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Individualized sex-specific birth weight percentiles for gestational age based on maternal height and weight.
Voigt, Manfred; Rochow, Niels; Landau-Crangle, Erin; Meyer-Kahrweg, Lena Marie; Olbertz, Dirk M; Kunze, Mirjam; Nikischin, Werner; Wittwer-Backofen, Ursula; Rochow, Markus; Däbritz, Jan; Hentschel, Roland.
Affiliation
  • Voigt M; Department of Gynecology and Obstetrics, University of Freiburg School of Medicine, Freiburg, Germany.
  • Rochow N; Biological Anthropology, Medical Faculty, University of Freiburg, Freiburg, Germany.
  • Landau-Crangle E; Department of Pediatrics, Paracelsus Medical University, Nuremberg, Germany.
  • Meyer-Kahrweg LM; Department of Pediatrics, Rostock University Medical Center, Rostock, Germany.
  • Olbertz DM; Department of Pediatrics, McMaster University, Hamilton, ON, Canada.
  • Kunze M; School of Medicine, Queen's University, Kingston, ON, Canada.
  • Nikischin W; Department of Pediatrics, Rostock University Medical Center, Rostock, Germany.
  • Wittwer-Backofen U; Neonatology, Clinic Südstadt, Rostock, Germany.
  • Rochow M; Department of Gynecology and Obstetrics, University of Freiburg School of Medicine, Freiburg, Germany.
  • Däbritz J; Institute of Emergency Medicine, University of Kiel, Kiel, Germany.
  • Hentschel R; Biological Anthropology, Medical Faculty, University of Freiburg, Freiburg, Germany.
J Perinat Med ; 49(1): 94-103, 2020 Aug 31.
Article in En | MEDLINE | ID: mdl-32866126
ABSTRACT

OBJECTIVES:

The maternal body size affects birth weight. The impact on birth weight percentiles is unknown. The objective of the study was to develop birth weight percentiles based on maternal height and weight.

METHODS:

This observational study analyzed 2.2 million singletons from the German Perinatal Survey. Data were stratified into 18 maternal height and weight groups. Sex-specific birth weight percentiles were calculated from 31 to 42 weeks and compared to percentiles from the complete dataset using the GAMLSS package for R statistics.

RESULTS:

Birth weight percentiles not considering maternal size showed 22% incidence of small for gestational age (SGA) and 2% incidence of large for gestational age (LGA) for the subgroup of newborns from petite mothers, compared to a 4% SGA and 26% LGA newborns from big mothers. The novel percentiles based on 18 groups stratified by maternal height and weight for both sexes showed significant differences between identical original percentiles. The differences were up to almost 800 g between identical percentiles for petite and big mothers. The 97th and 50th percentile from the group of petite mothers almost overlap with the 50th and 3rd percentile from the group of big mothers.

CONCLUSIONS:

There is a clinically significant difference in birth weight percentiles when stratified by maternal height and weight. It could be hypothesized that birth weight charts stratified by maternal anthropometry could provide higher specificity and more individual prediction of perinatal risks. The new percentiles may be used to evaluate estimated fetal as well as birth weight.
Subject(s)
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Full text: 1 Database: MEDLINE Main subject: Birth Weight / Body Height / Gestational Age Type of study: Observational_studies / Prognostic_studies Limits: Female / Humans / Male / Newborn / Pregnancy Country/Region as subject: Europa Language: En Year: 2020 Type: Article

Full text: 1 Database: MEDLINE Main subject: Birth Weight / Body Height / Gestational Age Type of study: Observational_studies / Prognostic_studies Limits: Female / Humans / Male / Newborn / Pregnancy Country/Region as subject: Europa Language: En Year: 2020 Type: Article