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Abstract
This study investigated the association between depressive symptoms and cognitive function according to four different trajectories of depressive symptoms in the late middle-aged and older South Korean population. Panel data from the Korean Longitudinal Study of Ageing were analyzed. We used latent class trajectory models to identify four trajectories of depressive symptoms. We performed linear mixed-effects regression analysis to assess associations between depressive-symptom trajectories and MMSE scores. Of 4,374 participants, 18.4%, 4.9%, 55.2%, and 21.5% were classified as having a low, increasing, moderate declining, and high depressive-symptom trajectory, respectively. Individuals with an increasing trajectory (β = −0.729, P ≤ 0.001), moderate trajectory (β = −0.278, P = 0.003), and high trajectory (β = −1.605, P ≤ 0.001) had lower MMSE scores compared with those in the low trajectory group. These relationships were particularly strong among women; individuals who were physically inactive; those who were separated, divorced, or single; and those with hypertension or cerebrovascular disease. Each trajectory group for depressive symptoms was associated with cognitive decline. Moreover, female, physically inactive, and single individuals, as well as those with hypertension and cerebrovascular disease should be particularly mindful of their mental and physical health to prevent cognitive decline.
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1 Graduate School, Yonsei University, Department of Public Health, Seoul, Republic of Korea (GRID:grid.15444.30) (ISNI:0000 0004 0470 5454); Yonsei University, Institute of Health Services Research, Seoul, Republic of Korea (GRID:grid.15444.30) (ISNI:0000 0004 0470 5454)
2 National Cancer Control Institute, National Cancer Center, Hospice & Palliative Care Branch, Goyang, South Korea (GRID:grid.410914.9) (ISNI:0000 0004 0628 9810)
3 Graduate School, Yonsei University, Department of Public Health, Seoul, Republic of Korea (GRID:grid.15444.30) (ISNI:0000 0004 0470 5454)
4 Yonsei University, Institute of Health Services Research, Seoul, Republic of Korea (GRID:grid.15444.30) (ISNI:0000 0004 0470 5454); Yonsei University College of Medicine, Department of Preventive Medicine, Seoul, Republic of Korea (GRID:grid.15444.30) (ISNI:0000 0004 0470 5454)
5 Department of Nursing, College of Nursing, Eulji University, Seongnam, Republic of Korea (GRID:grid.255588.7) (ISNI:0000 0004 1798 4296)