A Cross Sectional Study to measure the level of Internet addiction among adolescents in Manchanath Dev High School, Sameigadia, Bhubaneswar with a view to develop an Information Leaflet

 

Mrs. Soumya Sonalika

Assistant Professor, Dept. of Community Health Nursing, Kalinga Institute of Nursing Sciences (KINS),

KIIT University, Bhubaneswar, Odisha

*Corresponding Author E-mail: ssonalika@outlook.com

 

ABSTRACT:

Background of the study: There has been an explosive growth in the use of internet not only in India but also worldwide in the last decade. There were about 42 million active adolescent internet user in urban India in 2008 as compared to smaller in 2000.The internet is used by same to facilitated research to seek information, for interpersonal communication, and for business transaction. On the other hand, it can be used by same to indulge in pornography, excessive gaming, chatting for long hours and even gambling. There have been growing concerns worldwide for what has been labelled as ‘internet addiction’. School students who have social, peer or behavioural problems are more susceptible to internet addiction.

Objectives:

1.     To measure the level of internet addiction among adolescents.

2.     To associate the level of internet addiction with their selected demographic variables.

3.     To develop an information leaflet on internet addiction.

Method: A non-experimental exploratory research design was adopted to carry out the present study. Convenient sampling technique was to select 50 adolescents. Data was collected by using Young’s Internet Addiction Test (IAT), 20 item 5-pointLikert scale to measure the level of internet addiction among adolescents with a view to develop information leaflet. The analysis was done by using descriptive and inferential statistics.

Results: Findings of the study revealed that majority of respondents 23 (46%) had mild level of internet addiction, 13 (26%) had moderate level of internet addiction and 9(13%) had no internet addiction. There was significant association between level of internet addiction and the selected demographic variables such as per capita income of the family, father’s occupation, types of mobile use at 0.05 level of significance.

 

KEYWORDS: Internet addiction, adolescents, information leaflet.

 

 


 

 

 

 

INTRODUCTION:

BACKGROUND OF STUDY:

The internet is the biggest world-wide communication network of computer. It has millions of smaller domestic, academic business and government network, which together carry many deferent kind of information. The term is some time abbreviated on “the net”. The worldwide web is one of biggest services. It is used by a few billion people.(1)

The fascinating world of internet originated in the 1960’s, when the United States used it for military purposes for the first time(2). Since the mid 1990s, many education policy makers have promoted widespread access to the internet in schools. National initiatives have expanded that assess. Over the same period, access to the internet has been expanding locations outside of the school, especially to homes with school aged children. By July 2002, Pew Internet & American Life Project Surveys showed that 60% of America’s children, more than 43 million children under 18, use the internet. About 78% of those between the ages of 12 & 17 use the internet. In addition, more than one in five thousands with children (23%) have broadband connectivity through Digital Subscriber Line (DSL) technology or cable modem.(3)

 

A study has revealed that 6% of people are suffering from internet addiction worldwide, hampering their health and interpersonal relationships. Researchers from University of Hong Kong presented 164 internet addiction prevalence figures, with an overall global prevalence estimate of 6%. Data was taken from more than 89,000 individuals of 31 countries. Prevalence ranged from a low of 2.6% in Northan and western Europe to a high of 10.4% in the middle east. The authors described factors associated with higher internet addiction, prevalence and how it relates to individuals’ quality of life. It is an impulsive control problem masked and inability to inhibit internet use which can adversely affect a person’s life(4)

 

Approximately 93% of adolescents in the U.S have reported to use the internet and approximately 70% of adolescents in Europe surf online for 2-4 hours per day. It was estimated that about 99.9% of Korean adolescents use internet in daily life. The overuse of internet, on the hands, is uprising concern. Approximately 13% of adolescents were categorized as problematic internet user in the 2010 Korean youth risk behaviour web based survey. 21.8% of Korean adolescents have been found to overuse computers for gaming(5)

 

The world’s most developed countries already have an internet penetration level over 90%, Denmark, 96.3%, UK, 92.6%, or japan, 91.1%, while the highest growth rates are recorded on the African continent in developing countries like mali.18.6%, Cameroon, 16.5%, or cote d’Ivoire, 14.3%. Overall rate in Europe is 73.5%of and Croatia with 75%of internet users (Internet world stats 2017)(6)

 

NEED FOR STUDY:

Today, in terms of internet usage, India ranks second with 354 million internet users, ahead of many other countries including the United States (280.7 Million). Internet has profoundly changed the way we work, communicate and live, but it may also lead to addiction. Internet addiction is a growing problem and is known by different terms such as Pathological internet use, Problematic internet use, Compulsive internet use and Internet Overuse. Among the different age groups, school students who struggle to cope up with academic performance or have peer and behavioural concerns are more susceptible to internet addiction. There is a paucity of large sample studies on internet addiction and its determinants from India, a country with huge adolescent population(2).

 

The prevalence found by Green Field was about 60% among the general population, while Schere found it to be 14% among the college-based population. Surveys conducted online revealed that 4-10% of the users met the criteria for internet addiction. General population surveys show a prevalence of 0.3-0.7%. The addicted average 38.5h/week on a computer, where as the non-addicted 4.9 h/week.(7)

 

In the opinion of Goldberg, seen internet addiction disorder an overuse of internet with stress and manifestations of signs of anger, tension and anxiety. It is highly harmful to individual’s health and social wellbeing in that it encourages undesirable behaviour. Internet Addiction Disorders (IAD) is growing at a fast rate becoming a prevalent mental health problem around the world. Internet Addiction leads to different social, psychological and physical disorders. ASAM observed that internet problematic use are liable to negative physical effects such as sleep disturbance, back strain, eye strain etc.  According to him such persons also faces family, academic and social challenge. One of the evil effect of internet addiction is anxiety, stress and depression. Continuous using of internet results to emergency of some concerns that one of them is internet anxiety. There exist a positive and significant relationship between the level of anxiety and internet addiction.(8)

 

According to a study, the addiction problem in India is real at least 24.6 percent of adolescents have problematic internet use or internet addiction disorder (IAD). A report by the Indian Council for Medical Research says that 12% of individuals using internet in the country suffer from this problem. Internet addiction is growing problem world over. Japan, known far its early adoption of technology, was among the first to recognize the challenge of IAD. It is estimated that over 5 lakh children in the 12-18 years age group are victims of screen addiction. High school students spend over 6 hours during week days and in many cases, students skips school to be online. The HRD Ministry should consider mandatory training for school and college staff, who in turn can educate students on responsible use of the internet. The main focus should be on improving children cognitive skills and thereby nurturing creativity schools can play a supportive role by educating parents about symptoms and possible actions.(9).

 

PROBLEM STATEMENT:

A cross sectional study to measure the level of internet addiction among adolescents in Manchanath Dev High School, Sameigadia, Bhubaneswar with a view to develop Information Leaflet.

 

OBJECTIVES:

·       To measure the level of internet addiction among adolescents.

·       To associate the level of internet addiction among adolescents with their selected demographic variable.

·       To develop an information leaflet on internet addiction.

 

HYPOTHESIS:

The hypothesis will be tested at 0.05 level of significance.

H1: There will be a significant association between the level of internet addiction of adolescents with selected demographic variable.

 

DELIMITATIONS:

·       Study was limited to the students studying in 10th class.

·       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 non-experimental research approach was considered.

 

RESEARCH DESIGN:

For the present study cross sectional research design was utilized to achieve the objectives of the study.

 

SAMPLING TECHNIQUE:

Convenient sampling technique was used.

 

SAMPLE:

Sample size was 50 adolescents.

 

SETTING:

The present study was conducted in Manchanath Dev High School, Sameigadia, Bhubaneswar, Odisha.

 

DESCRIPTION OF TOOL:

The tool used for research study was Young’s Internet Addiction Test (IAT), 20 item 5-pointLikert Scale questionnaire which measured the level of internet addiction of 10th class students. The tool consist of two sections:

 

Section A:

It includes the demographic variables of 10th class adolescent students such as age, sex, religion, type of family, income of family, father’s occupation, residence, type of gadget use, common social media sites and apps uses, previous knowledge to source of information regarding ill effects of internet addiction. There were totally 11 items.

 

Section B:

It consists of five-point, Likert scale questionnaires on internet addiction. This section has 20 items. Each item had six options.

 

SCORING PROCEDURE:

The level of the internet addiction was measured in terms of percentage scores. Thus, for 20 items, 100 is the maximum obtainable score.

 

Table 1- Percentage of scores revealing level of internet addiction

Level of internet addiction

Percentage of scores

Actual scores

No internet addiction

18%

1-30

Mild level of internet addiction

46%

31-49

Moderate level of internet addiction

26%

50-79

Severe level of internet addiction

10%

80-100

 

DEVELOPMENT OF LEAFLET:

The researchers prepared the leaflet on internet addiction. The content in leaflet includes definition, sign and symptoms, prevention and harmful effects of internet addiction.

 

DATA COLLECTION TECHNIQUE:

 The investigator collected data from Manchanath Dev High School, Sameigadia, Bhubaneswar, Odisha. Prior permission was obtained from the Head Master of the school to conduct the study. 50 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 variables                                                                                 N=50

Demographic variables

Frequency (f)

Percentage (%)

Age (in years)

13-15

16-18

≥19

 

43

6

1

 

86

12

2

Gender

Male

Female

 

22

28

 

44

56

Religion

Hindu

Muslim

Christian

 

48

1

1

 

96

2

2

Type of family

Nuclear

Joint

Extended

 

16

31

3

 

32

62

3

Father’s Occupation

Govt.Services

Businessman

Private sector

 

13

27

10

 

26

54

20

Per capita income of family

(In Rupees)

>6254

3127-6253

1876-3126

938-1875

<938

 

 

28

11

4

6

1

 

 

56

22

8

12

2

 

Residence

Urban

Rural

 

39

11

 

78

22

Types  of gadgets use

Mobile Phone

Computer

Laptop

 

45

3

2

 

90

6

4

Previous Knowledge

No

Yes

 

45

5

 

90

10

Time spend in the internet per day

Less than 1 hour

1-2 hours

2-3 hours

More than 3 hours

 

40

8

1

1

 

80

16

2

2

Uses apps  in social media

Facebook

Twitter

Instagram

Whatsapp

 

23

1

4

22

 

46

2

8

44

 



 

 

Table –3 Frequency and percentage distribution of level of internet addiction among adolescents:            n=50

Level of internet addiction

Frequency

Percentage (%)

None

9

18

Mild

23

46

Moderate

13

26

Severe

5

10

 

 

 

Table-4 Data on association between the levels of internet addiction with their selected demographic variables

Demographic variables

Chi-square Value

Degree of freedom (df)

Tabulated value (p0.05)

Inference

Age

4.93

6

12.59

Not significant

Gender

5.52

3

7.82

Not significant

Religion

6.57

9

16.92

Not significant

Types of family

10.1

6

12.59

Not significant

Per Capita Income of family

8.02

12

21.03

Highly significant

Father’s occupation

4.59

6

12.59

Highly Significant

Residence

6.66

3

7.82

Not significant

Types of Gadget use

3.67

6

12.59

Highly significant

Previous knowledge regarding ill effects of internet addiction

2.29

3

7.82

Not significant

Time spend in internet per day

14.24

9

16.92

Highly significant

Common social media sites and apps uses

12.43

9

16.92

Highly significant

 

 


DISCUSSION:

·         The findings of the study related to demographic variables revealed that majority 43(86%) adolescents belongs to 13-15 years and 28(56%) were female. 31(62%) adolescents belongs to joint family and 29(58%) of adolescent’s family per capita income is more than Rs 6254 and their father’s occupation is business. 39(78%) were from urban area and 45(90%) did not have previous knowledge on internet addiction.82% of adolescents used internet more than one hour and 23(46%) adolescents prefer facebook.

·         The findings of the study revealed that majority 46% had mild level of internet addiction and 13% had moderate level of internet addiction and after the administration of information leaflet knowledge score improved.

·         The data showed that the distribution of information leaflet was effective in improving the knowledge level of adolescents regarding the prevention of internet addiction.

·         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 10th year adolescents school students.

 

RECOMMENDATIONS:

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

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

·       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.      https://simple.m.wikipedia.org>wiki>internet

2.      Arthanari S et al. Internet Addiction. Indian journal of community health / vol 29 / issue no 01 / jan – mar 2017 pp90-92.

3.      Sousan A, Doug L, Lee R and Amanda L. Pew Research Center-Internet and Technology. August 14, 2002 Available from URL: www.pewinternet.org>2002/08/14>part-i-background-and-introduction

4.      The Hindu, New York -Internet Addiction affects 6 % of world population, December 17, 2016-4.36 IST googleweblight.com. Available from URLwww.thehindu.com>sci-tech>internet

5.      So Young Kim, Min Su Kim and HyoGeun Choi, The Association Between Internet use time and school performance among Korean adolescents differ according to the purpose of the internet, Plos One,2017;12(4):e0174878. Available from URL: https://www.ncbi.nlm.nih.gov

6.      Martin Mihajlov and Lucija Vejmelka: Internet addiction: a review of the first twenty years, Psychiatria Danubina, 2017; Vol. 29, No. 3, pp 260-272

7.      A Study on Prevalence of Internet Addiction and its association with Psychopathology in Indian Adolescents’ by Deepak Goel, Alka Subhramanyam and Ravindra Kamath, 2013 Available from URL:https://googleweblight.com.

8.      Journal of Mental Disorder and Treatment, ‘Academic Stress and Internet Addiction among adolescents: Solution Focuses Social Interest Programme as Treatment Option Available from URL:  https://www.omicsonline.org>opea-acce-

9.      Internet Addiction’s a public health issue| business Line, by G Krishna Kumar, updated: July 15,2016 21:01 IST Available from URL: www.thehindubusiness.com>upinion

 

 

 

 

 

Received on 07.06.2018          Modified on 25.06.2018

Accepted on 17.07.2018     © A&V Publications all right reserved

Int. J. Nur. Edu. and Research. 2019; 7(1): 05-09.

DOI: 10.5958/2454-2660.2019.00002.4