Key result
Urban residence among Uygur diabetic patients was associated with a higher prevalence of HbA1c >8% compared to rural residence (54.5% vs 48.1%, p=0.019), with similar complication rates.
Why the study?
Does urban versus rural residence affect metabolic risk factors and glycemic control in Uygur residents with type 2 diabetes?
Cross-Sectional (n=3,797)
Does urban versus rural residence affect metabolic risk factors and glycemic control in Uygur residents with type 2 diabetes?
Absolute Event Rate: 54.5% vs 48.1%
p-value: p=0.019
Urban Uygur residents exhibit more metabolic risk factors and poorer glycemic control compared to rural residents, emphasizing the impact of urbanization on diabetes management.
Urban Uygur diabetics may warrant closer monitoring; cross-sectional data leaves open causal role of residence.
BACKGROUND: Diabetes is a major global public health problem driven by a high prevalence of metabolic risk factors. OBJECTIVE: To describe the differences of metabolic risk factors of type 2 diabetes, as well as glycemic control and complicated diabetic complications between rural and urban Uygur residents in Xinjiang Uygur Autonomous Region of China. METHODS: This comparative cross-sectional study, conducted among 2879 urban and 918 rural participants in Xinjiang, China, assessed the metabolic risk factors of diabetes and related complications differences between urban and rural settlements. RESULTS: Compared to rural areas, urban participants had higher education level and more average income, little physical activity, less triglycerides and higher HDL-c (p < 0.05 respectively). Differences in metabolic risk factors by urban/rural residence included overweight or obesity, triglycerides (≥1.71mmol/l), HDL-c (< 1.04 mmol/l), alcohol intake, and physical inactivity (p < 0.01 respectively). There was significant difference regarding the prevalence of HbA1c >8% (48.1% versus 54.5%, p = 0.019) between rural and urban diabetic participants. No significant difference in the prevalence of type 2 diabetic complications between urban and rural participants (74.9% versus 72.2%; p = 0.263) was detected. Compared to rural participants, the most prevalent modifiable risk factors associated with diabetic complications in urban participants were obesity (BMI ≥ 28 Kg/m2), HDL-c (< 1.04 mmol/l), physical inactivity and irregular eating habits (p = 0.035, p = 0.001, p < 0.001, and p = 0.013, respectively). CONCLUSIONS: Urban settlers were significantly more likely to have metabolic risk factors highlighting the need for public health efforts to improve health outcomes for these vulnerable populations. Diabetes related complications risk factors were prevalent amongst rural and urban diabetes settlers.
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Du et al. (2016) conducted a cross-sectional in Type 2 Diabetes Mellitus (n=3,797). Urban residence vs. Rural residence was evaluated on Prevalence of HbA1c >8% (p=0.019). Urban residence among Uygur diabetic patients was associated with a higher prevalence of HbA1c >8% compared to rural residence (54.5% vs 48.1%, p=0.019), with similar complication rates.
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