Kun Tang 1 , Hanyu Wang 2 , Yuning Liu 3 , Shi Hui Tan 4 Show Affiliations »
Abstract
BACKGROUND: Following the rapid economic growth, there has been a strong disparity of regional development and personal income in China. Type 2 diabetes mellitus (T2DM) may be influenced by socioeconomic status at both the societal and individual levels. This study examines the associations of regional economic development, household income and gender on T2DM. METHOD: Data from the baseline of a Chinese population-based study of approximately 500 000 adults from 10 areas were analysed. Clinically identified and screen-detected T2DM were examined. Regional economic development was indicated by gross domestic product (GDP) per capita. A logistic regression-based method was used to calculate the adjusted prevalence. RESULT: The prevalence of T2DM was significantly higher in medium GDP per capita areas for both males (7.04%, 95% CI 6.82% to 7.26%) and females (6.04%, 95% CI 5.86% to 6.22%) compared with areas of other levels of economic development. The different shapes of associations between household income and T2DM prevalence were observed in different GDP per capita areas. There were strong gender differences in terms of both the trend and strength of association between household income and T2DM prevalence. CONCLUSIONS: Findings from this study underscore the importance of economic conditions and gender difference on T2DM. It suggests that strategies for diabetes prevention should address social-economic differences besides a person-centred approach. © Author(s) (or their employer(s)) 2019. No commercial re-use. See rights and permissions. Published by BMJ.
BACKGROUND: Following the rapid economic growth, there has been a strong disparity of regional development and personal income in China. Type 2 diabetes mellitus (T2DM) may be influenced by socioeconomic status at both the societal and individual levels. This study examines the associations of regional economic development, household income and gender on T2DM. METHOD: Data from the baseline of a Chinese population-based study of approximately 500 000 adults from 10 areas were analysed. Clinically identified and screen-detected T2DM were examined. Regional economic development was indicated by gross domestic product (GDP) per capita. A logistic regression-based method was used to calculate the adjusted prevalence. RESULT: The prevalence of T2DM was significantly higher in medium GDP per capita areas for both males (7.04%, 95% CI 6.82% to 7 .26%) and females (6.04%, 95% CI 5.86% to 6.22%) compared with areas of other levels of economic development. The different shapes of associations between household income and T2DM prevalence were observed in different GDP per capita areas. There were strong gender differences in terms of both the trend and strength of association between household income and T2DM prevalence. CONCLUSIONS: Findings from this study underscore the importance of economic conditions and gender difference on T2DM. It suggests that strategies for diabetes prevention should address social-economic differences besides a person -centred approach. © Author(s) (or their employer(s)) 2019. No commercial re-use. See rights and permissions. Published by BMJ.
Entities: Disease
Species
Keywords:
China; GDP per capita; T2DM; gender; health disparity; income
Mesh： See more »
Year: 2019
PMID： 31164442 DOI： 10.1136/jech-2018-211091
Source DB: PubMed Journal: J Epidemiol Community Health ISSN： 0143-005X Impact factor: 3.710