School of Medicine and Public Health, University of Newcastle, Callaghan, Australia.
Hunter New England Population Health, Wallsend, Australia.
J Med Internet Res. 2021 Feb 19;23(2):e23180. doi: 10.2196/23180.
The effectiveness of digital health interventions is commonly assumed to be related to the level of user engagement with the digital health intervention, including measures of both digital health intervention use and users' subjective experience. However, little is known about the relationships between the measures of digital health intervention engagement and physical activity or sedentary behavior.
This study aims to describe the direction and strength of the association between engagement with digital health interventions and physical activity or sedentary behavior in adults and explore whether the direction of association of digital health intervention engagement with physical activity or sedentary behavior varies with the type of engagement with the digital health intervention (ie, subjective experience, activities completed, time, and logins).
Four databases were searched from inception to December 2019. Grey literature and reference lists of key systematic reviews and journals were also searched. Studies were eligible for inclusion if they examined a quantitative association between a measure of engagement with a digital health intervention targeting physical activity and a measure of physical activity or sedentary behavior in adults (aged ≥18 years). Studies that purposely sampled or recruited individuals on the basis of pre-existing health-related conditions were excluded. In addition, studies were excluded if the individual engaging with the digital health intervention was not the target of the physical activity intervention, the study had a non-digital health intervention component, or the digital health interventions targeted multiple health behaviors. A random effects meta-analysis and direction of association vote counting (for studies not included in meta-analysis) were used to address objective 1. Objective 2 used vote counting on the direction of the association.
Overall, 10,653 unique citations were identified and 375 full texts were reviewed. Of these, 19 studies (26 associations) were included in the review, with no studies reporting a measure of sedentary behavior. A meta-analysis of 11 studies indicated a small statistically significant positive association between digital health engagement (based on all usage measures) and physical activity (0.08, 95% CI 0.01-0.14, SD 0.11). Heterogeneity was high, with 77% of the variation in the point estimates explained by the between-study heterogeneity. Vote counting indicated that the relationship between physical activity and digital health intervention engagement was consistently positive for three measures: subjective experience measures (2 of 3 associations), activities completed (5 of 8 associations), and logins (6 of 10 associations). However, the direction of associations between physical activity and time-based measures of usage (time spent using the intervention) were mixed (2 of 5 associations supported the hypothesis, 2 were inconclusive, and 1 rejected the hypothesis).
The findings indicate a weak but consistent positive association between engagement with a physical activity digital health intervention and physical activity outcomes. No studies have targeted sedentary behavior outcomes. The findings were consistent across most constructs of engagement; however, the associations were weak.
数字健康干预措施的有效性通常被认为与用户对数字健康干预措施的参与程度有关,包括数字健康干预措施的使用和用户的主观体验的衡量。然而,对于数字健康干预措施的参与度与身体活动或久坐行为之间的关系知之甚少。
本研究旨在描述成人数字健康干预措施参与度与身体活动或久坐行为之间的关联方向和强度,并探讨数字健康干预措施参与度与身体活动或久坐行为的关联方向是否因数字健康干预措施参与度的类型(即主观体验、完成的活动、时间和登录)而有所不同。
从建库起至 2019 年 12 月,对四个数据库进行了检索。还对关键系统评价和期刊的灰色文献和参考文献进行了检索。如果研究定量分析了针对身体活动的数字健康干预措施的参与度与成人身体活动或久坐行为的测量值之间的关系,则研究符合纳入标准(年龄≥18 岁)。专门根据预先存在的健康相关条件抽样或招募参与者的研究被排除在外。此外,如果参与数字健康干预措施的个体不是身体活动干预的目标人群、研究有非数字健康干预措施组成部分或数字健康干预措施针对多种健康行为,则研究也被排除在外。使用随机效应荟萃分析和关联投票计数(针对未纳入荟萃分析的研究)来解决目标 1。目标 2 使用关联投票计数来确定关联方向。
总共确定了 10653 个独特的引文,并且对 375 篇全文进行了审查。其中,19 项研究(26 项关联)被纳入综述,没有研究报告久坐行为的测量值。对 11 项研究进行的荟萃分析表明,数字健康参与度(基于所有使用措施)与身体活动之间存在统计学上显著的正相关(0.08,95%CI 0.01-0.14,SD 0.11)。异质性很高,研究之间的差异有 77%可以用异质性来解释。投票计数表明,在三个指标中,身体活动与数字健康干预措施参与度之间的关系始终是正相关的:主观体验指标(3 项关联中的 2 项)、完成的活动(8 项关联中的 5 项)和登录(10 项关联中的 6 项)。然而,基于时间的使用措施(使用干预措施的时间)与身体活动之间的关联方向是混合的(5 项关联中的 2 项支持假设,2 项不确定,1 项否定假设)。
研究结果表明,参与针对身体活动的数字健康干预措施与身体活动结果之间存在微弱但一致的正相关。没有研究针对久坐行为结果。研究结果在大多数参与度结构中都是一致的;然而,相关性很弱。