Evidence mapPaperPMID 39773699Full record

ArticleBMC musculoskeletal disorders2025

Correlation between low testosterone levels and the risk of osteoarthritis: a cross-sectional analysis of NHANES data (2011-2016).

Ning Ma, Fang Gao

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Article in BMC musculoskeletal disorders, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

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10citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. mSystems · 2025
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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Ning MaDepartment of Orthopedic Trauma, Norinco General Hospital, Xi'an, Shaanxi Province, China.
Fang GaoDepartment of Orthopedic Trauma, Norinco General Hospital, Xi'an, Shaanxi Province, China. csbg521@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOsteoarthritis (OA) is a common degenerative joint disease that significantly impacts the quality of life, especially among older adults. Testosterone, a critical hormone for musculoskeletal health, has been suggested to influence OA pathogenesis. However, the relationship between low testosterone levels and OA risk remains underexplored in large, representative populations. This study aimed to investigate the association between low testosterone levels and OA risk using data from the National Health and Nutrition Examination Survey (NHANES, 2011-2016).

methodsThis cross-sectional analysis included 4,548 participants from NHANES, a nationally representative U.S. DATASET: Testosterone levels were categorized as low or normal, with low testosterone defined as < 300 ng/dL for men and population-based cutoffs for women. The presence of OA was determined through self-reported physician diagnosis. Multivariable logistic regression models were used to examine the association between testosterone levels and OA risk, adjusting for demographic, socioeconomic, lifestyle, and clinical factors. Restricted cubic spline (RCS) analysis was conducted to evaluate non-linear relationships. Subgroup analyses were performed to assess consistency across key demographic and clinical strata.

resultsAmong the 4,548 participants, 812 (17.9%) were diagnosed with OA. Participants with OA were older, more likely to be female, and exhibited higher rates of obesity and hyperlipidemia. In fully adjusted models, low testosterone levels were significantly associated with increased OA risk (OR, 1.22; 95% CI, 1.02-1.46; P = 0.028). RCS analysis indicated a non-linear relationship, with a steep increase in OA risk at lower testosterone levels, suggesting a threshold effect. Subgroup analyses demonstrated consistent associations across demographic and clinical groups without significant interactions.

conclusionLow testosterone levels are independently associated with an increased risk of OA in the U.S. POPULATION: These findings underscore the potential role of hormonal health in OA pathogenesis and highlight the need for longitudinal studies to clarify causal pathways. The observed non-linear relationship suggests that maintaining optimal testosterone levels may be important for joint health, and testosterone replacement therapy could be explored as a preventative strategy for individuals with testosterone deficiency.

Indexed as

Nutrition SurveysOsteoarthritisTestosteroneAdultAgedCross-Sectional StudiesFemaleHumansMaleMiddle AgedRisk FactorsUnited StatesTestosteroneCross-sectional analysisHormonal healthJoint diseaseNHANESOsteoarthritisTestosteroneTestosterone replacement therapy

Identifiers

PMID39773699
PMCPMC11706034

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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 Socratic graph.