Can health status and self-esteem predict gratitude in adult females?

Peta Berenice Stapleton, Jamaica Isles, Hannah Chatwin, Mahima Kalla

Research output: Contribution to journalArticleResearchpeer-review

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.
Original languageEnglish
Pages (from-to)1-15
Number of pages15
JournalCurrent Research in Psychology
Volume6
Issue number3
DOIs
Publication statusPublished - 2016

Fingerprint

Self Concept
Health Status
Health
Regression Analysis
Research
Therapeutics

Cite this

Stapleton, Peta Berenice ; Isles, Jamaica ; Chatwin, Hannah ; Kalla, Mahima. / Can health status and self-esteem predict gratitude in adult females?. In: Current Research in Psychology. 2016 ; Vol. 6, No. 3. pp. 1-15.
@article{6fcc85ed0db0494da7e33c739cfd0d1e,
title = "Can health status and self-esteem predict gratitude in adult females?",
abstract = "Gratitude is often considered a sub-sector of positivepsychology. The aim of this study was to examine whether health statusand self-esteem could predict gratitude scores in a sample of women. Anon-clinical female sample (N = 200) completed self-reported measuresonline. A hierarchical multiple regression analysis was used to examinewhether health status and self-esteem could significantly predict gratitudescores. Findings revealed that health status did not significantly predictgratitude scores in the sample of women in the current study. However,self-esteem was found to statistically predict gratitude scores, suggestingthat women with low self-esteem levels were more likely to have lowergratitude scores, which is supported by previous research. The implicationsof this finding may benefit treatment programs, to increase self-esteemlevels in individuals to achieve higher gratitude levels, resulting in variousbenefits for overall health and well-being.",
author = "Stapleton, {Peta Berenice} and Jamaica Isles and Hannah Chatwin and Mahima Kalla",
year = "2016",
doi = "10.3844/crpsp.2015.31.45",
language = "English",
volume = "6",
pages = "1--15",
journal = "Current Research in Psychology",
issn = "1949-0186",
publisher = "Science Publications",
number = "3",

}

Can health status and self-esteem predict gratitude in adult females? / Stapleton, Peta Berenice; Isles, Jamaica; Chatwin, Hannah; Kalla, Mahima.

In: Current Research in Psychology, Vol. 6, No. 3, 2016, p. 1-15.

Research output: Contribution to journalArticleResearchpeer-review

TY - JOUR

T1 - Can health status and self-esteem predict gratitude in adult females?

AU - Stapleton, Peta Berenice

AU - Isles, Jamaica

AU - Chatwin, Hannah

AU - Kalla, Mahima

PY - 2016

Y1 - 2016

N2 - Gratitude is often considered a sub-sector of positivepsychology. The aim of this study was to examine whether health statusand self-esteem could predict gratitude scores in a sample of women. Anon-clinical female sample (N = 200) completed self-reported measuresonline. A hierarchical multiple regression analysis was used to examinewhether health status and self-esteem could significantly predict gratitudescores. Findings revealed that health status did not significantly predictgratitude scores in the sample of women in the current study. However,self-esteem was found to statistically predict gratitude scores, suggestingthat women with low self-esteem levels were more likely to have lowergratitude scores, which is supported by previous research. The implicationsof this finding may benefit treatment programs, to increase self-esteemlevels in individuals to achieve higher gratitude levels, resulting in variousbenefits for overall health and well-being.

AB - Gratitude is often considered a sub-sector of positivepsychology. The aim of this study was to examine whether health statusand self-esteem could predict gratitude scores in a sample of women. Anon-clinical female sample (N = 200) completed self-reported measuresonline. A hierarchical multiple regression analysis was used to examinewhether health status and self-esteem could significantly predict gratitudescores. Findings revealed that health status did not significantly predictgratitude scores in the sample of women in the current study. However,self-esteem was found to statistically predict gratitude scores, suggestingthat women with low self-esteem levels were more likely to have lowergratitude scores, which is supported by previous research. The implicationsof this finding may benefit treatment programs, to increase self-esteemlevels in individuals to achieve higher gratitude levels, resulting in variousbenefits for overall health and well-being.

U2 - 10.3844/crpsp.2015.31.45

DO - 10.3844/crpsp.2015.31.45

M3 - Article

VL - 6

SP - 1

EP - 15

JO - Current Research in Psychology

JF - Current Research in Psychology

SN - 1949-0186

IS - 3

ER -