| Literature DB >> 30934675 |
Alessandro Messeri1,2, Marco Morabito3,4, Michela Bonafede5, Marcella Bugani6, Miriam Levi7, Alberto Baldasseroni8, Alessandra Binazzi9, Bernardo Gozzini10, Simone Orlandini11,12, Lars Nybo13, Alessandro Marinaccio14.
Abstract
Climate change will increase the frequency and severity of hazard events such as heat waves, with important effects in several European regions. It is of importance to consider overall effects as well as specific impact on vulnerable population groups such as outdoor workers. The agricultural and construction sectors represent two strategic occupational fields that in relatively recent years involve an increasing number of migrant workers, and therefore require a better management of cultural aspects, that may interact with and impact on heat-related health risk. For this reason, the present study evaluated heat-stress perception and management among native and immigrant workers in Europe. As part of the EU's Horizon 2020 HEAT-SHIELD project (grant agreement No. 668786), two agricultural and one construction companies, traditionally employing migrant workers, were evaluated with a questionnaire survey during the summer months of 2017. The data collected (104 case studies) were analyzed using descriptive statistics (Chi-squared tests) and the analysis of variance was performed with ANOVA test. From the results, migrant workers declared that work required greater effort than do native Italian workers (χ² = 17.1, p = 0.001) but reported less impact from heat on productivity (χ² = 10.6; p = 0.014) and thermal discomfort. In addition, migrant workers were mainly informed through written or oral communications, while native workers received information on heat-health issues through training courses. These findings are of importance for future information and mitigation actions to address socio-cultural gaps and reduce heat-stress vulnerability.Entities:
Keywords: Universal Thermal Climate Index (UTCI); Wet Bulb Globe Temperature (WBGT); heat perception; heat waves; migrant; occupational risk
Mesh:
Year: 2019 PMID: 30934675 PMCID: PMC6479923 DOI: 10.3390/ijerph16071090
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Figure 1Air temperature (continuous line) and black globe temperature (dashed line) measured during the working time of the day (8:00 a.m.–5:00 p.m.) in the three work sites involved in the study during the summer 2017.
Figure 2Mean and Maximum Universal Thermal Climate Index (UTCI) index for each month during the working time at the three work sites involved in the study (summer 2017) and the recommended rest according to the WBGT ISO standard for a worker that perform an activity that requires an effort of 300 watt. The bands of different shades of gray indicate instead the heat stress thresholds according to the Universal Thermal Climate Index (UTCI).
Figure 3Mean and maximum daily Wet-Bulb Globe Temperature (WBGT) index during the working time of the day at the three work sites involved in the study, summer 2017. The dashed lines represent the WBGT ISO standard thresholds respectively for a high (400 W) and a moderate (300 W) work effort as declared by the native workers.
Workers by birth place and sector.
| Workers | Agriculture | Construction | Total | |
|---|---|---|---|---|
| Birth place | Italy | 17 | 49 | 66 |
| Albania | 2 | 22 | 24 | |
| Romania | 4 | 3 | 7 | |
| Moldova | 1 | 2 | 3 | |
| Morocco | 1 | 1 | 2 | |
| Germany | 1 | 1 | 2 | |
| Total | 26 | 78 | 104 | |
Sample characteristics and statistical associations.
| Workers | Native Workers | Migrant Workers | |||||
|---|---|---|---|---|---|---|---|
|
| % b |
| % b | χ2 c |
| ||
|
| Male | 60 | 90.9 | 36 | 94.7 | 0.498 | 0.481 |
| Female | 6 | 9.1 | 2 | 5.3 | |||
| Age groups | ≤39 | 18 | 27.3 | 14 | 36.8 | 11.818 | 0.003 |
| 40–49 | 20 | 30.3 | 20 | 52.6 | |||
| ≥50 | 28 | 42.4 | 4 | 10.5 | |||
| Level of education | Apprenticeship | 1 | 1.5 | 2 | 5.3 | 6.04 | 0.11 |
| Trade school | 2 | 3.0 | 5 | 13.2 | |||
| Secondary | 37 | 56.1 | 17 | 44.7 | |||
| Higher secondary | 13 | 19.7 | 12 | 31.6 | |||
| Missing | 13 | 19.7 | 2 | 5.3 | |||
| Income | Below the average of the work country | 2 | 3.0 | 0 | 0.0 | 3.053 | 0.217 |
| Within the average | 19 | 28.8 | 9 | 23.7 | |||
| Above the average | 0 | 0.0 | 1 | 2.6 | |||
| Missing | 45 | 68.2 | 28 | 73.7 | |||
| Seasonal worker | Yes | 7 | 10.6 | 1 | 2.6 | 2.643 | 0.104 |
| No | 50 | 75.8 | 36 | 94.7 | |||
| Missing | 9 | 13.6 | 1 | 2.6 | |||
| Type of industry work environment | Agriculture outdoor | 9 | 13.6 | 7 | 18.4 | 9.233 | 0.01 |
| Agriculture greenhouse | 8 | 12.2 | 2 | 5.3 | |||
| Construction | 49 | 74.2 | 29 | 76.3 | |||
a Number of workers for each category; b Percentage of workers for each category; c Chi-squared test value; d p value significance.
Chi-squared analysis results of the first part of the questionnaire submitted to workers.
| Question | Answer Options | Native Workers | Migrant Workers | ||||
|---|---|---|---|---|---|---|---|
| Mean |
| Mean |
| χ2 b |
| ||
| How physically demanding is your job? | Light (1)–Moderate (2)–Heavy (3)–Very heavy (4) | 2.58 | 0.767 | 2.93 | 0.815 | 17.129 | 0.001 |
| How do you perceive the temperature while working during heat waves? | Neither warm nor cool (1)–Slightly warm (2)–Warm (3)–Hot (4)–Very hot (5) | 4.31 | 0.731 | 4.06 | 0.719 | 13.924 | 0.008 |
| Do you notice that you are less productive during a heat wave (e.g., you need more energy for the same work)? | No (1)–Yes, for less than 10% (2)–Yes for 10% to 30% (3)–Yes, for more than 30% (4) | 2.43 | 0.708 | 2.17 | 0.814 | 10.57 | 0.014 |
| Have you ever been informed by your employer or adviser how to act during heat waves? | No (1)–Yes, through written and oral news (2) –Yes, through safety courses (3) | 2.64 | 0.496 | 2.32 | 0.658 | 21.15 | <0.001 |
| Do you receive warnings and advice from your employer or adviser during heat waves? | No (1)–Yes (2) | 1.75 | 0.4 | 1.67 | 0.5 | 0 | 0.994 |
| Are you satisfied or dissatisfied with measures currently adopted in your workplace for reducing the effects of heat? | Dissatisfied (1)–Undecided (2)–Satisfied (3)–Strongly satisfied (4) | 3.4 | 0.827 | 3.5 | 0.641 | 39.581 | <0.001 |
a Standard deviation; b chi-squared test value; c p value significance.
ANOVA analysis results.
| Question | Native Workers | Migrant Workers | ||||
|---|---|---|---|---|---|---|
| Mean |
| Mean |
|
|
| |
| How many years have you been working in this sector? | 19.24 | 9.427 | 12.62 | 5.445 | 44.737 | <0.001 |
| How many hours per day do you usually (on average) work outside in the summertime? | 5.23 | 3.835 | 6.31 | 3.246 | 6.732 | 0.01 |
| How many hours per day do you usually (on average) work outdoor in the summertime? | 2.9 | 3.789 | 1.74 | 3.281 | 6.861 | 0.009 |
a Standard deviation; b p value.