Article in Journal of sports sciences, 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
–field-weighted citation impact
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.
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.
Megan Hetherington-RauthCalifornia Pacific Medical Center Research Institute, San Francisco, CA, USA.ORCID 0000-0003-1825-8010
Katey WebberCalifornia Pacific Medical Center Research Institute, San Francisco, CA, USA.
Lauren S RoeDepartment of Epidemiology, School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA.
Andrew R HoffmanDepartment of Medicine, Stanford University School of Medicine, Stanford, CA, USA.
Deborah KadoDepartment of Medicine, Stanford University School of Medicine, Stanford, CA, USA.
Lisa LangsetmoCenter for Care Delivery and Outcomes Research, VA Health Care System, Minneapolis, MN, USA.
Eric S OrwollOregon Health and Science University, Portland, OR, USA.
Peggy CawthonCalifornia Pacific Medical Center Research Institute, San Francisco, CA, USA.
Funding
Oregon Clinical and Translational Research Institute - The National COVID Cohort Collaborative (N3C)UL1TR002369 · NCATS · OREGON HEALTH & SCIENCE UNIVERSITY · PI Cynthia D Morris, Christopher G. Slatore · 2017 to 2026
$78.4M
Long term fracture risk and change in peripheral bone in the oldest old men: The MrOS studyR01AG066671 · NIA · CALIFORNIA PACIFIC MED CTR RES INSTITUTE · PI BOUXSEIN, MARY L, CAWTHON, PEGGY MANNEN · 2020 to 2024
$13.3M
Osteoporotic Fractures in Men (MrOS) - San Francisco Coordinating CenterU01AR066160 · NIAMS · CALIFORNIA PACIFIC MED CTR RES INSTITUTE · PI CUMMINGS, STEVEN RON · 2013 to 2017
$9.3M
Osteoporotic Fractures in Men (MrOS) - MinneapolisU01AG042145 · NIA · UNIVERSITY OF MINNESOTA · PI ENSRUD, KRISTINE · 2013 to 2019
$5.3M
Osteporotic Fractures in Men (MrOS)- Admin CenterU01AG027810 · NIA · OREGON HEALTH & SCIENCE UNIVERSITY · PI ORWOLL, ERIC S. · 2006 to 2017
$5.1M
Osteoporotic Fractures in Men (MrOS) - PortlandU01AG042124 · NIA · OREGON HEALTH & SCIENCE UNIVERSITY · PI ORWOLL, ERIC S. · 2013 to 2019
$3.0M
Osteoporatic Fractures in Men (MrOS)U01AG042168 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI KADO, DEBORAH · 2013 to 2017
$3.0M
Osteoporotic Fractures in Men (Mr. Os) Palo AltoU01AG042143 · NIA · STANFORD UNIVERSITY · PI STEFANICK, MARCIA L. · 2013 to 2017
$3.0M
Osteoporotic Fractures in Men (Mr.OS)U01AG042139 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI CAULEY, JANE ANN · 2013 to 2017
$2.9M
Osteoporotic Fractures in Men_MrOS Renewal_BirminghamU01AG042140 · NIA · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI SHIKANY, JAMES M · 2013 to 2019
To assess the independent and combined relationships among objectively measured sedentary time (ST), light intensity PA (LPA), and moderate-to-vigorous intensity PA (MVPA) with muscle mass and fat mass (FM) and how theoretical displacement of these inter-dependent behaviours relates to body composition in oldest-old men. A total of 1046 men participating in the year 14 visit of the prospective Osteoporotic Fractures in Men (MrOS) cohort study with complete data for accelerometry, dual x-ray absorptiometry, and deuterated creatine dilution (D3Cr) muscle mass were included in the analysis (84.0 ± 3.8 yrs.). Single, partition, and isotemporal substitution models were used to assess the interrelationships between PA intensities and ST with body composition measures, while controlling for relevant confounders. Replacing 30-min of ST with 30-min of MVPA was associated with lower FM (β =-0.17,
Indexed as
Absorptiometry, PhotonAccelerometryBody CompositionExerciseMuscle, SkeletalSedentary BehaviorAged, 80 and overCreatineHumansMaleProspective StudiesCreatineadiposityAgingisotemporalmuscle
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.
Replacing sedentary time for physical activity: Does intensity matter for body composition in oldest-old adults? · full record | OpenQuestion