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The effect of Baby‐friendly status on exclusive breastfeeding in U.S. hospitals

机译:婴儿友好地位对美国医院专属母乳喂养的影响

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Abstract In 2014, a leading hospital accreditation agency, mandated hospitals publicly report their exclusive breastfeeding (EBF) rates. This new regulation provided an opportunity to explore differences in EBF outcomes using a standardized definition across a large hospital sample in the United States. The purpose of this study was to examine the relationships between population demographics and the Baby‐friendly (BF) hospital designation on EBF rates in hospitals throughout the United States. We obtained EBF rates from 121 BF hospitals and 1,608 hospitals without the BF designation. Demographic variables were computed using census tract data for the population surrounding each hospital. Relationships were explored using linear regression. We found that EBF rates were positively correlated with a bachelor's degree, log income, and those who identified as White or Asian and negatively correlated with those without college attendance, individuals living below the poverty line, and those who identified as African American or Hispanic. For all models, the BF designation of a hospital was associated with higher EBF rates ( p ??0.01; effect sizes, 0.11–0.49) with the exception of the model containing log income. Using a multiple linear regression model that was allowed to contain more than one independent variable, we were able to explain 22% of the variability in EBF rates. The BF hospital designation was associated with significantly higher EBF rates independent of demographic variables. Support for hospitals to attain the BF hospital designation is a meaningful public health goal.
机译:摘要2014年,领先的医院认证机构,授权医院公开报告他们的独家母乳喂养(EBF)率。这项新规定为在美国大型医院样本中使用标准化定义探讨了EBF结果的差异。本研究的目的是研究人口统计学和婴儿友好(BF)医院指定在整个美国医院的EBF利率之间的关系。我们从121家BF医院获得EBF利率,1,608家医院没有BF指定。使用人口普查道数据来计算每个医院的人口的人口统计变量。使用线性回归探索的关系。我们发现EBF率与学士学位,日志收入以及那些被确定为白色或亚洲的人,与没有大学出席者的人,生活在贫困线以下的个人以及那些被确定为非洲裔美国或西班牙裔人的人。对于所有模型,医院的BF指定与更高的EBF速率相关(P?&?0.01;效果大小,0.11-0.49),除了包含日志收入的模型。使用允许包含多个独立变量的多个线性回归模型,我们能够解释EBF率的22%的可变性。 BF医院指定与独立于人口变量无关的EBF率有关。支持医院获得BF医院指定是一个有意义的公共卫生目标。

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