School of Human Movement Studies, University of Queensland, St. Lucia Campus, Brisbane, QLD 4072, Australia.
J Epidemiol Community Health. 2012 Aug;66(8):737-44. doi: 10.1136/jech-2011-200354. Epub 2012 Apr 6.
The effectiveness of exercise referral schemes (ERS) is influenced by uptake and adherence to the scheme. The identification of factors influencing low uptake and adherence could lead to the refinement of schemes to optimise investment.
To quantify the levels of ERS uptake and adherence and to identify factors predictive of uptake and adherence.
A systematic review and meta-analysis was undertaken. MEDLINE, EMBASE, PsycINFO, Cochrane Library, ISI WOS, SPORTDiscus and ongoing trial registries were searched (to October 2009) and included study references were checked. Included studies were required to report at least one of the following: (1) a numerical measure of ERS uptake or adherence and (2) an estimate of the statistical association between participant demographic or psychosocial factors (eg, level of motivation, self-efficacy) or programme factors and uptake or adherence to ERS.
Twenty studies met the inclusion criteria, six randomised controlled trials (RCTs) and 14 observational studies. The pooled level of uptake in ERS was 66% (95% CI 57% to 75%) across the observational studies and 81% (95% CI 68% to 94%) across the RCTs. The pooled level of ERS adherence was 49% (95% CI 40% to 59%) across the observational studies and 43% (95% CI 32% to 54%) across the RCTs. Few studies considered anything other than gender and age. Women were more likely to begin an ERS but were less likely to adhere to it than men. Older people were more likely to begin and adhere to an ERS.
Substantial heterogeneity was evident across the ERS studies. Without standardised definitions, the heterogeneity may have been reflective of differences in methods of defining uptake and adherence across studies.
To enhance our understanding of the variation in uptake and adherence across ERS and how these variations might affect physical activity outcomes, future trials need to use quantitative and qualitative methods.
运动推荐计划(ERS)的效果受到计划参与度和坚持度的影响。识别出影响低参与度和低坚持度的因素,可以对计划进行改进,以优化投资。
量化 ERS 的参与度和坚持度,并确定影响参与度和坚持度的因素。
系统回顾和荟萃分析。检索 MEDLINE、EMBASE、PsycINFO、Cochrane 图书馆、ISI WOS、SPORTDiscus 和正在进行的试验登记处(截至 2009 年 10 月),并检查纳入研究的参考文献。纳入的研究必须报告以下至少一项:(1)ERS 参与度或坚持度的数值测量;(2)参与者人口统计学或社会心理因素(如动机水平、自我效能)或计划因素与 ERS 参与度或坚持度之间的统计关联的估计。
20 项研究符合纳入标准,包括 6 项随机对照试验(RCT)和 14 项观察性研究。观察性研究中 ERS 的参与率为 66%(95%CI 57%至 75%),RCT 中为 81%(95%CI 68%至 94%)。观察性研究中 ERS 的坚持率为 49%(95%CI 40%至 59%),RCT 中为 43%(95%CI 32%至 54%)。很少有研究考虑到性别和年龄以外的因素。女性开始 ERS 的可能性更大,但坚持的可能性比男性小。老年人开始和坚持 ERS 的可能性更大。
ERS 研究之间存在明显的异质性。由于缺乏标准化定义,这种异质性可能反映了研究之间在定义参与度和坚持度方面的差异。
为了更好地了解 ERS 参与度和坚持度的变化以及这些变化如何影响身体活动的结果,未来的试验需要使用定量和定性方法。