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. 2018 Nov 5;16(1):201.
doi: 10.1186/s12916-018-1189-1.

Gestational weight gain charts for different body mass index groups for women in Europe, North America, and Oceania

Susana Santos  1   2 Iris Eekhout  3   4 Ellis Voerman  1   2 Romy Gaillard  1   2 Henrique Barros  5   6 Marie-Aline Charles  7   8 Leda Chatzi  9   10   11 Cécile Chevrier  12 George P Chrousos  13 Eva Corpeleijn  14 Nathalie Costet  12 Sarah Crozier  15 Myriam Doyon  16 Merete Eggesbø  17 Maria Pia Fantini  18 Sara Farchi  19 Francesco Forastiere  19 Luigi Gagliardi  20 Vagelis Georgiu  10 Keith M Godfrey  15   21 Davide Gori  18 Veit Grote  22 Wojciech Hanke  23 Irva Hertz-Picciotto  24 Barbara Heude  7   8 Marie-France Hivert  16   25   26 Daniel Hryhorczuk  27 Rae-Chi Huang  28 Hazel Inskip  15   21 Todd A Jusko  29 Anne M Karvonen  30 Berthold Koletzko  22 Leanne K Küpers  14   31   32 Hanna Lagström  33 Debbie A Lawlor  31   32 Irina Lehmann  34 Maria-Jose Lopez-Espinosa  35   36 Per Magnus  37 Renata Majewska  38 Johanna Mäkelä  39 Yannis Manios  40 Sheila W McDonald  41 Monique Mommers  42 Camilla S Morgen  43   44 George Moschonis  45 Ľubica Murínová  46 John Newnham  47 Ellen A Nohr  48 Anne-Marie Nybo Andersen  44 Emily Oken  25 Adriëtte J J M Oostvogels  49 Agnieszka Pac  38 Eleni Papadopoulou  50 Juha Pekkanen  30   51 Costanza Pizzi  52 Kinga Polanska  23 Daniela Porta  19 Lorenzo Richiardi  52 Sheryl L Rifas-Shiman  25 Nel Roeleveld  53 Loreto Santa-Marina  36   54   55 Ana C Santos  5   6 Henriette A Smit  56 Thorkild I A Sørensen  44   57 Marie Standl  58 Maggie Stanislawski  59 Camilla Stoltenberg  60   61 Elisabeth Thiering  58   62 Carel Thijs  42 Maties Torrent  63 Suzanne C Tough  41   64 Tomas Trnovec  65 Marleen M H J van Gelder  53   66 Lenie van Rossem  56 Andrea von Berg  67 Martine Vrijheid  36   68   69 Tanja G M Vrijkotte  49 Oleksandr Zvinchuk  70 Stef van Buuren  3   71 Vincent W V Jaddoe  72   73   74
Affiliations

Gestational weight gain charts for different body mass index groups for women in Europe, North America, and Oceania

Susana Santos et al. BMC Med. .

Abstract

Background: Gestational weight gain differs according to pre-pregnancy body mass index and is related to the risks of adverse maternal and child health outcomes. Gestational weight gain charts for women in different pre-pregnancy body mass index groups enable identification of women and offspring at risk for adverse health outcomes. We aimed to construct gestational weight gain reference charts for underweight, normal weight, overweight, and grades 1, 2 and 3 obese women and to compare these charts with those obtained in women with uncomplicated term pregnancies.

Methods: We used individual participant data from 218,216 pregnant women participating in 33 cohorts from Europe, North America, and Oceania. Of these women, 9065 (4.2%), 148,697 (68.1%), 42,678 (19.6%), 13,084 (6.0%), 3597 (1.6%), and 1095 (0.5%) were underweight, normal weight, overweight, and grades 1, 2, and 3 obese women, respectively. A total of 138, 517 women from 26 cohorts had pregnancies with no hypertensive or diabetic disorders and with term deliveries of appropriate for gestational age at birth infants. Gestational weight gain charts for underweight, normal weight, overweight, and grade 1, 2, and 3 obese women were derived by the Box-Cox t method using the generalized additive model for location, scale, and shape.

Results: We observed that gestational weight gain strongly differed per maternal pre-pregnancy body mass index group. The median (interquartile range) gestational weight gain at 40 weeks was 14.2 kg (11.4-17.4) for underweight women, 14.5 kg (11.5-17.7) for normal weight women, 13.9 kg (10.1-17.9) for overweight women, and 11.2 kg (7.0-15.7), 8.7 kg (4.3-13.4) and 6.3 kg (1.9-11.1) for grades 1, 2, and 3 obese women, respectively. The rate of weight gain was lower in the first half than in the second half of pregnancy. No differences in the patterns of weight gain were observed between cohorts or countries. Similar weight gain patterns were observed in mothers without pregnancy complications.

Conclusions: Gestational weight gain patterns are strongly related to pre-pregnancy body mass index. The derived charts can be used to assess gestational weight gain in etiological research and as a monitoring tool for weight gain during pregnancy in clinical practice.

Keywords: Charts; Pregnancy; References; Weight gain.

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Conflict of interest statement

Ethics approval and consent to participate

Cohorts were approved by their local institutional ethical review boards (information per cohort is given in Additional file 1: Table S10) and consent to participate was obtained from participants.

Consent for publication

Not applicable.

Competing interests

Keith M. Godfrey has received reimbursement for speaking at conferences sponsored by companies selling nutritional products and is part of an academic consortium that has received research funding from Abbott Nutrition, Nestec, and Danone. Debbie A. Lawlor has received support from Roche Diagnostics and Medtronic in relation to biomarker research that is not related to the research presented in this paper. Andrea von Berg has received reimbursement for speaking at symposia sponsored by Nestlé and Mead Johnson, who partly financially supported the 15 years follow-up examination of the GINIplus study. The rest of the authors reported no conflicts of interest.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Figures

Fig. 1
Fig. 1
Selected percentiles of weight gain for gestational age for maternal pre-pregnancy underweight (a), normal weight (b), overweight (c), obesity grade 1 (d), obesity grade 2 (e) and obesity grade 3 (f)
Fig. 2
Fig. 2
Equation for the calculation of pre-pregnancy body mass index-specific gestational weight gain z scores based on a Box-Cox t modela. awhere Y is weight gain at a certain gestational age, L is lambda, M is mu, and S is sigma. The random variable Z is assumed to follow a t distribution with degrees of freedom, Tau > 0, treated as a continuous parameter. The parameters of our Box-Cox t model for each pre-pregnancy body mass index group are provided for the rounded gestational ages. This equation can be applied on data using the y2z function of the AGD package in R. The function will allow the calculation of z scores for the exact gestational age by extrapolating the parameters. For applying the equation or function, weight gain must be > 0, because the model cannot deal with negative values. In order to fit the Box-Cox t model, parameters were calculated based on weight gain + 20 kg, and thus 20 kg must be added to weight gain to be able to use our parameters. The constant of 20 kg was chosen since − 20 kg is an extremely low value for weight change during pregnancy. After adding the 20 kg, weight gain must be > 0; otherwise, the equation or function using our Box-Cox t model parameters cannot be applied for the remaining ≤ 0 values
Fig. 3
Fig. 3
Selected percentiles of weight gain for gestational age in women without any pregnancy complication for maternal pre-pregnancy underweight (a), normal weight (b), overweight (c), obesity grade 1 (d), obesity grade 2 (e) and obesity grade 3 (f)

References

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