Evidence map›Paper›PMID 28817836›Full record

Observational studyBritish journal of cancer2017

Sitting, physical activity, and serum oestrogen metabolism in postmenopausal women: the Women's Health Initiative Observational Study.

Hannah Oh, Hannah Arem, Charles E Matthews, Nicolas Wentzensen, Kerryn W Reding, Louise A Brinton, Garnet L Anderson, Sally B Coburn, Jane A Cauley, Chu Chen and 5 more

Open access · hybridAbstract readObservational Study
In one paragraph

Observational study in British journal of cancer, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 2 pooled it
0.9field-weighted citation impact, top 25% 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

16 citing papers in PubMed, 2 syntheses or guidelines pooled it, 25 citations in OpenAlex.

  1. Metabolomic profiles of being physically active and less sedentary: a critical review.Metabolomics : Official journal of the Metabolomic Society · 2021
    Pooled it
  2. Pooled it
  3. Trial
  4. Article
  5. Article
  6. Lifestyle-Based Approaches to Cancer Prevention and Treatment: Diet, Physical Activity, and Integrative Strategies.Pathophysiology : the official journal of the International Society for Pathophysiology · 2025
    Review
  7. Review
  8. Article
  9. Cancer Prevention and Treatment Based on Lifestyles.Cancer treatment and research · 2024
    Review
  10. Article
  11. Article
  12. Recreational Physical Activity, Sitting, and Androgen Metabolism among Postmenopausal Women in the Women's Health Initiative Observational Study.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2022
    Observational
  13. Prolonged sitting time links to subclinical atherosclerosis.Journal of the Chinese Medical Association : JCMA · 2022
    Article
  14. Article
  15. Review
  16. 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

15 authors at 9 institutions in 1 country.

Hannah OhDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA.
Hannah AremDepartment of Epidemiology and Biostatistics, Milken Institute School of Public Health, The George Washington University, Washington, DC, USA.
Charles E MatthewsDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA.
Nicolas WentzensenDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA.
Kerryn W RedingDepartment of Biobehavioral Nursing and Health Informatics, School of Nursing, University of Washington, Seattle, WA, USA.
Louise A BrintonDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA.
Garnet L AndersonProgram in Epidemiology, Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
Sally B CoburnDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA.
Jane A CauleyDepartment of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA.
Chu ChenProgram in Epidemiology, Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
Deborah GoodmanDepartment of Epidemiology, University of California-Irvine, Irvine, CA, USA.
Ruth M PfeifferDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA.
Roni T FalkDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA.
Xia XuCancer Research Technology Program, Leidos Biomedical Research, Inc., Frederick National Laboratory for Cancer Research, Frederick, MD, USA.
Britton TrabertDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA.
National Cancer Institute · USDivision of Cancer Epidemiology and GeneticsFred Hutch Cancer Center · USFrederick National Laboratory for Cancer Research · USGeorge Washington University · USNeurobehavioral Systems · USRutgers, The State University of New Jersey · USUniversity of California, Irvine · USUniversity of Pittsburgh · US

Funding

Hormone-Related CancersZIACP010126 · NCI · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · PI GIERACH, GRETCHEN · 2009 to 2025
$103.5M
NHLBI NIH HHS HHSN268201100001INHLBI NIH HHS HHSN268201100002INHLBI NIH HHS HHSN268201100004INHLBI NIH HHS HHSN268201100046CNIA NIH HHS HHSN271201100004CWHI NIH HHS HHSN268201100001CWHI NIH HHS HHSN268201100002CWHI NIH HHS HHSN268201100003CWHI NIH HHS HHSN268201100004C
6 · The paper itself

Abstract

backgroundProlonged sitting and lower levels of physical activity have been associated with increased levels of parent oestrogens (oestrone and oestradiol), the key hormones in female cancers, in postmenopausal women. However, it is unknown whether sitting and physical activity are associated with circulating oestrogen metabolite levels.

methodsAmong 1804 postmenopausal women enrolled in the Women's Health Initiative Observational Study, 15 serum oestrogens/oestrogen metabolites were quantified using liquid chromatography-tandem mass spectrometry. Physical activity and sitting were self-reported via questionnaire. Using baseline, cross-sectional data, geometric means (GM) of oestrogens/oestrogen metabolites (pmol l

resultsLonger time spent sitting (⩾10 vs ⩽5h per day) was associated with higher levels of unconjugated oestrone, independent of moderate- to vigorous-intensity physical activity and body mass index, among both never/former (GM=70.6 vs 57.7) and current MHT users (GM=242 vs 179) (P-trend ⩽0.03). Among never/former MHT users, sitting (⩾10 vs ⩽5h per day) was positively associated with 2-methoxyestradiol (GM=16.4 vs 14.4) and 4-methoxyestradiol (GM=2.36 vs 1.98) (P-trend ⩽0.04), independent of parent oestrogens. Inverse associations between moderate- to vigorous-intensity physical activity (⩾15 vs 0 metabolic equivalent task-hours per week) and parent oestrogens were found as expected. After adjustment for parent oestrogens, physical activity was not associated with oestrogen metabolites.

conclusionsOur data suggest that prolonged sitting and lower moderate- to vigorous-intensity physical activity are associated with higher levels of postmenopausal oestrogens/oestrogen metabolites, the oestrogen metabolism patterns that have previously been associated with higher endometrial and breast cancer risk.

Indexed as

Sedentary Behavior2-MethoxyestradiolAgedEstradiolEstrogensEstroneExerciseFemaleHormone Replacement TherapyHumansMiddle AgedPostmenopausePostureSurveys and Questionnaires2-Methoxyestradiol4-methoxyestradiolEstradiolEstrogensEstrone

Identifiers

PMID28817836
PMCPMC5625673
OpenAlexW2750556423

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.