{"title":"基于 Actigraph 数据,探索多维地理环境对日常睡眠和体育锻炼的影响。","authors":"Jingwen Rao , Jing Ma , Guanpeng Dong","doi":"10.1016/j.healthplace.2024.103370","DOIUrl":null,"url":null,"abstract":"<div><div>Understanding the interplay between people's daily sleep and physical activity and how geographic environment influences them are important for developing healthy cities. However, such research has been limited. This study aims to explore the bidirectional and nonlinear relationship between daily sleep and physical activity, and further investigate the comprehensive influences of multi-dimensional geographic environment on these health behaviors. Based on the objective data on sleep and physical activity over seven consecutive days using wrist-based accelerometers in Beijing, China, we developed a series of models to analyze the mutual influences between people's daily sleep and physical activity, and employed the generalized additive model (GAM) to examine their potential nonlinear relationships and how geographic environment – including meteorological conditions, built environment, and social environment – influences them. The results show that sleep and physical activity exhibit notable bidirectional relationship. Moderate-to-vigorous physical activity (MVPA) is observed to improve sleep quality, but it decreases sleep duration. In contrast, total sleep time (TST) exhibits an inverted U-shaped pattern with both MVPA and total step counts, with the optimal sleep duration at 5 h. Furthermore, meteorological factors, built environment characteristics, and social environment have significant linear or nonlinear effects on people's daily sleep and physical activity. The outcomes of this study offer valuable insights for enhancing residents' health and developing healthy cities.</div></div>","PeriodicalId":49302,"journal":{"name":"Health & Place","volume":"90 ","pages":"Article 103370"},"PeriodicalIF":3.8000,"publicationDate":"2024-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Exploring the effects of multi-dimensional geographic environment on daily sleep and physical activity based on the Actigraph data\",\"authors\":\"Jingwen Rao , Jing Ma , Guanpeng Dong\",\"doi\":\"10.1016/j.healthplace.2024.103370\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Understanding the interplay between people's daily sleep and physical activity and how geographic environment influences them are important for developing healthy cities. However, such research has been limited. This study aims to explore the bidirectional and nonlinear relationship between daily sleep and physical activity, and further investigate the comprehensive influences of multi-dimensional geographic environment on these health behaviors. Based on the objective data on sleep and physical activity over seven consecutive days using wrist-based accelerometers in Beijing, China, we developed a series of models to analyze the mutual influences between people's daily sleep and physical activity, and employed the generalized additive model (GAM) to examine their potential nonlinear relationships and how geographic environment – including meteorological conditions, built environment, and social environment – influences them. The results show that sleep and physical activity exhibit notable bidirectional relationship. Moderate-to-vigorous physical activity (MVPA) is observed to improve sleep quality, but it decreases sleep duration. In contrast, total sleep time (TST) exhibits an inverted U-shaped pattern with both MVPA and total step counts, with the optimal sleep duration at 5 h. Furthermore, meteorological factors, built environment characteristics, and social environment have significant linear or nonlinear effects on people's daily sleep and physical activity. The outcomes of this study offer valuable insights for enhancing residents' health and developing healthy cities.</div></div>\",\"PeriodicalId\":49302,\"journal\":{\"name\":\"Health & Place\",\"volume\":\"90 \",\"pages\":\"Article 103370\"},\"PeriodicalIF\":3.8000,\"publicationDate\":\"2024-10-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Health & Place\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1353829224001989\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Health & Place","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1353829224001989","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH","Score":null,"Total":0}
引用次数: 0
摘要
了解人们的日常睡眠和体育锻炼之间的相互作用以及地理环境对它们的影响,对于发展健康城市非常重要。然而,这方面的研究还很有限。本研究旨在探讨日常睡眠和体力活动之间的双向和非线性关系,并进一步研究多维地理环境对这些健康行为的综合影响。基于中国北京连续七天使用腕式加速度计获得的睡眠和体力活动的客观数据,我们建立了一系列模型来分析人们日常睡眠和体力活动之间的相互影响,并采用广义相加模型(GAM)来研究它们之间潜在的非线性关系以及地理环境(包括气象条件、建筑环境和社会环境)对它们的影响。结果表明,睡眠和体育锻炼之间存在明显的双向关系。据观察,中到剧烈运动(MVPA)可提高睡眠质量,但会缩短睡眠时间。与此相反,总睡眠时间(TST)与 MVPA 和总步数呈倒 U 型,最佳睡眠时间为 5 小时。此外,气象因素、建筑环境特征和社会环境对人们的日常睡眠和体力活动有显著的线性或非线性影响。这项研究的结果为提高居民健康水平和发展健康城市提供了宝贵的启示。
Exploring the effects of multi-dimensional geographic environment on daily sleep and physical activity based on the Actigraph data
Understanding the interplay between people's daily sleep and physical activity and how geographic environment influences them are important for developing healthy cities. However, such research has been limited. This study aims to explore the bidirectional and nonlinear relationship between daily sleep and physical activity, and further investigate the comprehensive influences of multi-dimensional geographic environment on these health behaviors. Based on the objective data on sleep and physical activity over seven consecutive days using wrist-based accelerometers in Beijing, China, we developed a series of models to analyze the mutual influences between people's daily sleep and physical activity, and employed the generalized additive model (GAM) to examine their potential nonlinear relationships and how geographic environment – including meteorological conditions, built environment, and social environment – influences them. The results show that sleep and physical activity exhibit notable bidirectional relationship. Moderate-to-vigorous physical activity (MVPA) is observed to improve sleep quality, but it decreases sleep duration. In contrast, total sleep time (TST) exhibits an inverted U-shaped pattern with both MVPA and total step counts, with the optimal sleep duration at 5 h. Furthermore, meteorological factors, built environment characteristics, and social environment have significant linear or nonlinear effects on people's daily sleep and physical activity. The outcomes of this study offer valuable insights for enhancing residents' health and developing healthy cities.