Situation of Diabetes and Related Disease Surveillance in Rural Areas of Jilin Province, Northeast China

Int J Environ Res Public Health. 2016 May 27;13(6):538. doi: 10.3390/ijerph13060538.

Abstract

Background: Several studies have investigated the prevalence and awareness of diabetes mellitus (DM) in China, but little is known about the situation of DM in the northeastern rural areas. Our present study investigated the prevalence, awareness and associated characteristics of DM in rural areas of Jilin Province, aiming to suggest more efforts for the prevention and control of DM.

Methods: A multistage stratified random cluster sampling design was used in this cross-sectional study which took place in 2012. Data were collected by face-to-face interviews and physical examinations. Rao-Scott Chi-square test, t test and multivariate logistic regression analysis were used.

Results: The estimated prevalence of DM in rural areas of Jilin province was 7.2%. DM was positively associated with age, Body mass index (BMI), hypotension, dyslipidemia and was high in participants with a family history of diabetes and those who exercise frequently, but low for high education level and married participants. 69.0% participants with DM were aware of their diabetes status, 88.2% of whom received treatment and 34.4% of whom had received treatment controlled their DM status.

Conclusions: We observed a high prevalence and low awareness status of DM among the rural residents in Jilin Province, but the rate of effective control in those who have received treatment was considerable. The low rate of disease surveillance should draw health authority's attention.

Keywords: associated factors; awareness; diabetes mellitus; disease surveillance; rural areas.

MeSH terms

  • Adolescent
  • Adult
  • China / epidemiology
  • Cross-Sectional Studies
  • Diabetes Mellitus / epidemiology*
  • Diabetes Mellitus / etiology*
  • Dyslipidemias / epidemiology
  • Dyslipidemias / etiology
  • Female
  • Humans
  • Male
  • Middle Aged
  • Prevalence
  • Rural Population*