The CPS-3 cohort is described in detail elsewhere briefly, between 20, 296,450 CPS-3 volunteer participants aged 30 to 65 years old enrolled in-person at community enrollment sites where they completed a self-administered enrollment survey, had their waist circumference measured, and provided a small blood sample. This study provides an opportunity to assess the validity of these self-reported anthropometric measures by age, marital status, education level, and race/ethnicity separately by sex in such a cohort. The American Cancer Society’s Cancer Prevention Study-3 (CPS-3) is a large US-based prospective cohort study in which self-reported weight and height can be compared to measured weight and height among a diverse sub-sample of men and women. While there is ample literature on the validity of self-reported height and weight across a variety of populations, there are few studies within US-based prospective cohorts enrolled in the 21 st century. There is additional evidence to suggest that race, education level, and marital status contribute to reporting error but findings are inconsistent. Weight is generally underreported by both sexes, usually to a greater extent in women and heavier individuals. Height is consistently overreported, particularly among shorter men and older men and women. Reporting error is influenced by both physical factors and sociodemographic characteristics. This discrepancy results in misclassification when categorizing BMI that could bias associations between BMI and chronic disease or mortality risk. BMI calculated from self-reported weight and height (self-reported BMI) is generally lower than BMI calculated from measured weight and height (measured BMI) due to the underestimation of weight and overestimation of height. It is well established that anthropometric measures are subject to systematic reporting biases that may lead to differences between self-reported and measured height and weight. adults (39.8%) and the importance of accurately assessing the impact of obesity on disease risk, understanding potential misclassification of BMI due to differences between self-reported and measured height and weight is essential. Given the high prevalence of obesity among U.S. In large prospective cohort studies, height and weight data are frequently self-reported on surveys due to ease of collection and relatively low cost. Height and weight are commonly used metrics in epidemiologic studies to calculate body mass index (BMI, kg/m 2) as a proxy measure for excess body fatness. Data are available from the Cancer Prevention Study 3 and are available from the American Cancer Society by following the ACS Data Access Procedures ( ) for researchers who meet the criteria for access to confidential data.įunding: All authors were supported by American Cancer Society funds for the creation, maintenance, and updating of the Cancer Prevention Study-3 cohort.Ĭompeting interests: The authors have declared that no competing interests exist.Įxcess body fatness is an important risk factor for cancer, cardiovascular, and all-cause mortality. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.ĭata Availability: The data underlying the findings of this study are restricted by the Emory University Institutional Review Board, who approved the consent forms. Received: NovemAccepted: MaPublished: April 13, 2020Ĭopyright: © 2020 Hodge et al. PLoS ONE 15(4):Įditor: Robert Siegel, Cincinnati Children's, UNITED STATES Citation: Hodge JM, Shah R, McCullough ML, Gapstur SM, Patel AV (2020) Validation of self-reported height and weight in a large, nationwide cohort of U.S.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |