Objectives: To determine whether or not adiponectin levels or basal metabolic rate (BMR) could predict worse risk stratification in patients with insulin resistance (IR) among metabolically healthy and unhealthy obese (MUHO) elderly females with Metabolic syndrome (MetS).
Methods: A cross-sectional survey was conducted on 109 elderly females in geriatric nursing home with MetS. The participants were reclassified according to adiponectin levels and IR.
Results: Group (1) (with IR, n = 41) compared to group (2) (without IR, n = 45) had lower squared adiponectin level and higher fat mass and fat percent (p value = 0.037, 0.030, and 0.035 respectively). Quadratic adiponectin level was an independent predictor for better BMR in group (2) with higher R compared to linear adiponectin level (R = 0.19, 0.15 consecutively, p value = 0.02, 0.008 consecutively) in group (2) rather than group (1). This revealed U-shaped relation between adiponectin level and BMR in group (2). By ROC curve, fat and lean percentages were statically significant predictors of IR between groups (1) and (2) (AUC = 0.643, 0.636; p value = 0.024, 0.032 Sensitivity = 89.2%, 72.97%; and Specificity = 55.1%, 24.48% respectively).
Conclusion: Current findings supported the possibility of risk stratification among MUHO individuals based on IR, squared adiponectin level, lean and fat percentages.
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