BRIEF RESEARCH REPORT article
Front. Psychol.
Sec. Psychology of Aging
Volume 16 - 2025 | doi: 10.3389/fpsyg.2025.1649231
Longitudinal Associations between Psychological Well-Being and Depressive Symptoms among Older Adults in the Baltic States
Provisionally accepted- 1Statistics Unit, Rīga Stradiņš University, Riga, Latvia
- 2Faculty of Philosophy, Institute of Psychology, Vilnius University, Vilnius, Lithuania
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Depression in later life is a pressing public health concern that is often comorbid with chronic illness and associated with substantial declines in psychological well-being. Drawing on the dual continua model of mental health, this study investigated the longitudinal, bidirectional associations between psychological well-being and depressive symptoms among older adults in the Baltic States. Using two waves of data (2019/2020 and 2021/2022) from the Survey of Health, Ageing and Retirement in Europe (SHARE), we analyzed responses from 5,874 individuals aged 50 and above in Estonia, Latvia, and Lithuania. Psychological well-being was assessed using the CASP-12 scale, and depressive symptoms using the EURO-D scale. A cross-lagged panel model, adjusted for age, gender, and multimorbidity, revealed that both constructs were moderately stable over time and negatively associated in each wave. Notably, psychological well-being at baseline significantly predicted depressive symptoms two years later (β = –0.17, p < .001), and depressive symptoms also predicted subsequent well-being (β = –0.07, p < .001), suggesting a bidirectional relationship with stronger effects from well-being to depression. These findings support the dual continua model and underscore the importance of promoting psychological well-being to mitigate depression risk in ageing populations.
Keywords: psychological well-being, depressive symptoms, Ageing, longitudinal study, BalticStates
Received: 18 Jun 2025; Accepted: 28 Aug 2025.
Copyright: © 2025 Kairys, Jurkuvenas, Skrūzkalne, Mikuličiūtė, Kalniņa and Zamalijeva. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Antanas Kairys, Statistics Unit, Rīga Stradiņš University, Riga, Latvia
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