Article in Journal of aging and health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 35% 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
3 citing papers in PubMed, 3 citations in OpenAlex.
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
11 authors at 2 institutions in 1 country.
Hannah L AllenDepartment of Epidemiology, Graduate School of Public Health, 6614University of Pittsburgh, Pittsburgh, PA, USA.ORCID 0000-0002-8900-7537
Theresa GmelinDepartment of Epidemiology, Graduate School of Public Health, 6614University of Pittsburgh, Pittsburgh, PA, USA.
Kyle D MooredDepartment of Epidemiology, Graduate School of Public Health, 6614University of Pittsburgh, Pittsburgh, PA, USA.
Robert M BoudreauDepartment of Epidemiology, Graduate School of Public Health, 6614University of Pittsburgh, Pittsburgh, PA, USA.
Stephen F SmagulaDepartment of Psychiatry, School of Medicine, 6614University of Pittsburgh, Pittsburgh, PA, USA.ORCID 0000-0002-5881-4803
Rebecca W CohenDepartment of Epidemiology, Graduate School of Public Health, 6614University of Pittsburgh, Pittsburgh, PA, USA.
Rain KatzDepartment of Epidemiology, Graduate School of Public Health, 6614University of Pittsburgh, Pittsburgh, PA, USA.
Katie Stone204799California Pacific Medical Center Research Institute, San Francisco, CA, USA.
Jane A CauleyDepartment of Epidemiology, Graduate School of Public Health, 6614University of Pittsburgh, Pittsburgh, PA, USA.
Nancy W GlynnDepartment of Epidemiology, Graduate School of Public Health, 6614University of Pittsburgh, Pittsburgh, PA, USA.ORCID 0000-0003-2265-0162
Osteoporotic Fractures in Men Study (MrOS) Research Group
University of Pittsburgh · USUniversity of California, San Francisco · US
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
Oregon Clinical and Translational Research InstituteUL1TR000128 · NCATS · OREGON HEALTH & SCIENCE UNIVERSITY · PI ELLISON, DAVID H · 2012 to 2015
$28.7M
VARIABILITY, STABILITY & SMOOTHNESS OF WALKINGP30AG024827 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI JENNIFER S BRACH · 2004 to 2026
$28.6M
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
TRAINING IN THE EPIDEMIOLOGY OF AGINGT32AG000181 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI STROTMEYER, ELSA S. · 1989 to 2025
$6.2M
Cardiovascular Epidemiology Training ProgramT32HL083825 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI AKIRA SEKIKAWA · 2008 to 2026
$6.1M
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
objectiveExamine the association between personality measures and perceived mental fatigability.
methodsWe performed a cross-sectional analysis in
resultsOne standard deviation lower conscientiousness (β=-0.91, DISCUSSION: Lower conscientiousness, optimism, and higher goal reengagement were linked with more severe perceived mental fatigability in older men. Personality traits may potentially contribute to early risk assessment for fatigability in later life. Future work should be longitudinal in nature and include personality assessments to confirm the temporality of the relationships observed.
Indexed as
FatiguePersonalityAgedAged, 80 and overCross-Sectional StudiesHealth StatusHumansMaleOptimismconscientiousnessfatiguegoal adjustmentoptimism
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.
Relationship Between Personality Measures and Perceived Mental Fatigability. · full record | OpenQuestion