Evidence map›Paper›PMID 32556116›Full record

ArticleThe journals of gerontology. Series A, Biological sciences and medical sciences2020

Dietary Intake, D3Cr Muscle Mass, and Appendicular Lean Mass in a Cohort of Older Men.

Tara S Rogers-Soeder, Katherine E Peters, Nancy E Lane, James M Shikany, Suzanne Judd, Lisa Langsetmo, Andrew R Hoffman, William J Evans, Peggy M Cawthon

Open access · bronzeAbstract read
In one paragraph

Article in The journals of gerontology. Series A, Biological sciences and medical sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 21% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

  1. Pooled it
  2. Estimating Muscle Mass Using D3-Creatine Dilution: A Narrative Review of Clinical Implications and Comparison With Other Methods.The journals of gerontology. Series A, Biological sciences and medical sciences · 2024
    Review
  3. Review
  4. Review
  5. Sarcopenia and bone health: new acquisitions for a firm liaison.Therapeutic advances in musculoskeletal disease · 2022
    Review
  6. Article
  7. Article
  8. 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

9 authors at 6 institutions in 1 country.

Tara S Rogers-SoederCenter for Musculoskeletal Health and Department of Internal Medicine, University of California at Davis, Sacramento.
Katherine E PetersCalifornia Pacific Medical Center Research Institute, San Francisco.
Nancy E LaneCenter for Musculoskeletal Health and Department of Internal Medicine, University of California at Davis, Sacramento.
James M ShikanyDivision of Preventive Medicine, School of Medicine, University of Alabama at Birmingham.
Suzanne JuddSchool of Public Health, University of Alabama at Birmingham.
Lisa LangsetmoDepartment of Epidemiology and Community Health, University of Minnesota, Minneapolis.
Andrew R HoffmanDepartment of Medicine, Stanford University, California.
William J EvansDepartment of Nutritional Sciences and Toxicology, University of California, Berkeley.
Peggy M CawthonCalifornia Pacific Medical Center Research Institute, San Francisco.
California Pacific Medical Center · USUniversity of Alabama at Birmingham · USUniversity of California, Davis · USDuke University · USStanford University · USUniversity of Minnesota · US

Funding

Systems BiologyU19AG023122 · NIA · TRANSLATIONAL GENOMICS RESEARCH INST · PI FRED H GAGE · 2004 to 2026
$102.6M
Why is the prevalence of obesity so high in U.S. Southern States? Regional predictors of BMI and obesity treatment response.P30DK056336 · NIDDK · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI BARBARA A GOWER · 2000 to 2026
$31.9M
Oregon Clinical and Translational Research InstituteUL1TR000128 · NCATS · OREGON HEALTH & SCIENCE UNIVERSITY · PI ELLISON, DAVID H · 2012 to 2015
$28.7M
Study of Osteoporotic FracturesR01AG005407 · NIA · UNIVERSITY OF CALIFORNIA SAN FRANCISCO · PI CUMMINGS, STEVEN RON, YAFFE, KRISTINE · 1986 to 2016
$23.2M
University of Alabama at Birmingham's Diabetes Research CenterP30DK079626 · NIDDK · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI Kirk Michael Habegger · 2013 to 2026
$19.5M
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
NCATS NIH HHS UL1 TR000128NIAMS NIH HHS R01 AR065268NIAMS NIH HHS U01 AR066160NIA NIH HHS R01 AG005407NIA NIH HHS U01 AG027810NIA NIH HHS U01 AG042124NIA NIH HHS U01 AG042139NIA NIH HHS U01 AG042140NIA NIH HHS U01 AG042143NIA NIH HHS U01 AG042145NIA NIH HHS U01 AG042168NIA NIH HHS U19 AG023122NIDDK NIH HHS P30 DK056336NIDDK NIH HHS P30 DK079626
6 · The paper itself

Abstract

backgroundWe examined cross-sectional associations between dietary patterns, macronutrient intake, and measures of muscle mass and lean mass in older men.

methodsParticipants in the Osteoporotic Fractures in Men (MrOS) cohort (n = 903; mean ± SD age 84.2 ± 4 years) completed brief Block food frequency questionnaires (May 2014-May 2016); factor analysis was used to derive dietary patterns. The D3-creatine (D3Cr) dilution method was used to measure muscle mass; dual-energy x-ray absorptiometry (DXA) was used to measure appendicular lean mass (ALM). Generalized linear models were used to report adjusted means of outcomes by dietary pattern. Multiple linear regression models were used to determine associations between macronutrients and D3Cr muscle mass and DXA ALM. Multivariable models were adjusted for age, race, clinic site, education, depression, total energy intake, height, and percent body fat.

resultsGreater adherence to a Western dietary pattern (high factor loadings for red meat, fried foods, and high-fat dairy) was associated with higher D3Cr muscle mass (p-trend = .026). Adherence to the Healthy dietary pattern (high factor loadings for fruit, vegetables, whole grains, and lean meats) was not associated with D3Cr muscle mass or DXA ALM. Total protein (β = 0.09, 95% CI = 0.03, 0.14) and nondairy animal protein (β = 0.16, 95% CI = 0.10, 0.21) were positively associated with D3Cr muscle mass. Nondairy animal protein (β = 0.06, 95% CI = 0.002, 0.11) was positively associated with DXA ALM. Associations with other macronutrients were inconsistent.

conclusionsNondairy animal protein intake (within a Western dietary pattern and alone) was positively associated with D3Cr muscle mass in older men.

Indexed as

DietAgedAged, 80 and overAge FactorsBody CompositionBody Mass IndexCohort StudiesCreatineCross-Sectional StudiesDietary ProteinsHumansLinear ModelsMaleNutrientsOsteoporotic FracturesSarcopeniaCreatineDietary ProteinsNutrientsEpidemiologyNutritionSarcopenia

Identifiers

PMID32556116
PMCPMC7302171
OpenAlexW2955238840

What OpenQuestion holds

Textmetadata
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.