Evidence map›Paper›PMID 41385530›Full record

ArticlePloS one2025

Unveiling the wealth-bone connection: How socioeconomic status influences trabecular bone health.

Yuan Zhang, Tingxiao Zhao, Yanlei Li, Kai Chen, Qice Sun

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Yuan ZhangDepartment of Rheumatology, The Second Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, China.
Tingxiao ZhaoCenter for Plastic and Reconstructive Surgery, Department of Orthopedics, Zhejiang Provincial People's Hospital (Affiliated People's Hospital, Hangzhou Medical College), Hangzhou, Zhejiang, China.
Yanlei LiEmergency and Critical Care Center, Department of Emergency, Zhejiang Provincial People's Hospital (Affiliated People's Hospital, Hangzhou Medical College), Hangzhou, Zhejiang, China.
Kai ChenDepartment of Rheumatology, The Second Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, China.
Qice SunDepartment of Rheumatology, The Second Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, China.ORCID https://orcid.org/0009-0005-0244-2739

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCurrently, the relationship between socioeconomic status (SES) and trabecular bone score (TBS) remains unclear. This study uses existing data from the National Health and Nutrition Examination Survey (NHANES) to test the hypothesis that SES, measured by the poverty income ratio (PIR), is associated with TBS among adults in the United States of America.

methodsThis study analyzed the relationship between SES and TBS in 7,832 adults using data from the 2005-2008 NHANES. The TBS data were obtained from pre-existing lumbar spine DXA scans collected in the NHANES database. The study employed a multivariable linear regression model, adjusting for various confounding factors, to examine the association between the PIR and TBS. Additionally, demographic characteristics were described, stratified analyses, single factor analysis, smooth curve fitting, and interaction analysis were conducted.

resultsResults showed that PIR was positively correlated with TBS (β = 0.0019, 95% CI 0.0002-0.0035, P < 0.05), and high-income individuals had a TBS 0.018 higher than low-income individuals (95% CI 0.0106-0.0254, P < 0.001). Smooth curve fitting analysis revealed a linear relationship between PIR and TBS. Stratified analysis showed that this positive correlation was particularly evident among adults aged 50 and older, observed specifically in Mexican Americans and individuals of European and African ancestry.

conclusionsOur research shows that there is a significant positive correlation between adult SES and TBS. Higher household income levels correspond to better TBS levels, which can help prevent osteoporosis and fractures. When developing strategies for the prevention and treatment of osteoporosis, healthcare professionals and policymakers should consider the impact of socioeconomic inequalities.

Indexed as

Bone DensityCancellous BoneSocial ClassAbsorptiometry, PhotonAdultAgedFemaleHumansIncomeMaleMiddle AgedNutrition SurveysPovertyUnited States

Identifiers

PMID41385530
PMCPMC12700419

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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.