Sam Liu, Rebecca Coulter, Wuyou Sui, Kayla Nuss, Ryan E Rhodes
{"title":"Determinants of recreational screen time behavior following the COVID-19 pandemic among Canadian adults.","authors":"Sam Liu, Rebecca Coulter, Wuyou Sui, Kayla Nuss, Ryan E Rhodes","doi":"10.1139/apnm-2022-0379","DOIUrl":null,"url":null,"abstract":"<p><p>The objectives of our study were to examine recreational screen time behavior before and 2 years following the COVID-19 pandemic lockdown, and explore whether components of the capability-opportunity-motivation-behavior (COM-B) model would predict changes in this recreational screen time behavior profile over the 2-year period. This cross-sectional, retrospective study was conducted in March 2022. Canadian adults (<i>n</i> = 977) completed an online survey that collected demographic information, current screen time behavior, screen time behavior prior to the pandemic, and beliefs about capability, opportunities, and motivation for limiting screen time based on the COM-B model. We found that post-pandemic recreational screen time (3.91 ± 2.85 h/day) was significantly higher than pre-pandemic levels (3.47 ± 2.50 h/day, <i>p</i> < 0.01). Three recreational screen time behavior profiles were identified based on the Canadian 24-Hour Movement Guidelines: (1) always met screen time guidelines (≤3 h/day) (47.8%; <i>n</i> = 454); (2) increased screen time (10.1%; <i>n</i> = 96); and (3) never met screen time guidelines (42%; <i>n</i> = 399). The overall discriminant function was found to be significant among the groups (Wilks' <i>λ</i> = 0.90; canonical <i>r</i> = 0.31, <i>χ</i><sup>2</sup> = (14) = 95.81, <i>p</i> < 0.001). The group that always met screen time guidelines had the highest levels of automatic motivation, reflective motivation, social opportunity, and psychological capabilities to limit screen time compared to other screen time profile groups. In conclusion, recreational screen time remains elevated post-pandemic. Addressing motivation (automatic and reflective), psychological capabilities, and social opportunities may be critical for future interventions aiming to limit recreational screen time.</p>","PeriodicalId":2,"journal":{"name":"ACS Applied Bio Materials","volume":null,"pages":null},"PeriodicalIF":4.6000,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Applied Bio Materials","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1139/apnm-2022-0379","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2023/4/10 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"MATERIALS SCIENCE, BIOMATERIALS","Score":null,"Total":0}
引用次数: 1
Abstract
The objectives of our study were to examine recreational screen time behavior before and 2 years following the COVID-19 pandemic lockdown, and explore whether components of the capability-opportunity-motivation-behavior (COM-B) model would predict changes in this recreational screen time behavior profile over the 2-year period. This cross-sectional, retrospective study was conducted in March 2022. Canadian adults (n = 977) completed an online survey that collected demographic information, current screen time behavior, screen time behavior prior to the pandemic, and beliefs about capability, opportunities, and motivation for limiting screen time based on the COM-B model. We found that post-pandemic recreational screen time (3.91 ± 2.85 h/day) was significantly higher than pre-pandemic levels (3.47 ± 2.50 h/day, p < 0.01). Three recreational screen time behavior profiles were identified based on the Canadian 24-Hour Movement Guidelines: (1) always met screen time guidelines (≤3 h/day) (47.8%; n = 454); (2) increased screen time (10.1%; n = 96); and (3) never met screen time guidelines (42%; n = 399). The overall discriminant function was found to be significant among the groups (Wilks' λ = 0.90; canonical r = 0.31, χ2 = (14) = 95.81, p < 0.001). The group that always met screen time guidelines had the highest levels of automatic motivation, reflective motivation, social opportunity, and psychological capabilities to limit screen time compared to other screen time profile groups. In conclusion, recreational screen time remains elevated post-pandemic. Addressing motivation (automatic and reflective), psychological capabilities, and social opportunities may be critical for future interventions aiming to limit recreational screen time.