Cited by 127Health disparities and outcomesCognitive Abilities and TestingIntergenerational and Educational Inequality Studies

The DOI matches its Crossref record; 76 of the 79 references it cites were found in a registry or an index.

Intelligence in youth and health at age 50

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Wraw, Christina, Deary, Ian J., Gale, Catharine R., Der, Geoff·2015·Intelligence

Abstract

BACKGROUND: The link between intelligence in youth and all-cause mortality in later-life is well established. To better understand this relationship, the current study examines the links between pre-morbid intelligence and a number of specific health outcomes at age 50 using the NLSY-1979 cohort. METHODS: Participants were the 5793 participants in the NLSY-79 who responded to questions about health outcomes at age 50. Sixteen health outcomes were examined: two were summary measures (physical health and functional limitation), 9 were diagnosed illness conditions, 4 were self-reported conditions, and one was a measure of general health status. Linear and logistic regressions were used, as appropriate, to examine the relationship between intelligence in youth and the health outcomes. Age, sex and both childhood and adult SES, and its sub-components - income, education, & occupational prestige - are all adjusted for separately. RESULTS & CONCLUSION: Higher pre-morbid intelligence is linked with better physical health at age 50, and a lower risk for a number of chronic health conditions. For example, a 1 SD higher score in IQ was significantly associated with increased odds of having good, very good, or excellent health, with an odds ratio of 1.70 (C.I. 1.55-1.86). Thirteen of the illness outcomes were significantly and negatively associated with IQ in youth; the odds ratios ranged from 0.85 for diabetes/high blood sugar to 0.65 for stroke, per one standard deviation higher score in IQ. Adjustment for childhood SES led to little attenuation but adult SES partially mediated the relationship for a number of conditions. Mediation by adult SES was not consistently explained by any one of its components-income, education, and occupation status. The current findings contribute to our understanding of lower intelligence as a risk factor for poor health and how this may contribute to health inequalities.

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Metadata

Authors
Wraw, C., Deary, I. J., Gale, C. R., & Der, G.
Affiliations
  • University of Edinburgh (GB)
  • MRC/CSO Social and Public Health Sciences Unit (GB)
Corresponding author
Wraw, Christina
Venue
Intelligence
Publisher
Elsevier BV
Published
2015-11
Volume
53
Pages
23-32
ISSN
0160-2896 (ISSN-L)
OpenAlex
W1616789613
Cited by
127
References
79
Citations by year
2026: 4 · 2025: 12 · 2024: 12 · 2023: 9 · 2022: 19 · 2021: 9 · 2020: 8 · 2019: 17 · 2018: 10 · 2017: 17 · 2016: 8 · 2015: 2
FWCI
15.32
Type
journal article
Language
en
Open access
Locations
  • Intelligence (publishedVersion, cc-by-nc-nd)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by-nc-nd)
  • PubMed Central (publishedVersion, cc-by-nc-nd)
  • PubMed (publishedVersion)
  • ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam) (acceptedVersion)
  • ePrints Soton (University of Southampton) (submittedVersion)
  • Edinburgh Research Explorer (University of Edinburgh) (submittedVersion, cc-by-nc-nd)
Funders
Medical Research Council (MR/K026992/1, MC_UU_12011/2)
Topics
  • Social Sciences › Health › Health disparities and outcomes
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Cognitive Abilities and Testing
  • Social Sciences › Sociology and Political Science › Intergenerational and Educational Inequality Studies
Keywords
child intelligence, IQ, physical health, functional limitations, chronic disease, health disparities, socioeconomic status, mediation, diabetes mellitus, stroke, self-reported health

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