Raudeniece Jelena, Justamente Ilze, Ozolina-Moll Liga, Sobolevs Artjoms, Zolovs Maksims, Dela Flemming, Reihmane Dace
Department of Human and Animal Physiology, Faculty of Biology, University of Latvia, Riga, Latvia.
Department of Human Physiology and Biochemistry, Riga Stradiņš University, Riga, Latvia.
Diabetes Metab Syndr Obes. 2024 Dec 7;17:4675-4687. doi: 10.2147/DMSO.S487309. eCollection 2024.
Metabolic syndrome (MetS) has become a condition not rarely diagnosed in children and adolescents, leading to changes in physical and mental health. Simple and cost-effective screening methods applied in schools are needed to take preventive measures and reduce the risk of the development of MetS in children.
This prospective longitudinal study aims to investigate the prevalence of MetS and its risk factors in 8-10-year-old schoolchildren (46 boys and 60 girls) over 3 consecutive years. General Linear Mixed Model (GLMM) was used to assess the effect of recommended daily levels of moderate to vigorous physical activity (MVPA), body mass index (BMI), waist circumference (WC), cardiorespiratory fitness (CRF), and obesity level on a new set of orthogonal variables formed from various parameters of MetS (eg blood pressure (BP), lipid panel and glucose homeostasis) determined by Principal Component Analysis (PCA).
The prevalence of MetS was 2% in the years 2017, 2018 and 2019, while in 2020 prevalence reached 7.7%. The most prevalent combination of criteria defining MetS syndrome in children was increased WC, BP, and blood triglycerides (TG). PCA identified non-high-density lipoprotein (non-HDL), low-density lipoprotein (LDL), and total cholesterol (TCHOL) as important predictors of metabolic syndrome (MetS). Additionally, cardiorespiratory fitness (CRF) and body mass index (BMI) were found to significantly influence the variance in MetS criteria. However, moderate to vigorous physical activity (MVPA) did not have a notable effect on the variance of these criteria.
The prevalence of MetS in children is increasing with age. Non-HDL turned out to be the most influential parameter across all principal components. The CRF, being accessible, simple to use, non-invasive and cost-effective, proved to be a superior predictor of variance of glucose homeostasis compared to BMI.
代谢综合征(MetS)在儿童和青少年中已成为一种并非罕见的病症,会导致身心健康发生变化。需要在学校采用简单且经济高效的筛查方法来采取预防措施,并降低儿童发生MetS的风险。
这项前瞻性纵向研究旨在连续三年调查8至10岁学童(46名男孩和60名女孩)中MetS及其风险因素的患病率。使用广义线性混合模型(GLMM)来评估推荐的每日中等至剧烈身体活动(MVPA)水平、体重指数(BMI)、腰围(WC)、心肺适能(CRF)和肥胖水平对通过主成分分析(PCA)由MetS的各种参数(如血压(BP)、血脂谱和葡萄糖稳态)形成的一组新的正交变量的影响。
2017年、2018年和2019年MetS的患病率为2%,而在2020年患病率达到7.7%。在儿童中定义MetS综合征最常见的标准组合是WC、BP和血液甘油三酯(TG)升高。PCA确定非高密度脂蛋白(non-HDL)、低密度脂蛋白(LDL)和总胆固醇(TCHOL)是代谢综合征(MetS)的重要预测指标。此外,发现心肺适能(CRF)和体重指数(BMI)对MetS标准的方差有显著影响。然而,中等至剧烈身体活动(MVPA)对这些标准的方差没有显著影响。
儿童中MetS的患病率随年龄增长而增加。事实证明,non-HDL是所有主成分中最具影响力的参数。与BMI相比,CRF具有可及性、使用简单、非侵入性且经济高效,被证明是葡萄糖稳态方差的更好预测指标。