Almeida Maiara Aparecida Mialich, Corrente José Eduardo, Vidal Edison Iglesias de Oliveira, Gomes Caroline de Barros, Rinaldi Ana Elisa Madalena, Carvalhaes Maria Antonieta de Barros Leite
Botucatu Medical School, São Paulo State University (UNESP) - UNESP, Postgraduate Program in Nursing, Avenida Professor Montenegro, Distrito de Rubião JúniorDepartamento de Enfermagem, Botucatu, 18.618-970, São Paulo, Brazil.
Postgraduate Program Public Health, Botucatu Medical School, São Paulo State University -UNESP, Avenida Professor Montenegro, Distrito de Rubião Júnior, s/n. Departamento de Saúde Pública, Botucatu, São Paulo, 18.618-970, Brazil.
BMC Pediatr. 2024 Oct 2;24(1):629. doi: 10.1186/s12887-024-05052-y.
Understanding the timing of food introduction in infants is essential for promoting optimal complementary feeding practices. However, existing studies often rely on cross-sectional data, limiting the ability to capture age-specific patterns. We aimed to describe food introduction during the first year of life by identifying patterns related to age at food introduction and associated factors in a cohort of Brazilian infants.
Data were collected through standardized questionnaires administered to mothers via face-to-face interviews during the infant's first month of life and at 3, 6, 9, and 12 months of age. Additionally, two telephone interviews were conducted at 2 and 4 months of age. Information regarding food intake was assessed using a list of 48 foods, with two key aspects recorded: whether the food was introduced (yes/no) and the age at introduction. To define food introduction patterns, we employed k-means cluster analysis. Hierarchical Poisson multiple regression was employed to examine the associations between sociodemographic, biological, and healthcare factors and patterns of food introduction.
Three distinct patterns were identified and named according to their main characteristics: Pattern 1 - "Low Infant Formula and Timely CF Introduction"; Pattern 2 - "High Infant Formula and Early CF Introduction"; and Pattern 3 - "High Infant Formula and Later Ultra-processed Food Introduction". Breastfeeding at six months showed a positive association with Pattern 1 (PR = 1.40; 95% CI = 1.10-1.80), while bottle use at four months was negatively associated with Pattern 1 (PR = 0.68; 95% CI = 0.53-0.87). No variables studied exhibited an association with Pattern 2. For Pattern 3, higher prevalences were observed among children whose mothers were aged < 20 years (PR = 1.54; 95% CI = 1.13-2.01) or > 34 years (PR = 1.42; 95% CI = 1.04-1.93). Not receiving guidance on the recommended duration of breastfeeding and complementary feeding during prenatal care was associated with a higher prevalence of children in this pattern (PR = 1.35; 95% CI = 1.01-1.80).
We identified three distinct patterns of age at food introduction in the study population, although none perfectly aligned with Brazilian or WHO dietary recommendations. These findings underscore the need for targeted interventions to promote timely and healthy complementary feeding practices in Brazilian infants.
了解婴儿辅食添加时间对于促进最佳辅食喂养实践至关重要。然而,现有研究通常依赖横断面数据,限制了捕捉特定年龄模式的能力。我们旨在通过识别巴西婴儿队列中与辅食添加年龄相关的模式及相关因素,来描述生命第一年的辅食添加情况。
通过在婴儿出生第一个月以及3、6、9和12个月时对母亲进行面对面访谈,使用标准化问卷收集数据。此外,在2个月和4个月时进行了两次电话访谈。使用包含48种食物的清单评估食物摄入信息,记录两个关键方面:食物是否被引入(是/否)以及引入年龄。为定义辅食添加模式,我们采用了k均值聚类分析。采用分层泊松多元回归分析社会人口学、生物学和医疗保健因素与辅食添加模式之间的关联。
根据主要特征确定并命名了三种不同模式:模式1 - “低婴儿配方奶粉和及时引入辅食”;模式2 - “高婴儿配方奶粉和早期引入辅食”;模式3 - “高婴儿配方奶粉和后期引入超加工食品”。六个月时进行母乳喂养与模式1呈正相关(PR = 1.40;95% CI = 1.10 - 1.80),而四个月时使用奶瓶与模式1呈负相关(PR = 0.68;95% CI = 0.53 - 0.87)。所研究的变量均未显示与模式2有关联。对于模式3,在母亲年龄小于20岁(PR = 1.54;95% CI = 1.13 - 2.01)或大于34岁(PR = 1.42;95% CI = 1.04 - 1.93)的儿童中观察到较高的患病率。产前护理期间未接受关于推荐母乳喂养和辅食喂养持续时间的指导与该模式下儿童的较高患病率相关(PR = 1.35;95% CI = 1.01 - 1.80)。
我们在研究人群中确定了三种不同的辅食添加年龄模式,尽管没有一种与巴西或世界卫生组织的饮食建议完全一致。这些发现强调了需要有针对性的干预措施,以促进巴西婴儿及时和健康的辅食喂养实践。