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CompletedNCT04160728Updated Nov 29, 2023

Occupational Heat Stress on Workers' Productivity

An interventional study of Work/ rest scenario and Hydration scenario in Risk of Heat Stress, sponsored by Petros Dinas. Completed at 1 site in Greece. Open to participants aged 18 Years to 75 Years, including healthy volunteers. Per ClinicalTrials.gov, last updated 2023-11-29.

Sponsored by Petros Dinas · Not applicable, Interventional, and Prevention

From the registry’s dates

  • Registered 4 months after the study started (first participant enrolled Jul 2019, registered Nov 2019).
Phase
Not applicable
Study type
Interventional
Enrollment
248
Allocation
Randomized
Ages
18 Years to 75 Years
Sex
All
01

Study summary

Workplace heat exposure affects billions of people during their everyday work activities. Occupational heat stress impairs workers' health and capacity to perform manual labour. Therefore, the aim of this study was to observe the heat strain experienced by workers in occupational settings and test different strategies to mitigate it during actual work shifts in agriculture, manufacture, tourism, construction, and other services.

Read the detailed description

The participants followed the study protocol which included, one work shift of sham measurements, one work shift business as usual and four (4) different scenarios (interventions) on different work shifts. Apart from the sham measurements the rest of the scenarios were tested in a random order for different participants.

  1. Work/ rest scenario: The participants were asked to take planned breaks in the shade during their work shift. The amount of breaks taken ranged between 3 and 10 minutes every hour depending on the current work duties of the employees.
  2. Hydration scenario: The participants were advised (not forced) to drink minimum of 750 ml of water or ice - slushies, every hour during their work shift.
  3. Clothing scenario: The participants were randomly provided with different types of clothing, i.e. white breathable coveralls, ventilated garments and breathable uniform with water submerging parts, to wear during their work shift.
  4. Assisted labor: The participants in agriculture, that were carrying heavy weights were provided with "e-carts" (automated carrying vehicles), during their work shift.

Baseline data [self-reported age; body stature (Seca 213; seca GmbH \& Co. KG; Hamburg, Germany) and body mass (BC1000, Tanita corporation, Tokyo, Japan)] were collected one day prior to the measurements. Medical history of all the participants was recorded. During the field study, continuous heart rate, core temperature and mean skin temperature data were collected using wireless heart rate monitors (Polar Team2. Polar Electro Oy, Kempele, Finland), telemetric capsules (BodyCap, Caen, France), and wireless thermistors (iButtons type DS1921H, Maxim/Dallas Semiconductor Corp., USA), respectively. Skin temperature data were collected from four sites (chest, arm, thigh, and leg) and were expressed as mean skin temperature according to the formula of Ramanathan (Tsk = [0.3(chest + arm) + 0.2(thigh + leg)]). Furthermore, continuous environmental data [air temperature (°C), globe temperature (°C), relative humidity (%), and air velocity (m/s)] were collected using a portable weather station (Kestrel 5400FW, Nielsen-Kellerman, Pennsylvania, USA). Urine samples were collected at the start and the end of the work shift to evaluate the hydration status of each worker. Urine specific gravity was assessed for each urine sample using a refractometer (PAL-10S, ATAGO CO., LTD., Fukaya, Saitama Prefecture, Japan) and was classified as either hydrated (\< 1.020) or dehydrated (≥ 1.020). In addition, urine colour was assessed using a urine color scale. Questionnaires were used to assess workers' perception on exertion (Borg scale), thermal comfort/sensation, humidity comfort/sensation, radiation comfort/sensation, wind speed comfort/sensation, skin wetness, sleepiness, physical demands of the workload. The Heat Strain Score Index (HSSI) was used to assess the perceived heat strain of the workers.

Video cameras installed in close proximity (about 40m) to the workers were used to assessed workers labour effort. Video recordings were analyzed on a second by second basis using time-motion analysis method. Importantly, when video cameras were not feasible to be installed real-time task analysis was used to examine workers capacity for manual labour. For that reason, an android-based application (FAME_TASK App) was used to record the tasks of the workers on a second by second basis. The App was continuously monitoring the work time spent on irregular work breaks (unplanned breaks), the duration of uninterrupted work and the time spent as lunch time or other breaks provided by management (planned breaks). The unplanned break was divided into two categories: the breaks during which the workers decided to rest in the shade (unplanned break under the shade) and the breaks during which the workers chose to stay under the sun (unplanned break under the sun). Also, the uninterrupted work was divided into nine categories: work in an outdoor environment with a low metabolic rate; work in an outdoor environment with a moderate metabolic rate; work in an outdoor environment with a high metabolic rate; work in a mixed (outdoor and indoor) environment with a low metabolic rate; work in a mixed (outdoor and indoor) environment with a moderate metabolic rate; work in a mixed (outdoor and indoor) environment with a high metabolic rate; work in an indoor environment with a low metabolic rate; work in an indoor environment with a moderate metabolic rate; work in an indoor environment with a high metabolic rate. The labor effort (i.e., low / moderate / high metabolic rate) was defined according to the ISO 8996:1994 as low, moderate and high metabolic rate. Based on these definitions, the recorded tasks were fourteen. During the work-shift, a researcher was following each worker, monitoring them with the FAME_TASK App, until they end of their work shift.

02

Conditions studied

  • Risk of Heat Stress

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Keywords

  • heat stress
  • heat strain
  • productivity
  • labor
  • occupation
  • work
  • thermal
03

In context

Heat Stress Disorders

113 studies on the registry are indexed under Heat Stress Disorders; 46 are open to participants now.

This study's enrollment of 248 is above the median of 24 across 99 interventional studies indexed under Heat Stress Disorders.

Browse Heat Stress Disorders studies →

Lead sponsor

Petros Dinas is the lead sponsor of 10 studies on the registry; none are open to participants now.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
18 Years to 75 Years
Sexes eligible
All
Accepts healthy volunteers
Yes

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

Inclusion criteria

  • Workers in the industries of agriculture, construction, manufacture, , tourism, or other services

Exclusion criteria

Exclusion Criteria:

  • Workers under the age of 18 or non-experienced workers
05

Study design

Phase
Not applicable
Primary purpose
Prevention
Allocation
Randomized
Intervention model
Crossover assignment
Masking
Single (Participant)
Enrollment
248 participants (actual)

Study arms

  • Experimental
    Work/ rest scenario

    For every hour of work, the participants were asked to take 3-10 minutes break in the shade.

    Other: Work/ rest scenario

  • Experimental
    Hydration scenario

    Participants were asked to consume at least 750ml of water or ice-slushies for every hour of work.

    Other: Hydration scenario

  • Experimental
    Clothing scenario

    Participants were asked to wear different types of clothing during the work shift i.e. ventilated garments, white breathable coveralls, clothing with water submerged parts.

    Other: Clothing scenario

  • Experimental
    "E-carts" scenario

    Participants that were involved in manual labor by carrying heavy weights were provided with "e-carts" (automated carrying vehicles)

    Other: "E-carts" scenario

  • Sham comparator
    Business as usual scenario

    No interference with the usual work day of the participants.

    Other: Business as usual scenario

  • Sham comparator
    Sham evaluation

    Participants were monitored during a usual day of work shift while sham measurements were recorded in order for them to get familiarized with the study environment.

    Other: Sham evaluation

Interventions

  • OtherWork/ rest scenario

    For every hour of work, the participants were asked to take 3-10 minutes break in the shade.

  • OtherHydration scenario

    Participants were asked to consume at least 750ml of water or ice-slushies for every hour of work

  • OtherClothing scenario

    Participants were asked to wear different types of clothing during the work shift i.e. ventilated garments, white breathable coveralls, clothing with water submerged parts

  • Other"E-carts" scenario

    Participants that were involved in manual labor by carrying heavy weights were provided with "e-carts" (automated carrying vehicles)

  • OtherBusiness as usual scenario

    No interference with the usual work day of the participants

  • OtherSham evaluation

    Participants were monitored during a usual day of work shift while sham measurements were recorded in order for them to get familiarized with the study environment

06

What researchers measure

Primary outcomes

  1. Heart rate

    Heart rate data were continuously monitored using a Polar Team system (Polar® Team 2, Polar Electro Oy, Kempele, Finland

    Time frame: 12-hour workshift

  2. Mean skin temperature

    Temperature at the skin surface area was continuously monitored using iButton sensors (type DS1921 H, Maxim/Dallas Semiconductor Corp., USA)

    Time frame: 12-hour workshift

  3. Core body temperature

    Core body temperature was assessed throughout the entire work shift using telemetric capsules (e-Celsius, BodyCap, Caen, France) that was given to the workers to ingest prior to their work shift

    Time frame: 12-hour workshift

  4. Urine specific gravity to assess the hydration status

    Urine was obtained from the participants pre and post the 12-hour work shift. Urine specific gravity (single assessment-no units) was assessed using a refractometer (PAL-10S, ATAGO CO., LTD., Fukaya, Saitama Prefecture, Japan). Urine color was assessed using a urine color scale

    Time frame: Pre and post the 12-hour workshift

  5. Labour effort

    Actual time (single assessment-hours) of working effort and break time during the 12-hour work shift. They were assessed by time-motion analysis (video) or real time task analysis (surveillance) on a second by second basis

    Time frame: 12-hour workshift

  6. Thermal comfort

    Thermal comfort was assessed via the thermal comfort scale (1 = comfortable; 5 = extremely uncomfortable).

    Time frame: At baseline, every two hours up until the end of the 12-hour workshift

  7. Thermal sensation

    Thermal sensation was assessed via the thermal sensation scale (-3 = cold; +3 = hot)

    Time frame: At baseline, every two hours up until the end of the 12-hour workshift

  8. Perceived exertion

    Perceived exertion was assessed via the Borg 20th Scale (6 = no exertion at all; 20 = maximal exertion)

    Time frame: At baseline, every two hours up until the end of the 12-hour workshift

  9. Heat Strain Score Index

    Heat Strain Score Index was assessed via the 18-question Heat Strain Score Index questionnaire that assess the heat and physiological strain

    Time frame: At the end of the 12-hour work shift

07

Study locations

1 site
  • FAME Lab, Department of Exercise Science, University of Thessaly
    Trikala, Thessaly 42100, Greece
08

References and documents

Publications

  • Ioannou LG, Tsoutsoubi L, Mantzios K, Gkikas G, Agaliotis G, Koutedakis Y, Garcia-Leon D, Havenith G, Liang J, Arkolakis C, Glaser J, Kenny GP, Mekjavic IB, Nybo L, Flouris AD. The Impact of Workplace Heat and Cold on Work Time Loss. J Occup Environ Med. 2025 Jun 1;67(6):393-399. doi: 10.1097/JOM.0000000000003332. Epub 2025 Feb 7. PubMed 39965897 ↗

Individual participant data

Plan to share: No

09

Timeline

Tracking since Sep 25, 2026
ElapsedEstimatedEstimated, not yet reachedSimilar studies: half by the dot; the band is the middle halfHalf of similar studies reached it by the dot; the band is the middle half, from a quarter to three quarters

Ran from Jul 2019 to primary completion in Aug 2019, 1 month.

Of 69 non-industry interventional studies with no phase under Heat Stress Disorders, half reached primary completion within 16 months of starting (the median), counting those still running; a quarter within 5 and three quarters within 27. This study's 1 month is below that.

Counting every sponsor, half of 69 studies reached it within 16 months; a quarter within 5 and three quarters within 27.

How these figures are worked out, and which studies are left out of them.

Registered
Nov 7, 2019
First posted
Nov 13, 2019
StartActual
Jul 5, 2019
Primary completionActual
Aug 5, 2019
CompletionActual
Aug 5, 2019
Last update
Nov 29, 2023
What these dates mean
Start.
When the first participant enrolled; while estimated, when the study expects to open to recruitment.
Primary completion.
When the last participant was examined or treated to collect data for the study's main question, its primary outcome. A study that stopped early gives the date its data collection stopped.
Completion.
When the last participant's last visit took place, for every outcome, secondary ones and side effects included: the end of the study. Often later than primary completion, sometimes the same day.
Actual and Est.
Actual means the registry says the date has happened. Est. (estimated) is a date the sponsor plans or expects. It can still move, and the sponsor is expected to change it to actual once it has passed.
No changes since tracking began. The registry record was last updated on Nov 29, 2023, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
10

Registry details

Key details

Study ID
NCT04160728
Lead sponsor
Petros Dinas
Responsible party
Petros Dinas (Researcher in human physiology, University of Thessaly) — Sponsor-investigator
First posted
Nov 13, 2019
Start date
Jul 5, 2019
Primary completion
Aug 5, 2019
Completion
Aug 5, 2019
Last update
Nov 29, 2023

Study contacts

Andreas Flouris
principal investigator · andreasflouris@gmail.com

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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This study is completed, as verified in Nov 2023. You cannot join it, but the record below documents what was studied.

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