Abstract
Gratitude is often considered a sub-sector of positive
psychology. The aim of this study was to examine whether health status
and self-esteem could predict gratitude scores in a sample of women. A
non-clinical female sample (N = 200) completed self-reported measures
online. A hierarchical multiple regression analysis was used to examine
whether health status and self-esteem could significantly predict gratitude
scores. Findings revealed that health status did not significantly predict
gratitude scores in the sample of women in the current study. However,
self-esteem was found to statistically predict gratitude scores, suggesting
that women with low self-esteem levels were more likely to have lower
gratitude scores, which is supported by previous research. The implications
of this finding may benefit treatment programs, to increase self-esteem
levels in individuals to achieve higher gratitude levels, resulting in various
benefits for overall health and well-being.
psychology. The aim of this study was to examine whether health status
and self-esteem could predict gratitude scores in a sample of women. A
non-clinical female sample (N = 200) completed self-reported measures
online. A hierarchical multiple regression analysis was used to examine
whether health status and self-esteem could significantly predict gratitude
scores. Findings revealed that health status did not significantly predict
gratitude scores in the sample of women in the current study. However,
self-esteem was found to statistically predict gratitude scores, suggesting
that women with low self-esteem levels were more likely to have lower
gratitude scores, which is supported by previous research. The implications
of this finding may benefit treatment programs, to increase self-esteem
levels in individuals to achieve higher gratitude levels, resulting in various
benefits for overall health and well-being.
Original language | English |
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Pages (from-to) | 1-15 |
Number of pages | 15 |
Journal | Current Research in Psychology |
Volume | 6 |
Issue number | 3 |
DOIs | |
Publication status | Published - 2016 |