Determinants of physical, psychological, and social well-being in older adults: a cross-sectional study in senior care facilities of Pakistan (2019/20)
Published research on senior care facilities in Pakistan is scarce and no large-scale study has been conducted to assess factors affecting well-being of older adults in these facilities. This study, therefore, investigated the effects of relocation autonomy, loneliness, and satisfaction with service...
Gespeichert in:
Veröffentlicht in: | BMC geriatrics 2023-06, Vol.23 (1), p.349-349, Article 349 |
---|---|
Hauptverfasser: | , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
Zusammenfassung: | Published research on senior care facilities in Pakistan is scarce and no large-scale study has been conducted to assess factors affecting well-being of older adults in these facilities. This study, therefore, investigated the effects of relocation autonomy, loneliness, and satisfaction with services along with socio-demographic characteristics on physical, psychological, and social well-being of older residents living in senior care facilities of Punjab, Pakistan.
This cross-sectional study collected data from 270 older residents living in 18 senior care facilities across 11 districts of Punjab, Pakistan from November 2019 to February 2020 using multistage random sampling. Existing reliable and valid scales were used to collect information from older adults related to relocation autonomy (Perceived Control Measure Scale), loneliness (de Jong-Gierveld Loneliness Scale), satisfaction with service quality (Service Quality Scale), physical and psychological well-being (General Well-Being Scale), and social well-being (Duke Social Support Index). A psychometric analysis of these scales was carried out followed by three separate multiple regression analyses to predict physical, psychological, and social well-being from socio-demographic variables and key independent variables (relocation autonomy, loneliness, and satisfaction with service quality).
The results of multiple regression analyses showed that the models predicting physical (R
= 0.579), psychological (R
= 0.654), and social well-being (R
= 0.615) were statistically significant (p |
---|---|
ISSN: | 1471-2318 1471-2318 |
DOI: | 10.1186/s12877-023-04014-w |