Family average income and diagnosed Type 2 diabetes in urban and rural residents in regional mainland China

Diabet Med. 2006 Nov;23(11):1239-46. doi: 10.1111/j.1464-5491.2006.01965.x.

Abstract

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 > or = 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.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Aged
  • Aged, 80 and over
  • China / epidemiology
  • Cross-Sectional Studies
  • Diabetes Mellitus, Type 2 / economics
  • Diabetes Mellitus, Type 2 / epidemiology*
  • Female
  • Humans
  • Income / statistics & numerical data*
  • Male
  • Middle Aged
  • Rural Health
  • Socioeconomic Factors
  • Urban Health