Evidence map›Paper›PMID 41409179›Full record

ArticleDiabetes, metabolic syndrome and obesity : targets and therapy2025

Association of Relative Fat Mass and Conicity Index with the Risk of Hyperuricemia in Obese Women with PCOS: A Cross-Sectional Study.

Zhenfeng Hao, Qingmei Li, Liang Wu, Yu Jiang, Liulin Zhou

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Article in Diabetes, metabolic syndrome and obesity : targets and therapy, 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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5 · Who and what money

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5 authors.

Zhenfeng HaoDepartment of Gynecology and Obstetrics, Taixing People's Hospital, The Affiliated Hospital of Yangzhou University, Taixing, People's Republic of China.ORCID 0009-0009-3491-2378
Qingmei LiDepartment of Gynecology and Obstetrics, Taixing People's Hospital, The Affiliated Hospital of Yangzhou University, Taixing, People's Republic of China.
Liang WuDepartment of Laboratory Medicine, School of Medicine, Jiangsu University, Zhenjiang, People's Republic of China.
Yu JiangDepartment of Orthopedics, Taixing People's Hospital, The Affiliated Hospital of Yangzhou University, Taixing, People's Republic of China.
Liulin ZhouDepartment of Gynecology and Obstetrics, Taixing People's Hospital, The Affiliated Hospital of Yangzhou University, Taixing, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Hyperuricemia (HUA) is a prevalent metabolic disorder closely linked to both obesity and polycystic ovary syndrome (PCOS). Traditional obesity indices, such as body mass index (BMI), may not fully capture the metabolic risks associated with fat distribution. This study aimed to investigate the association between relative fat mass (RFM), the conicity index (C-index), and the risk of HUA in obese women with PCOS to improve clinical metabolic risk stratification. Methods: This cross-sectional study included 487 obese women aged 18-45 years with PCOS diagnosed by the revised Rotterdam criteria. Anthropometric indices (RFM, C-index) were calculated and categorized into quartiles. Logistic regression, adjusted for age, diabetes, and hypertension, assessed associations with HUA. Restricted cubic spline (RCS) analyses evaluated nonlinear relationships, and subgroup analyses tested robustness across age and metabolic subgroups. Results: HUA was significantly more prevalent among obese women with PCOS (71.6%) compared to the rate in the non-PCOS counterparts (50.4%; Conclusion: RFM is significantly associated with HUA in obese women with PCOS and outperforms the C-index as a predictor of metabolic dysfunction. These findings underscore the potential clinical utility of RFM as a practical tool for early identification and metabolic risk stratification in this high-risk population.

Indexed as

conicity indexhyperuricemiametabolic dysfunctionobesitypolycystic ovary syndromerelative fat mass

Identifiers

PMID41409179
PMCPMC12705319

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