Evidence map›Paper›PMID 27352990›Full record

ArticleBone2016

Evaluating the relationship between muscle and bone modeling response in older adults.

Lisa Reider, Thomas Beck, Dawn Alley, Ram Miller, Michelle Shardell, John Schumacher, Jay Magaziner, Peggy M Cawthon, Kamil E Barbour, Jane A Cauley and 2 more

Abstract read
In one paragraph

Article in Bone, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

5 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Biological basis of bone strength: anatomy, physiology and measurement.Journal of musculoskeletal & neuronal interactions · 2020
    Review
  4. Article
  5. 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 9 institutions in 1 country.

Lisa ReiderDepartment of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, United States. Electronic address: lsemani1@jhu.edu.
Thomas BeckBeck Radiological Innovations, Inc., United States.
Dawn AlleyCenter for Medicare and Medicaid Innovation, Centers for Medicare and Medicaid Services, Baltimore, MD, United States.
Ram MillerNovartis Institute for Biomedical Research, United States; Department of Epidemiology and Public Health, University of Maryland, School of Medicine, United States.
Michelle ShardellNational Institute on Aging, Longitudinal Study Section, United States.
John SchumacherDepartment of Sociology and Anthropology, University of Maryland Baltimore County, United States.
Jay MagazinerUniversity of Maryland, School of Medicine, United States.
Peggy M CawthonResearch Institute, California Pacific Medical Center, San Francisco, CA, United States; Department of Epidemiology and Biostatistics, University of California, San Francisco, CA, United States.
Kamil E BarbourNational Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control, United States.
Jane A CauleyDepartment of Epidemiology, Graduate School of Public Health, University of Pittsburgh, United States.
Tamara HarrisLaboratory of Epidemiology and Population Sciences Intramural Research Program, National Institute on Aging, United States.
Health ABC Study
University of Maryland, Baltimore · USCenters for Medicare and Medicaid Services · USInstitute on Aging · USJohns Hopkins University · USNational Center for Chronic Disease Prevention and Health Promotion · USNational Institute on Aging · USUniversity of California, San Francisco · USUniversity of Maryland, Baltimore County · USUniversity of Pittsburgh · US

Funding

University of Maryland Claude D. Pepper Older Americans Independence Center (UM-OAIC)P30AG028747 · NIA · UNIVERSITY OF MARYLAND BALTIMORE · PI ALICE S. RYAN · 2006 to 2026
$28.9M
Sequelae of Hip Fracture in Men: An Epidemiologic StudyR37AG009901 · NIA · UNIVERSITY OF MARYLAND BALTIMORE · PI MAGAZINER, JAY · 1992 to 2018
$11.3M
NIA NIH HHS P30 AG028747NIA NIH HHS R37 AG009901
6 · The paper itself

Abstract

Bone modeling, the process that continually adjusts bone strength in response to prevalent muscle-loading forces throughout an individual's lifespan, may play an important role in bone fragility with age. Femoral stress, an index of bone modeling response, can be estimated using measurements of DXA derived bone geometry and loading information incorporated into an engineering model. Assuming that individuals have adapted to habitual muscle loading forces, greater stresses indicate a diminished response and a weaker bone. The purpose of this paper was to evaluate the associations of lean mass and muscle strength with the femoral stress measure generated from the engineering model and to examine the extent to which lean mass and muscle strength account for variation in femoral stress among 2539 healthy older adults participating in the Health ABC study using linear regression. Mean femoral stress was higher in women (9.51, SD=1.85Mpa) than in men (8.02, SD=1.43Mpa). Percent lean mass explained more of the variation in femoral stress than did knee strength adjusted for body size (R(2)=0.187 vs. 0.055 in men; R(2)=0.237 vs. 0.095 in women). In models adjusted for potential confounders, for every percent increase in lean mass, mean femoral stress was 0.121Mpa lower (95% CI: -0.138, -0.104; p<0.001) in men and 0.139Mpa lower (95% CI: -0.158, -0.121; p<0.001) in women. The inverse association of femoral stress with lean mass and with knee strength did not differ by category of BMI. Results from this study provide insight into bone modeling differences as measured by femoral stress among older men and women and indicate that lean mass may capture elements of bone's response to load.

Indexed as

AgedBody Mass IndexBody SizeBone and BonesFemaleFemurHumansKneeMaleMusclesStress, MechanicalThinnessWeight-BearingBone modeling responseFemoral stressMuscle

Identifiers

PMID27352990
PMCPMC5494965
OpenAlexW2472037009

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.