Evidence map›Paper›PMID 40765775›Full record

ArticleIranian journal of public health2025

The Prevalence and Predictive Risk Factors of Metabolic Syndrome Based on Health-Related Fitness Components in Omani Adolescents with Obesity.

Alghafri Yasir Salim, Fariba Hossein Abadi, Nurul Fadhilah Abdullah, Al Kitani Mahfoodha, Norhazira Abdul Rahim

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Article in Iranian journal of public health, 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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1 · What the graph read from it

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2 · The registry

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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

5 authors.

Alghafri Yasir SalimDepartment of Health Science, Faculty of Sports Science and Coaching, Sultan Idris Education University (UPSI), Tanjong Malim, Perak, Malaysia.
Fariba Hossein AbadiDepartment of Health Science, Faculty of Sports Science and Coaching, Sultan Idris Education University (UPSI), Tanjong Malim, Perak, Malaysia.
Nurul Fadhilah AbdullahDepartment of Health Science, Faculty of Sports Science and Coaching, Sultan Idris Education University (UPSI), Tanjong Malim, Perak, Malaysia.
Al Kitani MahfoodhaDepartment of Physical Education and Sport Sciences, College of Education, Sultan Qaboos University (SQU), Muscat, Sultanate of Oman.
Norhazira Abdul RahimDepartment of Health Science, Faculty of Sports Science and Coaching, Sultan Idris Education University (UPSI), Tanjong Malim, Perak, Malaysia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Significant linear trends indicate that rising adolescent obesity rates will increase the prevalence of metabolic syndrome (MetS) and associated health risks. We aimed to initially determine the prevalence of MetS among adolescents (aged 13-16 yr) with obesity in the South Al Batinah governorate in Oman (n=3404) based on data collected in 2024. Then to predict the risk factors of MetS criteria based on health-related fitness (HRF) components to identify the most significant risk factors among them (n= 512, with BMIile% ≥95%). Methods: A cross-sectional study was performed to determine the MetS prevalence. MetS criteria and HRF components were measured to examine key risk factors. Then, the predictive value of HRF variables for MetS incidence was assessed using multiple regression analysis. Results: The descriptive results from screening adolescents with obesity indicated that 10.7% of them exhibited MetS. A notable correlation between fast blood glucose (FBG) and cardiorespiratory fitness; CRF (r=0.28, Conclusion: Significant correlation between HRF level and MetS criteria revealed that field-based tests HRF components, can be used to recognize MetS criteria among adolescents with obesity.

Indexed as

AdolescentBody mass indexCardiovascular fitnessHealth-related fitnessMetabolic syndromeMuscle strengthOman

Identifiers

PMID40765775
PMCPMC12319441

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