Are men at greater risk of lean mass deficits in rheumatoid arthritis?
Open accessAbstract
OBJECTIVE: We aimed to determine if there were sex differences in lean body mass (LBM) in patients with rheumatoid arthritis (RA) when compared with sex- and race-specific National Health and Nutrition Examination Survey (NHANES) reference data, and to investigate the impact of sex differences in risk factors for LBM deficits. METHODS: Dual x-ray absorptiometry measures of whole body LBM and appendicular LBM (arms and legs, appendicular lean mass [ALM]) were obtained on a total of 190 subjects from 2 independent cohorts (141 from San Francisco [SF], 49 from Philadelphia [PA]), expressed as indices adjusted for height (LBM index and ALM index, kg/m(2) ), and converted to sex- and race-specific Z scores relative to age and based on NHANES data. Sarcopenia was defined using 4 different sex-specific definitions. Multivariable linear and logistic regression analyses adjusted for disease activity, disease duration, physical activity, anti-cyclic citrullinated peptide seropositivity, fat mass index, and glucocorticoid use. RESULTS: While there were significant differences between the 2 cohorts, ALM index Z scores were significantly lower in men compared to women in both (SF: -1.43 versus -0.43, P < 0.0001; PA: -0.83 versus -0.06, P = 0.03). Observed sex differences were significant after adjustment in multivariable analyses within both cohorts. Odds of sarcopenia were 3 to 8 times greater in men in the SF cohort. Men in the PA cohort also had a higher, but nonsignificant, risk of sarcopenia. CONCLUSION: RA is associated with significant LBM deficits, with greater deficits observed in men. Future study may help elucidate the mechanisms driving greater deficits among men.
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Discrepancies were also found for the association of sex, social status and quality of life with SO development, with some articles detecting higher risk in males or females and in the presence of poor social status, urban area, married individuals, or white collar subgroup.
“Discrepancies were also found for the association of sex, social status and quality of life with SO development as some articles detected a higher risk in males [23,24] or females [25,26] and in the presence of poor social status [18e20,26e29], in people living in urban area [30], married individuals [20] or in white collar subgroup [31].”
From Identification of factors associated with sarcopenic obesity development: Literature review and expert panel voting (2024) · cites this paper as [23]
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- Authors
- Baker, J. F., Long, J., Ibrahim, S., Leonard, M. B., & Katz, P.
- Affiliations
- Philadelphia VA Medical Center (US)
- Children's Hospital of Philadelphia (US)
- University of California, San Francisco (US)
- Corresponding author
- Katz, Patricia
- Venue
- Arthritis Care & Research
- Publisher
- Wiley
- Published
- 2014-12-27
- Volume
- 67
- Issue
- 1
- Pages
- 112-119
- ISSN
- 0893-7524 (ISSN-L)
- 2151-464X
- 2151-4658
- PMC
- PMC4280305
- OpenAlex
- W1501117811
- Cited by
- 44
- References
- 42
- Citations by year
- 2026: 2 · 2025: 2 · 2024: 2 · 2023: 3 · 2022: 4 · 2021: 8 · 2020: 4 · 2019: 2 · 2018: 2 · 2017: 10 · 2016: 2 · 2015: 2 · 2014: 1
- FWCI
- 3.32
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Arthritis Care & Research (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Funders
- Veterans Affairs Career Development Award
- Topics
- Health Sciences › Medicine › Physiology › Nutrition and Health in Aging
- Health Sciences › Medicine › Rheumatology › Rheumatoid Arthritis Research and Therapies
- Health Sciences › Medicine › Physiology › Body Composition Measurement Techniques
- Keywords
- rheumatoid arthritis, lean body mass, sex differences, sarcopenia, appendicular lean mass, men, disease activity, glucocorticoid use
- MeSH terms
- Adult, Aged, Arthritis, Rheumatoid, Body Composition, Cross-Sectional Studies, Female, Humans, Male, Middle Aged, Nutrition Surveys, Pilot Projects, Risk Factors, Sex Characteristics, Cohort Studies, Absorptiometry, Photon, Sarcopenia
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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