Neuroticism, cognitive ability, and the metabolic syndrome: The Vietnam Experience Study
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Objectives The purpose of this study is to explore the association of neuroticism with the metabolic syndrome, separate components of the metabolic syndrome, and the number of components of metabolic syndrome an individual possesses. The purpose of this study is to examine also the extent to which any associations are accounted for by sociodemographic factors, health behaviors, and cognitive ability.Method Participants were 4208 men drawn from the Vietnam Experience Study. From military archives, and a later telephone interview and psychological and medical examination, sociodemographic, health behavior, cognitive ability, neuroticism, and health data were collected. Neuroticism and cognitive ability were assessed with standardized tests during the medical examination. Presence of the metabolic syndrome was based on body mass index, fasting blood glucose or a diagnosis of diabetes, high blood pressure or taking antihypertensive medication, high-density lipoprotein cholesterol, and triglyceride levels.Results Neuroticism was positively associated with the occurrence of the metabolic syndrome and several of its components in both age-, and sociodemographic- and health behavior-adjusted analyses. Many associations were accounted for by individual difference in cognitive ability. Neuroticism was robustly associated with the number of components of the metabolic syndrome after adjustment.Conclusions Individuals with higher neuroticism scores had a higher prevalence of the metabolic syndrome and a larger number of its components. On the whole, differences in cognitive ability appeared to partially mediate the relationship between neuroticism and the metabolic syndrome.
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“Examples of this approach include a scale reflecting lack of self-discipline from items off the impulsiveness, excitement seeking, and low deliberation scales of the NEO-PI R [110], creating a Neuroticism scale from items measuring negative affect on the MMPI [193, 194], and examining discrete emotions using items on…”
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Self-citationDo personality traits moderate the manifestation of type 2 diabetes genetic risk?
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- Authors
- Phillips, A. C., Batty, G. D., Weiss, A., Deary, I., Gale, C. R., Thomas, G. N., & Carroll, D.
- Affiliations
- University of Birmingham (GB)
- The University of Sydney (AU)
- University of Edinburgh (GB)
- Corresponding author
- Phillips, Anna C.
- Venue
- Journal of Psychosomatic Research
- Publisher
- Elsevier BV
- Published
- 2010-08
- Volume
- 69
- Issue
- 2
- Pages
- 193-201
- ISSN
- 0022-3999 (ISSN-L)
- OpenAlex
- W2128538534
- Cited by
- 45
- References
- 101
- Citations by year
- 2025: 2 · 2023: 2 · 2022: 2 · 2021: 3 · 2020: 4 · 2019: 3 · 2018: 5 · 2017: 1 · 2016: 6 · 2015: 5 · 2014: 2 · 2013: 1 · 2012: 6
- FWCI
- 2.41
- Type
- journal article
- Language
- en
- Open access
- Licence
- Locations
- Journal of Psychosomatic Research (publishedVersion)
- PubMed (publishedVersion)
- University of Birmingham Institutional Research Archive (University of Birmingham) (acceptedVersion)
- Stirling Online Research Repository (University of Stirling) (submittedVersion, public-domain)
- ePrints Soton (University of Southampton) (submittedVersion)
- UCL Discovery (University College London) (submittedVersion)
- University of Birmingham Research Portal (University of Birmingham) (submittedVersion, other-oa)
- Funders
- Biotechnology and Biological Sciences Research Council
- Topics
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Social Sciences › Psychology › Clinical Psychology › Personality Traits and Psychology
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiac Health and Mental Health
- Keywords
- neuroticism, metabolic syndrome, cognitive ability, personality traits, number of metabolic syndrome components, mediation, sociodemographic factors, health behavior, men, diabetes mellitus, hypertension, dyslipidemia
- MeSH terms
- Adult, Age Factors, Blood Glucose, Blood Pressure, Health Status, Health Surveys, Humans, Intelligence, Cholesterol, HDL, Male, Middle Aged, Neurotic Disorders, Risk Factors, Socioeconomic Factors, Statistics as Topic, Triglycerides, Veterans, Health Behavior, Comorbidity, Body Mass Index, Metabolic Syndrome, Vietnam Conflict
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