A study to assess the selfitis behaviour and
selfie syndrome (level of selfitis) among the nursing students
Singh V.1,
Yadav A.2
1Mr.
Virendra Singh, Nursing Lecturer, Govt. College of Nursing, SPMC, Bikaner, Rajasthan, 2Dr.
Ashok Yadav, Nursing Lecturer, Govt. College of Nursing, SMS, Med. College,
Jaipur, Rajasthan, India.
Corresponding Author: Mr. Virendra Singh, Nursing Lecturer, Govt.
College of Nursing, SPMC, Bikaner, Rajasthan, India. E-mail: singhvirendra809@gmail.com
Abstract
Background: Photography is seen as a powerful means of
expression, as a symbolic language to express what cannot be said in words, and
as a stimulator of emotions and behaviors about which often are not aware. The
term the word "selfie", is declared as the "word of the
year" by the Oxford English Dictionary. Selfie fever has taken a new dimension known as ‘selfitis’. Objectives: To assess the
selfitis behavior, the selfie syndrome (level of selfitis) and find out
significant association of selected background variables with selfie syndrome
(level of selfitis) among nursing students. Material and Methods: It is a non-experimental study carried out on
the nursing students in nursing training institutes in Bikaner city, Rajasthan.
A study was conducted during the year of 2018 and 200 nursing students who are
under training of GNM, B.Sc. nursing and M.Sc. Nursing were selected by using
multi stage random sampling. Self developed questionnaire, Selfitis behavior
scale and structured questionnaire used to collect the date from participants. Results: Based on the finding of the majority of 141(70.5%) nursing students has moderate selfitis behavior
followed by 59(29.50%) nursing students has severe Selfitis
Behaviour and no candidate has mild Selfitis. The mean score of selfitis
behaviour was 62.595 with SD 12.334. Based on findings there was
no significant association of back ground variable with the level of selfitis
except type of course in which student is admitted for nursing training. Conclusion: The present study has proved that selfie syndrome is dominantly developing
craze of modern era due to modern fat changes in technologies. From the finding
of the present study it is concluded that the majority of nursing students have
moderate selfitis behaviour.
Key words- Selfitis behavior, Selfie syndrome, GNM,
B.Sc. Nursing, M.Sc. Nursing
Author Corrected: 30th November 2018 Accepted for Publication: 5th December 2018
Introduction
The first to have captured value therapeutic photography field of mental
health was Hugh Diamond (1856), [1] amateur photographer and in 1914. "Selfie
discussed first by photographer Jim Krause in 2005, although the picture in the
genre of dating using selfie wide of the term. In 2010 Selfie had gained a wide
popularity in social media. Art selfie is one that many people have practiced
and perfected over the years, although the habit of publishing photos on social
networks was born in 2000 with the creation of the first areas in social
networks [2].
The rapid growth of Social Networking Sites
(SNS’s) as well as Smartphone has resulted in a new addiction i.e. ‘Selfie
fever’ [3].
According to a study by Jillian McHugh on 3 April 2013, two thirds of
women aged 16-35 make selfie order posting on facebook [1,4]
The rapid growth of Social Networking Sites
(SNS’s) as well as Smartphone has resulted in a new addiction i.e. ‘Selfie
fever’ [4].
Selfitis: According to APA selfitis is defined as an
obsessive compulsive desire to take photos of self. It is disorder
characterized by a person’s desire to look good continuously and to show it to
others. The following are the types of selfitis based on frequency and sharing
socially [4].
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. Selfie fever made people to portrait them and use
them as an object for likes and comments only. It is also a true fact that some
of the person considers selfie as a token of memorable moments. The self
projected object known as selfie are exhibiting the true and actual behavior of
the particular person. The entry of selfie to new generation’s world has
replaced a major portion of traditional photography. Smartphone industry
invented front cameras in their phone just to attract new customers and to
increase sale and thus to maximize their profit.
Contributing to this the preference for front
camera phones has been increased dramatically within few years. 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
[4]. Selfitis is a current problem for mental health in world of fast growing
modern technology and less no of study are conducted in Rajasthan so researcher
select the present study with purpose of assessing selfitis behavior
and selfie syndrome for baseline and further
analysis of study.
Material and
Methods
Research approach: Quantitative research approach
Research design: Non- experimental Descriptive research
design
Setting
of the study: Nursing
institutes of Bikaner city (Rajasthan).
Population- All nursing students who are under training
for GNM, B.Sc. Nursing and M.Sc. Nursing course in nursing institutes of
Bikaner city (Rajasthan).
Sampling
technique: Multi
stage random sampling technique
Inclusion Criteria- Samples were selected for study who
·
Were willing to participate in study
·
Were admitted in only nursing institutes of Bikaner City.
·
Were available at the time of data collection.
Exclusion Criteria
·
Were not willing to participate in study
·
Were not admitted in only nursing institutes of Bikaner City
·
Were not available at the time of data collection
Tool for Data collection
1. Part-I: Background
Variables (Age, sex, residence, type of institute, course in which admitted and
occupation of father,)
2. Part-II: Selfitis behavior scale to assess selfitis
behavior among the nursing students at nursing institutes of Bikaner city
(Rajasthan)
3. Part-III: structured questionnaire to assess selfie
syndrome (level of selfitis) among the nursing students at nursing institutes
of Bikaner city (Rajasthan)
Scoring System
(A) Selfitis Behaviour Scale
S. No. |
Score |
Category of Selfitis Behaviour |
1 |
0-33 |
Mild selfitis
behaviour |
2 |
34-67 |
Moderate selfitis
behaviour |
3 |
68-100 |
Severe selfitis
behaviour |
(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
Data Analysis: Descriptive statistics, inferential
statistics
Results
The findings are
summarized as follows:
1. Majority of 141(70.5%) nursing students has moderate selfitis
behaviour followed by 59(29.50%) nursing students has severe Selfitis
Behaviour and no candidate has mild Selfitis Behaviour. The mean score of
selfitis behaviour was 62.595 with SD 12.334.
2. Majority of 147(73.50%)
sample were at level of borderline selfilis followed by 41(20.5%) sample were
at level of acute selfitis and 12(6%) samples were at level of chronic
Selfitis.
3. The study show that most of the background
variables indicate no significant association with level of selfitis except
type of course in which admitted. So alternative hypothesis is partially
rejected and researcher failed to reject the null hypothesis at .05 level of
significance..
Table No.-1: Frequency
and percentage distribution of the sample characteristics Age, Sex, Residence, Type of
Nursing Institute, Course in which admitted, Occupation of father.
N=200
Sr. No. |
Demographic
Characteristics |
Frequency{f} |
Percentage{%} |
1. |
Age in Years |
||
A |
17-20 |
141 |
70.5 |
B |
21-24 |
34 |
17.0 |
25-28 |
25 |
12.5 |
|
2. |
Sex |
||
A |
Male |
105 |
52.5 |
B |
Female |
95 |
47.5 |
3. |
Residence |
||
A |
Rural |
61 |
30.5 |
B |
Urban |
139 |
69.5 |
4. |
Type of Nursing Institute |
||
A |
Private |
95 |
47.50 |
B |
Government |
105 |
52.5 |
5. |
Course in which
admitted |
||
A |
G.N.M. |
57 |
28.5 |
B |
B.Sc. Nursing |
112 |
56.0 |
C |
M.Sc. Nursing |
31 |
15.5 |
6. |
Occupation of father. |
||
A |
Government |
65 |
32.5 |
B |
Private |
57 |
28.5 |
C |
Agriculture |
78 |
39.0 |
Total |
200 |
100% |
Table No.-2: Frequency and percentage distribution of the
selfitis Behaviour with Mean and standard deviation among Nursing Students
N=200
Sr.
No. |
Selfitis
Behaviour (Category) |
Frequency{ f } |
Percentage
% |
Mean |
SD |
1 |
Mild Selfitis Behaviour |
00 |
00% |
62.595 |
12.334 |
2 |
Moderate Selfitis Behaviour |
141 |
70.5% |
||
3 |
Severe Selfitis Behaviour |
59 |
29.50% |
Table No.-3: Frequency
and percentage distribution of selfie syndrome
(level of selfitis) the with Mean and standard deviation among Nursing
Students.
N=200
Sr.
No. |
Level of Selfitis (Selfie Syndrome) |
Frequency{ f } |
Percentage
% |
1 |
Boderline
Selfitis |
147 |
73.5% |
2 |
Acute
Selfitis |
41 |
20.5% |
3 |
Chronic
Selfitis |
12 |
6% |
|
Total |
200 |
100 |
Table No.-4: Frequency and percentage distribution of selfie
syndrome (level of selfitis) the with Mean and standard deviation
among Nursing Students.
Sr.
No. |
Back ground Variables |
Chi
Square value |
Degree
of Freedom (df) |
Tabulated
value |
|
1 |
Age |
3.409 |
6 |
12.6 |
NS* |
2 |
Sex |
6.878 |
3 |
7.81 |
NS* |
3 |
Residence |
1.814 |
3 |
7.81 |
NS* |
4 |
Type of Institute |
3.360 |
3 |
7.81 |
NS* |
5 |
Course
Type |
13.107 |
6 |
12.6 |
S* |
6 |
Occupation of Father |
10.654 |
6 |
12.6 |
NS* |
NS*
= Not
Significant S*
=
Significant
Analysis
of selfitis behaviour among nursing students- Finding of the
present study revealed that majority of 141(70.5%) nursing students has moderate selfitis
behaviour followed by 59(29.50%) nursing students has severe Selfitis
Behaviour and no candidate has mild Selfitis Behaviour. The mean score of
selfitis behaviour was 62.595 with SD 12.334.
Analysis
of level of selfitis among nursing students- The finding of the study
revealed that majority of 147(73.50%) sample were at
level of borderline selfilis followed by 41(20.5%) sample were at level of
acute selfitis and 12(6%) samples were at level of chronic Selfitis.
Associate the selected background variables
with the level of selfitis (selfie syndrome).
The calculated
value of the χ2 for the sample characteristics age was 3.409 with df-6,
followed by sex was 6.878*, for residence was 1.814*and type of institute was
3.360*with df-3 for course type was 13.107* and for occupation of father was
10.654* with df-6 respectively at the level of p<0.05***.
The calculated
value of Chi square with background variable was less than tabulated value with
specify df excepting type of course in which admitted.
The study show that
most of the background variables indicate no significant association with level
of selfitis except type of course in which admitted. So alternative hypothesis
is partially rejected and researcher failed to reject the null hypothesis at
.05 level of significance.
Discussion
The present study is an effort to assess the selfitis behaviour and selfie syndrome
(level of selfitis) among the nursing students. In order to achieve the objective of the study a non experimental
descriptive design was adopted. 200 samples were selected by using probability
sampling technique, fulfilling the criteria of sample. There was no enough
study conducted but there viewed study supported the present study for large
extent.
Finding of the present study revealed that majority of 141(70.5%) nursing students has moderate selfitis
behaviour followed by 59 (29.50%) nursing students has severe Selfitis
Behaviour and no candidate has mild Selfitis Behaviour. The mean score of
selfitis behaviour was 62.595 with SD 12.334.Findings of study supported by
study conducted
The finding of
present study supported by study conducted by Veena. G (2015) co regarding
perception towards capturing selfies and its impact among students of Mangalore
University and the
research employed survey method was conducted using a well structured
questionnaire. 120 respondents participated through convenience sampling for
this research. The finding of the study shows that majority 85 (70.83%) of
respondents after taking selfies send them via whats app, 76(71.66%) of
students states that taking a selfie can turn deadly. It was found from the
study 62(51.66%) of the respondents determined with the statement taking
selfies is a waste of time [3], near about similar finding were supported by
Vats. M. (2015) conduct a study, Selfie syndrome: An Infectious Gift of IT to
Health Care and state exact prevalence is not known but as per the experts,
approximately 40% or higher percentage of teenage, young and adult population
in the developed world are suffering from the selfie syndrome with the
manifestations varying from mild to severe [5].
Finding of present study supported by cross sectional study conducted by Satish
Saroshe, Ruchita Banseria et al (2014) regarding assessment of selfie syndrome
among the professional students of a cosmopolitan city of central India and
finding around 11% people accepted that they take selfies daily,
3% said they take selfies for attention, 31% said they had other reasons for
taking selfies, self-objectification and narcissism. Overall 29% people have
done something crazy to look nice for a selfie, 16% of people had negative
experience with posting selfies on social media [6].
Bhardwaj. A, Avasthi. V, Goundar. S. conduct
a survey study on impact of social Net working on Indian Youth showed that the
extensive use of Social Networking in India has been on the rise among the new
generation youths. In today’s world life can not be imagined without Face book,
You tube, Instagram, whats App, LinkedIn or Twitter accounts and online
handles. The new age social networking cultures have been well accepted and
have met an enthusiastic response and acceptance. These finding also possibly
provoke the seifie syndrome among the young generation and have relationship
with the present study [7].
The study show that most of the background
variables indicate no significant association with level of selfitis except
type of course in which admitted. Thakur N et al conduct study which showed
that there is significant association between selfie taking behavior and level
of social health (attention seeking behaviour) among late adolescents which
project the value of Fisher’s exact is .05 which is significant at p=0..05, but
there was no significant association between selfie –taking behavior and
loneliness behavior in late adolescent (p>0.05) [8].
A similar study that indirectly have
relationship with present study conducted by Kela R et al to know the complication
of taking selfie out of the 250 Students, students suffering from low back ache
were 30%, students suffering from stress were 15%, students suffering from
cervical spondylitis were 20%, students suffering from headache were 25% and
students suffering from selfie elbow were 10% [9].
Mrs. Sonalika S. conduct an exploratory study
and findings revealed that majority of respondents 88 (55%) had inadequate
knowledge, 57 (37.62%) were had moderate knowledge regarding selfitis that
provide basis for selfitis and had relationship with the present study [10].
Kaur Sukhdeep & Maheswari SK Conduct a
study Narcissistic personality and selfie taking behavior among college
students support the present study and
findings were 5.3% of college students were taking >15 number of
selfies per day and preferred to took
selfies with their friends (41.3%). Nearly two third (64.66%) of college
students preferred group selfie with joy as dominant emotions (90.3%).Having
love clicking themselves was the most preferred group reason for clicking
selfies (39%). More than two third (70%) of college students upload selfies on
social sites preferably on whatsapp (77.3%), more than half (60%) of college
students sometimes edit their selfies before posting them and 44.5% of college
students never untag themselves from group selfies [11].
Conclusion
The present study
has proved that selfie syndrome is dominantly developing craze of modern era
due to modern fat changes in technologies. From the finding of the present
study it is concluded that the majority of nursing students have moderate
selfitis behaviour.
The present study
recommend to comparative study to assess the selfie syndrome among male and
female, to assess the impact of selfie syndrome on personatilty, assessment of
prevalence of selfie syndrome among the adolescence. Factor analysis can be
performed for identify the specific factor for taking selfie.
Based on the
finding of the majority of 141(70.5%) nursing students has moderate selfitis
behaviour followed by 59 (29.50%) nursing students has severe Selfitis
Behaviour and no candidate has mild Selfitis. The mean score of selfitis
behaviour was 62.595 with SD 12.334.
This study was a descriptive study that provide the
baseline information about the selfie syndrome and selfitis behavior but study
helpful in developing awareness about selfie syndrome.
Contribution of Authors
1. Mr.
Virendra Singh- Concept Design, tool development, conducting study and writing
the manuscript.
2. Dr. Ashok Yadav- Guided and supervise the
study procedure like problem statement, formation of tool for data collection,
study conduction, Analysis and interpretation of data and preparing the
manuscript suitable for publication.
Funding- Nil, Conflict
of interest- None
References
How to cite this article?
Singh V, Yadav A. A study to assess the selfitis behaviour and selfie syndrome (level of selfitis) among the nursing students. Int J Med Res Rev 2018;6(08):452-457. doi:10.17511/ijmrr.2018.i08.09.