AIM:To assess the associations between the body adiposity indices and risk of metabolic syndrome (MS) and its components in Egyptian women and to evaluate their predictive power.MATERIALS AND METHODS:This was a cross-sectional analysis performed on 180 Egyptian women aged between 25-35 years. They were 90 women with MS diagnosed by International Diabetes Federation (IDF) and 90 healthy age matched controls. Body adiposity index (BAI), body mass index (BMI), waist to hip ratio (WHR) and waist to height ratio (WHtR) were calculated and serum samples were analyzed for metabolic parameters. Receiver operating characteristic curves (ROC) was used to determine the discriminatory capacity of BAI, WHR WHtR and BMI for MS.RESULTS:Area under the curve (AUC) was highest for BIA, followed by WHR, WHtR and then BMI. All adiposity indices were significantly correlated with metabolic components and BAI had the highest correlation coefficients compared to other indices.CONCLUSION:BAI is a practical predictor for MS and has satisfactory diagnostic accuracy for diagnosing MS among Egyptian women and can be used in addition to WHR, WHtR and BMI for identifying MS in the field studies.
Background
Down syndrome (DS) is characterized by variable degrees of intellectual disability (ID). The coronavirus disease-2019 (COVID-19) lockdown prevented children with DS from reaching their rehabilitation facilities. This could have led to deterioration of their abilities and mental health hazards. The aim of this cohort study was to investigate frequency of COVID-19, the influence of COVID-19 pandemic on health, and some abilities of children with DS, and to explore factors that could have governed receiving home-based training during the lockdown. A survey of 150 individuals with Down syndrome was answered by their caregivers. Additionally, 135 participants were subjected to assessment of cognitive, language, and motor abilities using Portage program. They were divided into 2 groups: group I who received online therapy sessions during the lockdown and group II who did not receive sessions. Logistic regression was used to determine the factors which influenced getting home-based training.
Results
The percentage of COVID-19 cases was 3.3%. All evaluated abilities were reduced despite receiving online sessions particularly language performance (P < 0.001). Male gender, having severe ID and low parental education were among the factors which encouraged parents to get virtual training.
Conclusion
COVID-19 pandemic had a negative impact on the abilities of DS children even those who got rehabilitation sessions. Their dependence on social interaction could have limited the benefit of virtual sessions. Factors that influence a parent’s decision to get home-based training should be monitored and targeted in order to overcome obstacles or concepts that may prevent families from enduring home-based intervention.
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