The public health exposome and pregnancy-related mortality in the United States: a high-dimensional computational analysis.
The public health exposome and pregnancy-related mortality in the United States: a high-dimensional computational analysis.
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DOI：
10.1186/s12889-022-14397-x
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发表时间：
2022-11-17
影响因子：
4.5
通讯作者：
Wallace, M. E.
中科院分区：
文献类型：
--
作者：
Harville, E. W.;Grady, S. K.;Langston, M. A.;Juarez, P. J.;Vilda, D.;Wallace, M. E.
美国孕产妇死亡率的种族不平等仍然很明显。 2015-2018年4年总人口、县级妊娠相关死亡率（PRM；每10万活产死亡人数；国家卫生统计中心（NCHS），限制使用死亡率文件）与公共卫生暴露组（PHE）相关联。使用数据缩减技术，从 62,000 多个变量中提取了 1591 个变量用于此分析，提供有关 PRM 与社会、健康和医疗保健、自然和建筑环境之间关系的信息。图论算法和贝叶斯分析应用于 PHE/PRM 关联数据以识别潜在网络。与总人口 PRM 相关性最强的 PHE 变量是潜在寿命损失年数和总体预期寿命。 PRM 的人口层面指标包括总体贫困、吸烟、缺乏锻炼、炎热和缺乏足够的食物。在这项高维分析中，发现总体预期寿命、贫困指标和健康行为是妊娠相关死亡率的最强预测因素。这提供了强有力的证据，表明孕产妇死亡是更广泛的一系列类似和独特的健康行为、社会决定因素和环境暴露与其他死因的一部分。在线版本包含可在 10.1186/s12889-022-14397-x 获取的补充材料。
Racial inequities in maternal mortality in the U.S. continue to be stark. The 2015–2018, 4-year total population, county-level, pregnancy-related mortality ratio (PRM; deaths per 100,000 live births; National Center for Health Statistics (NCHS), restricted use mortality file) was linked with the Public Health Exposome (PHE). Using data reduction techniques, 1591 variables were extracted from over 62,000 variables for use in this analysis, providing information on the relationships between PRM and the social, health and health care, natural, and built environments. Graph theoretical algorithms and Bayesian analysis were applied to PHE/PRM linked data to identify latent networks. PHE variables most strongly correlated with total population PRM were years of potential life lost and overall life expectancy. Population-level indicators of PRM were overall poverty, smoking, lack of exercise, heat, and lack of adequate access to food. In this high-dimensional analysis, overall life expectancy, poverty indicators, and health behaviors were found to be the strongest predictors of pregnancy-related mortality. This provides strong evidence that maternal death is part of a broader constellation of both similar and unique health behaviors, social determinants and environmental exposures as other causes of death. The online version contains supplementary material available at 10.1186/s12889-022-14397-x.
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DOI：
10.3390/ijerph111212866
发表时间：
2014-12
影响因子：
--
作者：
Juarez PD;Matthews-Juarez P;Hood DB;Im W;Levine RS;Kilbourne BJ;Langston MA;Al-Hamdan MZ;Crosson WL;Estes MG;Estes SM;Agboto VK;Robinson P;Wilson S;Lichtveld MY
通讯作者：
Lichtveld MY
影响因子：
7.2
作者：
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通讯作者：
Goodman, David A.
影响因子：
7.7
作者：
Greenland, S
通讯作者：
Greenland, S
DOI：
10.1016/j.dam.2015.11.010
发表时间：
2016-05-11
期刊：
Discrete applied mathematics (Amsterdam, Netherlands : 1988)
影响因子：
--
作者：
Hagan RD;Langston MA;Wang K
通讯作者：
Wang K
DOI：
10.1111/j.2517-6161.1995.tb02031.x
发表时间：
1995-01-01
影响因子：
5.8
作者：
BENJAMINI, Y;HOCHBERG, Y
通讯作者：
HOCHBERG, Y