Literature DB >> 33473177

Contribution of insulin resistance to the relationship between sugar-sweetened beverage intake and a constellation of cardiometabolic abnormalities in adolescents.

Pei-Wen Wu1, Sharon Tsai2, Chun-Ying Lee3,4, Wei-Ting Lin1,5, Yu-Ting Chin1, Hsiao-Ling Huang6, David W Seal5, Ted Chen5, Chien-Hung Lee7,8,9.   

Abstract

BACKGROUND: Insulin resistance (IR) is a pathophysiological construct that derives a series of metabolic disturbances that promote cardiometabolic dysfunction. This study evaluated mediating and modifying effects of homeostatic model assessment-based IR (HOMA-IR) on the association between sugar-sweetened beverage (SSB) consumption and a constellation of adolescent cardiometabolic abnormalities.
METHODS: Comprehensive data on sociodemographics, diet, physical activity, and anthropometric and biochemical parameters for 1454 adolescents were obtained from a large-scale representative study for adolescent metabolic syndrome (MetS) conducted in Taiwan. The original (HOMA1-IR) and updated nonlinear (HOMA2-IR) HOMA-IR indicators were used as IR biomarkers. Principal component (PC) analysis was employed to create reduced groups of variables and risk scores for retained PCs.
RESULTS: Higher SSB intake was associated with higher levels of HOMA1-IR and HOMA2-IR, and the two IR biomarkers were positively correlated with metabolic dysfunction clustering. Compared with SSB nondrinkers, adolescents who consumed >500 mL/day of hand-shaken high-fructose corn syrup beverages (HHB) had a 0.22 increase in the number of abnormal MetS components, and HOMA-IR mediation explained 33.9-37.9% of the effect. IR biomarkers accounted for 26.5-31.0% of the relationship between >500 mL/day of SSB consumption and bodyweight-enhanced PC scores. The effects of HOMA-IR indicators on all bodyweight-related factors were consistently intensified among >350 mL/day HHB drinkers (all Pinteraction < 0.05).
CONCLUSIONS: Fructose-rich SSB intake correlates with a constellation of cardiometabolic abnormalities in adolescents, and this association may be partly mediated by HOMA-IR levels. The adverse effects of HOMA-IR on bodyweight-associated cardiometabolic risk factors depend on the type of SSB consumption, with enhanced risks observed in the intake of high amounts of HFCS-containing SSBs.

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Year:  2021        PMID: 33473177     DOI: 10.1038/s41366-021-00745-1

Source DB:  PubMed          Journal:  Int J Obes (Lond)        ISSN: 0307-0565            Impact factor:   5.095


  37 in total

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2.  Origin of cardiovascular risk in overweight preschool children: a cohort study of cardiometabolic risk factors at the onset of obesity.

Authors:  Blegina Shashaj; Giorgio Bedogni; Maria P Graziani; Alberto E Tozzi; Maria L DiCorpo; Donatella Morano; Ludovica Tacconi; Patrizio Veronelli; Benedetta Contoli; Melania Manco
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Authors:  Antonino Di Pino; Ralph A DeFronzo
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5.  Metabolic syndrome in childhood predicts adult metabolic syndrome and type 2 diabetes mellitus 25 to 30 years later.

Authors:  John A Morrison; Lisa Aronson Friedman; Ping Wang; Charles J Glueck
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6.  Severity of Metabolic Syndrome as a Predictor of Cardiovascular Disease Between Childhood and Adulthood: The Princeton Lipid Research Cohort Study.

Authors:  Mark D DeBoer; Matthew J Gurka; Jessica G Woo; John A Morrison
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7.  Insulin resistance and clustering of cardiometabolic risk factors in urban teenagers in southern India.

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8.  Abdominal obesity, metabolic dysfunction, and metabolic syndrome in U.S. adolescents: National Health and Nutrition Examination Survey 2011-2016.

Authors:  Symielle A Gaston; Nicolle S Tulve; Tekeda F Ferguson
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Authors:  Andrea Elena Iglesias Molli; Alberto Penas Steinhardt; Ariel Pablo López; Claudio Daniel González; Jorge Vilariño; Gustavo Daniel Frechtel; Gloria Edith Cerrone
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10.  Metabolic syndrome and associated factors in Iranian children and adolescents: the CASPIAN-V study.

Authors:  Ramin Heshmat; Zeinab Hemati; Mostafa Qorbani; Laleh Nabizadeh Asl; Mohammad Esmaeil Motlagh; Hasan Ziaodini; Majzoubeh Taheri; Zeinab Ahadi; Gita Shafiee; Tahereh Aminaei; Hooman Hatami; Roya Kelishadi
Journal:  J Cardiovasc Thorac Res       Date:  2018-12-05
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  3 in total

1.  Multilevel Understanding of the Impact of Individual- and School-Level Determinants on Lipid Profiles in Adolescents: The Cross-Level Interaction of Food Environment and Body Mass Index.

Authors:  Wei-Ting Lin; Yu-Ting Chin; Pei-Wen Wu; Sharon Tsai; Meng-Hsueh Chen; Chiao-I Chang; Yu-Cheng Yang; Chun-Ying Lee; David W Seal; Chien-Hung Lee
Journal:  Nutrients       Date:  2022-05-15       Impact factor: 6.706

2.  Stability and Transformation of Metabolic Syndrome in Adolescents: A Prospective Assessment in Relation to the Change of Cardiometabolic Risk Factors.

Authors:  Pei-Wen Wu; Yi-Wen Lai; Yu-Ting Chin; Sharon Tsai; Tun-Min Yang; Wei-Ting Lin; Chun-Ying Lee; Wei-Chung Tsai; Hsiao-Ling Huang; David W Seal; Tsai-Hui Duh; Chien-Hung Lee
Journal:  Nutrients       Date:  2022-02-10       Impact factor: 5.717

3.  Excessive fructose intake inhibits skeletal development in adolescent rats via gut microbiota and energy metabolism.

Authors:  Tianlin Gao; Chunyan Tian; Ge Tian; Li Ma; Lili Xu; Wendong Liu; Jing Cai; Feng Zhong; Huaqi Zhang; Aiguo Ma
Journal:  Front Microbiol       Date:  2022-09-14       Impact factor: 6.064

  3 in total

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