ClinicalTrials.gov
public full text
Public Domain
Health, Wellbeing and Performance in Law Enforcement Workers
This study aims to assess current health and fitness of law enforcement workers in various roles, and to evaluate the impact of an exercise intervention on markers on physical and mental wellbeing in this population. The intervention will consist of an exercise programme specifically targeted at improving, physical fitness and reducing musculoskeletal pain. Participants will be randomised to three groups: a face to face intervention group, an online intervention group an a control group. Self-reported physical health, musculoskeletal complaints, quality of sleep and occupational stress will be measured via questionnaires. Pre and post measures of fitness will be measured via functional strength testing and a cardiopulmonary exercise test. Pre and post cognitive function will be measured via computer-based cognitive tests and brain functional near-infrared spectroscopy (fNIRS). Systemic inflammation will be measured via hsCRP. Risk of typeII diabetes will be measured via HbA1c. Daily physical activity and quality of sleep will be measured via accelerometry and heart rate telemetry. It is hypothesised that, upon completion of the programme, there will be an improvement in cardiovascular fitness and physical strength, reduced musculoskeletal pain, improved cognitive readiness and improved overall mental health and wellbeing.
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Development and Validation of a System for the Anticipation of Challenging Behaviors#878973
- Tailored Brain Health Insights Through Nurturing Knowledge-based Change - Stakeholder-driven, Human-centered, AI-powered Refinement for Prevention#1112478
- COVID-19 Health Adjustments in Nutrition, General Wellness, and Exercise#1113915
- Inter-relationships Among Glucose, Brain, Gut Microbiota and MicroRNAs (IRONmiRNA).#1185233
- Test@Work Study: Evaluation of Attitudes and Uptake Within Employee Health Checks in the Construction Industry#877767
Record · ID 1352546
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive