ArticleJournal of imaging informatics in medicine2026
Age, Body Mass Index, and Lumbar Trabecular Bone Score in Type 2 Diabetes: Gender-specific Associations.
Article in Journal of imaging informatics in medicine, 2026. 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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5 authors.
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Abstract
Trabecular bone score (TBS) provides information on bone microarchitecture beyond bone mineral density (BMD) and may be particularly relevant in type 2 diabetes mellitus (T2DM). This exploratory cross-sectional study examined associations of age and body mass index (BMI) with lumbar TBS (L1-L4) and their variation by gender in 240 adults with T2DM. Generalized additive models (GAMs) included overall smooths, gender-specific smooths, and tensor-product surfaces. Between-gender smooth contrasts were evaluated using joint simultaneous 95% confidence bands. Supplementary linear-model comparisons assessed fit and repeated five-fold cross-validated prediction errors. Age (edf = 2.767, p < 0.001) and BMI (edf = 2.166, p = 0.001) were associated with TBS in the overall GAM; these tests assessed association rather than departures from linearity. Males had higher TBS than females in the gender-specific smooth model (β = 0.0846, p < 0.001). Direct contrasts supported differences in centered age smooths at approximately 34.0-45.4 and 67.1-74.9 years, but did not identify differences in BMI smooths supported by the simultaneous bands. Gender-specific smooths improved fit over common smooths (p = 0.00133), whereas the additional improvement from tensor-product surfaces did not reach statistical significance (p = 0.08363). GAMs improved in-sample fit but did not consistently reduce cross-validated prediction errors relative to linear alternatives. These findings suggest gender-related variation in the age-TBS association, while evidence for differences in the BMI-TBS association remains insufficient. Residual confounding and the cross-sectional design warrant cautious interpretation and further validation.
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