Digital exclusion and depressive symptoms among older people: Findings from five aging cohort studies across 24 countries DOI Creative Commons
Jingjing Wang, Xinran Lu, Cindy Sing Bik Ngai

и другие.

Health Data Science, Год журнала: 2024, Номер 5

Опубликована: Янв. 10, 2024

Background: Digital exclusion is a global issue that disproportionately affects older individuals especially in low- and middle-income nations. However, there wide gap current research regarding the impact of digital on mental health adults both high-income countries. Methods: We analyzed data from 5 longitudinal cohorts: Health Retirement Study (HRS), English Longitudinal Aging (ELSA), Survey Health, Ageing Europe (SHARE), China (CHARLS), Mexican (MHAS). These cohorts consisted nationwide samples 24 was defined as self-reported lack access to internet. Depressive symptoms were assessed using comparable scales across all cohorts. used generalized estimating equation models, fitting Poisson model, investigate association between depressive symptoms. adjusted for causal directed acyclic graph (DAG) minimal sufficient adjustment set (MSAS), which includes gender, age, retirement status, education, household wealth, social activities, weekly contact with their children. Results: During study period (2010–2018), 122,242 participants underwent up rounds follow-up. varied greatly countries, ranging 21.1% Denmark 96.9% China. The crude model revealed significant This remained statistically MSAS-adjusted HRS [incidence rate ratio (IRR), 1.37; 95% confidence interval (CI), 1.28 1.47], ELSA (IRR, 1.32; CI, 1.23 1.41), SHARE 1.30; 1.27 1.33), CHARLS 1.62; 1.38 1.91), MHAS 1.31; 1.26 1.37); P s < 0.001. Notably, this consistently stronger living lower wealth quintile households among those who do not regularly interact children, except ELSA. Conclusions: globally widespread adults. Older are digitally excluded at higher risk developing symptoms, particularly limited communication offspring households. Prioritizing provision internet populations may help reduce risks depression vulnerable groups familial support income.

Язык: Английский

Digital exclusion and depressive symptoms among older people: Findings from five aging cohort studies across 24 countries DOI Creative Commons
Jingjing Wang, Xinran Lu, Cindy Sing Bik Ngai

и другие.

Health Data Science, Год журнала: 2024, Номер 5

Опубликована: Янв. 10, 2024

Background: Digital exclusion is a global issue that disproportionately affects older individuals especially in low- and middle-income nations. However, there wide gap current research regarding the impact of digital on mental health adults both high-income countries. Methods: We analyzed data from 5 longitudinal cohorts: Health Retirement Study (HRS), English Longitudinal Aging (ELSA), Survey Health, Ageing Europe (SHARE), China (CHARLS), Mexican (MHAS). These cohorts consisted nationwide samples 24 was defined as self-reported lack access to internet. Depressive symptoms were assessed using comparable scales across all cohorts. used generalized estimating equation models, fitting Poisson model, investigate association between depressive symptoms. adjusted for causal directed acyclic graph (DAG) minimal sufficient adjustment set (MSAS), which includes gender, age, retirement status, education, household wealth, social activities, weekly contact with their children. Results: During study period (2010–2018), 122,242 participants underwent up rounds follow-up. varied greatly countries, ranging 21.1% Denmark 96.9% China. The crude model revealed significant This remained statistically MSAS-adjusted HRS [incidence rate ratio (IRR), 1.37; 95% confidence interval (CI), 1.28 1.47], ELSA (IRR, 1.32; CI, 1.23 1.41), SHARE 1.30; 1.27 1.33), CHARLS 1.62; 1.38 1.91), MHAS 1.31; 1.26 1.37); P s < 0.001. Notably, this consistently stronger living lower wealth quintile households among those who do not regularly interact children, except ELSA. Conclusions: globally widespread adults. Older are digitally excluded at higher risk developing symptoms, particularly limited communication offspring households. Prioritizing provision internet populations may help reduce risks depression vulnerable groups familial support income.

Язык: Английский

Процитировано

0