Juhua Luo1, Cynthia A Thomson2, Michael Hendryx3, Lesley F Tinker4, JoAnn E Manson5, Yueyao Li1, Dorothy A Nelson6, Mara Z Vitolins7, Rebecca A Seguin8, Charles B Eaton9, Jean Wactawski-Wende10, Karen L Margolis11. 1. 1Department of Epidemiology and Biostatistics,School of Public Health, Indiana University Bloomington,1025 E. 7th Street, Bloomington, IN 47405,USA. 2. 2Health Promotion Sciences, Mel & Enid Zuckerman College of Public Health,University of Arizona,Tucson, AZ,USA. 3. 3Department of Environmental and Occupational Health, School of Public Health,Indiana University Bloomington,Bloomington, IN,USA. 4. 4Fred Hutchinson Cancer Research Center,Division of Public Health Science, Seattle, WA,USA. 5. 5Division of Preventive Medicine, Brigham and Women's Hospital,Harvard Medical School, Boston, MA,USA. 6. 6Department of Sociology, Anthropology, Social Work and Criminal Justice,Oakland University,Rochester, MI,USA. 7. 7Wake Forest School of Medicine,Wake Forest University,Winston-Salem, NC,USA. 8. 8Division of Nutritional Sciences, College of Human Ecology,Cornell University,Ithaca, NY,USA. 9. 9Department of Family Medicine, Warren Alpert Medical School,Brown University,Providence, RI,USA. 10. 11Department of Epidemiology and Environmental Health,University at Buffalo School of Public Health and Health Professions,Buffalo, NY,USA. 11. 12HealthPartners Institute,Minneapolis, MN,USA.
Abstract
OBJECTIVE: To assess the extent of error present in self-reported weight data in the Women's Health Initiative, variables that may be associated with error, and to develop methods to reduce any identified error. DESIGN: Prospective cohort study. SETTING: Forty clinical centres in the USA.ParticipantsWomen (n 75 336) participating in the Women's Health Initiative Observational Study (WHI-OS) and women (n 6236) participating in the WHI Long Life Study (LLS) with self-reported and measured weight collected about 20 years later (2013-2014). RESULTS: The correlation between self-reported and measured weights was 0·97. On average, women under-reported their weight by about 2 lb (0·91 kg). The discrepancies varied by age, race/ethnicity, education and BMI. Compared with normal-weight women, underweight women over-reported their weight by 3·86 lb (1·75 kg) and obese women under-reported their weight by 4·18 lb (1·90 kg) on average. The higher the degree of excess weight, the greater the under-reporting of weight. Adjusting self-reported weight for an individual's age, race/ethnicity and education yielded an identical average weight to that measured. CONCLUSIONS: Correlations between self-reported and measured weights in the WHI are high. Discrepancies varied by different sociodemographic characteristics, especially an individual's BMI. Correction of self-reported weight for individual characteristics could improve the accuracy of assessment of obesity status in postmenopausal women.
OBJECTIVE: To assess the extent of error present in self-reported weight data in the Women's Health Initiative, variables that may be associated with error, and to develop methods to reduce any identified error. DESIGN: Prospective cohort study. SETTING: Forty clinical centres in the USA.ParticipantsWomen (n 75 336) participating in the Women's Health Initiative Observational Study (WHI-OS) and women (n 6236) participating in the WHI Long Life Study (LLS) with self-reported and measured weight collected about 20 years later (2013-2014). RESULTS: The correlation between self-reported and measured weights was 0·97. On average, women under-reported their weight by about 2 lb (0·91 kg). The discrepancies varied by age, race/ethnicity, education and BMI. Compared with normal-weight women, underweight women over-reported their weight by 3·86 lb (1·75 kg) and obesewomen under-reported their weight by 4·18 lb (1·90 kg) on average. The higher the degree of excess weight, the greater the under-reporting of weight. Adjusting self-reported weight for an individual's age, race/ethnicity and education yielded an identical average weight to that measured. CONCLUSIONS: Correlations between self-reported and measured weights in the WHI are high. Discrepancies varied by different sociodemographic characteristics, especially an individual's BMI. Correction of self-reported weight for individual characteristics could improve the accuracy of assessment of obesity status in postmenopausal women.
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