title: [Cross-sectional association between diabetes and obesity among the elderly of different genders in Yantai City].
abstract: OBJECTIVE
  To explore the cross-sectional association between the incidence of diabetes and obesity among the elderly of different genders, which intends to provide the scientific basis for undertaking glycemia interventions in the early stage to be conducive to the old folks' health status in Yantai City.
  
  
  METHODS
  A total of 986 old people (≥ 60 years old) were recruited from 4 districts in Laishan District Yantai City, Penglai City, Qixia City, Haiyang City by stratified cluster of random sampling and surveyed using questionnaires, while the physical examinations and blood glucose tests were conducted. The logistic regression model was used to analyze the cross-sectional association between the incidence of diabetes and obesity among the elderly of different genders in Yantai City.
  
  
  RESULTS
  The rates of obesity and abdominal obesity were 10.04% and 60.85% among the old people in Yantai, respectively. The morbidity rate of diabetes was 10.85%. The influencing factors such as age, cultural standard, monthly income, past job category, smoking, drinking were adjusted, the fat old people had 3.121 times as much chance of suffering from obesity as the normal weight ones (OR = 3.121, 95% CI 1.978 - 5.119). And there was a gender difference between diabetes and obesity. The cross-sectional association between the incidence of diabetes and masculine obesity was of statistical significance alone (OR = 3.924, 95% CI 1.561 - 7.174). The elderly with the abdominal obesity 2.398 times as likely to suffer from diabetes as the elderly with the non-abdominal obesity (OR = 2.398, 95% CI 2.123 - 4.412). There was a gender difference between diabetes and abdominal obesity. The cross-sectional association between the incidence of diabetes and masculine abdominal obesity was of statistical significance alone (OR = 2.917, 95% CI 1.249 - 4.019).
  
  
  CONCLUSIONS
  There are gender difference in the relationship between obesity, abdominal obesity and diabetes in the elderly in Yantai. BMI and waist circumference can be used as the predictive indexes of masculine diabetes.
authors.forename: Wei
authors.initials: W
authors.lastname: Mi
authors.forename: Nan
authors.initials: N
authors.lastname: Wang
authors.forename: Wu
authors.initials: W
authors.lastname: Lian
authors.forename: Weijie
authors.initials: W
authors.lastname: Yi
authors.forename: Tala
authors.initials: T
authors.lastname: Shi
authors.forename: Wenting
authors.initials: W
authors.lastname: Han
mesh_terms: D000368:Aged; D000375:Aging / Q000473:pathology / Q000502:physiology*; D003430:Cross-Sectional Studies; D003920:Diabetes Mellitus / Q000175:diagnosis / Q000453:epidemiology / Q000208:ethnology / Q000209:etiology*; D006801:Humans; D015994:Incidence; D009765:Obesity / Q000175:diagnosis / Q000453:epidemiology* / Q000208:ethnology / Q000503:physiopathology; D056128:Obesity, Abdominal / Q000175:diagnosis / Q000453:epidemiology* / Q000208:ethnology / Q000503:physiopathology; D017678:Sex Distribution; D012737:Sex Factors; D012907:Smoking / Q000009:adverse effects; D011795:Surveys and Questionnaires; D014505:Urban Population; D055105:Waist Circumference