| Autor: |
Bannon AL; Division of Research, Department of Obstetrics and Gynecology, University of Massachusetts Medical School, 119 Belmont Street, Jaquith Building, Worcester, MA, 01605, USA., Waring ME; Division of Research, Department of Obstetrics and Gynecology, University of Massachusetts Medical School, 119 Belmont Street, Jaquith Building, Worcester, MA, 01605, USA.; Department of Quantitative Health Sciences, University of Massachusetts Medical School, 55 Lake Avenue North, ACCES7, Worcester, MA, 01605, USA., Leung K; Division of Research, Department of Obstetrics and Gynecology, University of Massachusetts Medical School, 119 Belmont Street, Jaquith Building, Worcester, MA, 01605, USA., Masiero JV; Division of Research, Department of Obstetrics and Gynecology, University of Massachusetts Medical School, 119 Belmont Street, Jaquith Building, Worcester, MA, 01605, USA., Stone JM; Division of Research, Department of Obstetrics and Gynecology, University of Massachusetts Medical School, 119 Belmont Street, Jaquith Building, Worcester, MA, 01605, USA.; Department of Obstetrics & Gynecology, University of Connecticut School of Medicine, 263 Farmington Avenue, Farmington, CT, USA., Scannell EC; Division of Research, Department of Obstetrics and Gynecology, University of Massachusetts Medical School, 119 Belmont Street, Jaquith Building, Worcester, MA, 01605, USA.; Department of Obstetrics & Gynecology, Mount Sinai Beth Israel, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA., Moore Simas TA; Division of Research, Department of Obstetrics and Gynecology, University of Massachusetts Medical School, 119 Belmont Street, Jaquith Building, Worcester, MA, 01605, USA. tiffanya.mooresimas@umassmemorial.org.; Department of Pediatrics, University of Massachusetts Medical School, 55 Lake Avenue North, Worcester, MA, 01605, USA. tiffanya.mooresimas@umassmemorial.org.; Department of Obstetrics and Gynecology, University of Massachusetts Medical School, UMass Memorial Health Care, 119 Belmont Street, Jaquith Building Floor 2, Worcester, MA, 01605, USA. tiffanya.mooresimas@umassmemorial.org. |
| Abstrakt: |
Objectives To examine clinical and demographic characteristics associated with availability of self-reported and measured pre-pregnancy weight, differences in these parameters, and characteristics associated with self-report accuracy. Methods Retrospective cohort of 7483 women who delivered at a large academic medical center between 2011 and 2014. Measured pre-pregnancy weights recorded within a year of conception and self-reported pre-pregnancy weights reported anytime during pregnancy were abstracted from electronic medical records. Difference in weights was calculated as self-reported minus measured pre-pregnancy weight. Logistic and linear regression models estimated associations between demographic and clinical characteristics, and presence of self-reported and measured weights, and weight differences. Results 42.2% of women had both self-reported and measured pre-pregnancy weight, 49.7% had only self-reported, and 2.8% had only measured. Compared to white women, black women and women of other races/ethnicities were less likely to have self-reported weight, and black, Asian, and Hispanic women, and women of other races/ethnicities were less likely to have measured weights. For 85%, pre-pregnancy BMI categorized by self-reported and measured weights were concordant. Primiparas and multiparas were more likely to underreport their weight compared to nulliparas (b = -1.32 lbs, 95% CI -2.24 to -0.41 lbs and b = -2.74 lbs, 95% CI -3.82 to -1.67 lbs, respectively). Discussion Utilization of self-reported or measured pre-pregnancy weight for pre-pregnancy BMI classification results in identical categorization for the majority of women. Providers may wish to account for underreporting for patients with a BMI close to category cutoff by recommending a range of gestational weight gain that falls within recommendations for both categories where feasible. |
