Universidade Federal do Maranhão. Endereço e CEP São Luís MA Brasil.
Universidade Federal de Alagoas. Maceió AL Brasil.
Cien Saude Colet. 2024 Oct;29(10):e04692023. doi: 10.1590/1413-812320242910.04692023. Epub 2023 Sep 28.
This article aims to evaluate the effect of the COVID-19 pandemic on malnutrition among children under two years of age enrolled in the Bolsa Família Program (BFP). Ecological study of interrupted time series (ITS), with low weight for age, stunting, and overweight as time-dependent variables of malnutrition, extracted monthly (Jan/2008 to June/2021) from the Food and Nutrition Surveillance System. The COVID-19 pandemic was the exposure, dichotomized into pre-pandemic and pandemic. In RStudio, the trend was obtained by Prais-Winsten regression, and the effect of the pandemic on the time-dependent variables was determined by SARIMA modeling, estimating the regression coefficients (RC) adjusted for trend and seasonality (α = 5%). The pandemic was associated with an increase in: i) low weight for age in the South (RC = 0.94; p < 0.001) and Southeast (RC = 1.97; p < 0.001); ii) height deficit in the Midwest (RC = 2.4; p = 0.01), South (RC = 2.15; p < 0.001) and Southeast (RC = 2.96; p < 0.001); and iii) and overweight in the North (RC = 1.51; p = 0.04), Midwest (RC = 2.29; p = 0.01), South (RC = 2.83; p < 0.001), and Southeast (RC = 0.72; p = 0.04). The pandemic increased underweight in the South and Southeast, and the double burden of malnutrition in the Midwest, South, and Southeast. In the Northeast and North, higher rates of malnutrition still persist.
本文旨在评估 COVID-19 大流行对参加“家庭强化方案”(Bolsa Família Program,BFP)的 2 岁以下儿童营养不良的影响。这是一项生态性的时间序列中断研究(ITS),将低体重、发育迟缓、超重等作为营养不良的时间依赖性变量,这些数据每月(2008 年 1 月至 2021 年 6 月)从食品和营养监测系统中提取。COVID-19 大流行是暴露因素,分为大流行前和大流行期。在 RStudio 中,采用 Prais-Winsten 回归法获取趋势,采用 SARIMA 模型确定大流行对时间依赖性变量的影响,估计调整趋势和季节性(α = 5%)的回归系数(RC)。大流行与以下情况相关:i)南部和东南部低体重的增加(RC = 0.94;p < 0.001);ii)中西部、南部和东南部身高不足的增加(RC = 2.4;p = 0.01);iii)北部、中西部、南部和东南部超重的增加(RC = 1.51;p = 0.04)。大流行增加了南部和东南部的低体重,中西部、南部和东南部的营养不良双重负担。在东北部和北部,营养不良的比率仍然较高。