Dead Labor: Mortality Inequities by Class, Gender, and Race/Ethnicity in the United States, 1986–2019.
Objectives. To estimate social class inequities in US mortality using a relational measure based on power over productive property and workers' labor. Methods. We used nationally representative 1986–2018 National Health Interview Survey data with mortality follow-up through December 31, 2019 (n = 91...
| Publicado en: | American Journal of Public Health Vol. 113; no. 6; pp. 637 - 647 |
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| Autores principales: | , , |
| Formato: | Artículo |
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American Public Health Association
Jun2023
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=163761853&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 163761853 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00900036 APH jtl: American Journal of Public Health issn: 00900036 maglogo: N pubinfo: dt: Jun2023 vid: 113 iid: 6 pid: 44 pub: American Public Health Association artinfo: ui: 163761853 10.2105/ajph.2023.307227 ppf: 637 ppct: 10 formats: tig: atl: Dead Labor: Mortality Inequities by Class, Gender, and Race/Ethnicity in the United States, 1986–2019. aug: au: Eisenberg-Guyot, Jerzy Finsaas, Megan C. Prins, Seth J. su: United States Unemployment Mortality Cross-sectional method Race Sex distribution Employees Social classes Employment Business Health equity Educational attainment Mortality risk factors Confidence intervals Executives Surveys Survival rate Questionnaires Survival analysis (Biometry) Descriptive statistics sug: subj: Unemployment Mortality Cross-sectional method Race Sex distribution Employees Social classes Employment Business Health equity Educational attainment United States Mortality risk factors Confidence intervals Executives Surveys Survival rate Questionnaires Survival analysis (Biometry) Descriptive statistics ab: Objectives. To estimate social class inequities in US mortality using a relational measure based on power over productive property and workers' labor. Methods. We used nationally representative 1986–2018 National Health Interview Survey data with mortality follow-up through December 31, 2019 (n = 911 850). First, using business-ownership, occupational, and employment-status data, we classified respondents as incorporated business owners (IBOs), unincorporated business owners (UBOs), managers, workers, or not in the labor force (NLFs). Next, using inverse-probability-weighted survival curves, we estimated class mortality inequities overall, after subdividing workers by employment status and occupation, and by period, gender, race/ethnicity, and education. Results. UBOs, workers, and NLFs had, respectively, 6.3 (95% confidence interval [CI] = −8.1, −4.6), 6.6 (95% CI = −8.1, −5.0), and 19.4 (95% CI = −21.0, −17.7) per 100 lower 34-year survival rates than IBOs. Mortality risk was especially high for unemployed, blue-collar, and service workers. Inequities increased over time and were greater among male, racially minoritized, and less-educated respondents. Conclusions. We estimated considerable mortality inequities by class, gender, and race/ethnicity. We also estimated that class mortality inequities are increasing, threatening population health. Public Health Implications. Addressing class inequities likely requires structural, worker-empowering interventions. (Am J Public Health. 2023;113(6):637–646. https://doi.org/10.2105/AJPH.2023.307227) pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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