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Healing Green: How Urban Greenness Offsets Genetic Susceptibility to Type 2 Diabetes

Individuals carrying high genetic risk for type 2 diabetes faced an apparently predetermined metabolic fate; epidemiological big data reveals that living in neighborhoods with high residential greenness significantly blunts genetic diabetes risk.

Author
Yonghua Yu et al.
Published
2026
Journal
Life Metabolism
Last updated
September 2026
Healing Green: How Urban Greenness Offsets Genetic Susceptibility to Type 2 Diabetes

Type 2 diabetes is an escalating global pandemic driven by a combination of high-calorie diets, sedentary lifestyles, and hundreds of inherited metabolic risk genes.

Public health initiatives assumed that genetic predisposition to insulin resistance is unalterable, focusing narrowly on individual clinical medication while overlooking the profound health impacts of the built physical environment.

Analyzing over three hundred thousand participants in a prospective cohort study, this research measures satellite-derived residential vegetation indices (greenness) alongside individual polygenic diabetes risk. The results show that individuals living in green, tree-rich urban neighborhoods exhibit significantly lower diabetes incidence, with greenness attenuating over twenty-five percent of excess genetic risk.

These findings provide urban planners and health policymakers with decisive evidence that investing in urban parks, street canopies, and green infrastructure is a potent clinical countermeasure against metabolic disease.

Reference

Yu, Y., Fan, J., Cao, Q., Li, D., Lin, H., Ye, Z., Zheng, R., Xu, Y., Xu, M., Li, M., Zhou, L., Wang, S., Wang, T., Zhao, Z., Zheng, J., Ning, G., Wang, W., Hu, R., Bi, Y., & Lu, J. (2026). Joint effects of residential greenness and genetic susceptibility on type 2 diabetes: a prospective cohort study using satellite-derived Normalized Difference Vegetation Index. Life Metabolism, 5(5).

Title

Joint effects of residential greenness and genetic susceptibility on type 2 diabetes: a prospective cohort study using satellite-derived Normalized Difference Vegetation Index

Abstract

Abstract Residential greenness has been linked to a reduced risk of type 2 diabetes (T2D), yet whether genetic susceptibility modifies this association remains unclear. Evidence on gene-environment interaction is limited, mainly cross-sectional, and largely from European-ancestry populations. Prospective data from Chinese populations examining the association between residential greenness and incident T2D, as well as glycemic traits, are scarce. In this study, we included 7861 middle-aged and older Chinese adults (aged ≥ 40 years), and assessed residential greenness using the Normalized Difference Vegetation Index (NDVI) derived from Moderate-Resolution Imaging Spectroradiometer (MODIS) satellite imagery, linking it to T2D incidence over a median follow-up of 3.8 years. Genetic susceptibility was assessed in 5389 participants with DNA data using a T2D-specific weighted genetic risk score based on 89 genome-wide significant single-nucleotide polymorphisms identified in East Asian populations, weighted by published effect estimates. Our results show that higher residential greenness was associated with a 44% reduction in T2D risk (hazard ratio [HR] = 0.56, 95% confidence interval [CI]: 0.48–0.66), as well as improved insulin sensitivity and β-cell function. Notably, genetic susceptibility significantly modified the association between residential greenness and T2D on both multiplicative (P for interaction = 0.019) and additive scales (relative excess risk due to interaction [RERI] = 0.19), with higher greenness conferring greater relative and absolute risk reductions among individuals at medium and high genetic risk. These findings underscore a protective role of residential greenness against T2D, with stronger effects in those at higher genetic risk, supporting environmental interventions to mitigate genetic predisposition in the prevention of T2D.

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