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Demography
Article . 2005 . Peer-reviewed
Data sources: Crossref
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Demography
Article
Data sources: UnpayWall
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Demography
Article . 2005
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Sex differences in morbidity and mortality

Authors: Anne C. Case; Christina Paxson;

Sex differences in morbidity and mortality

Abstract

Abstract Women have worse self-rated health and more hospitalization episodes than men from early adolescence to late middle age, but are less likely to die at each age. We use 14 years ofdata from the u.s. National Health Interview Survey to examine this paradox. Our results indicate that the difference in self-assessed health between women and men can be entirely explained by differences in the distribution ofthe chronic conditions they face. This is not true, however, for hospital episodes and mortality. Men with several smoking-related conditions-including cardiovascular disease and certain lung disorders-are more likely to experience hospital episodes and to die than women who suffer from the same chronic conditions, implying that men may experience more-severe forms of these conditions. While some of the difference in mortality can be explained by differences in the distribution of chronic conditions, an equally large share can be attributed to the larger adverse effects of these conditions on male mortality. The greater effects ofsmoking-related conditions on men’s health may be due to their higher rates ofsmoking throughout their lives.

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Keywords

Male, Health Status, Severity of Illness Index, Life Expectancy, Sex Factors, Bias, Cause of Death, Prevalence, Humans, Mortality, Life Style, Sex Characteristics, Men, Health Surveys, Hospitalization, Chronic Disease, Linear Models, Female, Morbidity, Attitude to Health, jel: jel:I0, jel: jel:J1

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    487
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 0.1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 1%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
487
Top 0.1%
Top 1%
Top 10%
Published in a Diamond OA journal