title: Prevalence of dysglycaemia in rural Andhra Pradesh: 2005, 2010, and 2014.
abstract: BACKGROUND
  Communities in rural Andhra Pradesh may be at increasing risk of diabetes. In the present study we analyzed three cross-sectional studies over 9 years to estimate the changing prevalence of dysglycemia (diabetes and prediabetes).
  
  
  METHODS
  The 2005 study sampled 4535 individuals from 20 villages, the 2010 study sampled 4024 individuals from 14 villages, and the 2014 project of 62 254 individuals sought to include all adults aged 40-85 years from 54 villages. Blood glucose levels were estimated using a hand-held device in 2005 and 2014 and using HbA1c dried blood spots in 2010.
  
  
  RESULTS
  In primary analyses restricted to assays based on fasting samples (2005, n = 3243; 2014, n = 749), the prevalence estimates for dysglycemia were 53.7% (95% confidence interval [CI] 51.8%-55.7%) in 2005 and 62.0% (95% CI 58.5%-65.4%) in 2014 (P < 0.001). Over the same period, mean body mass index (BMI) increased from 22.2 to 24.3 kg/m2(mean difference 2.1 kg/m2; 95% CI 2.0-2.2 kg/m2; P < 0.001). In secondary analyses using data from all participants (2005, n = 4535; 2010, n = 4024; 2014, n = 62 254), regardless of measurement technique, the estimated prevalence of dysglycemia was 53.9% (95% CI 52.0%-55.9%) in 2005, 50.5% (95% CI 46.1%-54.9%) in 2010, and 41.3% (95% CI 40.9%-41.7%) in 2014 (P < 0.001).
  
  
  CONCLUSIONS
  The prevalence of dysglycemia was high at every assessment using every measurement method. Dysglycemia in this population is most likely to have risen with the rise in BMI. The decline in prevalence suggested by the secondary analyses was likely due to confounding from the different assessment methods.
authors.affiliation: The George Institute for Global Health, University of Sydney, Sydney, New South Wales, Australia. Eaff7299@uni.sydney.edu.au.
authors.forename: Eshan T
authors.initials: ET
authors.lastname: Affan
authors.affiliation: The George Institute for Global Health, University of Sydney, Sydney, New South Wales, Australia.
authors.forename: Devarsetty
authors.initials: D
authors.lastname: Praveen
authors.affiliation: The George Institute for Global Health, University of Sydney, Sydney, New South Wales, Australia.
authors.forename: Jason H Y
authors.initials: JH
authors.lastname: Wu
authors.affiliation: The George Institute for Global Health, University of Sydney, Sydney, New South Wales, Australia.|Westmead Hospital, Sydney, New South Wales, Australia.
authors.forename: Clara K
authors.initials: CK
authors.lastname: Chow
authors.affiliation: The George Institute for Global Health, University of Sydney, Sydney, New South Wales, Australia.
authors.forename: David
authors.initials: D
authors.lastname: Peiris
authors.affiliation: The George Institute for Global Health, University of Sydney, Sydney, New South Wales, Australia.|Royal Prince Alfred Hospital, Sydney, New South Wales, Australia.
authors.forename: Anushka
authors.initials: A
authors.lastname: Patel
authors.affiliation: The George Institute for Global Health, University of Sydney, Sydney, New South Wales, Australia.|Royal Prince Alfred Hospital, Sydney, New South Wales, Australia.|Imperial College, London, UK.
authors.forename: Bruce C
authors.initials: BC
authors.lastname: Neal
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D001786:Blood Glucose / Q000032:analysis; D003920:Diabetes Mellitus / Q000453:epidemiology*; D005260:Female; D006442:Glycated Hemoglobin / Q000032:analysis; D006306:Health Surveys; D006801:Humans; D007194:India / Q000453:epidemiology; D008297:Male; D008875:Middle Aged; D011236:Prediabetic State / Q000453:epidemiology*; D015995:Prevalence; D012424:Rural Population
chemical_list: D001786:Blood Glucose; D006442:Glycated Hemoglobin; C517652:hemoglobin A1c protein, human
keywords: diabetes; impaired fasting glucose; prediabetes; prevalence; rural India; 印度农村; 患病率; 空腹血糖受损; 糖尿病; 糖尿病前期