How do neighborhood environments impact adolescent health: a comprehensive study from subjective and objective perspectives using machine learning method
Existing studies have established a linear relationship between urban environments and adolescent health, but the combined impacts of subjective and objective environments on multi-dimensional health status (including physical and mental health) have not been fully explored. Furthermore, while some...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2025-01-01
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| Series: | Frontiers in Public Health |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fpubh.2024.1507711/full |
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| author | Jie Sheng Zhenhai Xiang Pengfei Ban |
| author_facet | Jie Sheng Zhenhai Xiang Pengfei Ban |
| author_sort | Jie Sheng |
| collection | DOAJ |
| description | Existing studies have established a linear relationship between urban environments and adolescent health, but the combined impacts of subjective and objective environments on multi-dimensional health status (including physical and mental health) have not been fully explored. Furthermore, while some studies have examined the non-linear relationship between urban environments and adult health, research specifically focusing on adolescents is sparse. Using Kunming, China, as a case study, we employ Random Forest model to examine the non-linear relationship between subjective/objective neighborhood environments and adolescent physical/mental health. The results indicate that the objective environment plays a more significant role in influencing physical and mental health in adolescents. There are generally non-linear correlations and threshold effects between neighborhood environment variables and adolescents’ health status. Specifically, the effects of distance to subway station, ratio of traffic safety facilities, and greening view index on adolescent physical and mental health differ. Additionally, subjective environments characterized by community management, community image, and community capital tend to positively influence adolescents’ health status. This study provides valuable insights for the planning of healthy communities, environmental interventions, and health promotion in specific dimensions among adolescents. |
| format | Article |
| id | doaj-art-88af711fc55a4401877d349e2bff5eb4 |
| institution | Kabale University |
| issn | 2296-2565 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Public Health |
| spelling | doaj-art-88af711fc55a4401877d349e2bff5eb42025-01-03T06:47:03ZengFrontiers Media S.A.Frontiers in Public Health2296-25652025-01-011210.3389/fpubh.2024.15077111507711How do neighborhood environments impact adolescent health: a comprehensive study from subjective and objective perspectives using machine learning methodJie ShengZhenhai XiangPengfei BanExisting studies have established a linear relationship between urban environments and adolescent health, but the combined impacts of subjective and objective environments on multi-dimensional health status (including physical and mental health) have not been fully explored. Furthermore, while some studies have examined the non-linear relationship between urban environments and adult health, research specifically focusing on adolescents is sparse. Using Kunming, China, as a case study, we employ Random Forest model to examine the non-linear relationship between subjective/objective neighborhood environments and adolescent physical/mental health. The results indicate that the objective environment plays a more significant role in influencing physical and mental health in adolescents. There are generally non-linear correlations and threshold effects between neighborhood environment variables and adolescents’ health status. Specifically, the effects of distance to subway station, ratio of traffic safety facilities, and greening view index on adolescent physical and mental health differ. Additionally, subjective environments characterized by community management, community image, and community capital tend to positively influence adolescents’ health status. This study provides valuable insights for the planning of healthy communities, environmental interventions, and health promotion in specific dimensions among adolescents.https://www.frontiersin.org/articles/10.3389/fpubh.2024.1507711/fullneighborhood environmentrandom forestadolescentphysical healthmental healthnon-linear relationship |
| spellingShingle | Jie Sheng Zhenhai Xiang Pengfei Ban How do neighborhood environments impact adolescent health: a comprehensive study from subjective and objective perspectives using machine learning method Frontiers in Public Health neighborhood environment random forest adolescent physical health mental health non-linear relationship |
| title | How do neighborhood environments impact adolescent health: a comprehensive study from subjective and objective perspectives using machine learning method |
| title_full | How do neighborhood environments impact adolescent health: a comprehensive study from subjective and objective perspectives using machine learning method |
| title_fullStr | How do neighborhood environments impact adolescent health: a comprehensive study from subjective and objective perspectives using machine learning method |
| title_full_unstemmed | How do neighborhood environments impact adolescent health: a comprehensive study from subjective and objective perspectives using machine learning method |
| title_short | How do neighborhood environments impact adolescent health: a comprehensive study from subjective and objective perspectives using machine learning method |
| title_sort | how do neighborhood environments impact adolescent health a comprehensive study from subjective and objective perspectives using machine learning method |
| topic | neighborhood environment random forest adolescent physical health mental health non-linear relationship |
| url | https://www.frontiersin.org/articles/10.3389/fpubh.2024.1507711/full |
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