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Clinical Studies and Practice

Predicting the development of the metabolically healthy obese phenotype

International Journal of Obesity volume 39, pages 228–234 (2015)Cite this article

Subjects

Abstract

Objective:

The metabolically healthy (MHO) and unhealthy obese (MUHO) differ in terms of cardiovascular risk. However, little is known about predicting the development of these phenotypes and the future stability of the MHO phenotype. Therefore, we examined these two issues in the San Antonio Heart Study.

Design:

Longitudinal, population-based study of cardiometabolic risk factors among Mexican Americans and non-Hispanic whites in San Antonio.

Subjects:

The study sample included 2368 participants with neither MUHO nor diabetes at baseline. Median follow-up was 7.8 years. MHO was defined as obesity with ⩽1 metabolic abnormality; MUHO, as obesity with ⩾2 abnormalities.

Results:

At baseline, 1595 and 498 individuals were non-obese with ⩽1 and ⩾2 metabolic abnormalities, respectively, and 275 were MHO. Among non-obese individuals, independent predictors of incident MHO (odds ratio (OR) for 1 s.d. change (95% confidence interval)) included body mass index (8.12 (5.66–11.7)), triglycerides (0.52 (0.39–0.68)) and high-density lipoprotein cholesterol (HDL-C) (1.41 (1.11–1.81)), whereas independent predictors of incident MUHO included body mass index (5.97 (4.58–7.77)) and triglycerides (1.26 (1.05–1.51)). Among participants with ⩽1 metabolic abnormality, obesity was associated with greater odds of developing multiple metabolic abnormalities (OR 2.26 (1.74–2.95)).

Conclusions:

Triglycerides and HDL-C may be useful for predicting progression to MHO. MHO may not be a stable condition, because it confers an increased risk of developing multiple metabolic abnormalities.

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Acknowledgements

This work was supported by grants from the National Heart, Lung and Blood Institute (RO1-HL24799 and RO1-HL36820).

Author Contributions

AI contributed to the analysis and interpretation of data and to write the manuscript. HPH researched data, contributed to interpretation of data and to discussion, and revised the manuscript for critically important content. SF is instrumental in the original study design, contributed to interpretation of data and to discussion, and revised the manuscript for critically important content. KA contributed to interpretation of data and to discussion, and revised the manuscript for critically important content. CL contributed to the study hypothesis and aims to analysis and interpretation of data, and to write the manuscript.

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Authors and Affiliations

  1. Department of Medicine, University of Texas Health Science Center, San Antonio, TX, USA

    I Achilike, H P Hazuda, S P Fowler, K Aung & C Lorenzo

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  1. I Achilike
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  2. H P Hazuda
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  3. S P Fowler
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  4. K Aung
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  5. C Lorenzo
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Corresponding author

Correspondence to C Lorenzo.

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Achilike, I., Hazuda, H., Fowler, S. et al. Predicting the development of the metabolically healthy obese phenotype. Int J Obes 39, 228–234 (2015). https://doi.org/10.1038/ijo.2014.113

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