干预参与是否对基于网络的计算机定制体育锻炼干预中的体育锻炼变化起中介作用?

IF 3.2 Q1 HEALTH CARE SCIENCES & SERVICES
C. Vandelanotte, Camille E. Short, Ronald C. Plotnikoff, Stephanie Schoeppe, Stephanie J. Alley, Q. To, A. Rebar, Mitch J. Duncan
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引用次数: 0

摘要

干预参与度与行为改变之间的关系可能因所研究的具体参与度指标而异。为了应对这种情况,综合参与度衡量标准可以让人们更深入地了解参与度与行为改变之间的关系,但很少有研究采用这种多维参与度衡量标准。本研究对 RCT 数据进行了二次分析,旨在研究综合参与度评分如何调节基于网络的计算机定制体育锻炼干预措施的效果。干预参与者在为期 12 周的干预期内接受了 8 次基于网络的个性化体育锻炼建议,并能够完成行动计划。在基线、3 个月和 9 个月时,使用 Actigraph 加速度计对体育锻炼的变化进行评估。在干预期间,使用网站跟踪软件和数据库指标对干预参与度(即包括频率、强度、持续时间和类型在内的综合得分)进行持续评估。在 3 个月时,中介分析显示干预组的参与度得分明显高于对照组[a-path exp(b) = 6.462, 95% CI = 5.121-7.804, p < 0.001]。此外,干预平台参与度的提高与中强度体育活动时间的增加有关[ab-系数 exp(b) = 1.008, 95% CI = 1.004-1.014, P < 0.001];但是,这种影响的程度很小。研究结果表明,综合干预参与度得分对身体活动变化的积极影响较小,其他因素(如行为改变技巧)可能是行为改变更重要的驱动因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Does intervention engagement mediate physical activity change in a web-based computer-tailored physical activity intervention?—Secondary outcomes from a randomised controlled trial
The relationship between intervention engagement and behaviour change may vary depending on the specific engagement metric being examined. To counter this composite engagement measures may provide a deeper understanding of the relationship between engagement and behaviour change, though few studies have applied such multidimensional engagement metrics. The aim of this secondary analysis of RCT data was to examine how a composite engagement score mediates the effect of a web-based computer-tailored physical activity intervention.501 inactive Australian adults were randomised to a no-treatment control or intervention group. Intervention participants received 8 sessions of web-based personalised physical activity advice over a 12-week intervention period and the ability to complete action plans. Change in physical activity was assessed using Actigraph accelerometers at baseline, 3-months and 9-months. Engagement with the intervention (i.e., a composite score including frequency, intensity, duration and type) was continuously assessed during the intervention period using website tracking software and database metrics. Generalised structural equation models were used to examine how a composite engagement score mediated intervention effects at 3 months and 9 months.At 3 months, mediation analysis revealed that the intervention group had significantly higher engagement scores than the control group [a-path exp(b) = 6.462, 95% CI = 5.121–7.804, p < 0.001]. Further, increased engagement with the intervention platform was associated with an increased time spent in moderate-to-vigorous physical activity [ab-coefficient exp(b) = 1.008, 95% CI = 1.004–1.014, P < 0.001]; however, the magnitude of this effect was small. There were no significant mediation effects at the 9-month time point.The findings suggest that a composite intervention engagement score has a small positive influence on physical activity changes and that other factors (e.g., behaviour change techniques) are likely to be more important drivers of behaviour change.
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来源期刊
CiteScore
4.20
自引率
0.00%
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审稿时长
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