Evidence map›Paper›PMID 41081094›Full record

ArticlePeerJ2025

Retrospective study: anthropometric and metabolic characteristics of patients with metabolic syndrome-a gender-specific analysis of clinical and correlation patterns.

Yingxin Li, Huanhua Wu, Yingtong Lu, Jingjie Shang, Yong Cheng, Xiaozheng Cao, Zhiqiang Tan, Qijun Cai, Hao Xu, Bin Guo

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Article in PeerJ, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Yingxin Li *Department of Nuclear Medicine and PET/CT-MRI Center, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, China.
Huanhua Wu *Central Laboratory, The Affiliated Shunde Hospital of Jinan University, Guangzhou, Guangdong, China.ORCID 0000-0002-2690-9234
Yingtong LuDepartment of Nuclear Medicine and PET/CT-MRI Center, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, China.ORCID 0009-0006-8600-5444
Jingjie ShangDepartment of Nuclear Medicine and PET/CT-MRI Center, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, China.
Yong ChengDepartment of Nuclear Medicine and PET/CT-MRI Center, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, China.
Xiaozheng CaoCentral Laboratory, The Affiliated Shunde Hospital of Jinan University, Guangzhou, Guangdong, China.
Zhiqiang TanDepartment of Nuclear Medicine and PET/CT-MRI Center, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, China.
Qijun CaiDepartment of Nuclear Medicine and PET/CT-MRI Center, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, China.
Hao XuDepartment of Nuclear Medicine and PET/CT-MRI Center, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, China.
Bin GuoDepartment of Nuclear Medicine and PET/CT-MRI Center, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, China.ORCID 0000-0001-8450-2478

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Metabolic syndrome (MetS) is a prevalent condition associated with increased cardiometabolic risk. Despite its clinical significance, the relationships between anthropometric indices and metabolic markers-particularly in a gender-specific context-remain inadequately explored. Methods: This retrospective study included 104 patients diagnosed with MetS between 2016 and 2022. Anthropometric indices, including body roundness index (BRI), body mass index (BMI), waist-to-height ratio (WHtR), and weight-to-waist index (WWI), were analyzed for their associations with metabolic markers reflecting insulin resistance and glucose metabolism: fasting blood glucose (FBG), fasting insulin (FIns), and homeostatic model assessment of insulin resistance (HOMA-IR). These markers represent key components of MetS, although other diagnostic elements such as dyslipidemia and hypertension were beyond the scope of this analysis. Gender-specific subgroup analyses were conducted for 57 female and 47 male patients. Results: Significant differences in anthropometric and metabolic characteristics were observed between genders. Male patients exhibited higher BMI (40.4 [37.5, 44.2] Discussion: This study highlights distinct gender-specific patterns in the relationships between anthropometric indices and metabolic markers in MetS patients. These findings underscore the importance of tailored strategies in managing MetS, particularly considering gender-based differences in clinical and metabolic profiles.

Indexed as

AnthropometryMetabolic SyndromeAdultAgedBiomarkersBlood GlucoseBody Mass IndexFemaleHumansInsulinInsulin ResistanceMaleMiddle AgedRetrospective StudiesSex FactorsWaist CircumferenceBiomarkersBlood GlucoseInsulinAnthropometric indicesGender differencesInsulin resistanceMetabolic syndromeObesity

Identifiers

PMID41081094
PMCPMC12515002

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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.