z-logo
open-access-imgOpen Access
Dual Trajectories of Social Isolation and Dementia in Older Adults: A Population-Based Longitudinal Study
Author(s) -
Xiaoling Xiang,
Patrick Ho Lam Lai,
Luoman Bao,
Yihang Sun,
Jieling Chen,
Ruth E. Dunkle,
Donovan T. Maust
Publication year - 2020
Publication title -
journal of aging and health
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.041
H-Index - 75
eISSN - 1552-6887
pISSN - 0898-2643
DOI - 10.1177/0898264320953693
Subject(s) - dementia , social isolation , gerontology , longitudinal study , isolation (microbiology) , psychology , medicine , population , demography , psychiatry , disease , sociology , environmental health , biology , pathology , microbiology and biotechnology
Objectives: To identify the interrelations between the trajectories of social isolation and dementia in older adults. Methods: Data came from the National Health and Aging Trends Study 2011-2018 surveys. Group-based dual trajectory modeling was used to examine trajectories and their interrelations. Results: Four trajectories of social isolation-rarely isolated (62.2%), steady increase (13.5%), steady decrease (7.4%), and persistently isolated (16.9%) and dementia risk-persistently low risk (80.4%), increasing with early onset (3.9%), increasing with late onset (4.5%), and persistently high risk (11.2%) emerged. Two-thirds of the low-risk dementia group were in the rarely isolated group. The high-risk dementia group had the most overlap with the decreasing social isolation group (47%), followed by the persistently isolated group (28%). Conclusions: Social isolation and dementia mostly evolved in the same direction. However, the pattern of associations between these trajectories is intricate and may be reversed among long-term dementia survivors.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom