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Association of metabolic score for insulin resistance with bone mineral content and bone metabolic markers among adolescents
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Jianxi LIU, Longkai SHI, Linlin CHEN, Yingli XU, Wenqing DING*
Chinese Journal of School Health | 2025, 46(10) : 1498 - 1502
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Chinese Journal of School Health | 2025, 46(10): 1498-1502
• Disease Control •
Association of metabolic score for insulin resistance with bone mineral content and bone metabolic markers among adolescents
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Jianxi LIU, Longkai SHI, Linlin CHEN, Yingli XU, Wenqing DING*
Affiliations
  • School of Public Health, Ningxia Medical University/Key Laboratory of Environmental Factors and Chronic Disease Control, Yinchuan 750004, Ningxia Hui Autonomous Region, China
Published: 2025-10-25 doi: 10.16835/j.cnki.1000-9817.2025299
Outline
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Objective

To investigate the relationship of metabolic score for insulin resistance (METS-IR) with bone mineral content (BMC) and bone metabolic markers levels among adolescents, so as to provide a scientific foundation for the early identification and prevention of bone-related diseases.

Methods

From 2017 to 2019 and 2023, a total of 1 414 adolescents aged 12-18 years from Yinchuan were selected using a method combining convenient sampling with stratified cluster random sampling. The data of basic information, body mass index, BMC, serum osteocalcin (OC), type Ⅰ collagen cross-linked C-terminal peptide (CTX) and calcium (Ca), METS-IR among adolescents were obtained by questionnaire survey, physical measurement and laboratory examination, and METS-IR was divided into four groups Q1-Q4 according to P25, P50 and P75. Logistic regression models combined with restricted cubic splines were employed to analyze the relationship between METS-IR and low BMC as well as low bone metabolic markers. The receiver operating characteristic (ROC) curve was used to evaluate METS-IR effectiveness in diagnosing low BMC.

Results

The levels of BMC, OC, CTX, Ca and METS-IR in the surveyed adolescents were (2.66±0.52)kg, (20.49±13.77)ng/mL, (2 460.89±1 818.96)pg/mL, (2.47±0.67)mmol/L, 30.63±7.58. After adjusting for gender, age and physical activity level, METS-IR in Q4 group had a reduced risk of low BMC and low CTX [OR (95%CI)=0.03(0.01-0.07), 0.45(0.32-0.65)] and an elevated risk of low OC [OR (95%CI)=1.85(1.28-2.67)], compared with the Q1 group (all P < 0.05). Gender-stratified analyses revealed similar trends for both males and females (all P < 0.05). Non-linear dose-response relationships were observed between METS-IR and low BMC (Ptotal trend < 0.01, Pnon-linearity=0.01), as well as low OC (Ptotal trend < 0.01, Pnon-linearity=0.01), while a linear relationship was detected with low CTX (Ptotal trend < 0.01, Pnon-linearity=0.72). ROC curves revealed that METS-IR had the best diagnostic performance for low BMC (AUC=0.85, 95%CI=0.82-0.88, P < 0.01).

Conclusions

Higher METS-IR score is linked to reduced risk of low BMC and CTX but increase risk of low OC among adolescents. These findings suggest METS-IR is a reliable indicator for assessing BMC and early predicting bone health risk among adolescents.

Insulin resistance  /  Bone mineral content  /  Regression analysis  /  Adolescent
刘建熹, 史龙凯, 陈琳琳, 许应丽, 丁文清. 青少年胰岛素抵抗与骨矿物质含量及骨代谢标志物的关系. 中国学校卫生, 2025 , 46 (10) : 1498 -1502 . DOI: 10.16835/j.cnki.1000-9817.2025299
Jianxi LIU, Longkai SHI, Linlin CHEN, Yingli XU, Wenqing DING. Association of metabolic score for insulin resistance with bone mineral content and bone metabolic markers among adolescents[J]. Chinese Journal of School Health, 2025 , 46 (10) : 1498 -1502 . DOI: 10.16835/j.cnki.1000-9817.2025299
Year 2025 volume 46 Issue 10
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doi: 10.16835/j.cnki.1000-9817.2025299
  • Receive Date:2025-06-23
  • Online Date:2026-11-06
  • Published:2025-10-25
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  • Received:2025-06-23
  • Revised:2025-08-08
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    School of Public Health, Ningxia Medical University/Key Laboratory of Environmental Factors and Chronic Disease Control, Yinchuan 750004, Ningxia Hui Autonomous Region, China
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表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)
属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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