School of Nursing, University of North Carolina at Chapel Hill.
Department of Exercise and Sport Science, University of North Carolina at Chapel Hill.
Health Psychol. 2020 Apr;39(4):269-280. doi: 10.1037/hea0000845. Epub 2020 Feb 3.
We conducted meta-analyses and meta-analytic structural equation modeling of longitudinal studies among cancer survivors to (a) quantify associations between psychosocial predictors and physical activity, (b) test how psychosocial predictors combine to influence physical activity, and (c) identify study, demographic, and clinical characteristics that moderate associations.
Eligible studies used a longitudinal, observational design, included a sample of cancer survivors, and measured both a psychosocial predictor at baseline and physical activity at a later time-point. Of 2,431 records located through computerized searches, 25 independent tests (N = 5,897) met the inclusion criteria for the review. Random effects meta-analyses and meta-analytic structural equation modeling were conducted.
Eight psychosocial predictors of physical activity were identified. Self-efficacy (r+ = 0.26) and intentions (r+ = 0.33) were the strongest predictors in bivariate analyses. The structural equation models included attitudes, injunctive norms, self-efficacy, intentions, and physical activity (k = 22, N = 4,385). The model with the best fit, χ2(2) = 0.11, p = .95, root mean square error of approximation = .00, comparative fit index = 1.00, Tucker-Lewis index = 1.00, indicated that all specified paths were significant. Intentions were the strongest predictor of physical activity (β = 0.27, p < .001), and attitudes and self-efficacy were strong predictors of intentions (both βs = 0.29, ps < .001). Few significant moderators were observed.
This review indicates that self-efficacy and intentions are direct predictors of physical activity in cancer survivors. Further, attitudes and norms predict physical activity through intentions. Findings inform intervention development to increase physical activity engagement among cancer survivors. (PsycINFO Database Record (c) 2020 APA, all rights reserved).
我们对癌症幸存者的纵向研究进行了荟萃分析和荟萃分析结构方程建模,以:(a) 量化心理社会预测因素与身体活动之间的关联;(b) 检验心理社会预测因素如何结合起来影响身体活动;(c) 确定研究、人口统计学和临床特征的调节作用。
符合条件的研究采用纵向观察设计,包括癌症幸存者样本,并在基线测量心理社会预测因素,在稍后的时间点测量身体活动。通过计算机检索共找到 2431 条记录,其中 25 项独立测试(N = 5897)符合综述的纳入标准。进行了随机效应荟萃分析和荟萃分析结构方程建模。
确定了 8 个身体活动的心理社会预测因素。在单变量分析中,自我效能感(r+ = 0.26)和意向(r+ = 0.33)是最强的预测因素。结构方程模型包括态度、规范规范、自我效能感、意向和身体活动(k = 22,N = 4385)。拟合度最好的模型,χ2(2)= 0.11,p =.95,均方根误差逼近值=.00,比较拟合指数= 1.00,塔克-刘易斯指数= 1.00,表明所有指定的路径均具有统计学意义。意向是身体活动的最强预测因素(β = 0.27,p <.001),态度和自我效能感是意向的强烈预测因素(两者的β值均为 0.29,p <.001)。观察到很少有显著的调节因素。
本综述表明,自我效能感和意向是癌症幸存者身体活动的直接预测因素。此外,态度和规范通过意向预测身体活动。研究结果为提高癌症幸存者的身体活动参与度提供了干预措施的开发依据。(APA,保留所有权利)(PsycINFO 数据库记录(c)2020 APA,保留所有权利)。