Segovia Michael D, Sparks P Johnelle, Santos-Lozada Alexis R
Morbidity, Mortality and Demography Lab, Pennsylvania State University, 226 HHD, University Park, PA, USA.
Department of Sociology and Demography, University of Texas at San Antonio, One UTSA Circle, San Antonio, TX, USA.
SSM Popul Health. 2025 Apr 5;30:101798. doi: 10.1016/j.ssmph.2025.101798. eCollection 2025 Jun.
To examine whether living in nonmetropolitan areas within a state that has not expanded Medicaid is associated with poor/fair self-reported health status among working-age adults in the United States.
We analyzed data from the 2022-2024 Current Population Survey (n = 220, 601, ages 25-64). Self-reported health was dichotomized as having reported poor/fair or good/very good/excellent health status. We produced a four-level measure of the overlap between residential and policy contexts indicating whether the respondent lived in a metropolitan or nonmetropolitan area within a state that had or had not expanded Medicaid coverage by 2023. Multilevel logistic regression models were fit to examine the association between our measure of residence-policy overlaps and poor/fair self-reported health status while accounting for individual and state-level characteristics.
About 3.7 % of respondents resided in nonmetropolitan areas within non-expansion states. Approximately 11.4 % of respondents reported poor/fair self-reported health, with respondents living in nonmetropolitan areas within non-expansion states having the highest rates of poor/fair self-reported health status (18.1 %). Living in a nonmetropolitan area within non-expansion states was associated with higher odds of poor/fair self-reported health status for the overall population and by sex.
In this nationally representative and racially diverse sample, we found that individuals residing in nonmetropolitan areas in non-expansion Medicaid states were more likely to report poor/fair self-reported health status. This effect was present for the majority of the population subgroups. Our findings underscore the double vulnerability faced by populations living in these residence-policy overlaps and the need for targeted interventions.
研究在美国,居住在尚未扩大医疗补助计划覆盖范围的州的非都市地区,是否与工作年龄成年人自我报告的健康状况较差/一般有关。
我们分析了2022 - 2024年当前人口调查的数据(n = 220,601,年龄在25 - 64岁之间)。自我报告的健康状况被分为健康状况较差/一般或良好/非常好/优秀。我们制定了一个四级指标来衡量居住环境与政策背景之间的重叠情况,表明受访者是否居住在2023年已扩大或未扩大医疗补助覆盖范围的州的都市或非都市地区。我们采用多水平逻辑回归模型来研究居住政策重叠指标与自我报告的健康状况较差/一般之间的关联,同时考虑个体和州层面的特征。
约3.7%的受访者居住在未扩大医疗补助覆盖范围的州的非都市地区。约11.4%的受访者报告自我健康状况较差/一般,居住在未扩大医疗补助覆盖范围的州的非都市地区的受访者自我报告健康状况较差/一般的比例最高(18.1%)。对于总体人群以及按性别划分,居住在未扩大医疗补助覆盖范围的州的非都市地区与自我报告健康状况较差/一般的较高几率相关。
在这个具有全国代表性且种族多样的样本中,我们发现居住在未扩大医疗补助覆盖范围的州的非都市地区的个体更有可能报告自我健康状况较差/一般。这种影响在大多数人口亚组中都存在。我们的研究结果强调了生活在这些居住政策重叠地区的人群所面临的双重脆弱性以及进行有针对性干预的必要性。