INTRODUCTION:

The internet makes our planet a small one, but it is needed to make sure that the wonderful tool that bind us, does not become bondage. An adolescence go online with greater frequency, the risk for addiction and the form it takes become greater which affect their social and academic life.

Excessive internet addiction is commonlyresearched by psychologists as it decreases and occasionally predicts social, interpersonal and professional in teracts, trigger anxiety, action, the feeling of desolation, and raises aggressiveness rate. Since internet connection is accessible in every location, children and adolescences of every group of age growing internet on the internet day by day. The current status or incidence of internet users in 2016 is 3,424,971,237. Around 40% of the world population has an internet connection today.In 1995, it was less than 1%.the number of internet users has increased tenfold from 1999– 2013. The first billion was reached in 2005. The second billion in 2010 .the third billion in 2014, in Asia 48.4% (1,322,491,069) were internet users.

OBJECTIVES

· To assess the knowledge on factors influencing internet addiction among adolescence using a self structure closed ended questionnaire.

· To find the association between knowledge on factors influencing internet addiction and selected demographic variables.

REVIEW OF LITERATURE:

Section A: Studies Related To Prevalence of internet addiction:

An online document titled “internet addiction in India” says the ultimate truth is that internet is as addictive as it is useful. Unrestrained andunsupervised uses of the web will find themselves invariably and unwillingly chained by the shackles of the addictive elements of the internet. Among 3.5 crores of the internet users there are 30 lakhs user who are addicted to internet or surfing or browsing in India.

Section B: Studies Related To Factors influencing internet addiction:

A descriptive study was conducted to examine the relationship between the levels of problematic internet use and gender.The data was collected from 437 university students. The result indicated the factors such as gender,level of psychologicalsymptom connecting to the internet, most often. The data was collected from 437 university users primarily asked to communicate with friends and to have good time predicted significantly to the level of problematic internet use of the students.

Section C: Studies Related To Internet Addiction among Students:

An article titled “internet addiction a new compulsion “.Says internet is a new compulsion that has hit today’s youth. Louise Nadeau from university demon real, department of psychology, says the problem is not widespread but we know of serious cases in which teenagers don’t leave the house, don’t have the interpersonal relationship and have been isolated in front of their computer screen for the past two or three years, and only speak in the language of the character they play with in network video games.

MATERIALS AND METHODS:

Methods:

Quantitative research approach was adopted for the study.

Research Design:

Descriptive research design was used for the study

Setting:

The setting for the study is Govt. Boys Higher Secondary School, Kollam.

Sample:

100 Samples were used for the study.

Sampling technique:

Simple random sampling is used for the study.

Materials:

The tools used for the data collection of this study was structured questionnaire and it consist of two sections, Section A and Section B. Section A consist of demographic variables (such as age, sex, education, type of family, income, internet availability, Duration) Section B consist of factors influencing internet addiction (such as family back ground, socio economic status, entertainment, informative education, peer group, stress and anxiety). This questionnaire consist of 25 questions. This questionnaire is five point scale(strongly agree 5, agree 4, indifferent 3, disagree 2,strongly disagree 1).

DATA COLLECTION PROCEDURE:

Prior to data collection permission was taken from our institution and the principal of Govt. Boy’s Higher Secondary School, Kollam. The time period allotted for data collection was 02 -02 -2016 to 06 -02-2016. Total of 100 samples were selected by,Simple random sampling method (by attendance). Consent were taken from the parents. Then questionnaire were distributed to each sample .The instruction regarding the questionnaire was given prior to data collection process .The duration of data collection from each sample takes around 15 minutes.

DATA ANALYSIS:

The data will be analysed in terms of objectives of the study using descriptive and inferential statistics.

FINDING OF THE STUDY:

The distribution of the higher secondary school students according to their age group .In this study 78% were in the age group of 17 -18 years and 22% in the age group of 16 -17 years.

The distribution of higher secondary school students according to sex were in the majority (62 %) female and (38 %) were male.

The distribution of the higher secondary school students according to their type of family. Most of the students in nuclear family (90%) and joint family(10%).

The distribution of higher secondary school students according to their income, where in most of the students <10000 is 52 %, 40% of students in 10000 -10,0000 and 8% belong to > 1,00,000.

The distribution of the higher secondary school students according to their internet availability. Most of the students use mobile phones (59%), (26%) were use both computer and mobile phone and 10% does not use any of the devices, and 5% of students use computer.The distribution of the internet is high(32%) used one hour and 31% of the students used occasionally, 13% of school students were using internet between 2- 6 hours and 15% does not used internet and 9 % of the students used > 6 hours.

Table: 1 Description of knowledge of higher secondary school students on factors influencing internet addictionN = 100

Knowledge level	Frequency	Percentage	Mean	Standard deviation
Very low	0	O
Low	0	0
Moderate	16	16%	88.4	13.156
Good	66	66%
Very good	18	18%

Table: 1 shows that the mean value of knowledge of higher secondary school students on factors influencing internet addiction was 88.4 and standard deviation was 13.156.

Table: 2 Association between factors influencing internet addiction and demographic variables N = 100

Demographic variable	Mean	Standard deviation	Chi-Square	Significant/ Not Significant
Age			1.4305	NS
Sex			0.199	NS
Type of family	88.44	13.156	5.3922	NS
Income			41.76	S
Internet availability			3.211	NS
Duration of internet usage			7.0965	NS

NS = Not Significant ^**S =Significant*

Table: 2 Shows that there is no association between factors like age, sex, education, type of family, internetavailability, andduration. But there is a significant association between the income and factors influencing internet addiction (p < 0.05).

Percentage Distribution of Income N =100

Figure: 1 Income wise distribution of students

Above diagram show that the distribution of higher secondary school students according to their income, where in most of the students <10000 is 52 %, 40% of students in 10000 -10, 0000 and 8% belong to > 1, 00,000.This shows association between knowledge of students.

CONCLUSION:

The findings revealed that mean score of all the factors was 88.44. the chi –square test was used to find the association between the factors influencing internet addiction and the selected demographic variables .There is a significant association between knowledge level and income and no any other significant association was found between any of the factors of the demographic variables. Thus the knowledge of higher secondary students under our study found good knowledge regarding the factors influencing internet addiction.

REFERENCE:

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2. Nair P. Internet addiction and its impact. Journal of Indian media studies 2006: PP: 1(1).

3. KOCH, Ken J Y. Factors predictive for incidenceand remission of internet addiction in young adolescents. “Journal of cyber psychology” 2007 Aug:10 (4) : PP: 545 – 51

4. Jeshi. Caught in the web. The Hindu Indian National Newspaper Metroplus, 2007 Sep 6

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Received on 29.06.2017 Modified on 23.08.2017

Int. J. Nur. Edu. and Research. 2018; 6(1): 41-43.

DOI: 10.5958/2454-2660.2018.00010.8