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01.12.2014 | Short report | Ausgabe 1/2014 Open Access

Diabetology & Metabolic Syndrome 1/2014

The prevalence of the metabolically healthy obese phenotype in an aging population and its association with subclinical cardiovascular disease: The Brazilian study on healthy aging

Zeitschrift:
Diabetology & Metabolic Syndrome > Ausgabe 1/2014
Autoren:
Lara Roberson, Sameer Shaharyar, Ehimen Aneni, Wladimir Freitas, Michael Blaha, Arthur Agatston, Roger Blumenthal, Raul D Santos, Hamid Feiz, Khurram Nasir, Andrei Sposito
Wichtige Hinweise

Competing interests

The authors declare that they have no competing interests.

Authors’ contributions

WF, RS, and AS carried out the study and assisted in data qualify and analysis procedures. LR and SS drafted the manuscript and conducted the literature review. EA, KN, and AA developed the data analysis plan and manuscript structure. HF, MB, and RB edited the manuscript and assisted with the table construction and revisions. All authors read and approved the final manuscript.

Abstract

Background

Current literature has elucidated a new phenotype, metabolically healthy obese (MHO), with risks of cardiovascular disease similar to that of normal weight individuals. Few studies have examined the MHO phenotype in an aging population, especially in association with subclinical CVD.

Research design and methods

This cross sectional study population consisted of 208 octogenarians and older. Anthropometrics, biochemical, and radiological parameters were measured to assess obesity, metabolic health (assessed by the National Cholesterol Education Program –Adult Treatment Panel (NCEP-ATP III) criteria), and subclinical measures of CVD.

Results

The prevalence of MHO was 13.5% (N = 28). No significant association with MHO was noted for age, coronary artery calcium score, cIMT, or hs-CRP > 3 mg/dl (p = NS).

Conclusions

Our results suggest that the MHO phenotype exists in the elderly; however, subclinical CVD measures were not different in sub-group analysis suggesting traditional metabolic risk factor algorithms may not be accurate in the very elderly.
Literatur
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