Domain and Facet Personality Predictors of All-Cause Mortality Among Medicare Patients Aged 65 to 100

Weiss, Alexander; Costa, Paul T.

doi:10.1097/01.psy.0000181272.58103.18

Cited by 296 publications

(283 citation statements)

References 26 publications

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“…This is consistent with findings that higher Neuroticism is a mortality risk (44–46), although findings to the contrary also exist (47). Roughly 6% of this risk was explained by depressive symptoms, consistent with reports that Neuroticism is a risk for depression in older persons (48, 49).…”

Section: Resultssupporting

confidence: 92%

Personality and Physician-Assessed Illness Burden in Older Primary Care Patients Over 4 Years

Chapman

Roberts

Lyness

et al. 2013

The American Journal of Geriatric Psychiatry

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Background Personality traits have been associated with physician-rated illness burden cross-sectionally, but longitudinal associations between personality and objective medical morbidity remain unclear. Purpose To examine associations between personality and physician-rated illness burden 4 years prospectively in older primary care patients. Method At baseline, patients (average age = 75, SD = 6.6, 62% female) completed the NEO-Five Factor Inventory. At baseline and 4 yearly follow-ups, a physician completed the Cumulative Illness Rating Scale based on medical records. Results Linear mixed effects models revealed that higher neuroticism and lower conscientiousness predicted worse average illness burden longitudinally. Relatively disagreeable persons (25th percentile) accumulated morbidity at a 33% faster rate than agreeable (75th percentile) peers. At the final follow-up, a person at the 75th percentile of neuroticism and the 25th percentile of conscientiousness and agreeableness showed morbidity comparable to a peer of average personality but 10 years older. An individual at the 25th percentile of neuroticism and 75th percentile of conscientiousness and agreeableness showed end-point illness burden comparable to a peer of average personality but 10 years younger. 21% of the morbidity associated with neuroticism was explained by total cholesterol. History of hypertension, smoking, alcohol/drug abuse, and affective symptoms of depression each explained 10% or less of the other observed personality effects. Conclusion Personality plays a non-trivial role in healthy aging among older persons. Brief personality assessment may identify at-risk older persons for closer monitoring, enhance the accuracy of medical prognosis, and provide clues for clinical interventions to promote better health.

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Section: Resultssupporting

confidence: 92%

Personality and Physician-Assessed Illness Burden in Older Primary Care Patients Over 4 Years

Chapman

Roberts

Lyness

et al. 2013

The American Journal of Geriatric Psychiatry

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“…Consistent with previous investigations (Weiss & Costa, 2005;Wilson, de Leon, Bienias, Evans, & Bennett, 2004;Christensen et al, 2002), this study showed that Conscientiousness did not significantly correlate with RL. However, further investigation revealed that its facet (Thorough) has a significant correlation with RL (.114).…”

Section: Discussionsupporting

confidence: 82%

Conscientiousness as a Predictor of Relative Longevity

Udoh

Anyichie²

2015

IJPS

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This study examined the Conscientiousness domain (of the Big-Five Inventory [B5]) and its facets as predictors of Relative Longevity (RL). Its methods of investigation involved the administration of the B5 to a sample of 350 people from Anambra State (of Nigeria, West Africa) who had RL. These participants were drawn from the representative towns of the three senatorial zones in the State. Stratified sampling technique was employed in the selection of the respondents. Pearson Product-Moment Correlation analysis and Multiple Regression analysis were used in data analyses. The results of the research indicated that there was no significant correlation between Conscientiousness domain and RL. However, its (Conscientiousness) facet (of Thorough) correlated significantly with RL. Besides, Conscientiousness did not predict RL, but its facets (Thorough, Reliable, Organized, and Goal-directed) were found to be significant predictors of RL. The study's conclusion is that although Conscientiousness was neither a correlate nor a predictor of RL among the people of Anambra State, some of its Facets were (correlate and/or predictor/s).

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“…These characteristic adaptations may influence the duration and/or intensity of physiological stress responses (coping), thereby impacting the onset and/or exacerbation of the disease (cancer) [2]. Previous studies have identified the FFM of personality and affect as independent predictors of physical and mental health functioning among cancer patient populations [10][11][12][13]. Yet, despite this growing literature, there is the lack of (race) diversity among study samples, particularly the inclusion of older minorities.…”

Section: Personality Affect and Healthmentioning

confidence: 90%

Race Differences in Personality and Affect Between Older White and Black Patients: an Exploratory Study

Krok‐Schoen

Baker

2014

J. Racial and Ethnic Health Disparities

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Objective There is limited research focusing on the five-factor model (FFM) of personality among diverse older adults, particularly cancer patient populations. This study aimed to examine the association of personality traits, positive and negative affect, and health in White and Black older adults receiving outpatient treatment for various cancer types. Design Data were collected from 150 patients (123 White and 27 Black patients), with a mean age of 65.38 years (SD=7.72). Participants were surveyed on personality traits, affect, physical and mental functioning, and demographic characteristics. Results Analyses showed no significant race differences in the FFM of personality. However, Black patients reported significantly higher positive affect than White patients. Results further indicated that higher positive affect and lower negative affect were significant predictors of higher mental functioning for White patients. Neuroticism predicted worse mental functioning (lower vitality, social functioning, emotions, and mental health) in Black patients but not for the White patients. Conclusion These findings suggest associations among identified sociocultural factors, personality, affect, and health. These characteristics may ultimately influence health outcomes and symptom management across various patient populations.

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Domain and Facet Personality Predictors of All-Cause Mortality Among Medicare Patients Aged 65 to 100

Cited by 296 publications

References 26 publications

Personality and Physician-Assessed Illness Burden in Older Primary Care Patients Over 4 Years

Personality and Physician-Assessed Illness Burden in Older Primary Care Patients Over 4 Years

Conscientiousness as a Predictor of Relative Longevity

Race Differences in Personality and Affect Between Older White and Black Patients: an Exploratory Study

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