Metabolic syndrome is a collection of health-related conditions that lead to serious health
condition. An individual with metabolic syndrome may acquire greater risk for adult-onset …

Dimensionality reduction approaches are commonly used for the deconvolution of high-
dimensional metabolomics datasets into underlying core metabolic processes. However …

Correlation networks are frequently used to statistically extract biological interactions
between omics markers. Network edge selection is typically based on the statistical …

Background and Aim: Nurses are the principal oral healthcare providers for hospitalized
patients. The purpose of this study was to assess the knowledge, attitudes, and practices of …

Background Metabolic syndrome comprises various conditions like abdominal obesity,
insulin resistance, elevated triglyceride levels, reduced HDL, and high blood pressure …

The risk of metabolic syndrome (MetS) has been attributed to antipsychotic use in psychiatric
patients. To date, there is limited data on the relationship between antipsychotic …

This study aimed to assess the differential effects of first-generation (FGA) and second-
generation antipsychotics (SGA) on the prevalence of risk factors for metabolic syndrome …

Objective: To optimize the early diagnosis of glucose metabolism impairments in patients
with psychiatric disorders treated with antipsychotic medications. Methodology: This is a …

ABSTRACT BACKGROUND: Patients with psychiatric illness are more prone to develop
obesity and dental caries due to general self-negligence associated with psychiatric illness …

Introduction There is substantial evidence that people with mental illness have higher
mortality rates than the general population. However, most of the studies were from Western …