Department of Sport, Physical Education and Health, Faculty of Social Sciences, Hong Kong Baptist University, Hong Kong, China.
School of Physical Education, Shenzhen University, Shenzhen 518060, China.
Int J Environ Res Public Health. 2023 Jan 14;20(2):1560. doi: 10.3390/ijerph20021560.
An increasing number of studies are blending face-to-face interventions and electronic health (eHealth) interventions to jointly promote physical activity (PA) and diet among people. However, a comprehensive summary of these studies is lacking. This study aimed to synthesize the characteristics of blended interventions and meta-analyze the effectiveness of blended interventions in promoting PA, diet, and weight-related outcomes among adults. Following the PRISMA guidelines, PubMed, SPORTDiscus, PsycINFO, Embase, and Web of Science were systematically searched to identify eligible articles according to a series of inclusion criteria. The search was limited to English language literature and publication dates between January 2002 and July 2022. Effect sizes were calculated as standardized mean difference (SMD) for three intervention outcomes (physical activity, healthy diet, and weight-related). Random effect models were used to calculate the effect sizes. A sensitivity analysis and publication bias tests were conducted. Of the 1561 identified studies, 17 were eligible for the systematic review. Studies varied in participants, intervention characteristics, and outcome measures. A total of 14 studies were included in the meta-analyses. There was evidence of no significant publication bias. The meta-analyses indicated that the blended intervention could lead to a significant increase in walking steps (p < 0.001), total PA level (p = 0.01), and diet quality (p = 0.044), a significant decrease in energy intake (p = 0.004), weight (p < 0.001), BMI (p < 0.001), and waist circumferences (p = 0.008), but had no influence on more moderate-to-vigorous physical activity (MVPA) or fruit and vegetable intake among adults, compared with a control group. The study findings showed that blended interventions achieve preliminary success in promoting PA, diet, and weight-related outcomes among adults. Future studies could improve the blended intervention design to achieve better intervention effectiveness.
越来越多的研究将面对面干预和电子健康(eHealth)干预相结合,共同促进人们的身体活动(PA)和饮食。然而,缺乏对这些研究的综合总结。本研究旨在综合混合干预的特点,并对混合干预在促进成年人 PA、饮食和体重相关结果方面的有效性进行荟萃分析。本研究遵循 PRISMA 指南,系统地检索了 PubMed、SPORTDiscus、PsycINFO、Embase 和 Web of Science,根据一系列纳入标准确定了合格的文章。检索仅限于英语文献和 2002 年 1 月至 2022 年 7 月的出版日期。根据三个干预结果(身体活动、健康饮食和体重相关)计算效应大小作为标准化均数差(SMD)。使用随机效应模型计算效应大小。进行了敏感性分析和发表偏倚检验。在 1561 项确定的研究中,有 17 项符合系统评价的标准。研究在参与者、干预特征和结果测量方面存在差异。共有 14 项研究纳入荟萃分析。没有明显的发表偏倚证据。荟萃分析表明,混合干预可以显著增加步行步数(p < 0.001)、总 PA 水平(p = 0.01)和饮食质量(p = 0.044),显著减少能量摄入(p = 0.004)、体重(p < 0.001)、BMI(p < 0.001)和腰围(p = 0.008),但与对照组相比,对中等到剧烈的身体活动(MVPA)或水果和蔬菜摄入没有影响。研究结果表明,混合干预在促进成年人的 PA、饮食和体重相关结果方面取得了初步成功。未来的研究可以改进混合干预设计,以达到更好的干预效果。