OBJECTIVES: Multiple aspects of the metabolic syndrome (MetS) remain problematic. Here we assess the association between epidemic obesity and the other MetS traits, and MetS utility for cardiovascular disease (CVD) risk assessment. METHODS: Italian population-based Progetto CUORE data were used: 17 252 women and men ages 35-69 years, baseline 1984-1993, mean follow-up of 10 years, for nonfatal plus fatal CVD events. NCEP-ATP III criteria defined MetS. RESULTS: Epidemic obesity was strongly related to epidemic rates of the four other MetS traits. Only four of 16 possible MetS trait combinations were common; their CVD hazard ratios ranged from 1.21 to 1.70. In multivariate analyses MetS was no better than the sum of its parts in predicting CVD, important information was lost due to omission of non-HDL-C and smoking, and from considering MetS traits as yes/no variables. CVD risk prediction by MetS was less strong for men and no stronger for women than by classical risk factors (blood pressure, diabetes, serum cholesterol, smoking, overweight/obesity). CONCLUSIONS: These findings are concordant with the inference that epidemic obesity importantly influences epidemic occurrence of the other MetS traits; they also indicate that use of MetS for CVD risk assessment has limitations and needs critical reconsideration.
OBJECTIVES: Multiple aspects of the metabolic syndrome (MetS) remain problematic. Here we assess the association between epidemic obesity and the other MetS traits, and MetS utility for cardiovascular disease (CVD) risk assessment. METHODS: Italian population-based Progetto CUORE data were used: 17 252 women and men ages 35-69 years, baseline 1984-1993, mean follow-up of 10 years, for nonfatal plus fatal CVD events. NCEP-ATP III criteria defined MetS. RESULTS:Epidemic obesity was strongly related to epidemic rates of the four other MetS traits. Only four of 16 possible MetS trait combinations were common; their CVD hazard ratios ranged from 1.21 to 1.70. In multivariate analyses MetS was no better than the sum of its parts in predicting CVD, important information was lost due to omission of non-HDL-C and smoking, and from considering MetS traits as yes/no variables. CVD risk prediction by MetS was less strong for men and no stronger for women than by classical risk factors (blood pressure, diabetes, serum cholesterol, smoking, overweight/obesity). CONCLUSIONS: These findings are concordant with the inference that epidemic obesity importantly influences epidemic occurrence of the other MetS traits; they also indicate that use of MetS for CVD risk assessment has limitations and needs critical reconsideration.
Authors: F Tassone; L Gianotti; C Baffoni; F Cesario; G Magro; M Pellegrino; I Emmolo; M Maccario; G Borretta Journal: J Endocrinol Invest Date: 2011-12-21 Impact factor: 4.256
Authors: Cesare De Gregorio; Herbert Marini; Angela Alibrandi; Antonino Di Benedetto; Alessandra Bitto; Elena Bianca Adamo; Domenica Altavilla; Concetta Irace; Giacoma Di Vieste; Diego Pancaldo; Roberta Granese; Marco Atteritano; Salvatore Corrao; Giuseppe Licata; Francesco Squadrito; Vincenzo Arcoraci Journal: Nutrients Date: 2017-06-07 Impact factor: 5.717
Authors: Julie K K Vishram; Anders Borglykke; Anne H Andreasen; Jørgen Jeppesen; Hans Ibsen; Torben Jørgensen; Luigi Palmieri; Simona Giampaoli; Chiara Donfrancesco; Frank Kee; Giuseppe Mancia; Giancarlo Cesana; Kari Kuulasmaa; Veikko Salomaa; Susana Sans; Jean Ferrieres; Jean Dallongeville; Stefan Söderberg; Dominique Arveiler; Aline Wagner; Hugh Tunstall-Pedoe; Wojciech Drygas; Michael H Olsen Journal: PLoS One Date: 2014-09-22 Impact factor: 3.240