向步行和骑自行车模式转变的干预措施的有效性:系统回顾与荟萃分析

Lauren Pearson, Matthew J Page, Robyn Gerhard, Nyssa Clarke, Meghan Winters, Adrian Bauman, Laolu Arogundade, Ben Beck
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引用次数: 0

摘要

目的评估旨在增加步行和骑自行车出行的干预措施的效果。设计:系统回顾与荟萃分析研究选择:从 2023 年 5 月 22 日开始对 MEDLINE、PsycINFO 和 Web of Science 等电子数据库进行检索。符合条件的研究设计包括随机和非随机干预研究,这些研究设计具有特定的特点,能够对因果关系进行估计。数据提取与综合:两名审稿人独立提取数据,并使用乔安娜-布里格斯质量评估工具进行质量评估。研究按照 "行为改变轮 "中描述的干预类型进行分类。在可能的情况下,使用随机效应荟萃分析来综合干预类型的结果。主要结果测量:主要结果是向积极模式(步行和骑自行车)的转变。其他相关结果包括骑自行车和步行的持续时间、频率和次数,积极交通的持续时间和频率,以及中度到剧烈运动的持续时间(MVPA)。研究结果共纳入了 106 项评估干预措施对步行、骑自行车或主动交通总体影响的研究。研究结果表明,物理环境结构调整干预措施,如受保护的自行车道和交通疏导基础设施,能有效延长骑自行车的时间(OR = 1.70,95% CI 1.20- 2.22;2 项研究)。其他类型的干预措施,包括为个人量身定制的行为方案和提供电动自行车,也能有效增加骑车频率(OR = 1.33,95% CI 1.23-1.43;1 项研究)和持续时间(OR = 1.13,95% CI 1.02-1.22,1 项研究)。强化教育计划干预对步行持续时间有积极影响(OR = 1.96,95% CI 1.68 - 2.21;1 项研究)。个人定制的行为计划(OR = 1.23,95% CI 1.08 - 1.40;3 项研究)和社区步行计划(OR = 1.15,95% CI 1.14 - 1.17;1 项研究)也增加了步行时间延长的几率。如果能在研究设计方面更加严格,以限制可能存在偏差的低质量证据,那么这些研究将从中受益。结论:本综述为投资高质量的主动交通基础设施提供了证据,如受保护的自行车道,以提高自行车运动和主动交通参与的整体水平。它还提供了投资其他非基础设施干预措施的证据。需要开展进一步研究,以了解哪些干预类型的组合对模式转换最为有效。积极交通研究需要包括更有力的试验和评估,并采用一致的结果衡量标准,以提高证据质量,并为哪些干预措施(或干预措施组合)最有效提供证据。研究注册:PROPERCO CRD42023445982
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Effectiveness of interventions for modal shift to walking and bike riding: a systematic review with meta-analysis
Objective: To assess the efficacy of interventions aimed at increasing walking and cycling. Design: Systematic review with meta–analysis Study selection: The electronic databases MEDLINE, PsycINFO and Web of Science were searched from inception on 22nd May 2023. Eligible study designs included randomised and non–randomised studies of interventions with specific study design features that enabled estimation of causality. No restrictions on type of outcome measurement, publication date or population age were applied. Data extraction and synthesis: Two reviewers independently extracted data and conducted quality assessment with Joanna Briggs Quality Assessment tools. Studies were categorised by intervention types described within the Behaviour Change Wheel. Where possible, random–effects meta–analyses were used to synthesise results within intervention types. Main outcome measures: The main outcome of interest was modal shift to active modes (walking and cycling). Other outcomes of interest included cycling and walking duration, frequency and counts, active transport duration and frequency, and moderate to vigorous physical activity duration (MVPA). Results: 106 studies that assessed the impact of an intervention on walking, cycling or active transport overall were included. Findings demonstrate that physical environmental restructure interventions, such as protected bike lanes and traffic calming infrastructure, were effective in increasing cycling duration (OR = 1.70, 95% CI 1.20– 2.22; 2 studies). Other intervention types, including individually tailored behavioural programmes, and provision of e-bikes were also effective for increasing cycling frequency (OR = 1.33, 95% CI 1.23– 1.43; 1 study) and duration (OR = 1.13, 95% CI 1.02–1.22, 1 study). An intensive education programme intervention demonstrated a positive impact on walking duration (OR = 1.96, 95% CI 1.68 – 2.21; 1 study). An individually tailored behavioural programme (OR = 1.23, 95% CI 1.08 – 1.40; 3 studies) and community walking programme (OR = 1.15, 95% CI 1.14 – 1.17; 1 study) also increased the odds of increased walking duration. This body of research would benefit from more rigour in study design to limit lower quality evidence with the potential for bias. Conclusions: This review provides evidence for investment in high–quality active transportation infrastructure, such as protected bike lanes, to improve cycling and active transport participation overall. It also provides evidence for investment in other non–infrastructure interventions. Further research to understand which combinations of intervention types are most effective for modal shift are needed. Active transport research needs to include more robust trials and evaluations with consistent outcome measures to improve quality of evidence and provide evidence on which interventions (or combinations of interventions) are most effective. Study registration: PROSPERO CRD42023445982
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