Chen Cheng, Finne Emily, Kopp Alexandra, Jekauc Darko
Institute of Sports and Sports Science, Karlsruhe Institute of Technology, Karlsruhe, Germany.
Department Prevention and Health Promotion, School of Public Health, Bielefeld, Germany.
Front Psychol. 2020 Nov 5;11:587757. doi: 10.3389/fpsyg.2020.587757. eCollection 2020.
Well-developed theories are necessary to guide the public in increasing physical activity (PA) and promoting physical health. The role of positive affective variables (PAVs) in exercise is gaining more attention, but none of the literature has provided a systematic review and quantitative analysis of its mediating role. Therefore, the purposes of this study are (1) to systematically review studies of PA interventions, that use PAVs as the mediating variables, in order to evaluate and provide narrative summaries of these studies; (2) to statistically synthesize evidence for the mechanism of the effects of PAVs on PA outcomes. To conduct an extensive search, a PRISMA-compliant protocol was completed, and five electronic databases had been searched by 1 April 2020. We used a two-stage structural equation modeling (TSSEM) analysis approach to test how interventions trigger the critical PA change process to influence outcomes. The search strategy generated 1,732 papers potentially relevant to this study; forty of these studies met the data extraction criteria for meta-analytic mediation analysis. The path coefficient from intervention to PAV = 0.26 (95% CI = 0.08 to 0.44), the path coefficient from PAV to PA = 0.21 (95% CI = 0.13 to 0.28), and the direct effect from intervention to PA is also significant ( = 0.19, 95% CI = 0.12 to 0.26). In addition, the indirect effect of intervention on PA via PAV was statistically significant (' = 0.05, 95% CI = 0.02 to 0.10). This reveals that PAVs partially mediate the relationship between interventions and PA. Our study is the first to systematically summarize the effects of experimental studies to increase PA through PAVs. It is highly recommended to make future interventions more innovative and to target the PAVs as mediators with higher fidelity.
完善的理论对于引导公众增加身体活动(PA)和促进身体健康是必要的。积极情感变量(PAVs)在运动中的作用越来越受到关注,但尚无文献对其中介作用进行系统综述和定量分析。因此,本研究的目的是:(1)系统综述以PAVs作为中介变量的PA干预研究,以便评估这些研究并提供叙述性总结;(2)对PAVs对PA结果影响机制的证据进行统计综合分析。为了进行广泛检索,完成了一项符合PRISMA标准的方案,并于2020年4月1日前检索了五个电子数据库。我们采用两阶段结构方程建模(TSSEM)分析方法来检验干预措施如何触发关键的PA变化过程以影响结果。检索策略共产生了1732篇可能与本研究相关的论文;其中40项研究符合荟萃分析中介分析的数据提取标准。从干预到PAV的路径系数 = 0.26(95%CI = 0.08至0.44),从PAV到PA的路径系数 = 0.21(95%CI = 0.13至0.28),并且从干预到PA的直接效应也显著( = 0.19,95%CI = 0.12至0.26)。此外,干预通过PAV对PA的间接效应具有统计学意义(' = 0.05,95%CI = 0.02至0.10)。这表明PAVs部分介导了干预与PA之间的关系。我们的研究首次系统总结了通过PAVs增加PA的实验研究的效果。强烈建议未来的干预措施更具创新性,并以更高的保真度将PAVs作为中介目标。