Multiple Chronic Conditions, Resilience, and Workforce Transitions in Later Life: A Socio-Ecological Model | Zendy

Kendra Jason | Zendy; Dawn Carr | Zendy; Tiffany Washington | Zendy; Tandrea Hilliard | Zendy; Chivon A. Mingo | Zendy

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Multiple Chronic Conditions, Resilience, and Workforce Transitions in Later Life: A Socio-Ecological Model

Author(s) -

Kendra Jason,

Dawn Carr,

Tiffany Washington,

Tandrea Hilliard,

Chivon A. Mingo

Publication year - 2015

Publication title -

the gerontologist

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.524

H-Index - 138

eISSN - 1758-5341

pISSN - 0016-9013

DOI - 10.1093/geront/gnv101

Subject(s) - workforce , multinomial logistic regression , psychological resilience , gerontology , aging in the american workforce , psychology , logistic regression , resilience (materials science) , demographic economics , demography , medicine , social psychology , sociology , economic growth , economics , physics , thermodynamics , machine learning , computer science

Despite the growing prevalence of multiple chronic conditions (MCC), a problem that disproportionally affects older adults, few studies have examined the impact of MCC status on changes in workforce participation in later life. Recent research suggests that resilience, the ability to recover from adversity, may buffer the negative impact of chronic disease. Guided by an adapted socio-ecological risk and resilience conceptual model, this study examined the buffering effect of resilience on the relationship between individual and contextual risks, including MCC, and workforce transitions (i.e., leaving the workforce, working fewer hours, working the same hours, or working more hours).

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