Evidence map›Paper›PMID 39575586›Full record

SynthesisEuropean journal of endocrinology2024

Sociodemographic, lifestyle, and medical factors associated with calculated free testosterone concentrations in men: individual participant data meta-analyses.

Nick Narinx, Ross J Marriott, Kevin Murray, Robert J Adams, Christie M Ballantyne, Douglas C Bauer, Shalender Bhasin, Mary L Biggs, Peggy M Cawthon, David J Couper and 18 more

Abstract readMeta-Analysis
In one paragraph

Synthesis in European journal of endocrinology, 2024. 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
–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.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Review
  2. Observational
  3. Review
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

28 authors.

Nick NarinxLaboratory of Clinical and Experimental Endocrinology, KU Leuven, 3000 Leuven, Belgium.ORCID 0000-0002-7342-8724
Ross J MarriottSchool of Population and Global Health, University of Western Australia, Perth 6009, Australia.
Kevin MurraySchool of Population and Global Health, University of Western Australia, Perth 6009, Australia.ORCID 0000-0002-8856-6046
Robert J AdamsAdelaide Institute for Sleep Health, Flinders University, Bedford Park, South Australia 5042, Australia.
Christie M BallantyneInternal Medicine, Baylor College of Medicine, Houston, TX 77046, United States.
Douglas C BauerGeneral Internal Medicine, University of California, San Francisco 94115, United States.
Shalender BhasinBrigham and Women's Hospital, Harvard Medical School, Boston 02115, United States.ORCID 0000-0002-3982-6200
Mary L BiggsDepartment of Biostatistics, School of Public Health, University of Washington, Seattle, WA 98115, United States.
Peggy M CawthonSan Francisco Coordinating Center, California Pacific Medical Center Research Institute, San Francisco, CA 94158, United States.
David J CouperGillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC 27514, United States.ORCID 0000-0002-4313-9235
Adrian S DobsSchool of Medicine, Division of Endocrinology, Diabetes and Metabolism, Johns Hopkins University, Baltimore, MD 21287, United States.ORCID 0000-0003-1041-6061
Leon FlickerMedical School, University of Western Australia, Perth 6009, Australia.ORCID 0000-0002-3650-0475
Graeme J HankeyMedical School, University of Western Australia, Perth 6009, Australia.
Anke HannemannInstitute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, 17489 Greifswald, Germany.
Robin WilkeningSchool of Public Health and Preventive Medicine, Monash University, Melbourne 3004, Australia.
Sean A MartinAustralian Institute of Family Studies, Southbank 3006, Australia.
Alvin M MatsumotoDepartment of Medicine, Division of Gerontology & Geriatric Medicine, University of Washington School of Medicine, Seattle, WA 98104, United States.
Claes OhlssonSahlgrenska Osteoporosis Centre, Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, University of Gothenburg, 405 30 Goteborg, Sweden.ORCID 0000-0002-9633-2805
Terence W O'NeillCentre for Epidemiology Versus Arthritis, University of Manchester and NIHR Manchester Biomedical Research Centre, Manchester University NHS Foundation Trust, Manchester M13 9PT, United Kingdom.
Eric S OrwollOregon Health and Science University, Portland, OR 97239, United States.
Molly M ShoresSchool of Medicine, Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA 98102, United States.
Antje StevelingDepartment of Internal Medicine, University Medicine Greifswald, 17475 Greifswald, Germany.
Thomas G TravisonBrigham and Women's Hospital, Harvard Medical School, Boston 02115, United States.ORCID 0000-0002-1030-7175
Gary A WittertFreemasons Centre for Men's Health and Wellbeing, School of Medicine, University of Adelaide, Adelaide 5000, Australia.
Frederick C W WuDivision of Endocrinology, Diabetes & Gastroenterology, School of Medical Sciences, University of Manchester, Manchester M13 9NT, United Kingdom.
Leen AntonioLaboratory of Clinical and Experimental Endocrinology, KU Leuven, 3000 Leuven, Belgium.ORCID 0000-0002-1079-2860
Dirk VanderschuerenLaboratory of Clinical and Experimental Endocrinology, KU Leuven, 3000 Leuven, Belgium.
Bu B YeapMedical School, University of Western Australia, Perth 6009, Australia.

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
FRAMINGHAM HEART STUDY - YEAR 5 EXAM75N92019D00031 · NHLBI · BOSTON UNIVERSITY MEDICAL CAMPUS · 2019 to 2024
$29.8M
Oregon Clinical and Translational Research InstituteUL1TR000128 · NCATS · OREGON HEALTH & SCIENCE UNIVERSITY · PI ELLISON, DAVID H · 2012 to 2015
$28.7M
Exceptional Survival: Trajectories to Functional Aging (CHS All Stars)R01AG023629 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI NEWMAN, ANNE B. · 2004 to 2016
$9.5M
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
CARDIOVASCULAR HEALTH STUDY (CHS) - TASK AREA C, STUDY CLOSEOUT75N92021D00006 · NHLBI · UNIVERSITY OF WASHINGTON · PI PSATY, BRUCE · 2021 to 2024
$8.4M
CHS research resources for the cardiovascular health of older adultsU01HL130114 · NHLBI · UNIVERSITY OF WASHINGTON · PI BURKE, GREGORY L, KRONMAL, RICHARD A · 2016 to 2019
$6.6M
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
CHS Events Follow-up StudyU01HL080295 · NHLBI · UNIVERSITY OF WASHINGTON · PI PSATY, BRUCE M · 2005 to 2008
$4.6M
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
Australian Government's Medical Research Future FundFund for Academic StudiesGovernment of Western Australia's Future Health and Research Innovation FundKOORNCATS NIH HHS UL1 TR000128NCATS NIH HHS UL1 TR002369NHLBI NIH HHS 75N92019D00031NHLBI NIH HHS 75N92021D00006NHLBI NIH HHS HHSN268200800007CNHLBI NIH HHS HHSN268201200036CNHLBI NIH HHS HHSN268201800001CNHLBI NIH HHS N01 HC085079NHLBI NIH HHS N01 HC085080NHLBI NIH HHS N01 HC085081NHLBI NIH HHS N01 HC085082NHLBI NIH HHS N01 HC085083NHLBI NIH HHS N01 HC085086NHLBI NIH HHS U01 HL080295NHLBI NIH HHS U01 HL130114NIAMS NIH HHS U01 AR066160NIA NIH HHS R01 AG023629NIA 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 AG042168Research Foundation FlandersUniversity Hospitals of LeuvenUZ Leuven
6 · The paper itself

Abstract

objectiveSociodemographic, lifestyle, and medical variables influence total testosterone (T) and sex hormone-binding globulin (SHBG) concentrations. The relationship between these factors and "free" T remains unclear. We examined 21 sociodemographic, lifestyle, and medical predictors influencing calculated free T (cFT) in community-dwelling men across ages.

designThis is a cross-sectional analysis in 20 631 participants in the Androgens in Men Study.

methodsIndividual participant data (IPD) were provided by 9 cohorts. Total T was determined using mass spectrometry, SHBG using immunoassays, and cFT using the Vermeulen formula. Associations were analyzed using 2-stage random effects IPD meta-analyses.

resultsCohort median ages ranged from 40 to 76 years and median cFT concentrations from 174.3 to 422.8 pmol/L. In men aged 17-99 years, there was a linear inverse association of cFT with age (-57.2 pmol/L [95% confidence interval, -69.4, -44.9] per 1 SD increase in age). Calculated free T increased with increasing baseline body mass index (BMI) among men with BMI < 23.6 kg/m2, but decreased among men with BMI > 23.6 kg/m2 (-24.7 pmol/L [-29.1, -20.3] per 1 SD increase in the 25.4-29.6 kg/m2 BMI range). Calculated free T was lower in younger men, who were married or in a de facto relationship (-18.4 pmol/L [-27.6, -9.3]) and in men who formerly smoked (-5.7 pmol/L [-8.9, -2.6]), were in poor general health (-14.0 pmol/L [-20.1, -7.8]), and had diabetes (-19.6 pmol/L [-23.0, -16.3]), cardiovascular disease (-5.8 pmol/L [-8.3, -3.2]), or cancer (-19.2 pmol/L [-24.4, -14.1]).

conclusionsCalculated free T was most prominently associated with age and BMI. The linear, inverse association with age, nonlinear association with BMI, and presence of diabetes, cancer, and sociodemographic factors should be considered when interpreting cFT values.

Indexed as

Life StyleTestosteroneAdolescentAdultAgedAged, 80 and overAge FactorsBody Mass IndexCohort StudiesCross-Sectional StudiesHumansMaleMiddle AgedSex Hormone-Binding GlobulinSociodemographic FactorsSocioeconomic FactorsSex Hormone-Binding GlobulinTestosteroneagebody mass indexcalculated free testosteronemaleVermeulen formula

Identifiers

PMID39575586
PMCPMC12550126

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Registered trials

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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.