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. 2020 Oct 16;75(9):1905-1910.
doi: 10.1093/geronb/gbz040.

Personality and Falls Among Older Adults: Evidence From a Longitudinal Cohort

Brice Canada  1 , Yannick Stephan  2 , Angelina R Sutin  3 , Antonio Terracciano  4
Affiliations

Personality and Falls Among Older Adults: Evidence From a Longitudinal Cohort

Brice Canada et al. J Gerontol B Psychol Sci Soc Sci. .

Abstract

Objectives: Falls can have catastrophic consequences, especially for older adults. This study examined whether personality traits predict the incidence of falls in older age.

Method: Participants were older adults aged from 65 to 99 years (N = 4,759) drawn from the Health and Retirement Study. Personality traits and demographic factors were assessed at baseline. Falls were tracked for up to 11 years.

Results: Over the follow-up period, 2,811 individuals reported falls. Cox regression analyses that included demographic covariates indicated that lower conscientiousness and higher neuroticism increased the risk of falling. Disease burden, depressive symptoms, and physical inactivity mediated the associations between both traits and falls incidence, whereas smoking status and handgrip strength mediated the neuroticism-falls incidence association.

Discussion: This study provides new prospective evidence that personality predicts the incidence of falls in older adults and suggest that personality assessment may help identifying individuals at higher risk of falling.

Keywords: Conscientiousness; Functional limitation; Neuroticism.

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References

    1. Bergen, G., Stevens, M. R., & Burns, E. R. (2016). Falls and fall injuries among adults aged ≥65 years—United States, 2014. MMWR. Morbidity and Mortality Weekly Report, 65, 993–998. doi:10.15585/mmwr.mm6537a2 - PubMed
    1. Buchner, D. M., Rillamas-Sun, E., Di, C., LaMonte, M. J., Marshall, S. W., Hunt, J., & Herring, A. H. (2017). Accelerometer-measured moderate to vigorous physical activity and incidence rates of falls in older women. Journal of the American Geriatrics Society, 65, 2480–2487. doi:10.1111/jgs.14960 - PMC - PubMed
    1. Cawthon, P. M., Orwoll, E. S., Peters, K. E., Ensrud, K. E., Cauley, J. A., Kado, D. M., . . . Evans, W. J.; Osteoporotic Fractures in Men (MrOS) Study Research Group . (in press). Strong relation between muscle mass determined by D3-creatine dilution, physical performance and incidence of falls and mobility limitations in a prospective cohort of older men. The Journals of Gerontology, Series A: Biological Sciences and Medical Sciences. doi:10.1093/gerona/gly129 - PMC - PubMed
    1. Crimmins, E. M., Kim, J. K., Langa, K. M., & Weir, D. R. (2011). Assessment of cognition using surveys and neuropsychological assessment: The health and retirement study and the aging, demographics, and memory study. The Journals of Gerontology, Series B: Psychological Sciences and Social Sciences, 66(Suppl. 1), i162–i171. doi:10.1093/geronb/gbr048 - PMC - PubMed
    1. Digman, J. M. (1990). Personality structure: Emergence of the five-factor model. Annual Review of Psychology, 41, 417–440. doi:10.1146/annurev.ps.41.020190.002221

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