CoChat
Sign Up
Cited by 242Aging, Health, and DisabilityFrailty in Older AdultsHealth disparities and outcomes

Health, cognitive, and psychosocial factors as predictors of mortality in an elderly community sample.

Open access
Korten, A E, Jorm, A F, Jiao, Z, Letenneur, L, Jacomb, P A, Henderson, A S, Christensen, H, Rodgers, B·1999·Journal of Epidemiology and Community Health
DOI 10.1136/jech.53.2.83PMC PMC1756829
Open this paper in CoChat — free accountOpen PDF

Abstract

STUDY OBJECTIVE: To examine whether cognitive and psychosocial factors predict mortality once physical health is controlled. DESIGN: A prospective study of community dwelling elderly. Mortality was assessed over a period of 3-4 years after the baseline assessment of predictors. The data were analysed using the Cox proportional hazards model. SETTING: Canberra and Queanbeyan, Australia. PARTICIPANTS: A sample of 897 people aged 70 or over and living in the community, drawn from the compulsory electoral roll. RESULTS: For the sample as a whole, the significant predictors of mortality were male sex, poor physical health, poor cognitive functioning, and low neuroticism. Men had an adjusted relative risk of mortality of 2.5 compared with women. For the male sub-sample, poor self rated health and a poor performance on a speeded cognitive task were significant predictors, while for women, greater disability, low systolic blood pressure, and a low score on a dementia screening test were the strongest predictors. CONCLUSIONS: Mortality was predicted by physical ill health and poor cognitive functioning. Psychosocial factors such as socioeconomic status, psychiatric symptoms, and social support did not add to the prediction of mortality, once sex, physical health, and cognitive functioning were controlled. Mortality among men was more than twice that of women, even when adjusted for other predictors.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1136/jech.53.2.83

Cites

53 of 53 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Two studies have found that higher Neuroticism was associated with reduced all-cause mortality risk in mixed-gender older community samples in the US and Australia.

    “To complicate the picture further, two studies have found that higher Neuroticism was associated with reduced all-cause mortality risk in mixed-gender older community samples in the US [63] and Australia [120].”

    From Personality and Longevity: Knowns, Unknowns, and Implications for Public Health and Personalized Medicine (2011) · cites this paper as [120]

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 4

  1. Blazer DG. Social support and mortality in an elderly com- munity population. Am J Epidemiol 1982;115:684-94.
  2. Murphy JM, Monson RR, Olivier DC, et al. AVective disor- ders and mortality. Arch Gen Psychiatry 1987;44:473-80.
  3. Friedman HS, Tucker JS, Schwartz JE, et al. Psychosocial and behavioral predictors of longevity. Am Psychol 1995;50: 69-78.
  4. Christensen H, Jorm AF, Henderson AS, et al. The relation- ship between health and cognitive functioning in an elderly community sample. Age Ageing 1994;23:204-12.

Cited by

Sorted by citations

Related

Authors
Korten, A. E., Jorm, A. F., Jiao, Z., Letenneur, L., Jacomb, P. A., Henderson, A. S., Christensen, H., & Rodgers, B.
Affiliations
Australian National University (AU)
ORCID
Venue
Journal of Epidemiology and Community Health
Publisher
BMJ
Published
1999-02
Volume
53
Issue
2
Pages
83-88
ISSN
  • 0141-7681 (ISSN-L)
  • 0143-005X
  • 1470-2738
DOI
10.1136/jech.53.2.83
PMC
PMC1756829
OpenAlex
W2146115396
Cited by
240
References
52
Citations by year
2026: 1 · 2025: 1 · 2024: 2 · 2023: 5 · 2022: 4 · 2021: 1 · 2020: 45 · 2019: 8 · 2018: 6 · 2017: 12 · 2016: 7 · 2015: 3 · 2014: 8 · 2013: 8 · 2012: 14
FWCI
9.10
Type
journal article
Language
en
Open access
Locations
  • Journal of Epidemiology & Community Health (publishedVersion)
  • Europe PMC (PubMed Central) (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
Funders
Australian Rotary Health
Topics
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Aging, Health, and Disability
  • Health Sciences › Medicine › Geriatrics and Gerontology › Frailty in Older Adults
  • Social Sciences › Health › Health disparities and outcomes
Keywords
mortality prediction, older adults, cognitive function, psychosocial factors, sex differences in mortality, physical health, self-rated health, neuroticism, dementia screening, systolic blood pressure, disability, socioeconomic status, social support, psychiatric symptoms
MeSH terms
Aged, Aged, 80 and over, Australia, Chronic Disease, Cognition Disorders, Female, Health Status, Humans, Male, Prospective Studies, Sex Factors, Social Class, Social Support, Health Behavior, Proportional Hazards Models, Physical Therapy Modalities

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review