开发手机应用鼓励步行:什么有效,对谁有效?

IF 2.2
Reza Abdullah , Hyewon Namgung , Varun Varghese , Makoto Chikaraishi , Akimasa Fujiwara
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引用次数: 0

摘要

本研究利用差分分析探讨了移动应用干预在促进不同人口群体行走方面的有效性。它研究了诸如金钱激励、健康数据和视觉反馈等策略如何影响年龄、性别和收入等人口因素的行为,揭示了对特定群体最有效的策略。接受所有类型干预的年轻参与者的步数显著增加,估计增加了182%,反映了他们对个性化参与和基于奖励的策略的接受程度。相比之下,低收入参与者的步数显著减少,减少了54%,突出了阻碍干预效果的社会经济障碍。这些发现强调了定制干预设计以满足不同人口群体的具体需求并确保公平结果的重要性。这项研究为决策者、公共卫生官员和从业者提供了宝贵的见解,旨在设计更有效和包容的战略,以促进体育活动和提高城市可持续性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Developing a mobile phone application to encourage walking: What works and for whom?
This study explores the effectiveness of mobile application interventions in promoting walking among diverse demographic groups using Difference-in-Differences (DiD) analysis. It examines how strategies like monetary incentives, health data, and visual feedback influence behaviours across demographic factors like age, gender, and income, revealing the most effective for specific groups. Young participants who received all types of interventions demonstrated a significant increase in step counts, with an estimated increase of 182 %, reflecting their receptiveness to personalised engagement and reward-based strategies. In contrast, low-income participants experienced a significant decrease in step counts, with a reduction of 54 %, highlighting the socio-economic barriers hindering intervention effectiveness. These findings underscore the importance of tailoring intervention designs to meet different demographic groups’ specific need and ensure equitable outcomes. This study offers valuable insights for policymakers, public health officials, and practitioners aiming to design more effective and inclusive strategies to promote physical activity and improve urban sustainability.
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