Joint effects between body fat mass and insulin resistance with dyslipidemia in children

WANG Jiani; YANG Hui; ZHAO Min; XI Bo

doi:10.16835/j.cnki.1000-9817.2024312

Volume 45 Issue 10

Oct. 2024

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WANG Jiani, YANG Hui, ZHAO Min, XI Bo. Joint effects between body fat mass and insulin resistance with dyslipidemia in children[J]. CHINESE JOURNAL OF SCHOOL HEALTH, 2024, 45(10): 1383-1387. doi: 10.16835/j.cnki.1000-9817.2024312

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WANG Jiani, YANG Hui, ZHAO Min, XI Bo. Joint effects between body fat mass and insulin resistance with dyslipidemia in children[J]. CHINESE JOURNAL OF SCHOOL HEALTH, 2024, 45(10): 1383-1387. doi: 10.16835/j.cnki.1000-9817.2024312

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Joint effects between body fat mass and insulin resistance with dyslipidemia in children

doi: 10.16835/j.cnki.1000-9817.2024312

WANG Jiani^{1, 2},
YANG Hui^{1, 2},
ZHAO Min³,
XI Bo^{1, 2
,
,}

1.
Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan (250012), Shandong Province, China

Received Date: 2024-05-07
Rev Recd Date: 2024-06-18

Available Online: 2024-11-02

Publish Date: 2024-10-25

Abstract

Abstract

Objective To explore joint effects between body fat mass and insulin resistance with dyslipidemia in children, in order to provide scientific evidence for the prevention and treatment of dyslipidemia in children. Methods Data was derived from the second follow-up survey (2021) of the Huantai Childhood Cardiovascular Health Cohort. The complete information of a total of 1 322 children was included in the study. Multivariate Logistic regression model was used to analyze the association among fat mass percentage (FMP), fat mass index (FMI), subcutaneous fat mass (SFM) and visceral fat mass (VFM) and dyslipidemia. Restrictive cubic spline model was used to analyze dose-response relationship between levels of each of the four body fat mass indicators and dyslipidemia. Multivariate Logistic regression model was used to analyze the association of interaction of body fat mass indicators and insulin resistance (IR) with dyslipidemia. Results Boys had higher VFM and fasting plasma glucose (FPG) levels, while FMP, FMI, SFM, total cholesterol (TC), triglycerides (TG), and high-density lipoprotein cholesterol (HDL-C) levels were all lower than those of girls (t/Z=3.22, 2.58, -15.85, -7.35, -6.49, -2.40, -4.05, -2.40, P < 0.05). After adjusting for all covariates, compared with children with normal FMP, those with higher FMP had an increased likelihood of elevated triglyceride levels (OR=4.26, 95%CI=2.58-7.09) and low HDL-C levels (OR=4.10, 95%CI=2.51-6.76). FMI, SFM, and VFM observed similar results to FMP (P < 0.05). Additionally, the additive interaction analyses showed that all four indicators of elevated body fat mass interacted with IR, increasing the likelihood of dyslipidemia in children (P < 0.05). There were linear or nonlinear dose-response association between each of four body fat mass indicators and dyslipidemia. Conclusions Elevated body fat mass increases the likelihood of dyslipidemia in children, and the likelihood of dyslipidemia further would increase if children have concomitant IR. Therefore, it is necessary to pay more attention to children with elevated body fat mass and IR to prevent the occurrence of dyslipidemia.
- Body fat distribution,
- Insulin resistance,
- Dyslipidemias,
- Regression analysis,
- Child

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References(25)

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