Literature DB >> 24463933

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

Anna Viitasalo1, Timo A Lakka, David E Laaksonen, Kai Savonen, Hanna-Maaria Lakka, Maija Hassinen, Pirjo Komulainen, Tuomo Tompuri, Sudhir Kurl, Jari A Laukkanen, Rainer Rauramaa.   

Abstract

AIMS/HYPOTHESIS: We validated the metabolic syndrome (MetS) score by confirmatory factor analysis (CFA) in children, middle-aged men, and older women and men and by investigating the relationships of the MetS score to incident type 2 diabetes, myocardial infarction, and cardiovascular and overall death in middle-aged men.
METHODS: We assessed the core features of MetS, calculated the MetS score using z scores for waist circumference, insulin, glucose, triacylglycerols, HDL-cholesterol and blood pressure, and carried out CFA to investigate whether MetS represents a single entity in population samples of 491 children, 1,900 middle-aged men, 614 older women and 555 older men from Finland. We also followed-up incident type 2 diabetes for 11 years and other outcomes for 17-18 years in middle-aged men.
RESULTS: We carried out second-order CFAs in which the MetS was represented by a second-order latent variable underlying four latent variables characterised by abdominal obesity, insulin resistance, dyslipidaemia and raised blood pressure in different age groups. These second-order factors and factors derived from first-order CFA using previously proposed models were strongly associated with a composite MetS score in all age groups (r = 0.84-0.94) and similarly predicted type 2 diabetes, cardiovascular outcomes and mortality in middle-aged men. The risk of type 2 diabetes, myocardial infarction, cardiovascular death and overall death increased 3.67-, 1.38-, 1.56- and 1.44-fold, respectively, for a 1 SD increase in the MetS score.
CONCLUSIONS: The MetS can be described as a single entity in all age groups. The MetS score is a valid tool for research evaluating cardiometabolic risk in different age groups. Further research is needed to define cut-off points for risk estimation in clinical practice.

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Year:  2014        PMID: 24463933     DOI: 10.1007/s00125-014-3172-5

Source DB:  PubMed          Journal:  Diabetologia        ISSN: 0012-186X            Impact factor:   10.122


  36 in total

1.  Progress and challenges in metabolic syndrome in children and adolescents: a scientific statement from the American Heart Association Atherosclerosis, Hypertension, and Obesity in the Young Committee of the Council on Cardiovascular Disease in the Young; Council on Cardiovascular Nursing; and Council on Nutrition, Physical Activity, and Metabolism.

Authors:  Julia Steinberger; Stephen R Daniels; Robert H Eckel; Laura Hayman; Robert H Lustig; Brian McCrindle; Michele L Mietus-Snyder
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Authors:  Brian Bennett; D Enette Larson-Meyer; Eric Ravussin; Julia Volaufova; Arlette Soros; William T Cefalu; Stuart Chalew; Stewart Gordon; Steven R Smith; Bradley R Newcomer; Michael Goran; Melinda Sothern
Journal:  Obesity (Silver Spring)       Date:  2011-08-25       Impact factor: 5.002

3.  Validity of a single-factor model underlying the metabolic syndrome in children: a confirmatory factor analysis.

Authors:  Vicente Martínez-Vizcaíno; Montserrat Solera Martínez; Fernando Salcedo Aguilar; Sandra Serrano Martínez; Ricardo Franquelo Gutiérrez; Mairena Sánchez López; Pablo Moya Martínez; Fernando Rodríguez-Artalejo
Journal:  Diabetes Care       Date:  2010-03-18       Impact factor: 19.112

4.  Metabolic syndrome and development of diabetes mellitus: application and validation of recently suggested definitions of the metabolic syndrome in a prospective cohort study.

Authors:  David E Laaksonen; Hanna-Maaria Lakka; Leo K Niskanen; George A Kaplan; Jukka T Salonen; Timo A Lakka
Journal:  Am J Epidemiol       Date:  2002-12-01       Impact factor: 4.897

5.  Cardiorespiratory fitness as a feature of metabolic syndrome in older men and women: the Dose-Responses to Exercise Training study (DR's EXTRA).

Authors:  Maija Hassinen; Timo A Lakka; Kai Savonen; Hannu Litmanen; Leena Kiviaho; David E Laaksonen; Pirjo Komulainen; Rainer Rauramaa
Journal:  Diabetes Care       Date:  2008-03-10       Impact factor: 19.112

6.  Establishing a standard definition for child overweight and obesity worldwide: international survey.

Authors:  T J Cole; M C Bellizzi; K M Flegal; W H Dietz
Journal:  BMJ       Date:  2000-05-06

7.  Physical activity and clustered cardiovascular risk in children: a cross-sectional study (The European Youth Heart Study).

Authors:  Lars Bo Andersen; Maarike Harro; Luis B Sardinha; Karsten Froberg; Ulf Ekelund; Søren Brage; Sigmund Alfred Anderssen
Journal:  Lancet       Date:  2006-07-22       Impact factor: 79.321

8.  Metabolic syndrome model definitions predicting type 2 diabetes and cardiovascular disease.

Authors:  Cécile M Povel; Joline W Beulens; Yvonne T van der Schouw; Martijn E T Dollé; Annemieke M W Spijkerman; W M Monique Verschuren; Edith J M Feskens; Jolanda M A Boer
Journal:  Diabetes Care       Date:  2012-08-29       Impact factor: 19.112

9.  Independent associations of physical activity and cardiorespiratory fitness with metabolic risk factors in children: the European youth heart study.

Authors:  U Ekelund; S A Anderssen; K Froberg; L B Sardinha; L B Andersen; S Brage
Journal:  Diabetologia       Date:  2007-07-20       Impact factor: 10.122

10.  Magnetic resonance imaging of abdominal adiposity in a large cohort of British children.

Authors:  L L Benfield; K R Fox; D M Peters; H Blake; I Rogers; C Grant; A Ness
Journal:  Int J Obes (Lond)       Date:  2007-11-27       Impact factor: 5.095

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  36 in total

1.  Associations of Early to Mid-Childhood Adiposity with Elevated Mid-Childhood Alanine Aminotransferase Levels in the Project Viva Cohort.

Authors:  Jennifer A Woo Baidal; Erin E Elbel; Joel E Lavine; Sheryl L Rifas-Shiman; Matthew W Gillman; Emily Oken; Elsie M Taveras
Journal:  J Pediatr       Date:  2018-04-04       Impact factor: 4.406

Review 2.  Heart Disease and Stroke Statistics-2017 Update: A Report From the American Heart Association.

Authors:  Emelia J Benjamin; Michael J Blaha; Stephanie E Chiuve; Mary Cushman; Sandeep R Das; Rajat Deo; Sarah D de Ferranti; James Floyd; Myriam Fornage; Cathleen Gillespie; Carmen R Isasi; Monik C Jiménez; Lori Chaffin Jordan; Suzanne E Judd; Daniel Lackland; Judith H Lichtman; Lynda Lisabeth; Simin Liu; Chris T Longenecker; Rachel H Mackey; Kunihiro Matsushita; Dariush Mozaffarian; Michael E Mussolino; Khurram Nasir; Robert W Neumar; Latha Palaniappan; Dilip K Pandey; Ravi R Thiagarajan; Mathew J Reeves; Matthew Ritchey; Carlos J Rodriguez; Gregory A Roth; Wayne D Rosamond; Comilla Sasson; Amytis Towfighi; Connie W Tsao; Melanie B Turner; Salim S Virani; Jenifer H Voeks; Joshua Z Willey; John T Wilkins; Jason Hy Wu; Heather M Alger; Sally S Wong; Paul Muntner
Journal:  Circulation       Date:  2017-01-25       Impact factor: 29.690

3.  A prevalent caveolin-1 gene variant is associated with the metabolic syndrome in Caucasians and Hispanics.

Authors:  Rene Baudrand; Mark O Goodarzi; Anand Vaidya; Patricia C Underwood; Jonathan S Williams; Xavier Jeunemaitre; Paul N Hopkins; Nancy Brown; Benjamin A Raby; Jessica Lasky-Su; Gail K Adler; Jinrui Cui; Xiuqing Guo; Kent D Taylor; Yii-Der I Chen; Anny Xiang; Leslie J Raffel; Thomas A Buchanan; Jerome I Rotter; Gordon H Williams; Luminita H Pojoga
Journal:  Metabolism       Date:  2015-09-12       Impact factor: 8.694

4.  Wrist circumference is a biomarker of adipose tissue dysfunction and cardiovascular risk in children with obesity.

Authors:  C Luordi; E Maddaloni; C Bizzarri; S Pedicelli; S Zampetti; L D'Onofrio; C Moretti; M Cappa; R Buzzetti
Journal:  J Endocrinol Invest       Date:  2019-07-25       Impact factor: 4.256

5.  Association between fluoride exposure and cardiometabolic risk in peripubertal Mexican children.

Authors:  Yun Liu; Martha Téllez-Rojo; Brisa N Sánchez; Adrienne S Ettinger; Citlalli Osorio-Yáñez; Maritsa Solano; Howard Hu; Karen E Peterson
Journal:  Environ Int       Date:  2019-11-11       Impact factor: 9.621

6.  Associations of the infancy body mass index peak with anthropometry and cardiometabolic risk in Mexican adolescents.

Authors:  Wei Perng; Jonggyu Baek; Christina W Zhou; Alejandra Cantoral; Maria Martha Tellez-Rojo; Peter X K Song; Karen E Peterson
Journal:  Ann Hum Biol       Date:  2018-10-17       Impact factor: 1.533

7.  Comparison between different criteria for metabolic syndrome in schoolchildren from southern Brazil.

Authors:  Cézane Priscila Reuter; Miria Suzana Burgos; Cláudia Daniela Barbian; Jane Dagmar Pollo Renner; Silvia Isabel Rech Franke; Elza Daniel de Mello
Journal:  Eur J Pediatr       Date:  2018-07-04       Impact factor: 3.183

8.  Objective Sleep Characteristics and Cardiometabolic Health in Young Adolescents.

Authors:  Elizabeth M Cespedes Feliciano; Mirja Quante; Sheryl L Rifas-Shiman; Susan Redline; Emily Oken; Elsie M Taveras
Journal:  Pediatrics       Date:  2018-06-15       Impact factor: 7.124

9.  Dietary folate intake and metabolic syndrome in participants of PREDIMED-Plus study: a cross-sectional study.

Authors:  Eva-Maria Navarrete-Muñoz; Jesus Vioque; Estefanía Toledo; Alejando Oncina-Canovas; Miguel Ángel Martínez-González; Jordi Salas-Salvadó; Dolores Corella; Montserrat Fitó; Dora Romaguera; Ángel M Alonso-Gómez; Julia Wärnberg; J Alfredo Martínez; Luís Serra-Majem; Ramon Estruch; Francisco J Tinahones; José Lapetra; Xavier Pintó; Josep A Tur; José López-Miranda; Aurora Bueno-Cavanillas; Pilar Matía-Martín; Lidia Daimiel; Vicente Martín Sánchez; Josep Vidal; Ana Isabel de Cos Blanco; Emili Ros; Javier Diez-Espino; Nancy Babio; Rebeca Fernandez-Carrion; Olga Castañer; Antoni Colom; Laura Compañ-Gabucio; Itziar Salaverria Lete; Edelys Crespo-Oliva; Itziar Abete; Laura Tomaino; Rosa Casas; José Carlos Fernandez-Garcia; José Manuel Santos-Lozano; Iziar Sarasa; José M Gámez; José M Antonio Garcia-Rios; Sandra Martín-Pelaez; Miguel Ruiz-Canela; Andrés Díaz-López; Raul Martinez-Lacruz; Maria Dolors Zomeño; Elena Rayó; Cristina Gisbert Sellés; Silvia Canudas; Albert Goday; Manoli García-de-la-Hera
Journal:  Eur J Nutr       Date:  2020-08-24       Impact factor: 5.614

10.  Dietary Patterns Exhibit Sex-Specific Associations with Adiposity and Metabolic Risk in a Cross-Sectional Study in Urban Mexican Adolescents.

Authors:  Wei Perng; Carmen Fernandez; Karen E Peterson; ZhenZhen Zhang; Alejandra Cantoral; Brisa N Sanchez; Maritsa Solano-González; Martha Maria Téllez-Rojo; Ana Baylin
Journal:  J Nutr       Date:  2017-08-30       Impact factor: 4.798

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