The Relationship Between Daily Activity Level, Posture Distribution, Stepping Patterns, and Cadence in the BCS70 Cohort.

This study investigated the relationship between stepping-defined daily activity levels, time spent in different postures, and the patterns and intensities of stepping behaviour. Using a thigh-mounted triaxial accelerometer, physical activity data from 3547 participants with seven days of valid data were analysed. We classified days based on step count and quantified posture and stepping behaviour, distinguishing between indoor, community, and recreation stepping.

Boosting Recovery: Omega-3 and Whey Protein Enhance Strength and Ease Muscle Soreness in Female Futsal Players.

Adequate nutrition is crucial for athletes to enhance performance and recovery. This study investigates the acute effects of omega-3 and whey protein supplementation before and after exercise-induced muscle damage (EIMD) on lower-body strength, explosive power, and delayed-onset muscle soreness (DOMS) in female futsal players. A randomized, cross-over, placebo-controlled, double-blind study involved 15 female futsal players (Age: 22.

From Outbreaks to Artificial Intelligence: A Comprehensive Review of Monkeypox Virus Epidemiology, Diagnosis, Treatment, Vaccination, and Deep Learning Applications.

After the global impact of the COVID-19 pandemic, concerns over virus transmission have risen. A state of health emergency was declared in 2022 due to Clade 2 of the monkeypox (MPOX) virus. In August 2024, another emergency was declared by the World Health Organization (WHO) because of the widespread Clade 1b, which caused a more severe and lethal disease.

Does a multimedia education program work as a remedy for stress and burden in family caregivers of elderly heart attack patients? A clinical trial study.

Background: Supportive care has been found to improve quality of life and reduce the disease burden for aging individuals. After a heart attack, elderly patients often require a caregiver. In developing communities, caregiving responsibilities frequently fall on family members.

Predicting Gestational Diabetes Mellitus in the first trimester using machine learning algorithms: a cross-sectional study at a hospital fertility health center in Iran.

Background: Gestational Diabetes Mellitus (GDM) is a common complication during pregnancy. Late diagnosis can have significant implications for both the mother and the fetus. This research aims to create an early prediction model for GDM in the first trimester of pregnancy.