Background: Previous research examining the relationship between loneliness and depressive symptoms often treated these constructs as static traits rather than dynamic states. The current study focused on the short-term, prospective link between loneliness and depressive symptoms, while also analyzing potential gender differences.
Methods: We modeled panel data from seven bi-weekly assessments gathered in the FRequent health Assessment In Later life (FRAIL70+) study. At baseline, the sample size amounted to N = 426 community-dwelling older adults aged 70 years or older in Austria. The relationship between loneliness and depressive symptoms was analyzed using a latent change score modeling framework.
Results: As regards depressive symptoms, women showed higher initial levels and more change across the three months than men. Loneliness did not considerably change across time for both sexes. Moreover, greater levels of loneliness at a given point in time were associated with an accelerated increase in depressive symptoms two weeks later in women but not in men.
Conclusion: Loneliness appeared to be a potential determinant of future increases in depressive symptoms. The varying effects observed between men and women suggest potential gender differences in short-term fluctuations of depressive symptoms and their underlying mechanisms.
Keywords: Depressive symptoms; Dynamics; Gender; Loneliness; Prospective; Short-term.
Copyright © 2024. Published by Elsevier B.V.