Problematic Internet Use among university students of Bangladesh: The predictive role of age, gender, and loneliness.
Internet is the most important evolving technology of modern days and the most frequently used tool, which provides significant facilities and advantages to people's life, such as access to information, communication, academic research, and entertainment. It is highlighted in the literature that exc...
| Publicado en: | Journal of Human Behavior in the Social Environment Vol. 30; no. 8; pp. 1082 - 1094 |
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| Autores principales: | , , |
| Formato: | Artículo |
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Taylor & Francis Ltd
Nov-Dec2020
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=146971528&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 146971528 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 10911359 3XW jtl: Journal of Human Behavior in the Social Environment issn: 10911359 maglogo: N pubinfo: dt: Nov-Dec2020 vid: 30 iid: 8 pid: 377 pub: Taylor & Francis Ltd artinfo: ui: 146971528 10.1080/10911359.2020.1784346 ppf: 1082 ppct: 12 formats: fmt: – @attributes: type: T – @attributes: type: P size: 327KB tig: atl: Problematic Internet Use among university students of Bangladesh: The predictive role of age, gender, and loneliness. aug: au: Akhter, Md. Sayeed Islam, Mohammad Habibul Momen, Md. Nurul affil: Department of Social Work, University of Rajshahi, Rajshahi, Bangladesh Department of Information Science and Library Management, University of Rajshahi, Rajshahi, Bangladesh Department of Public Administration, University of Rajshahi, Rajshahi, Bangladesh su: Age distribution College students Statistical correlation Interviewing Loneliness Regression analysis Sex distribution T-test (Statistics) Internet addiction Quantitative research Cross-sectional method Data analysis software Descriptive statistics Bangladesh sug: subj: Bangladesh Age distribution College students Statistical correlation Interviewing Loneliness Regression analysis Sex distribution T-test (Statistics) Internet addiction Quantitative research Cross-sectional method Data analysis software Descriptive statistics keyword: Age gender loneliness problematic internet use ab: Internet is the most important evolving technology of modern days and the most frequently used tool, which provides significant facilities and advantages to people's life, such as access to information, communication, academic research, and entertainment. It is highlighted in the literature that excessive use, lack of control over the behavior related to internet use, unhealthy and maladaptive use of the Internet is regarded as Problematic Internet Use (PIU). Therefore, the study examined the role of age, gender, and loneliness as predictors of PIU among the Bangladeshi university students. Data were collected through the structured questionnaire in face-to-face interview from 432 university students, 183 females and 249 males, employing a cross-sectional study design. Pearson correlation analysis, t-test and hierarchical regression analysis were applied to analyze the data. The results indicated that male university students use significantly higher problematic internet than the female students. Hierarchical regression analysis exhibited that age negatively and loneliness positively predict PIU. Among them loneliness was the most significant predictor of PIU. Therefore, the findings exposed that young university students used more problematic internet compared to the senior university students of the study and the higher levels of loneliness was associated with the higher levels of PIU of the university students. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: Copyright of Journal of Human Behavior in the Social Environment is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. item: Journal of Human Behavior in the Social Environment holder: Taylor & Francis Ltd dt: @attributes: year: 2020 holdings: @attributes: islocal: N |
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