title: Prospective association between body mass index and receipt of preventive services: results from the Central Pennsylvania Women's Health Study (CePAWHS).
abstract: OBJECTIVE
  We examine whether overweight and obesity are associated with disparities in clinical preventive services receipt in a unique, prospective, population-based cohort of reproductive-age women.
  
  
  METHODS
  We used data from the Central Pennsylvania Women's Health Study (CePAWHS) longitudinal survey of women ages 18-45. The baseline random-digit-dial telephone survey was conducted in 2004-2005 and a second telephone interview two years later; 1342 participants comprised the analytic sample. Dependent variables were seven preventive services identified at follow-up. In addition to baseline body mass index (BMI) category, independent variables were selected based on the behavioral model of health services utilization.
  
  
  RESULTS
  Forty-six percent of the sample was classified as normal weight, 28% as overweight, and 26% as obese. In adjusted analyses, women who were overweight and obese, compared to women with normal weight, were more likely to receive preventive counseling for diet/nutrition, physical activity, and weight management (p<0.01). Overweight and obese women received more cholesterol and diabetes screening (p<0.05 and p<0.01, respectively). However, there were no differences by BMI category in receipt of Pap testing or reproductive counseling.
  
  
  CONCLUSIONS
  Overall, we found that women with overweight and obesity were more likely to receive preventive services, especially services relevant for overweight and obese populations.
authors.affiliation: Pennsylvania State University, College of Medicine, Hershey, PA 17033, USA. jkraschnewski@hmc.psu.edu
authors.forename: Jennifer L
authors.initials: JL
authors.lastname: Kraschnewski
authors.forename: Jennifer S
authors.initials: JS
authors.lastname: McCall-Hosenfeld
authors.forename: Carol S
authors.initials: CS
authors.lastname: Weisman
mesh_terms: D000293:Adolescent; D000328:Adult; D015992:Body Mass Index; D002784:Cholesterol / Q000032:analysis; D003376:Counseling / Q000706:statistics & numerical data; D003920:Diabetes Mellitus / Q000175:diagnosis / Q000517:prevention & control; D005193:Family Planning Services / Q000706:statistics & numerical data; D005260:Female; D005500:Follow-Up Studies; D019538:Health Care Surveys; D007722:Health Knowledge, Attitudes, Practice; D006305:Health Status Indicators; D006801:Humans; D008137:Longitudinal Studies; D008403:Mass Screening / Q000706:statistics & numerical data; D008875:Middle Aged; D009765:Obesity / Q000175:diagnosis / Q000517:prevention & control*; D050177:Overweight / Q000175:diagnosis / Q000517:prevention & control*; D010414:Pennsylvania; D011314:Preventive Health Services / Q000706:statistics & numerical data*; D011446:Prospective Studies; D034121:Reproductive Health Services / Q000706:statistics & numerical data; D012307:Risk Factors; D012923:Social Class; D011795:Surveys and Questionnaires; D016387:Women's Health / Q000706:statistics & numerical data*
chemical_list: D002784:Cholesterol