Literature DB >> 19375132

Adherence to Mediterranean diet is favorably associated with metabolic parameters in HIV-positive patients with the highly active antiretroviral therapy-induced metabolic syndrome and lipodystrophy.

Sotiris Tsiodras1, Kalliopi-Anna Poulia, Mary Yannakoulia, Sonia N Chimienti, Sanjivini Wadhwa, Adolf W Karchmer, Christos S Mantzoros.   

Abstract

The objective of the study was to investigate whether closer adherence to a Mediterranean dietary pattern is associated with metabolic aspects of the highly active antiretroviral therapy (HAART)-induced metabolic syndrome (fat redistribution [FR], insulin resistance, dyslipidemia) in HIV-positive patients. This was a cross-sectional study. Two hundred twenty-seven HIV-infected patients were evaluated during a single outpatient visit to the General Clinical Research Center of Beth Israel Deaconess Medical Center. Usual dietary intake and physical activity habits were evaluated; the Mediterranean Diet Score (MedDietScore) was calculated. Dual-energy x-ray absorptiometry, computed tomographic findings, anthropometrics, and data from the study interviews and questionnaires were used for the assessment of body composition using specific criteria. A complete metabolic profile was available for all subjects. In the entire study sample, a weak inverse association was found between insulin resistance, estimated using the homeostasis model assessment, and MedDietScore (standardized beta = -0.15, P = .03). Interaction models revealed that this was largely driven by an inverse association in patients with FR (standardized beta = -0.13, P = .02). Moreover, MedDietScore was positively correlated with high-density lipoprotein cholesterol (standardized beta = 0.15, P = .01) and marginally negatively associated with circulating triglyceride levels (standardized beta = -0.16, P = .13) in this group of patients. Adherence to a Mediterranean dietary pattern was favorably related to cardiovascular risk factors in HIV-positive patients with FR. Further clinical studies are needed to confirm our data in different populations and to explore the underlying mechanisms.

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Year:  2009        PMID: 19375132      PMCID: PMC2829239          DOI: 10.1016/j.metabol.2009.02.012

Source DB:  PubMed          Journal:  Metabolism        ISSN: 0026-0495            Impact factor:   8.694


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