M. Moreno, Aubrey D Gower, D. Pham, Qianqian Zhao, J. Eickhoff
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We used latent class analysis (LCA) to identify distinct profile groups across these three areas. The 1155 participants had a mean age of 13.6 years (SD = 1.1), of whom 49.7% were female, 73.7% were White and 61.1% had parent education with a college degree. We found that most participants owned personal media devices, including smartphones (81.4%), computers (64.6%) and video game systems (58.9%). The LCA identified three distinct profile groups: (1) Active Autonomous Media Users, (2) Young Low-Tech Sleepers and (3) Risky Regulated Media Users. Findings support that media use patterns vary across adolescents, suggesting different education and prevention approaches may be needed. Targeting educational messages to different media profiles may be an effective strategy to optimize productive media use and health.","PeriodicalId":48335,"journal":{"name":"Information Communication & Society","volume":"26 1","pages":"746 - 763"},"PeriodicalIF":4.2000,"publicationDate":"2022-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Adolescent media use, parent involvement and health outcomes: a latent class analysis approach\",\"authors\":\"M. Moreno, Aubrey D Gower, D. Pham, Qianqian Zhao, J. Eickhoff\",\"doi\":\"10.1080/1369118X.2021.1983002\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"ABSTRACT Media use among early adolescents is nearly ubiquitous and has been associated with important health outcomes such as physical activity, sleep and problematic internet use (PIU). Parent involvement has been recommended as a prevention strategy; it remains unclear how it is associated with media use and health outcomes. The purpose of this study was to develop profiles of media use, parent involvement and health outcomes among adolescents. Early adolescents were recruited to a cross-sectional online survey using the Qualtrics platform and panels. Media use measures included ownership and bedroom use of devices, social media platforms and video games. Parent media involvement assessed media rules and role-modeling. Health measures included physical activity, sleep and PIU. We used latent class analysis (LCA) to identify distinct profile groups across these three areas. The 1155 participants had a mean age of 13.6 years (SD = 1.1), of whom 49.7% were female, 73.7% were White and 61.1% had parent education with a college degree. We found that most participants owned personal media devices, including smartphones (81.4%), computers (64.6%) and video game systems (58.9%). The LCA identified three distinct profile groups: (1) Active Autonomous Media Users, (2) Young Low-Tech Sleepers and (3) Risky Regulated Media Users. Findings support that media use patterns vary across adolescents, suggesting different education and prevention approaches may be needed. 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Adolescent media use, parent involvement and health outcomes: a latent class analysis approach
ABSTRACT Media use among early adolescents is nearly ubiquitous and has been associated with important health outcomes such as physical activity, sleep and problematic internet use (PIU). Parent involvement has been recommended as a prevention strategy; it remains unclear how it is associated with media use and health outcomes. The purpose of this study was to develop profiles of media use, parent involvement and health outcomes among adolescents. Early adolescents were recruited to a cross-sectional online survey using the Qualtrics platform and panels. Media use measures included ownership and bedroom use of devices, social media platforms and video games. Parent media involvement assessed media rules and role-modeling. Health measures included physical activity, sleep and PIU. We used latent class analysis (LCA) to identify distinct profile groups across these three areas. The 1155 participants had a mean age of 13.6 years (SD = 1.1), of whom 49.7% were female, 73.7% were White and 61.1% had parent education with a college degree. We found that most participants owned personal media devices, including smartphones (81.4%), computers (64.6%) and video game systems (58.9%). The LCA identified three distinct profile groups: (1) Active Autonomous Media Users, (2) Young Low-Tech Sleepers and (3) Risky Regulated Media Users. Findings support that media use patterns vary across adolescents, suggesting different education and prevention approaches may be needed. Targeting educational messages to different media profiles may be an effective strategy to optimize productive media use and health.
期刊介绍:
Drawing together the most current work upon the social, economic, and cultural impact of the emerging properties of the new information and communications technologies, this journal positions itself at the centre of contemporary debates about the information age. Information, Communication & Society (iCS) transcends cultural and geographical boundaries as it explores a diverse range of issues relating to the development and application of information and communications technologies (ICTs), asking such questions as: -What are the new and evolving forms of social software? What direction will these forms take? -ICTs facilitating globalization and how might this affect conceptions of local identity, ethnic differences, and regional sub-cultures? -Are ICTs leading to an age of electronic surveillance and social control? What are the implications for policing criminal activity, citizen privacy and public expression? -How are ICTs affecting daily life and social structures such as the family, work and organization, commerce and business, education, health care, and leisure activities? -To what extent do the virtual worlds constructed using ICTs impact on the construction of objects, spaces, and entities in the material world? iCS analyses such questions from a global, interdisciplinary perspective in contributions of the very highest quality from scholars and practitioners in the social sciences, gender and cultural studies, communication and media studies, as well as in the information and computer sciences.