Hierarchical regression of wellbeing and self-rated health among older adults in abu dhabi

Masood A. Badri, Guang Yang, Mugheer Al Khaili, Muna Al Bahar, Asma Al Rashdi, Layla Al Hyas

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

This study investigates the wellbeing factors related to self-rated health for older adults in Abu Dhabi (≥55 years). The purpose is to provide a comprehensive analysis of the determinants of self-rated health, considering various wellbeing factors, controlling for factors such as gender, nationality and long-standing illness if present. This research drew from a sample of 2375 older adults who participated in the Abu Dhabi Quality-of-Life Survey (QoL) conducted in 2018. Hierarchical multiple regression analysis was employed where the first two models corresponded to gender, nationality and having a long-standing illness or not. The third model focused on the wellbeing factors of Abu Dhabi citizens (i.e., social networks and connection, income and housing, sports and activities, mental feelings). The analysis revealed the insignificance of gender and nationality as controlled variables while having a long-standing illness showed significant adverse effects. The most significant variables were social support networks, family and social arrangements and connec-tions. Other variables of significance included housing satisfaction, household income satisfaction, frequency of practicing sports, current mental status and life satisfaction. Policymakers could use the outcomes as insider intelligence for policymakers and social work professionals to create policies, programs and services to enhance the lives of older people in Abu Dhabi.

Original languageEnglish
Article number8006
JournalInternational Journal of Environmental Research and Public Health
Volume18
Issue number15
DOIs
Publication statusPublished - Aug 1 2021

Keywords

  • Abu dhabi
  • Hierarchical regression
  • Older adults
  • Self-rated health
  • Wellbeing

ASJC Scopus subject areas

  • Pollution
  • Public Health, Environmental and Occupational Health
  • Health, Toxicology and Mutagenesis

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