Key result
Lower income linked to ~4.6-fold higher odds of diagnosed Type 2 diabetes.
Cross-Sectional (n=7,315)
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Cross-sectional study shows lower income and retirement are linked to higher risks of impaired fasting glucose and type 2 diabetes, highlighting socioeconomic disparities in metabolic health.
AIMS: Studies on the relationship between socio-economic status and Type 2 diabetes mellitus in the Chinese population are sparse. We aimed to examine the relation of socio-economic status as represented by income, education and occupation to impaired fasting glucose, Type 2 diabetes, and the control of Type 2 diabetes in a large Chinese population. METHODS: This study included 7315 individuals who were aged 20-79 years and living in Tianjin, China. Impaired fasting glucose and Type 2 diabetes were ascertained according to the 1999 World Health Organization criteria. Data were analysed using multinomial and binary logistic regression, with adjustment for potential confounders. RESULT: Among all participants, 532 (7.3%) persons had impaired fasting glucose, 688 (9.4%) persons had Type 2 diabetes, including 288 (3.9%) previously undiagnosed Type 2 diabetes. In fully adjusted multinomial logistic regression, compared with higher income (≥ 2000 yuan, $243.3/month), lower income (< 1000 yuan, $121.70/month) showed odds ratios (95% confidence intervals) of 3.31 (2.48-4.41) for impaired fasting glucose, 4.50 (3.07-6.61) for undiagnosed Type 2 diabetes and 4.56 (3.20-6.48) for diagnosed Type 2 diabetes. These results remained significant in the analysis stratified by education and occupation. Furthermore, persons who were retired were more likely to have impaired fasting glucose [odds ratio 1.91 (1.40-2.45)], undiagnosed Type 2 diabetes [odds ratio 2.01) 1.40-2.89] and diagnosed Type 2 diabetes [odds ratio 3.02 (2.12-4.22)]. Among the patients with Type 2 diabetes previously diagnosed, lower education (less than senior high school), non-manual work and unemployment were related to worse glycaemic control (fasting blood glucose level > 8.5 mmol/l). CONCLUSIONS: Lower income and retirement are associated with increased odds of impaired fasting glucose and Type 2 diabetes in Tianjin, China. Education and occupation may play a role in glycaemic control among patients with Type 2 diabetes.
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Zhang et al. (2013) conducted a cross-sectional in Impaired fasting glucose and Type 2 diabetes mellitus (n=7,315). Lower socio-economic status (lower income <1000 yuan/month, retirement, lower education, occupation) vs. Higher socio-economic status (higher income ≥2000 yuan/month) was evaluated on Diagnosed Type 2 diabetes (alongside undiagnosed Type 2 diabetes and impaired fasting glucose) (OR 4.56, 95% CI 3.20-6.48). Lower income (<1000 vs ≥2000 yuan/month) was associated with higher odds of impaired fasting glucose (OR 3.31; 95% CI 2.48-4.41) and diagnosed Type 2 diabetes (OR 4.56; 95% CI 3.20-6.48).
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