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Horizons of Psychology :: Psihološka obzorja

Scientific and Professional Psychological Journal of the Slovenian Psychologists' Association

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Personality traits predicting different aspects of subjective well-being in elderly adults

Mojca Petrič & Maja Zupančič

pdf Full text (pdf)  |  Views: 373  |  flagWritten in English.  |  Published: April 2, 2021

pdf https://doi.org/10.20419/2021.30.528  |  Cited By: CrossRef (1)

Abstract: The study examined unique predictive relations of personality traits with three components of subjective well-being (WB) in a normative sample (N = 272; 70% females) of Slovene elderly (M = 71.82 years, SD = 6.03). Investigating the concurrent relationships, we relied on the Big Five personality model and the Keyes’s model of WB, which entails emotional well-being (EWB), psychological well-being (PWB), and social well-being (SoWB). We also considered the participants’ background characteristics (age, gender, marital status and educational level), and their subjective health status in predicting the components of WB. The respondents filled-in a scale of subjective health, constructed for the purpose of the study, the Big Five Inventory and the Mental Health Continuum – Short Form. The demographic characteristics did not significantly contribute to any aspect of WB, whereas self-reported health significantly improved the prediction of EWB and PWB. The Big Five uniquely predicted all of the components of WB, over and above demographics and subjective health. Agreeableness was a significant single predictor across the components of WB. Higher levels of conscientiousness and lower levels of neuroticism contributed to EWB. Conscientiousness, extraversion, and openness predicted PWB, and openness predicted SoWB.

Keywords: elderly, personality, Big Five, subjective well-being, Keyes's model


Cite:
Petrič, M., & Zupančič, M. (2021). Personality traits predicting different aspects of subjective well-being in elderly adults. Psihološka obzorja, 30, 15–25. https://doi.org/10.20419/2021.30.528


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Cited By via CrossRef (1)

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