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The Twain Meet: Empirical Explanations of Sex Differences in Health and Mortality
Abstract
Health statistics routinely show higher morbidity and health services use for women, while mortality rates are higher for men. This analysis empirically identifies reasons for women's poorer health. It is based on retrospective (interview) and prospective (health diaries) data from the Health In Detroit Study. Three kinds of risk factors, which may help explain females' excess, are considered: acquired risks, psychosocial aspects, and health-reporting behavior. Men and women differ markedly in acquired risks: smoking and job hazards are higher for men, but inactivity, nonemployment, stress, and many other factors are higher for women. Psychosocial aspects predispose women to more illness and health care. Women also had keener interest in the survey. When all of the risk factors are controlled, the morbidity gap narrows considerably. In fact, indicators of general and chronic health reverse to reveal higher morbidity for men. Similarly, females' excesses for therapeutic care (short- and long-term disability, medical visits, lay consultation, drug use) diminish when risks and morbidity level are controlled. They actually reverse to a male excess for disability and medical care. Though most of the unveiled male excesses are statistically nonsignificant, their pattern allows a reasonable interpretation. Our results are closely compatible with recent analyses of sex mortality differences in several California sites, which could not eliminate men's mortality excess by controlling f…
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“The most common explanations about why this occurs have to do with differences in biological hazards, risks acquired through lifestyles, health and disease behaviors, and differences in the use of the health services (Macintyre, Ford, & Hunt, 1999; Verbrugge, 1989).”
From Health From a Gender Perspective (2017) · cites this paper as Verbrugge, 1989
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Metadata
- Authors
- Verbrugge, L. M.
- Affiliations
- University of Michigan (US)
- Corresponding author
- Verbrugge, Lois M.
- Venue
- Journal of Health and Social Behavior
- Publisher
- SAGE Publications
- Published
- 1989-09
- Volume
- 30
- Issue
- 3
- Pages
- 282
- ISSN
- 0022-1465 (ISSN-L)
- OpenAlex
- W2050091257
- Cited by
- 702
- References
- 32
- Citations by year
- 2026: 6 · 2025: 9 · 2024: 6 · 2023: 14 · 2022: 5 · 2021: 16 · 2020: 6 · 2019: 19 · 2018: 14 · 2017: 9 · 2016: 12 · 2015: 23 · 2014: 22 · 2013: 24 · 2012: 26
- FWCI
- 10.92
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Health and Social Behavior (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institutes of Health (5k04hd000441-05)
- National Institute of Mental Health (R01 MH29478)
- Eunice Kennedy Shriver National Institute of Child Health and Human Development (K04 HD00441)
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Sex and Gender in Healthcare
- Social Sciences › Sociology and Political Science › Gender, Health, and Social Inequality
- Social Sciences › Health › Health disparities and outcomes
- Keywords
- sex differences in health, sex differences in mortality, women's health, health risk factors, psychosocial stress, health care utilization, disability, smoking, occupational hazards, non-employment, social determinants of health
- MeSH terms
- Female, Health Services, Health Surveys, Humans, Male, Michigan, Morbidity, Mortality, Risk Factors, Sex Factors
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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