87
Views
1
CrossRef citations to date
0
Altmetric
Research Article

Predictive power of retirement resources in retirement adjustment and quality of life among male retirees: a cross-sectional study in central Iran

ORCID Icon, ORCID Icon, ORCID Icon, ORCID Icon & ORCID Icon
Pages 447-459 | Published online: 22 Sep 2022
 

ABSTRACT

Achieving the optimal Quality of Life (QoL) has been the expected outcome of all evolutionary periods in human life, including retirement. The present study aimed to determine the relationship between QoL, retirement resources, and retirement adjustment among retirees. This analytical cross-sectional study was conducted on 220 Iranian retirees who had been retired for 1–10 years. The study data were collected using a self-administered questionnaire, which was completed in person by 112 retirees and online using a WhatsApp or Telegram link by the rest. Pearson’s correlation coefficient was utilized to determine the bivariate correlation between the study constructs. Additionally, multiple linear regression was used to assess the retirement resources predicting QoL and retirement adjustment. The study results revealed that the mean scores for retirement adjustment were not the same at different levels of education. Moreover, there was a significant positive relationship between retirement adjustment and retirement resources. A significant positive relationship was also observed between retirement resources, retirement adjustment, and QoL. In addition, mental and financial resources were assumed as better predictors of retirement adjustment, while physical resources could better forecast the QoL. The results indicated that having access to various resources during retirement could lead to a higher QoL and retirement adjustment among retirees. Therefore, paying much more attention to these results can help design interventions to gain access to different resources and improve retirement adjustment and QoL in these individuals.

Acknowledgments

The authors would like to thank all the study participants as well as the Isfahan Steel Industry.

Author’s contributions

Concept – MH.K., E.SH., M.N.; Design - MH.K., E.SH., M.K.; Supervision - MH.K., L.GH.; Resources - MH.K., E.SH.; Materials - E.SH.; Data Collection and/or Processing - E.SH.; Analysis and/or Interpretation - MH.K., E.SH., M.K., M.N.; Literature Search - E.SH.; Writing Manuscript - MH.K., E.SH.; Critical Review – MH.K., E.SH., L.GH.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Data availability statement

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

Additional information

Funding

This study was supported by the Shiraz University of Medical Sciences, but there is no granted number for it.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 172.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.