Department of Sport and Health Promotion, 35005Sangmyung University, South Korea.
Percept Mot Skills. 2022 Aug;129(4):1270-1282. doi: 10.1177/00315125221099258. Epub 2022 May 6.
We examined associations between smartphone uses to assist physical activity (PA) and change constructs of the transtheoretical model (TTM) among Korean college students. Our participants were 242 college students who completed a cross-sectional survey of their smartphone use, PA, and TTM constructs. We applied Poisson regression models to test the associations between stages of change and smartphone PA use frequencies in four categories over the previous week: 1= watching PA instruction videos; 2 = tracking PA; 3 = searching and booking sites for PA; and 4 = finding and making appointments with PA partners. The associations between these smartphone uses and participants' self-efficacy, decisional balance, processes of change, and PA were tested via ordinary least squares regression models. Results were that participants in the precontemplation and maintenance stages were the least and most frequent users of the smartphones in all four categories, respectively. Category one usage was positively associated with participants' scores on pros (β = .22, = .004), cognitive processes of change (β = .30, < .001), and behavioral processes of change (β = .28, < .001). Category two usage was positively associated with PA (β = .06, = .048). While category three usage was not significantly associated with any TTM constructs except for stages of change, category four usage was positively associated with self-efficacy (β = .28, < .001), pros (β = .30, < .001), cognitive processes of change (β = .31, < .001), behavioral processes of change (β = .06, <. 001), and PA (β = .45, < .001). These findings suggest that (a) active college students are likely to take advantage of smartphone to assist their PA, and (b) smartphones can help motivate college students toward regular PA.
我们考察了韩国大学生使用智能手机辅助体育活动(PA)与跨理论模型(TTM)变化结构之间的关联。我们的参与者是 242 名大学生,他们完成了关于智能手机使用、PA 和 TTM 结构的横断面调查。我们应用泊松回归模型检验了四个类别中智能手机 PA 使用频率与变化阶段之间的关联:1=观看 PA 指导视频;2=跟踪 PA;3=搜索和预订 PA 场所;4=寻找并与 PA 伙伴预约。通过普通最小二乘回归模型检验了这些智能手机使用与参与者自我效能感、决策平衡、变化过程和 PA 之间的关联。结果表明,在所有四个类别中,前沉思和维持阶段的参与者是最少和最频繁使用智能手机的人群。第一类使用与参与者在促进因素(β=0.22,P=0.004)、认知变化过程(β=0.30,P<0.001)和行为变化过程(β=0.28,P<0.001)上的得分呈正相关。第二类使用与 PA 呈正相关(β=0.06,P=0.048)。第三类使用除了与变化阶段外,与任何 TTM 结构均无显著关联,而第四类使用与自我效能感(β=0.28,P<0.001)、促进因素(β=0.30,P<0.001)、认知变化过程(β=0.31,P<0.001)、行为变化过程(β=0.06,P<0.001)和 PA(β=0.45,P<0.001)呈正相关。这些发现表明:(a)积极的大学生可能会利用智能手机来辅助他们的 PA;(b)智能手机可以帮助激励大学生进行定期 PA。