Neurodevelopmental outcome at 1 year in offspring of women with gestational diabetes mellitus.

OBJECTIVE: To study the metabolic derangements in the second half of pregnancy caused by gestational diabetes mellitus(GDM), on the short term neurodevelopment of infants. DESIGN: A prospective cohort study of 555 mother-child pairs were recruited, which included 177 GDM patients and 378 pregnant women with normal glucose tolerance as controls. Clinical and demographic characteristics were obtained at enrollment, birth and follow-up. Neurodevelopment was examined with the Bayley Scales of Infant Development V.1 mental development index (MDI) and psychomotor development index (PDI). Fatty acids (FA) were analyzed by gas chromatography mass spectrometry (GC-MS). RESULTS: Statistically significant differences were found between the two groups in fasting plasma glucose (FPG) and triglyceride (TG). The scores of MDI and PDI of control group were higher than those of GDM group. The regression analysis showed that maternal age and saturated fatty acid (SFA) were independently associated with lower scores on the MDI whereas gestational age and docosahexaenoic acid (DHA) were associated with higher scores; in addition, lower scores on the PDI were associated with FPG and neonatal weigh associated with higher scores. CONCLUSION: SFA, DHA and FPG as indicators of lipid metabolism were associated with neurodevelopmental outcome at 1 year in offspring of women with gestational diabetes mellitus. Control the level of blood glucose and lipid during pregnancy and the appropriate supplementation of DHA during pregnancy in the second half of pregnancy may be beneficial to the neurodevelopment of infants.

Maternal pre-pregnancy obesity and the risk of macrosomia: a meta-analysis.

PURPOSE: The aim of our meta-analysis was to explore whether pre-pregnancy obesity is regarded as an important risk factor for predicting macrosomia or not. METHODS: Three databases were systematically reviewed and reference lists of relevant articles were checked. Meta-analysis of published cohort studies comparing whether pre-pregnancy obesity was associated with macrosomia and adjusting for potential confounding factors. Calculations of pooled estimates were conducted in random-effect model. Heterogeneity was tested by using Chi-square test and I 2 statistics. Publication bias was estimated from Egger's test (linear regression method) and Begg's test (rank correlation method). RESULTS: Sixteen cohort studies met the inclusion criteria. The meta-analysis showed that pre-pregnancy obesity was associated with macrosomia as an important risk factor. The adjusted odds ratio was 1.93, 95% CI (1.65, 2.27) in random-effect model, stratified analyses showed no differences regarding different quality grade, definition of macrosomia, location of study and number of confounding factors adjusted for. There was no indication of a publication bias either from the result of Egger's test or Begg's test. CONCLUSION: Our findings indicated that pre-pregnancy obesity should be considered as an important risk factor for macrosomia. The effect of pre-pregnancy obesity on macrosomia need to be carefully assessed and monitored.

Is gestational diabetes mellitus an independent risk factor for macrosomia: a meta-analysis?

PURPOSE: The aim of our meta-analysis was to explore whether gestational diabetes mellitus (GDM) is an independent risk factor for macrosomia or not. METHODS: Three databases were systematically reviewed and reference lists of relevant articles were checked. Meta-analysis of published epidemiological studies (cohort and case-control studies) comparing whether GDM was associated with macrosomia. Calculations of pooled estimates were conducted in random-effect models. Heterogeneity was tested by using Chi square test and I (2) statistics. Publication bias was estimated from Egger's test (linear regression method) and Begg's test (rank correlation method). RESULTS: Twelve studies met the inclusion criteria, including five cohort studies and seven case-control studies. The meta-analysis showed that GDM was associated with macrosomia independent of other risk factors. The adjusted odds ratio was 1.71, 95% CI (1.52, 1.94) in random-effect model, stratified analyses showed no differences regarding different study design, quality grade, definition of macrosomia, location of study and number of confounding factors adjusted for. There was no indication of a publication bias either from the result of Egger's test or Begg's test. CONCLUSION: Our findings indicate that GDM should be considered as an independent risk factor for newborn macrosomia. To adequately evaluate the clinical evolution of GDM need to be carefully assessed and monitored.

[Impact of maternal weight gain during pregnancy on the risk of infant obesity].

OBJECTIVE: To study the impact of maternal weight gain during pregnancy on the risk of infant obesity within 1 year old. METHODS: A total of 785 infants who were born in Hefei and participated children medical care in one district health center and their mothers were chosen as the research subjects from September 2010 to September 2011. Three groups were classified by weight gain during pregnancy according to the percentiles: excessive pregnancy weight gain group of 126 pairs, adequate pregnancy weight gain group of 542 pairs and inadequate pregnancy weight gain group of 117 pairs. Mother's general demographic information was collected. The height and weight were measured when the infant was 42 days, 3, 6, 9, and 12 months of physical examination. Z score was calculated. The differences of Z score in different groups were compared and the RR values of different weight gain during pregnancy on infant obesity were computed. RESULTS: The weight-for-age Z score (WAZ) of infant at 42 days 3, 6, 9 and 12 months in excessive pregnancy weight gain group were 0.23 ± 0.93, 0.25 ± 1.03, 0.23 ± 0.99, 0.28 ± 1.09, 0.26 ± 1.14, respectively, all higher than that of the corresponding age in adequate pregnancy weight gain group (-0.04 ± 1.02, -0.07 ± 0.99, -0.05 ± 0.98, -0.06 ± 0.97, -0.07 ± 0.95, respectively). The differences were statistically significant (all P values < 0.05). In excessive pregnancy weight gain group, infant body mass index (BMI) at 9 months ((18.01 ± 0.15) kg/m(2)) and 12 months ((17.66 ± 0.15) kg/m(2)) were higher than that of adequate pregnancy weight gain group ((17.63 ± 0.13) and (17.22 ± 0.15) kg/m(2), respectively). The differences were statistically significant (all P values < 0.05). Differences of infant Height-for-age Z score (HAZ) among three groups were not statistically significant (all P values > 0.05). Compared to adequate pregnancy weight gain group, RR (95%CI) value of infant obesity in excessive pregnancy weight gain group was 1.86 (1.14 - 3.03). CONCLUSION: Excessive maternal weight gain during pregnancy increased the risk of infant obesity within 1 year old.

Maternal prepregnancy overweight and obesity and the risk of preeclampsia: A meta-analysis of cohort studies.

OBJECTIVE: The aim of our meta-analysis was to explore whether overweight and obesity was associated with preeclampsia or not. DESIGN: Three databases were systematically reviewed and reference lists of relevant articles were checked. Meta-analysis of published cohort studies comparing whether overweight and obesity was associated with preeclampsia and adjusting for potential confounding factors. Calculations of pooled estimates were conducted in random-effects models. Heterogeneity was tested by using Chi-square test with Cochrane and heterogeneity was explored with meta-regression. Publication bias was estimated from Egger's test (linear regression method) and Begg's test (rank correlation method). RESULTS: Nineteen studies met the inclusion criteria. The meta-analysis showed that overweight and obesity was associated with an increased risk of preeclampsia. The aOR calculated for 13 studies (compared overweight to normal weight) was 1.71, 95% CI (1.52, 1.91) for random-effects models and 19 studies (compared obesity to normal weight) was 2.48, 95% CI (2.05, 2.90) for random-effects models, stratified analyses showed no differences regarding quality grade, location of study and period of anthropometric measurement. There was no indication of a publication bias either from the result of Egger's test or Begg's test. CONCLUSIONS: Our results suggested that prepregnancy maternal overweight and obesity are significantly associated with an increased risk of preeclampsia.

The Association between Advanced Maternal Age and Macrosomia: A Meta-Analysis.

PURPOSE: The aim of our meta-analysis was to explore whether advanced maternal age (AMA) is regarded as an important risk factor for predicting macrosomia or not. METHODS: Three databases were systematically reviewed and reference lists of relevant articles were checked. Meta-analysis of published cohort studies was done comparing whether AMA was associated with macrosomia and adjusting for potential confounding factors. Calculations of pooled estimates were conducted in random-effects models. Heterogeneity was tested by using chi-square test and I2 statistics. Publication bias was estimated from Egger's test (linear regression method) and Begg's test (rank correlation method). RESULTS: Twelve cohort studies met the inclusion criteria. The meta-analysis showed that AMA was associated with macrosomia as an important risk factor. The adjusted odds ratio calculated for 12 studies (compared aged 35-39 years to aged <30 years) was 1.42, 95% confidence interval (CI) (1.25-1.60) for random-effect model and 6 studies (compared aged ≥40 years to aged <30 years) was 1.40, 95% CI (1.02-1.78) for random-effect model. There was no indication of a publication bias either from the result of Egger's test or Begg's test. CONCLUSION: Regardless of the underlying mechanism, our finding indicated that AMA should be considered as an important risk factor for macrosomia. To adequately evaluate the clinical evolution of AMA, the effect of AMA on macrosomia need to be carefully assessed and monitored.