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Predictors of retirement satisfaction in the older adults of Urmia: a cross-sectional study

BACKGROUND: Retirement is a challenge that, as a process, influences the individual’s role, status, life patterns, expectations, and available resources. Therefore, the present study aims at determining the predictors of retirement satisfaction among men in the city of Urmia. METHODS: In this descri...

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Autores principales: Honarvar, Mojtaba, Rasouli, Javad, Amirzadeh-Iranagh, Jamileh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9254522/
https://www.ncbi.nlm.nih.gov/pubmed/35790899
http://dx.doi.org/10.1186/s12877-022-03259-1
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author Honarvar, Mojtaba
Rasouli, Javad
Amirzadeh-Iranagh, Jamileh
author_facet Honarvar, Mojtaba
Rasouli, Javad
Amirzadeh-Iranagh, Jamileh
author_sort Honarvar, Mojtaba
collection PubMed
description BACKGROUND: Retirement is a challenge that, as a process, influences the individual’s role, status, life patterns, expectations, and available resources. Therefore, the present study aims at determining the predictors of retirement satisfaction among men in the city of Urmia. METHODS: In this descriptive-analytical study, 140 retired men living in Urmia were selected by multi-stage sampling method. The instruments used are the Retirement Satisfaction Scale, life satisfaction, and quality of life questionnaires. Data were analyzed in SPSS v.21 using descriptive statistics, one-way ANOVA, and regression at a significance level of p ≤ 0.05. RESULTS: Based on the results of this study, the mean score of retirement satisfaction was 115.37 + 10.13 and there was no significant difference (p = .068) in retirement satisfaction of the retired men based on level of education. Also, the retrospective multiple linear regression model indicated that 44.4% of the variance of retirement satisfaction score is predicted by two subscales of life satisfaction and quality of life. CONCLUSION: According to the results, it seems that life satisfaction and quality of life are inseparable, effective factors in retirement satisfaction, so, to promote retirement satisfaction in all of its scales and subscales, it is recommended to improve these two factors.
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spelling pubmed-92545222022-07-06 Predictors of retirement satisfaction in the older adults of Urmia: a cross-sectional study Honarvar, Mojtaba Rasouli, Javad Amirzadeh-Iranagh, Jamileh BMC Geriatr Research BACKGROUND: Retirement is a challenge that, as a process, influences the individual’s role, status, life patterns, expectations, and available resources. Therefore, the present study aims at determining the predictors of retirement satisfaction among men in the city of Urmia. METHODS: In this descriptive-analytical study, 140 retired men living in Urmia were selected by multi-stage sampling method. The instruments used are the Retirement Satisfaction Scale, life satisfaction, and quality of life questionnaires. Data were analyzed in SPSS v.21 using descriptive statistics, one-way ANOVA, and regression at a significance level of p ≤ 0.05. RESULTS: Based on the results of this study, the mean score of retirement satisfaction was 115.37 + 10.13 and there was no significant difference (p = .068) in retirement satisfaction of the retired men based on level of education. Also, the retrospective multiple linear regression model indicated that 44.4% of the variance of retirement satisfaction score is predicted by two subscales of life satisfaction and quality of life. CONCLUSION: According to the results, it seems that life satisfaction and quality of life are inseparable, effective factors in retirement satisfaction, so, to promote retirement satisfaction in all of its scales and subscales, it is recommended to improve these two factors. BioMed Central 2022-07-05 /pmc/articles/PMC9254522/ /pubmed/35790899 http://dx.doi.org/10.1186/s12877-022-03259-1 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Honarvar, Mojtaba
Rasouli, Javad
Amirzadeh-Iranagh, Jamileh
Predictors of retirement satisfaction in the older adults of Urmia: a cross-sectional study
title Predictors of retirement satisfaction in the older adults of Urmia: a cross-sectional study
title_full Predictors of retirement satisfaction in the older adults of Urmia: a cross-sectional study
title_fullStr Predictors of retirement satisfaction in the older adults of Urmia: a cross-sectional study
title_full_unstemmed Predictors of retirement satisfaction in the older adults of Urmia: a cross-sectional study
title_short Predictors of retirement satisfaction in the older adults of Urmia: a cross-sectional study
title_sort predictors of retirement satisfaction in the older adults of urmia: a cross-sectional study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9254522/
https://www.ncbi.nlm.nih.gov/pubmed/35790899
http://dx.doi.org/10.1186/s12877-022-03259-1
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