Disparities in premature mortality between high- and low-income US counties
- PMID: 22440549
- PMCID: PMC3402341
Disparities in premature mortality between high- and low-income US counties
Abstract
Introduction: Several well-established determinants of health are associated with premature mortality. Using data from the 2010 County Health Rankings, we describe the association of selected determinants of health with premature mortality among counties with broadly differing levels of income.
Methods: County-level data on 3,139 US counties from the 2010 County Health Rankings were linked to county mortality data from the Centers for Disease Control and Prevention Compressed Mortality database. We divided counties into 3 groups, defined by sample median household income levels: low-income (≤25th percentile, $29,631), mid-income (25th-75th percentile, $29,631-$39,401), and high-income (≥75th percentile, ≥$39,401). We analyzed group differences in geographic, sociodemographic, racial/ethnic, health care, social, and behavioral factors. Stratified multivariable linear regression explored the associations of these health determinants with premature mortality for high- and low-income groups.
Results: The association between income and premature mortality was stronger among low-income counties than high-income counties. We found differences in the pattern of risk factors between high- and low-income groups. Significant geographic, sociodemographic, racial/ethnic, health care, social, and behavioral disparities exist among income groups.
Conclusion: Geographic location and the percentages of adult smokers and adults with a college education were associated with premature mortality rates in US counties. These relationships varied in magnitude and significance across income groups. Our findings suggest that population health policies aimed at reducing mortality disparities require an understanding of the socioeconomic context within which modifiable variables exist.
Figures
Similar articles
-
Primary care, social inequalities and all-cause, heart disease and cancer mortality in US counties: a comparison between urban and non-urban areas.Public Health. 2005 Aug;119(8):699-710. doi: 10.1016/j.puhe.2004.12.007. Public Health. 2005. PMID: 15893346
-
Identification of Factors Associated With Variation in US County-Level Obesity Prevalence Rates Using Epidemiologic vs Machine Learning Models.JAMA Netw Open. 2019 Apr 5;2(4):e192884. doi: 10.1001/jamanetworkopen.2019.2884. JAMA Netw Open. 2019. PMID: 31026030 Free PMC article.
-
Geographic Variation in Trends and Disparities in Acute Myocardial Infarction Hospitalization and Mortality by Income Levels, 1999-2013.JAMA Cardiol. 2016 Jun 1;1(3):255-65. doi: 10.1001/jamacardio.2016.0382. JAMA Cardiol. 2016. PMID: 27438103 Free PMC article.
-
Socioeconomic Inequalities in Premature Cancer Mortality Among U.S. Counties During 1999 to 2018.Cancer Epidemiol Biomarkers Prev. 2021 Jul;30(7):1375-1386. doi: 10.1158/1055-9965.EPI-20-1534. Epub 2021 May 4. Cancer Epidemiol Biomarkers Prev. 2021. PMID: 33947656
-
Evaluation of Between-County Disparities in Premature Mortality Due to Stroke in the US.JAMA Netw Open. 2021 May 3;4(5):e214488. doi: 10.1001/jamanetworkopen.2021.4488. JAMA Netw Open. 2021. PMID: 33978725 Free PMC article.
Cited by
-
Alcohol- and Drug-Related Mortality Among Adults Within and Outside the U.S.-Mexico Border Region.J Stud Alcohol Drugs. 2022 Mar;83(2):175-184. doi: 10.15288/jsad.2022.83.175. J Stud Alcohol Drugs. 2022. PMID: 35254240
-
Geographic footprints of life expectancy inequalities in the state of Geneva, Switzerland.Sci Rep. 2021 Dec 2;11(1):23326. doi: 10.1038/s41598-021-02733-x. Sci Rep. 2021. PMID: 34857856 Free PMC article.
-
Modeling Community Health with Areal Data: Bayesian Inference with Survey Standard Errors and Spatial Structure.Int J Environ Res Public Health. 2021 Jun 26;18(13):6856. doi: 10.3390/ijerph18136856. Int J Environ Res Public Health. 2021. PMID: 34206725 Free PMC article.
-
Racial and Ethnic Variations in Mortality Rates for Patients Undergoing Maintenance Dialysis Treated in US Territories Compared with the US 50 States.Clin J Am Soc Nephrol. 2020 Jan 7;15(1):101-108. doi: 10.2215/CJN.03920319. Epub 2019 Dec 19. Clin J Am Soc Nephrol. 2020. PMID: 31857376 Free PMC article.
-
Access to treatment for Hepatitis C among injection drug users: results from the cross-sectional HOPE IV study.Int J Equity Health. 2017 Jun 14;16(1):101. doi: 10.1186/s12939-017-0601-3. Int J Equity Health. 2017. PMID: 28615023 Free PMC article.
References
-
- Adler NE, Newman K. Socioeconomic disparities in health: pathways and policies. Health Aff (Millwood) 2002;21(2):60–76. - PubMed
-
- Marmot M. The influence of income on health: views of an epidemiologist. Health Aff (Millwood) 2002;21(2):31–46. - PubMed
-
- Subramanian SV, Kawachi I. Income inequality and health: what have we learned so far? Epidemiol Rev. 2004;26:78–91. - PubMed
-
- Wilkinson RG, Pickett KE. Income inequality and population health: a review and explanation of the evidence. Soc Sci Med. 2006;62(7):1768–1784. - PubMed
-
- Pickett KE, Wilkinson RG. Inequality: an underacknowledged source of mental illness and distress. Br J Psychiatry. 2010;197(6):426–428. - PubMed
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources
Medical
