A Comparative Study to Assess the Level of Mobile Phone Addiction among Adolescents of selected Rural and Urban area of District Chamba Himachal Pradesh
Anju Thakur
Principal, Shakuntla Memorial B.Sc. College of Nursing.
*Corresponding Author E-mail: shakuntlanursingcollege@gmail.com
ABSTRACT:
Background: - Mobile phones have become a main stream product in today world and have a huge impact. It helps to socialize, create a sense of belonging to peer groups and easy access to media and environment. A part from its regular use mobile phone express individual identities. The aim of the study was to compare the level of mobile phone addiction among adolescent of selected rural and urban area. A quantitative research approach was adopted and comparative descriptive research design was used in the study. Sample of 100 adolescents from rural (50) and urban (50) area were selected by purposive sampling technique. Tools were consisting of Socio demographic variables and Structured likert scale was used to assess the level of mobile phone addiction. The data was analyzed by using descriptive and inferential statistics. Result reveled that in rural areas 17% of adolescent had mild level, 20% had moderate level, 30% had severe level and 0% had very severe level of mobile phone addiction. In Urban areas 2% had mild level, 12% had moderate, 24% had severe level, 12% has very severe level of mobile phone addiction. It was concluded that mobile phone addiction among adolescents is one of the biggest emerging issue in Today ‘s world. It is very important to engage adolescent in outdoor and extracurricular activities and aware those about limited use mobile phone.
KEYWORDS: Comparative, Assess, Mobile phone, Addiction, Adolescents, Rural community, Urban community.
INTRODUCTION:
“Know your Rights and Demand your Rights”
Your Cell phone has already replaced your camera, calender, and alarm clock. don’t let IT Replace your Family.”
· India is the second largest market for mobile phone handsets, and there is tremendous increase in the number of mobile phones users1.
· Teenagers who excessively use their cell phone are more prone to disturbed sleep; restlessness and stress and fatigue. 58% of Asians which includes Indian have comprised to use mobile phones when travelling by air2. According to the survey they have also found that Indians are the “Most Social” with 69% most likely to use their phones in the cinema halls/ movie theaters, 21% use in the place of worship, and 79% while attending a wedding ceremony, 25% users across the markets surveyed have said they used mobile phones in the meetings, 80% of Asians use a mobile phone while eating with so many utility applications being made available on mobile phones3. It to surf the internet or to pay bills, this dependency on mobile phones is escalating at a grater pace4.”
· The Orissa Government [September 16,2008] announced that it has banned the use of mobile phones in the college campuses. “The mobile phones are found to be a disturbing element in college campus. Therefore, we have banned it in the campus,” said higher education minister Samir Das, adding that the order would be implemented in both Government and non Government colleges across the state5. In the first instance of its kind in the count Gujarat Government has banned use of mobile phones in schools and college saying it was affecting educational activities in the institutes6.
RESEARCH PROBLEM:
A comparative study to assess the level of mobile phone addiction among adolescents of selected rural and urban area of District Chamba (H.P)
OBJECTIVES:
1. To assess the level of mobile phone addiction among adolescents of rural area.
2. To assess the level of mobile phone addiction among adolescents of urban area.
3. To compare the level of mobile phone addiction among adolescents of rural and urban area.
4. To find out the association between level of mobile phone addiction among rural area with the demographic variables.
5. To find out the association between level of mobile phone addiction among urban area with the demographic variables.
HYPOTHESIS:
H0 There is no significant difference between the level of mobile phone addiction among adolescents of rural and urban area.
H1 There is significant difference between the level of mobile phone addiction among adolescents of rural and urban area.
METHODOLOGY:
Research Approach: Quantitative research approach
Research Design: Comparative descriptive research design
Rural Area: Sarol and Chakloo rural area of District Chamba
Urban Area: Hardaspura and Paccatala urban area of District Chamba
Population: Adolescents
Target population: Adolescents of rural and urban areas of Distt. Chamba
Sample and Sampling Technique: 100 Samples, non- probability purposive sampling technique.
Criteria measure of level of mobile phone addiction
|
Category |
Percentage |
|
Border line |
0-20% |
|
Mild level |
21-40% |
|
Moderate level |
41-60% |
|
Severe |
61-80% |
|
Very Severe level |
81-100% |
Tools and Method of data collection: -
Section A - Socio demographic variables
Section B - Structured likert scale.
Analysis and interpretation of data
RESULT:
Table 1: Percentage distribution of sample characteristics of Adolescents residing areas Rural and Urban Area
|
Demographic Variables |
N (Rural Area) |
% |
N (Urban Area) |
% |
|
|
Age in (Years) |
|||||
|
14-15 |
11 |
22% |
20 |
40% |
|
|
16-17 |
18 |
36% |
22 |
22% |
|
|
18-19 |
21 |
42% |
19 |
38% |
|
|
Gender |
|||||
|
Male |
28 |
58% |
27 |
54% |
|
|
Female |
21 |
42% |
23 |
46% |
|
|
Transgender |
00 |
00% |
0 |
0% |
|
|
Education |
|||||
|
9th -10th |
13 |
26% |
19 |
38% |
|
|
11th -12th |
37 |
74% |
31 |
62% |
|
|
Religion |
|||||
|
Hindu |
43 |
86% |
26 |
52% |
|
|
Islam |
07 |
14% |
8 |
16% |
|
|
Christianity |
00 |
00% |
14 |
28% |
|
|
Sikhism |
00 |
00% |
2 |
4% |
|
|
Family Type |
|||||
|
Nuclear |
32 |
64% |
25 |
50% |
|
|
Joint |
18 |
36% |
24 |
48% |
|
|
Extended |
00 |
00% |
2 |
4% |
|
|
Area of Residence |
|||||
|
Rural |
50 |
50% |
0 |
0% |
|
|
Urban |
00 |
00% |
50 |
50% |
|
|
Semi Urban |
00 |
00% |
0 |
0% |
|
|
Father’s Education |
|||||
|
Illiterate |
00 |
00% |
2 |
4% |
|
|
Metric |
19 |
38% |
23 |
46% |
|
|
Senior Secondary |
15 |
30% |
11 |
22% |
|
|
Graduate |
15 |
30% |
10 |
20% |
|
|
Post Graduate |
01 |
02% |
4 |
8% |
|
|
Mother’s Education |
|||||
|
Illiterate |
06 |
12% |
|
|
|
|
Metric |
33 |
66% |
26 |
52% |
|
|
Senior Secondary |
09 |
18% |
8 |
16% |
|
|
Graduate |
01 |
02% |
8 |
16% |
|
|
Post Graduate |
01 |
02% |
3 |
6% |
|
|
Father’s Occupation |
|||||
|
Government Job |
18 |
36% |
21 |
42% |
|
|
Private Job |
29 |
58% |
27 |
54% |
|
|
Farming |
01 |
02% |
2 |
4% |
|
|
Retired |
02 |
04% |
0 |
0% |
|
|
Deceased |
00 |
00% |
0 |
0% |
|
|
Mother’s Occupation |
|||||
|
Government Job |
02 |
04% |
15 |
30% |
|
|
Private Job |
01 |
02% |
15 |
30% |
|
|
Housewife |
46 |
92% |
19 |
38% |
|
|
Retired |
00 |
00% |
1 |
2% |
|
|
Deceased |
01 |
02% |
0 |
0% |
|
|
Family’s Monthly Income |
|||||
|
<10,000 |
09 |
18% |
13 |
26% |
|
|
10001-30,000 |
29 |
58% |
18 |
36% |
|
|
>30,000 |
12 |
24% |
19 |
38% |
|
|
Phone Used By You |
|||||
|
Own self |
37 |
74% |
41 |
82% |
|
|
Parents |
13 |
26% |
9 |
18% |
|
|
Siblings |
00 |
00% |
0 |
0% |
|
|
Friends |
00 |
00% |
0 |
0% |
|
|
Numbers of Mobile Phone |
|||||
|
Zero |
03 |
06% |
2 |
4% |
|
|
One |
46 |
92% |
39 |
78% |
|
|
Two |
01 |
02% |
7 |
14% |
|
|
Three |
00 |
00% |
2 |
4% |
|
|
Type of Phone |
|||||
|
Key pad |
00 |
00% |
0 |
0% |
|
|
Android |
50 |
100% |
48 |
96% |
|
|
Tablet |
00 |
00% |
0 |
0% |
|
|
Both(A)&(B) |
00 |
00% |
2 |
4% |
|
|
Number Of Sims |
|||||
|
One |
30 |
60% |
28 |
56% |
|
|
Two |
20 |
40% |
18 |
36% |
|
|
More than two |
00 |
00% |
4 |
8% |
|
|
Number Of Hours used in a day |
|||||
|
Minimum 4hrs |
14 |
28% |
3 |
6% |
|
|
6hrs |
14 |
28% |
16 |
32% |
|
|
8hrs |
12 |
24% |
19 |
38% |
|
|
>8hrs |
10 |
20% |
12 |
24% |
|
|
Amount of internet used |
|||||
|
1GB |
21 |
42% |
13 |
26% |
|
|
2GB |
23 |
64% |
22 |
44% |
|
|
Unlimited data |
06 |
12% |
15 |
30% |
|
|
Any Previous Knowledge |
|||||
|
Yes |
15 |
30% |
26 |
52% |
|
|
No |
35 |
70% |
24 |
48% |
|
Table 2: Findings related to level of addiction among adolescent of rural and urban area
|
Characteristic |
Rural |
Urban |
|
Borderline |
00% |
0% |
|
Mild |
17% |
2% |
|
Moderate |
20% |
12% |
|
Severe |
30% |
24% |
|
Very severe |
00% |
12% |
Table 3: Compare the level of mobile phone addiction among adolescents of rural and urban area.
|
Area |
Mean |
SD |
Z at 5% Table Value |
Calculated Value |
|
Rural |
143.28 |
38.46 |
1.96 |
7.94* |
|
Urban |
205.2 |
40.22 |
NS= Non Significant at P<0.05level
*= Significant at p <0.05 level
Section 3 showed that mean score of rural area is 143.28 and urban area is 205.2. The difference between mean of rural and urban area regarding mobile phone addiction was found statistically significant at P<0.05 level. After applying Z test, it was found calculated value i.e. 7.94 is more than the table value i.e. 1.96 at P<0.05. Hence research hypothesis H1 is accepted as there was significant difference between level of mobile phone addiction of rural and urban area.
Association of socio demographic variables with level of mobile phone addiction:
In rural area there was association of Gender, Religion, Mother’s Education, and Father’s Education with level of mobile phone addiction among adolescents of rural area.
In urban area amount of internet used daily was significant associated with level of mobile phone addiction
DISCUSSION:
Based on the objective of the study revealed that in rural area 17% had mild level, 20% had moderate level, 30% had severe and 0% had very severe level of mobile phone addiction. In urban area 2% had mild level, 12% had moderate level, 24% had severe level and 12% had very severe level of mobile phone addiction among adolescents.
CONCLUSION:
From the present study it is evident that adolescent from rural and urban area both have mobile phone addiction. It’s time to focus on the measures, activities, efforts through which we can reduce the level of mobile phone addiction. among adolescents.
Implication of the study:
Nursing Practices:
Nurse owes a great responsibility in educating the people regarding health hazards of using mobile phone. Nurse can used various technique like role play, Nukad Natak, Health education program in community setting that will help in reducing the level of mobile phone addiction.
Nursing Education:
The nurses play a key role in educating people in community, hospital settings. The investigator as a nurse felt that nurses should collaborate with educational institute, Gram Panchayat, Community representative so that level of mobile phone addiction among adolescents may reduce to some extent.
Nursing Research:
Nursing being the largest group n health care delivery system should take initiative to conduct further research studies on adolescent’s health alteration due to mobile phone addiction. The public and private should also encourage research in the field through materials and fund.
Nursing administration:
Nurses administrative should take interest in motivating the nursing personnel to improve the level of mobile phone addiction among adolescents through works shops, conference, seminar the nurse administrative should explore their potential and encourage innovative ideas.
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Received on 09.06.2022 Modified on 22.06.2022
Accepted on 02.07.2022 ©A&V Publications All right reserved
Int. J. of Advances in Nur. Management. 2022; 10(4):375-378.
DOI: 10.52711/2454-2652.2022.00082