Effectiveness of nutritional counseling with overweight pregnant women on child growth at 6 months: A randomized controlled trial.

OBJECTIVE: Studies that have investigated the effect of nutritional counseling during the prenatal period on the follow-up outcomes of children at 6 mo have produced inconclusive results. The present study aimed to investigate the effect of nutritional counseling, based on the NOVA food classification, encouraging the consumption of fresh and minimally processed foods, with overweight adult pregnant women on infant growth at 6 mo of age. METHODS: A randomized controlled trial with 195 pairs of pregnant overweight women and their infants at 6 mo of age was conducted in a Brazilian municipality. The pregnant women were allocated to the control group (CG) or intervention group (IG) at the beginning of the pregnancy. The IG received three sessions of nutrition counseling throughout the pregnancy. Linear regression models were used to investigate the effect of the nutritional counseling on infant growth. RESULTS: One hundred ninety-five mother-infant pairs with complete data were included (96 CG, and 99 IG). The mean ± SD infant weight (g) at 6 mo was 7856.1 ± 1.1, and length (cm) was 67.0 ± 2.9. There were no differences in maternal and newborn characteristics between the groups. In the linear regression models, the counseling had no effect on anthropometric parameters of the infants at 6 mo of age: weight-for-length Z-score (ß 0.089 [95% CI -0.250; 0.427], P = 0.61); length-for-age Z-score (ß 0.032 [95% CI -0.299; 0.363], P = 0.85); weight-for-age Z-score (ß 0.070 [95% CI -0.260; 0.400], P = 0.68); BMI-age Z-score (ß 0.072 [95% CI -0.270; 0.414], P = 0.68). CONCLUSIONS: There was no effect on infant growth at 6 mo of age after the nutritional counseling during pregnancy. Future studies are needed to confirm this hypothesis.

Do Lifestyle Interventions in Pregnant Women with Overweight or Obesity Have an Effect on Neonatal Adiposity? A Systematic Review with Meta-Analysis.

Excessive body fat at birth is a risk factor for the development of childhood obesity. The aim of the present systematic review with meta-analysis was to evaluate the effect of lifestyle interventions in pregnant women with overweight or obesity on neonatal adiposity. The PubMed, Embase, Web of Science, Scopus, and LILACS databases were used as information sources. Original articles from randomized clinical trials of lifestyle intervention studies on pregnant women with excessive body weight and the effect on neonatal adiposity were considered eligible. The risk of bias was assessed using Cochrane criteria. The meta-analysis was calculated using the inverse variance for continuous data expressed as mean difference (MD), using the random effect model with a 95% confidence interval (CI). The outcomes were submitted to the GRADE evaluation. Of 2877 studies, four were included in the qualitative and quantitative synthesis (n = 1494). All studies were conducted in developed countries, with three including pregnant women with overweight or obesity, and one only pregnant women with obesity. The interventions had no effect on neonatal adiposity [Heterogeneity = 56%, MD = -0.21, CI = (-0.92, 0.50)] with low confidence in the evidence, according to GRADE. Studies are needed in low- and medium-developed countries with different ethnic-racial populations. PROSPERO (CRD42020152489).

Indices of dietary fat quality during midpregnancy is associated with gestational diabetes.

OBJECTIVE: To investigate the relationship between gestational diabetes mellitus (GDM) and the usual intake of fatty acids and indices of dietary fat quality [the atherogenicity (AI) and thrombogenicity indices (TI), and the ratios of hypo-and hypercholesterolemic (hH), ∑n-3/∑n-6, and polyunsaturated/saturated fatty acids (P:S)], during mid-pregnancy. METHODS: 799 adult pregnant women living in Ribeirão Preto, SP, Brazil were screened and accepted for this cross-sectional GDM study. The Multiple Source Method was used to estimate participants' usual diet, using two 24-hour dietary recalls during mid-pregnancy. Diagnosis of GDM was defined by the American Diabetes Association criteria of 2015. Logistic regression analysis were used to assess the association between GDM and dietary fat, adjusted for age, education, parity, gestational age at the time of the interview, pre-pregnancy and current BMI, prior GDM, family history of diabetes, smoking, physical activity, energy, fiber, and fatty acids. RESULTS: The mean (standard deviation) age of the women was 28 (5) years, and 19% had GDM. After multiple adjustments, inverse associations between the highest tertile of ∑n-3 fatty acids intake [0.21 (0.08-0.56)], α-linolenic intake [0.15 (0.05-0.42)], and GDM were found. A positive association between GDM and the highest tertile of TI [2.66 (1.34-5.29)], and a negative association with the highest tertile of hH ratio [0.41 (0.22-0.77)], were observed. No association between GDM and other indices of dietary fat quality were found. CONCLUSION: The quality of dietary fat during pregnancy is strongly associated with GDM. Randomized clinical trial are needed to confirm these findings.

Relative validation of a quantitative FFQ for use in Brazilian pregnant women.

OBJECTIVE: To evaluate the ability of an FFQ, designed for use in Brazilian pregnant women, to estimate nutrient intakes during pregnancy. DESIGN: A prospective study was conducted among 103 pregnant women attended by the Brazilian national health-care service. Food intake during pregnancy was evaluated by three 24 h dietary recalls (24hR), one per trimester of pregnancy, and also by two FFQ. The FFQ with eighty-five food items included questions about frequency of intake and portion sizes during two periods: the first 24 weeks of pregnancy and the pregnancy period as a whole. Deattenuated Pearson's correlation coefficients and joint classification into quartiles of nutrient intake were applied. SETTING: Ribeira˜o Preto, Sa˜o Paulo State, Brazil. SUBJECTS: One hundred and three pregnant women, aged 18­35 years. RESULTS: Acceptable correlation coefficients (r > 0.35) were found for Ca, K, Zn, Mg, fibre, vitamin C, niacin and folic acid for intake for the first 24 weeks; and for energy, lipids, protein, carbohydrate, Fe, K, Zn, fibre, vitamin B6, riboflavin and niacin for the gestational period as a whole. A high proportion of study participants (≥ 70 %) were categorized into the same or adjacent quartiles for estimated energy, carbohydrate, Ca, K, fibre, Zn, cholesterol, vitamin A, riboflavin, niacin, vitamin C, vitamin E and folic acid. Gross misclassification ranged from 2.3% (dietary fibre) to 12.5% (vitamin A, thiamin and SFA). CONCLUSIONS: The FFQ is a useful tool for assessing categories of nutrient intake during pregnancy, since a high proportion of women were classified into the same or adjacent quartiles.