UNASSIGNED: A cross-sectional survey dataset of 19 005 Japanese-speaking adults (mean age=53.50 years, SD=17.40; 9706 women) was analysed. The data encompassed demographic and anthropometric variables; self-reported PA levels; perceived social support and environments (eg, awareness of urban facilities for PA); psychological traits and health-behaviour characteristics (eg, personality, motivation, self-efficacy, decisional balance, process of change strategies); and technology use (eg, mobile health apps).
UNASSIGNED: Network analyses were performed to select meaningful associations (partial correlations) among variables, which identified nine variables directly positively associated with PA: job/employment status, self-efficacy, perceived social support, intrinsic motivation, stage of change, counter conditioning, self-reevaluation, environment and technology use. Indirect associations (two-step neighbourhood) were identified for 40 (out of 44) variables, implying that most of the known PA-correlates are associated with PA-at least indirectly.
UNASSIGNED: These identified associations echo the importance of the multilevel perspective in understanding how people maintain (in)active lifestyles. Interventions for PA could have mixed-level targets, including intraindividual characteristics, social support and physical and digital environments.
■19005名讲日语的成年人的横截面调查数据集(平均年龄=53.50岁,SD=17.40;9706名妇女)进行了分析。数据包括人口统计学和人体测量变量;自我报告的PA水平;感知的社会支持和环境(例如,对城市设施的认识);心理特征和健康行为特征(例如,个性,动机,自我效能感,决策平衡,改变战略的过程);和技术使用(例如,移动健康应用程序)。
■进行网络分析以选择变量之间有意义的关联(部分相关),确定了与PA直接正相关的九个变量:工作/就业状况,自我效能感,感知到的社会支持,内在动机,变化的阶段,计数器调节,自我重新评估,环境和技术使用。确定了40个(44个)变量的间接关联(两步邻域),这意味着大多数已知的PA相关因素至少间接地与PA相关。
■这些确定的关联反映了多层次视角在理解人们如何保持积极生活方式方面的重要性。对巴勒斯坦权力机构的干预可能有混合水平的目标,包括个体特征,社会支持以及物理和数字环境。