Evidence map›Paper›PMID 38573893›Full record

ArticlePloS one2024

Correlates of physical activity and sedentary behavior among cancer survivors and cancer-free women: The Women's Health Accelerometry Collaboration.

Samantha Schilsky, Annie Green Howard, Christopher C Moore, Carmen C Cuthbertson, Humberto Parada, I-Min Lee, Chongzhi Di, Michael J LaMonte, Julie E Buring, Eric J Shiroma and 2 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 41% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

12 authors at 8 institutions in 1 country.

Samantha SchilskyDepartment of Epidemiology, Gillings School of Global Public Health, University of North Carolina Chapel Hill, Chapel Hill, North Carolina, United States of America.
Annie Green HowardDepartment of Biostatistics, Gillings School of Global Public Health, University of North Carolina Chapel Hill, Chapel Hill, North Carolina, United States of America.
Christopher C MooreDepartment of Epidemiology, Gillings School of Global Public Health, University of North Carolina Chapel Hill, Chapel Hill, North Carolina, United States of America.
Carmen C CuthbertsonDepartment of Health Education and Promotion, East Carolina University, Greenville, North Carolina, United States of America.
Humberto ParadaDivision of Epidemiology and Biostatistics, School of Public Health, San Diego State University, San Diego, California, United States of America.
I-Min LeeDivision of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, United States of America.
Chongzhi DiBiostatistics Program, Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, Washington, United States of America.
Michael J LaMonteDepartment of Epidemiology and Environmental Health, University of Buffalo, Buffalo, New York, United States of America.
Julie E BuringDivision of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, United States of America.
Eric J ShiromaClinical Applications and Prevention Branch, National Institutes of Health, National Heart Lung Blood Institute, Bethesda, Maryland, United States of America.
Andrea Z LaCroixHerbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla, California, United States of America.
Kelly R EvensonDepartment of Epidemiology, Gillings School of Global Public Health, University of North Carolina Chapel Hill, Chapel Hill, North Carolina, United States of America.ORCID 0000-0002-3720-5830
University of North Carolina at Chapel Hill · USBrigham and Women's Hospital · USEast Carolina University · USFred Hutch Cancer Center · USNational Institutes of Health · USSan Diego State University · USUniversity at Buffalo, State University of New York · USUniversity of California San Diego · US

Funding

WOMEN'S HEALTH INITIATIVE - CLINICAL COORDINATING CENTER: TASK AREA B - LONG LIFE STUDY VISIT 2 LIMITED HOME VISIT75N92021D00001 · NHLBI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI ANDERSON, GARNET L. · 2021 to 2025
$52.0M
UNC-CH CENTER FOR ENVIRONMENTAL HEALTH &SUSCEPTIBILITYP30ES010126 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Hazel B Nichols · 2001 to 2026
$36.3M
University of Buffalo Clinical and Translational Science Institute - Supplement SchulyerUL1TR001412 · NCATS · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI MURPHY, TIMOTHY F · 2015 to 2024
$33.8M
Women's Health Study: Continued Follow-upR01CA047988 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI BURING, JULIE E., LEE, I-MIN · 1991 to 2014
$28.2M
Research Education CoreU54CA132384 · NCI · SAN DIEGO STATE UNIVERSITY · PI CRIPPS, RICHARD MATTHEW, CROWE, SHEILA E. · 2008 to 2022
$20.7M
Research Education CoreU54CA132379 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ARREDONDO, ELVA M, CROWE, SHEILA E. · 2008 to 2021
$16.1M
Cardiovascular Epidemiology Training GrantT32HL007055 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Wayne D. Rosamond · 1986 to 2026
$10.0M
San Diego Resource Center for advancing Alzheimer's Research in Minority Seniors (ARMS)P30AG059299 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI JOHN P. ELDER, PAUL E GILBERT · 2018 to 2026
$7.4M
WOMEN'S HEALTH INITIATIVE (WHI) REGIONAL CENTER (RC): TASK AREA A AND A275N92021D00002 · NHLBI · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI WACTAWSKI-WENDE, JEAN · 2021 to 2025
$6.9M
WOMEN'S HEALTH INITIATIVE (WHI) REGIONAL CENTER (RC) - TO EXERCISE OPTION PERIOD ONE (1) AND REVISE CONTRACT ARTICLES.75N92021D00004 · NHLBI · STANFORD UNIVERSITY · PI STEFANICK, MARCIA · 2021 to 2025
$6.5M
WOMEN'S HEALTH INITIATIVE (WHI) REGIONAL CENTER (RC) - TO EXERCISE OPTION PERIOD ONE (1) AND REVISE CONTRACT ARTICLES.75N92021D00003 · NHLBI · OHIO STATE UNIVERSITY · PI JACKSON, REBECCA · 2021 to 2025
$5.0M
Objective Physical Activity and Cardiovascular Health in Women Aged 80 and OlderR01HL105065 · NHLBI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI LACROIX, ANDREA Z. · 2011 to 2014
$5.0M
NCATS NIH HHS UL1 TR001412NCI NIH HHS K01 CA234317NCI NIH HHS R01 CA047988NCI NIH HHS R01 CA154647NCI NIH HHS R01 CA227122NCI NIH HHS U01 CA182913NCI NIH HHS U54 CA132379NCI NIH HHS U54 CA132384NCI NIH HHS UM1 CA182913NHLBI NIH HHS 75N92021D00001NHLBI NIH HHS 75N92021D00002NHLBI NIH HHS R01 HL043851NHLBI NIH HHS R01 HL080467NHLBI NIH HHS R01 HL105065NHLBI NIH HHS RC1 HL099355NHLBI NIH HHS T32 HL007055NIA NIH HHS P30 AG059299NIEHS NIH HHS P30 ES010126WHI NIH HHS 75N92021D00003WHI NIH HHS 75N92021D00004WHI NIH HHS 75N92021D00005
6 · The paper itself

Abstract

backgroundDescribing correlates of physical activity (PA) and sedentary behavior (SB) among postmenopausal cancer survivors can help identify risk profiles and can be used to support development of targeted interventions to improve PA and reduce SB in this population.

objectiveTo describe PA/SB and identify correlates of PA/SB among cancer and cancer-free post-menopausal women.

methodsWomen from the Women's Health Study (N = 16,629) and Women's Health Initiative/Objective Physical Activity and Cardiovascular Health Study (N = 6,079) were asked to wear an accelerometer on the hip for 7 days. Multiple mixed-effects linear regression models were used to identify sociodemographic-, health-, and chronic condition-related correlates (independent variables) associated with PA and SB (dependent variables) among women with (n = 2,554) and without (n = 20,154) a history of cancer. All correlates were mutually adjusted for each other.

resultsIn unadjusted analyses, women with a history of cancer took fewer mean daily steps (4,572 (standard deviation 2557) vs 5,029 (2679) steps/day) and had lower mean moderate-to-vigorous PA (74.9 (45.0) vs. 81.6 (46.7) minutes/day) than cancer-free women. In adjusted analyses, for cancer and cancer-free women, age, diabetes, overweight, and obesity were inversely associated with all metrics of PA (average vector magnitude, time in moderate-to-vigorous PA, step volume, time at ≥40 steps/minutes, and peak 30-minute step cadence). In unadjusted analyses, mean SB was similar for those with and without cancer (529.7 (98.1) vs. 521.7 (101.2) minutes/day). In adjusted analyses, for cancer and cancer-free women, age, diabetes, cardiovascular disease, current smoking, overweight, and obesity were positive correlates of SB, while Black or Hispanic race/ethnicity, weekly/daily alcohol intake, and excellent/very good/good self-rated health were inverse correlates of SB.

conclusionSeveral sociodemographic, health, and chronic conditions were correlates of PA/SB for postmenopausal women with and without cancer. Future studies should examine longitudinal relationships to gain insight into potential determinants of PA/SB.

Indexed as

Cancer SurvivorsDiabetes MellitusNeoplasmsAccelerometryExerciseFemaleHumansObesityOverweightSedentary BehaviorWomen's Health

Identifiers

PMID38573893
PMCPMC10994363
OpenAlexW4393929833

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