{"title":"探索城市绿地的质量及其与健康的关系:利用街景技术对肥胖症进行流行病学研究","authors":"","doi":"10.1016/j.puhe.2024.09.015","DOIUrl":null,"url":null,"abstract":"<div><h3>Objectives</h3><div>Evidence suggests that access to urban green spaces (UGS) may encourage physical exercise and impact nutritional status and health. Nevertheless, the quality of UGS is an understudied area. Novel digital tools allow the analysis of urban environments. This study aims to explore the quality of UGS and its association with obesity in Córdoba, Argentina, using Google Street View (GSV) images.</div></div><div><h3>Study design</h3><div>Population-based cross-sectional study.</div></div><div><h3>Methods</h3><div>Lifestyle and sociodemographic data were collected in Córdoba, Argentina (n = 1322 adults) during 2020–2022. Anthropometric measurements were obtained. Buffers of 500m were established around dwellings to identify the presence of large-area UGS (≥1ha). The quality of 226 UGS was evaluated across specific dimensions using a multi-dimensional assessment tool adapted for remote monitoring through GSV. Two-level logistic regression models for obesity outcome (yes/no) were fitted using a random intercept to account for spatial variability. Odds ratios (OR) and their 95 % confidence intervals (95 % CI) were estimated as measures of association.</div></div><div><h3>Results</h3><div>Obesity was present in 25.9 % of participants. The UGS quality dimensions that showed an inverse association with obesity were safety (OR = 0.33; 95 % CI 0.32–0.82), potential usage (OR = 0.42; 95 % CI 0.21–0.81), surroundings (OR = 0.54; 95 % CI 0.31–0.93), access (OR = 0.55; 95 % CI 0.31–0.97), aesthetics (OR = 0.55; 95 % CI 0.34–0.87) and amenities (OR = 0.62; 95 % CI 0.42–0.91). Proximity to UGS was not significantly associated with obesity.</div></div><div><h3>Conclusions</h3><div>Rather than their proximity, the quality of the UGS might play a key role as a determinant of obesity. In urban areas, digital tools such as GSV are useful to explore these topics.</div></div>","PeriodicalId":49651,"journal":{"name":"Public Health","volume":null,"pages":null},"PeriodicalIF":3.9000,"publicationDate":"2024-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Exploring the quality of urban green spaces and their association with health: An epidemiological study on obesity using Street View technology\",\"authors\":\"\",\"doi\":\"10.1016/j.puhe.2024.09.015\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Objectives</h3><div>Evidence suggests that access to urban green spaces (UGS) may encourage physical exercise and impact nutritional status and health. Nevertheless, the quality of UGS is an understudied area. Novel digital tools allow the analysis of urban environments. This study aims to explore the quality of UGS and its association with obesity in Córdoba, Argentina, using Google Street View (GSV) images.</div></div><div><h3>Study design</h3><div>Population-based cross-sectional study.</div></div><div><h3>Methods</h3><div>Lifestyle and sociodemographic data were collected in Córdoba, Argentina (n = 1322 adults) during 2020–2022. Anthropometric measurements were obtained. Buffers of 500m were established around dwellings to identify the presence of large-area UGS (≥1ha). The quality of 226 UGS was evaluated across specific dimensions using a multi-dimensional assessment tool adapted for remote monitoring through GSV. Two-level logistic regression models for obesity outcome (yes/no) were fitted using a random intercept to account for spatial variability. Odds ratios (OR) and their 95 % confidence intervals (95 % CI) were estimated as measures of association.</div></div><div><h3>Results</h3><div>Obesity was present in 25.9 % of participants. The UGS quality dimensions that showed an inverse association with obesity were safety (OR = 0.33; 95 % CI 0.32–0.82), potential usage (OR = 0.42; 95 % CI 0.21–0.81), surroundings (OR = 0.54; 95 % CI 0.31–0.93), access (OR = 0.55; 95 % CI 0.31–0.97), aesthetics (OR = 0.55; 95 % CI 0.34–0.87) and amenities (OR = 0.62; 95 % CI 0.42–0.91). Proximity to UGS was not significantly associated with obesity.</div></div><div><h3>Conclusions</h3><div>Rather than their proximity, the quality of the UGS might play a key role as a determinant of obesity. In urban areas, digital tools such as GSV are useful to explore these topics.</div></div>\",\"PeriodicalId\":49651,\"journal\":{\"name\":\"Public Health\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":3.9000,\"publicationDate\":\"2024-09-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Public Health\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0033350624003974\",\"RegionNum\":3,\"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":"Public Health","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0033350624003974","RegionNum":3,"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
目标有证据表明,使用城市绿地(UGS)可以促进体育锻炼,影响营养状况和健康。然而,城市绿地的质量是一个研究不足的领域。新的数字工具可以对城市环境进行分析。本研究旨在利用谷歌街景(GSV)图像,探讨阿根廷科尔多瓦的 UGS 质量及其与肥胖的关系。此外,还进行了人体测量。在住宅周围建立了 500 米的缓冲区,以确定是否存在大面积的 UGS(≥ 1 公顷)。使用一种适用于通过 GSV 进行远程监测的多维评估工具,从特定维度对 226 个 UGS 的质量进行评估。使用随机截距对肥胖结果(是/否)的两级逻辑回归模型进行了拟合,以考虑空间变异性。结果25.9%的参与者患有肥胖症。显示与肥胖呈反向关系的 UGS 质量维度是安全性(OR = 0.33;95 % CI 0.32-0.82)、潜在使用率(OR = 0.42;95 % CI 0.21-0.81)、周围环境(OR = 0.33;95 % CI 0.32-0.82)。81)、周围环境(OR = 0.54;95 % CI 0.31-0.93)、交通(OR = 0.55;95 % CI 0.31-0.97)、美观(OR = 0.55;95 % CI 0.34-0.87)和便利设施(OR = 0.62;95 % CI 0.42-0.91)。结论在肥胖症的决定因素中,UGS的质量可能比距离远近更重要。在城市地区,GSV 等数字工具有助于探讨这些问题。
Exploring the quality of urban green spaces and their association with health: An epidemiological study on obesity using Street View technology
Objectives
Evidence suggests that access to urban green spaces (UGS) may encourage physical exercise and impact nutritional status and health. Nevertheless, the quality of UGS is an understudied area. Novel digital tools allow the analysis of urban environments. This study aims to explore the quality of UGS and its association with obesity in Córdoba, Argentina, using Google Street View (GSV) images.
Study design
Population-based cross-sectional study.
Methods
Lifestyle and sociodemographic data were collected in Córdoba, Argentina (n = 1322 adults) during 2020–2022. Anthropometric measurements were obtained. Buffers of 500m were established around dwellings to identify the presence of large-area UGS (≥1ha). The quality of 226 UGS was evaluated across specific dimensions using a multi-dimensional assessment tool adapted for remote monitoring through GSV. Two-level logistic regression models for obesity outcome (yes/no) were fitted using a random intercept to account for spatial variability. Odds ratios (OR) and their 95 % confidence intervals (95 % CI) were estimated as measures of association.
Results
Obesity was present in 25.9 % of participants. The UGS quality dimensions that showed an inverse association with obesity were safety (OR = 0.33; 95 % CI 0.32–0.82), potential usage (OR = 0.42; 95 % CI 0.21–0.81), surroundings (OR = 0.54; 95 % CI 0.31–0.93), access (OR = 0.55; 95 % CI 0.31–0.97), aesthetics (OR = 0.55; 95 % CI 0.34–0.87) and amenities (OR = 0.62; 95 % CI 0.42–0.91). Proximity to UGS was not significantly associated with obesity.
Conclusions
Rather than their proximity, the quality of the UGS might play a key role as a determinant of obesity. In urban areas, digital tools such as GSV are useful to explore these topics.
期刊介绍:
Public Health is an international, multidisciplinary peer-reviewed journal. It publishes original papers, reviews and short reports on all aspects of the science, philosophy, and practice of public health.