Internet addiction: Prevalence and risk factors: A cross-sectional study among college students in Bengaluru, the Silicon Valley of India
Background: The Internet is a widely used tool known to foster addictive behavior, and Internet addiction threatens to develop into a major public health issue in the near future in a rapidly developing country like India. Objective: This cross-sectional study intends to estimate prevalence, underst...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Wolters Kluwer Medknow Publications
2015-01-01
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| Series: | Indian Journal of Public Health |
| Subjects: | |
| Online Access: | http://www.ijph.in/article.asp?issn=0019-557X;year=2015;volume=59;issue=2;spage=115;epage=121;aulast=Krishnamurthy |
| _version_ | 1811287112080687104 |
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| author | Sharmitha Krishnamurthy Satish Kumar Chetlapalli |
| author_facet | Sharmitha Krishnamurthy Satish Kumar Chetlapalli |
| author_sort | Sharmitha Krishnamurthy |
| collection | DOAJ |
| description | Background: The Internet is a widely used tool known to foster addictive behavior, and Internet addiction threatens to develop into a major public health issue in the near future in a rapidly developing country like India. Objective: This cross-sectional study intends to estimate prevalence, understand patterns, and evaluate risk factors for Internet addiction among college students in the city of Bengaluru, India. Materials and Methods: Out of a total of 554 data samples from eight colleges selected through multistage cluster sampling, 515 samples were analyzed. Young′s 20-item Internet Addiction Test (IAT), an inventory including demographic factors and patterns of internet use, was administered. Results: This study of college students aged 16-26 years (mean ± SD 19.2 ± 2.4 years), with marginally high female representation (56%), identified 34% [95% confidence interval (CI) 29.91-38.09%] and 8% (95%, CI 5.97-10.63%) as students with mild and moderate Internet addiction respectively. Binary logistic regression found Internet addiction to be associated with male gender [adjusted odds ratio (AOR) 1.69, 95% CI, 1.081- 2.65, P = 0.021], continuous availability online (AOR 1.724, 95% CI, 1.018-2.923, P = 0.042), using the Internet less for coursework/assignments (AOR 0.415, 95% CI, 0.263-0.655, P < 0.001), making new friendships online (AOR 1.721, 95% CI, 1.785-2.849, P = 0.034), getting into relationships online (AOR 2.283, 95% CI, 1.424-3.663, P = 0.001). Conclusion: The results highlight the vulnerability of college students to Internet addiction. The findings provide explanations on the addictive behavior of the internet users, support the inclusion of "Internet Addiction" in the DSM-VI, and open up new paths for further research. |
| first_indexed | 2024-04-13T03:13:08Z |
| format | Article |
| id | doaj.art-55314dfa27b947208c7e18923bb0ff38 |
| institution | Directory Open Access Journal |
| issn | 0019-557X |
| language | English |
| last_indexed | 2024-04-13T03:13:08Z |
| publishDate | 2015-01-01 |
| publisher | Wolters Kluwer Medknow Publications |
| record_format | Article |
| series | Indian Journal of Public Health |
| spelling | doaj.art-55314dfa27b947208c7e18923bb0ff382022-12-22T03:05:00ZengWolters Kluwer Medknow PublicationsIndian Journal of Public Health0019-557X2015-01-0159211512110.4103/0019-557X.157531Internet addiction: Prevalence and risk factors: A cross-sectional study among college students in Bengaluru, the Silicon Valley of IndiaSharmitha KrishnamurthySatish Kumar ChetlapalliBackground: The Internet is a widely used tool known to foster addictive behavior, and Internet addiction threatens to develop into a major public health issue in the near future in a rapidly developing country like India. Objective: This cross-sectional study intends to estimate prevalence, understand patterns, and evaluate risk factors for Internet addiction among college students in the city of Bengaluru, India. Materials and Methods: Out of a total of 554 data samples from eight colleges selected through multistage cluster sampling, 515 samples were analyzed. Young′s 20-item Internet Addiction Test (IAT), an inventory including demographic factors and patterns of internet use, was administered. Results: This study of college students aged 16-26 years (mean ± SD 19.2 ± 2.4 years), with marginally high female representation (56%), identified 34% [95% confidence interval (CI) 29.91-38.09%] and 8% (95%, CI 5.97-10.63%) as students with mild and moderate Internet addiction respectively. Binary logistic regression found Internet addiction to be associated with male gender [adjusted odds ratio (AOR) 1.69, 95% CI, 1.081- 2.65, P = 0.021], continuous availability online (AOR 1.724, 95% CI, 1.018-2.923, P = 0.042), using the Internet less for coursework/assignments (AOR 0.415, 95% CI, 0.263-0.655, P < 0.001), making new friendships online (AOR 1.721, 95% CI, 1.785-2.849, P = 0.034), getting into relationships online (AOR 2.283, 95% CI, 1.424-3.663, P = 0.001). Conclusion: The results highlight the vulnerability of college students to Internet addiction. The findings provide explanations on the addictive behavior of the internet users, support the inclusion of "Internet Addiction" in the DSM-VI, and open up new paths for further research.http://www.ijph.in/article.asp?issn=0019-557X;year=2015;volume=59;issue=2;spage=115;epage=121;aulast=KrishnamurthyCollege studentsInternet addictionInternet use patternsprevalencerisk factorstraining center |
| spellingShingle | Sharmitha Krishnamurthy Satish Kumar Chetlapalli Internet addiction: Prevalence and risk factors: A cross-sectional study among college students in Bengaluru, the Silicon Valley of India Indian Journal of Public Health College students Internet addiction Internet use patterns prevalence risk factors training center |
| title | Internet addiction: Prevalence and risk factors: A cross-sectional study among college students in Bengaluru, the Silicon Valley of India |
| title_full | Internet addiction: Prevalence and risk factors: A cross-sectional study among college students in Bengaluru, the Silicon Valley of India |
| title_fullStr | Internet addiction: Prevalence and risk factors: A cross-sectional study among college students in Bengaluru, the Silicon Valley of India |
| title_full_unstemmed | Internet addiction: Prevalence and risk factors: A cross-sectional study among college students in Bengaluru, the Silicon Valley of India |
| title_short | Internet addiction: Prevalence and risk factors: A cross-sectional study among college students in Bengaluru, the Silicon Valley of India |
| title_sort | internet addiction prevalence and risk factors a cross sectional study among college students in bengaluru the silicon valley of india |
| topic | College students Internet addiction Internet use patterns prevalence risk factors training center |
| url | http://www.ijph.in/article.asp?issn=0019-557X;year=2015;volume=59;issue=2;spage=115;epage=121;aulast=Krishnamurthy |
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