Evidence map›Paper›PMID 41102811›Full record

ArticleArchives of public health = Archives belges de sante publique2025

Five depressive symptom trajectories in three dimensions are risk factors of cancer: a ten-year follow-up study.

Ke-Jie He, Ling Ding, Ziqi Gu, Haitao Wang

Abstract read
In one paragraph

Article in Archives of public health = Archives belges de sante publique, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Ke-Jie He *The Quzhou Affiliated Hospital of Wenzhou Medical University, Quzhou People's Hospital, Quzhou City, Zhejiang Province, 324000, China. hekejie@stu.xmu.edu.cn.
Ling Ding *School of Mental Health, Wenzhou Medical University, Wenzhou, Zhejiang Province, 325035, China.
Ziqi GuPeking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, 100191, China.
Haitao WangThe School of Clinical Medical Sciences, Southwest Medical University, Luzhou, Sichuan, 646000, China.

Funding

Medical Health Science and Technology Project of Zhejiang Provincial Health Commission and Quzhou Municipal Science and Technology Bureau 2025KY1779 and 2023K117
6 · The paper itself

Abstract

backgroundThis study's goal was to investigate the long-term association between cancer risk and depression symptom trajectories, highlighting the need for dynamic evaluation of depressive symptoms across time.

methodsData from 42,911 participants were drawn from two population-based cohorts: the Health and Retirement Study (HRS) from US and the English Longitudinal Study of Ageing (ELSA). The study period covered HRS Rounds 4-12 (1998-2014) and ELSA Rounds 1-9 (2002-2018), with the first six years as the exposure period and the following ten years as the follow-up. The assessment of depressive symptoms was conducted employing the 8-item CES-D scale, with trajectories constructed over repeated assessments. Cancer diagnoses were determined based on self-reported physician confirmations. Cox regression models were used to compute the risk ratios (HR) and 95% confidence intervals (CI), taking into consideration variables linked to health and demographics.

resultsUsing those with consistently low depressive symptoms as a reference standard, other depressive symptom trajectories were linked to an elevated cancer risk. Patients with symptoms that fluctuate were at the highest risk (HR = 1.79, 95% CI: 1.70-1.90), followed by those with consistently high symptoms and increasing symptoms (HR = 1.46, 95% CI: 1.39-1.50; HR = 1.21, 95% CI: 1.18-1.25, respectively). However, no significant association was found for the decreasing symptom trajectory (HR = 0.95, 95% CI: 0.35-1.21). The total depressive symptom trajectory was a slightly stronger risk factor for cancer than the somatic and cognitive-emotional components.

conclusionsThe results support the idea that depressive symptoms are a significant risk factor for the onset of cancer. The fluctuating symptom trajectory exhibited the highest risk, underscoring the importance of considering temporal variations in depressive symptoms for cancer prevention and intervention. Integrating mental health assessments into cancer care may enhance early risk identification and improve patient outcomes.

trial registrationThis study is a retrospective analysis and was not registered.

Indexed as

CancerDepressive symptomsDynamic trajectoriesRisk factors

Identifiers

PMID41102811
PMCPMC12532912

What Socratic holds

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LicenceCC BY-NC-ND
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Registered trials

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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 Socratic graph.