Occupational Heat Stress on Workers' Productivity

NCT ID: NCT04160728

Last Updated: 2023-11-29

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Clinical Phase

NA

Total Enrollment

248 participants

Study Classification

INTERVENTIONAL

Study Start Date

2019-07-05

Study Completion Date

2019-08-05

Brief Summary

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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.

Detailed Description

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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.

Conditions

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Risk of Heat Stress

Study Design

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Allocation Method

RANDOMIZED

Intervention Model

CROSSOVER

Primary Study Purpose

PREVENTION

Blinding Strategy

SINGLE

Participants

Study Groups

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Work/ rest scenario

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

Group Type EXPERIMENTAL

Work/ rest scenario

Intervention Type OTHER

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

Hydration scenario

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

Group Type EXPERIMENTAL

Hydration scenario

Intervention Type OTHER

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

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.

Group Type EXPERIMENTAL

Clothing scenario

Intervention Type OTHER

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

"E-carts" scenario

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

Group Type EXPERIMENTAL

"E-carts" scenario

Intervention Type OTHER

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

Business as usual scenario

No interference with the usual work day of the participants.

Group Type SHAM_COMPARATOR

Business as usual scenario

Intervention Type OTHER

No interference with the usual work day of the participants

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.

Group Type SHAM_COMPARATOR

Sham evaluation

Intervention Type OTHER

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

Interventions

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Work/ rest scenario

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

Intervention Type OTHER

Hydration scenario

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

Intervention Type OTHER

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

Intervention Type OTHER

"E-carts" scenario

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

Intervention Type OTHER

Business as usual scenario

No interference with the usual work day of the participants

Intervention Type OTHER

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

Intervention Type OTHER

Eligibility Criteria

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Inclusion Criteria

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

Exclusion Criteria

* Workers under the age of 18 or non-experienced workers
Minimum Eligible Age

18 Years

Maximum Eligible Age

75 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes

Sponsors

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Petros Dinas

OTHER

Sponsor Role lead

Responsible Party

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Petros Dinas

Researcher in human physiology

Responsibility Role SPONSOR_INVESTIGATOR

Principal Investigators

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Andreas Flouris

Role: PRINCIPAL_INVESTIGATOR

[email protected]

Locations

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FAME Lab, Department of Exercise Science, University of Thessaly

Trikala, Thessaly, Greece

Site Status

Countries

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Greece

References

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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.

Reference Type DERIVED
PMID: 39965897 (View on PubMed)

Other Identifiers

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7. Workers' heat stress

Identifier Type: -

Identifier Source: org_study_id