Xiaodan Mai1, Jill N Sperrazza, Britt A Marshall, Kathleen M Hovey, Jean Wactawski-Wende. 1. 1Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, Buffalo, NY 2Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY 3Department of Medicine, Penn State Milton S. Hershey Medical Center, Hershey, PA.
Abstract
OBJECTIVE: Self-reported height is commonly used in population obesity research. Evidence has also shown a positive association between depression and obesity. We examined the extent of height misreporting and its impact on body mass index (BMI) calculations and classification, and explored whether depression is associated with height misreporting. METHODS: The Buffalo Osteoporosis and Periodontal Disease Follow-up Study enrolled 1,015 postmenopausal women between 2002 and 2006. Participants self-reported their height on a questionnaire before stadiometer measurement at the clinical visit. Depressive symptoms were assessed using the Center for Epidemiologic Studies Depression Scale. Odds ratios and 95% CI for association between depression and height misreporting were estimated using logistic regression. RESULTS: Overall, 446 women (43.9%) misreported height by greater than 1/2 inch, of which 296 (29.2%) underestimated and 150 (14.8%) overestimated their height. Height misreporting influenced BMI calculations by ≥1 unit in 12% of women, and influenced classification into WHO BMI categories in 8% of women. After adjusting for age, race, education, and measured BMI, women with significant depressive symptoms were more likely to misreport their height (odds ratio = 1.65, 95% CI, 1.04-2.61). CONCLUSIONS: Height misreporting was common in older women and significantly influenced BMI calculations and classification. Obtaining objective data is thus important for studies investigating obesity-disease associations in this population, especially in those with significant depressive symptoms.
OBJECTIVE: Self-reported height is commonly used in population obesity research. Evidence has also shown a positive association between depression and obesity. We examined the extent of height misreporting and its impact on body mass index (BMI) calculations and classification, and explored whether depression is associated with height misreporting. METHODS: The Buffalo Osteoporosis and Periodontal Disease Follow-up Study enrolled 1,015 postmenopausal women between 2002 and 2006. Participants self-reported their height on a questionnaire before stadiometer measurement at the clinical visit. Depressive symptoms were assessed using the Center for Epidemiologic Studies Depression Scale. Odds ratios and 95% CI for association between depression and height misreporting were estimated using logistic regression. RESULTS: Overall, 446 women (43.9%) misreported height by greater than 1/2 inch, of which 296 (29.2%) underestimated and 150 (14.8%) overestimated their height. Height misreporting influenced BMI calculations by ≥1 unit in 12% of women, and influenced classification into WHO BMI categories in 8% of women. After adjusting for age, race, education, and measured BMI, women with significant depressive symptoms were more likely to misreport their height (odds ratio = 1.65, 95% CI, 1.04-2.61). CONCLUSIONS: Height misreporting was common in older women and significantly influenced BMI calculations and classification. Obtaining objective data is thus important for studies investigating obesity-disease associations in this population, especially in those with significant depressive symptoms.
Authors: WanWan Xu; Subashan Perera; Donna Medich; Gail Fiorito; Julie Wagner; Loretta K Berger; Susan L Greenspan Journal: Bone Date: 2010-09-24 Impact factor: 4.398
Authors: Christopher Bole; Jean Wactawski-Wende; Kathleen M Hovey; Robert J Genco; Ernest Hausmann Journal: Community Dent Oral Epidemiol Date: 2010-12 Impact factor: 3.383
Authors: Marney A White; Robin M Masheb; Carolyn Burke-Martindale; Bruce Rothschild; Carlos M Grilo Journal: Obesity (Silver Spring) Date: 2007-11 Impact factor: 5.002
Authors: Hailey R Banack; Andrew Stokes; Matthew P Fox; Kathleen M Hovey; Elizabeth M Cespedes Feliciano; Erin S LeBlanc; Chloe Bird; Bette J Caan; Candyce H Kroenke; Matthew A Allison; Scott B Going; Linda Snetselaar; Ting-Yuan David Cheng; Rowan T Chlebowski; Marcia L Stefanick; Michael J LaMonte; Jean Wactawski-Wende Journal: Epidemiology Date: 2018-09 Impact factor: 4.822