Maternal body height is a stronger predictor of birth weight than ethnicity: analysis of birth weight percentile charts

Rochow, Niels; AlSamnan, M; So, Hon Yiu; Olbertz, Dirk; Pelc, Anna; Däbritz, Jan; Hentschel, Roland; Wittwer-Backofen, Ursula; Voigt, M

doi:10.1515/jpm-2017-0349

Cited by 26 publications

(21 citation statements)

References 18 publications

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“…This study finds a significant positive association between maternal height and birthweight in healthy nonsmoking pregnant women with a normal BMI. The regression coefficient of 15 g extra birthweight per extra centimeter maternal height is in line with previous studies [21,27]. Women with a height of 155 cm compared to women with a height of 185 cm give birth to newborns with a mean birthweight that is 450 g lower.…”

Section: Discussionsupporting

confidence: 91%

“…For instance, the number of inter-ethnic families increases in the Netherlands as well as in many other countries. Customization for ethnicity therefore can be problematic and using maternal height rather than ethnicity may be more feasible in the development and the daily use of birthweight charts [21].…”

Section: Discussionmentioning

confidence: 99%

“…LGA rates [21]. Maternal height therefore seems a stronger predictor for birthweight than ethnicity.…”

Section: Introductionmentioning

confidence: 94%

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Impact of maternal height on birthweight classification in singleton births at term: a cohort study in The Netherlands

Zeegers

Offerhaus

Peters

et al. 2020

The Journal of Maternal-Fetal & Neonatal Medicine

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Objective: To assess the association between maternal height and birthweight in a healthy population and to study the effect of maternal height on the classification of birthweight as small for gestational age (SGA) and large for gestational age (LGA). Methods: A descriptive, observational retrospective study was conducted in a low risk population in the Netherlands. The study included term singleton healthy nonsmoking pregnant women with normal body mass index (n ¼ 9291). We calculated the impact of maternal height on birthweight using multiple linear regression analyses with adjustment for gestational age, gender, and parity. We calculated the number of newborns classified as SGA and LGA using the cutoff point of the Dutch Birthweight chart, which does not customize for maternal height. Subsequently, we calculated the changes in classification from SGA and LGA to appropriate for gestational age (AGA) in case of customization for maternal height. Results: A significant association was found between maternal height and birthweight; 15.0 g higher birthweight per extra cm maternal height (95% confidence interval 13.8-16.1; p<.001; R 2 model ¼ 0.28). The incidence of SGA was 7.1% (range 17.4-2.0% form shortest to tallest maternal height category) and of LGA 8.4% (range 1.9-21.5% from shortest to tallest maternal height category). We calculated a shift in classification: 114 newborns (17.3%) in shorter (<167 cm) women previously SGA and 165 newborns (21.1%) in taller (>173 cm) women previously LGA were classified as AGA when controlling for maternal height. Conclusions: Maternal height is significantly associated with birthweight. Birthweight charts customized for maternal height change classification in one out of six SGA or LGA newborns at term.

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Section: Discussionsupporting

confidence: 91%

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Impact of maternal height on birthweight classification in singleton births at term: a cohort study in The Netherlands

Zeegers

Offerhaus

Peters

et al. 2020

The Journal of Maternal-Fetal & Neonatal Medicine

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“…Our results indicating a decreased PIGF level in the first trimester is associated with an increased risk of SGA later in pregnancy and is consistent with previous studies 34–36 . Also consistent with our results, previous studies have reported that a lower maternal height 37 also increases the risk of developing SGA in the third trimester.…”

Section: Discussionsupporting

confidence: 93%

Combining early (<11 weeks’ gestation) ultrasound features and maternal factors to predict small‐for‐gestational age neonates

Hanchard

Vries

Quinton

et al. 2020

Australas J Ultrason Med

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Objectives Placental related adverse pregnancy outcomes such as fetal growth restriction have significant short‐ and long‐term implications for both mother and fetus. This study aimed to determine if conventional and novel early first trimester ultrasound measures are associated with small for gestational age (SGA) neonates. In addition, we aimed to assess whether a combination of ultrasound measures, maternal characteristics and biochemistry improved the prediction of this adverse pregnancy outcome. Methods This was a prospective cohort study including ultrasound measurements: trophoblast thickness (TT), trophoblast volume (TV), mean uterine artery pulsatility index, crown‐rump length, fetal heart rate, mean sac diameter (MSD) and yolk sac diameter. Biochemical markers considered in the analysis were placental growth factor (PIGF), pregnancy – associated plasma protein A (PAPP‐A), beta human chorionic gonadotropin and alpha fetoprotein. Regression models were fitted for ultrasound parameters using multiples of the median (MoM). All measures were compared with normal birthweight (BW) ≥10th centile and SGA (BW < 10th centile). Logistic regression analysis was used to create a clinical prediction model for SGA based on maternal characteristics, ultrasound measurements at <11 weeks gestational age and maternal biochemistry collected at 10–14 weeks. Results As compared to pregnancies delivered of babies with normal BW (n = 1068), MoM values for TT, TV, MSD, PAPP‐A and PIGF were significantly reduced (P < 0.05) in pregnancies delivered of SGA babies (n = 73). The proposed logistic regression model includes maternal height, TV and PIGF resulting in an area under the receiver operator curve 0.70 (95% CI 0.63–0.76) for the prediction of SGA. Conclusion A significantly decreased TV, measured <11 weeks gestation, is predictive of BW < 10th centile. With addition of maternal height and PIGF, this three‐marker algorithm provided a reasonable predictive value for the development of SGA later in pregnancy.

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“…The analysis was adjusted for age, maternal BMI, maternal height, parity, maternal country of birth and smoking. These co-variables were chosen on the basis of findings in bivariate and correlational analyses, but also on information from published research (Cnattingius et al, 1993;Kallak et al, 2017;Rochow et al, 2018;Spada et al, 2018). IBM SPSS statistics version 26.0 (Chicago, IL, USA) was used for all statistical analyses.…”

Section: Statisticsmentioning

confidence: 99%

Pregnancy outcome in women with polycystic ovary syndrome in relation to second-trimester testosterone levels

Valdimarsdottir

Wikström

Kallak

et al. 2021

Reproductive BioMedicine Online

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Maternal body height is a stronger predictor of birth weight than ethnicity: analysis of birth weight percentile charts

Abstract: Maternal body height has a greater influence on BW than maternal ethnicity. The use of BW percentile charts for maternal height should be considered.

Cited by 26 publications

References 18 publications

Impact of maternal height on birthweight classification in singleton births at term: a cohort study in The Netherlands

Impact of maternal height on birthweight classification in singleton births at term: a cohort study in The Netherlands

Combining early (<11 weeks’ gestation) ultrasound features and maternal factors to predict small‐for‐gestational age neonates

Pregnancy outcome in women with polycystic ovary syndrome in relation to second-trimester testosterone levels

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