Literature DB >> 25595517

Character profiles and life satisfaction.

Hwanjin Park1, Byung Seong Suh2, Won Sool Kim1, Hye-Kyung Lee3, Seon-Cheol Park4, Kounseok Lee5.   

Abstract

BACKGROUND: There is a surge of interest in subjective well-being (SWB), which concerns how individuals feel about their happiness. Life satisfaction tends to be influenced by individual psychological traits and external social factors. The aim of this study was to examine the relationship between individual character and SWB.
METHODS: Data from 3522 university students were analyzed in this study. Character profiles were evaluated using the Temperament and Character Inventory-Revised Short version (TCI-RS). Life satisfaction was assessed using the Satisfaction with Life Scale (SWLS). All statistical tests regarding the correlations between each character profile and life satisfaction were conducted using ANOVAs, t-tests, multiple linear regression models and correlation analyses.
RESULTS: The creative (SCT) profile was associated with the highest levels of life satisfaction, whereas the depressive (sct) profile was associated with the lowest levels of life satisfaction. Additionally, high self-directedness, self-transcendence and cooperation were associated with high life satisfaction. The results of gender-adjusted multiple regression analysis showed that the effects of self-directedness were the strongest in the assessment of one's quality of life, followed by self-transcendence and cooperativeness, in that order. All of the three-character profiles were significantly correlated with one's quality of life, and the character profiles of TCI-RS explained 27.6% of life satisfaction in total. Among the three-character profiles, the self-directedness profile was most associated with life satisfaction. LIMITATIONS: Our study was cross-sectional, and self-reported data from students at a single university were analyzed.
CONCLUSIONS: The results of this study showed that, among the character profiles, the effects of self-directedness were the strongest for predicting life satisfaction.
Copyright © 2014 Elsevier Inc. All rights reserved.

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Year:  2014        PMID: 25595517     DOI: 10.1016/j.comppsych.2014.12.013

Source DB:  PubMed          Journal:  Compr Psychiatry        ISSN: 0010-440X            Impact factor:   3.735


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