Abstract
ObjectiveThis study aimed to explore the relationships between residential greenness and cardiometabolic risk factors among rural adults in Xinjiang Uygur Autonomous Region (Xinjiang) and thus provide a theoretical basis and data support for improving the health of residents in this region. MethodsWe recruited 9,723 adult rural residents from the 51st Regiment of the Third Division of the Xinjiang Production and Construction Corps in September 2016. The normalized difference vegetation index (NDVI) was used to estimate residential greenness. The generalized linear mixed model (GLMM) was used to examine the association between residential greenness and cardiometabolic risk factors. ResultsHigher residential greenness was associated with lower cardiometabolic risk factor prevalence. After adjustments were made for age, sex, education, and marital status, for each interquartile range (IQR) increase of NDVI500-m, the risk of hypertension was reduced by 10.3% (OR = 0.897, 95% CI = 0.836–0.962), the risk of obesity by 20.5% (OR = 0.795, 95% CI = 0.695–0.910), the risk of type 2 diabetes by 15.1% (OR = 0.849, 95% CI = 0.740–0.974), and the risk of dyslipidemia by 10.5% (OR = 0.895, 95% CI = 0.825–0.971). Risk factor aggregation was reduced by 20.4% (OR = 0.796, 95% CI = 0.716–0.885) for the same. Stratified analysis showed that NDVI500-m was associated more strongly with hypertension, dyslipidemia, and risk factor aggregation among male participants. The association of NDVI500-m with type 2 diabetes was stronger among participants with a higher education level. PM10 and physical activity mediated 1.9%–9.2% of the associations between NDVI500-m and obesity, dyslipidemia, and risk factor aggregation. ConclusionHigher residential greenness has a protective effect against cardiometabolic risk factors among rural residents in Xinjiang. Increasing the area of green space around residences is an effective measure to reduce the burden of cardiometabolic-related diseases among rural residents in Xinjiang.
Published Version
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Similar Papers
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.