Work-related injuries and illnesses among kitchen workers at two major students' hostels.

Background: Kitchen workers face a disproportionately high risk of injuries and illnesses. Yet, despite the ubiquity of kitchen-related injuries, there has been a relative lack of comprehensive research on this topic, particularly in developing countries. Ain Shams University, as a prestigious educational institution with its diverse kitchen staff, provides an ideal setting for studying the challenges faced in professional kitchens.

Age-Related Macular Degeneration in Patients with Androgenetic Alopecia: Could the Monocyte/HDL Ratio Be the Link?

Introduction: Both Androgenetic alopecia (AGA) and age-related macular degeneration (AMD) shared the microinflammatory milieu and increased oxidative stress as important criteria in their pathogenesis. The monocyte/high density lipoprotein (HDL) ratio (MHR) seems to be an easy-to-calculate prognostic marker of microinflammation.

Objectives: To assess MHR in patients with AGA and its correlation to AMD in these patients, if any.

Frequency and risk factors of musculoskeletal disorders among kitchen workers.

Background: Kitchen work is associated with exposure to heavy workload which has been linked to work-related musculoskeletal disorders (WRMSDs) and many other occupational hazards. This study aimed to measure the frequency of WRMSDs related to working in kitchens of two major Egyptian students' hostels, to determine the associated risk factors, and determine the distribution of musculoskeletal problems in various joints in different job categories.

Methods: A cross-sectional analytical study was carried out among 128 kitchen workers of two major students' hostels in Cairo, Egypt.

Introducing an adolescent cognitive maturity index.

Children show substantial variation in the rate of physical, cognitive, and social maturation as they traverse adolescence and enter adulthood. Differences in developmental paths are thought to underlie individual differences in later life outcomes, however, there remains a lack of consensus on the normative trajectory of cognitive maturation in adolescence. To address this problem, we derive a Cognitive Maturity Index (CMI), to estimate the difference between chronological and cognitive age predicted with latent factor estimates of inhibitory control, risky decision-making and emotional processing measured with standard neuropsychological instruments.