Evidence map›Paper›PMID 41945276›Full record

ArticleGeroScience2026

Longitudinal course of depressive symptoms and the risk of all-cause mortality in a nationally representative cohort of middle-aged and older adults in South Korea: exploring the mediating role of social frailty.

Seong-Uk Baek, Jin-Ha Yoon

Abstract read
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In one paragraph

Article in GeroScience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Seong-Uk BaekGraduate School, Yonsei University College of Medicine, Seoul, South Korea.
Jin-Ha YoonDepartment of Preventive Medicine, Yonsei University College of Medicine, 50-1 Yonsei-Ro, Seodaemun-Gu, Seoul, 03722, South Korea. flyinyou@yuhs.ac.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Social frailty is a major risk factor for adverse health outcomes in older adults. This cohort study explored the mediating role of social frailty in the relationship between depressive symptom trajectories and all-cause mortality among middle-aged and older adults. A nationwide cohort of 6653 participants aged ≥ 45 years was included in this study. Longitudinal courses of depressive symptoms measured using the Center of Epidemiologic Studies Depression Scale (10-item version) from 2006 to 2014 were classified using growth mixture modeling. The associations of depressive symptom trajectories with all-cause deaths until 2022 were determined using a Cox model. Mediation analyses were conducted to evaluate the mediating role of social frailty on these associations. Hazard ratios (HRs) and 95% confidence intervals (CIs) were computed. Four trajectories of depressive symptoms were identified: stable-low (n = 5462; 82.1%), decreasing (n = 334; 5.0%), increasing (n = 708; 10.6%), and stable-high (n = 149; 2.2%). Compared to those experiencing stable-low trajectory, individuals experiencing increasing (HR 1.42, 95% CI 1.21-1.66) and stable-high (HR 1.48, 95% CI 1.11-1.97) trajectories had an elevated risk for all-cause mortality. The mediation analyses showed that social frailty explained 46.3% and 40.9% of the associations between increasing and stable-high trajectories and all-cause mortality, respectively, compared to stable-low trajectory. This study found that social frailty may be a major psychosocial mechanism linking poor late-life depressive symptom trajectories to mortality risk. Policy implementation is warranted to reduce social frailty in older adults with depressive symptoms.

Indexed as

Cohort studyDepressionGroup-based trajectory modelingMental healthSocial isolation

Identifiers

PMID41945276

What OpenQuestion holds

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.