Division of Infection, Immunity and Respiratory Medicine, The University of Manchester, Manchester M13 9PL, UK.
Allergy Department, 2nd Paediatric Clinic, National and Kapodistrian University of Athens, 11527 Athens, Greece.
Nutrients. 2022 May 24;14(11):2190. doi: 10.3390/nu14112190.
'Mixed Milk Feeding' (MMF), whereby infants are fed with both breastmilk and infant formula during the same period, is a common feeding practice. Despite its high prevalence, knowledge regarding MMF practices and their association with (health) outcomes is limited, potentially because MMF behaviours are highly variable and difficult to standardise longitudinally. In this paper, we applied a statistical clustering algorithm on individual infant feeding data collected over the first year of life from two clinical trials: 'TEMPO' ( = 855) and 'Venus' ( = 539); these studies were conducted in different years and world regions. In TEMPO, more than half of infants were MMF. Four distinct MMF clusters were identified: early exclusive formula feeding (32%), later exclusive formula feeding (25%), long-term MMF (21%), and mostly breastfeeding (22%). The same method applied to 'Venus' resulted in comparable clusters, building trust in the robustness of the cluster approach. These results demonstrate that distinct MMF patterns can be identified, which may be applicable to diverse populations. These insights could support the design of future research studying the impact of infant feeding patterns on health outcomes. To standardise this in future research, it is important to establish a unified definition of MMF.
混合喂养(MMF)是指在同一时期内同时喂养母乳和婴儿配方奶粉,这是一种常见的喂养方式。尽管混合喂养非常普遍,但是对于其喂养方式及其与(健康)结果的关系的了解却很有限,这可能是因为 MMF 行为具有高度的可变性,并且难以进行纵向标准化。在本文中,我们应用一种统计聚类算法对两项临床试验(TEMPO[=855]和 Venus[=539])在生命第一年中收集的个体喂养数据进行了分析;这两项研究是在不同的年份和世界区域进行的。在 TEMPO 中,超过一半的婴儿采用 MMF。确定了四个不同的 MMF 聚类:早期纯配方奶粉喂养(32%)、后期纯配方奶粉喂养(25%)、长期 MMF(21%)和主要母乳喂养(22%)。同样的方法应用于“Venus”也产生了类似的聚类,这增强了聚类方法的稳健性。这些结果表明,可以识别出不同的 MMF 模式,这些模式可能适用于不同的人群。这些发现可以为未来研究婴儿喂养模式对健康结果的影响提供参考。为了在未来的研究中实现标准化,建立 MMF 的统一定义非常重要。