Profiling paramedic job tasks, injuries, and physical fitness: A scoping review.

Introduction: The aim of this review was to identify, collect, appraise, and synthesise research profiling paramedic job tasks, injuries sustained, and current fitness levels, to guide optimal workplace performance and enhance injury mitigation efforts.

Methods: Following the Preferred Reporting Items for Scoping Reviews, four databases (PubMed, SPORTdiscus, CINAHL, and Embase) were searched using key search terms (derivatives of 'paramedic' and 'injury', 'physical fitness' and 'tasks'). Identified records were screened against eligibility criteria with remaining studies critically appraised.

Scenario and Shooting Performance in Incumbent Deputy Sheriffs/Police Officers, Cadets, and Cadets Who Worked in Custody/Corrections Facilities.

Lockie, RG, Young, MA, Lanham, SN, Orr, RM, Dawes, JJ, and Nagel, TR. Scenario and shooting performance in incumbent deputy sheriffs/police officers, cadets, and cadets who worked in custody/corrections facilities. J Strength Cond Res XX(X): 000-000, 2024-Job-specific fitness of law enforcement personnel can decline during their careers.

Regulatory Considerations for Stability Studies of Co-Processed Active Pharmaceutical Ingredient.

A co-processed active pharmaceutical ingredient (CP API) is the combination of an active pharmaceutical ingredient (API) with non-active component(s). This technology has been demonstrated to offer numerous benefits, including but not limited to improved API properties and stability. The infrastructure requirements are such that the manufacture of a CP API is typically best suited for an API facility.

Profiling the Occupational Injuries Sustained by Custody Officers: A Systematic Review.

Background/objectives: Custody officers (CO) are often exposed to workplace hazards when monitoring prisoners, managing prisoners' recreational time, or searching for contraband, yet research into their injuries is limited. This review aimed to identify, appraise, and synthesise research investigating injuries in CO.

Methods: Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses protocol and registration with the Open Science Framework, a systematic search of five databases (PubMed, ProQuest, Embase, CINAHL and SportDiscus) using key search terms was conducted.

Lifestyle factors and other predictors of common mental disorders in diagnostic machine learning studies: A systematic review.

Background: Machine Learning (ML) models have been used to predict common mental disorders (CMDs) and may provide insights into the key modifiable factors that can identify and predict CMD risk and be targeted through interventions. This systematic review aimed to synthesise evidence from ML studies predicting CMDs, evaluate their performance, and establish the potential benefit of incorporating lifestyle data in ML models alongside biological and/or demographic-environmental factors.

Methods: This systematic review adheres to the PRISMA statement (Prospero CRD42023401194).