Health Care Organization and Policy, University of Alabama at Birmingham, Birmingham, USA.
Women Health. 2021 Apr;61(4):337-344. doi: 10.1080/03630242.2021.1889737. Epub 2021 Mar 15.
Despite mounting evidence that social factors and public policies affect state infant mortality rates (IMRs), few researchers have examined variation in IMRs associated with those factors and policies. We quantified disparities in infant mortality by state social factors and public policy characteristics. We hypothesized that some social factors and public policies would be more strongly associated with infant mortality than others, and that states with similar factors and policies would form clusters with varying levels of infant mortality. We examined associations of women's economic empowerment, health and well-being, political participation, reproductive rights, and work and family-related policies with state IMRs in 2012 and 2015, using indicators created by the Institute for Women's Policy Research. Methods included generalized linear models, principal component analysis, and cluster analysis. Health and well-being predicted IMRs (2012, 2015, both < .05), as did poverty and opportunity, and reproductive rights (2012, < .10). Consistent with our hypothesis, states formed clusters, with the states in each cluster having similar social factors and public policies, and similar IMRs. Women's health status and insurance coverage were more predictive of state IMRs than other social factors. Improving health and insurance coverage may be an effective way to reduce state IMRs.
尽管越来越多的证据表明社会因素和公共政策会影响各州的婴儿死亡率(IMR),但很少有研究人员研究过与这些因素和政策相关的 IMR 差异。我们量化了各州社会因素和公共政策特征与婴儿死亡率相关的差异。我们假设,一些社会因素和公共政策与婴儿死亡率的关联度会比其他因素更强,并且具有相似因素和政策的州会形成具有不同婴儿死亡率水平的聚类。我们使用妇女政策研究所创建的指标,研究了 2012 年和 2015 年妇女经济赋权、健康和福祉、政治参与、生殖权利以及工作和家庭相关政策与各州 IMR 的关联。方法包括广义线性模型、主成分分析和聚类分析。健康和福祉(2012 年和 2015 年,均 <.05)、贫困和机会以及生殖权利(2012 年,<.10)都可以预测 IMR。与我们的假设一致,各州形成了聚类,每个聚类中的州都具有相似的社会因素和公共政策,以及相似的 IMR。妇女的健康状况和保险覆盖率比其他社会因素更能预测州 IMR。改善健康和保险覆盖率可能是降低州 IMR 的有效途径。