OBJECTIVE: The goal of our study was to examine how Big Five personality factors predict variability in self-rated health in a sample of older African Americans from the Baltimore Study of Black Aging. METHODS: Personality was measured by the NEO Personality Inventory-Revised, and self-rated health was assessed by the Health Problems Checklist. PARTICIPANTS: The study sample had 202 women and 87 men. Ages ranged from 49 to 90 years (M = 67.2 years, SD = 8.55), and average years of formal education was 10.8 (SD = 3.3). RESULTS: Multiple linear regressions showed that neuroticism and extraversion were significant regression predictors of self-rated health, after controlling for demographic factors. CONCLUSIONS: These findings suggest individual personality traits may influence health ratings, behaviors, and decision-making among older African Americans.
OBJECTIVE: The goal of our study was to examine how Big Five personality factors predict variability in self-rated health in a sample of older African Americans from the Baltimore Study of Black Aging. METHODS: Personality was measured by the NEO Personality Inventory-Revised, and self-rated health was assessed by the Health Problems Checklist. PARTICIPANTS: The study sample had 202 women and 87 men. Ages ranged from 49 to 90 years (M = 67.2 years, SD = 8.55), and average years of formal education was 10.8 (SD = 3.3). RESULTS: Multiple linear regressions showed that neuroticism and extraversion were significant regression predictors of self-rated health, after controlling for demographic factors. CONCLUSIONS: These findings suggest individual personality traits may influence health ratings, behaviors, and decision-making among older African Americans.
Authors: Stefana Morgan; Bruce Cooper; Steven Paul; Marilyn J Hammer; Yvette P Conley; Jon D Levine; Christine Miaskowski; Laura B Dunn Journal: Pers Individ Dif Date: 2017-06-04
Authors: C J Hoogendoorn; J S Gonzalez; C B Schechter; A Flattau; N D Reeves; A J M Boulton; L Vileikyte Journal: Diabet Med Date: 2020-11-02 Impact factor: 4.359