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Related Concept Videos

Pulmonary Function Tests01:25

Pulmonary Function Tests

422
Pulmonary Function Tests (PFTs)
Pulmonary Function Tests are crucial diagnostic tools for assessing respiratory function, particularly in patients with chronic respiratory disorders. They comprehensively evaluate lung volumes, ventilatory function, breathing mechanics, diffusion, and gas exchange. These tests help diagnose pulmonary diseases and play a significant role in monitoring disease progression, evaluating disability, and assessing response to therapy.
PFTs involve using a spirometer, a...
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Lung Capacity01:47

Lung Capacity

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The air in the lungs is measured in volumes and capacities. Lung volume measures reflect the amount of air taken in, released, or left over after a lung function, like a single inhalation. Lung capacity measures are sums of two or more lung volume measures.
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Factors Affecting Pulmonary Ventilation01:19

Factors Affecting Pulmonary Ventilation

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Besides the pressure difference between the external environment and the lungs, the airflow rate and ease of pulmonary ventilation are also influenced by three other factors: surface tension of the fluid in the alveoli, compliance of the lungs, and airway resistance.
Alveolar Surface Tension
The alveolar fluid lines the luminal surface of the alveoli and exerts a force called surface tension. This force is caused by the polar water molecules in the liquid being more strongly attracted to each...
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Respiratory Capacities01:24

Respiratory Capacities

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Respiratory capacities are crucial indicators of lung function, representing the maximum amount of air an individual's respiratory system can handle during various breathing phases.
One key metric is the Inspiratory Capacity (IC), which represents the maximum amount of air that can be inhaled with full effort. IC is calculated by summing the tidal volume and inspiratory reserve volume, typically ranging from 2.4 to 3.6 liters.
The Functional Residual Capacity (FRC) represents the air in the...
876
Statistical Methods for Analyzing Epidemiological Data01:25

Statistical Methods for Analyzing Epidemiological Data

489
Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:
489

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Related Experiment Video

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A Multimodal Imaging Approach Based on Micro-CT and Fluorescence Molecular Tomography for Longitudinal Assessment of Bleomycin-Induced Lung Fibrosis in Mice
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Longitudinal lung function in urban firefighters: A group-based multi-trajectory modelling approach.

Catherine Pendergrast1, Terry Boyle2, Alan J Crockett3

  • 1Innovation, Implementation and Clinical Translation in Health (IIMPACT) Research Concentration, University of South Australia, Adelaide, South Australia, Australia.

Respirology (Carlton, Vic.)
|September 30, 2022
PubMed
Summary

Firefighter lung function trajectories vary, with some showing decline. Body mass index and respiratory conditions, not smoking or job factors, influenced these lung function paths.

Keywords:
firefightergroup-based multi-trajectory modellinglongitudinal studiesoccupational exposurespirometry

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Area of Science:

  • Occupational Health
  • Pulmonary Medicine
  • Epidemiology

Background:

  • Firefighters face physical and chemical hazards impacting lung health.
  • The long-term effects of chronic exposure and acute insults on firefighter spirometry are not well understood.

Purpose of the Study:

  • To identify distinct spirometry trajectories in firefighters.
  • To investigate associations between these trajectories and demographic, lifestyle, and occupational factors.

Main Methods:

  • Utilized group-based multi-trajectory modeling (GBMTM) on six waves of data from South Australian Metropolitan Fire Service Study (2007-2019).
  • Analyzed spirometry parameters including Forced Expiratory Volume in 1 second (FEV1) and Forced Vital Capacity (FVC) z-scores.
  • Assessed differences in baseline characteristics across identified trajectory groups using ANOVA and chi-square tests.

Main Results:

  • Identified five distinct spirometry trajectories (three stable, two declining) among 669 firefighters.
  • Found significant associations between trajectory group membership and body mass index (BMI) and respiratory health.
  • No significant differences were observed in relation to years of service, respiratory protection use, or smoking history.

Conclusions:

  • Group-based multi-trajectory modeling effectively defined distinct spirometry trajectories in firefighters.
  • Lung function trajectories are linked to BMI and respiratory conditions, but not traditional occupational or smoking factors.