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Updated: Jan 23, 2026

Author Spotlight: Assessing the Cardiovascular Profile of Patients with Metabolic Syndrome
Published on: September 27, 2024
Risk stratification among metabolically unhealthy obese in independent physically inactive aged women
Nermien Naim Adly1, Wafaa Mostafa Abd-El-Gawad1
1Geriatrics and Gerontology Department, Faculty of Medicine, Ain Shams University, Cairo, Egypt.
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 R2 compared to linear adiponectin level (R2 = 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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