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. METHOD: 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. CONCLUSION: Overall, we found that women with overweight and obesity were more likely to receive preventive services, especially services relevant for overweight and obese populations.
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. METHOD: 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 obesewomen 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. CONCLUSION: 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: Alyson J Littman; Thomas D Koepsell; Christopher W Forsberg; Edward J Boyko; William S Yancy Journal: Am J Prev Med Date: 2011-11 Impact factor: 5.043
Authors: William S Yancy; Jennifer R McDuffie; Karen M Stechuchak; Maren K Olsen; Eugene Z Oddone; Linda S Kinsinger; Santanu K Datta; Deborah A Fisher; Katrina M Krause; Truls Østbye Journal: Obesity (Silver Spring) Date: 2010-03-04 Impact factor: 5.002
Authors: Carol S Weisman; Marianne M Hillemeier; Gary A Chase; Anne-Marie Dyer; Sara A Baker; Mark Feinberg; Danielle Symons Downs; Roxanne L Parrott; Heather K Cecil; John J Botti; Colin MacNeill; Cynthia H Chuang; Berwood Yost Journal: Womens Health Issues Date: 2006 Jul-Aug
Authors: Kay Johnson; Samuel F Posner; Janis Biermann; José F Cordero; Hani K Atrash; Christopher S Parker; Sheree Boulet; Michele G Curtis Journal: MMWR Recomm Rep Date: 2006-04-21
Authors: Carol S Weisman; Dawn P Misra; Marianne M Hillemeier; Danielle Symons Downs; Cynthia H Chuang; Fabian T Camacho; Anne-Marie Dyer Journal: Matern Child Health J Date: 2009-05-27
Authors: Diane M Harper; Britney M Else; Mitchell J Bartley; Anne M Arey; Angela L Barnett; Beth E Rosemergey; Christopher A Paynter; Inge Verdenius; Sean M Harper; George D Harris; Jennifer A Groner; Gerard J Malnar; Jeffrey Wall; Aaron J Bonham Journal: PLoS One Date: 2014-07-30 Impact factor: 3.240