Subjective well-being feelings and related factors in people aged 50 years or older in Shanghai: Based on Day Reconstruction Method / 中华流行病学杂志
Chinese Journal of Epidemiology
; (12): 1193-1199, 2018.
Article
in Zh
| WPRIM
| ID: wpr-738122
Responsible library:
WPRO
ABSTRACT
Objective: To evaluate the subjective well-being feelings of people aged ≥50 years in Shanghai by using the Day Reconstruction Method (DRM) and explore the related factors. Methods: A cross-sectional survey was conducted from October 2009 to June 2010 among people aged ≥50 years selected through multistage random cluster sampling in Shanghai. DRM was used to assess participants' subjective well-being by net effect and U-index. Univariate and multivariate linear regression models were used to explore the related factors. Results: A total of 8 075 participants were included, with average age of 63.1 years. The mean net effect value was 1.24 (95%CI:1.15-1.33), and the mean U-index was 1.55% (95%CI:1.10%-1.99%). After adjusted for demographic factors, univariate liner regression model indicated that age, education level, marital status, family wealth, residence, self-rated health status, WHODAS score and prevalence of chronic disease were associated with subjective well-being, and multivariate liner regression model indicated that higher WHODAS score was associated with lower net effect value (P<0.05). Conclusion: The subjective well-being feelings of people aged ≥50 years in Shanghai might be associated with age, education level, marital status, family wealth, residence, self-rated health status and WHODAS score. Enhanced social support and appropriate social security system might facilitate the improvement of the subjective well-being of the elderly.
Key words
Full text:
1
Database:
WPRIM
Main subject:
Social Support
/
China
/
Health Status
/
Cross-Sectional Studies
/
Emotions
Type of study:
Prognostic_studies
Aspects:
Patient_preference
Limits:
Aged
/
Aged80
/
Humans
Country/Region as subject:
Asia
Language:
Zh
Journal:
Chinese Journal of Epidemiology
Year:
2018
Document type:
Article