AI Article Synopsis

  • The study examined health and fitness changes in firefighter recruits from training at fire academies to their initial probationary period.
  • Significant improvements were observed in recruits' body fat percentage and push-up capacity during training, although blood pressure increased.
  • After graduation, most fitness gains declined and unhealthy lifestyle habits, like increased screen time, contributed to higher blood pressure among recruits during their probationary period.

Article Abstract

Purpose: This study aimed to investigate changes in firefighter recruits' select health and fitness measurements, from academy training to the early probationary firefighter period.

Methods: Firefighter recruits from two New England fire academies were followed up prospectively from enrollment at the academy to graduation after 15- to 16-wk training programs, and then for an average of 8 months as probationary firefighters. The participants' demographic, lifestyle, and mental health information was collected using a questionnaire. Body mass index, percent body fat, blood pressure, and push-ups were also measured at each time point. Furthermore, the academies tested the recruits on selected fitness measures (push-ups, pull-ups, and 1.5-mile running time) at academy entry, midtraining, and at graduation.

Results: Ninety-two recruits consented and were included in the analyses. The recruits' percent body fat significantly decreased (median, 21.0%-18.2%) from baseline to graduation, and push-up capacity significantly improved (median, 34-53 per minute) in the same period, along with pull-ups and 1.5-mile running time. However, the recruits' blood pressure, both systolic and diastolic, increased significantly by an average of 3 mm Hg during the training. Those completing probationary follow-up (45/92 recruits) showed that most health/fitness improvements declined after graduation. From academy graduation to probationary follow-up, recruits' physical activity decreased and TV screen time increased significantly, leading to a lower healthy lifestyle score (median, 4-3). After multivariate adjustments, the recruits' diastolic blood pressure increased by 2 mm Hg per measuring time throughout the study period.

Conclusions: Fire academy training improved recruits' select health and fitness measurements, but the benefits dissipated as probationary firefighters, and blood pressures increased throughout the study period. Further interventions regarding blood pressure and to maintain training benefits after joining fire departments are warranted.

Download full-text PDF

Source
http://dx.doi.org/10.1249/MSS.0000000000002533DOI Listing

Publication Analysis

Top Keywords

blood pressure
16
academy training
12
health fitness
12
fitness measurements
12
fire academy
8
probationary firefighter
8
recruits' select
8
select health
8
academy graduation
8
probationary firefighters
8

Similar Publications

The accurate non-invasive detection and estimation of central aortic pressure waveforms (CAPW) are crucial for reliable treatments of cardiovascular system diseases. But the accuracy and practicality of current estimation methods need to be improved. Our study combines a meta-learning neural network and a physics-driven method to accurately estimate CAPW based on personalized physiological indicators.

View Article and Find Full Text PDF

Background: Use of health applications (apps) to support healthy lifestyles has intensified. Different app features may support effectiveness, including gamification defined as the use of game elements in a non-game situation. Whether health apps with gamification can impact behaviour change and cardiometabolic risk factors remains unknown.

View Article and Find Full Text PDF

Machine learning applications in healthcare clinical practice and research.

World J Clin Cases

January 2025

Department of Gastroenterology, Laiko General Hospital, National and Kapodistrian University of Athens, Athens 11527, Greece.

Machine learning (ML) is a type of artificial intelligence that assists computers in the acquisition of knowledge through data analysis, thus creating machines that can complete tasks otherwise requiring human intelligence. Among its various applications, it has proven groundbreaking in healthcare as well, both in clinical practice and research. In this editorial, we succinctly introduce ML applications and present a study, featured in the latest issue of the .

View Article and Find Full Text PDF

Introduction: Self-care practices are crucial for optimizing blood pressure control and are influenced by multilevel factors.

Objective: To examine the influences of multilevel factors on hypertension self-care practices among individuals with uncontrolled hypertension and to determine the relationship between hypertension self-care practices and blood pressure.

Methods: The study was conducted in primary, secondary, and tertiary care settings in Bangkok, selected for convenience, where individuals with uncontrolled hypertension were recruited using a convenience sampling method based on specific inclusion criteria.

View Article and Find Full Text PDF

Background: Medroxyprogesterone acetate (MPA), a synthetic progestogen, is extensively used for the treatment of various conditions, including contraception, irregular menstruation, functional uterine bleeding, and endometriosis. However, like all pharmaceutical agents, MPA is associated with adverse drug reactions. This study aimed to evaluate the adverse events (AEs) associated with MPA in by analyzing real-world data from the U.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!