ArticleMedicine2025
Positive association between the triglyceride-glucose index and lumbar bone mineral density in US postmenopausal women: A cross-sectional study from NHANES 2005 to 2018.
Article in Medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The relationship between insulin resistance (IR) and bone density is quite complex. The triglyceride glucose (TyG) index, which combines the assessment of glycolipid metabolism, can serve as a noninvasive alternative method for evaluating IR and is easy to promote. Currently, there is relatively little research on the correlation between the TyG index and bone density in postmenopausal women. This study explored the relationship between the TyG index and lumbar spine bone mineral density (LBMD) in elderly postmenopausal women in the United States through the National Health, and Nutrition Examination Survey (NHANES) database data. Using the NHANES database data from 2005 to 2018, the population was divided into 4 groups based on TyG data (<5.447, 5.447-5.879, 5.879-6.325, >6.325), and the differences among the groups were analyzed. Multiple linear regression analysis was used to examine the relationship between the TyG index and LBMD, and the beta (β) values and corresponding confidence intervals were calculated. Three models were constructed by adjusting for different variables. Additionally, curve fitting analysis was used to explore the nonlinear relationship between the 2 variables. Subgroup analysis was conducted to study the relationship between the 2 variables in different populations. The study included a total of 1880 postmenopausal women participants aged 50 years or older. The highest quartile of the TyG index had a greater proportion of Mexican Americans, lower levels of education, lower family income-poverty ratios, higher body mass indices, higher total cholesterol levels, and lower levels of 25-hydroxy vitamin D. The relationships between the TyG index and LBMD were significant in 3 models and were positively correlated. In sensitivity analysis, the Q4 group has an LBMD 0.0235 g/cm2 higher than the Q1 group. According to the subgroup analysis, this positive correlation continued to exist in the non-Hispanic Black population and also in the population with a high school education or below. The TyG index is positively correlated with LBMD in the population of elderly postmenopausal women, as shown by multiple linear regression, and a positive correlation also exists between the 2 as indicated by smoothing curve fitting. Further causal analysis requires investigation through cohort studies is needed.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.