Evidence map›Paper›PMID 28306624›Full record

ArticlePsychosomatic medicine

The Association of Work Characteristics With Ovarian Cancer Risk and Mortality.

Claudia Trudel-Fitzgerald, Elizabeth M Poole, Annika Idahl, Eva Lundin, Anil K Sood, Ichiro Kawachi, Laura D Kubzansky, Shelley S Tworoger

Abstract read
In one paragraph

Article in Psychosomatic medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
3.4field-weighted citation impact, top 7% 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

12 citing papers in PubMed, 24 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Role of stress in the pathogenesis of cancer (Review).International journal of oncology · 2023
    Review
  5. Prevention of Epithelial Ovarian Cancer.Cold Spring Harbor perspectives in medicine · 2023
    Review
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Review
  12. 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

8 authors at 1 institution in 1 country.

Claudia Trudel-FitzgeraldFrom the Department of Social and Behavioral Sciences (Trudel-Fitzgerald, Kawachi, Kubzansky), Harvard T.H. Chan School of Public Health, Boston, Massachusetts; Channing Division of Network Medicine, Department of Medicine (Poole, Tworoger), Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts; Department of Clinical Sciences, Obstetrics and Gynecology (Idahl), Umeå University, Umeå, Sweden; Department of Medical Biosciences, Pathology (Lundin), Umeå University, Umeå, Sweden; Department of Gynecologic Oncology and Reproductive Medicine (Sood), Division of Surgery, The University of Texas MD Anderson Cancer Center, Houston, Texas; and Department of Epidemiology (Tworoger), Harvard T.H. Chan School of Public Health Boston, Massachusetts.
Elizabeth M Poole
Annika Idahl
Eva Lundin
Anil K Sood
Ichiro Kawachi
Laura D Kubzansky
Shelley S Tworoger
Umeå University · SE

Funding

Statistical MethodsP01CA087969 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI ELIASSEN, A. HEATHER, TAMIMI, RULLA M · 2000 to 2019
$77.8M
Long Term Multidisciplinary Study of Cancer in Women: The Nurses Health StudyUM1CA186107 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI ELIASSEN, A. HEATHER, STAMPFER, MEIR · 2014 to 2023
$22.3M
Life Course Cancer Epidemiology Cohort in WomenUM1CA176726 · NCI · HARVARD SCHOOL OF PUBLIC HEALTH · PI WILLETT, WALTER C. · 2013 to 2017
$15.7M
Psychological stress, associate biologic mediators, and ovarian cancer riskR01CA163451 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI TWOROGER, SHELLEY S · 2012 to 2015
$1.7M
NCI NIH HHS P01 CA087969NCI NIH HHS R01 CA163451NCI NIH HHS UM1 CA176726NCI NIH HHS UM1 CA186107
6 · The paper itself

Abstract

objectiveOvarian cancer (OvCA) is a leading cause of cancer death for women. Depression and social isolation have been associated with a higher OvCA risk and poorer survival, but other forms of chronic psychosocial stress, including work-related characteristics, remain understudied.

methodsWomen from three prospective cohorts (Nurses' Health Study: n = 31,754; Nurses' Health Study II: n = 74,260; Northern Sweden Health and Disease Study: nnested case-control study = 196) completed a job questionnaire, assessing demand and control at work, social support provided by coworkers and supervisor, and job security. Multivariate Cox and conditional logistic regression models estimated hazard ratios (Nurses' Health Study/Nurses' Health Study II) and odd ratios (Northern Sweden Health and Disease Study) of OvCA risk and mortality among cases. Random coefficient models were used for meta-analyses.

resultsThere were 396 OvCA cases and 186 deaths during follow-up. Overall, job strain, strain chronicity, social support, and job security were not significantly associated with OvCA risk (e.g., pooled relative risk [RR]high demand/low control = 1.06, confidence interval [CI] = 0.72-1.55) or mortality (e.g., pooled RRhigh demand/low control = 1.08, CI = 0.64-1.82). When considered individually, compared with low levels, only moderate levels of demand were associated with a reduced OvCA risk (pooled RR = 0.66, CI = 0.49-0.90). Social support provided by the coworker or the supervisor did not moderate the association of job strain with either OvCA risk or overall mortality.

conclusionsWe did not observe clear associations between work characteristics and OvCA incidence or mortality, but further research with diverse populations is warranted.

Indexed as

Social SupportAdultAgedAged, 80 and overCase-Control StudiesFemaleFollow-Up StudiesHumansMiddle AgedOccupational StressOvarian NeoplasmsRiskSwedenUnited States

Identifiers

PMID28306624
PMCPMC5601015
OpenAlexW2595324448

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.