Dark chocolate polyphenol intake is an efficient predictor of metabolic syndrome: the ATTICA study

Duane MELLOR, Ekavi GEORGOUSOPOULOU, Nenad NAUMOVSKI, Demosthenes B. Panagiotakos, Christina Chrysohoou, A Zana, Dimitrios Tousoulis, Christodoulos Stefanadis, Christos Pitsavos

Research output: Contribution to journalMeeting Abstract

Abstract

Background/Aims: There is increasing interest and evidence that there is a potential favourable association between the daily consumption of dark chocolate and cardio-metabolic risk. However, this association has not been evaluated for its predictive ability. The aim of this analysis is to assess the role of dark chocolate consumption in predicting the presence of Metabolic Syndrome (MetS). Methods: During 2001-2002, 1514 men and 1528 women (age >18 years) without any clinical evidence chronic disease (including CVD), living in greater Athens area, Greece, were enrolled (ATTICA study). MetS was defined by the National Cholesterol Education Program Adult Treatment panel III (revised NCEP) Chocolate intake was assessed with a valid FFQ. Results: Daily dark chocolate polyphenols intake was a significant diagnostic tool for the presence of MetS, (AUC = 0.420, p = 0.001). Additionally, for every 25 mg increase in the daily intake of dark chocolate polyphenols, the odds ratio of MetS presence decreased by 8% (Odds Ratio = 0.992, 95%CI: 0.988, 0.996) Conclusions: Daily dark chocolate polyphenols consumption appears to be associated with the presence of metabolic syndrome. Further studies are required to examine the mechanisms through which dark chocolate mitigates the risk of developing MetS.
Original languageEnglish
Pages (from-to)97-97
Number of pages1
JournalJournal of Nutrition and Intermediary Metabolism
Volume8
DOIs
Publication statusPublished - 2017

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metabolic syndrome
chocolate
Polyphenols
polyphenols
odds ratio
Odds Ratio
Greece
Chocolate
chronic diseases
Area Under Curve
Chronic Disease
Cholesterol
Education

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MELLOR, Duane ; GEORGOUSOPOULOU, Ekavi ; NAUMOVSKI, Nenad ; Panagiotakos, Demosthenes B. ; Chrysohoou, Christina ; Zana, A ; Tousoulis, Dimitrios ; Stefanadis, Christodoulos ; Pitsavos, Christos. / Dark chocolate polyphenol intake is an efficient predictor of metabolic syndrome: the ATTICA study. In: Journal of Nutrition and Intermediary Metabolism. 2017 ; Vol. 8. pp. 97-97.
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title = "Dark chocolate polyphenol intake is an efficient predictor of metabolic syndrome: the ATTICA study",
abstract = "Background/Aims: There is increasing interest and evidence that there is a potential favourable association between the daily consumption of dark chocolate and cardio-metabolic risk. However, this association has not been evaluated for its predictive ability. The aim of this analysis is to assess the role of dark chocolate consumption in predicting the presence of Metabolic Syndrome (MetS). Methods: During 2001-2002, 1514 men and 1528 women (age >18 years) without any clinical evidence chronic disease (including CVD), living in greater Athens area, Greece, were enrolled (ATTICA study). MetS was defined by the National Cholesterol Education Program Adult Treatment panel III (revised NCEP) Chocolate intake was assessed with a valid FFQ. Results: Daily dark chocolate polyphenols intake was a significant diagnostic tool for the presence of MetS, (AUC = 0.420, p = 0.001). Additionally, for every 25 mg increase in the daily intake of dark chocolate polyphenols, the odds ratio of MetS presence decreased by 8{\%} (Odds Ratio = 0.992, 95{\%}CI: 0.988, 0.996) Conclusions: Daily dark chocolate polyphenols consumption appears to be associated with the presence of metabolic syndrome. Further studies are required to examine the mechanisms through which dark chocolate mitigates the risk of developing MetS.",
author = "Duane MELLOR and Ekavi GEORGOUSOPOULOU and Nenad NAUMOVSKI and Panagiotakos, {Demosthenes B.} and Christina Chrysohoou and A Zana and Dimitrios Tousoulis and Christodoulos Stefanadis and Christos Pitsavos",
year = "2017",
doi = "10.1016/j.jnim.2017.04.140",
language = "English",
volume = "8",
pages = "97--97",
journal = "Journal of Nutrition and Intermediary Metabolism",
issn = "2352-3859",
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}

MELLOR, D, GEORGOUSOPOULOU, E, NAUMOVSKI, N, Panagiotakos, DB, Chrysohoou, C, Zana, A, Tousoulis, D, Stefanadis, C & Pitsavos, C 2017, 'Dark chocolate polyphenol intake is an efficient predictor of metabolic syndrome: the ATTICA study', Journal of Nutrition and Intermediary Metabolism, vol. 8, pp. 97-97. https://doi.org/10.1016/j.jnim.2017.04.140

Dark chocolate polyphenol intake is an efficient predictor of metabolic syndrome: the ATTICA study. / MELLOR, Duane; GEORGOUSOPOULOU, Ekavi; NAUMOVSKI, Nenad; Panagiotakos, Demosthenes B.; Chrysohoou, Christina; Zana, A; Tousoulis, Dimitrios; Stefanadis, Christodoulos; Pitsavos, Christos.

In: Journal of Nutrition and Intermediary Metabolism, Vol. 8, 2017, p. 97-97.

Research output: Contribution to journalMeeting Abstract

TY - JOUR

T1 - Dark chocolate polyphenol intake is an efficient predictor of metabolic syndrome: the ATTICA study

AU - MELLOR, Duane

AU - GEORGOUSOPOULOU, Ekavi

AU - NAUMOVSKI, Nenad

AU - Panagiotakos, Demosthenes B.

AU - Chrysohoou, Christina

AU - Zana, A

AU - Tousoulis, Dimitrios

AU - Stefanadis, Christodoulos

AU - Pitsavos, Christos

PY - 2017

Y1 - 2017

N2 - Background/Aims: There is increasing interest and evidence that there is a potential favourable association between the daily consumption of dark chocolate and cardio-metabolic risk. However, this association has not been evaluated for its predictive ability. The aim of this analysis is to assess the role of dark chocolate consumption in predicting the presence of Metabolic Syndrome (MetS). Methods: During 2001-2002, 1514 men and 1528 women (age >18 years) without any clinical evidence chronic disease (including CVD), living in greater Athens area, Greece, were enrolled (ATTICA study). MetS was defined by the National Cholesterol Education Program Adult Treatment panel III (revised NCEP) Chocolate intake was assessed with a valid FFQ. Results: Daily dark chocolate polyphenols intake was a significant diagnostic tool for the presence of MetS, (AUC = 0.420, p = 0.001). Additionally, for every 25 mg increase in the daily intake of dark chocolate polyphenols, the odds ratio of MetS presence decreased by 8% (Odds Ratio = 0.992, 95%CI: 0.988, 0.996) Conclusions: Daily dark chocolate polyphenols consumption appears to be associated with the presence of metabolic syndrome. Further studies are required to examine the mechanisms through which dark chocolate mitigates the risk of developing MetS.

AB - Background/Aims: There is increasing interest and evidence that there is a potential favourable association between the daily consumption of dark chocolate and cardio-metabolic risk. However, this association has not been evaluated for its predictive ability. The aim of this analysis is to assess the role of dark chocolate consumption in predicting the presence of Metabolic Syndrome (MetS). Methods: During 2001-2002, 1514 men and 1528 women (age >18 years) without any clinical evidence chronic disease (including CVD), living in greater Athens area, Greece, were enrolled (ATTICA study). MetS was defined by the National Cholesterol Education Program Adult Treatment panel III (revised NCEP) Chocolate intake was assessed with a valid FFQ. Results: Daily dark chocolate polyphenols intake was a significant diagnostic tool for the presence of MetS, (AUC = 0.420, p = 0.001). Additionally, for every 25 mg increase in the daily intake of dark chocolate polyphenols, the odds ratio of MetS presence decreased by 8% (Odds Ratio = 0.992, 95%CI: 0.988, 0.996) Conclusions: Daily dark chocolate polyphenols consumption appears to be associated with the presence of metabolic syndrome. Further studies are required to examine the mechanisms through which dark chocolate mitigates the risk of developing MetS.

U2 - 10.1016/j.jnim.2017.04.140

DO - 10.1016/j.jnim.2017.04.140

M3 - Meeting Abstract

VL - 8

SP - 97

EP - 97

JO - Journal of Nutrition and Intermediary Metabolism

JF - Journal of Nutrition and Intermediary Metabolism

SN - 2352-3859

ER -