Wang, Ruoyu and Dong, Guoping and Cao, Mengqiu and Zhou, Yang and Dong, Guang-Hui (2024) Exploring "Equigenesis" in the Associations Between Green Space and Kidney Health Among Middle-Aged and Older Adults Using Street View Data. Innovation in Aging, 8 (1). igad130-. DOI https://doi.org/10.1093/geroni/igad130
Wang, Ruoyu and Dong, Guoping and Cao, Mengqiu and Zhou, Yang and Dong, Guang-Hui (2024) Exploring "Equigenesis" in the Associations Between Green Space and Kidney Health Among Middle-Aged and Older Adults Using Street View Data. Innovation in Aging, 8 (1). igad130-. DOI https://doi.org/10.1093/geroni/igad130
Wang, Ruoyu and Dong, Guoping and Cao, Mengqiu and Zhou, Yang and Dong, Guang-Hui (2024) Exploring "Equigenesis" in the Associations Between Green Space and Kidney Health Among Middle-Aged and Older Adults Using Street View Data. Innovation in Aging, 8 (1). igad130-. DOI https://doi.org/10.1093/geroni/igad130
Abstract
BACKGROUND AND OBJECTIVES: This study systematically explores the association between community green space and preventing kidney failure among middle-aged and older adults in China, using street view data. RESEARCH DESIGN AND METHODS: The 33 Chinese Community Health Study was used to conduct the analysis. We used street view data to assess street view green space (SVG) exposure and clearly distinguished the difference between grass (SVG-grass) and trees (SVG-tree). The normalized difference vegetation index (NDVI) was also used. Kidney failure was defined as a serum creatinine concentration of above 177 mol/L. We used multilevel logistic regression models (controlled for a series of covariates) to examine the associations between SVG and the odds of middle-aged and older adults having kidney failure. We also tested whether middle-aged and older adults from socioeconomically disadvantaged groups are likely to derive greater benefits from the effects of green space ("equigenesis"). RESULTS: The results showed that both SVG (OR = 0.353; 95% CI = 0.171-0.731) and SVG-trees (OR = 0.327; 95% CI = 0.146-0.736) were negatively associated with the likelihood of middle-aged and older adults experiencing kidney failure, but there was no significant evidence of any links between either SVG-grass (OR = 0.567; 95% CI = 0.300-1.076) or the NDVI (OR = 0.398; 95% CI = 0.237-1.058) and kidney failure. Furthermore, the moderation analysis indicated that income and educational attainment have a moderating effect on the association between green space and the improvement of kidney health, which suggests that green space has greater positive effects on the kidney health of disadvantaged groups. DISCUSSION AND IMPLICATIONS: To reduce inequalities in relation to kidney disease through urban planning, policymakers are advised to provide more visual green space-especially trees-within the community and to focus in particular on socioeconomically disadvantaged population groups.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Healthy aging; Inequalities; Kidney failure; Machine learning; Visible greenery |
| Divisions: | Faculty of Science and Health Faculty of Science and Health > Health and Social Care, School of |
| SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
| Depositing User: | Unnamed user with email elements@essex.ac.uk |
| Date Deposited: | 20 Apr 2026 13:05 |
| Last Modified: | 20 Apr 2026 13:05 |
| URI: | http://repository.essex.ac.uk/id/eprint/41901 |
Available files
Filename: igad130.pdf
Licence: Creative Commons: Attribution 4.0