Reasons for the increasing incidence of macrosomia in Harbin, China

Maternal Height Is an Independent Risk of Adverse Outcomes in Women with Gestational Diabetes Mellitus

INTRODUCTION

Maternal height has been shown to be associated with adverse outcomes in women with gestational diabetes mellitus (GDM). The aim of this study is to evaluate the association between maternal height and adverse outcomes stratified for gestational weight gain (GWG) and pre-pregnancy body mass index (BMI) in women with GDM.

METHODS

We conducted a retrospective study that included 2048 women diagnosed with GDM during 24-28 gestational weeks from July 1, 2017, to June 30, 2018, in Zhejiang Province, China. Demographic data, maternal characteristics and pregnancy complications were extracted from medical records. Maternal height was divided into three categories by tertiles. Chi-square was used to evaluate categorical data while one-way ANOVA was utilized to analyze continuous variables. The relationship between maternal height and adverse outcomes was examined using logistic regression.

RESULTS

We found that shorter women had higher rates of low birth weight (LBW) (p = 0.003) and primary cesarean section (primary CS) (p < 0.001) while taller women had higher rates of abnormal neonatal ponderal index (p < 0.001), postpartum hemorrhage (p = 0.044) and macrosomia (p < 0.001). In taller women who had excess GWG, maternal height was positively associated with the risk of macrosomia (aOR 1.97, 95% CI 0.95-4.10). In shorter women who had inadequate GWG, maternal height was significantly associated with LBW (aOR 2.20, 95% CI 1.13-4.29) and primary CS (aOR 2.08, 95% CI 1.38-3.12). Maternal height was a protective factor of postpartum hemorrhage (aOR 0.15, 95% CI 0.03-0.72) in shorter women with excess GWG. In women with normal pre-pregnancy BMI, maternal height was positively associated with LBW (aOR 2.00, 95% CI 1.15-3.49) and primary CS (aOR 1.71, 95% CI 1.28-2.28) in shorter women while it was negatively associated with the risk of abnormal neonatal ponderal index in both shorter and taller women compared to average height women (aOR 0.71, 95% CI 0.55-0.92; aOR 0.66, 95% CI 0.51-0.85).

CONCLUSION

The association between maternal height and adverse pregnancy outcomes varies with pre-pregnancy BMI and GWG in GDM women. Taking maternal height, pre-pregnancy BMI and GWG into account and using personalized prenatal management may reduce the risk of adverse pregnancy outcomes in GDM.

Association between Maternal Body Composition in Second Trimester and Risk of Fetal Macrosomia: A Population-Based Retrospective Study in China

(1) Background: Female body composition undergoes significant changes to support fetal growth and development during pregnancy. This study investigated the association of maternal body composition in the second trimester and macrosomia and explored whether body-composition-related indicators could be used to predict macrosomia. (2) Methods: This study was conducted in China from December 2016 to December 2021. Women with singleton pregnancies, gestational ages between 37 and 42 weeks, and an absence of pregnancy complications were included. In the second trimester, bioelectric impedance analysis (BIA) was used to measure body-composition-related indicators. Logistic regression analysis was performed to explore the risk factors for macrosomia. The predictive performance of maternal body composition and clinical indicators for macrosomia were assessed using the area under the receiver-operating-characteristics curve (AUC). (3) Results: This retrospective study involved 43,020 pregnant women; we collected 2008 cases of macrosomia. Gravidity, gestational age, body mass index (BMI), gestational weight gain (GWG), total body water, fat mass, fat-free mass (FFM), skeletal muscle mass, and visceral fat level were risk factors for macrosomia (p < 0.05 for all). In the prediction model, the AUC of FFM for predicting macrosomia was the largest (0.742). (4) Conclusions: Body-composition-related indicators associated with macrosomia and body composition measurements in the second trimester can predict the risk of macrosomia, enabling clinicians to implement interventions earlier to reduce adverse perinatal outcomes.

Relationship between large and small for gestational age and hospital readmission after postpartum discharge: a population-based, data-linkage study

This study aims to determine the association of small for gestational age (SGA) and large for gestational age (LGA) at birth with hospital readmission after postpartum discharge for up to 28 days of delivery. This is a population-based, data-linkage study using the French National Uniform Hospital Discharge Database. "Healthy" singleton term infants born between January 1st, 2017, and November 30th, 2018, in the French South region were included. SGA and LGA were defined as birth weight < 10th and > 90th percentiles, respectively, according to sex and gestational age. A multivariable regression analysis was performed. Among 67,359 included infants, 2441 (3.6%) were readmitted, and 61% of them were hospitalized within 14 days postpartum. Hospitalized infants were more likely to be LGA at birth (10.3% vs. 8.6% in non-hospitalized infants, p < 0.01); the proportion of SGA infants did not differ between both groups. Compared to appropriate birth weight for GA (AGA) infants, LGA infants were more often hospitalized for infectious diseases (57.7% vs. 51.3%, p = 0.05). After regression analysis, LGA infants had a 20% higher odds of being hospitalized than those born AGA (aOR (95%CI) = 1.21 (1.06-1.39)), while aOR (95%CI) for SGA was 1.11 (0.96-1.28).

CONCLUSION

 In contrast to SGA, LGA was associated with hospital readmission during the first month of life. Follow-up protocols that include LGA should be evaluated.

WHAT IS KNOWN

• Newborns are at high risk of hospital readmission during the postpartum period. • However, the influence of appropriateness for gestational age at birth, i.e. being born small for gestational age (SGA) or large for gestational age (LGA), has been little evaluated.

WHAT IS NEW

• In contrast to SGA born infants, we found that infants born LGA were at high risk of hospital admission and the main cause was infectious diseases. • This population should be considered at risk of early adverse outcomes and should require attentive medical follow-up after postpartum discharge.

Risk factors combine in a complex manner in assessment for macrosomia

BACKGROUND

Macrosomia is a serious public health concern. This study aimed to examine the combined effects of various risk factors on macrosomia.

METHODS

The China Labor and Delivery Survey was a multicenter cross-sectional study that included 96 hospitals. Logistic regression analysis was performed to examine the combined effects of the risk factors for macrosomia. The population attributable risk percentage (PAR%) was calculated for the risk factors.

RESULTS

A total of 64,735 live births, including 3,739 neonates with macrosomia, were used for the analysis. The weighted prevalence of macrosomia was 5.8%. Pre-pregnancy overweight/obesity, diabetes, and gestational hypertension have a synergistic effect on increasing the rate of macrosomia in mothers aged < 36 years. The highest odds ratio (36.15, 95% CI: 34.38-38.02) was observed in female fetuses whose mothers had both gestational hypertension and diabetes. However, in mothers aged ≥ 36 years, the synergistic effect of gestational hypertension and other factors did not exist, and the risk for macrosomia was reduced by 70% in female fetuses of mothers with both gestational hypertension and overweight/obesity. Pre-pregnancy risk factors (pre-pregnancy overweight/obesity and advanced maternal age) contributed the most to macrosomia (23.36% of the PAR%), and the single largest risk factor was pre-pregnancy overweight/obesity (17.43% of the PAR%).

CONCLUSION

Macrosomia was related to several common, modifiable risk factors. Some factors have combined effects on macrosomia (e.g., pre-pregnancy overweight/obesity and diabetes), whereas gestational hypertension varies by maternal age. Strategies based on pre-pregnancy risk factors should be given more attention to reduce the burden of macrosomia.

Investigation and Application of Risk Factors of Macrosomia Based on 10,396 Chinese Pregnant Women

OBJECTIVE

The objective of this study was to examine the association of fetal macrosomia with maternal D-dimer and blood lipid levels, and explore whether D-dimer and blood lipids, either alone or in combination with traditional risk factors at hospital birth, could be used to predict subsequent delivery of macrosomia.

METHODS

From April 2016 to March 2017, 10,396 women with singleton pregnancy giving birth at around 28-41 weeks of gestation were recruited into the present study. D-dimer and blood lipid levels were measured at hospital admission; and data on birth outcomes were obtained from hospital records.

RESULTS

Multivariate logistic regression analysis showed that D-dimer, triglyceride and HDL-C levels were significantly associated with risk of macrosomia independent of traditional risk factors (for D-dimer: adjusted OR: 1.33, 95% CI, 1.23-1.43; for triglyceride: adjusted OR: 1.14, 95% CI, 1.05-1.23; for HDL-C: adjusted OR: 0.35, 95% CI, 0.24-0.51, all P <0.01). More importantly, incorporating D-dimer and blood lipids into the traditional model significantly increased the area under curve (AUC) for prediction of macrosomia (0.783 vs. 0.811; P <0.01).

CONCLUSION

Our study demonstrates that maternal D-dimer, triglyceride, and HDL-C levels before hospital birth could be significant and independent of risk factors of fetal macrosomia. Therefore, combining D-dimer and blood lipid levels with traditional risk factors might improve the ability to predict macrosomia in gestational diabetes mellitus and normal pregnancies.

Macrosomia and large for gestational age in Asia: One size does not fit all

Macrosomia, usually defined as infant birth weight of ≥4000 g, does not consider gestational age, sex, or country/region-specific differences in mean birth weight and maternal body weight. This issue is particularly relevant for Asia, where 60% of the world's population lives, due to variations in maternal size and birth weights across populations. Large for gestational age (LGA), defined as birth weight > 90th centile, is a more sensitive measure as it considers gestational age and sex, though it is dependent on the choice of growth charts. We aimed to review reporting of macrosomia and LGA in Asia. We reviewed the literature on prevalence and risk of macrosomia and LGA in Asia over the last 29 years. Prevalence of macrosomia ranged from 0.5% (India) to 13.9% (China) while prevalence of LGA ranged from 4.3% (Korea) to 22.1% (China), indicating substantial variation in prevalence within and between Asian countries. High pre-pregnancy body mass index, excessive gestational weight gain, and impaired glucose tolerance conferred risk of macrosomia/LGA. Incidence of macrosomia and LGA varies substantially within and between Asian countries, as do the growth charts and definitions. The latter makes it impossible to make comparisons but suggests differences in intrauterine growth between populations. Reporting LGA, using standardized country/regional growth charts, would better capture the incidence of high birth weight and allow for comparison and identification of contributing factors. Better understanding of local drivers of excessive intrauterine growth could enable development of improved strategies for prevention and management of LGA.

The Interactive Effect of Prepregnancy Overweight/Obesity and Isolated Maternal Hypothyroxinemia on Macrosomia

CONTEXT

Prepregnancy overweight/obesity (OWO) and isolated maternal hypothyroxinemia (IMH) may increase the risk of macrosomia, but little is known about their potential combined effect on macrosomia.

OBJECTIVE

The aim of this study was to assess whether prepregnancy OWO and first-trimester IMH have a synergistic effect on the risk of macrosomia.

METHODS

A large prospective cohort study in a Chinese population from January 2016 to December 2018 in a tertiary care center. In total, 34 930 pregnant women were included. The main outcome measure was macrosomia.

RESULTS

A total of 34 930 participants comprising IMH and euthyroid cases was included in this study. Prepregnancy OWO and first-trimester IMH were independently associated with an increased risk of macrosomia (adjusted odds ratio [OR] 2.48, 95% CI 2.22, 2.78, and adjusted OR 1.65, 95% CI 1.34, 2.01, respectively). The coexistence of prepregnancy OWO and IMH was associated with macrosomia, with an adjusted OR of 5.26 (95% CI 3.9, 7.0) compared with pregnant women without either condition. The additive interaction between prepregnancy OWO and IMH was found to be significant with regard to macrosomia.

CONCLUSION

Prepregnancy OWO and IMH in the first trimester may synergistically increase the risk of macrosomia.

The second pregnancy has no effect in the incidence of macrosomia: a cross-sectional survey in two western Chinese regions

BACKGROUND

After the implementation of the universal two-child policy in China, the increase in parity has led to an increase in adverse pregnancy outcomes. The impact of one and two fetuses on the incidence of fetal macrosomia has not been fully confirmed in China. This study aimed to explore the differences in the incidence of fetal macrosomia in first and second pregnancies in Western China after the implementation of the universal two-child policy.

METHODS

A total of 1598 pregnant women from three hospitals were investigated by means of a cross-sectional study from August 2017 to January 2018. Participants were recruited by convenience and divided into first and second pregnancy groups. These groups included 1094 primiparas and 504 women giving birth to their second child. Univariate and multivariate logistic regression analyses were performed to discuss the differences in the incidence of fetal macrosomia in first and second pregnancies.

RESULTS

No significant difference was found in the incidence of macrosomia in the first pregnancy group (7.2%) and the second pregnancy group (7.1%). In the second-time pregnant mothers, no significant association was found between the macrosomia of the second child (5.5%) and that of the first child (4.7%). The multivariate logistic regression model showed that mothers older than 30 years are not likely to give birth to children with macrosomia (odds ratio (OR) 0.6, 95% confidence interval (CI) 0.4,0.9).

CONCLUSIONS

The incidence of macrosomia in Western China is might not be affected by the birth of the second child and is not increased by low parity.

Maternal body mass index and risk of neonatal adverse outcomes in China: a systematic review and meta-analysis

BACKGROUND

Maternal body mass index is linked to short- and long-term unfavorable health outcomes both for child and mother. We conducted a systematic review and meta-analysis of population-based cohort studies to evaluate maternal BMI and the risk of harmful neonatal outcomes in China.

METHODS

Six databases identified 2454 articles; 46 met the inclusion criteria for this study. The dichotomous data on maternal BMI and harmful neonatal outcomes were extracted. Pooled statistics (odds ratios, ORs) were derived from Stata/SE, ver. 12.0. Sensitivity analyses assessed the robustness of the results. Meta-regression and subgroup meta-analyses explored heterogeneity.

RESULTS

The meta-analysis revealed that compared with normal BMI, high maternal BMI is associated with fetal overgrowth, defined as macrosomia ≥4000 g (OR 1.91, 95% CI 1.75-2.09); birth weight ≥ 90% for gestational age (OR 1.88, 95% CI 1.64-2.15); and increased risk of premature birth (OR 1.38, 95% CI 1.25-2.52) and neonatal asphyxia (OR 1.74, 95% CI 1.39-2.17). Maternal underweight increased the risk of low birth weight (OR 1.61, 95% CI 1.33-1.93) and small for gestational age (OR 1.75, 95% CI 1.51-2.02).

CONCLUSIONS

Raised as well as low pre-pregnancy BMI is associated with adverse neonatal outcomes. Management of weight during pregnancy might help reduce their adverse neonatal outcomes in future intervention studies or programmes.

Intergenerational transmission of macrosomia in women with gestational diabetes and normal glucose tolerance

OBJECTIVES

It has been suggested that neonatal macrosomia may contribute to increased risk of obesity and type 2 diabetes in later life. Much less is known about the association between maternal birth weight (MBW) and offspring birth weight (OBW). This retrospective study evaluated the prevalence of macrosomia in women with treated gestational diabetes mellitus (GDM) and normal glucose tolerance during pregnancy. The study also investigated associations between MBW and OBW.

STUDY DESIGN

Medical records of 519 pregnant women with treated GDM and 766 women with normal glucose tolerance, referred to the Gestational Diabetes Outpatient Clinic in Szczecin, Poland, were analyzed. The following data were assessed: maternal age, pregravid body weight, height, gestational weight gain, prior GDM, prior macrosomia, MBW and OBW. Birth weight was classified as small for gestational age (SGA), appropriate for gestational age (AGA), large for gestational age (LGA) and macrosomia (≥4000g). OBW was obtained from birth certificates, and MBW was obtained from birth certificates or self-report.

RESULTS

The overall prevalence of macrosomia was 8.1%, and was comparable in subgroups of women with and without GDM (7.7% and 8.4%, respectively; p=0.905). The frequencies of SGA, AGA and LGA did not differ between study groups. A positive correlation was found between MBW and OBW in women with treated GDM (r=0.211, p<0.001) and in women with normal glucose tolerance (r=0.220, p<0.001). Regardless of glucose tolerance status during pregnancy, the greatest proportion of macrosomic babies were born to mothers who were themselves born macrosomic (26.5% in mothers with GDM and 20.0% in mothers with normal glucose tolerance; p=0.631). On logistic regression, MBW was found to be a robust predictor of macrosomia in offspring [odds ratio (OR) 1.64, 95% confidence interval (CI) 1.15-2.36 in women with treated GDM; OR 1.35, 95% CI 1.07-1.76 in women with normal glucose tolerance). Other independent predictors of fetal macrosomia were gestational weight gain, prior macrosomia and pregravid body mass index (BMI).

CONCLUSIONS

MBW, prior macrosomia, pregravid BMI and gestational weight gain were predictors of macrosomia in offspring, but GDM was not. High MBW seems to contribute to intergenerational transmission of macrosomia.

The intergenerational effects on birth weight and its relations to maternal conditions, São Paulo, Brazil

Background and Objectives. Parents' birth weight acts as a predictor for the descendant birth weight, with the correlation more strongly transmitted through maternal line. The present research aims to study the correlation between the child's low or increased birth weight, the mother's birth weight, and maternal conditions. Methods. 773 mother-infant binomials were identified with information on both the baby's and the mother's birth weight recorded. Group studies were constituted, dividing the sample according to birth weight (<2,500 grams (g) and ≥3,500 grams (g)). The length at birth was also studied in children ≤47.5 cm (lower quartile). Chi² test or Fisher's exact test, Spearman's Rho, and odds ratio were performed in order to investigate the relation between the children's weight and length at birth and the mothers' and children's variables. Results. The girls were heavier at birth than their mothers, with an average increase at birth weight between the generations of 79 g. The child's birth weight <2,500 g did not show any correlation with maternal birth weight <2,500 g (Fisher 0.264; Spearman's Rho 0.048; OR 2.1 and OR lower 0.7) or with maternal stature below the lower quartile (<157 cm) (Chi² sig 0.323; with Spearman's Rho 0.036; OR 1.5 and OR lower 0.7). The child's low birth weight (<2,500 g) was lightly correlated with drug use by the mother during pregnancy (Fisher 0.083; Spearman's Rho 0.080; OR 4.9 and OR lower 1.0). The child's birth weight <2,500 g showed increased correlation with gestational age lower than 38 weeks and 3 days (Chi² sig 0.002; Spearman's Rho 0.113; OR 3.2 and OR lower 1.5). The child's weight at birth ≥3,500 g showed strong correlation with maternal weight at birth ≥3,500 g (Chi² sig 0; Spearman's Rho +0.142; OR 0.5 and OR upper 0.7). It was also revealed that the higher the maternal prepregnancy BMI, the stronger the correlation with child's birth weight ≥3,500 g ((maternal prepregnancy BMI > 25.0 with Chi² sig 0.013; Spearman's Rho 0.09; OR 1.54 and OR upper 2.17) and (maternal prepregnancy BMI > 30.0 with Chi² sig 0 Spearman's Rho 0.137; OR 2.58 and OR upper 4.26)). The child's length at birth in the lower quartile (≤47.5 cm) showed strong correlation with drug use by the mother during pregnancy (Chi² sig 0.004; Spearman's Rho 0.105; OR 4.3 and OR lower 1.5). Conclusions. The mother's increased weight at birth and the prenatal overweight or obesity were correlated with increased weight and length at birth of the newborn, coupled with the tendency of increasing birth weight between generations of mothers and daughters. Also, descendants with smaller length at birth are the children of women with the lowest statures.

Maternal glucose level and body mass index measured at gestational diabetes mellitus screening and the risk of macrosomia: results from a perinatal cohort study

OBJECTIVE

To examine the impact of maternal blood glucose (BG) level and body mass index (BMI) measured at gestational diabetes mellitus (GDM) screening on the risk of macrosomia.

DESIGN

A perinatal cohort of women were followed up from receiving perinatal healthcare to giving birth.

SETTING

Beichen District, Tianjin, China between June 2011 and October 2012.

PARTICIPANTS

1951 women aged 19-42 years with valid values of BMI and BG level at GDM screening (24-28 weeks gestation), singleton birth and birth weight (BW)>2500 g.

MAIN OUTCOMES AND MEASURES

Primary outcome was macrosomia (BW>4000 g). BG level and BMI were measured at GDM screening.

RESULTS

191 (9.7%) newborns were macrosomia. The ORs (95% CIs) of macrosomia from multiple logistic regression were 1.14 (1.10 to 1.19, p<0.0001) for BMI and 1.11 (1.01 to 1.23, p=0.03) for BG. When BMI and BG levels (continuous) were modelled simultaneously, the OR for BMI was similar, but significantly attenuated for BG. Areas of receiver operating characteristics (ROC) were 0.6530 (0.6258 to 0.6803) for BMI and 0.5548 (0.5248 to 0.5848) for BG (χ(2)=26.17, p<0.0001). BG (mmol/L, <6.7, 6.7-7.8 or ≥7.8) and BMI in quintiles (Q1-Q5) were evaluated with BG <6.7 and Q2 BMI as the reference group. The ORs of macrosomia were not statistically different for mothers in Q1 or Q2 of BMI regardless of the BG levels; the ORs for ≥Q3 of BMI were elevated significantly with the highest OR observed in Q5 of BMI and BG levels ≥7.8 (6.93 (2.61 to 18.43), p<0.0001).

CONCLUSIONS

High BMI measured at GDM screening was the most important determinant for risk of macrosomia. These findings suggest that GDM screening may be a critical gestational time point to initiate maternal weight control oriented intervention strategy to lower the risk.

Is fetal macrosomia related to blood pressure among adolescents? A birth cohort study in China

Birth weight (BW) has effects on blood pressure (BP). In order to explore the effects of macrosomia on BP in childhood and in adolescence, a longitudinal cohort study was conducted in Wuxi, China. Subjects with BW ≥4000 g, born in 1993-1995, were the exposed group; the unexposed comparisons were matched by year of birth and sex of infant, with BW of 2500-4000 g. Follow-ups in 2005-6 and 2011-12 were conducted, and height, weight and BP were measured by trained doctors. Multi-mixed models in SAS were used to control for repeated measures to explore the effects of fetal macrosomia on BP. At the inception of the cohort, 1595 pairs of participants were recruited. At the end, 1112 in the exposed group and 1126 in the unexposed group finished both follow-ups. Among adolescents, mean (s.d.) of systolic BP (SBP) was 110.83 (9.43)  mm  Hg, which was statistically significantly higher than that in the unexposed group (mean ± s.d.: 109.33 ± 9.26)  mm  Hg (P=0.0002). After adjusting the repeated measures and birth year, sex, mother's occupation and delivery age, adding weight during pregnancy, hypertension during delivery, gestational age and parity, being a picky eater in childhood, the macrosomia group had higher SBP than the normal BW group; the parameter estimate value was 1.03 (s.e.=0.30). When BMI in childhood and BMI in adolescence were added in the multi-model, the estimated β was 0.71 (s.e.=0.29). No statistically significant effect of macrosomia was found on diastolic BP among adolescents in the multianalysis.

Outcomes of gestational diabetes in Sweden depending on country of birth

OBJECTIVE

To analyze maternal and neonatal outcomes for women with gestational diabetes mellitus (GDM) in Sweden, depending on country of birth (Nordic vs. non-Nordic women).

DESIGN

Population-based cohort study using the Swedish Medical Birth register.

SETTING

Data on pregnant women in Sweden with diagnosed GDM.

POPULATION

All singleton births to women with GDM between 1998 and 2007 (n = 8560).

METHODS

Logistic regression in an adjusted model to assess the risk of adverse maternal and neonatal outcomes. Chi-squared tests or Student's unpaired t-tests were used to analyze differences between maternal and fetal characteristics.

MAIN OUTCOME MEASURES

Maternal and neonatal complications.

RESULTS

GDM incidence was higher at 2.0% among non-Nordic women, compared with 0.7% in the Nordic group. The non-Nordic women were older, had less chronic hypertensive disease, smoked less, and had lower BMI and shorter height. Preeclampsia was significantly lower in the non-Nordic group. The mean birthweight (3561 vs. 3698 g, p < 0.001) and the large-for-gestational age rate (11.7 vs. 17.5%, p < 0.001) were significantly lower in the non-Nordic group. Large-for-gestational age was dependent on maternal height [crude odds ratio 0.6 (0.5-0.7) and adjusted odds ratio 0.8 (0.6-0.9)].

CONCLUSIONS

Non-Nordic women with GDM in Sweden have better obstetrical and neonatal outcomes than Nordic women. These results do not support the idea of inequality of health care. Large-for-gestational age as a diagnosis is highly dependent on maternal height, which raises the question of the need for individualized growth curves.

Risk factors and long-term health consequences of macrosomia: a prospective study in Jiangsu Province, China

We sought to determine risk factors associated with fetal macrosomia and to explore the long-term consequence of infant macrosomia at the age of 7 years. A prospective population based cohort study was designed to examine the associations between maternal and perinatal characteristics and the risk of macrosomia. A nested case-control study was conducted to explore the long-term health consequence of infant macrosomia. The mean maternal age of the macrosomia group was 24.74±3.32 years, which is slightly older than that in the control group (24.35±3.14 years, P = 0.000). The mean maternal body mass index (BMI) at early pregnancy was 22.75±2.81 kg/m², which was also higher than that in the control group (21.76±2.59 kg/m², P = 0.000). About 64.6% of macrosomic neonates were males, compared with 51.0% in the control group (P = 0.000). Compared with women with normal weight (BMI: 18.5-23.9 kg/m²), women who were overweight (BMI: 24-27.9 kg/m²) or obese (BMI≥28 kg/m²), respectively, had a 1.69-fold (P = 0.000) and a 1.49-fold (P = 0.000) increased risks of having a neonate with macrosomia, while light weight (BMI<18.5 kg/m²) women had an approximately 50% reduction of the risk. Furthermore, macrosomia infant had a 1.52-fold and 1.50-fold risk, respectively, of developing overweight or obesity at the age of 7 years (P = 0.001 and P = 0.000). Older maternal age, higher maternal BMI at early pregnancy and male gender were independent risk factors of macrosomia. Macrosomic infant was associated with an increased predisposition to develop overweight or obesity at the beginning of their childhood.

High birth weight and obesity--a vicious circle across generations

OBJECTIVES

Rates of high birth weight infants, overweight and obese children and adults are increasing. The associations between birth weight and adult weight may have consequences for the obesity epidemic across generations. We examined the association between mothers' birth weight for gestational age and adult body mass index (BMI) and these factors' joint effect on risk of having a large-for-gestational-age (LGA) offspring (>+2 s.d. above the mean).

DESIGN

A cohort of 162 676 mothers and their first-born offspring with birth information recorded on mothers and offspring in the nation-wide Swedish Medical Birth Register 1973-2006.

RESULTS

Compared with mothers with appropriate birth weight for gestational age (AGA; -1 to +1 s.d.), mothers born LGA had increased risks of overweight (BMI 25.0-29.9; odds ratio (OR), 1.50; 95% CI 1.39-1.61), obesity class I (BMI 30.0-34.9; OR 1.77; 95% CI 1.59-1.98), obesity class II (BMI 35.0-39.9; OR 2.77; 95% CI 2.37-3.24) and obesity class III (BMI ≥40.0; OR 2.04; 95% CI 1.49-2.80). In each stratum of mother's birth weight for gestational age, risk of having an LGA offspring increased with mother's BMI. The risk of an LGA offspring was highest among women with a high (≥30) BMI who also had a high birth weight for gestational age (>+1 s.d.). In these groups, the ORs for LGA offspring ranged from 5 to 14 when compared with mothers born AGA with normal BMI (≤24.9). However, the strongest increase in risk by BMI was seen among mothers born SGA: the OR of having an LGA offspring was 13 times as high among SGA mothers with BMI ≥35.0 compared with the OR among SGA mothers with normal BMI (ORs=4.61 and 0.35, respectively).

CONCLUSIONS

Prenatal conditions are important for the obesity epidemic. Prevention of LGA births may contribute to curtail the intergenerational vicious cycle of obesity.