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. 2021 Jan-Mar;104(1):36850421998532.
doi: 10.1177/0036850421998532.

Adiposity and Cardiometabolic Risk assessment Among University Students in Saudi Arabia

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Adiposity and Cardiometabolic Risk assessment Among University Students in Saudi Arabia

Waleed Albaker et al. Sci Prog. 2021 Jan-Mar.

Abstract

Overweight and obesity have become a significant health hazard among adolescents on account of quick growth in its occurrence rate and its common comorbidities like cardiometabolic disease (CMD). The aim of this study was to evaluate the prevalence of adiposity and assess the risk of CMD among university students in Eastern Province, Saudi Arabia. A cross-sectional study was conducted during the academic year 2017-2018, in a sample of 310 subjects (127 males; 183 females). The measurements were taken using standardized instruments including Body Mass Index (BMI), Fat Mass Index (FMI), Body Fat Percentage BFP), Mass of Body Fat (MBF), Visceral Fat Area (VFA), Waist Circumference (WC), and Waist to Hip Ratio (WHR). Moreover, CMD risk indicators were calculated by Conicity index (C index), WC, and WHR. The findings showed that the majority was overweight and obese (16.8% and 21.6%, respectively). While evaluating obesity indicators, males were found to have higher adiposity (obese students 34.6%) compared to female students (12.6%; p < 0.001). Additionally, FMI showed that the mean was significantly higher among males (8.65 ± 6.06) compared to females (7.26 ± 3.30; p < 0.019). Analysis of the predictors' indices for cardiometabolic risk score highlighted a significantly higher percentage of WC, WHR, and C index among male students (50, 38.5, 59) compared to females (16.9, 14.2, 34; p < 0.001). Significant positive correlations were observed between C index quartiles and BMI with the other cardiometabolic indices (p < 0.001). This study highlighted a high prevalence of adiposity and CMD risk among university students. The prediction of CMD in early age is quite helpful in preventing adiposity related health issues. Decision makers need to spread awareness about healthy consumption as well as the relationship between physical inactivity and chronic diseases.

Keywords: Overweight; adiposity indicators; cardiometabolic disease; conicity index; obesity.

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Conflict of interest statement

The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Figures

Figure 1.
Figure 1.
Pearson correlation coefficient of gender differences, according to quartiles of C Index. *p < 0.001.
Figure 2.
Figure 2.
Cardiometabolic risk score assessments among participants. Classification according to the recommended cutoff points for increased cardiometabolic risk (female/male) WC score: (<88 cm/<94 cm); WHR score: (≥0.85/≥0.90); C index risk score: (≥1.18/≥1.25): (a) waist circumference (%), (b) waist to hip ratio (%), and (c) conicity index (%).

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