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Epidemiology of breastfeeding: advances and multidisciplinary applications.

机译:母乳喂养的流行病学:研究进展和多学科应用。

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Advancing understanding of the importance of breastfeeding (BF) has required advances in application of epidemiologic methods to BF research. This chapter considers, in the context of BF epidemiology, how different research designs complement each other to establish firmer causal inferences, the need for multidisciplinary collaborations, and the application of powerful analytical methods to strengthen epidemiologic studies. A recent global meta-analysis of 47 studies documenting the inverse association between lifetime BF duration and breast cancer risk illustrates the value of longitudinal (cohort) studies to establish the temporal sequence of events and to rule out differential recall biases that can threaten the internal validity of case-control studies. The discovery of the transmission of human immunodeficiency virus (HIV) via human milk has led epidemiologists to provide important hypotheses to be tested at the molecular and cellular level and in turn test hypotheses generated in laboratory studies. Application of powerful statistical methods to BF epidemiology has helped strengthen causal inferences. A retrospective analysis of the 1976--1977 Malaysian Family Life Survey found interactive multivariate statistical models to better understand how different socioeconomic and cultural contexts modify the influence of BF on child health. Further, a study conducted in Cebu City, Philippines, demonstrated how structural equation models can be used to test the pathways through which proximate (e.g., BF) and distal (e.g., socioeconomic status) determinants affect child health after adjusting for reverse causality (i.e., child health influencing maternal BF choice). For ethical reasons, BF randomized controlled trials (RCTs) have seldom been conducted. Recent RCTs examining the link between BF peer counseling and BF outcomes in diverse settings provides a unique opportunity to firmly establish the causal inferences regarding BF and the prevention of diarrheal diseases. The value of rapid assessment anthropologic methods to guide development of peer counseling interventions subsequently tested through RCTs is presented. This chapter also illustrates how Cox regression and logistic regression can be applied to BF research.
机译:对母乳喂养(BF)重要性的进一步了解要求在流行病学方法应用于BF研究中取得进展。本章考虑在BF流行病学的背景下,不同的研究设计如何相互补充以建立更牢固的因果推论,需要进行多学科合作,以及应用强大的分析方法来加强流行病学研究。最近对47项研究进行了全球荟萃分析,这些研究记录了终身BF持续时间与乳腺癌风险之间的负相关关系,这说明了纵向(队列)研究对确定事件的时间顺序并排除可能威胁内部有效性的差异性回忆偏见的价值。病例对照研究。人类免疫缺陷病毒(HIV)通过人乳传播的发现使流行病学家提供了重要的假设,需要在分子和细胞水平上进行检验,进而检验在实验室研究中产生的假设。将强大的统计方法应用于高炉流行病学,有助于加强因果关系的推断。对1976--1977年马来西亚家庭生活调查的回顾性分析发现,交互式多元统计模型可以更好地了解不同的社会经济和文化背景如何改变BF对儿童健康的影响。此外,在菲律宾宿雾市进行的一项研究表明,结构方程模型可用于测试因反向因果关系调整后(例如,BF)和远端(例如,社会经济状况)决定因素影响儿童健康的途径。 ,儿童健康会影响孕妇的BF选择)。出于伦理原因,很少进行BF随机对照试验(RCT)。最近的RCT考察了BF同伴咨询与BF在不同情况下的结局之间的联系,这为牢固确立有关BF与预防腹泻疾病的因果关系提供了独特的机会。提出了快速评估人类学方法对指导随后通过RCT测试的同伴咨询干预措施的开发的价值。本章还说明了Cox回归和Logistic回归如何应用于高炉研究。

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