Centre for Data and Knowledge Integration for Health, Gonçalo Moniz Institute, Oswaldo Cruz Foundation, Salvador, Bahia41745-715, Brazil.
Institute of Collective Health, Federal University of Bahia, Salvador, Bahia, Brazil.
Public Health Nutr. 2023 Sep;26(9):1731-1742. doi: 10.1017/S1368980023001039. Epub 2023 May 26.
To describe the time trends and socio-economic inequalities in infant and young child feeding practices in accordance with the Brazilian deprivation index (BDI).
This time-series study analysed the prevalence of multiple breast-feeding and complementary feeding indicators based on data from the Brazilian Food and Nutrition Surveillance System, 2008-2019. Prais-Winsten regression models were used to analyse time trends. Annual percent change (APC) and 95 % CI were calculated.
Primary health care services, Brazil.
Totally, 911 735 Brazilian children under 2 years old.
Breast-feeding and complementary feeding practices differed between the extreme BDI quintiles. Overall, the results were more favourable in the municipalities with less deprivation (Q1). Improvements in some complementary feeding indicators were observed over time and evidenced such disparities: minimum dietary diversity (Q1: Δ 47·8-52·2 %, APC + 1·44, = 0·006), minimum acceptable diet (Q1: Δ 34·5-40·5 %, APC + 5·17, = 0·004) and consumption of meat and/or eggs (Q1: Δ 59·7-80·3 %, APC + 6·26, < 0·001; and Q5: Δ 65·7-70·7 %, APC + 2·20, = 0·041). Stable trends in exclusive breast-feeding and decreasing trends in the consumption of sweetened drinks and ultra-processed foods were also observed regardless the level of the deprivation.
Improvements in some complementary food indicators were observed over time. However, the improvements were not equally distributed among the BDI quintiles, with children from the municipalities with less deprivation benefiting the most.
根据巴西剥夺指数(BDI)描述婴儿和幼儿喂养实践的时间趋势和社会经济不平等。
本时间序列研究分析了基于巴西食品和营养监测系统 2008-2019 年数据的多种母乳喂养和补充喂养指标的流行率。使用普赖斯-温斯坦回归模型分析时间趋势。计算了年变化百分比(APC)和 95%置信区间。
巴西初级卫生保健服务。
总共 911 735 名 2 岁以下巴西儿童。
母乳喂养和补充喂养实践在 BDI 五分位数的极端情况之间存在差异。总体而言,在贫困程度较低的城市(Q1),结果更为有利。随着时间的推移,一些补充喂养指标有所改善,并显示出这种差异:最低饮食多样性(Q1:Δ47.8-52.2%,APC+1.44, = 0.006),最低可接受饮食(Q1:Δ34.5-40.5%,APC+5.17, = 0.004)和肉类和/或蛋类的消费(Q1:Δ59.7-80.3%,APC+6.26, < 0.001;Q5:Δ65.7-70.7%,APC+2.20, = 0.041)。无论剥夺程度如何,还观察到纯母乳喂养的稳定趋势和含糖饮料和超加工食品消费的下降趋势。
随着时间的推移,一些补充食品指标有所改善。然而,这些改进在 BDI 五分位数之间的分布并不均衡,来自贫困程度较低的城市的儿童受益最大。