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已发表论文
中国芜湖居民血小板参数与代谢综合征的关联：胰岛素抵抗的中介分析
Authors Zhou L, Wu H, Wu T, Wang X, Song E, Su F, Ezeokafor CA, Wu Y, Ma X, Wang T, Wen Y
Received 19 November 2025
Accepted for publication 28 January 2026
Published 12 February 2026 Volume 2026:19 575645
DOI https://doi.org/10.2147/DMSO.S575645
Checked for plagiarism Yes
Review by Single anonymous peer review
Peer reviewer comments 2
Editor who approved publication: Professor Jae Woong Sull
Lu Zhou,1,* Huan Wu,2,* Tao Wu,1 Xinru Wang,1 Errui Song,1 Fan Su,1 Catherine Adaeze Ezeokafor,1 Yue Wu,1 Xinyu Ma,1 Tong Wang,1 Yufeng Wen1,3
1School of Public Health, Wannan Medical College, Wuhu, Anhui Province, 241002, People’s Republic of China; 2School of Laboratory Medicine, Wannan Medical College, Wuhu, Anhui Province, 241002, People’s Republic of China; 3School of Public Health, Anhui Medical University, Hefei, Anhui Province, 230032, People’s Republic of China
*These authors contributed equally to this work
Correspondence: Yufeng Wen, School of Public Health, Wannan Medical College, 22 West Wenchang Road, Wuhu, Anhui Province, 241002, People’s Republic of China, Email wyf2015w@sina.com
Objective: To examine the associations between platelet parameters and metabolic syndrome (MetS) and to explore their relationships with insulin resistance (IR).
Patients and Methods: This cross-sectional study included approximately 570,000 adults who underwent health examinations at the Health Management Center of the First Affiliated Hospital of Wannan Medical College between 2017 and 2023. Demographic and behavioral data were collected using questionnaires, and relevant clinical measurements were obtained through physical examinations. Platelet parameters and metabolic indicators were measured using an automated analyzer. Restricted cubic spline (RCS) models and multivariable logistic regression analyses were used to assess the associations between platelet parameters and MetS. Bootstrap-based mediation analysis was applied to explore the statistical associations among platelet parameters, IR, and MetS.
Results: The prevalence of MetS was 19.5%. Platelet count (PLT), mean platelet volume (MPV), platelet distribution width (PDW), and plateletcrit (PCT) were all positively associated with MetS (all P < 0.001). After multivariable adjustment, PCT and PDW showed relatively stronger associations with MetS (PCT: Q4 vs Q1, aOR = 1.85, 95% CI: 1.81– 1.89; PDW: Q4 vs Q1, aOR = 1.73, 95% CI: 1.69– 1.76). Multivariable linear regression analysis showed that PDW was positively associated with IR assessed by the triglyceride–glucose index (TyG) (β = 0.150, 95% CI: 0.146– 0.155). Within the analytical models of this study, PDW, IR, and MetS exhibited statistically significant associations.
Conclusion: Elevated platelet parameters were positively associated with MetS, with particularly pronounced associations observed for PCT and PDW. PDW was significantly associated with IR, and IR was in turn closely associated with MetS.
Keywords: cross-sectional study, triglyceride-glucose index, biomarker, metabolic disorders, platelet activation
1School of Public Health, Wannan Medical College, Wuhu, Anhui Province, 241002, People’s Republic of China; 2School of Laboratory Medicine, Wannan Medical College, Wuhu, Anhui Province, 241002, People’s Republic of China; 3School of Public Health, Anhui Medical University, Hefei, Anhui Province, 230032, People’s Republic of China
*These authors contributed equally to this work
Correspondence: Yufeng Wen, School of Public Health, Wannan Medical College, 22 West Wenchang Road, Wuhu, Anhui Province, 241002, People’s Republic of China, Email wyf2015w@sina.com
Objective: To examine the associations between platelet parameters and metabolic syndrome (MetS) and to explore their relationships with insulin resistance (IR).
Patients and Methods: This cross-sectional study included approximately 570,000 adults who underwent health examinations at the Health Management Center of the First Affiliated Hospital of Wannan Medical College between 2017 and 2023. Demographic and behavioral data were collected using questionnaires, and relevant clinical measurements were obtained through physical examinations. Platelet parameters and metabolic indicators were measured using an automated analyzer. Restricted cubic spline (RCS) models and multivariable logistic regression analyses were used to assess the associations between platelet parameters and MetS. Bootstrap-based mediation analysis was applied to explore the statistical associations among platelet parameters, IR, and MetS.
Results: The prevalence of MetS was 19.5%. Platelet count (PLT), mean platelet volume (MPV), platelet distribution width (PDW), and plateletcrit (PCT) were all positively associated with MetS (all P < 0.001). After multivariable adjustment, PCT and PDW showed relatively stronger associations with MetS (PCT: Q4 vs Q1, aOR = 1.85, 95% CI: 1.81– 1.89; PDW: Q4 vs Q1, aOR = 1.73, 95% CI: 1.69– 1.76). Multivariable linear regression analysis showed that PDW was positively associated with IR assessed by the triglyceride–glucose index (TyG) (β = 0.150, 95% CI: 0.146– 0.155). Within the analytical models of this study, PDW, IR, and MetS exhibited statistically significant associations.
Conclusion: Elevated platelet parameters were positively associated with MetS, with particularly pronounced associations observed for PCT and PDW. PDW was significantly associated with IR, and IR was in turn closely associated with MetS.
Keywords: cross-sectional study, triglyceride-glucose index, biomarker, metabolic disorders, platelet activation