TY - JOUR
T1 - Predictors of mental health during the COVID-19 pandemic in older adults
T2 - the role of socio-demographic variables and COVID-19 anxiety
AU - Caycho-Rodríguez, Tomás
AU - Tomás, José M.
AU - Vilca, Lindsey W.
AU - García, Cirilo H.
AU - Rojas-Jara, Claudio
AU - White, Michael
AU - Peña-Calero, Brian Norman
N1 - Publisher Copyright:
© 2021 Informa UK Limited, trading as Taylor & Francis Group.
PY - 2022
Y1 - 2022
N2 - The objective of this study was to evaluate factors related to the mental health of Peruvian older adults during the COVID-19 pandemic. The study had a cross-sectional and observational design. A total of 274 older adults in Lima, Peru (Mage = 67.86) filled out a sociodemographic survey, the Coronavirus Anxiety Scale, Mental Health Inventory-5, Patient Health Questionnaire-2 item, and Generalized Anxiety Disorder Scale. A Structural Equation Model (SEM) was estimated to test an a priori model that relates the sociodemographic variables, COVID-19 Anxiety, psychological well-being, anxiety and depression. The model fit indices indicated a good fit to the data. The socio-demographic variables explained 23.8% of the variance of the COVID-19 Anxiety (R2 = .238). Socio-demographic variables explained 50.5% of psychological well-being variance, 52% of anxiety and 46.9% of depression. Also, sex, work; being diagnosed with COVID-19; family member with COVID-19 diagnosis; and time of exposure to COVID-19 information had statistically significant effects psychological well-being, anxiety and depression. In conclusion, some sociodemographic characteristics and COVID-19 anxiety affect the psychological well-being, anxiety and depression. The findings may allow for a better understanding of the mental health of older adults during the COVID-19 pandemic and guide government responses to detect, anticipate and minimize its impact on the mental health of this population.
AB - The objective of this study was to evaluate factors related to the mental health of Peruvian older adults during the COVID-19 pandemic. The study had a cross-sectional and observational design. A total of 274 older adults in Lima, Peru (Mage = 67.86) filled out a sociodemographic survey, the Coronavirus Anxiety Scale, Mental Health Inventory-5, Patient Health Questionnaire-2 item, and Generalized Anxiety Disorder Scale. A Structural Equation Model (SEM) was estimated to test an a priori model that relates the sociodemographic variables, COVID-19 Anxiety, psychological well-being, anxiety and depression. The model fit indices indicated a good fit to the data. The socio-demographic variables explained 23.8% of the variance of the COVID-19 Anxiety (R2 = .238). Socio-demographic variables explained 50.5% of psychological well-being variance, 52% of anxiety and 46.9% of depression. Also, sex, work; being diagnosed with COVID-19; family member with COVID-19 diagnosis; and time of exposure to COVID-19 information had statistically significant effects psychological well-being, anxiety and depression. In conclusion, some sociodemographic characteristics and COVID-19 anxiety affect the psychological well-being, anxiety and depression. The findings may allow for a better understanding of the mental health of older adults during the COVID-19 pandemic and guide government responses to detect, anticipate and minimize its impact on the mental health of this population.
KW - Covid-19 anxiety
KW - mental health
KW - older adults
KW - socio-demographic variables
UR - http://www.scopus.com/inward/record.url?scp=85108797537&partnerID=8YFLogxK
U2 - 10.1080/13548506.2021.1944655
DO - 10.1080/13548506.2021.1944655
M3 - Article
C2 - 34157907
AN - SCOPUS:85108797537
SN - 1354-8506
VL - 27
SP - 453
EP - 465
JO - Psychology, Health and Medicine
JF - Psychology, Health and Medicine
IS - 2
ER -