Evidence map›Paper›PMID 41382204›Full record

ArticleDiabetology & metabolic syndrome2025

Sex differences in metabolic syndrome among U.S. adolescents, NHANES 1999-2020.

Danwei Zhang, Xiaoyan Huang, Zihan Chen, Yinan Liu

Abstract read
In one paragraph

Article in Diabetology & metabolic syndrome, 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

4 authors.

Danwei Zhang *Department of Cardiac Surgery, Fujian Children's Hospital (Fujian Branch of Shanghai Children's Medical Center), College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, No.966 Hengyu Road, Jinan District, Fuzhou, 350014, Fujian, China. danw_zhang@163.com.
Xiaoyan Huang *Department of Endocrinology, Quanzhou First Hospital, Fujian Medical University, Fujian, 362000, Quanzhou, China.
Zihan ChenDepartment of Cardiac Surgery, Fujian Children's Hospital (Fujian Branch of Shanghai Children's Medical Center), College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, No.966 Hengyu Road, Jinan District, Fuzhou, 350014, Fujian, China.
Yinan LiuDepartment of Cardiac Surgery, Fujian Children's Hospital (Fujian Branch of Shanghai Children's Medical Center), College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, No.966 Hengyu Road, Jinan District, Fuzhou, 350014, Fujian, China.

Funding

Fujian provincial health technology project 2023QNA065Fujian Provincial Natural Science Foundation of China 2024J011123Joint Funds for the innovation of science and Technology, Fujian province 2024Y9545Science and Technology Innovation start-up Fund of Fujian Children's Hospital YCXY202202
6 · The paper itself

Abstract

backgroundMetabolic syndrome (MS) poses a growing threat to adolescent health, yet its sex-specific patterns remain inadequately characterized. This study aimed to investigate sex differences in MS prevalence, risk factor clustering, and metabolic phenotypes among U.S. adolescents.

methodsWe analyzed cross-sectional data from 6,989 adolescents aged 12-19 years, representing 30.97 million U.S. adolescents, from the National Health and Nutrition Examination Survey (1999-2020). MS was defined based on abdominal obesity, elevated blood pressure, hyperglycemia, and dyslipidemia, using weighted analyses to account for complex survey design.

resultsThe overall MS prevalence was 5.1%, with a significantly higher prevalence in males than in females (6.1% vs. 4.1%, P = 0.017). Critically, no significant temporal trends in MS prevalence were observed over the 20-year period for either sex. Males accumulated more metabolic risk factors than females, showing higher rates of elevated BP (5.9% vs. 0.9%), fasting glucose (22.7% vs. 10.4%), and triglycerides (8.8% vs. 6.4%), whereas, females had higher prevalences of abdominal obesity (25.9% vs. 12.6%) and low HDL-C (22.8% vs. 18.8%). Moreover, metabolically unhealthy obesity was more common in males (13.7% vs. 10.0%). Subgroup analyses showed significant sex disparities persisted among ages 12-15, obese, non-Hispanic White, and high-income subgroups. Sensitivity analyses using alternative definitions, including waist-to-height ratio for abdominal obesity, robustly confirmed the male predominance in MS prevalence.

conclusionMale U.S. adolescents exhibited a higher MS prevalence and a more unfavorable aggregation of metabolic risk factors than females. The stability of MS prevalence over the two-decade period highlighted the need for sex-specific and developmentally targeted interventions, especially within identified high-disparity subgroups.

Indexed as

AdolescentsMetabolic phenotype of obesityMetabolic syndrome (MS)National health and nutrition examination survey (NHANES)Sex differences

Identifiers

PMID41382204
PMCPMC12801445

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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.