A Descriptive Study to assess the level of Knowledge regarding Consequences of Internet Addiction among Adolescents in SGRR Public School, Patel Nagar, Dehradun

 

Mrs. Kiran Panthri

Assistant Professor, Narayan Sawami College of Nursing, Dehradun- 248001

*Corresponding Author Email: kiranbishtpanthri@gmail.com

 

ABSTRACT:

A descriptive study was conducted to assess the level of knowledge regarding consequences of internet addiction among adolescents in SGRR Public School, Patel Nagar, Dehradun. A simple descriptive study design with cross sectional survey method was used for this study. The setting of the study was SGRR public school at Dehradun. Population for the present study was adolescents from the private public school. The samples for the present study were comprised of 60 adolescent school children selected by purposive sampling technique. The tool used for data collection is questionnaire. The percentage wise distribution shows that highest percentage (75%) of the samples were having average knowledge regarding consequences, (23%) of them were having good knowledge whereas only (2%) of them were having poor knowledge. It shows that the samples were having previous knowledge regarding the topic. The overall mean score of knowledge regarding consequences of internet addiction among samples was 21.45 and standard deviation was 4.918. There was no association between the level of knowledge regarding consequences of internet addiction with their selected demographic variables.

 

KEYWORDS: Anonymity and confidentiality.

 

 


INTRODUCTION:

Internet is largely seen as one of the world's biggest technology platform. It is a source of knowledge, entertainment, brand building, commerce, education and much more. However, Internet, which has over the years changed the way we live, work and communicates, also has a darker side: Addiction. Internet addition is an impulse control disorder. Some internet users may develop an emotional attachment to on-line friends and activities they create on their computer screens. Internet users may enjoy aspects of the Internet that allow them to meet, socialize, and exchange ideas through the use of chat rooms, social networking websites, or "virtual communities."

 

Other Internet users spend endless hours researching topics of interest Online or "blogging"4. www.addictionrecov.org/Addictions/index

 

Internet addiction is defined as a psychological dependence on the Internet and is characterized by (a) an increasing investment of resources on Internet-related activities, (b) unpleasant feelings (e.g., anxiety, depression, emptiness) when offline, (c) an increasing tolerance to the effects of being online, and (d) denial of the problematic behaviors5. Jonathan J. Kandell,1998.

 

OBJECTIVES OF THE STUDY:

·       To assess the level of knowledge on consequences of internet addiction and its prevention among adolescents.

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

ASSUMPTIONS:

The study assumes that:

·       Students may have some knowledge regarding consequences of internet addiction and its prevention.

·       This comparison of knowledge of students regarding internet addiction may help in the future for the prevention.

 

RESEARCH METHODOLOGY:

Quantitative Approach

 

 

 

Non Experimental Research Design

 

 

 

Adolescents In Sgrr Public School

 

 

 

Purposive Sampling

 

 

 

60 Students

 

 

 

Questionnaire

 

Description of The Tool:

The tool was organized into 2 sections-

·       Sections I

·       Section II

 

Section I – Demographic data consists of 8 items seeking information about age, sex, educational qualification, income, siblings, parents (mother), type of institution and previous knowledge.

 

Section II – Consists of 36 items with the sections of physical, social, mental, emotional. All Correct answer carries 1 mark and wrong answers carry 0 marks.

 

SCORING:

Scoring interpretation was classified into three levels based on the score as follows: The minimum score was 1 and maximum score was 36. The respondents were classified based on the levels of knowledge as:

 

Level of Knowledge

Score

Good

26-36

Average

13-25

Poor

1-12

 

 

Data Collection Procedure:

A prior written permission was obtained from the Headmistress of all the school selected for the study. Study was conducted between for 3 days. After self introduction, nature and objectives of study was explained to the participants to obtain maximum cooperation. Anonymity and confidentiality were assured to them and made them comfortable. Obtained consent from the subject for the study. Tool was distributed during their lunch break to avoid disturbance in their routine classes. At the end of successful data collection, conveyed thanks to the headmistress and teachers and winded up the study.

 

SECTION 1: Frequency and Percentage Distribution of Socio-Demographic Variables Among Samples:

 

Table 1: Frequency and percentage distribution of socio-demographic variables among samples N=60

S. No

Demographic Variable

Frequency

%

1

AGE

 

a.

12 – 14 years

0

0%

b.

 15 -17 years

21

35%

c.

18 – 20 years

39

65%

2

GENDER

 

 

a.

Male

21

35%

b.

Female 

39

65%

3

Educational Qualification

 

a.

Below 10

0

 0%

b.

10

12

20%

c.

12

48

40%

4

Income

 

a.

LESS THAN 5000 Rs

7

12%

b.

5000 – 15000

53

88%

c.

GREATER THAN 15000 Rs

 0

0%

5

Siblings

 

a.

Yes

49

82%

b.

No

11

18%

6

Occupation (Mothers)

 

 

a.

Working

10

17%

b.

Non working

50

83%

7

Type of Institution Where Studying

 

a.

Private

60

100%

b.

Gov

0

0 %

c.

Semi Gov

0

0%

8

Previous Knowledge

a.

Yes

46

77%

b.

No

14

23%

 

SECTION II:

Table– 2: Frequency and percentage distribution of levels of knowledge regarding consequences of internet addiction among samples. N=60

Level of Knowledge

Frequency

Percentage

Good

14

23%

Average

45

75%

Poor

1

2%

 

 

SECTION – III

 

Table– 3: Mean value of levels of knowledge regarding consequences of internet addiction among samples. N=60

 

N

Minimum

Maximum

Mean

Std. Deviation

Knowledge

60

10

31

21.45

4.918

 

SECTION IV:

Association between levels of knowledge regarding consequences of internet addiction with their selected demographic variables.

 

Table – 4: Chi-square value for levels of knowledge regarding consequences of internet addiction with their selected demographic variables.  N=60

S. No

Demographic Variable

df

c2

1

Age

4

.973**

2

Gender

2

.548**

3

Education

4

.268**

4

Income

4

8.002**

5

Sibling

2

.323**

6

Mothers Occupation

2

5.097**

7

Type of Institution

4

1.429**

8

Previous Knowledge

2

.495**

(** - Not Significant at > 0.05 level); (* - Significant at > 0.05 level)

 

RESULTS:

Majority (65%) percentage of them were in the age group of 17-18 years. Their sex depicts that highest percentage (65%) of them were female whereas only (35%) of them were males. In relation to their educational status depicts that most of them (80%) were in 12th class. Income status shows that majority (88%) of them were earning in between 5000 to 15000 Rs. Majority (82%) of them were having siblings. Working status of mother shows that most of them (83%) were not doing job. Type of institution depicts that all of them were from the private school. Higher percentage (77%) of them were having previous knowledge.

 

CONCLUSION:

The present study is descriptive study to assess the level of knowledge regarding consequences of internet addiction. The study findings revealed that samples were having average knowledge regarding consequences of internet addiction. Mean value of level of knowledge is 21.45. The demographic variables were found to be having non significant association with knowledge regarding consequences of internet addiction.

 

RECOMMENDATIONS:

·       A large scale study can be done for replication to standardize.

·       A comprehensive study can be conducted on knowledge in various settings.

·       An experimental study can be conducted to make this more serious in the community.

 

 

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Received on 10.03.2019         Modified on 18.04.2019

Accepted on 30.05.2019      ©A&V Publications All right reserved

Asian J. Nursing Education and Research. 2020; 10(1):01-04.

DOI: 10.5958/2349-2996.2020.00001.4