Prosper Ayenmo Kanu, Maurice-Joel Ugbe, Peter Bassey Enyievi, Emmanuel Onen Ebri, Blessing Ifere Omini, Uchenna Frank Imo
{"title":"Prevalence and associated factors of problematic internet use among in-school adolescents in Calabar municipality, Nigeria.","authors":"Prosper Ayenmo Kanu, Maurice-Joel Ugbe, Peter Bassey Enyievi, Emmanuel Onen Ebri, Blessing Ifere Omini, Uchenna Frank Imo","doi":"10.1007/s44192-025-00262-x","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Given the advent of the internet and its growing resources as well as the availability of smart mobile phones among the younger generation, Problematic Internet Use (PIU) has become a globally identified contemporary issue of public health concern. This study aimed to determine the prevalence, self-reported effects, and associated factors of problematic internet use among in-school adolescents in Calabar Municipality, Nigeria.</p><p><strong>Methods: </strong>A descriptive cross-sectional study design and a multistage sampling technique were used to select 422 respondents systematically. The 18-item Problematic and Risky Internet Use Screening Scale (PRIUSS) was adopted as instrument. Data analysis was conducted using SPSS version 23. Descriptive statistics and inferential analysis (chi-square tests and multivariate logistic regression models) were applied to measure associations and effects.\"</p><p><strong>Results: </strong>The findings in this study revealed a 62.6% prevalence of PIU. Chi-square tests showed significant associations between PIU and female gender, caregiver's low education, living with siblings, parental unawareness, loneliness, idleness, isolation, low self-esteem, poor physical relationships (p ≤ 0.027). Multivariate analysis found lower odds of PIU among adolescents aged 15-19 (aOR = 0.236, p < 0.001), females (aOR = 0.557, p = 0.009), and those with primary-educated caregivers (aOR = 0.273, p = 0.008).</p><p><strong>Conclusion: </strong>A multi-disciplinary approach is essential to regulate adolescent internet use in Nigeria, requiring coordinated efforts across individual, community, institutional, and policy levels, alongside promoting digital literacy and responsible online behaviour.</p>","PeriodicalId":72827,"journal":{"name":"Discover mental health","volume":"5 1","pages":"117"},"PeriodicalIF":2.7000,"publicationDate":"2025-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12334384/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Discover mental health","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/s44192-025-00262-x","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Background: Given the advent of the internet and its growing resources as well as the availability of smart mobile phones among the younger generation, Problematic Internet Use (PIU) has become a globally identified contemporary issue of public health concern. This study aimed to determine the prevalence, self-reported effects, and associated factors of problematic internet use among in-school adolescents in Calabar Municipality, Nigeria.
Methods: A descriptive cross-sectional study design and a multistage sampling technique were used to select 422 respondents systematically. The 18-item Problematic and Risky Internet Use Screening Scale (PRIUSS) was adopted as instrument. Data analysis was conducted using SPSS version 23. Descriptive statistics and inferential analysis (chi-square tests and multivariate logistic regression models) were applied to measure associations and effects."
Results: The findings in this study revealed a 62.6% prevalence of PIU. Chi-square tests showed significant associations between PIU and female gender, caregiver's low education, living with siblings, parental unawareness, loneliness, idleness, isolation, low self-esteem, poor physical relationships (p ≤ 0.027). Multivariate analysis found lower odds of PIU among adolescents aged 15-19 (aOR = 0.236, p < 0.001), females (aOR = 0.557, p = 0.009), and those with primary-educated caregivers (aOR = 0.273, p = 0.008).
Conclusion: A multi-disciplinary approach is essential to regulate adolescent internet use in Nigeria, requiring coordinated efforts across individual, community, institutional, and policy levels, alongside promoting digital literacy and responsible online behaviour.