Affiliations 

  • 1 1 Ameneh Yaghoobzadeh, Tehran University of Medical Sciences, Tehran, Iran
  • 2 2 Ozkan Gorgulu, PhD, Ahi Evran University, Kırşehir, Turkey
  • 3 3 Bit-Lian Yee, MSc, Open University Malaysia, Kuala Lumpur, Malaysia
  • 4 4 Ahmad Hasyim Wibisono, MNg, Brawijaya University, Malang, Indonesia
  • 5 5 Saeed Pahlevan Sharif, PhD, Taylor's University, Subang Jaya, Malaysia
  • 6 6 Hamid Sharif Nia, PhD, Mazandaran University of Medical Sciences, Sari, Iran
  • 7 7 Kelly A. Allen, PhD, University of Melbourne. Melbourne, Victoria, Australia
J Am Psychiatr Nurses Assoc, 2018 01 22;24(6):522-530.
PMID: 29357723 DOI: 10.1177/1078390317753676

Abstract

BACKGROUND: Aging perception plays a central role in the experience of healthy aging by older people. Research identified that factors such as hope, life satisfaction, and socioeconomic status influence the perception of aging in older populations.

OBJECTIVE: This study sought to test a hypothetical model to quantitatively evaluate the relationship between hope, life satisfaction, and socioeconomic status with aging perception.

DESIGN: A cross-sectional design was used with 504 older aged participants who live in Qazvin, Iran. Data were collected using the Barker's Aging Perception Questionnaire, Life Satisfaction Index-Z, and Herth Hope Index.

RESULTS: The results of path analysis showed that hope was the most important factor affecting aging perception. Results drawn from correlation analysis indicated that there was a positive significant correlation ( r = .383, p < .001) between hope and aging perception. Further analysis found that hope had the strongest impact on aging perception compared with the other variables analyzed (e.g., life satisfaction and socioeconomic status).

CONCLUSIONS: A model of aging perception in Iranian elders is presented. The findings suggested that hope had a significant and positive impact on aging perception. Implications for clinical practice and research are discussed.

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.