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Differences in body mass index based on self-reported versus measured data from women veterans.
Breland, Jessica Y; Joyce, Vilija R; Frayne, Susan M; Phibbs, Ciaran.
Afiliação
  • Breland JY; VA HSR&D Center for Innovation to Implementation (Ci2i), VA Palo Alto Health Care System Menlo Park CA USA.
  • Joyce VR; VA HSR&D Health Economics Resource Center (HERC), US Department of Veterans Affairs, VA Palo Alto Health Care System Menlo Park CA USA.
  • Frayne SM; VA HSR&D Center for Innovation to Implementation (Ci2i), VA Palo Alto Health Care System Menlo Park CA USA.
  • Phibbs C; Division of Primary Care& Population Health Stanford University School of Medicine Stanford CA USA.
Obes Sci Pract ; 6(4): 434-438, 2020 Aug.
Article em En | MEDLINE | ID: mdl-32874677
ABSTRACT

OBJECTIVE:

The objective was to compare differences in body mass index (BMI) calculated with self-reported versus clinically measured pre-conception data from women veterans in California.

METHODS:

Veterans Health Administration (VHA) and California state birth certificate data were used to develop a cohort of women who gave birth from 2007-2012 and had VHA data available to calculate BMI (N = 1,326 mothers, 1,473 births). Weighted Kappa statistics assessed concordance between self-reported and measured BMI. A linear mixed-effects model with maximum likelihood estimation, adjusted for mother as a random effect, assessed correlates of differences in BMI.

RESULTS:

Mean BMI was in the overweight range based on self-reported (26.2 kg/m2, SD 5.2) and measured (26.8 kg/m2, SD 5.2) data. Weighted Kappa statistics indicated good agreement between self-reported and measured BMI (0.73, 95% CI 0.70, 0.76). Compared to the normal weight group, groups with overweight or obesity were significantly more likely to have lower BMIs when calculated using self-reported versus measured heights and weights, in unadjusted and adjusted models. The finding was pronounced for class 3 obesity, which was associated with a BMI underestimation of 6.4 kg/m2.

CONCLUSIONS:

Epidemiologic research that guides the clinical care of pregnant women should account for potential under-estimation of BMI in heavier women, and perform direct measurement where feasible.
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2020 Tipo de documento: Article