal of Psychological Medicine. 2016; 38(3): 242-245.

7.      Sai Krishna G, Komal Krishna T. Selfie Syndrome: A disease of New Era. Research in Pharmacy and Health Science. 2016; 2(2): 118-121.

8.      Albury K. Selfies, sexts, andsneaky hats: Young people’s understandings of gendered practices of selfie presentation. International Journal of Communication. 2015; 9:1734-1745.

9.        https://mymodernmet.com/selfitis-selfie-obsession-disorder/

 

 

 

 

Received on 28.08.2020         Modified on 17.09.2020

Accepted on 30.09.2020       ©A&V Publications All right reserved

Int.  J. of Advances in Nur. Management. 2020; 8(4):335-337.

DOI: 10.5958/2454-2652.2020.00074.8