Efficacy, characteristics, behavioural models and behaviour change strategies, of non-workplace interventions specifically targeting sedentary behaviour; a systematic review and meta-analysis of randomised control trials in healthy ambulatory adults.
Efficacy, characteristics, behavioural models and behaviour change strategies, of non-workplace interventions specifically targeting sedentary behaviour; a systematic review and meta-analysis of randomised control trials in healthy ambulatory adults.
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DOI：
10.1371/journal.pone.0256828
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发表时间：
2021
期刊：
影响因子：
3.7
通讯作者：
O'Donoghue G
中科院分区：
文献类型：
--
作者：
Curran F;Blake C;Cunningham C;Perrotta C;van der Ploeg H;Matthews J;O'Donoghue G
久坐行为（SB）研究呈指数级增长，但减少久坐行为的干预措施的有效性往往受到主要或共同针对其他行为和结果的干预措施的影响。因此，本研究的主要目的是系统地审查专门针对久坐行为减少的干预措施的有效性，作为唯一的主要结局，来自健康非卧床成人的随机对照试验。本研究还试图确定成功的干预措施的特点，行为改变技术（BCT）和基本理论，以及它们与干预效果的关系。我们遵循PRISMA报告指南进行了这项系统性综述。检索了6个电子数据库，并进行了灰色文献综述。仅纳入了2000年至2020年在成年人群中进行的随机或整群随机对照试验，其唯一主要结局为久坐行为的改变。开发数据代码簿，提取数据，并使用混合方法随机效应模型进行叙述性综合和荟萃分析。在确定的5589项研究中，7项研究符合纳入标准。6项研究报告了平均每日坐着时间的activPAL 3测量值，4项报告了平均每日站立时间，步行时间和久坐休息次数。加权平均差异的汇总分析显示，平均每日坐位时间减少-32.4分钟CI（-50.3，-14.4），平均每日站立时间增加31.75分钟CI（13.7，49.8），平均每天步行时间为9.5分钟CI（2.8，16.3），每天久坐休息的频率增加3.6（CI 1.6，5.6）。在三种最有效的干预措施中，只有两种最有效的干预措施是“行为反馈”和“目标设定行为”，而所有三种最有效的干预措施包括“指导如何执行行为”和“向环境中添加物体”，最有效的干预措施中也使用了最有效的干预措施。虽然受样本量小和随访时间短的限制，但本综述表明，专门设计用于改变久坐行为的干预措施，可在短期至中期内将每日坐着的总时间减少半小时，同时增加站立时间。有效的特点和行为改变战略确定为未来发展的高质量的干预措施，针对久坐行为的变化。PROSPERO 2020 CRD 42020172457可从https://www.crd.york.ac.uk/prospero/display_record.php?获得ID=CRD42020172457。
Sedentary behaviour (SB) research has grown exponentially but efficacy for interventions to reduce sedentary behaviour is often contaminated by interventions primarily or co-targeting other behaviours and outcomes. The primary aim of this research therefore, was to systematically review the efficacy of interventions specifically targeting sedentary behaviour reduction, as a sole primary outcome, from randomised control trials in healthy ambulatory adults. This research also sought to identify the successful interventions characteristics, behaviour change techniques (BCT’s) and underlying theories, and their relation to intervention effectiveness. We followed PRISMA reporting guidelines for this systematic review. Six electronic databases were searched and a grey literature review conducted. Only randomised or cluster randomised controlled trials, from 2000 to 2020, in adult populations with a sole primary outcome of change in sedentary behaviour were included. Data codebooks were developed, data were extracted, and a narrative synthesis and meta-analysis was conducted using mixed methods random effects models. Of 5589 studies identified, 7 studies met the inclusion criteria. Six studies reported activPAL3 measures of mean daily sitting time, and four reported mean daily standing time, stepping time and number of sedentary breaks. Pooled analysis of weighted mean differences revealed a reduction in mean daily sitting time of -32.4mins CI (-50.3, -14.4), an increase in mean daily standing time of 31.75mins CI (13.7, 49.8), and mean daily stepping time of 9.5mins CI (2.8, 16.3), and an increase in rate of sedentary breaks per day of 3.6 (CI 1.6, 5.6). BCTs used exclusively in two of the three most effective interventions are ‘feedback on behaviour’ and ‘goal setting behaviour’ whilst all three most effective interventions included ‘instruction on how to perform the behaviour’ and ‘adding objects to the environment’, BCTs which were also used in less effective interventions. Although limited by small sample sizes and short follow up periods, this review suggests that interventions specifically designed to change sedentary behaviour, reduce overall daily sitting time by half an hour, with an equivalent increase in standing time, in the short to medium term. Effective characteristics and behaviour change strategies are identified for future development of high quality interventions targeting change in sedentary behaviour. PROSPERO 2020 CRD42020172457 Available from: https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42020172457.
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影响因子：
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