Older People's Personal Strengths During the First Wave of the COVID-19 Pandemic.
Psicothema
; 33(3): 423-432, 2021 08.
Article
in English
| MEDLINE | ID: covidwho-1323427
ABSTRACT
BACKGROUND:
Although several biopsychosocial variables could play an important role as risk and protective factors of mental health, COVID-19 outbreak studies among older people have seldom focused on protective factors. The purpose of this study was to analyze how older adults' personal strengths predict their well-being and emotional distress.METHOD:
783 Spanish people aged 60 and over completed a survey that included sociodemographic characteristics, perceived health, direct or indirect infection by COVID-19, resilience, gratitude, experiential avoidance, family functioning, emotional distress and well-being. Structural Equation Modelling (SEM) was performed. SEM invariance was also used to analyze whether there were differences between older people affected by COVID-19 and those not affected.RESULTS:
The best model supports the mediation effect of resilience, gratitude and experiential avoidance on older people's well-being and emotional distress. Whether participants or relatives had been infected by the virus or not did not affect the results.CONCLUSIONS:
Variables used as criteria in older adults are related to well-being and emotional distress, but only indirectly and mediated by resilience, gratitude and experiential avoidance. This confirms the importance of considering psychological strengths in older people's well-being. Interventions focused on these personal resources should be considered.
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Main subject:
Adaptation, Psychological
/
Resilience, Psychological
/
Pandemics
/
SARS-CoV-2
/
COVID-19
Type of study:
Etiology study
/
Observational study
/
Prognostic study
/
Qualitative research
/
Randomized controlled trials
Limits:
Aged
/
Female
/
Humans
/
Male
/
Middle aged
Language:
English
Journal:
Psicothema
Journal subject:
Psychology
Year:
2021
Document Type:
Article
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