A Descriptive Study to Assess the Level of Internet Addiction among Adolescents: A Case Study of High Schools in Mangalore

Kayastha, Babita; Chawal, Rashmi

doi:10.4172/2375-4494.1000378

Cited by 11 publications

(5 citation statements)

References 19 publications

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“…However, a few children exposed to the internet are more vulnerable to PUI because of their developmental characteristics. 34 , 35 The quality of family relationships is the primary factor influencing adolescent adjustment. 36 Parents are the most influential agents of a child’s development, and parenting practices have a significant role in promoting or preventing internet-related problems in children.…”

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confidence: 99%

Family Factors Associated with Problematic Use of the Internet in Children: A Scoping Review

Nannatt

Tariang

Gowda³

et al. 2022

Indian Journal of Psychological Medicine

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Background: Problematic use of the internet (PUI) is a growing concern, particularly in the young population. Family factors influence internet use among children in negative ways. This study examined the existing literature on familial or parental factors related to PUI in children. Methods: A scoping review was conducted in EBSCOhost, PubMed, ScienceDirect, JSTOR, Biomed Central, VHL Regional Portal, Cochrane Library, Emerald Insight, and Oxford Academic Journal databases. Studies reporting data on family factors associated with PUI in children, published in English in the 10 years to July 2020 were included. The following data were extracted from each paper by two independent reviewers: methodology and demographic, familial, psychiatric, and behavioral correlates of PUI in children. Results: Sixty-nine studies fulfilled the eligibility criteria. Three themes emerged: parenting, parental mental health, and intrafamilial demographic correlates of PUI in children. Parenting styles, parental mediation, and parent–child attachment were the major parenting correlates. Conclusion: Literature on significant familial and parental factors associated with PUI in children is scarce. More research is required to identify the interactions of familial and parental factors with PUI in children, to develop informed management strategies to address this issue.

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confidence: 99%

Family Factors Associated with Problematic Use of the Internet in Children: A Scoping Review

Nannatt

Tariang

Gowda³

et al. 2022

Indian Journal of Psychological Medicine

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“…there was no gender difference, but other sociodemographic findings revealed closely with our study of which no statistical significance like the purpose of internet use, father education, mother education, time of internet use, duration of internet use, and amount spent on internet use. [ 20 ] The present study showed that school children use the internet for education purposes were 91.5%, for social media like Facebook, WhatsApp, and Instagram at 42.5%, for entertainment like YouTube, Netflix, and Amazon Prime about 42.5%, and for gaming purposes about 21% of the children were browsing the internet. There is a little closer association for social media use like chatting (55.2%), online friendship (22.7%), and online gaming (35.4%) in a study conducted at Vadodara.…”

Section: Discussionmentioning

confidence: 67%

Prediction of internet addiction among high school students in a rural Southern Karnataka, India—A cross-sectional study

Kumar,

Ruhela

2024

Journal of Education and Health Promotion

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BACKGROUND: According to the World Health Organization, there is an explosion in the use of electronic devices, the internet, and gaming platforms. In many countries, it is a significant public health concern, prompting calls to identify adequate public policy. We aimed to investigate the prevalence of internet addiction (IA) among high school students and to assess the relationship between the internet addiction level of high school students and their demographic features with internet use. MATERIALS AND METHODS: A cross-sectional study was conducted among 424 high school children studying in eighth standard–tenth standard. Among 121 public and private high schools listed by the BEO (Block Education Officer) Office in Kolar Taluk four high schools were selected by lottery method from July 2021 to August 2021. The Internet Addiction Test (IAT) by Young was used to assess the intensity of internet usage. RESULTS: The mean IAT score of study participants was 29.6. The mean age of the study population was 14.4 ± 0.84 years. The odds of internet addiction among female students were 4.5 times higher than among male students. The majority (91.5%) of the students had used the internet for educational purpose and the other common reasons for internet usage is social media (43%), entertainment (43%), and gaming purpose (21%). CONCLUSION: The prevalence of IA among high school students is 14.6% with the moderate-risk population was 12.5% and the high-risk population was 2.1%. Students using the internet for both academic and non-academic purposes were more internet addicted. The real challenge is to have control over the usage of social sites—the amount of time being spent and the type of activities adolescents are doing online.

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“…Sample size was calculated based on a previous study in Mangalore city schools, where 30% of adolescents had an internet addiction. 11 With 5% absolute precision and 95% confidence limits, sample size was estimated to be 323. As the total number of students in the sampling frame was nearly the same, universal sampling was employed.…”

Section: Methodsmentioning

confidence: 99%

Is Screen Addiction a Problem Among Rural School-Going Adolescents? A Cross-Sectional Study in South Karnataka

Johnson

Sridhar

Joseph

2022

Journal of Indian Association for Child and Adolescent Mental H

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Background: Media, including mobile phones, computers, and social media, is a dominant force in the lives of adolescents, and has now penetrated the rural areas. Screen addiction (SA) is a pathological compulsive use of screen-based devices. Objectives: To estimate SA and its associated factors among school-going adolescents residing in a rural area in South Karnataka. Methods: A cross-sectional study was conducted among adolescents (10-19 years) in 4 schools of Solur Hobli, Ramanagara district, using a structured questionnaire including physical activity, family, and academic stressors. SA was assessed using Tao’s Diagnostic Criteria for Internet Addiction. Depression was screened using Physical Health Questionnaire-9. Chi-square test and logistic regression were done for factors associated with SA. Results: Of the 335 adolescents, 20% felt preoccupied with screens, 8% felt restless, moody, and irritable when not using them, 26% used screen devices as a way of escaping problems or relieving irritable mood, 12% had depression, and 3.9% had SA. SA was significantly higher among depressed subjects (adjusted odds ratio [AOR] = 5.18 [1.48-18.13], P = .010), males (AOR = 12.54 [1.46-109.9], P = .021), adolescents who felt that their parents fought frequently (AOR = 4.21 (1.17-15.09), P = 0.027), and adolescents who did not participate in sports (AOR = 3.82 (confidence interval: 1.04-14.06], P = 0.044). Conclusion: While proportion of rural students with SA is still low, we need to prevent this from developing into a public health issue by recognizing SA and depression among students and develop targeted interventions to manage the same, including increasing awareness among teachers and students about SA and its link with depression.

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A Descriptive Study to Assess the Level of Internet Addiction among Adolescents: A Case Study of High Schools in Mangalore

Cited by 11 publications

References 19 publications

Family Factors Associated with Problematic Use of the Internet in Children: A Scoping Review

Family Factors Associated with Problematic Use of the Internet in Children: A Scoping Review

Prediction of internet addiction among high school students in a rural Southern Karnataka, India—A cross-sectional study

Is Screen Addiction a Problem Among Rural School-Going Adolescents? A Cross-Sectional Study in South Karnataka

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