Derivation of Maternal Dietary Patterns Accounting for Regional Heterogeneity
提出一种灵活的有监督聚类方法，用于识别与健康结局相关的膳食模式，并发现母亲多食果蔬、少食红肉可降低后代唇腭裂风险。
Abstract Latent class models are often used to characterise dietary patterns. Yet, when subtle variations exist across different sub-populations, overall population patterns can be masked and affect statistical inference on health outcomes. We address this concern with a flexible supervised clustering approach, introduced as Supervised Robust Profile Clustering, that identifies outcome-dependent population-based patterns, while partitioning out subpopulation pattern differences. Using dietary data from the 1997–2011 National Birth Defects Prevention Study, we determine how maternal dietary profiles associate with orofacial clefts among offspring. Results indicate mothers who consume a higher proportion of fruits and vegetables compared to land meats lower the proportion of progeny with orofacial cleft defect.