The urban physical environment and leisure-time physical activity in early midlife: a FinnTwin12 study

被引:0
作者
Wang, Zhiyang [1 ]
Aaltonen, Sari [1 ]
Teeuwen, Roos [2 ]
Milias, Vasileios [2 ]
Peuters, Carmen [3 ,4 ,5 ]
Raimbault, Bruno [3 ,4 ,5 ]
Palviainen, Teemu [1 ]
Lumpe, Erin [6 ]
Dick, Danielle [7 ]
Salvatore, Jessica E. [7 ]
Foraster, Maria [8 ]
Dadvand, Payam [3 ,4 ,5 ]
Julvez, Jordi [3 ,9 ]
Psyllidis, Achilleas [2 ]
van Kamp, Irene [10 ]
Kaprio, Jaakko [1 ]
机构
[1] Univ Helsinki, Inst Mol Med Finland, Helsinki Inst Life Sci, Helsinki, Finland
[2] Delft Univ Technol, Dept Sustainable Design Engn, Delft, Netherlands
[3] ISGlobal, Barcelona Biomed Res Pk PRBB, Barcelona, Spain
[4] Univ Pompeu Fabra UPF, Barcelona, Spain
[5] Spanish Consortium Res & Publ Hlth CIBERESP, Inst Salud Carlos 3, Madrid, Spain
[6] Rutgers State Univ, Dept Psychol, New Brunswick, NJ USA
[7] Rutgers State Univ, Dept Psychiat, Piscataway, NJ USA
[8] Univ Ramon Llull URL, Blanquerna Sch Hlth Sci, PHAGEX Res Grp, Barcelona, Spain
[9] Inst Invest Sanitaria Pere Virgili IISPV, Clin & Epidemiol Neurosci NeuroEpia, Reus, Spain
[10] Natl Inst Publ Hlth & Environm, Bilthoven, Netherlands
基金
芬兰科学院; 欧盟地平线“2020”;
关键词
Exercise; Machine learning; Urbanization; Behavior; SOCIAL COGNITIVE THEORY; BUILT ENVIRONMENT; HEALTH; TWIN; ASSOCIATIONS; EXERCISE; INACTIVITY; ADULTHOOD; CRITIQUE; SUBURBAN;
D O I
10.1016/j.healthplace.2025.103495
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Under the exposome framework, this study examined the relationship between the urban physical environment and leisure-time physical activity during early midlife based on 394 participants (mean age: 37, range 34-40) from the FinnTwin12 cohort, residing in five major Finnish cities in 2020. We curated 145 urban physical exposures based on residential addresses and measured three outcomes: total leisure-time physical activity (total LTPA) and two sub-domains: leisure-time physical activity without commuting activity (LTPA) and commuting activity. K-prototypes clustering identified three urban clusters: "original city center," "new city center," and "suburban," each with distinct environmental patterns. Regression models showed that participants in the "suburban" cluster had lower levels of total LTPA and LTPA compared to those in the "original city center" cluster, while we found null findings for commuting activity. Then, repeated regression models with a p-value threshold of 0.01 were used to initially select candidates. eXtreme Gradient Boosting models identified green-spaces and road characteristics as the top important factors influencing total LTPA, while pocket park and greenness were ranked as the top important factors influencing LTPA. The relationships were non-linear. There were thresholds for the count and size of pocket parks within 800 m walking distance and the modified soil adjusted vegetation index, determining whether they positively or negatively predict LTPA. Our findings suggested that the urban environment in Finnish cities was associated with leisure-time physical activity, which revealed new residential pattern and identified key exposures of road, pocket park, and greenness with nonlinear effect, that can guide future policies.
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页数:11
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共 76 条
[41]  
Lundberg S, 2017, Arxiv, DOI [arXiv:1705.07874, 10.48550/arXiv.1705.07874, DOI 10.48550/ARXIV.1705.07874]
[42]   From local explanations to global understanding with explainable AI for trees [J].
Lundberg, Scott M. ;
Erion, Gabriel ;
Chen, Hugh ;
DeGrave, Alex ;
Prutkin, Jordan M. ;
Nair, Bala ;
Katz, Ronit ;
Himmelfarb, Jonathan ;
Bansal, Nisha ;
Lee, Su-In .
NATURE MACHINE INTELLIGENCE, 2020, 2 (01) :56-67
[43]   Overweight and Obesity in Finnish Children by Parents' Socioeconomic Position-A Registry-Based Study [J].
Maki, Paivi ;
Levalahti, Esko ;
Lehtinen-Jacks, Susanna ;
Laatikainen, Tiina .
INTERNATIONAL JOURNAL OF PUBLIC HEALTH, 2023, 68
[44]   In search of causality: a systematic review of the relationship between the built environment and physical activity among adults [J].
McCormack, Gavin R. ;
Shiell, Alan .
INTERNATIONAL JOURNAL OF BEHAVIORAL NUTRITION AND PHYSICAL ACTIVITY, 2011, 8
[45]   Exploring associations between physical activity and perceived and objective measures of the built environment [J].
McGinn, Aileen P. ;
Evenson, Kelly R. ;
Herring, Amy H. ;
Huston, Sara L. ;
Rodriguez, Daniel A. .
JOURNAL OF URBAN HEALTH-BULLETIN OF THE NEW YORK ACADEMY OF MEDICINE, 2007, 84 (02) :162-184
[46]   Assessing the influence of point-of-interest features on the classification of place categories [J].
Milias, Vasileios ;
Psyllidis, Achilleas .
COMPUTERS ENVIRONMENT AND URBAN SYSTEMS, 2021, 86
[47]   Comparison of Objectively Measured Physical Activity Levels of Rural, Suburban, and Urban Youth [J].
Moore, Justin B. ;
Beets, Michael W. ;
Morris, Sara F. ;
Kolbe, Mary Bea .
AMERICAN JOURNAL OF PREVENTIVE MEDICINE, 2014, 46 (03) :289-292
[48]   Perceived physical environment and physical activity across one year among adolescent girls: self-efficacy as a possible mediator? [J].
Motl, RW ;
Dishman, RK ;
Ward, DS ;
Saunders, RP ;
Dowda, M ;
Felton, G ;
Pate, RR .
JOURNAL OF ADOLESCENT HEALTH, 2005, 37 (05) :403-408
[49]   Machine learning approaches to characterize the obesogenic urban exposome [J].
Ohanyan, Haykanush ;
Portengen, Lutzen ;
Huss, Anke ;
Traini, Eugenio ;
Beulens, Joline W. J. ;
Hoek, Gerard ;
Lakerveld, Jeroen ;
Vermeulen, Roel .
ENVIRONMENT INTERNATIONAL, 2022, 158
[50]   Research on the Relationship between the Environmental Characteristics of Pocket Parks and Young People's Perception of the Restorative Effects-A Case Study Based on Chongqing City, China [J].
Peng, Huiyun ;
Li, Xiangjin ;
Yang, Tingting ;
Tan, Shaohua .
SUSTAINABILITY, 2023, 15 (05)