Early Life Exposure to the 1918 Influenza Pandemic and Old-Age Mortality by Cause of Death
Identifieur interne : 001654 ( Ncbi/Merge ); précédent : 001653; suivant : 001655Early Life Exposure to the 1918 Influenza Pandemic and Old-Age Mortality by Cause of Death
Auteurs : Mikko Myrskyl ; Neil K. Mehta ; Virginia W. ChangSource :
- American Journal of Public Health [ 0090-0036 ] ; 2013.
Descripteurs français
- KwdFr :
- Adulte d'âge moyen, Cause de décès, Enquêtes de santé, Exposition environnementale (effets indésirables), Femelle, Grippe humaine (), Grippe humaine (épidémiologie), Humains, Maladies cardiovasculaires (mortalité), Maladies cardiovasculaires (étiologie), Maladies de l'appareil respiratoire (mortalité), Maladies de l'appareil respiratoire (étiologie), Maladies transmissibles (épidémiologie), Modèles de hasards proportionnels, Mortalité (tendances), Mâle, Pandémies, Période de péripartum, Sujet âgé, Sujet âgé de 80 ans ou plus, Tumeurs (mortalité), Tumeurs (étiologie), États-Unis d'Amérique (épidémiologie), Études de cohortes, Études de suivi, Études transversales.
- MESH :
- effets indésirables : Exposition environnementale.
- mortalité : Maladies cardiovasculaires, Maladies de l'appareil respiratoire, Tumeurs.
- tendances : Mortalité.
- épidémiologie : Grippe humaine, Maladies transmissibles, États-Unis d'Amérique.
- étiologie : Maladies cardiovasculaires, Maladies de l'appareil respiratoire, Tumeurs.
- Adulte d'âge moyen, Cause de décès, Enquêtes de santé, Femelle, Grippe humaine, Humains, Modèles de hasards proportionnels, Mâle, Pandémies, Période de péripartum, Sujet âgé, Sujet âgé de 80 ans ou plus, Études de cohortes, Études de suivi, Études transversales.
- Wicri :
- geographic : États-Unis.
English descriptors
- KwdEn :
- Aged, Aged, 80 and over, Cardiovascular Diseases (etiology), Cardiovascular Diseases (mortality), Cause of Death, Cohort Studies, Communicable Diseases (epidemiology), Cross-Sectional Studies, Environmental Exposure (adverse effects), Female, Follow-Up Studies, Health Surveys, Humans, Influenza, Human (complications), Influenza, Human (epidemiology), Male, Middle Aged, Mortality (trends), Neoplasms (etiology), Neoplasms (mortality), Pandemics, Peripartum Period, Proportional Hazards Models, Respiratory Tract Diseases (etiology), Respiratory Tract Diseases (mortality), United States (epidemiology).
- MESH :
- geographic , epidemiology : United States.
- adverse effects : Environmental Exposure.
- complications : Influenza, Human.
- epidemiology : Communicable Diseases, Influenza, Human.
- etiology : Cardiovascular Diseases, Neoplasms, Respiratory Tract Diseases.
- mortality : Cardiovascular Diseases, Neoplasms, Respiratory Tract Diseases.
- trends : Mortality.
- Aged, Aged, 80 and over, Cause of Death, Cohort Studies, Cross-Sectional Studies, Female, Follow-Up Studies, Health Surveys, Humans, Male, Middle Aged, Pandemics, Peripartum Period, Proportional Hazards Models.
Abstract
Url:
DOI: 10.2105/AJPH.2012.301060
PubMed: 23678911
PubMed Central: 3682600
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PMC:3682600Le document en format XML
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<term>Respiratory Tract Diseases (mortality)</term>
<term>United States (epidemiology)</term>
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<keywords scheme="KwdFr" xml:lang="fr"><term>Adulte d'âge moyen</term>
<term>Cause de décès</term>
<term>Enquêtes de santé</term>
<term>Exposition environnementale (effets indésirables)</term>
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<term>Grippe humaine (épidémiologie)</term>
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<term>Respiratory Tract Diseases</term>
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<term>Cause of Death</term>
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<front><div type="abstract" xml:lang="en"><p><italic>Objectives.</italic>
We sought to analyze how early exposure to the 1918 influenza pandemic is associated with old-age mortality by cause of death.</p>
<p><italic>Methods.</italic>
We analyzed the National Health Interview Survey (n = 81 571; follow-up 1989–2006; 43 808 deaths) and used year and quarter of birth to assess timing of pandemic exposure. We used Cox proportional and Fine-Gray competing hazard models for all-cause and cause-specific mortality, respectively.</p>
<p><italic>Results.</italic>
Cohorts born during pandemic peaks had excess all-cause mortality attributed to increased noncancer mortality. We found evidence for a trade-off between noncancer and cancer causes: cohorts with high noncancer mortality had low cancer mortality, and vice versa.</p>
<p><italic>Conclusions.</italic>
Early disease exposure increases old-age mortality through noncancer causes, which include respiratory and cardiovascular diseases, and may trigger a trade-off in the risk of cancer and noncancer causes. Potential mechanisms include inflammation or apoptosis. The findings contribute to our understanding of the causes of death behind the early disease exposure–later mortality association. The cancer–noncancer trade-off is potentially important for understanding the mechanisms behind these associations.</p>
</div>
</front>
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<front><div type="abstract" xml:lang="en"><p><italic>Objectives.</italic>
We sought to analyze how early exposure to the 1918 influenza pandemic is associated with old-age mortality by cause of death.</p>
<p><italic>Methods.</italic>
We analyzed the National Health Interview Survey (n = 81 571; follow-up 1989–2006; 43 808 deaths) and used year and quarter of birth to assess timing of pandemic exposure. We used Cox proportional and Fine-Gray competing hazard models for all-cause and cause-specific mortality, respectively.</p>
<p><italic>Results.</italic>
Cohorts born during pandemic peaks had excess all-cause mortality attributed to increased noncancer mortality. We found evidence for a trade-off between noncancer and cancer causes: cohorts with high noncancer mortality had low cancer mortality, and vice versa.</p>
<p><italic>Conclusions.</italic>
Early disease exposure increases old-age mortality through noncancer causes, which include respiratory and cardiovascular diseases, and may trigger a trade-off in the risk of cancer and noncancer causes. Potential mechanisms include inflammation or apoptosis. The findings contribute to our understanding of the causes of death behind the early disease exposure–later mortality association. The cancer–noncancer trade-off is potentially important for understanding the mechanisms behind these associations.</p>
</div>
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<keywords scheme="MESH" qualifier="trends" xml:lang="en"><term>Mortality</term>
</keywords>
<keywords scheme="MESH" qualifier="épidémiologie" xml:lang="fr"><term>Grippe humaine</term>
<term>Maladies transmissibles</term>
<term>États-Unis d'Amérique</term>
</keywords>
<keywords scheme="MESH" qualifier="étiologie" xml:lang="fr"><term>Maladies cardiovasculaires</term>
<term>Maladies de l'appareil respiratoire</term>
<term>Tumeurs</term>
</keywords>
<keywords scheme="MESH" xml:lang="en"><term>Aged</term>
<term>Aged, 80 and over</term>
<term>Cause of Death</term>
<term>Cohort Studies</term>
<term>Cross-Sectional Studies</term>
<term>Female</term>
<term>Follow-Up Studies</term>
<term>Health Surveys</term>
<term>Humans</term>
<term>Male</term>
<term>Middle Aged</term>
<term>Pandemics</term>
<term>Peripartum Period</term>
<term>Proportional Hazards Models</term>
</keywords>
<keywords scheme="MESH" xml:lang="fr"><term>Adulte d'âge moyen</term>
<term>Cause de décès</term>
<term>Enquêtes de santé</term>
<term>Femelle</term>
<term>Grippe humaine</term>
<term>Humains</term>
<term>Modèles de hasards proportionnels</term>
<term>Mâle</term>
<term>Pandémies</term>
<term>Période de péripartum</term>
<term>Sujet âgé</term>
<term>Sujet âgé de 80 ans ou plus</term>
<term>Études de cohortes</term>
<term>Études de suivi</term>
<term>Études transversales</term>
</keywords>
<keywords scheme="Wicri" type="geographic" xml:lang="fr"><term>États-Unis</term>
</keywords>
</textClass>
</profileDesc>
</teiHeader>
<front><div type="abstract" xml:lang="en">We sought to analyze how early exposure to the 1918 influenza pandemic is associated with old-age mortality by cause of death.</div>
</front>
</TEI>
</pubmed>
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