title: Adiposity and stroke among older adults of low socioeconomic status: the Chicago Stroke Study.
abstract: OBJECTIVE
  The purpose of this study was to test the hypothesis that overall and truncal adiposity increase the risk of stroke independent of their association with cardiovascular disease risk factors and other preexisting illnesses.
  
  
  METHODS
  Analyses were conducted of longitudinal data from a poor, biracial cohort of noninstitutionalized adults 65 to 74 years of age who participated in the Chicago Stroke Study from 1965 to 1970.
  
  
  RESULTS
  Ponderal index (cm/kg1/3) and chest skinfold were significantly associated with systolic and diastolic blood pressure, serum cholesterol and triglycerides, plasma glucose, and smoking. Ponderal index was also associated with diabetes and risk of stroke. After potential confounders were controlled, the following variables showed significant independent associations with risk of stroke: Black race, female gender, and age 70+; hypertensive heart disease; and diabetes. Neither adiposity variable was associated with risk of stroke in the presence of these powerful predictors.
  
  
  CONCLUSIONS
  Control of hypertension and diabetes continues to be important among older adults. Since excess adiposity seems to influence risk of stroke through its association with these disorders and other cardiovascular disease risk factors, control of weight and fat remains an important concern as well.
authors.affiliation: School of Medicine, Department of Epidemiology and Public Health, Yale University, New Haven, Conn.
authors.forename: L
authors.initials: L
authors.lastname: DiPietro
authors.forename: A M
authors.initials: AM
authors.lastname: Ostfeld
authors.forename: G L
authors.initials: GL
authors.lastname: Rosner
mesh_terms: D000368:Aged; D002561:Cerebrovascular Disorders / Q000453:epidemiology* / Q000209:etiology; D002641:Chicago / Q000453:epidemiology; D005260:Female; D006801:Humans; D008137:Longitudinal Studies; D008297:Male; D009765:Obesity / Q000150:complications*; D011203:Poverty; D012044:Regression Analysis; D012307:Risk Factors