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. Author manuscript; available in PMC: 2024 Apr 1.
Published in final edited form as: Int J Obes (Lond). 2023 Dec 20;48(3):414–422. doi: 10.1038/s41366-023-01441-y

Maternal gestational diabetes and childhood adiposity risk from 6 to 8 years of age

Maternal GDM and childhood adiposity

Weiqin Li 1,*, Leishen Wang 1, Huikun Liu 1, Shuang Zhang 1, Wei Li 1, Junhong Leng 1, Xilin Yang 2, Zhijie Yu 3, Amanda E Staiano 4, Gang Hu 4,*
PMCID: PMC10965231  NIHMSID: NIHMS1973275  PMID: 38123838

Abstract

Background/objective:

Previous studies found conflicting results on the association between maternal gestational diabetes mellitus (GDM) and childhood overweight/obesity. This study was to assess the association between maternal GDM and offspring’s adiposity risk from 6 to 8 years of age.

Methods:

The present study longitudinally followed 1,156 mother-child pairs (578 GDM and 578 non-GDM) at 5.9±1.2 years postpartum and retained 912 mother-child pairs (486 GDM and 426 non-GDM) at 8.3±1.6 years postpartum. Childhood body mass index (BMI), waist circumference, body fat and skinfold were measured using standardized methods.

Results:

Compared with the counterparts born to mothers with normal glucose during pregnancy, children born to mothers with GDM during pregnancy had higher mean values of adiposity indicators (waist circumference, body fat, subscapular skinfold and suprailiac skinfold) at 5.9 and 8.3 years of age. There was a positive association of maternal GDM with changes of childhood adiposity indicators from the 5.9-year to 8.3-year visit, and β values were significantly larger than zero: +0.10 (95% CI: 0.02-0.18) for z score of BMI for age, +1.46 (95% CI: 0.70-2.22) cm for waist circumference, +1.78% (95% CI: 1.16%-2.40%) for body fat, +2.40 (95% CI: 1.78-3.01) mm for triceps skinfold, +1.59 (95% CI: 1.10-2.09) mm for subscapular skinfold, and +2.03 (95% CI: 1.35-2.71) mm for suprailiac skinfold, respectively. Maternal GDM was associated with higher risks of childhood overweight/obesity, central obesity, and high body fat (Odd ratios 1.41-1.57 at 5.9 years of age and 1.73-2.03 at 8.3 years of age) compared with the children of mothers without GDM.

Conclusions:

Maternal GDM was a risk factor of childhood overweight/obesity at both 5.9 and 8.3 years of age, which was independent from several important confounders including maternal pre-pregnancy BMI, gestational weight gain, children’s birth weight and lifestyle factors. This significant and positive association became stronger with age.

Introduction

Childhood overweight and obesity is one global public health challenge [1]. The global age-standardized prevalence of obesity increased from 0.7% in 1975 to 5.6% in 2016 in girls, and from 0.9% in 1975 to 7.8% in 2016 in boys [2]. Childhood obesity is associated with adult weight status and morbidity, such as cardiovascular diseases and type 2 diabetes [3, 4]. Therefore, identifying and counteracting modifiable risk factors is essential for timely prevention of obesity in children.

The etiology of obesity is complex and multifactorial. Gestational diabetes mellitus (GDM), defined as glucose intolerance with onset or first recognition during pregnancy, has continued to increase nowadays with its prevalence of 14.0% in 2021 [5, 6]. Intrauterine exposure to GDM might play an important role in developing obesity in the childhood and adulthood. Although many studies have provided evidence to support the association of maternal GDM with childhood adiposity, others did not [79]. Until now, there are three meta-analyses investigating the association between maternal GDM and offspring’s overweight at different developmental stages and the results are quite different [1012]. The inconsistent findings of these meta-analyses may be partially due to small sample sizes, especially GDM cases, and inadequate control for major confounders (maternal pre-pregnancy body mass index [BMI], children’s dietary intake, and physical activity, etc.) [1012]. Moreover, most of original studies in these three meta-analyses used BMI as an indicator to evaluate obesity/overweight. However, adiposity is excess adipose tissue but not excess weight, and BMI is limited as an indicator of body composition because it reflects the general weight without partitioning body fat, lean mass and bone mass [13]. Alternative metrics include waist circumference that provides a simple method to measure central fat, body fat percent (a direct reflection of overall obesity), and skinfold thickness (conventionally used to classify an individual in terms of relative fat or to evaluate specific subcutaneous tissue fat) [14]. Thus, studies on the impact of maternal GDM on children’s growth and development, especially using both BMI and other indicators of adiposity including waist circumference, body fat percent and skinfolds to reflect obesity, are needed.

In addition, most of original studies in three meta-analyses assessed the association of maternal GDM with offspring’s overweight at a single age point, and very few studies have assessed if there is any change of this association over time. The aim of the present study was to assess the association between maternal GDM and offspring’s adiposity risk from 6 to 8 years of age.

Materials and Methods

Study Design and Participants

The present study was a part of the Tianjin Gestational Diabetes Mellitus Prevention Program (TGDMPP) [1517], and the study design, including recruitment, screening visits, and inclusion and exclusion criteria, has been described in detail elsewhere [8, 1517]. Briefly, 76,325 pregnant women from six urban districts in Tianjin were screened at 26–30 gestational weeks between 2005 and 2009, among whom 4,644 women were diagnosed as GDM and 71,681 were free of GDM (Non-GDM). GDM was diagnosed on the basis of the 1999 World Health Organization (WHO) criteria [18] as either diabetes (fasting glucose ≥7.0 mmol/L or 2-hour glucose ≥11.1 mmol/L) or impaired glucose tolerance (2-hour glucose ≥7.8 mmol/L and <11.1 mmol/L). From August 2009 to July 2011, 1,263 of 4,644 GDM women participated in the TGDMPP, and then they were followed several times (Figure 1). We randomly chose 578 GDM mother–child pairs in the TGDMPP, who finished the second (Year 2) follow-up survey with stored blood samples, as the GDM case group. No differences at maternal age (32.3 compared with 32.4 years), BMI (23.9 compared with 24.0 kg/m2), fasting glucose (5.21 compared with 5.23 mmol/L), and 2-h glucose (6.57 compared with 6.59 mmol/L) were found between GDM women selected and those not selected in the GDM case group. We simultaneously enrolled 578 non-GDM mother-child pairs from 71,681 non-GDM women who finished the GDM screening at the same period as the non-GDM control group, with children’s age (±1 month) and sex frequency-matched to 578 children of GDM mothers. The 1,156 mother-child pairs (578 GDM and 578 non-GDM) finished the follow-up visit at 5.9±1.2 years postpartum. About 2 years later, 912 (486 GDM and 426 non-GDM) of 1,156 mother-child pairs finished another follow-up visit at 8.3±1.6 years postpartum. The flow chart of the participants was shown in Figure 1. This study was approved by the Ethics Committee for Clinical Research of Tianjin Women’s and Children’s Health Center (Approval numbers: 2009-01, 2013-03-01 and 2017-03-01), and written informed consents were collected from all participants. All methods were performed in accordance with the relevant guidelines and regulations.

Figure 1.

Figure 1.

Participant flow chart.

Questionnaires and measurements

In the 5.9-year and 8.3-year surveys, every mother completed a self-administered questionnaire including socio-demographic characteristics (age, marital status, education, income, and occupation); family history of diabetes; pregnancy outcomes (pre-pregnancy weight, weight gain during pregnancy and number of children); lifestyle in the past year including smoking habits (non-smoking, former smoking, current smoking), passive smoking status and alcohol intake; and leisure-time physical activity (0 min/day, < 30 min/day, ≥30 min/day). Children’s information was collected by another questionnaire completed by their mothers including children’s general information, such as sex, birth date, age, birth weight, birth length, lactation (exclusive formula, mixed or exclusive breast), lactation duration, sleeping time (≤8 hours/day, 9–10 hours/day, ≥11 hours/day), screen watching time, and outdoor physical activity time. A validated food frequency questionnaire to measure the children’s frequency and quantity of intake of 35 major food groups and beverages during the past year was collected from children’s mothers. The performance of the food frequency questionnaire has been validated in the China National Nutrition and Health Survey in 2002 [19].

Using the standardized protocol, all mother-child pairs underwent physical examinations including body weight (wearing light clothes) and height (without shoes) in the 5.9-year and 8.3-year surveys by specially trained doctors. Body weight was measured to the nearest 0.01 kg by using a digital scale (TCS-60, Tianjin Weighing Apparatus Co., China). Standing height was measured to the nearest 0.1 cm using a stadiometer (SZG-180, Shanghai Zhengdahengqi, China). Children’s waist circumference was measured midway between the lower rib margin and the iliac crest, and the measurement was rounded to the nearest 0.1 cm. Children’s body fat percentage was measured using a body composition analyzer (Inbody J-20, South Korea). Skinfold thickness at triceps, subscapular and suprailiac region was measured accurately to the nearest 0.5 mm by a trained investigator using a sebum thickness meter (Jianmin, Xindonghuateng, China).

BMI was obtained by dividing weight in kilograms by the square of height in meters. Children’s Z scores of BMI for age were calculated according to the WHO age- and sex-specific growth reference (0 ~ 60 months [20] and 5 ~ 19 years old [21]). Childhood overweight was defined as BMI ≥ 85th percentiles (Z score of BMI for age ≥1.035), and obesity was defined as BMI ≥95th percentiles (Z score of BMI for age ≥1.645). According to the Third National Health and Nutrition Examination Survey (NHANES III) waist circumference criteria in children [22], central obesity was defined as waist circumference ≥the 90th percentiles for age- and sex-specific distribution. According to the National Health and Nutrition Examination Survey (NHANES) IV [23], high body fat was defined as body fat ≥the 90th percentiles for age- and sex-specific distribution. Since the reference normative values were available in children starting from 5 years old, we defined high body fat only among the children over 5 years old.

Statistical analysis

Demographic and lifestyle data of mothers and children were analyzed based on maternal GDM status. Continuous variables were presented as means (standard deviation, SD) and were compared between groups using T-test of independent samples. Categorical variables were presented as frequencies (percentages) and were compared using the Chi-square test. We established generalized linear models (GLMs) to analyze the β values and 95% confidential intervals (CIs) of GDM with childhood adiposity measurements and their changes from the 5.9-year to 8.3-year visit, and the adjusted means (standard error, SE) based on maternal GDM status were also listed. Logistic regression was used to estimate the odds ratios (ORs) and 95% CIs of indicators of childhood adiposity by maternal GDM status. This study was a longitudinal design in which the same dependent variables (childhood adiposity indicators) were repeatedly measured over time (5.9 and 8.3 years of age) for the same children, thus general linear models of repeated measures were conducted to investigate the effect of time and its interaction with maternal GDM on childhood adiposity indicators. We included two models in the analyses: 1) Multivariate analyses were adjusted for maternal information (age, gestational age, education, smoking status, alcohol drinking status, pre-pregnancy BMI, weight gain during pregnancy, and BMI), and children’s information (age, sex, birth weight, outdoor time, screening watching time, sleeping duration, dietary energy intake, dietary fiber intake and energy intake from fat) at the baseline (5.9-year) visit when comparing children’s baseline obesity indicators by maternal GDM status; 2) When comparing children’s obesity indicators at the follow-up (8.3-year) visit or changes in obesity indicators from 5.9-year to 8.3-year visit by maternal GDM status, we adjusted for above maternal and children’s confounding factors at the baseline visit, and the corresponding adiposity indicators measured at the baseline visit.

The intention-to-treat analyses that included all participants were conducted in the present study. Missing values for children who did not finish the 8.3-year visit were not missing completely at random (Little’s MCAR test: Chi-square = 309.17, f = 202, P < 0.001), and were imputed using expectation maximization algorithm (EM). EM is an iterative procedure that substitutes missing data with their most likely values according to the empirical mean and the variance-covariance matrix observed in the data [24] and is one of the most commonly used procedures to impute missing data. The per-protocol (PP) analyses were performed as the sensitivity analysis excluding participants who did not finish the 8.3-year visit.

All statistical analyses were performed with SPSS statistics V.25.0 for Windows software package (IBM) and R 4.0 (R Foundation for Statistical Computing, Vienna, Austria) software programs. Two-sided P < 0.05 was considered statistically significant.

Results

Maternal and children’s characteristics at the 5.9-year and 8.3-year visits according to maternal GDM status are shown in Table 1. Mothers with GDM were older at delivery, had a higher pre-pregnancy BMI and BMI at the 5.9-year visit, less weight gain during pregnancy and less education, and were less likely to smoke and drink alcohol, as compared with mothers without GDM. At the 5.9-year visit, there were no differences of age (5.9 years old) and sex (boys counted 52%) between the two groups of children born to mothers with GDM and without GDM, but children of GDM mothers had higher birth weight, longer screen watching time, less sleeping time, higher percentage of energy intake from fat and less diet fiber intake than children of mothers without GDM. Children of GDM mothers were older, had less outdoor activity time and sleeping time than those of non-GDM mothers at the 8.3-year visit. The proportions of overweight, obesity, central obesity and high body fat were higher among children of GDM mothers than those of mothers without GDM at both 5.9-year and 8.3-year visits (all P values were < 0.05) (Table 1).

Table 1.

Maternal and children’s characteristics according to maternal gestational diabetes status

The 5.9-year visit
The 8.3-year visit
Non-GDM GDM P value Non-GDM GDM P value
Number of subjects 578 578 578 578
Maternal characteristics
  Age at delivery, years 30.5±2.91 31.2±3.58 <0.001 - - -
  Gestational age at delivery, weeks 39.1±1.52 39.1±1.34 0.542 - - -
  Pre-pregnancy BMI, kg/m2 21.4±2.94 22.9±3.06 <0.001 - - -
  Gestational weight gain, kg 18.3±6.70 16.6±5.85 <0.001 - - -
  Education, n (%) <0.001
 ≤ 12 years 62 (10.7) 116 (20.1) - - -
 13-15 years 437 (75.6) 421 (72.8) - - -
 ≥ 16 years 79 (13.7) 41 (7.1) - - -
  Current smokers, % 22 (3.8) 10 (1.7) 0.046 - - -
  Passive smokers, % 317 (54.8) 305 (52.8) 0.480 - - -
  Alcohol drinkers, % 183 (31.7) 125 (21.6) <0.001 - - -
  Maternal BMI at the 5.9-year visit, kg/m2 22.8±3.60 24.0±3.67 <0.001
Child characteristics
  Boy, % 302 (52.2) 302 (52.2) 1.000
  Age, years 5.87±1.23 5.87±1.24 0.980 7.90±1.55 8.67±1.63 <0.001
  Birth weight, g 3401±454 3544±507 <0.001 - - -
  Mode of infant feeding, % 0.420
 Exclusive breastfeeding 236 (40.8) 256 (44.3) - - -
 Mixed breast and formula 257 (44.5) 248 (42.9) - - -
 Exclusive formula feeding 85 (14.7) 74 (12.8) - - -
  Outdoor activity, hours/day 2.11±0.85 2.20±0.90 0.097 1.12±0.55 1.00±0.32 <0.001
  Screen watching time, hours/day 0.95±0.76 1.17±0.83 <0.001 0.76±0.65 0.73±0.61 0.420
  Sleeping duration, n (%) <0.001 <0.001
 ≤ 8 hours/day 64 (11.1) 88 (15.2) 131 (30.7) 248 (51.0)
 9-10 hours/day 389 (67.3) 412 (71.3) 266 (62.3) 235 (48.4)
 ≥ 11 hours/day 125 (21.6) 78 (13.5) 30 (7.0) 3 (0.6)
  Energy intake, kcal/day 1400±405 1390±465 0.680 - - -
  Energy intake from fat, % 22.7±5.53 23.9±6.67 0.001 - - -
  Diet fiber, grams/1000 kcal 5.46±1.31 5.20±1.29 0.001 - - -
Indicators of childhood adiposity
Continuous variables
 Z score of BMI for age 0.02±1.28 0.34±1.35 <0.001 0.16±1.38 0.59±1.48 <0.001
 Waist circumference (cm) 54.7±6.15 56.3±6.75 <0.001 59.0±8.17 62.9±9.76 <0.001
 Body fat (%) 19.0±7.4 20.8±7.99 <0.001 20.5±8.48 24.5±9.55 <0.001
 Triceps skinfold (mm) 12.8±5.36 12.7±5.81 0.689 15.2±6.69 18.0±7.87 <0.001
 Subscapular skinfold (mm) 7.22±3.82 8.10±4.42 <0.001 9.19±5.56 11.9±7.32 <0.001
 Suprailiac skinfold (mm) 9.67±5.96 11.6±6.99 <0.001 13.2±7.90 17.4±9.90 <0.001
Categorical variables
 Overweight (Z score of BMI for age ≥1.035), % 107 (18.5) 156 (27.0) 0.001 142 (24.6) 229 (39.6) <0.001
 Obesity (Z score of BMI for age ≥1.645), % 61 (10.6) 98 (17.0) 0.002 86 (14.9) 150 (26.0) <0.001
 Central obesity, % 48 (8.3) 74 (12.8) 0.013 54 (9.3) 86 (14.9) 0.004
 High body fat, %* 97 (22.6) 135 (31.5) 0.003 115 (20.2) 185 (32.9) <0.001

Values shown are means ± SD or n (%). BMI, body mass index; GDM, gestational diabetes mellitus.

Missing values for children who did not finish the 8.3-year visit were imputed using expectation maximization algorithm.

*

There were 298 and 23 children in the 5.9-year and 8.3-year visits, who were younger than 5 years old and not included since the references were available from 5 years old.

Base on the intention-to-treat analyses (Table 2), children born to mothers with GDM had higher mean values of adiposity indicators (waist circumference, body fat, subscapular skinfold and suprailiac skinfold) at 5.9 and 8.3 years of age, in comparison with those born to mothers without GDM. The effects (β values) of GDM on adiposity indicators except for the Z score of BMI for age were larger at the 8.3-year visit than those at the 5.9-year visit. There was a positive association of maternal GDM with changes of childhood adiposity indicators from the 5.9-year to 8.3-year visit, and the β values were significantly larger than zero: +0.10 (95% CI: 0.02-0.18) for z score of BMI for age, +1.46 (95% CI: 0.70-2.22) cm for waist circumference, +1.78% (95% CI: 1.16%-2.40%) for body fat, +2.40 (95% CI: 1.78-3.01) mm for triceps skinfold, +1.59 (95% CI: 1.10-2.09) mm for subscapular skinfold, and +2.03 (95% CI: 1.35-2.71) mm for suprailiac skinfold, respectively. These results were similar to those in the per-protocol analyses.

Table 2.

Comparison of children’s baseline and follow-up measurements and their changes according to maternal gestational diabetes status

Intention-to-treat analyses
Per-protocol analyses
Non-GDM* GDM* β values (95% CI) P value Non-GDM* GDM* β values (95% CI) P value
Number of subjects 578 578 - - 486 426 - -
Z score of BMI for age
 The 5.9-year visit 0.16 (0.12) 0.30 (0.12) 0.15 (0.00, 0.29) 0.049 0.25 (0.14) 0.41 (0.14) 0.16 (0.00, 0.32) 0.052
 The 8.3-year visit 0.31 (0.09) 0.41 (0.09) 0.10 (−0.01, 0.21) 0.062 0.31 (0.09) 0.41 (0.09) 0.11 (0.00, 0.22) 0.057
 Changes from 5.9-year to 8.3-year visit 0.12 (0.07) 0.22 (0.07) 0.10 (0.02, 0.18) 0.020 0.11 (0.09) 0.24 (0.09) 0.13 (0.02, 0.23) 0.018
Waist circumference (cm)
 The 5.9-year visit 55.3 (0.55) 56.4 (0.56) 1.14 (0.49, 1.80) 0.001 55.5 (0.63) 56.7 (0.64) 1.12 (0.41, 1.84) 0.002
 The 8.3-year visit 60.6 (0.66) 62.1 (0.66) 1.46 (0.70, 2.22) <0.001 60.6 (0.66) 62.1 (0.66) 1.48 (0.71, 2.24) <0.001
 Changes from 5.9-year to 8.3-year visit 5.20 (0.66) 6.66 (0.66) 1.46 (0.70, 2.22) <0.001 5.18 (0.66) 6.66 (0.66) 1.48 (0.71, 2.24) <0.001
Body fat (%)
 The 5.9-year visit 20.2 (0.73) 21.4 (0.75) 1.19 (0.31, 2.06) 0.008 20.5 (0.86) 21.8 (0.88) 1.25 (0.26, 2.23) 0.013
 The 8.3-year visit 21.5 (0.67) 22.9 (0.67) 1.46 (0.68, 2.23) <0.001 21.4 (0.67) 22.9 (0.67) 1.48 (0.70, 2.26) <0.001
 Changes from 5.9-year to 8.3-year visit 1.30 (0.52) 3.09 (0.53) 1.78 (1.16, 2.40) <0.001 1.11 (0.68) 3.38 (0.69) 2.27 (1.50, 3.05) <0.001
Triceps skinfold (mm)
 The 5.9-year visit 13.8 (0.51) 13.3 (0.53) −0.47 (−1.08, 0.15) 0.138 13.9 (0.59) 13.4 (0.60) −0.59 (−1.26, 0.08) 0.085
 The 8.3-year visit 14.8 (0.64) 16.8 (0.65) 2.04 (1.30, 2.79) <0.001 14.7 (0.64) 16.8 (0.65) 2.07 (1.32, 2.81) <0.001
 Changes from 5.9-year to 8.3-year visit 1.93 (0.51) 4.33 (0.53) 2.40 (1.78, 3.01) <0.001 1.70 (0.66) 4.63 (0.67) 2.93 (2.18, 3.68) <0.001
Subscapular skinfold (mm)
 The 5.9-year visit 7.67 (0.38) 8.23 (0.39) 0.56 (0.10, 1.02) 0.016 7.74 (0.44) 8.34 (0.44) 0.60 (0.10, 1.10) 0.018
 The 8.3-year visit 10.0 (0.52) 11.2 (0.53) 1.23 (0.62, 1.84) <0.001 9.98 (0.52) 11.2 (0.53) 1.25 (0.64, 1.86) <0.001
 Changes from 5.9-year to 8.3-year visit 2.06 (0.41) 3.65 (0.42) 1.59 (1.10, 2.09) <0.001 1.90 (0.54) 3.88 (0.55) 1.98 (1.37, 2.59) <0.001
Suprailiac skinfold (mm)
 The 5.9-year visit 10.5 (0.60) 11.8 (0.61) 1.33 (0.61, 2.04) <0.001 10.7 (0.68) 12.2 (0.69) 1.41 (0.64, 2.19) <0.001
 The 8.3-year visit 13.9 (0.57) 15.9 (0.58) 1.59 (1.10, 2.09) <0.001 13.5 (0.74) 16.1 (0.75) 2.62 (1.77, 3.47) <0.001
 Changes from 5.9-year to 8.3-year visit 3.27 (0.57) 5.30 (0.58) 2.03 (1.35, 2.71) <0.001 2.95 (0.74) 5.57 (0.75) 2.62 (1.77, 3.47) <0.001

Intention-to-treat analyses, missing values for children who did not finish the 8.3-year visit were imputed using expectation maximization algorithm. Per-protocol analyses, excluding participants who did not finish the 8.3-year visit.

*

Data shown are Means (SE).

Adjusted for maternal information (age, gestational age, education, smoking status, alcohol drinking status, pre-pregnancy BMI, weight gain during pregnancy, and BMI), and children’s information (age, sex, birth weight, outdoor time, screening watching time, sleeping duration, dietary energy intake, dietary fiber intake and energy intake from fat) at the baseline (5.9-year) visit.

Also adjusted for the corresponding adiposity indicators at the baseline visit in the analyses at the 8.3-year visit or changes from the 5.9-year to 8.3-year visit.

The main effects of potential confounders and their interaction with time on childhood adiposity indicators from general linear models of repeated measures were shown in Table 3. Maternal GDM was significantly associated with childhood adiposity indicators, and this association became stronger with time (Table 2 and Table 3).

Table 3.

Main effect and within-subjects effects (time and its interaction with other factors) on childhood adiposity indicators from general linear models of repeated measures

Z score of BMI for age
Waist circumference
Body fat
Triceps skinfold
Subscapular skinfold
Suprailiac skinfold
F value P value F value P value F value P value F value P value F value P value F value P value
Tests of Between-Subjects Effects (main effects)
GDM 6.46 0.011 31.5 <0.001 19.7 <0.001 5.93 0.015 24.9 <0.001 33.5 <0.001
Maternal pre-pregnancy BMI 15.5 <0.001 13.2 <0.001 7.64 0.006 3.48 0.062 5.42 0.020 9.79 0.002
Maternal gestational weight gain 15.4 <0.001 9.03 0.003 10.6 0.001 8.10 0.005 8.50 0.004 7.71 0.006
Maternal age at delivery 1.48 0.224 0.00 0.946 0.19 0.664 0.26 0.613 0.49 0.485 0.03 0.858
Maternal gestational age at delivery 7.56 0.006 6.41 0.011 6.95 0.008 7.04 0.008 1.92 0.166 6.72 0.010
Maternal education 1.99 0.137 1.71 0.182 1.91 0.148 0.51 0.602 1.99 0.137 1.14 0.321
Maternal current smoking 1.30 0.272 2.53 0.080 1.80 0.166 1.63 0.196 0.99 0.373 1.16 0.314
Maternal current alcohol drinking 0.94 0.332 1.69 0.194 0.51 0.474 1.42 0.234 0.28 0.596 0.76 0.385
Maternal BMI at 5.9-year visit 7.14 0.008 3.57 0.059 11.5 0.001 14.8 <0.001 8.29 0.004 7.51 0.006
Childhood age 0.06 0.807 141 <0.001 15.5 <0.001 79.3 <0.001 42.3 <0.001 57.5 <0.001
Childhood sex 7.35 0.007 8.40 0.004 9.45 0.002 5.15 0.023 6.38 0.012 6.89 0.009
Childhood birth weight 17.5 <0.001 6.40 0.012 3.09 0.079 2.44 0.118 0.03 0.868 0.96 0.329
Childhood outdoor activity 1.07 0.302 0.49 0.483 2.31 0.129 1.13 0.287 1.53 0.216 0.67 0.414
Childhood screen watching time 3.59 0.058 5.04 0.025 8.77 0.003 9.75 0.002 5.79 0.016 7.65 0.006
Childhood sleeping duration 2.61 0.074 1.71 0.181 1.29 0.277 1.29 0.276 1.91 0.148 2.93 0.054
Childhood energy intake 83.9 <0.001 130 <0.001 64.0 <0.001 87.0 <0.001 106 <0.001 93 <0.001
Childhood energy intake from fat 14.5 <0.001 16.9 <0.001 10.9 0.001 11.9 0.001 15.6 <0.001 13.9 <0.001
Childhood diet fiber 13.5 <0.001 9.45 0.002 12.1 0.001 9.97 0.002 10.6 0.001 10.9 0.001
Tests of Within-Subjects Contrasts
Time 5.04 0.025 1.69 0.194 0.04 0.841 0.44 0.509 0.05 0.823 2.74 0.098
Time * GDM 3.71 0.054 33.8 <0.001 25.5 <0.001 59.8 <0.001 41.0 <0.001 30.7 <0.001
Time * Maternal pre-pregnancy BMI 0.07 0.786 0.07 0.794 3.10 0.078 1.92 0.166 0.04 0.834 0.06 0.801
Time * Maternal gestational weight gain 0.15 0.701 0.97 0.325 0.05 0.830 0.10 0.755 0.00 0.988 0.00 0.998
Time * Maternal age at delivery 0.02 0.900 0.26 0.613 2.00 0.157 0.19 0.660 1.62 0.204 1.24 0.265
Time * Maternal gestational age at delivery 5.66 0.018 3.07 0.080 2.67 0.102 3.00 0.084 1.86 0.172 7.34 0.007
Time * Maternal education 1.77 0.170 6.39 0.002 5.23 0.005 5.21 0.006 2.98 0.051 2.78 0.062
Time * Maternal current smoking 0.55 0.579 0.99 0.373 0.00 0.999 0.48 0.620 0.30 0.738 0.17 0.847
Time * Maternal current alcohol drinking 1.19 0.275 0.60 0.439 4.79 0.029 4.28 0.039 0.25 0.614 2.33 0.127
Time * Maternal BMI at 5.9-year visit 2.58 0.108 2.50 0.114 0.25 0.616 0.30 0.586 2.91 0.088 1.77 0.184
Time * Childhood age 0.75 0.387 8.29 0.004 10.0 0.002 1.40 0.237 13.0 <0.001 4.16 0.042
Time * Childhood sex 10.68 0.001 5.63 0.018 7.09 0.008 5.69 0.017 1.75 0.186 9.90 0.002
Time * Childhood birth weight 0.10 0.757 3.25 0.072 0.67 0.414 1.11 0.293 0.15 0.695 0.21 0.645
Time * Childhood outdoor activity 0.91 0.341 0.07 0.789 1.04 0.308 0.94 0.332 0.08 0.772 0.01 0.927
Time * Childhood screen watching time 0.02 0.886 0.68 0.411 1.96 0.161 1.58 0.209 0.04 0.849 2.59 0.108
Time * Childhood sleeping duration 1.09 0.337 3.13 0.044 0.73 0.480 1.86 0.156 1.35 0.259 4.95 0.007
Time * Childhood energy intake 0.56 0.454 31.1 <0.001 9.95 0.002 28.5 <0.001 66.0 <0.001 47.0 <0.001
Time * Childhood energy intake from fat 6.32 0.012 9.89 0.002 7.54 0.006 1.07 0.301 3.41 0.065 6.25 0.013
Time * Childhood diet fiber 4.64 0.031 8.15 0.004 7.16 0.008 0.61 0.435 0.57 0.449 0.12 0.725

Results were based on intention-to-treat analyses. All P-values >0.05 for Mauchly's Test of Sphericity.

The associations of maternal GDM with indicators of childhood adiposity at the 5.9-year and 8.3-year visits were shown in Figure 2. After adjustment for potential confounding variables, maternal GDM was associated with higher risks of childhood overweight, obesity, central obesity and high body fat (OR 1.44, 95% CI: 1.03-2.01; OR 1.53, 95% CI: 1.02-2.29; OR 1.57, 95% CI: 1.00-2.44; and OR 1.41, 95% CI: 0.98-2.02, respectively) at 5.9 years of age. The independent association of maternal GDM with indicators of childhood adiposity became stronger at 8.3 years of age, with the multivariable-adjusted ORs at 1.93 (95% CI: 1.36-2.75), 1.94 (95% CI: 1.28-2.94), 1.73 (95% CI: 1.03-2.91), and 2.03 (95% CI: 1.39-2.98) for childhood overweight, obesity, central obesity and high body fat, respectively. The results from the per-protocol analyses were similar as shown in Supplementary Figure 1.

Figure 2.

Figure 2.

Forest plot of odds ratios for the association of maternal gestational diabetes mellitus with indicators of childhood adiposity at the 5.9-year and 8.3-year visits based on the intention-to-treat analyses.

Notes: Intention-to-treat analyses, missing values for children who did not finish the 8.3-year visit were imputed using expectation maximization algorithm. Per-protocol analyses, excluding participants who did not finish the 8.3-year visit. *There were 298 and 23 children in the 5.9-year and 8.3-year visits respectively who were younger than 5 years old and not included since the references were available from 5 years old.

Abbreviations: GDM, gestational diabetes mellitus; OR, odds ratio; CI, confidence interval.

Discussion

The present study longitudinally followed 1,156 mother-child pairs at 5.9±1.2 years postpartum and retained 912 mother-child pairs at 8.3±1.6 years postpartum. The results indicated that maternal GDM was an independent risk factor of childhood overweight/obesity at both 5.9 and 8.3 years of age, and this significant and positive association became stronger among children at 8.3 years than those at 5.9 years of age.

Previous studies found conflicting results on the association between maternal GDM and childhood adiposity. Although three meta-analyses attempted to address the association between maternal GDM and offspring’s overweight at different developmental stages [1012], the conclusions were quite different. One meta-analysis reported that the association of maternal GDM with childhood overweight risk tended to attenuate with the growth of offspring, with the adjusted ORs as 1.35 (1.15-1.58), 1.12 (1.00-1.25) and 0.96 (0.71-1.31) in early, mid and late childhood, respectively [10]. The second meta-analysis indicated that maternal GDM was associated with offspring’s overweight in the pubertal period but not in early and late childhood, with the unadjusted ORs of maternal GDM for offspring overweight risk as 1.03 (0.78-1.37), 0.96 (0.58-1.61) and 1.84 (1.20-2.83) in 2-4, 5-10, and ≥11 years of age, respectively [11]. The third meta-analysis demonstrated that offspring of mothers with GDM had a markedly increased risk of overweight and this association increased with age, with the adjusted ORs of maternal GDM for childhood overweight as 1.14 (1.06-1.22), 1.37 (1.31-1.44), 2.00 (1.79-2.23) and 2.05 (1.65-2.55) among children under 5 years, 5 to <10 years, 10 to <18 years, and over 18 years of age, respectively [12]. The inconsistent findings of these three meta-analyses may be partially due to small sample sizes, especially GDM cases, and inadequate control for major confounders (maternal pre-pregnancy BMI, children’s dietary intake, and physical activity, etc.) [1012]. Besides, most of the original studies included in these three meta-analyses assessed the association of maternal GDM with offspring’s overweight at a single age point, and very few studies assessed if there was any change of this association over time. The Environmental Determinants of Diabetes in the Young (TEDDY) study indicated that maternal GDM was associated with an increased risk of childhood overweight at 6 years of age but not from 3 months to 3 years of age [25]. However, the above positive association of maternal GDM with childhood overweight at 6 years of age became no longer significant after additional adjustment for maternal pre-pregnancy BMI [25]. The present study longitudinally followed 1,156 mother-child pairs from the 5.9-year to 8.3-year visit, and added evidence that children born to GDM mothers had an increased risk of being overweight/obesity in late childhood, and this increased risk became larger from 5.9 years of age to 8.3 years of age. All these findings were independent from several important confounding factors including maternal pre-pregnancy BMI, gestational weight gain, children’s birth weight and lifestyle factors.

BMI has been widely used as a simple measure of defining obesity. However, it only reflects the general weight and cannot differentiate between fat mass and fat-free mass. It has been proven that waist circumference is a surrogate measure to estimate central adiposity. Body fat percent is a direct reflection of overall obesity, and skinfold thickness is conventionally used to classify an individual in terms of relative fat or to evaluate specific subcutaneous tissue fat [14]. Different from most previous studies that assessed the association between maternal GDM and childhood adiposity only using BMI as the indicator to evaluate obesity/overweight, the present study used BMI and other adiposity indicators including waist circumference, body fat percent and skinfolds to reflect obesity, and found that children born to mothers with GDM had higher mean values of adiposity indicators (Z score of BMI for age, waist circumference, body fat, and skinfolds) at 5.9 and 8.3 years of age, and larger mean values of changes in adiposity indicators from 5.9 to 8.3 years of age, in comparison with those born to mothers without GDM.

There are several underlying mechanisms that maternal GDM can increase the risk of offspring’s adiposity, so our findings are biologically plausible. First, development in a diabetic intrauterine environment results in excess fetal growth. Maternal glucose but not maternal insulin can freely cross the placenta, so the developing fetal pancreas responds to this increased glucose load by producing additional insulin, which in turn acts as a fetal growth hormone promoting growth and adiposity [26]. Second, intrauterine exposure to GDM can also lead to epigenetic changes and impact the expression of genes that direct the accumulation of body fat or related metabolism [27].

There are several strengths of our study. First, we used BMI and other adiposity indicators including waist circumference, body fat percent and skinfolds to reflect general obesity, central obesity and adiposity, which would give a more comprehensive picture of obesity. Second, our study recruited a larger number of GDM and non-GDM mother-child pairs matched by children's age and sex, which were more powerful to explore the association between maternal GDM and the risk of childhood adiposity. Third, a variety of covariates were controlled in the multivariable-adjusted analysis, including maternal social-economic characteristics, maternal gestational weight gain, pre-pregnancy BMI and current BMI, children's general characteristics, children’s birth weight, diet and lifestyle, which were identified as important confounders of this association [28, 29]. Children of GDM mothers are more likely to be adiposity due to lifestyle differences between the groups, and the same lifestyle issues may also persist as a household issue. In the present study, we found that children born to GDM mothers had longer screen watching time, shorter sleeping duration, higher fat intake and less diet fiber intake, as compared with their counterparts. In our multivariate analyses, the association of maternal GDM with childhood adiposity risk at 6 and 8 years of age was independent from some confounding factors including maternal pre-pregnancy BMI, gestational weight gain, children’s birth weight, lifestyle factors (outdoor time, screening watching time, sleeping duration, dietary energy intake, dietary fiber intake and energy intake from fat), and other related maternal and children’s factors.

Our study also has limitations. First, this is an observational study where causality cannot be judged. Second, maternal GDM was diagnosed based on the 1999 WHO criteria, which were quite different from other criteria including the International Association of Diabetes and Pregnancy Study Group (IADPSG) criteria [30]. So the extensibility of this study may be affected. Finally, maternal pre-pregnancy weight and gestational weight gain were based on self-reported data, which might introduce recall bias. Nevertheless, validation studies in the United States and England have found good concordance between self-reported information during pregnancy and clinical records [31].

In conclusion, maternal GDM was an independent risk factor of childhood overweight/obesity, central obesity, and high body fat, which was independent from several important confounders including maternal pre-pregnancy BMI, gestational weight gain, children’s birth weight and lifestyle factors at both 5.9 and 8.3 years of age. This significant and positive association became stronger with age. Therefore, children born to GDM mothers should be paid more attention by the health system, and it is critically important for this high-risk group of children to adopt an active lifestyle to reduce the burden of overweight in later life.

Supplementary Material

online Figuew

Key Points.

What is already known about this subject?

Previous studies found conflicting results on the association between maternal gestational diabetes mellitus (GDM) and childhood overweight/obesity, and most of them only used body mass index as the adiposity indicator, which cannot reflect body composition. Evidence from longitudinal studies to assess the association between maternal gestational diabetes mellitus (GDM) and childhood adiposity risk is still needed.

What are the new findings of this manuscript?

It added evidence that maternal GDM was a risk factor of childhood overweight/obesity, central obesity and high body fat at both 6 and 8 years of age, which was independent from several confounders such as maternal pre-pregnancy body mass index, gestational weight gain, children’s birth weight and lifestyle factors. This significant and positive association became stronger with age.

How might your results change the direction of research or the focus of clinical practice?

Children of GDM mothers are facing an increasing risk of obesity with age, and appropriate intervention strategies are needed for this high-risk population.

Funding

This study was supported by grants from the European Foundation for the Study of Diabetes (EFSD)/Chinese Diabetes Society (CDS)/Lilly programme for Collaborative Research between China and Europe, and the National Institute of Diabetes and Digestive and Kidney Diseases (R01DK100790). Dr. Hu was partially supported by the grant from the National Institute of Diabetes and Digestive and Kidney Diseases (R01DK132011), the National Institute of General Medical Sciences (U54GM104940), and the Public University Partnership Program at the Louisiana Department of Health, Bureau of Health Services Financing.

Footnotes

Declaration of interest

All authors have no conflicts of interest.

Data Sharing Statement

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

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Data Availability Statement

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

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