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PLoS One ; 9(11): e112355, 2014.
Article in English | MEDLINE | ID: mdl-25401949

ABSTRACT

OBJECTIVE: Whether retroperitoneal fat should be included in the measurement of visceral fat remains controversial. We compared the relationships of fat areas in peritoneal, retroperitoneal, and subcutaneous compartments to metabolic syndrome, adipokines, and incident hypertension and diabetes. METHODS: We enrolled 432 adult participants (153 men and 279 women) in a community-based cohort study. Computed tomography at the umbilicus level was used to measure the fat areas. RESULTS: Retroperitoneal fat correlated significantly with metabolic syndrome (adjusted odds ratio (OR), 5.651, p<0.05) and the number of metabolic abnormalities (p<0.05). Retroperitoneal fat area was significantly associated with blood pressure, plasma glycemic indices, lipid profile, C-reactive protein, adiponectin (r =  -0.244, P<0.05), and leptin (r = 0.323, p<0.05), but not plasma renin or aldosterone concentrations. During the 2.94 ± 0.84 years of follow-up, 32 participants developed incident hypertension. Retroperitoneal fat area (hazard ration (HR) 1.62, p = 0.003) and peritoneal fat area (HR 1.62, p = 0.009), but not subcutaneous fat area (p = 0.14) were associated with incident hypertension. Neither retroperitoneal fat area, peritoneal fat area, nor subcutaneous fat areas was associated with incident diabetes after adjustment. CONCLUSIONS: Retroperitoneal fat is similar to peritoneal fat, but differs from subcutaneous fat, in terms of its relationship with metabolic syndrome and incident hypertension. Retroperitoneal fat area should be included in the measurement of visceral fat for cardio-metabolic studies in human.


Subject(s)
Abdominal Fat/anatomy & histology , Body Weights and Measures , Abdominal Fat/metabolism , Abdominal Fat/pathology , Adipokines/metabolism , Adult , Aged , Comorbidity , Female , Humans , Hypertension/epidemiology , Hypertension/etiology , Male , Metabolic Syndrome/epidemiology , Metabolic Syndrome/etiology , Middle Aged , Organ Size , Public Health Surveillance , Risk Factors , Tomography, X-Ray Computed
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