Submitted:
17 April 2026
Posted:
20 April 2026
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Abstract
Keywords:

Methods
Data and Sample
Measurements
Subjective Well-Being
Participation
ADL Limitations (Activity Limitation)
Analytic Strategy
Results
Descriptive Statistics
Structural Equation Models
Indirect Associations
Discussion
Implications
Limitations
Conclusion
Author Contributions
Funding
Institutional Review Board Statement
Data Availability Statement
Conflicts of Interest
Use of Artificial Intelligence
References
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| 2015 (N= 5346) | 2019 (N=2588) | ||||||
| Age | n | % | n | % | |||
| 65-69 | 679 | 12.7 | 322 | 12.44 | |||
| 70-74 | 1,146 | 21.44 | 622 | 24.03 | |||
| 75-79 | 1,115 | 20.86 | 585 | 22.6 | |||
| 80-84 | 1,064 | 19.9 | 535 | 20.67 | |||
| 85-89 | 804 | 15.04 | 355 | 13.72 | |||
| 90+ | 538 | 10.06 | 169 | 6.53 | |||
| Gender | |||||||
| Male | 2,221 | 41.55 | 995 | 38.45 | |||
| Female | 3,125 | 58.45 | 1,593 | 61.55 | |||
| Race | |||||||
| White | 3,454 | 64.61 | 1,701 | 65.73 | |||
| Black | 1,227 | 22.95 | 619 | 23.92 | |||
| Hispanic | 353 | 6.6 | 168 | 6.49 | |||
| Other | 312 | 5.84 | 100 | 3.86 | |||
| Marital status | |||||||
| Married | 2,946 | 55.11 | 1,421 | 54.91 | |||
| Not married | 2,400 | 44.89 | 1,167 | 45.09 | |||
| 2015 | 2016 | 2017 | 2018 | 2019 | |
| M(SD) | M(SD) | M(SD) | M(SD) | M(SD) | |
| ADL | .17(.26) | .22(.30) | .24(.31) | .27(.32) | .31(.33) |
| Participation | .53(.27) | .53(.27) | .52(.27) | .51(.27) | .51(.27) |
| Well-being | 6.55(.87) | 6.46(.89) | 6.43(.89) | 6.37(.90) | 6.34(.90) |
| χ2 | CFI | TLI | RMSEA | |
| M1: theory model | 4252.72 | .862 | .829 | .098 |
| M2: added covariance of residual | 3804.33 | .880 | .839 | .094 |
| M3: added covariates | 3409.74 | .890 | .844 | .074 |
| M4: Additional autoregression paths added | 2122.18 | .935 | .911 | .056 |
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