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Association between per- and polyfluoroalkyl substances exposure and the metabolic score for insulin resistance
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Jin-zhao LI1, Jia-jia CHEN1, Zhen-yuan BAI1, Feng-yu YANG1, Zi-hao YANG1, Jing-yuan XIONG1, 2
Modern Preventive Medicine | 2026, 53(9) : 1590 - 1596
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Modern Preventive Medicine | 2026, 53(9): 1590-1596
• Environmental and Occupational Health •
Association between per- and polyfluoroalkyl substances exposure and the metabolic score for insulin resistance
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Jin-zhao LI1, Jia-jia CHEN1, Zhen-yuan BAI1, Feng-yu YANG1, Zi-hao YANG1, Jing-yuan XIONG1, 2
Affiliations
  • West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan 610041, China
Published: 2026-05-10 doi: 10.20043/j.cnki.MPM.202512537
Outline
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Objective

To investigate the associations between single and mixed exposure to per- and polyfluoroalkyl substances (PFAS) and the metabolic score for insulin resistance (METS-IR), and to explore the modifying effects of sex, age, and body mass index (BMI).

Methods

Data on serum concentrations of perfluorooctanoic acid (PFOA), perfluorooctane sulfonic acid (PFOS), perfluorohexane sulfonic acid (PFHxS), perfluorononanoic acid (PFNA), perfluorodecanoic acid (PFDA), and METS-IR were obtained from 2 345 participants aged 20-80 years in the National Health and Nutrition Examination Survey (NHANES) 2013—2018. We employed weighted linear regression and restricted cubic splines to examine linear and nonlinear associations of single PFAS exposure with METS-IR. The joint effects and key driver components of PFAS mixtures were assessed using weighted quantile sum regression, quantile g-computation, and Bayesian kernel machine regression. Subgroup analyses were conducted to assess potential effect modification by sex, age, and BMI.

Results

All five PFAS were inversely associated with METS-IR, with PFHxS exhibiting a nonlinear relationship with METS-IR (qnonlinear=0.021). A higher mixed PFAS exposure index was inversely associated with METS-IR (β^=-0.329, 95% CI: -0.583~-0.08, P=0.001), with PFDA being the primary driver (w=0.625). The mixture effect was significant in males, the elderly, and individuals with obesity (all q<0.05).

Conclusions

PFAS exposure is inversely associated with METS-IR, with PFDA being the key component driving the joint effect. Future prospective cohort studies are needed to validate these findings and elucidate the underlying mechanisms.

Endocrine disrupting chemicals  /  Per- and polyfluoroalkyl substances  /  METS-IR  /  Bayesian kernel machine regression  /  NHANES
李金钊, 陈佳佳, 白镇源, 杨凤羽, 杨子豪, 熊静远. 全氟和多氟烷基物质暴露与胰岛素抵抗代谢评分的关联. 现代预防医学, 2026 , 53 (9) : 1590 -1596 . DOI: 10.20043/j.cnki.MPM.202512537
Jin-zhao LI, Jia-jia CHEN, Zhen-yuan BAI, Feng-yu YANG, Zi-hao YANG, Jing-yuan XIONG. Association between per- and polyfluoroalkyl substances exposure and the metabolic score for insulin resistance[J]. Modern Preventive Medicine, 2026 , 53 (9) : 1590 -1596 . DOI: 10.20043/j.cnki.MPM.202512537
Year 2026 volume 53 Issue 9
22
11
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Article Info
doi: 10.20043/j.cnki.MPM.202512537
  • Receive Date:2025-12-28
  • Online Date:2026-11-02
  • Published:2026-05-10
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  • Received:2025-12-28
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    West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan 610041, 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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