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Family average income and diagnosed Type 2 diabetes in urban and rural residents in regional mainland China
Author(s) -
Xu F.,
Yin X. M.,
Zhang M.,
Leslie E.,
Ware R.,
Owen N.
Publication year - 2006
Publication title -
diabetic medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.474
H-Index - 145
eISSN - 1464-5491
pISSN - 0742-3071
DOI - 10.1111/j.1464-5491.2006.01965.x
Subject(s) - medicine , body mass index , demography , mainland china , confounding , residence , population , epidemiology , type 2 diabetes , rural area , diabetes mellitus , china , cross sectional study , gerontology , environmental health , geography , archaeology , pathology , endocrinology , sociology
Aims To explore the relationship between family average income (FAI; an index of socio‐economic status) and Type 2 diabetes in a region of mainland China. Methods Population‐based cross‐sectional study, conducted between October 2000 and March 2001 in administrative villages ( n = 45) randomly selected from three urban districts and two rural counties of NanJing municipality, mainland China, with a regional population of 5.6 million. Participants were all local residents aged ≥ 35 years old ( n = 29 340); 67.7% from urban areas, 32.3% from rural areas, 49.8% male and 50.2% female. Results The response rate of eligible participants was 90.1%. The overall prevalence of self‐reported Type 2 diabetes was 1.9%. After adjustment for possible confounding variables (age, gender, area of residence, body mass index, educational level, smoking status, occupational and leisure‐time physical activity), participants in the higher and middle FAI categories were more than twice as likely to have Type 2 diabetes as those in the lower FAI category. Conclusions The prevalence of Type 2 diabetes is positively related to socio‐economic status (indexed by FAI) in Chinese at the population level. After controlling for potential confounding factors, people in higher socio‐economic status groups are more likely to have Type 2 diabetes. These associations are consistent with other effects of epidemiological transition and identify a need for preventive initiatives.