Dyslipidemia is a major risk factor for cardiovascular disease. Several studies have explored the associations of greenness with blood lipids. However, the evidence is still limited and mixed, especially in rural areas. From May to September 2016, we recruited 4735 Uyghur adults from rural areas of northwestern China. We measured levels of total cholesterol (TC), triglycerides (TG), high-density lipoprotein cholesterol (HDL-C), and low-density lipoprotein cholesterol (LDL-C). Two satellite-derived vegetation indices - Normalized Difference Vegetation Index (NDVI) and Soil Adjusted Vegetation Index (SAVI) - were used to estimate residential greenness levels. The associations between exposure to residential greenness and blood lipids levels and dyslipidemia prevalence were examined using the Generalized Linear Mixed Models. Living in greener areas was associated with lower TG levels, higher HDL-C levels, and lower odds of hypoalphalipoproteinemia (e.g., per 0.20-unit increase in NDVI100 m was associated with 0.02 mmol/L (95% CI: 0.001, 0.03) higher levels of HDL-C and 0.87-fold (95% CI: 0.77, 0.98) lower odds of hypoalphalipoproteinemia). These associations remained in a series of sensitivity analyses. Stratified analyses showed that the associations of NDVI100 m with LDL-C and HDL-C levels were stronger in women and in participants with higher education level. Higher greenness exposure was beneficially associated with blood lipids among rural Uyghur population in China, especially among women or those with higher education level.

Greenness exposure is nominated as a potential beneficial factor for health, but evidence is limited on its diabetes effects. We conducted a cross-sectional study between May and September 2016 in rural areas of northwestern China, including 4670 Uyghur adults, to explore the associations between residential greenness and fasting glucose levels and diabetes prevalence. Fasting glucose levels were determined, and information on covariates was collected by questionnaire. Normalized difference vegetation index (NDVI) and soil-adjusted vegetation index (SAVI) were calculated to assess greenness levels. Generalized linear mixed models were applied to evaluate the associations of greenness with fasting glucose levels and diabetes prevalence. The prevalence of diabetes was 11.6%. We found that living in rural areas characterized by increased amounts of greenness was associated with reduced diabetes prevalence (e.g., NDVI_1000m: OR, 0.92; 95% CI, 0.86, 0.99). Stratified analyses showed that the protective effects of greenness on diabetes prevalence were found only in women (NDVI_1000m: OR, 0.90; 95% CI, 0.82, 0.99). However, none of the interaction was statistically significant. Our study suggests that greater residential greenness levels were associated with a lower odds ratio of diabetes prevalence in Xinjiang Uyghur adults. Further well-designed longitudinal studies are needed to confirm our findings.