Evidence map›Paper›PMID 25462388›Full record

ArticleJournal of affective disorders2015

Depression as a risk factor for overall and hormone-related cancer: the Korean cancer prevention study.

Hyoung Yoon Chang, Katherine M Keyes, Yejin Mok, Keum Ji Jung, Yee-Jin Shin, Sun Ha Jee

Open access · greenAbstract read
In one paragraph

Article in Journal of affective disorders, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 3 pooled it
0.6field-weighted citation impact, top 32% of its field
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

22 citing papers in PubMed, 3 syntheses or guidelines pooled it, 46 citations in OpenAlex.

  1. Pooled it
  2. Psychological Stress and Cellular Aging in Cancer: A Meta-Analysis.Oxidative medicine and cellular longevity · 2019
    Pooled it
  3. Pooled it
  4. Article
  5. Review
  6. Response to Lehrer.Journal of the National Cancer Institute · 2025
    Article
  7. Timing of depression in relation to risk of ovarian cancer.Journal of the National Cancer Institute · 2025
    Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. The Risk and The Course of Cancer Among People with Severe Mental Illness.Clinical practice and epidemiology in mental health : CP & EMH · 2023
    Review
  14. Article
  15. Review
  16. Article
  17. Article
  18. Review
  19. Article
  20. Article
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

6 authors at 3 institutions in 2 countries.

Hyoung Yoon ChangDepartment of Psychiatry, Ajou University College of Medicine, Gyeonggi-do, South Korea.
Katherine M KeyesDepartment of Epidemiology, Columbia University Mailman School of Public Health, New York, USA.
Yejin MokInstitute for Health Promotion, Department of Epidemiology and Health Promotion, Graduate School of Health Promotion, Yonsei University, Seoul, South Korea.
Keum Ji JungInstitute for Health Promotion, Department of Epidemiology and Health Promotion, Graduate School of Health Promotion, Yonsei University, Seoul, South Korea.
Yee-Jin ShinDepartment of Psychiatry, Yonsei University College of Medicine, Seoul, South Korea.
Sun Ha JeeInstitute for Health Promotion, Department of Epidemiology and Health Promotion, Graduate School of Health Promotion, Yonsei University, Seoul, South Korea. Electronic address: jsunha@yuhs.ac.
Yonsei University · KRAjou University · KRColumbia University · US

Funding

Race, alcohol consumption and vehicle crashes: an epidemiologic paradoxK01AA021511 · NIAAA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI KEYES, KATHERINE M. · 2013 to 2017
$904k
NIAAA NIH HHS K01 AA021511
6 · The paper itself

Abstract

Depression has been hypothesized to be a risk factor of cancer, especially hormone-related cancers. However, few studies have been conducted with large enough sample size and sufficient follow-up period to rigorously estimate these associations. We aim to examine the relationship between depression and risk of registry-documented overall and hormone-related cancers. In this 19 year prospective cohort study of general population, 601,775 Koreans aged 30-64 years had a biennial medical evaluation by the National Health Insurance Service in either 1992 or 1994. Major and minor depression was ascertained by a 9-item depression questionnaire. At baseline, major depression was identified in 7.4% and 10.2% and minor depression in 19.3% and 21.4% in men and women, respectively. During the follow-up, 49,744 cancers were identified in men and 7860 in women. Prostate cancer in men was positively related to minor depression (HR 1.13, 95% CI 1.05, 1.23), and cervical cancer in women was inversely related to major depression (HR 0.90, 95% CI 0.83, 0.98) after adjusting for potential confounders. Regarding overall cancer, major depression was positively related to overall cancer in men (HR 1.04, 95% CI 1.00, 1.08) and inversely related in women (HR 0.90, 95% CI 0.83, 0.98). There was no association between breast cancer and depression. Different direction and magnitude of association among gender and cancer subtypes suggest different psycho-behavioral and biological pathways in which depression may affect later cancer development. Further studies on the association of depression and cancer and the underlying mechanisms should be conducted on specific cancer subtypes.

Indexed as

AdultAsian PeopleBreast NeoplasmsCohort StudiesDepressionFemaleHumansMajor Depressive DisorderMaleMiddle AgedProspective StudiesProstatic NeoplasmsRegistriesRepublic of KoreaRisk FactorsUterine Cervical NeoplasmsCancerCervical cancerDepressionProstate cancerRepublic of Korea

Identifiers

PMID25462388
PMCPMC4402221
OpenAlexW2005736990

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.