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. 2020 Aug 28;13(4):333–348. doi: 10.1159/000508975

Reappraisal of Gestational Weight Gain Recommendations in Obese Pregnant Women: A Population-Based Study of 337,590 Births

Roland Devlieger a,b,c,*, Lieveke Ameye a,d, Tinne Nuyts a, Régine Goemaes e, Annick Bogaerts a,f
PMCID: PMC7590778  PMID: 32862185

Abstract

Background and Objective

Maternal obesity is an epidemic health problem that is aggravated by excessive gestational weight gain (GWG) and postpartum weight retention. Current US Institute of Medicine (now US National Academy of Medicine) guidelines (2009) for GWG need to be evaluated against the current rise in obesity in the general and pregnant population. We wanted to study the relation between GWG and pregnancy and birth outcomes and to relate this to the current recommendations for GWG.

Methods

Population-based study. We performed an epidemiological analysis in a cohort of Belgian pregnant women with singleton live births at term (≥37 weeks) between 2009 and 2014 (n = 337,590). Logistic regression was used to determine the optimal GWG in relation to relevant pregnancy and birth outcomes.

Results

The prevalence of maternal obesity significantly increased from 10.3% in 2009 to 11.4% in 2014. The mean (SD) body mass index at the start of the pregnancy significantly increased from 23.9 (4.5) in 2009 to 24.2 (4.6) in 2014. Excessive GWG was frequent, especially in overweight (56.8%) and obese (52.9%) pregnant women. In the logistic regression model, the amount of GWG associated with the lowest incidence of both large-for-gestational-age and small-for-gestational-age infants was 21 kg in underweight women, 14 kg in normal weight, 8 kg in overweight, 0 kg in obese class I, −4 kg in obese class II and −5 kg in obese class III.

Conclusion

The prevalence of maternal obesity has risen in Belgium between 2009 and 2014. Current GWG guidelines, based on historic observational data, are probably too liberal for class II and III obese women in which better outcomes are being predicted for lower weight gain than recommended.

Keywords: Gestational weight gain, Recommendations, Obesity classes

Introduction

Paralleling the global epidemic of obesity figures in the general population, the incidence of maternal obesity (body mass index, BMI, >30 at the start of pregnancy) has been rising in recent decades [1]. While most European countries do not systematically report obesity figures in their pregnant population, the prevalence of maternal obesity varies from 7 to 25% and seems strongly correlated with social and educational inequalities [2, 3].

Obesity during pregnancy represents an important preventable risk factor for adverse pregnancy outcomes and has a negative impact on long-term health for both mothers and their offspring [4, 5, 6, 7]. These effects are often aggravated by a high incidence of abnormal glucose tolerance and excessive gestational weight gain (GWG) in this group. Guidelines for GWG have been developed by the US National Academy of Medicine (NAM) and were revised in 2009 [8]. These guidelines were largely based on epidemiological data gathered 2 decades ago and do not account for the grades of obesity.

Few studies have reported on the evolution of maternal obesity and its consequences in recent years [9]. In the USA, 31.8% of women aged 20–39 years were obese in 2011–2012 [10]. Rates of overall obesity, in particular class III obesity, have increased significantly between 2005 and 2014 [1]. Unfortunately, nationwide statistics on maternal obesity are not available. Recent studies of American children and adolescents report obesity in 17.0%, with 5.8% being extremely obese. Since the 1980s, obesity has been increasing in adolescents; however, in prepubescent children rates appear to be falling [11].

European figures for obesity have traditionally been lower [3]. In Belgium, nearly 1 in 2 adults are overweight, and 14% are obese. The overall prevalence of female obesity is 14.0%, although this appears to be age specific: 3.5% (18–24 years), 14.5% (25–34 years) and 12.5% (35–44 years). Between 1997 and 2013, adult obesity has increased by 3%, with the mean BMI increasing from 24.7 to 25.4. In children (2–17 years), 20% are overweight, a 5% increase since 1997. The highest prevalence for obesity (11%) is in children aged 2–4 years [12].

In Flanders, the most northern region of Belgium, perinatal data have been systematically recorded for all deliveries since 1989. Since 2009, pregestational weight and height as well as weight at delivery were added to the recorded items. Hence, in 2009 the prevalence of women with overweight and obesity was 21.2 and 10%, respectively [2]. We showed an increase in the prevalence of overweight and obese women from 25.4 to 31.4% between 2 consecutive pregnancies, and in the group of women with obesity at the onset of the first pregnancy, 28.7% gained 2 or more BMI units at the start of the second pregnancy compared with 15% in the normal weight women [13]. Globally, nearly 50% of women have weight gain during pregnancy above the NAM guidelines [14] leading to an increased risk for postpartum weight retention [15, 16]. On the other hand, weight loss in obese pregnant women was associated with reduced perinatal risks but not with the rate of low birth weight or small-for-gestational-age (SGA) neonates in obese women from class III [17]. In this study, we therefore wanted to evaluate the relation between GWG and relevant perinatal outcomes in the light of the NAM recommendations, especially for obese pregnant women (2009–2014) to prevent maternal obesity in the longer run.

Subjects and Methods

Subjects

Since 1996, the Flemish Study Centre for Perinatal Epidemiology (SPE) has been routinely registering perinatal data from all deliveries in Flanders. Perinatal data from all maternity units are collated centrally. Data are subjected to an error detection program, checked for accuracy and completeness with extreme (considered outliers) or missing values confirmed with individual maternity units where appropriate [18]. Definitions used for stillbirths or live births of infants with a weight of ≥500 g are in agreement with those from the World Health Organization and the Fédération Internationale de Gynécologie et d'Obstétrique [19]. Data compiled included maternal and gestational age (completed weeks) at delivery, maternal height and weight before pregnancy and weight at delivery (since 2009), parity, hypertension in pregnancy, diabetes in pregnancy, mode of delivery, birth weight, congenital malformations and perinatal mortality.

We performed an epidemiological analysis of women delivering a singleton term (≥37 weeks) live birth between 2009 and 2014. We included all 371,117 term singleton deliveries from 2009 to 2014 (91.8%). We excluded multiple pregnancies as these pregnancies have specific guidelines regarding GWG. We furthermore excluded 1,848 perinatal deaths because of missing values for BMI and GWG. Ranges of maternal height (1.35–1.95 m), prepregnancy weight (35–170 kg), maternal weight at delivery (40–185 kg) and GWG (–25 to +50 kg) were found to be realistic ranges for inclusion in the analysis. After excluding missing values for all relevant variables of interest, a total of 337,590 (83.6%) pregnancies were included in the analysis. For the multivariate analysis, we excluded patients developing preeclampsia and gestational diabetes, as fluid expansion and dietary interventions, respectively, may be a confounding factor for weight change (n = 9,628).

Outcome Variables

The BMI was categorized according to the World Health Organization [20] and the NAM [8] matched cutoffs, that is, for underweight women BMI <18.5, for normal weight 18.5–24.9, for overweight 25–29.9, for obese class I 30–34.9, for obese class II 35–39.9 and for obese class III ≥40. Gestational weight change was calculated by subtracting the maternal prepregnancy weight from the weight at delivery and was categorized by pregestational BMI in accordance with the 2009 NAM guidelines for adequate GWG (for underweight women, adequate GWG was defined as between 12.5 and 18 kg, for normal weight women between 11.5 and 16 kg, for overweight between 7 and 11 kg and for the obese between 5 and 9 kg). Prepregnancy weight and height were self-reported during pregnancy. Maternal weight at delivery was measured in the delivery room or, if not available, the weight at the last prenatal visit was used. In case of extreme values (considered outliers) or missing values, the maternity units were contacted for confirmation or correction.

We considered both maternal and neonatal outcomes. Maternal outcomes of interest included rates of gestational hypertension and emergency cesarean section. The diagnosis of gestational hypertension is defined according to the criteria of the International Society for the Study of Hypertension in Pregnancy as a systolic blood pressure reading ≥140 mm Hg and/or a diastolic blood pressure ≥90 mm Hg (average of at least 2 measurements taken at least 15 min apart) [21].

Neonatal parameters of interest included macrosomia (≥4,000 g), being large for gestational age (LGA, >90th percentile), SGA (<10th percentile), low birth weight (<2,500 g) and admission to the neonatal intensive care unit. SGA and LGA were defined using regional population-specific references [2, 13].

Statistical Methods

In univariate analysis, to assess differences in categorical variables, the likelihood ratio χ2and Mantel-Haenszel χ2tests were used. To assess differences in continuous variables, the t test was used. The Wald 95% confidence limits of a proportion were calculated.

For the multivariate analyses, we only considered 7 of the 8 outcomes as we excluded patients with gestational diabetes (n = 9,628). For each of the 7 outcomes, we built a logistic regression model to assess the impact of gestational weight change on the outcome adjusting for parity, maternal age, mode of conception (spontaneous, assisted), gestational age and year of delivery. The adjusted odds ratios (aOR) were reported. The logistic regression models were performed twice: once with gestational weight change as a categorical variable and once as a continuous variable. For multiparous women of maternal age of 30 years, spontaneous conception, gestational age of 39 weeks and delivery in 2014, we calculated the predicted probability on an adverse outcome for each possible value of gestational weight change. Those predicted probabilities have been visualized in a graph. The optimal GWG was considered as the point where the curves of SGA and LGA cross. All statistical analyses were performed with SAS 9.4.

Results

BMI and GWG 2009–2014

The prevalence of maternal obesity increased from 10.3% in 2009 to 11.4% in 2014 (p < 0.001; Fig. 1A). Concurrently, the proportion of women starting pregnancy with a healthy BMI decreased from 62.9 to 61.1% (p < 0.001).

Fig. 1.

Fig. 1

Body mass index (BMI) and gestational weight gain (GWG) from 2009 to 2014. APrevalence of maternal obesity. BMean BMI. CMean GWG.

Within the obese pregnant population (n = 36,791), most (72%) were moderately obese (class I, BMI 30–34.9), 21% were extremely obese (class II, BMI 35–39.9) and 7% morbidly obese (class III, BMI ≥40).

The mean BMI increased from 23.9 (4.5 SD) in 2009 to 24.2 (4.6 SD) in 2014 (p < 0.001; Fig. 1B). Maternal age and parity both increased during the study period: mean maternal age from 29.6 years (4.8 SD) to 30.2 years (4.7 SD), and the proportion of parous women from 53.2% (confidence interval, CI, 52.7–53.6) to 56.3% (CI 55.9–56.7). Obese pregnant women were older, were more often multiparous, and pregnancy more often resulted from assisted reproduction (Table 1).

Table 1.

Univariate analysis: differences between categories of gestational weight gain (less than recommended, as recommended, more as recommended) in terms of year of delivery, maternal characteristics and perinatal outcomes, stratified by body mass index classes (underweight, normal, overweight, obese class I, obese class II, obese class III)(n = 337,590)

Underweight (n = 16,841)
Normal ( n = 208,368)
Overweight ( n = 75,590)
less than recom. ( n = 7,665; 46%) as recom. ( n = 6,888; 41%) more than recom. ( n = 2,288; 14%) p value less vs. as recom. p value more vs. as recom. less than recom. ( n = 69,513; 33%) as recom. ( n = 88,232; 42%) more than recom. ( n = 50,983; 24%) p value less vs. as recom. p value more vs. as recom less than recom. ( n = 9,814; 13%) as recom. ( n = 22,836; 30%) more than recom. ( n = 42,940; 57%) p value less vs. as recom. p value more vs. as recom.
Maternal age, % 0.002 <0.001 0.02 <0.001 0.26 <0.001
 <20 years 4.1 3.7 6.2 1.9 1.3 2.0 1.4 1.1 1.3
 20–24.9 years 17.1 20.0 26.2 12.1 10.8 14.8 12.4 11.5 13.0
 25–29.9 years 35.6 35.6 35.6 36.4 38.1 37.9 34.4 35.7 37.3
 30–34.9 years 32.8 30.3 23.6 35.4 36.3 33.3 32.2 34.0 33.7
 35–39.9 years 8.7 9.3 7.4 12.0 11.7 10.6 15.5 14.5 12.4
 ≥40 years 1.8 1.2 1.0 2.3 1.8 1.6 4.2 3.3 2.3
 Mean 29.0 28.7 27.6 30.0 30.0 29.5 30.5 30.4 29.9
  [SD] [5.0) [4.9) [5.1) [4.8) [4.5) [4.7) [5.1) [4.9) [4.7)
Parity, % <0.001 <0.001 <0.001 <0.001 <0.001 <0.001
 Nulliparae 47.6 51.6 60.0 42.1 48.2 55.3 29.7 33.3 46.1
 Multiparae 52.5 48.4 40.0 57.9 51.8 44.7 70.3 66.7 53.9
Conception, % 0.004 0.07
 Spontaneous 94.1 95.2 96.1 94.4 94.2 94.9 0.17 <0.001 94.9 94.8 94.4 0.73 0.07
 Assisted 5.9 4.8 3.9 5.6 5.8 5.2 5.2 5.2 5.6
Gestational age, % <0.001 <0.001 <0.001 <0.001 <0.001 <0.001
 37 weeks 11.2 8.1 7.5 8.6 6.5 5.5 8.6 7.4 6.4
 38 weeks 24.1 20.7 17.1 21.0 18.3 16.7 22.3 20.0 18.0
 39 weeks 32.7 31.3 31.4 31.8 31.1 29.0 30.0 29.9 28.9
 40 weeks 24.7 31.1 30.9 28.9 32.1 34.2 27.9 31.1 32.8
 41 weeks 7.1 8.7 12.8 9.4 11.7 14.1 10.8 11.1 13.5
 42 weeks 0.2 0.2 0.3 0.3 0.3 0.4 0.5 0.5 0.4
 43 weeks <0.1 0.0 0.0 <0.1 <0.1 <0.1 0.0 <0.1 <0.1
Diabetes in pregnancy, % 1.6 1.1 0.8 0.003 0.36 3.0 1.5 1.3 <0.001 <0.001 7.0 4.4 2.5 <0.001 <0.001
Hypertenson in pregnancy, % 1.4 1.8 3.2 0.04 <0.001 2.1 2.7 4.4 <0.001 <0.001 3.4 4.0 6.3 0.004 <0.001
Induction of labor, % 17.8 21.2 26.4 <0.001 <0.001 20.1 22.1 27.6 <0.001 <0.001 26.3 25.0 28.6 0.02 <0.001
Method of delivery, % 0.03 <0.001 <0.001 <0.001 <0.001 <0.001
 Vaginal 87.7 86.8 84.2 85.3 84.6 81.7 82.7 80.5 77.8
 Cesarean section, planned 7.8 7.7 7.9 9.1 8.8 9.1 10.7 11.7 11.7
 Cesarean section, emergency 4.5 5.5 7.9 5.6 6.6 9.2 6.6 7.8 10.5
LBW (≤2,500 g), % 6.4 3.1 2.1 <0.001 0.01 3.2 1.6 1.2 <0.001 <0.001 2.8 1.8 1.2 <0.001 <0.001
SGA, % 23.6 13.1 10.0 <0.001 <0.001 14.1 8.5 6.2 <0.001 <0.001 13.6 9.5 6.0 <0.001 <0.001
Macrosomia (≥4,000g),% 1.8 4.2 7.6 <0.001 <0.001 4.6 8.5 13.7 <0.001 <0.001 6.6 9.5 15.6 <0.001 <0.001
LGA, % 2.1 4.7 8.9 <0.001 <0.001 4.9 8.8 14.5 <0.001 <0.001 6.8 9.7 16.1 <0.001 <0.001
Mean birth weight 3,109 3,280 3,373 3,276 3,409 3,515 3,330 3,419 3,538
 (SD), g [406) [417) [435) [424) [426) [447) [443) [443) [457)
Gender, % <0.001 <0.001 0.02 <0.001
 Male 48.4 51.9 50.6 <0.001 0.28 49.3 51.4 53.4 48.7 50.1 52.8
 Female 51.6 48.1 49.4 50.7 48.6 46.6 51.3 49.9 47.2
Admission to NICU, % 1.4 1.2 1.4 0.32 0.45 1.3 1.3 1.6 0.35 <0.001 1.6 1.5 1.6 0.39 0.24
Maternal age, % 0.19 <0.001 0.52 0.001 0.11 0.14
 <20 years 0.9 0.8 1.1 0.9 0.7 1.2 0.5 0.9 0.9
 20–24.9 years 13.4 11.9 13.9 12.6 12.2 14.6 14.0 12.0 14.4
 25–29.9 years 33.5 33.9 36.7 33.9 35.4 35.7 35.5 32.4 33.6
 30–34.9 years 31.6 33.3 32.4 31.7 33.4 31.5 30.7 33.0 30.7
 35–39.9 years 16.7 15.7 13.1 16.7 14.0 13.6 14.7 17.0 16.1
 >40 years 4.0 4.4 2.9 4.1 4.3 3.5 4.6 4.7 4.2
 Mean 30.5 30.7 30.0 30.6 30.5 30.1 30.4 30.9 30.4
  (SD] (5.2) (5.0) (4.9) (5.1) (5.0) (5.0) (5.1) (5.2) (5.2)
Parity, % <0.001 <0.001 0.45 <0.001
 Nulliparae 26.7 29.9 42.2 30.6 31.7 41.5 30.4 34.5 43.5 0.08 <0.001
 Multiparae 73.3 70.2 57.8 69.4 68.4 58.5 69.6 65.5 56.5
Conception, % 0.68 0.0 1 0.40 0.28
 Spontaneous 94.3 94.1 93.2 92.7 93.4 92.7 93.8 92.8 92.9 0.44 0.91
 Assisted 5.7 5.9 6.8 7.3 6.6 7.4 6.2 7.2 7.1
Gestational age, % <0.001 <0.001 0.45 0.006 0.09 0.93
 37 weeks 9.0 8.0 7.5 8.9 10.1 8.7 10.7 9.5 9.7
 38 weeks 23.1 21.6 20.2 24.1 21.9 21.4 26.2 23.4 23.2
 39 weeks 28.7 28.7 27.5 29.0 27.6 27.5 25.5 27.0 27.1
 40 weeks 28.4 29.4 31.0 26.8 28.5 27.4 26.7 26.9 25.5
 41 weeks 10.5 11.8 13.3 10.8 11.6 14.5 10.7 12.7 14.1
 42 weeks 0.4 0.6 0.5 0.4 0.3 0.6 0.3 0.5 0.3
 43 weeks 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
Diabetes in pregnancy, % 9.4 7.1 4.7 <0.001 <0.001 11.2 9.5 6.5 0.07 <0.001 15.8 12.8 9.8 0.08 0.06
Hypertenson in pregnancy, % 5.2 7.0 10.4 <0.001 <0.001 11.0 12.5 15.1 0.15 0.005 16.0 17.7 22.4 0.36 0.02
Induction of labor, % 30.9 30.0 32.6 0.31 <0.001 32.9 34.0 36.3 0.46 0.08 36.0 34.8 38.1 0.59 0.16
Method of delivery, % 0.67 <0.001 0.004 <0.001 0.25 0.02
 Vaginal 76.6 76.5 72.0 74.1 70.4 66.2 67.2 63.5 58.8
 Cesarean section, planned 15.1 14.7 14.5 16.6 17.3 17.9 19.0 20.4 19.8
 Cesarean section, emergency 8.3 8.8 13.5 9.3 12.3 15.9 13.8 16.1 21.4
LBW (≤2,500 g), % 2.3 1.6 1.2 0.01 0.006 2.0 1.5 1.5 0.20 0.85 3.3 1.5 1.0 0.0 1 0.43
SGA, % 10.5 8.5 5.6 <0.001 <0.001 10.6 7.0 6.1 <0.001 0.15 8.5 6.9 4.9 0.23 0.09
Macrosomia (>4,000 g), % 9.0 11.5 18.1 <0.001 <0.001 10.9 14.6 20.6 <0.001 <0.001 11.1 21.4 23.9 <0.001 0.21
LGA, % 9.5 12.5 19.1 <0.001 <0.001 12.0 16.0 22.8 <0.001 <0.001 14.5 23.8 28.2 <0.001 0.048
Mean birth weight 3,387 3,461 3,568 3,421 3,512 3,601 3,451 3,597 3,653
 (SD), g (455) (457) (474) (468) (471) (509) (479) (512) (526)
Gender, % 0.004 0.002 0.22 0.62 0.31 0.99
 Male 48.2 51.1 53.2 49.2 51.1 51.8 48.9 51.4 51.4
 Female 51.8 49.0 46.8 50.8 48.9 48.2 51.1 48.6 48.6
Admission to NICU, % 1.8 1.9 2.2 0.60 0.23 1.7 2.2 2.5 0.25 0.55 2.5 2.3 3.7 0.78 0.10

US IOM 2009 guidelines are used for the definition of less than, as and more than recommended gestational weight gain, that is, for underweight women <12.5 kg, between 12.5 and 18 kg and more than 18 kg, for normal weight women <11.5 kg, between 11.5 and 16 kg and more than 16 kg, for overweight women <7 kg, between 7 and 11 kg and more than 11 kg, for obese women in all categories <5 kg, between 5 and 9 kg and more than 9 kg, respectively. LBW, low birth weight (<2,500 g); SGA, small for gestational age; LGA, large for gestational age; NICU, neonatal intensive care unit.

Gaining weight within the 2009 NAM GWG recommendations was globally poor in the total population (38.0%) and was the highest in the normal weight group (42.3%) and lowest in the overweight (30.2%) and obese groups (28.2%).

The mean GWG in the total population from 2009 to 2014 decreased over the years and leveled off from 2012 onwards (Fig. 1C). Despite this, more than 1 in 2 overweight (57%) and obese pregnant women (53%) gained weight above the NAM recommendations.

Excessive GWG was most frequent in younger primiparous women and was associated with hypertensive complications, induction of labor, emergency cesarean delivery and LGA babies within all BMI categories (Table 1).

Perinatal Outcomes 2009–2014

Time Effects

In the univariate analysis, the prevalence of diabetes in pregnancy significantly increased between 2009 and 2014 from 2.1% (CI 2.0–2.3) to 3.5% (CI 3.3–3.6; p < 0.001; table not shown). In the multivariate analysis, no significant changes in the prevalence of hypertension in pregnancy, macrosomia (≥4,000 g), low birth weight (<2,500 g) and SGA babies were observed over the last 6 years within the different BMI categories. However, in class III obese women, the aOR for LGA babies have been decreasing while in overweight women, the aOR for emergency cesarean and neonatal intensive care unit admission have increased (table not shown).

BMI and GWG Effects

Excessive GWG was associated with an increased risk for pregnancy-induced hypertension. This additive effect was more pronounced in the higher BMI categories. For example, hypertensive complications were present in 4.4% of the patients showing excessive GWG and having a normal BMI, versus 22.3% in class III obese women with excessive GWG (Table 2).

Table 2.

Multivariate analysis: odds of perinatal outcomes by gestational weight gain (GWG) and year of birth, adjusted for parity, mode of conception, age and gestational age, stratified by body mass index class (n = 327,962)

Number Pregnancy-induced hypertension
Macrosomia
Large-for-gestational-age babies
n prev. aOR 95% CI p value n prev. aOR 95% CI p value n prev. aOR 95% CI p value
Underweight 16,627 287 591 677
GWG less than IOM recommended 7,542 99 1.3 0.69 0.53–0.91 0.008 138 1.8 0.47 0.38 −0.58 <0.001 158 2.1 0.44 0.37–0.54 <0.001
GWG as IOM recommended (ref.) 6,816 119 1.7 282 4.1 318 4.7
GWG more than IOM recommended 2,269 69 3.0 1.83 1.35–2.49 <0.001 171 7.5 1.93 1.58 −2.37 <0.001 201 8.9 2.00 1.66–2.41 <0.001

Normal weight 204,339 5,802 17,285 18,013
GWG less than IOM recommended 67,091 1,316 2.0 0.74 0.69–0.79 <0.001 3,081 4.6 0.54 0.51 −0.56 <0.001 3,203 4.8 0.53 0.51–0.56 <0.001
GWG as IOM recommended (ref.) 86,903 2,291 2.6 7,332 8.4 7,551 8.7
GWG more than IOM recommended 50,345 2,195 4.4 1.69 1.59–1.80 <0.001 6,872 13.6 1.76 1.70 −1.83 <0.001 7,259 14.4 1.79 1.73–1.85 <0.001

Overweight 72,817 3,718 9,148 9,280
GWG less than IOM recommended 9,125 288 3.2 0.81 0.70–0.92 0.002 603 6.6 0.68 0.62 −0.75 <0.001 590 6.5 0.67 0.61–0.74 <0.001
GWG as IOM recommended (ref.) 21,842 852 3.9 2,060 9.4 2,056 9.4
GWG more than IOM recommended 41,850 2,578 6.2 1.51 1.39–1.63 <0.001 6,485 15.5 1.86 1.76 −1.96 <0.001 6,634 15.9 1.82 1.72–1.91 <0.001

Class I obese 24,867 2,091 3,657 3,810
GWG less than IOM recommended 3,724 174 4.7 0.69 0.57–0.82 <0.001 336 9.0 0.78 0.68 −0.90 <0.001 342 9.2 0.74 0.65–0.84 <0.001
GWG as IOM recommended (ref.) 6,797 462 6.8 779 11.5 824 12.1
GWG more than IOM recommended 14,346 1,455 10.1 1.45 1.30–1.62 <0.001 2,542 17.7 1.79 1.64 −1.95 <0.001 2,644 18.4 1.66 1.52–1.80 <0.001

Class II obese 7,086 900 1,157 1,239
GWG less than IOM recommended 1,708 171 10.0 0.81 0.66–1.00 0.05 187 10.9 0.73 0.60 −0.89 0.002 194 11.4 0.71 0.58–0.86 <0.001
GWG as IOM recommended (ref.) 2,094 251 12.0 302 14.4 322 15.4
GWG more than IOM recommended 3,284 478 14.6 1.18 0.99–1.39 0.06 668 20.3 1.60 1.37 −1.86 <0.001 723 22.0 1.58 1.37–1.83 <0.001

Class III obese 2,226 399 399 451
GWG less than IOM recommended 783 119 15.2 1.00 0.74–1.33 0.97 87 11.1 0.48 0.36 −0.65 <0.001 106 13.5 0.58 0.44–0.76 <0.001
GWG as IOM recommended (ref.) 655 104 15.9 134 20.5 141 21.5
GWG more than IOM recommended 788 176 22.3 1.48 1.13–1.94 0.005 178 22.6 1.22 0.94 −1.59 0.14 204 25.9 1.29 1.01–1.65 0.04
Number Low birth weight
Small-for-gestational-age babies
Emergency cesarean section
Admission to NICU
n prev. aOR 95% CI p value n prev. aOR 95% CI p value n prev. aOR 95% CI p value n prev. aOR 95% CI p value
Underweight 16,627 744 2,904 894 222
GWG less than IOM recommended 7,542 483 6.4 1.88 1.59– <0.001 1,779 23.6 2.04 1.87– <0.001 341 4.5 0.82 0.71– 0.01 107 1.4 1.13 0.84– 0.42
2.23 2.23 0.96 1.51
GWG as IOM recommended (ref.) 6,816 213 3.1 898 13.2 374 5.5 83 1.2
GWG more than IOM recommended 2,269 48 2.1 0.68 0.49– 0.02 227 10.0 0.72 0.61– <0.001 179 7.9 1.46 1.21– <0.001 32 1.4 1.18 0.78– 0.44
0.94 0.84 1.76 1.78

Normal weight 204,339 4,160 20,056 14,027 2,736
GWG less than IOM recommended 67,091 2,162 3.2 1.86 1.74– <0.001 9,510 14.2 1.76 1.70– <0.001 3,745 5.6 0.92 0.88– <0.001 878 1.3 1.03 1.94– 0.55
2.00 1.81 0.96 1.12
GWG as IOM recommended (ref.) 86,903 1,394 1.6 7,398 8.5 5,667 6.5 1,088 1.3
GWG more than IOM recommended 50,345 604 1.2 0.78 0.71– <0.001 3,148 6.3 0.71 0.68– <0.001 4,615 9.2 1.37 1.31– <0.001 770 1.5 1.23 1.12– <0.001
0.86 0.74 1.42 1.35

Overweight 72,817 1,125 5,844 6,628 1,138
GWG less than IOM recommended 9,125 257 2.8 1.59 1.35– <0.001 1,246 13.7 1.50 1.40– <0.001 590 6.5 0.88 0.79– 0.008 145 1.6 1.05 0.86– 0.61
1.87 1.62 0.97 1.28
GWG as IOM recommended (ref.) 21,842 374 1.7 2,074 9.5 1,677 7.7 326 1.5
GWG more than IOM recommended 41,850 494 1.2 0.68 0.59– <0.001 2,524 6.0 0.61 0.57– <0.001 4,361 10.4 1.19 1.12– <0.001 667 1.6 1.05 0.92– 0.48
0.78 0.65 1.27 1.20

Class I obese 24,867 369 1,804 2,792 470
GWG less than IOM recommended 3,724 87 2.3 1.40 1.05– 0.02 400 10.7 1.29 1.12– <0.001 304 8.2 0.99 0.86– 0.91 60 1.6 0.92 0.67– 0.62
1.87 1.47 1.15 1.26
GWG as IOM recommended (ref.) 6,797 111 1.6 586 8.6 594 8.7 118 1.7
GWG more than IOM recommended 14,346 171 1.2 0.69 0.54– 0.003 818 5.7 0.63 0.56– <0.001 1,894 13.2 1.35 1.22– <0.001 292 2.0 1.17 0.94– 1.17
0.88 0.70 1.49 1.45

Class II obese 7,086 113 527 918 146
GWG less than IOM recommended 1,708 32 1.9 1.24 0.75– 0.40 177 10.4 1.48 1.18– 149 8.7 0.67 0.54– <0.001 26 1.5 0.68 0.42– 0.12
2.04 1.86 0.84 1.11
GWG as IOM recommended (ref.) 2,094 33 1.6 150 7.2 259 12.4 46 2.2
GWG more than IOM recommended 3,284 48 1.5 0.89 0.56– 0.61 200 6.1 0.81 0.65– 510 15.5 1.11 0.94– 0.23 74 2.3 1.02 0.70– 0.93
1.40 1.01 1.31 1.48

Class III obese 2,226 45 160 373 59
GWG less than IOM recommended 783 26 3.3 2.11 1.02– 0.04 69 8.8 1.22 0.83– 0.32 108 13.8 0.96 0.70– 0.78 16 2.0 0.93 0.45– 0.84
4.36 1.79 1.31 1.93
GWG as IOM recommended (ref.) 655 11 1.7 51 7.8 106 16.2 14 2.1
GWG more than IOM recommended 788 8 1.0 0.55 0.22– 0.21 40 5.1 0.61 0.40– 0.02 159 20.2 1.19 0.89– 0.25 29 3.7 1.65 0.86– 0.13
1.39 0.94 1.59 3.18

prev., prevalence row percentage. US IOM 2009 guidelines are used for the definition of less than, as and more than recommended gestational weight gain, that is, for underweight women <12.5 kg, between 12.5 and 18 kg and more than 18 kg, for normal weight women <11.5 kg, between 11.5 and 16 kg and more than 16 kg, for overweight women <7 kg, between 7 and 11 kg and more than 11 kg, for obese women in all categories <5 kg, between 5 and 9 kg and more than 9 kg, respectively. aOR, adjusted odds ratio; CI, confidence interval; NICU, neonatal intensive care unit.

Odds ratios for macrosomia and LGA were also significantly higher if women gained weight beyond compared to within recommendations, with increasing prevalence in higher BMI classes. For example, the estimated probability of delivering an LGA baby was 16% if a normal weight woman (multiparous, age 30, gestational age at delivery 39 weeks, spontaneous conception, delivery in 2014) gained more than the recommended weight compared to 19% in a class I obese woman gaining more than the recommended weight, and 23% in class II or III obese women.

Class III obese women did not show a significant increase in risk for macrosomia if they gained more than the recommended weight (aOR 1.22, 95% CI 0.94–1.59; p = 0.14), but the risk for LGA babies (aOR 1.29, 95% CI 1.01–1.65, p = 0.04) increased when exceeding the guidelines. GWG did not influence the risk for delivering SGA babies in obese class III women (8.8 vs. 7.8%, aOR 1.22, 95% CI 0.83–1.79, p = 0.32 for women gaining weight within vs. beyond recommendations).

The aOR for emergency cesarean section increased with increasing GWG in underweight, normal weight and overweight women. For obese women of class II and III however, this trend was not identifiable (Table 2).

Prediction Model

In the multivariate analysis using GWG as a continuous variable, we calculated the predicted probability for relevant adverse outcomes for each possible value of GWG. We made a model using a 30-year-old multiparous woman in 2014, delivering at 39 weeks after a spontaneous conception. The different predicted probabilities have been visualized for each BMI category, and for the different classes of obesity (Fig. 2A–F). LGA and SGA were the most frequent outcomes. The lowest predicted probabilities of LGA and SGA infants were associated with a weight gain of 21 kg in underweight women, 14 kg in normal weight women and about 8 kg in overweight women. In obese women, the lowest probability coincided with 0 kg weight gain in class I, 4 kg weight loss in class II, and 5 kg weight loss in class III.

Fig. 2.

Fig. 2

A–FDifferent predicted probabilities for each BMI category and for the different classes of obesity. c-section, cesarean section; LBW, low birth weight; SGA, small for gestational age; LGA, large for gestational age; NIC, neonatal intensive care.

Discussion

This study reports on a unique high-quality data set of over 335,000 pregnant women, focusing on the evolution of BMI and GWG and their impact on relevant perinatal outcomes. We show that the problem of maternal obesity remains endemic in our region. One in 3 women was overweight or obese at the start of pregnancy, and the prevalence of class II and III obesity increased during the study period. Moreover, our study results challenge the current NAM recommendations for GWG in obese women, especially in those with class II and III obesity. Obesity in women of reproductive age adversely affects current and future generations, with implications from preconception to pregnancy and the postpartum period [22]. It therefore requires more attention from the public, caregivers and funders.

Maternal BMI and Pregnancy Outcome

Our data confirm the association of maternal obesity with adverse maternal, fetal and neonatal outcomes reported in other studies [17, 22, 23]. The association between hypertensive complications and emergency cesarean section was striking. In normal weight women with adequate GWG, the risk for hypertensive complication or undergoing emergency cesarean section was 1.8 and 6.6%, respectively, compared to 17.7 and 16.1% in morbidly obese women. This is worrying, especially as urgent abdominal deliveries in (morbidly) obese patients are far more costly, technically challenging and associated with morbidity [24]. Besides, this is an increasing risk group for inadequate gestational age including extreme preterm and post-term births [25]. Our results may suggest that GWG largely determines adverse perinatal outcomes. However, when comparing plots for the different BMI categories (Fig. 2), it becomes clear that the effect of GWG is superimposed on the stronger determinant being the prepregnancy BMI. This has also been demonstrated in other studies from our group and others [2, 14, 26, 27, 28]. A recent meta-analysis reporting on a 264% increased odds of child obesity when mothers have prepregnancy obesity, provides substantial evidence for the need to develop early interventions prior to conception, to support women of childbearing age with weight management in order to tackle intergenerational obesity [29].

Additive Effect of GWG

As expected, excessive GWG had an additive effect on the deleterious effect of starting the pregnancy with a high BMI. The risk for an LGA newborn in normal weight till class II obese women increased from 8.7 to 14.4% and from 15.4 to 22.0%, respectively, depending on whether women gained weight within or above recommendations. This additive effect was less predictable in class III obese women (21.5–25.9%). Yet, GWG in obese women [30] as well as in normal weight women [31] is a modifiable factor during pregnancy, and therefore recommendations are important to inform the patients and direct caregivers [32]. Diet and physical activity-based interventions are most effective in reducing GWG, with only a small impact on reducing cesarean delivery (OR 0.91, 95% CI 0.83–0.99) [33]. Unfortunately, a recent study showed that obese pregnant women should be counseled on healthy eating, physical activity and sedentary behavior to reduce neonatal adiposity in their offspring [34].

Modeling “Optimal” GWG

Using GWG as a continuous variable, we calculated windows of GWG associated with “optimal” pregnancy outcome for the different BMI categories, including the different classes of obesity. The “optimal” pregnancy outcome was defined as the GWG that was associated with the lowest incidence of pregnancy complications related to both maternal BMI and GWG, especially LGA and SGA. These are the most frequent adverse outcomes registered in the database, and both are associated with adverse long-term metabolic outcome for the children. Being born LGA has been shown to be a stronger marker for risk of being overweight/obese in early childhood compared with maternal diabetes during pregnancy [35]. SGA neonates on the other hand have a significantly increased risk for cardiovascular dysfunction in early childhood [36].

The calculated “most optimal” GWG corresponds well with the current NAM guidelines for the underweight, normal weight and overweight categories and therefore supports the validity and use of these guidelines in our population. In contrast, the modeling results obtained in the different classes of obesity were substantially different. In women with class III obesity, the NAM recommends a total weight gain between 5 and 9 kg during pregnancy. Our data suggest that patients in this class only have a low probability of weight-related complications if they lose weight during pregnancy, which was also confirmed by others [37]. For class I and II obesity women, the calculated optimal GWG windows were also lower than the advised 5–9 kg advised by the NAM, irrespective of the degree of obesity.

Lessons for Clinical Practice

The safety of weight loss in obese mothers during pregnancy is increasingly being reported in epidemiological studies [17, 38] but needs to be confirmed in prospective studies. Our data suggest that the current guidelines are insufficiently stringent for the obese categories and that differentiation between the different classes of obesity would be a helpful addition to the current guidelines. The need for more refined GWG guidelines or tailored to a specific national situation on GWG has been recently reported based on an analysis of the Swedish maternal health care register [39]. A recent systematic review on perinatal outcomes related to GWG categories per BMI group showed that GWG below recommendations was associated with a higher risk for SGA (OR 1.53) and preterm birth (OR 1.70) [14]. However, although they distinguished between classes of obesity as well as between weight loss and GWG below guidelines, they could not report on the lowest prevalence for SGA and LGA based on GWG as a continuous variable as we did in our analysis.

Other researchers have recently recognized that the NAM guidelines are probably too liberal and have developed interventions aiming at limiting GWG in obese pregnant women to a maximum of 5 kg or less [40]. In the DALI study, this approach led to a significant reduction in GWG, an improved glucose metabolism and neonatal adiposity [34, 41]. The importance of limiting GWG has led to the development and testing of numerous lifestyle interventions. However, disappointingly, the majority have resulted in an insufficient reduction of GWG to have a meaningful impact on pregnancy and birth outcomes. Concurrently, the impact of these lifestyle interventions on rates of obesity in the offspring remains to be determined [7, 42, 43].

The most effective prevention is encouraging women to embark on pregnancy with a healthy lifestyle and BMI. Preconception lifestyle programs are seldom offered to young adult women presenting for contraception or routine health care visits [44]. Furthermore, the content and effectiveness of those programs currently remain unproven [42]. Postpartum weight retention also negatively influences the prepregnancy BMI in a subsequent pregnancy. Recently, more attention has been given to the problem of weight retention after pregnancy, its impact on subsequent pregnancies [13, 45, 46] and on the life-long health of the women [7]. Research has focused on possible interventions in the so-called “interpregnancy period,” the period between 2 pregnancies. Ideally, interpregnancy interventions should not only focus on the postpartum period, but also the subsequent pregnancy. Currently, several populations are under evaluation, including patients in a large multicenter randomized trial in the region studied in this paper [47] (www.interactstudy.org).

Strengths and Limitations

The strength of this analysis resides in the amount of well-documented pregnancies and the quality of the registration in the region of Flanders. Indeed, this register covers almost all deliveries in the region including most home deliveries. Furthermore, the scrutiny with which the missing data are traced contributes to the quality of this internationally recognized register.

Sociodemographic variables like ethnicity were not included in this analysis but were evaluated and reported in this Caucasian North-European population elsewhere in detail for the year 2009, coinciding with the start period of this study [2]. Theoretically, sociodemographic changes, especially age, parity and ethnic background could potentially influence BMI, GWG and their respective influence on the perinatal outcomes. The study window is however relatively small, and these factors have been very stable over that study period [18]. It is therefore very improbable that the effect of sociodemographic changes results in the different findings or conclusions in this paper. We need to acknowledge the possible underestimation of self-reported prepregnancy maternal weight as this may affect the calculation of prepregnancy BMI and subsequently influence the calculation of GWG. The link between prepregnancy BMI, GWG and measured correlates may be affected by this potential error. A possible difference in maternal weight between the last prenatal visit and maternal weight at delivery is not significantly meaningful in this large term cohort of more than 330,000 women.

Besides reporting on the optimal weight gain by using the lowest intersection between LGA and SGA, one has to take also into account the immediate and longer-term consequences of excessive GWG for the mothers, especially in those from class II and III obesity. Although a rather low incidence of gestational diabetes mellitus (GDM) which is related to different screening policies, that is, Diabetic Pregnancy Study Group versus Carpenter-Coustan cutoffs, GDM is an important complication of obesity with long-term impact on the health of mothers and offspring [6]. GDM increased substantially in this population over the study period. Omission of GDM due to inconsistent primary data (influence of diet treatment) is a weakness of all studies addressing optimal GWG [14]. Measurement of GWG up to the 2nd trimester could give important information on this important outcome. Unfortunately, these data are seldom available. And lastly, findings from this analysis cannot be interpreted as causalities but rather as correlational, because of the cross-sectional design.

In summary, this paper provides a novel insight into the increasing trend in maternal obesity and associated outcomes, and challenges the current recommendations for GWG in obese women, especially in those from classes II and III.

Statement of Ethics

The scientific committee of the SPE granted approval for the analysis of the anonymized data. This study was exempt from approval by an Institutional Review Board because data were used for scientific purposes only.

Conflict of Interest Statement

The authors have no conflicts of interest to declare. All authors have completed the ICMJE uniform disclosure form at http://www.icmje.org/coi_disclosure.pdf and declare: no support from any organization for the submitted work; no financial relationships with any organizations that might have an interest in the submitted work in the previous 3 years, and no other relationships or activities that could appear to have influenced the submitted work.

Funding Sources

R.D. is a fundamental clinical investigator for the Flemish Research Fund (FWO Fundamental Clinical Investigatorship 1803311N). This paper was realized using data from the SPE, supported by the Flemish agency for Care and Health (VAZG).

Author Contributions

R.D. and A.B. designed the study protocol, together with L.A. who also coordinated and executed the statistical analysis. R.G. supported in the data cleaning, T.N. coordinated the literature searches and revised the final script.

Acknowledgment

The authors want to thank Patrice Eastwood, MD, for linguistic advice.

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