TY - JOUR
T1 - Prevalence and Determinants of Loneliness Among Older Adults Living Alone
T2 - Evidence From a National Survey Conducted During the COVID-19 Lockdown in Mexico
AU - Ángeles-Llerenas, Angélica
AU - Rodríguez-Valentín, Rocío
AU - Romero-Martínez, Martín
AU - Katz-Guss, Gregorio
AU - Madrigal-de León, Eduardo
AU - Salvador-Carulla, Luis
AU - Lazcano-Ponce, Eduardo
N1 - Publisher Copyright:
© The Author(s) 2025.
PY - 2025
Y1 - 2025
N2 - Older people living alone are particularly vulnerable to loneliness. To contribute to the understanding of this issue in the Global South, we estimated the prevalence of loneliness and analyzed the association between sociodemographic characteristics, digital social isolation, and loneliness in older adults living alone, during the COVID-19 lockdown in Mexico. Data were drawn from the National Health and Nutrition Survey (ENSANUT) Continua COVID-19 conducted in 2020. The prevalence of loneliness was 49.8% (95% confidence interval [CI] 44.7–54.8); while the prevalence of digital social isolation was 45.3% (95% CI 40.5–50.2). A multivariate logistic regression model demonstrated that lack of education (odds ratio [OR] = 2.40, 95% CI 1.23–4.69; p =.011) and widowhood (OR = 2.51, 95% CI 1.54–4.10; p <.001) were significantly associated with loneliness. Identifying the sociodemographic characteristics of older adults living alone who are most likely to feel lonely can inform the designing of targeted interventions and policies to address loneliness in this vulnerable group.
AB - Older people living alone are particularly vulnerable to loneliness. To contribute to the understanding of this issue in the Global South, we estimated the prevalence of loneliness and analyzed the association between sociodemographic characteristics, digital social isolation, and loneliness in older adults living alone, during the COVID-19 lockdown in Mexico. Data were drawn from the National Health and Nutrition Survey (ENSANUT) Continua COVID-19 conducted in 2020. The prevalence of loneliness was 49.8% (95% confidence interval [CI] 44.7–54.8); while the prevalence of digital social isolation was 45.3% (95% CI 40.5–50.2). A multivariate logistic regression model demonstrated that lack of education (odds ratio [OR] = 2.40, 95% CI 1.23–4.69; p =.011) and widowhood (OR = 2.51, 95% CI 1.54–4.10; p <.001) were significantly associated with loneliness. Identifying the sociodemographic characteristics of older adults living alone who are most likely to feel lonely can inform the designing of targeted interventions and policies to address loneliness in this vulnerable group.
KW - information technologies
KW - living alone
KW - living arrangements
KW - loneliness
KW - older adults
KW - social isolation
UR - http://www.scopus.com/inward/record.url?scp=105002875455&partnerID=8YFLogxK
U2 - 10.1177/07334648251323689
DO - 10.1177/07334648251323689
M3 - Article
C2 - 40179484
AN - SCOPUS:105002875455
SN - 0733-4648
SP - 1
EP - 12
JO - Journal of Applied Gerontology
JF - Journal of Applied Gerontology
ER -