Personality and Physical Functioning Among Older Adults: The Moderating Role of Education
Open accessAbstract
OBJECTIVES: Drawing upon a vulnerability model, this study tested whether low educational level would amplify the negative contribution of risky personality traits, such as high neuroticism and low conscientiousness, on older adults physical functioning. METHOD: Five hundred and thirteen French-speaking community-dwelling older adults aged 60-91 years (mean age = 66.37, SD = 5.32) completed measures of physical functioning, education, personality traits, chronic conditions, and demographic variables. RESULTS: Results revealed that extraversion and conscientiousness were positively associated with physical functioning, whereas neuroticism was a negative predictor, beyond demographics, chronic conditions, and education. The negative relationship between neuroticism and physical functioning was stronger among individuals with low educational level and was nonsignificant among older people with higher level of education. DISCUSSION: This study is the first to support a vulnerability model, which entails an amplification of neuroticism risk at low education, but a diminishment of neuroticism risk for activity limitations at high education. As a whole, it appears that a focus on either personality or education without taking into account each other provides only a partial account of the predictors of basic daily physical activities in old age.
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.
Integrity signals
Registry
Cites
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.
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?
Studies have reported stronger associations of presumably adaptive and maladaptive dispositions with physical functioning and mortality at lower levels of SES, thereby contributing to smaller or larger socioeconomic gradients.
“Consistent with the vulnerability model, studies have reported stronger associations of presumably adaptive (e.g., perceived control) and maladaptive (e.g., neuroticism and negative affectivity) dispositions with physical functioning and mortality at lower levels of SES, thereby contributing to smaller or larger socioeconomic gradients (33-36).”
From Socioeconomic Status Interacts with Conscientiousness and Neuroticism to Predict Circulating Concentrations of Inflammatory Markers (2017) · cites this paper as [33]
Other studies have reported smaller socioeconomic gradients in IL-6 and mortality at higher levels of psychological resources including perceived control.
“Other studies have reported smaller socioeconomic gradients in IL-6 and mortality at higher levels of psychological resources including perceived control (33,37).”
From Socioeconomic Status Interacts with Conscientiousness and Neuroticism to Predict Circulating Concentrations of Inflammatory Markers (2017) · cites this paper as [33]
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
Multiple regression: testing and interpreting interactions
(1992) · Choice Reviews Online · doi:10.5860/choice.29-3352 · Cited by 36,644 · see citing works
(1992) · PubMed · Cited by 33,716 · see citing works
The MOS 36-ltem Short-Form Health Survey (SF-36): I. Conceptual Framework and Item Selection
Ware, J. E., & Sherbourne, C. D. (1992) · Medical Care · doi:10.1097/00005650-199206000-00002 · Cited by 30,033 · see citing works
PERSONALITY STRUCTURE: EMERGENCE OF THE FIVE-FACTOR MODEL
Digman, J. M. (1990) · Annual Review of Psychology · doi:10.1146/annurev.ps.41.020190.002221 · Cited by 6,960 · see citing works
Personality correlates of physical activity: a review and meta-analysis: Table 1
Rhodes, R. E., & Smith, N. E. I. (2006) · British Journal of Sports Medicine · doi:10.1136/bjsm.2006.028860 · Cited by 581 · see citing works
Plaisant, O., Courtois, R., Réveillère, C., Mendelsohn, G. A., & John, O. P. (2009) · Annales Médico-psychologiques revue psychiatrique · doi:10.1016/j.amp.2009.09.003 · Cited by 326 · see citing works
Chapman, B. P., Roberts, B., & Duberstein, P. (2011) · Journal of Aging Research · doi:10.4061/2011/759170 · Cited by 283 · see citing works
Self-citationPersonality Predictors of Longevity: Activity, Emotional Stability, and Conscientiousness
Terracciano, A., Löckenhoff, C. E., Zonderman, A. B., Ferrucci, L., & Costa, P. T. (2008) · Psychosomatic Medicine · doi:10.1097/psy.0b013e31817b9371 · Cited by 242 · see citing works
The SF-36: A simple, effective measure of mobility-disability for epidemiological studies
Syddall, H. E., Martin, H., Harwood, R., Cooper, C. C., & Sayer, A. A. (2009) · The journal of nutrition health & aging · doi:10.1007/s12603-009-0010-4 · Cited by 193 · see citing works
Chapman, B., Duberstein, P., & Lyness, J. M. (2007) · The Journals of Gerontology Series B: Psychological Sciences and Social Sciences · doi:10.1093/geronb/62.6.p343 · Cited by 132 · see citing works
Self-citationDuberstein, P. R., Sörensen, S., Lyness, J. M., King, D. A., Conwell, Y., Seidlitz, L., & Caine, E. D. (2003) · Psychology and Aging · doi:10.1037/0882-7974.18.1.25 · Cited by 118 · see citing works
Jagger, C., Matthews, R. J., Melzer, D. R., Matthews, F. E., Brayne, C., & CFAS, M. (2007) · International Journal of Epidemiology · doi:10.1093/ije/dyl307 · Cited by 95 · see citing works
Sex-Specific Correlates of Walking Speed in a Wide Age-Ranged Population
Tolea, M. I., Costa, P. T., Terracciano, A., Griswold, M. E., Simonsick, E. M., Najjar, S. S., Scuteri, A., Deiana, B., Orrù, M., Masala, M., et al. (2010) · The Journals of Gerontology Series B · doi:10.1093/geronb/gbp130 · Cited by 89 · see citing works
Trends and educational disparities in functional capacity among people aged 65–84 years
Sulander, T. T., Martelin, T. P., Sainio, P., et al. (2006) · International Journal of Epidemiology · doi:10.1093/ije/dyl183 · Cited by 77 · see citing works
Suchy, Y., Williams, P. G., Kraybill, M., Franchow, E. I., & Butner, J. (2010) · The Journals of Gerontology Series B · doi:10.1093/geronb/gbq037 · Cited by 47 · see citing works
Hostility, unemployment and health status: testing three theoretical models
Kivimäki, M., Elovainio, M., Kokko, K., Pulkkinen, L., Kortteinen, M., & Tuomikoski, H. (2003) · Social Science & Medicine · doi:10.1016/s0277-9536(02)00219-8 · Cited by 37 · see citing works
Education and Smoking: Confounding or Effect Modification by Phenotypic Personality Traits?
Chapman, B., Fiscella, K., Duberstein, P., & Kawachi, I. (2009) · Annals of Behavioral Medicine · doi:10.1007/s12160-009-9142-3 · Cited by 33 · see citing works
Self-citationLiver X Receptor Alpha Associates With Human Life Span
Mooijaart, S. P., Kuningas, M., Westendorp, R. G. J., Houwing‐Duistermaat, J. J., Slagboom, P. E., Rensen, P. C. N., & van Heemst, D. (2007) · The Journals of Gerontology Series A · doi:10.1093/gerona/62.4.343 · Cited by 28 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Personality and cognitive decline in older adults: data from a longitudinal sample and meta-analysis
Luchetti, M., Terracciano, A., Stephan, Y., & Sutin, A. R. (2016) · The Journals of Gerontology Series B: Psychological Sciences and Social Sciences · doi:10.1093/geronb/gbu184 · Cited by 242 · see citing works
Self-citationElliot, A. J., Turiano, N. A., & Chapman, B. P. (2017) · Annals of Behavioral Medicine · doi:10.1007/s12160-016-9847-z · Cited by 37 · see citing works
Self-citation
- Authors
- Jaconelli, A., Stephan, Y., Canada, B., & Chapman, B. P.
- Affiliations
- Université Grenoble Alpes (FR)
- University of Rochester Medicine (US)
- Venue
- The Journals of Gerontology Series B: Psychological Sciences and Social Sciences
- Publisher
- Oxford University Press (OUP)
- Published
- 2012-10-15
- Volume
- 68
- Issue
- 4
- Pages
- 553-557
- ISSN
- 1079-5014 (ISSN-L)
- 1758-5368
- PMC
- PMC3859357
- OpenAlex
- W2106889565
- Cited by
- 38
- References
- 18
- Citations by year
- 2024: 1 · 2023: 3 · 2022: 5 · 2021: 3 · 2020: 4 · 2019: 2 · 2018: 4 · 2017: 5 · 2016: 2 · 2015: 3 · 2014: 4 · 2013: 2
- FWCI
- 3.27
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- The Journals of Gerontology Series B (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- HAL (submittedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- HighWire Press Open Archive (submittedVersion)
- Funders
- National Institute on Aging (K08AG031328)
- Topics
- Social Sciences › Psychology › Clinical Psychology › Personality Traits and Psychology
- Social Sciences › Psychology › Neuropsychology and Physiological Psychology › Aging and Gerontology Research
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Aging, Health, and Disability
- Keywords
- personality traits, physical function, older adults, education, neuroticism, conscientiousness, extraversion, vulnerability model, moderation, activity limitation, daily physical activity, chronic disease
- MeSH terms
- Aged, Aged, 80 and over, Aging, Educational Status, Female, Health Status, Humans, Male, Middle Aged, Personality, Personality Inventory, Surveys and Questionnaires, Risk, Effect Modifier, Epidemiologic
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