Maternal food insecurity increases the risk of low birth weight babies: Systematic review and meta-analysis.

AIM: To ascertain whether maternal food insecurity was associated with low birth weight of their babies. METHODS: Systematic review conducted following the items of the Preferred Reporting Items for Systematic Reviews-PRISMA, and recorded in PROSPERO. The descriptors food security, low birth weight and infant low birth weight were combined in the electronic databases: Scopus, PubMed, Cochrane Library, Latin American and Caribbean Health Sciences Literature and Google Scholar, independently by two researchers, between October 2022 and September 2023. The meta-analysis of the association between food insecurity and low birth weight was conducted. The included studies underwent quality and risk of bias assessment. RESULTS: The initial search resulted in 631 records, 12 of which met the inclusion criteria and were selected for this study. Mothers experiencing food insecurity presented 3.09 more risk of having low birth weight babies when compared to those in food security situations. CONCLUSION: Evaluating and monitoring the food and nutritional situation of pregnant women is necessary, with emphasis on the importance of prenatal care, to direct public policies that ensure food security and strengthen adequate nutritional conditions for pregnant women and their babies.

Body Fat Is Superior to Body Mass Index in Predicting Cardiometabolic Risk Factors in Adolescents.

BACKGROUND: Excess adiposity is one of the main risk factors for the development of cardiovascular and metabolic diseases. The purpose of this study is to compare cardiometabolic risk factors in eutrophic adolescents with a high body fat percentage (%BF) with eutrophic adolescents with adequate %BF and those with excess weight and %BF. METHODS: Cross-sectional study with 1043 adolescents. This study presented power equal to 99.75%. Body fat and anthropometric, clinical and biochemical indicators were evaluated. Participants were grouped according to body composition classified by body mass index (BMI) and body fat percentage. Statistical analyses were performed using R software version 4.0.2, adopting a significance level of 5%. The Mann-Whitney test, principal components analysis and logistic regression were performed. RESULTS: It was observed that the SG was more similar to GC2 than to GC1 for both sexes, demonstrating that there was a greater similarity between these groups in relation to the evaluated factors. Higher values for TC, SBP and TG were associated with the SG when the CG1 was used as reference, controlled for sex and age. Likewise, higher TC values and lower levels of SBP, TG and LDL were related to SG when the CG2 was used as reference. CONCLUSION: Body fat assessment is more effective in predicting risk factors and cardiometabolic diseases than BMI alone.