Objective:
To examine nondisease factors, including sociodemographic variables, health behaviors and psychosocial factors as determinants of trajectories of disability.
Study Design And Setting:
We used a classification of 10 trajectories of disability based on a multiround prospective study design; nine trajectories grouped survivors with a similar level and time course of disability, one included all deaths. Multinomial logistic regression was used to assess associations between these trajectories and a wide range of nondisease factors.
Results:
Correcting for age, sex, and four chronic diseases, we found that sociodemographic factors (education and income), health behaviors (leisure-time physical activity and BMI), and psychosocial factors (locus of control, neuroticism, and active problem focusing) were significantly associated with the trajectories of disability. Moreover, our results pointed to factors associated with disability trajectories that were characterized by sudden increase (external locus of control and, to a lesser extent, BMI), strong fluctuations (neuroticism, BMI, external locus of control), or high severity (leisure-time physical inactivity) of disability.
Conclusion:
A wide range of nondisease factors is associated with the trajectories of disability. Preventing obesity, developing a more internal locus of control, and increasing physical activity could contribute to preventing trajectories characterized by rapid decline, large fluctuations or severe disability. Understanding the role of these factors should receive high priority.
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PMID: 39026589
PMC: 11256785.
DOI: 10.3389/fpubh.2024.1380657.
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DOI: 10.3390/healthcare11101420.
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DOI: 10.12659/MSM.936207.
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PMID: 35105338
PMC: 8805337.
DOI: 10.1186/s12877-021-02720-x.
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J Am Med Dir Assoc. 2020; 21(8):1141-1147.e1.
PMID: 32037299
PMC: 7396287.
DOI: 10.1016/j.jamda.2019.12.021.
Exercise interventions for cerebral palsy.
Ryan J, Cassidy E, Noorduyn S, OConnell N
Cochrane Database Syst Rev. 2017; 6:CD011660.
PMID: 28602046
PMC: 6481791.
DOI: 10.1002/14651858.CD011660.pub2.
Disability, Physical Inactivity, and Impaired Health-Related Quality of Life Are Not Different in Metabolically Healthy vs. Unhealthy Obese Subjects.
Donini L, Merola G, Poggiogalle E, Lubrano C, Gnessi L, Mariani S
Nutrients. 2016; 8(12).
PMID: 27897994
PMC: 5188414.
DOI: 10.3390/nu8120759.
Moving Toward an Understanding of Disability in Older U.S. Stroke Survivors.
Brenner A, Burke J, Skolarus L
J Aging Health. 2016; 30(1):75-104.
PMID: 27605555
PMC: 5534387.
DOI: 10.1177/0898264316666125.
Progressive and accelerated disability onset by race/ethnicity and education among late midlife and older adults.
Latham K
J Aging Health. 2012; 24(8):1320-45.
PMID: 22982972
PMC: 3484230.
DOI: 10.1177/0898264312459345.
Evaluation design of a reactivation care program to prevent functional loss in hospitalised elderly: a cohort study including a randomised controlled trial.
Asmus-Szepesi K, de Vreede P, Nieboer A, van Wijngaarden J, Bakker T, Steyerberg E
BMC Geriatr. 2011; 11:36.
PMID: 21812988
PMC: 3161861.
DOI: 10.1186/1471-2318-11-36.
Do positive psychological characteristics modify the associations of physical performance with functional decline and institutionalization? Findings from the longitudinal aging study Amsterdam.
Cooper R, Huisman M, Kuh D, Deeg D
J Gerontol B Psychol Sci Soc Sci. 2011; 66(4):468-77.
PMID: 21743041
PMC: 3132268.
DOI: 10.1093/geronb/gbr049.
Religiousness and Longitudinal Trajectories in Elders' Functional Status.
Park N, Klemmack D, Roff L, Parker M, Koenig H, Sawyer P
Res Aging. 2011; 30(3):279-298.
PMID: 20485460
PMC: 2871343.
DOI: 10.1177/0164027507313001.
Interviews for the assessment of long-term incapacity for work: a study on adherence to protocols and principles.
de Boer W, Wind H, van Dijk F, Willems H
BMC Public Health. 2009; 9:169.
PMID: 19490614
PMC: 2698854.
DOI: 10.1186/1471-2458-9-169.