Educational Differences in Age-Related Patterns of Disease: Reconsidering the Cumulative Disadvantage and Age-As-Leveler Hypotheses
Identifieur interne : 004C73 ( Main/Exploration ); précédent : 004C72; suivant : 004C74Educational Differences in Age-Related Patterns of Disease: Reconsidering the Cumulative Disadvantage and Age-As-Leveler Hypotheses
Auteurs : Matthew E. Dupre [États-Unis]Source :
- Journal of Health and Social Behavior [ 0022-1465 ] ; 2007.
English descriptors
- Teeft :
- Additional year, Aggregate level, American journal, Baseline, Chapel hill, Cohort, Comorbidity, Cumulative advantage, Cumulative disadvantage, Cumulative disadvantage hypothesis, Cumulative disadvantage theory, Current study, Diabetes, Disadvantage, Disease incidence, Disease onset, Disease patterns, Disease prevalence, Disparity, Educational attainment, Educational differences, Educational disparities, Educational groups, Epidemiologic study, Health decline, Health inequalities, Health risks, Health statistics, Heart attack, Hypertension, Hypertension variables, Individual level, Inequality, Life course, Logistic regression models, Middle cohort, Mortality, Mortality selection, National center, Oldest cohort, Other hand, Preston, Prevalence, Risk period, Selective mortality, Social behavior, Socioeconomic status, Survival duration, White race, Younger ages, Youngest cohort.
Abstract
Some studies suggest that the relationship between education and health strengthens with age (cumulative disadvantage hypothesis), while other studies find that it weakens (age-as-leveler hypothesis). This research addresses this inconsistency by differentiating individual-level changes in health from those occurring at the aggregate level due to selective mortality. Using retrospective and prospective data from a nationally representative sample of U.S. adults, I examine educational differences in age-specific rates of disease prevalence, incidence, and survival. At the aggregate level, I find that educational differences in disease prevalence are largest at mid-life and then decline. At the individual level, however, disease incidence and mortality increase with age at a greater rate for less-educated persons compared to the well educated. These findings suggest that the cumulative disadvantage hypothesis explains how education affects the health of individuals with increasing age, whereas the leveling hypothesis describes the aggregated by-product of these educational disparities in health decline.
Url:
DOI: 10.1177/002214650704800101
Affiliations:
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Dupre</name><affiliation></affiliation><affiliation wicri:level="2"><country xml:lang="fr">États-Unis</country><placeName><region type="state">Caroline du Nord</region></placeName><wicri:cityArea>Matthew E. Dupre, Carolina Population Center, University of North Carolina at Chapel Hill, 123 West Franklin St., CB# 8120, Chapel Hill</wicri:cityArea></affiliation><affiliation wicri:level="1"><country wicri:rule="url">États-Unis</country></affiliation></author></analytic><monogr></monogr><series><title level="j">Journal of Health and Social Behavior</title><title level="j" type="abbrev">J Health Soc Behav</title><idno type="ISSN">0022-1465</idno><idno type="eISSN">2150-6000</idno><imprint><publisher>SAGE Publications</publisher><pubPlace>Sage CA: Los Angeles, CA</pubPlace><date type="published" when="2007">2007</date><biblScope unit="volume">48</biblScope><biblScope unit="issue">1</biblScope><biblScope unit="page" from="1">1</biblScope><biblScope unit="page" to="15">15</biblScope></imprint><idno type="ISSN">0022-1465</idno></series></biblStruct></sourceDesc><seriesStmt><idno type="ISSN">0022-1465</idno></seriesStmt></fileDesc><profileDesc><textClass><keywords scheme="Teeft" xml:lang="en"><term>Additional year</term><term>Aggregate level</term><term>American journal</term><term>Baseline</term><term>Chapel hill</term><term>Cohort</term><term>Comorbidity</term><term>Cumulative advantage</term><term>Cumulative disadvantage</term><term>Cumulative disadvantage hypothesis</term><term>Cumulative disadvantage theory</term><term>Current study</term><term>Diabetes</term><term>Disadvantage</term><term>Disease incidence</term><term>Disease onset</term><term>Disease patterns</term><term>Disease prevalence</term><term>Disparity</term><term>Educational attainment</term><term>Educational differences</term><term>Educational disparities</term><term>Educational groups</term><term>Epidemiologic study</term><term>Health decline</term><term>Health inequalities</term><term>Health risks</term><term>Health statistics</term><term>Heart attack</term><term>Hypertension</term><term>Hypertension variables</term><term>Individual level</term><term>Inequality</term><term>Life course</term><term>Logistic regression models</term><term>Middle cohort</term><term>Mortality</term><term>Mortality selection</term><term>National center</term><term>Oldest cohort</term><term>Other hand</term><term>Preston</term><term>Prevalence</term><term>Risk period</term><term>Selective mortality</term><term>Social behavior</term><term>Socioeconomic status</term><term>Survival duration</term><term>White race</term><term>Younger ages</term><term>Youngest cohort</term></keywords></textClass><langUsage><language ident="en">en</language></langUsage></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Some studies suggest that the relationship between education and health strengthens with age (cumulative disadvantage hypothesis), while other studies find that it weakens (age-as-leveler hypothesis). This research addresses this inconsistency by differentiating individual-level changes in health from those occurring at the aggregate level due to selective mortality. Using retrospective and prospective data from a nationally representative sample of U.S. adults, I examine educational differences in age-specific rates of disease prevalence, incidence, and survival. At the aggregate level, I find that educational differences in disease prevalence are largest at mid-life and then decline. At the individual level, however, disease incidence and mortality increase with age at a greater rate for less-educated persons compared to the well educated. These findings suggest that the cumulative disadvantage hypothesis explains how education affects the health of individuals with increasing age, whereas the leveling hypothesis describes the aggregated by-product of these educational disparities in health decline.</div></front></TEI><affiliations><list><country><li>États-Unis</li></country><region><li>Caroline du Nord</li></region></list><tree><country name="États-Unis"><region name="Caroline du Nord"><name sortKey="Dupre, Matthew E" sort="Dupre, Matthew E" uniqKey="Dupre M" first="Matthew E." last="Dupre">Matthew E. Dupre</name></region><name sortKey="Dupre, Matthew E" sort="Dupre, Matthew E" uniqKey="Dupre M" first="Matthew E." last="Dupre">Matthew E. Dupre</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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