Effect on Markers of Cardiovascular, Reproductive and Cancer Risk From Firefighting Training
BIOBRAND3
4 other identifiers
interventional
35
1 country
2
Brief Summary
Epidemiological studies based on Danish registries have observed that Danish male firefighters have more cardiovascular disease, infertility diagnose and a trend to increased risk of cancer than other Danish employed males. Firefighting activities include a combination of stressors such as strenuous work under heat, smoke and soot known to be able to affect cardiovascular and reproductive health, with smoke and soot also being known to increase the risk of cancer. The training facilities of real-fire extinguishing exercises in Denmark operate using wood or natural gas fire, which will have differential gradients of smoke, soot and possibly heat. The investigators will use different training conditions to create gradients of the different stressors and investigate health effects thereof. With this approach, the investigators expect to be able to evaluate the individual contribution of the different stressors in markers of cardiovascular, cancer and reproductive health risk. The project will include approx. 35 young conscript participants on a firefighting course, followed in four sessions, three firefighting training sessions under different fire conditions (no fire, wood fire and gas fire) and one control scenario.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P25-P50 for not_applicable
Started Mar 2023
2 active sites
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
February 2, 2023
CompletedFirst Posted
Study publicly available on registry
March 3, 2023
CompletedStudy Start
First participant enrolled
March 10, 2023
CompletedPrimary Completion
Last participant's last visit for primary outcome
July 5, 2024
CompletedStudy Completion
Last participant's last visit for all outcomes
July 5, 2024
CompletedAugust 6, 2025
July 1, 2025
1.3 years
February 2, 2023
August 1, 2025
Conditions
Keywords
Outcome Measures
Primary Outcomes (16)
Change in reactive hyperemia index - afternoon
Reactive hyperemia index (RHI) measured with the device EndoPAT 2000. A reactive hyperemia is induced by a blood cuff on the upper arm and the peripheral vasodilation response is assessed in the small digital vessels of a fingertip with a portable device connected to a computer, with RHI determined by an algorithm from the device, with lower index values corresponding to a worsen situation.
Baseline afternoon measurement, afternoon measurement immediately after firefighting without fire, afternoon measurement immediately after firefighting under wood fire and afternoon measurements immediately after firefighting under gas fire
Change in reactive hyperemia index - morning
Reactive hyperemia index (RHI) measured with the device EndoPAT 2000. A reactive hyperemia is induced by a blood cuff on the upper arm and the peripheral vasodilation response is assessed in the small digital vessels of a fingertip with a portable device connected to a computer, with RHI determined by an algorithm from the device, with lower index values corresponding to a worsen situation.
Baseline morning measurement, morning measurement in subsequent day after firefighting without fire, morning measurement in subsequent day after firefighting under wood fire and morning measurement in subsequent day after firefighting under gas fire
Change in Heart Rate Variability pNN50 at rest - afternoon
Heart rate variability (HRV) measured with the device EndoPAT 2000. The HRV is calculated using the initial 5.5 complete minutes before the cuff is applied. pNN50 is the proportion of successive NN intervals differing by more than 50 milliseconds divided by the total number of N intervals (given in percentage).
Baseline afternoon measurement, afternoon measurement immediately after firefighting without fire, afternoon measurement immediately after firefighting under wood fire and afternoon measurements immediately after firefighting under gas fire
Change in Heart Rate Variability pNN50 at rest - morning
Heart rate variability (HRV) measured with the device EndoPAT 2000. The HRV is calculated using the initial 5.5 complete minutes before the cuff is applied. pNN50 is the proportion of successive NN intervals differing by more than 50 milliseconds divided by the total number of N intervals (given in percentage).
Baseline morning measurement, morning measurement in subsequent day after firefighting without fire, morning measurement in subsequent day after firefighting under wood fire and morning measurement in subsequent day after firefighting under gas fire
Change in Heart Rate Variability RMSSD at rest - afternoon
Heart rate variability (HRV) measured with the device EndoPAT 2000. The HRV is calculated using the initial 5.5 complete minutes before the cuff is applied. RMSSD is the square root of the mean squared differences of successive NN intervals (given in milliseconds)
Baseline afternoon measurement, afternoon measurement immediately after firefighting without fire, afternoon measurement immediately after firefighting under wood fire and afternoon measurements immediately after firefighting under gas fire
Change in Heart Rate Variability RMSSD at rest - morning
Heart rate variability (HRV) measured with the device EndoPAT 2000. The HRV is calculated using the initial 5.5 complete minutes before the cuff is applied. RMSSD is the square root of the mean squared differences of successive NN intervals (given in milliseconds)
Baseline morning measurement, morning measurement in subsequent day after firefighting without fire, morning measurement in subsequent day after firefighting under wood fire and morning measurement in subsequent day after firefighting under gas fire
Change in Heart Rate Variability ratio LF/HF at rest - afternoon
Heart rate variability (HRV) measured with the device EndoPAT 2000. The HRV is calculated using the initial 5.5 complete minutes before the cuff is applied. Ratio of low frequency and high frequency bands
Baseline afternoon measurement, afternoon measurement immediately after firefighting without fire, afternoon measurement immediately after firefighting under wood fire and afternoon measurements immediately after firefighting under gas fire
Change in Heart Rate Variability ratio LF/HF at rest - morning
Heart rate variability (HRV) measured with the device EndoPAT 2000. The HRV is calculated using the initial 5.5 complete minutes before the cuff is applied. Ratio of low frequency and high frequency bands
Baseline morning measurement, morning measurement in subsequent day after firefighting without fire, morning measurement in subsequent day after firefighting under wood fire and morning measurement in subsequent day after firefighting under gas fire
Changes in levels of 8-oxodG excretion in first morning urine
Oxidized nucleobase 8-oxodG will be measured in urine samples by High-performance liquid chromatography (HPLC) as marker of oxidative stress, together with creatinine, for adjusting for urine concentration. Data will be reported as nanomol 8-oxodG per millimol creatinine.
Baseline, before firefighting without fire, day after firefighting without fire, before firefighting under wood fire, day after firefighting under wood fire, before firefighting under gas fire, day after firefighting under gas fire
Changes in levels of DNA strand breaks in peripheral blood mononuclear cells
DNA strand breaks will be measured by comet assay, and reported as number of lesions per 10\^6 base pairs, transformed from percentage of DNA in tail using the calibration curve from the well-establish relationship between ionizing radiation dose and yield of strand breaks in DNA.
Baseline, before firefighting without fire, day after firefighting without fire, before firefighting under wood fire, day after firefighting under wood fire, before firefighting under gas fire, day after firefighting under gas fire
Changes in core temperature
Core body temperature will be assessed by an ingestible pill thermometer with data recorded and reported as time series during the period in transit.
Baseline day, during the day of firefighting without fire, during the day of firefighting under wood fire and during the day of firefighting under gas fire.
Changes in scrotal temperature
Scrotal temperature will be assessed by skin sensor placed in the scrotum of male participants and reported as scrotal skin temperature time series.
Baseline day, during the day of firefighting without fire, during the day of firefighting under wood fire and during the day of firefighting under gas fire.
Changes in scrotal thermoregulation
Core body temperature will be assessed by an ingestible pill thermometer and scrotal temperature will be assessed by skin sensor placed in the scrotum of male participants, to assess the thermoregulation of the scrotum during firefighting exercises. Time series of core body temperature and scrotal skin temperature will be analysed for eventual thermoregulation disruption.
Baseline day, during the day of firefighting without fire, during the day of firefighting under wood fire and during the day of firefighting under gas fire.
Changes in levels of circulating micro RNA
Circulating micro RNA candidates will be measured by RNA extraction from serum samples, reverse transcribed into complementary DNA (cDNA) and analysed with quantitative polymerase chain reaction (qPCR).
Baseline, before firefighting without fire, day after firefighting without fire, before firefighting under wood fire, day after firefighting under wood fire, before firefighting under gas fire, day after firefighting under gas fire
Changes in urinary potency of AhR activation
The aryl hydrocarbon receptor (AhR) activation will be assessed in vitro using urine samples on the PAH CALUX (Chemical Activated LUciferase gene eXpression bioassay) reporter assay. The smoke and soot exposures are complex mixtures of compounds with potential toxic effect. Routine measurements of PAHs are usually quantified for a target list of 16 common soot elements and even less chemical species for urinary metabolites, but many other compounds are present in both soot and metabolites mixtures. The toxicity of PAHs is primarily caused through the binding to AhR, and induction of AhR related genes and subsequent toxic pathways. The outcome will be measured in the form of benzo\[a\]pyrene equivalence.
Baseline, before firefighting without fire, day after firefighting without fire, before firefighting under wood fire, day after firefighting under wood fire, before firefighting under gas fire, day after firefighting under gas fire
Changes in potency of AhR activation from skin deposits
The aryl hydrocarbon receptor (AhR) activation will be assessed in vitro using wipe samples on the PAH CALUX (Chemical Activated LUciferase gene eXpression bioassay) reporter assay. The smoke and soot exposures are complex mixtures of compounds with potential toxic effect. Routine measurements of PAHs are usually quantified for a target list of 16 common soot elements, but many other compounds are present in soot mixtures. The toxicity of PAHs is primarily caused through the binding to AhR, and induction of AhR related genes and subsequent toxic pathways. The outcome will be measured in the form of benzo\[a\]pyrene equivalence.
Baseline, before firefighting without fire, immediately after firefighting without fire, before firefighting under wood fire, immediately after firefighting under wood fire, before firefighting under gas fire, immediately after firefighting under gas
Secondary Outcomes (10)
Changes in levels of follicle-stimulating hormone in serum
Baseline, before firefighting without fire, day after firefighting without fire, before firefighting under wood fire, day after firefighting under wood fire, before firefighting under gas fire, day after firefighting under gas fire
Changes in levels of serum inhibin B
Baseline, before firefighting without fire, day after firefighting without fire, before firefighting under wood fire, day after firefighting under wood fire, before firefighting under gas fire, day after firefighting under gas fire
Changes in urinary levels of PAH metabolites excretion
Baseline, before firefighting without fire, day after firefighting without fire, before firefighting under wood fire, day after firefighting under wood fire, before firefighting under gas fire, day after firefighting under gas fire
Changes in levels of PAHs in skin wipes from the neck
Baseline, before firefighting without fire, immediately after firefighting without fire, before firefighting under wood fire, immediately after firefighting under wood fire, before firefighting under gas fire, immediately after firefighting under gas
Changes in FEV1 spirometric measurements
Baseline, immediately after firefighting without fire, immediately after firefighting under wood fire and immediately after firefighting under gas fire
- +5 more secondary outcomes
Study Arms (4)
Baseline session
NO INTERVENTIONBaseline measurements will be performed in the same schedule as measurements in the three other arms. In the baseline session, participants are in classroom before starting any firefighting exercise
Firefighting exercises without fire
EXPERIMENTALFirefighting equivalent work, with exercises performed in a clean environment, without fire (no ambient temperature, soot or smoke). This type of exercise usually precedes or complements the training under real fire conditions.
Firefighting under wood fire
EXPERIMENTALFirefighting under wood fire, with exposure to ambient heat, smoke and soot. This is the most common training scenario used in the training centres. The participants will be in teams performing pre-defined tasks (knocking down the fire, moving heavy objects, and searching and rescuing metal stand in models
Firefighting under gas fire
EXPERIMENTALFirefighting under gas fire, with exposure to ambient heat, and expectably less smoke and soot than with wood fire. These conditions are used in some Danish training centres, with logistical advantages (ease of turning or putting out the fire and managing the fire fuel) and unknown effect relating to exposure prevention (smoke and soot). The participants will be in teams performing pre-defined tasks (knocking down the fire, moving heavy objects, and searching and rescuing metal stand in models
Interventions
The participants will be performing firefighting equivalent work in a clean environment, without fire (no ambient temperature, soot or smoke).
The participants will be in teams performing pre-defined tasks (knocking down the fire, moving heavy objects, and searching and rescuing metal stand in models), under wood fire conditions.
The participants will be in teams performing pre-defined tasks (knocking down the fire, moving heavy objects, and searching and rescuing metal stand in models), under gas fire conditions.
Eligibility Criteria
You may qualify if:
- legally competent,
- conscript subjects following a Rescue Specialist Educational course
You may not qualify if:
- current smoking status,
- pregnancy,
- on prescribed medication,
- body mass index (BMI) bellow 19 or over 30,
- alcohol or drug abuse.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- National Research Centre for the Working Environment, Denmarklead
- University of Copenhagencollaborator
- University Hospital Bispebjerg and Frederiksbergcollaborator
- Rigshospitalet, Denmarkcollaborator
Study Sites (2)
The National Research Centre for the Working Environment
Copenhagen, 2100, Denmark
Maria Helena Guerra Andersen
København Ă˜, 4700, Denmark
Related Publications (18)
Andersen MHG, Saber AT, Pedersen PB, Loft S, Hansen AM, Koponen IK, Pedersen JE, Ebbehoj N, Norskov EC, Clausen PA, Garde AH, Vogel U, Moller P. Cardiovascular health effects following exposure of human volunteers during fire extinction exercises. Environ Health. 2017 Sep 6;16(1):96. doi: 10.1186/s12940-017-0303-8.
PMID: 28877717BACKGROUNDAndersen MHG, Saber AT, Clausen PA, Pedersen JE, Lohr M, Kermanizadeh A, Loft S, Ebbehoj N, Hansen AM, Pedersen PB, Koponen IK, Norskov EC, Moller P, Vogel U. Association between polycyclic aromatic hydrocarbon exposure and peripheral blood mononuclear cell DNA damage in human volunteers during fire extinction exercises. Mutagenesis. 2018 Feb 24;33(1):105-115. doi: 10.1093/mutage/gex021.
PMID: 29045708BACKGROUNDAndersen MHG, Saber AT, Pedersen JE, Pedersen PB, Clausen PA, Lohr M, Kermanizadeh A, Loft S, Ebbehoj NE, Hansen AM, Kalevi Koponen I, Norskov EC, Vogel U, Moller P. Assessment of polycyclic aromatic hydrocarbon exposure, lung function, systemic inflammation, and genotoxicity in peripheral blood mononuclear cells from firefighters before and after a work shift. Environ Mol Mutagen. 2018 Jul;59(6):539-548. doi: 10.1002/em.22193. Epub 2018 May 15.
PMID: 29761929BACKGROUNDAndersen MHG, Saber AT, Frederiksen M, Clausen PA, Sejbaek CS, Hemmingsen CH, Ebbehoj NE, Catalan J, Aimonen K, Koivisto J, Loft S, Moller P, Vogel U. Occupational exposure and markers of genetic damage, systemic inflammation and lung function: a Danish cross-sectional study among air force personnel. Sci Rep. 2021 Sep 9;11(1):17998. doi: 10.1038/s41598-021-97382-5.
PMID: 34504215BACKGROUNDBeitel SC, Flahr LM, Hoppe-Jones C, Burgess JL, Littau SR, Gulotta J, Moore P, Wallentine D, Snyder SA. Assessment of the toxicity of firefighter exposures using the PAH CALUX bioassay. Environ Int. 2020 Feb;135:105207. doi: 10.1016/j.envint.2019.105207. Epub 2019 Dec 4.
PMID: 31812113BACKGROUNDHenriksen T, Weimann A, Larsen EL, Poulsen HE. Quantification of 8-oxo-7,8-dihydro-2'-deoxyguanosine and 8-oxo-7,8-dihydro-guanosine concentrations in urine and plasma for estimating 24-h urinary output. Free Radic Biol Med. 2021 Aug 20;172:350-357. doi: 10.1016/j.freeradbiomed.2021.06.014. Epub 2021 Jun 22.
PMID: 34166769BACKGROUNDHjollund NH, Storgaard L, Ernst E, Bonde JP, Olsen J. Impact of diurnal scrotal temperature on semen quality. Reprod Toxicol. 2002 May-Jun;16(3):215-21. doi: 10.1016/s0890-6238(02)00025-4.
PMID: 12128094BACKGROUNDJung A, Schuppe HC. Influence of genital heat stress on semen quality in humans. Andrologia. 2007 Dec;39(6):203-15. doi: 10.1111/j.1439-0272.2007.00794.x.
PMID: 18076419BACKGROUNDKales SN, Soteriades ES, Christophi CA, Christiani DC. Emergency duties and deaths from heart disease among firefighters in the United States. N Engl J Med. 2007 Mar 22;356(12):1207-15. doi: 10.1056/NEJMoa060357.
PMID: 17377158BACKGROUNDKeir JLA, Akhtar US, Matschke DMJ, Kirkham TL, Chan HM, Ayotte P, White PA, Blais JM. Elevated Exposures to Polycyclic Aromatic Hydrocarbons and Other Organic Mutagens in Ottawa Firefighters Participating in Emergency, On-Shift Fire Suppression. Environ Sci Technol. 2017 Nov 7;51(21):12745-12755. doi: 10.1021/acs.est.7b02850. Epub 2017 Oct 18.
PMID: 29043785BACKGROUNDKumar K, Trzybulska D, Tsatsanis C, Giwercman A, Almstrup K. Identification of circulating small non-coding RNAs in relation to male subfertility and reproductive hormones. Mol Cell Endocrinol. 2019 Jul 15;492:110443. doi: 10.1016/j.mce.2019.05.002. Epub 2019 May 8.
PMID: 31077744BACKGROUNDMorup N, Rajpert-De Meyts E, Juul A, Daugaard G, Almstrup K. Evaluation of Circulating miRNA Biomarkers of Testicular Germ Cell Tumors during Therapy and Follow-up-A Copenhagen Experience. Cancers (Basel). 2020 Mar 23;12(3):759. doi: 10.3390/cancers12030759.
PMID: 32210101BACKGROUNDPedersen JE, Ugelvig Petersen K, Ebbehoj NE, Bonde JP, Hansen J. Incidence of cardiovascular disease in a historical cohort of Danish firefighters. Occup Environ Med. 2018 May;75(5):337-343. doi: 10.1136/oemed-2017-104734. Epub 2018 Jan 26.
PMID: 29374097BACKGROUNDPetersen KU, Hansen J, Ebbehoej NE, Bonde JP. Infertility in a Cohort of Male Danish Firefighters: A Register-Based Study. Am J Epidemiol. 2019 Feb 1;188(2):339-346. doi: 10.1093/aje/kwy235.
PMID: 30452532BACKGROUNDKirstine Ugelvig Petersen K, Pedersen JE, Bonde JP, Ebbehoej NE, Hansen J. Long-term follow-up for cancer incidence in a cohort of Danish firefighters. Occup Environ Med. 2018 Apr;75(4):263-269. doi: 10.1136/oemed-2017-104660. Epub 2017 Oct 21.
PMID: 29055884BACKGROUNDPieterse B, Felzel E, Winter R, van der Burg B, Brouwer A. PAH-CALUX, an optimized bioassay for AhR-mediated hazard identification of polycyclic aromatic hydrocarbons (PAHs) as individual compounds and in complex mixtures. Environ Sci Technol. 2013 Oct 15;47(20):11651-9. doi: 10.1021/es403810w. Epub 2013 Sep 25.
PMID: 23987121BACKGROUNDSchwartz C, Bolling AK, Carlsten C. Controlled human exposures to wood smoke: a synthesis of the evidence. Part Fibre Toxicol. 2020 Oct 2;17(1):49. doi: 10.1186/s12989-020-00375-x.
PMID: 33008417BACKGROUNDAlhamdow A, Lindh C, Albin M, Gustavsson P, Tinnerberg H, Broberg K. Early markers of cardiovascular disease are associated with occupational exposure to polycyclic aromatic hydrocarbons. Sci Rep. 2017 Aug 25;7(1):9426. doi: 10.1038/s41598-017-09956-x.
PMID: 28842704BACKGROUND
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Maria Helena G Andersen, PhD
The National Research Centre for the Working Environment (NRCWE)
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- SINGLE
- Who Masked
- OUTCOMES ASSESSOR
- Masking Details
- It is not possible to blind the participants to the different scenarios, neither the field staff, but all the samples will be blinded for the subsequent laboratory analysis, namely blood analysis, urine analysis, wipe samples analysis will all be blinded.
- Purpose
- BASIC SCIENCE
- Intervention Model
- CROSSOVER
- Sponsor Type
- OTHER GOV
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Researcher
Study Record Dates
First Submitted
February 2, 2023
First Posted
March 3, 2023
Study Start
March 10, 2023
Primary Completion
July 5, 2024
Study Completion
July 5, 2024
Last Updated
August 6, 2025
Record last verified: 2025-07
Data Sharing
- IPD Sharing
- Will not share
Supportive information and fully anonymized information will be shared and whenever possible (in supplementary material) published along with the results, but following European Union General Data Protection Regulation (GDPR) and Danish rules, no non or pseudo anonymized data might be shared.