Self-reported Pre-pregnancy Weight Versus Weight Measured at First Prenatal Visit: Effects on Categorization of Pre-pregnancy Body Mass Index

Holland, Erica; Simas, Tiffany A. Moore; Curiale, Darrah K. Doyle; Liao, Xun; Waring, Molly E.

doi:10.1007/s10995-012-1210-9

Cited by 79 publications

(73 citation statements)

References 29 publications

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“…33,34,42 As reported in a prior study, self-reported weight was on average 1.8 kg lighter than weight measured at initiation of prenatal care. 48 Underestimation of pre-pregnancy weight will result in the overestimation of PPWR. While measuring pre-pregnancy weight is often not possible in the clinical setting, researchers should measure a woman's weight in the postpartum period to derive a better and more accurate measurement of PPWR.…”

Section: Discussionmentioning

confidence: 99%

The impact of sleep, stress, and depression on postpartum weight retention: A systematic review

Xiao¹,

Kroll‐Desrosiers²,

Goldberg³

et al. 2014

Journal of Psychosomatic Research

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Objective To review the impact of sleep, stress, and/or depression on postpartum weight retention. Methods We searched three electronic databases, PubMed, ISI Web of Science, and PsycInfo. Studies were included if they were published between January 1990 and September 2013 in English, measured sleep, stress, and/or depression in the postpartum period and assessed the association of these factors with postpartum weight retention. Two reviewers reviewed included articles and rated study quality using a modified version of the Downs and Black scale. Results Thirteen studies met our pre-defined eligibility criteria, reporting on 9 study samples. Two were cross-sectional studies and eleven were longitudinal studies. The study sample size ranged from 74 to 37,127. All four studies examining short sleep duration and postpartum weight retention reported a positive association. The four studies examining postpartum stress and weight retention reported non-significant associations only. Of 7 studies examining postpartum depression and weight retention, 3 reported non-significant associations, and 4 reported positive associations. Conclusion Research investigating the impact of postpartum sleep, stress, depression and weight retention is limited. Future longitudinal studies are needed.

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Section: Discussionmentioning

confidence: 99%

The impact of sleep, stress, and depression on postpartum weight retention: A systematic review

Xiao¹,

Kroll‐Desrosiers²,

Goldberg³

et al. 2014

Journal of Psychosomatic Research

Self Cite

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“…However, a recent study found that self-reported and clinically measured prepregnancy weight are highly correlated (r=0.99) and mean underreporting of weight by ~2 pounds did not differ by race/ethnicity, gestational age, or pre-pregnancy weight. 27 In a previous study derived from this patient population, categorization of pre-pregnancy BMI was identical for 87% of women when using self-reported pre-pregnancy weight or weight measured at first prenatal visit during the first trimester; 28 thus, potential misclassification is unlikely to alter our findings. Given the modest number of women with class II or III obesity with whom vacuum-assisted vaginal delivery was attempted (N=240) and the small number of obese women with attempted vacuum-assisted vaginal delivery that was not successful (N=9), we were unable to examine rates of attempted or successful vacuum-assisted vaginal delivery in relation to class of obesity.…”

Section: Discussionmentioning

confidence: 74%

Attempted and Successful Vacuum-Assisted Vaginal Delivery by Prepregnancy Body Mass Index

Lau

Leung

2017

Obstetrics &Amp; Gynecology

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Objective-To examine rates of attempted and successful vacuum-assisted vaginal delivery by pre-pregnancy body mass index (BMI).Methods-We conducted a retrospective cohort study of 2,084 women with singleton gestations needing operative delivery assistance and vacuum-eligible (fully dilated, ≥ +2 station, ≥34 weeks) using 2006-2014 in-patient records. Pre-pregnancy BMI was categorized as underweight (<18.5kg/m 2 ), normal weight (18.5kg/m 2 ≤BMI<25kg/m 2 ), overweight (25kg/m 2 ≤ BMI<30kg/ m 2 ), or obese (≥30kg/m 2 ). Logistic regression models estimated odds ratios (ORs) and 95% confidence intervals (CIs) of attempted and successful vacuum-assisted vaginal delivery by prepregnancy BMI adjusted for age, race, marital status, parity, diabetes, labor inductionaugmentation, episiotomy, gestational age, and infant birth weight.Results-Thirty-nine percent of women requiring delivery assistance and eligible for a vacuum were overweight or obese, 79% had vacuum attempts, and 95.3% of attempted vacuum-assisted vaginal deliveries were successful. Compared to women who were normal weight pre-pregnancy (82.8%), women who were overweight or obese were less likely to have vacuum attempted (75.8%, OR=0.71, 95% CI 0.53-0.96 and 71.2%, OR=0.53, 95% CI 0.39-0.74, respectively). Among women with attempted vacuum-assisted vaginal delivery, successful delivery did not differ by pre-pregnancy BMI (92.6%, OR=0.54, 95% CI 0.21-1.37 for underweight; 94.5%, OR=1.07, 95% CI 0.57-2.00 for overweight; 96.3%, OR=1.09, 95% CI 0.51-2.33 for obese, versus 95.6% among normal weight women). HHS Public AccessAuthor manuscript Obstet Gynecol. Author manuscript; available in PMC 2018 February 01. Author Manuscript Author ManuscriptAuthor Manuscript Author ManuscriptConclusions-Among women in need of operative delivery assistance, pre-pregnancy obesity was associated with lower likelihood of attempted vacuum-assisted vaginal delivery, but if attempted, success rates were similar to rates among normal weight women. With significant morbidity of second stage cesarean delivery in obese women, research should examine whether vacuum-assisted vaginal delivery may be appropriate for additional obese patients. PrecisAmong women needing operative delivery assistance, obese women have a lower likelihood of a vacuum-assisted delivery attempt, but if attempted, have similar rates of success.

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“…On the other hand, some investigators have observed that self-reported pre-pregnancy weight and weight measured at the first prenatal visit result in identical classification of pre-pregnancy BMI status. [30][31][32] It is common to evaluate self-reported pre-pregnancy data in order to avoid possible changes in weight occurring during the first trimester of pregnancy. Most women come for their first antenatal visit early in their pregnancy, that is, before the 12th week.…”

Section: Discussionmentioning

confidence: 99%

Retrospective analysis of age-adjusted body mass index among pre-pregnant women in the Lithuanian urban area during three decades

et al. 2016

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BackgroundThe prevalence of maternal obesity at the beginning of pregnancy is increasing. However, there are some studies reporting the stabilisation of obesity epidemic or even the downward trend in the general population.ObjectiveTo determine the prevalence of overweight and obesity in Lithuanian pre-pregnant women during 3 decades.MethodsThis observational retrospective study included a sample of 2827, women aged 18–44 years who gave birth in 1987–1989, 1996–1997 and 2007–2010: 861 (30.5%), 995 (35.2%) and 971 (34.3%), respectively. All women were divided into groups by body mass index (BMI) calculated from self-reported weight and height, and age reported during the first antenatal visit. Quantitative parametric variables were expressed as mean and SD; qualitative variables, as absolute numbers (n) and percentage (%). For parametric data, analysis of variance (ANOVA) was used. Differences were considered statistically significant at p<0.05.ResultsThe prevalence of overweight and obesity among women aged 18–24 years decreased from 20.9% in 1987–1989 to 9.5% in 1996–1997 but increased to 15.7% in 2007–2010; among women aged 25–34 years, decreased from 35.5% in 1987–1989 to 23% in 1996–1997 and to 22.4% in 2007–2010; and among women aged 35–44 years decreased from 64.9% in 1987–1989 to 34% in 1996–1997 but increased to 45.3% in 2007–2010. BMI increased with an increasing age (r=0.254, p<0.05). Analysis by separate periods (1987–1989, 1996–1997 and 2007–2010) revealed a positive correlation between BMI and age at the first antenatal visit in all periods (r=0.325, p<0.01; r=0.266, p<0.01; and r=0.210, p<0.01, respectively).ConclusionsThe prevalence of overweight and obesity among pre-pregnant women tended to decrease in the Lithuanian urban area during 3 decades. A slight increase in overweight and obesity documented in 2007–2010 compared with 1996–1997 most likely was caused by older maternal age.

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Self-reported Pre-pregnancy Weight Versus Weight Measured at First Prenatal Visit: Effects on Categorization of Pre-pregnancy Body Mass Index

Cited by 79 publications

References 29 publications

The impact of sleep, stress, and depression on postpartum weight retention: A systematic review

The impact of sleep, stress, and depression on postpartum weight retention: A systematic review

Attempted and Successful Vacuum-Assisted Vaginal Delivery by Prepregnancy Body Mass Index

Retrospective analysis of age-adjusted body mass index among pre-pregnant women in the Lithuanian urban area during three decades

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