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. 2021 Aug;25(8):1242-1253.
doi: 10.1007/s10995-021-03149-9. Epub 2021 Apr 30.

Bias in Self-reported Prepregnancy Weight Across Maternal and Clinical Characteristics

Affiliations

Bias in Self-reported Prepregnancy Weight Across Maternal and Clinical Characteristics

Andrea J Sharma et al. Matern Child Health J. 2021 Aug.

Abstract

Objectives: Prepregnancy body mass index (BMI) and gestational weight gain (GWG) are known determinants of maternal and child health; calculating both requires an accurate measure of prepregnancy weight. We compared self-reported prepregnancy weight to measured weights to assess reporting bias by maternal and clinical characteristics.

Methods: We conducted a retrospective cohort study among pregnant women using electronic health records (EHR) data from Kaiser Permanente Northwest, a non-profit integrated health care system in Oregon and southwest Washington State. We identified women age ≥ 18 years who were pregnant between 2000 and 2010 with self-reported prepregnancy weight, ≥ 2 measured weights between ≤ 365-days-prior-to and ≤ 42-days-after conception, and measured height in their EHR. We compared absolute and relative difference between self-reported weight and two "gold-standards": (1) weight measured closest to conception, and (2) usual weight (mean of weights measured 6-months-prior-to and ≤ 42-days-after conception). Generalized-estimating equations were used to assess predictors of misreport controlling for covariates, which were obtained from the EHR or linkage to birth certificate.

Results: Among the 16,227 included pregnancies, close agreement (± 1 kg or ≤ 2%) between self-reported and closest-measured weight was 44% and 59%, respectively. Overall, self-reported weight averaged 1.3 kg (SD 3.8) less than measured weight. Underreporting was higher among women with elevated BMI category, late prenatal care entry, and pregnancy outcome other than live/stillbirth (p < .05). Using self-reported weight, BMI was correctly classified for 91% of pregnancies, but ranged from 70 to 98% among those with underweight or obesity, respectively. Results were similar using usual weight as gold standard. CONCLUSIONS FOR PRACTICE: Accurate measure of prepregnancy weight is essential for clinical guidance and surveillance efforts that monitor maternal health and evaluate public-health programs. Identification of characteristics associated with misreport of self-reported weight can inform understanding of bias when assessing the influence of prepregnancy BMI or GWG on health outcomes.

Keywords: Body mass index; Body weights and measures; Gestational weight gain; Pregnancy; Validation studies.

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Conflict of interest statement

Conflict of interest All authors declare that they have no conflict of interest.

Figures

Fig. 1
Fig. 1
Consort diagrams for primary analysis (2000–2010) and secondary analysis (2015–2016) a Comparison of pregnancies included in primary analysis to pregnancies excluded can be found in eTable 1. b Comparison of pregnancies included in primary sub-analysis to pregnancies excluded can be found in eTable 2. c Comparison of pregnancies included in secondary analysis to pregnancies excluded can be found in eTable 3.
Fig. 2
Fig. 2
By body mass index category, distribution of reporting error in self-reported prepregnancy weight compared to weight measured CLOSESTa to conception in terms of absolute difference (Panels A and B) and as a proportion of measured weight (Panels C and D) a Measured weight closest to date of conception between 6-months-prior-to (≤182 days) and ≤42-days-after conception.

References

    1. Bannon AL, Waring ME, Leung K, Masiero JV, Stone JM, Scannell EC, & Moore Simas TA (2017). Comparison of self-reported and measured pre-pregnancy weight: Implications for gestational weight gain counseling. Maternal and Child Health Journal, 21(7), 1469–1478. 10.1007/s10995-017-2266-3 - DOI - PubMed
    1. Dietz PM, Rizzo JH, England LJ, Callaghan WM, Vesco KK, Bruce FC, Bulkley JE, Sharma AJ, & Hornbrook MC (2012). Early term delivery and health care utilization in the first year of life. The Journal of Pediatrics, 161(2), 234–239. 10.1016/j.jpeds.2012.02.005 - DOI - PubMed
    1. Ferrara A, Weiss NS, Hedderson MM, Quesenberry CP Jr., Selby JV, Ergas IJ, Peng T, Escobar GJ, Pettitt DJ, & Sacks DA (2007). Pregnancy plasma glucose levels exceeding the American Diabetes Association thresholds, but below the National Diabetes Data Group thresholds for gestational diabetes mellitus, are related to the risk of neonatal macrosomia, hypogly-caemia and hyperbilirubinaemia. Diabetologia, 50(2), 298–306. 10.1007/s00125-006-0517-8 - DOI - PubMed
    1. Goldstein RF, Abell SK, Ranasinha S, Misso M, Boyle JA, Black MH, Li N, Hu G, Corrado F, Rode L, Kim YJ, Haugen M, Song WO, Kim MH, Bogaerts A, Devlieger R, Chung JH, & Teede HJ (2017). Association of gestational weight gain with maternal and infant outcomes: A systematic review and meta-analysis. JAMA, 317(21), 2207–2225. 10.1001/jama.2017.3635 - DOI - PMC - PubMed
    1. Han E, Abrams B, Sridhar S, Xu F, & Hedderson M (2016). Validity of self-reported pre-pregnancy weight and body mass index classification in an integrated health care delivery system. Paediatric and Perinatal Epidemiology, 30(4), 314–319. 10.1111/ppe.12286 - DOI - PubMed

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