Literature DB >> 22731985

Clustering of metabolic risk factors is associated with high-normal levels of liver enzymes among 6- to 8-year-old children: the PANIC study.

Anna Viitasalo1, David E Laaksonen, Virpi Lindi, Aino-Maija Eloranta, Jarmo Jääskeläinen, Tuomo Tompuri, Sari Väisänen, Hanna-Maaria Lakka, Timo A Lakka.   

Abstract

BACKGROUND: We studied the associations of clustering of metabolic risk factors with plasma levels of alanine aminotransferase (ALT) and gamma-glutamyl transferase (GGT) in healthy prepubertal children.
METHODS: The subjects were a representative population sample of 492 children 6-8 years of age. We assessed body fat percentage (dual-energy X-ray absorptiometry), body mass index, waist circumference, systolic and diastolic blood pressure, glucose, insulin, high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), triglycerides, ALT, GGT, and high-sensitivity C-reactive protein (hsCRP) and calculated a continuous metabolic syndrome score variable. We also used factor analysis to examine whether high-normal liver enzymes are a feature of metabolic syndrome among children.
RESULTS: Children with overweight or obesity, defined by International Obesity Task Force (IOTF) criteria, had a 2.1-times higher risk of having ALT and a 4.5-times higher risk of having GGT in the highest fifth of its distribution than normal weight children. Children in the highest sex-specific third of metabolic syndrome score, body fat percentage, waist circumference, and insulin had a two to three times higher risk of being in the highest fifth of ALT and GGT. Moreover, children in the highest third of glucose and hsCRP had a 2.5-fold risk of being in the highest fifth of GGT. First-order factor analysis yielded three factors; the first included insulin, glucose, and triglycerides; the second waist circumference, insulin, GGT, and hsCRP; and the third HDL-C, triglycerides, waist circumference, and insulin. Second-order factor analysis yielded a single metabolic syndrome factor, explaining 64.1% of the variance.
CONCLUSIONS: Clustering of metabolic risk factors, particularly excess body fat, is associated with high-normal levels of ALT and GGT in prepubertal children. High-normal levels of liver enzymes, especially GGT, and systemic low-grade inflammation could be considered features of metabolic syndrome among children. Subtle changes in liver function may play an important role in the pathogenesis of metabolic syndrome beginning in childhood.

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Year:  2012        PMID: 22731985     DOI: 10.1089/met.2012.0015

Source DB:  PubMed          Journal:  Metab Syndr Relat Disord        ISSN: 1540-4196            Impact factor:   1.894


  9 in total

1.  Cross-sectional associations of food consumption with plasma fatty acid composition and estimated desaturase activities in Finnish children.

Authors:  Taisa Venäläinen; Ursula Schwab; Jyrki Ågren; Vanessa de Mello; Virpi Lindi; Aino-Maija Eloranta; Sanna Kiiskinen; David Laaksonen; Timo A Lakka
Journal:  Lipids       Date:  2014-05       Impact factor: 1.880

Review 2.  Effects of physical activity upon the liver.

Authors:  Roy J Shephard; Nathan Johnson
Journal:  Eur J Appl Physiol       Date:  2014-11-04       Impact factor: 3.078

3.  Validation of metabolic syndrome score by confirmatory factor analysis in children and adults and prediction of cardiometabolic outcomes in adults.

Authors:  Anna Viitasalo; Timo A Lakka; David E Laaksonen; Kai Savonen; Hanna-Maaria Lakka; Maija Hassinen; Pirjo Komulainen; Tuomo Tompuri; Sudhir Kurl; Jari A Laukkanen; Rainer Rauramaa
Journal:  Diabetologia       Date:  2014-01-24       Impact factor: 10.122

4.  Finger skin temperatures in 8- to 11-year-old children: determinants including physical characteristics and seasonal variation. The Physical Activity and Nutrition in Children (PANIC) Study.

Authors:  Nina Zaproudina; Matti Närhi; Aapo Veijalainen; Tomi Laitinen; Timo A Lakka
Journal:  Eur J Appl Physiol       Date:  2015-11-26       Impact factor: 3.078

5.  Dietary factors associated with metabolic risk score in Finnish children aged 6-8 years: the PANIC study.

Authors:  A M Eloranta; V Lindi; U Schwab; S Kiiskinen; T Venäläinen; H M Lakka; D E Laaksonen; T A Lakka
Journal:  Eur J Nutr       Date:  2013-12-30       Impact factor: 5.614

6.  Abdominal adiposity and cardiometabolic risk factors in children and adolescents: a Mendelian randomization analysis.

Authors:  Anna Viitasalo; Theresia M Schnurr; Niina Pitkänen; Mette Hollensted; Tenna R H Nielsen; Katja Pahkala; Mustafa Atalay; Mads V Lind; Sami Heikkinen; Christine Frithioff-Bøjsøe; Cilius E Fonvig; Niels Grarup; Mika Kähönen; Germán D Carrasquilla; Anni Larnkjaer; Oluf Pedersen; Kim F Michaelsen; Timo A Lakka; Jens-Christian Holm; Terho Lehtimäki; Olli Raitakari; Torben Hansen; Tuomas O Kilpeläinen
Journal:  Am J Clin Nutr       Date:  2019-11-01       Impact factor: 7.045

7.  Longitudinal associations of physical activity and sedentary time with cardiometabolic risk factors in children.

Authors:  Juuso Väistö; Eero A Haapala; Anna Viitasalo; Theresia M Schnurr; Tuomas O Kilpeläinen; Panu Karjalainen; Kate Westgate; Hanna-Maaria Lakka; David E Laaksonen; Ulf Ekelund; Søren Brage; Timo A Lakka
Journal:  Scand J Med Sci Sports       Date:  2018-10-23       Impact factor: 4.221

8.  Physical activity and sedentary behaviour in relation to cardiometabolic risk in children: cross-sectional findings from the Physical Activity and Nutrition in Children (PANIC) Study.

Authors:  Juuso Väistö; Aino-Maija Eloranta; Anna Viitasalo; Tuomo Tompuri; Niina Lintu; Panu Karjalainen; Eeva-Kaarina Lampinen; Jyrki Ågren; David E Laaksonen; Hanna-Maaria Lakka; Virpi Lindi; Timo A Lakka
Journal:  Int J Behav Nutr Phys Act       Date:  2014-04-26       Impact factor: 6.457

9.  Predictive Value of Serum Gamma-glutamyltranspeptidase for Future Cardiometabolic Dysregulation in Adolescents- a 10-year longitudinal study.

Authors:  Chien-Ming Lin; Chang-Hsun Hsieh; Chien-Hsing Lee; Dee Pei; Jiunn-Diann Lin; Chung-Ze Wu; Yao-Jen Liang; Yi-Jen Hung; Yen-Lin Chen
Journal:  Sci Rep       Date:  2017-08-29       Impact factor: 4.379

  9 in total

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