Evidence map›Paper›PMID 38796579›Full record

ArticleArchives of osteoporosis2024

Association between surrogate marker of insulin resistance and bone mineral density in US adults without diabetes.

Cong Tian, Jinmin Liu, Ming Ma, Shenghong Wang, Yuji Zhang, Zhiwei Feng, Bo Peng, Dejian Xiang, Bo Wang, Bin Geng

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In one paragraph

Article in Archives of osteoporosis, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  3. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Cong Tian *Department of Orthopaedics, Lanzhou University Second Hospital, #82 Cuiyingmen, Lanzhou, 730000, Gansu, China.
Jinmin Liu *Department of Orthopaedics, Lanzhou University Second Hospital, #82 Cuiyingmen, Lanzhou, 730000, Gansu, China.
Ming Ma *Department of Orthopaedics, Lanzhou University Second Hospital, #82 Cuiyingmen, Lanzhou, 730000, Gansu, China.
Shenghong WangDepartment of Orthopaedics, Lanzhou University Second Hospital, #82 Cuiyingmen, Lanzhou, 730000, Gansu, China.
Yuji ZhangDepartment of Orthopaedics, Lanzhou University Second Hospital, #82 Cuiyingmen, Lanzhou, 730000, Gansu, China.
Zhiwei FengDepartment of Orthopaedics, Lanzhou University Second Hospital, #82 Cuiyingmen, Lanzhou, 730000, Gansu, China.
Bo PengDepartment of Orthopaedics, Lanzhou University Second Hospital, #82 Cuiyingmen, Lanzhou, 730000, Gansu, China.
Dejian XiangDepartment of Orthopaedics, Lanzhou University Second Hospital, #82 Cuiyingmen, Lanzhou, 730000, Gansu, China.
Bo WangDepartment of Orthopaedics, Lanzhou University Second Hospital, #82 Cuiyingmen, Lanzhou, 730000, Gansu, China.
Bin GengDepartment of Orthopaedics, Lanzhou University Second Hospital, #82 Cuiyingmen, Lanzhou, 730000, Gansu, China. cxxxf@foxmail.com.

Funding

Cuiying Scientific and Technological Innovation Program of Lanzhou University Second Hospital CY2021-MS-A07Natural Science Foundation of Gansu Province for Distinguished Young Scholars 22JR5RA943Science and Technology Department of Gansu Province 23JRRA1500The Education and Teaching Reform Research Project of Lanzhou University Second Hospital DELC-202205The National Natural Science Foundation of China 81960403
6 · The paper itself

Abstract

This study examines the relationship between TyG-BMI, an indicator of insulin resistance, and bone mineral density in US adults without diabetes, revealing a positive association. The findings suggest that higher TyG-BMI levels may be linked to a lower risk of osteoporosis, providing a basis for future research in this area.

objectivePatients with osteoporosis are often diagnosed with type 2 diabetes or prediabetes. Insulin resistance is a prediabetic state, and triglyceride glucose-body mass index (TyG-BMI) has been recognized as a potential predictor of it, valuable in assessing prediabetes, atherosclerosis, and other diseases. However, the validity of TyG-BMI in osteoporosis studies remains inadequate. PURPOSE: The purpose of this study was to evaluate the relationship between TyG-BMI and BMD as well as the effect of TyG-BMI on the odds of developing osteoporosis in US adults without diabetes.

methodsNational Health and Nutrition Examination Survey data were obtained. The relationship between TyG-BMI and BMD was evaluated via multivariate linear regression models. Smoothed curve fitting and threshold effect analysis explored potential non-linear relationships, and age, gender, and race subgroup analyses were performed. In addition, multivariate logistic regression models were employed to analyze its potential role in the development of osteoporosis.

resultsIn a study of 6501 participants, we observed a significant positive correlation between the TyG-BMI index and BMD, even after adjusting for covariates and categorizing TyG-BMI. The study identified specific TyG-BMI folding points-112.476 for the total femur BMD, 100.66 for the femoral neck BMD, 107.291 for the intertrochanter BMD, and 116.58 for the trochanter BMD-indicating shifts in the relationship's strength at these thresholds. While the association's strength slightly decreased after the folding points, it remained significant. Subgroup analyses further confirmed the positive TyG-BMI and BMD correlation. Multivariate linear regression analyses indicated a lower osteoporosis risk in participants with higher TyG-BMI levels, particularly in menopausal women over 40 and men over 60.

conclusionThis study suggests a positive correlation between BMD and TyG-BMI in US adults without diabetes. Individuals with higher levels of TyG-BMI may have a lower risk of osteoporosis.

Indexed as

BiomarkersBody Mass IndexBone DensityInsulin ResistanceOsteoporosisAdultAgedBlood GlucoseFemaleHumansMaleMiddle AgedNutrition SurveysTriglyceridesUnited StatesBiomarkersBlood GlucoseTriglyceridesBone mineral densityCross-sectional studiesInsulin resistanceNational Health and Nutrition Examination SurveyOsteoporosisTyG-BMI index

Identifiers

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.