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Tawatsupa B, Yiengprugsawan V, Kjellstrom T,
Berecki-Gisolf J, Seubsman S, Sleigh A.
Industrial Health. 2013;51(1):34-46.
1
Background

Heat loss

"Heat stress" (ACGIH, 2008)

Cooling by Evaporation

Overall heat burden on the
body from the combination of:

H 2O

Na+

Cl-

H 2O

Body heat generated
Environmental sources
− Air temperature
− Humidity
− Air movement
− Radiation from the sun or hot
surfaces/sources

Clothing requirements

H

Heat gain

From external heat source
(Environment)

Heat gain

From internal heat source
(Physical activity)
2
Conceptual Framework
Air pollution:
(SO2, NO2, PM10,
O3, CO)

Individual/ behaviour
factors
(Age/sex/ BMI/
Drinking alcohol)

Mental Health
Psychological
distress
(Paper 1)

Physical health
Climate
Change

Heat
Stress

Related weather variables
- Relative humidity
- Dew point temperature,
- Precipitation
- Wind speed

Human
exposure

Health
Impacts

Socioeconomic status
- Income/Education
- Air conditioning
- Type of job
- Location of job

Kidney disease
(Paper 2)
Occupational Injury
(Paper 5)

Well-being
Life dissatisfaction
(Paper 3)

3
Introduction
Global warming will increase heat stress
Rapid urbanization cause workers to do heavy labour for

long periods
Workers are exposed to heat and are at risk of heatrelated illness and increased occupational injury

4
Heat stress in Thailand
 Tropical developing country
 Large working population
 High temperature and high humidity
Mean

temp. increased 0.74°C over the last century
Extreme temperature events will become more prevalent
Mean temp.

Source : Limjirakan et al., 2008

5
Public health concern in Thailand
Heat is “extreme caution” or “danger” in a wide array of work

settings in Thailand (Langkulsen et al 2010)
Current warming trends are expected to exacerbate problem
However, information on occupational injury related to heat

stress in Thailand is still quite limited

Aim: To examine association between heat stress and injury in the Thai workplace

Steel-making plant

Paddy field

6
Data and study population
 A large national Thai Cohort Study (TCS) in 2005
 Researching the health-risk transition in the Thai population
 87,134 respondents aged 15-87 years enrolled as distance

learning students at Sukhothai Thammathirat Open University

 Further details about the questionnaire data collection are

given in Sleigh et al (2008)

7
Thai Cohort Study (TCS) baseline (2005)
N = 87,134 (100%)
Working for income N= 76,748
Working for income N= 76,748

“Do you work for income? (in 2005)” "Yes"
“Do you work for income? (in 2005)” -- "Yes"

•10,386 did not work

Reported workplace heat stress N= 75,287
Reported workplace heat stress N= 75,287

“During the last 12 months, how often did you experience
“During the last 12 months, how often did you experience
high temperatures at work that made you
high temperatures at work that made you
uncomfortable?”
uncomfortable?”
– “often”, “sometimes”, “rarely”, and “never”
– “often”, “sometimes”, “rarely”, and “never”

Answered first injury question N=75,287
Answered first injury question N=75,287

“In the last 12 months how many injuries have you had
“In the last 12 months how many injuries have you had
that were serious enough to interfere with daily activities
that were serious enough to interfere with daily activities
and/or required medical treatment”
and/or required medical treatment”
•Yes – 16,388 (21.7%)
•Yes – 16,388 (21.7%)
• No serious injury – 58,899 (78.2%)
• No serious injury – 58,899 (78.2%)

- 1,461 do not know and
missing responses

Fig. 1 Selection of the analysed population from TCS, 2005

8
Measures of occupational injury
Answered question on injury at workplace
Answered question on injury at workplace
N=62,076
N=62,076

“Workplace injury in last 12 months”
“Workplace injury in last 12 months”
Yes for non-agricultural workplace = 2,373 (3.8%)
-- Yes for non-agricultural workplace = 2,373 (3.8%)
Yes for agricultural workplace = 804 (1.3%)
-- Yes for agricultural workplace = 804 (1.3%)

Group analysed for heat stress-related injury at
Group analysed for heat stress-related injury at
work N=58,495
work N=58,495

- 13,211 reported nonworkplace injures

- 3,581 any missing values

•25,908 men (44%) and 32,587 women (56%)
•25,908 men (44%) and 32,587 women (56%)
•Mean age of men (34 yrs) and women (31 yrs)
•Mean age of men (34 yrs) and women (31 yrs)

Analysis of heat stress-related occupational
Analysis of heat stress-related occupational
injury at agricultural workplaces
injury at agricultural workplaces

restricted to physical workers in rural areas (N=11,634)
restricted to physical workers in rural areas (N=11,634)
•5,892 men (51%) and 5,742 women (49%)
•5,892 men (51%) and 5,742 women (49%)

- 2,221 reported injury at nonagricultural workplace
- 31,811 office workers
- 12,829 work in non-rural areas

Fig. 1 Selection of the analysed population from TCS, 2005

9
Management of confounding

10
Data processing and statistical analysis

11
Heat stress at work & Occupational injury
Table 2 Reported heat stress at work and occupational injury in a national cohort of 58,495
workers in Thailand
Heat stress and
occupational injury

Males

Females
N
%

N

%

25,908

44.3

32,587

Heat stress
Rarely /Never 11,260
Sometimes 8,899
Often 5,749

43.5
34.4
22.2

Serious injury at work
No serious injury 24,236
Occupational injury 1,672

93.6
6.5

Total

Total
N

%

55.7

58,495

100

18,125
9,427
5,035

55.6
28.9
15.5

29,385
18,326
10,784

50.2
31.3
18.4

31,299
1,288

96.1
4.0

55,535
2,960

94.9
5.1

12
Association of cohort attributes with heat stress
Males

Age group; <35
>=35

Age group; <35
>=35

Education; University
Diploma
High school

Education; University
Diploma
High school

Income; 20001+
10001-20000
7001-10000
<7000

Income; 20001+
10001-20000
7001-10000
<7000

Alcohol consumption; Never
Ex/Social drinker
Regular drinking

Alcohol consumption; Never
Ex/Social drinker
Regular drinking

Smoking; Never smoked
Ex-smoker
Current smoker

Smoking; Never smoked
Ex-smoker
Current smoker

BMI; Normal weight
Underweight
Overweight
Obese

BMI; Normal weight
Underweight
Overweight
Obese

Job location; Bangkok
Urban
Rural

Job location; Bangkok
Urban
Rural

Job type; Office job
Physical job

Job type; Office job
Physical job

Sleep 6-8 hrs
Sleep >8hrs
Sleep <6hrs

Sleep 6-8 hrs
Sleep >8hrs
Sleep <6hrs

No disease
Existing disease

No disease
Existing disease

work very fast; Rarely
Sometimes
Often

Females

work very fast; Rarely
Sometimes
Often

0.50

1.00

1.50

2.00

2.50

0.50

1.00

1.50

Fig. 2 Association of cohort covariates with heat stress

2.00

2.50

13
Association of cohort attributes with
occupational injury
Males

Females

Age group; <35
>=35

Age group; <35
>=35

Education; University
Diploma
High school

Education; University
Diploma
High school

Income; 20001+
10001-20000
7001-10000
<=7000

Income; 20001+
10001-20000
7001-10000
<=7000

Alcohol consumption; Never
Ex/Social drinker
Regular drinking

Alcohol consumption; Never
Ex/Social drinker
Regular drinking

Smoking; Never smoked
Ex-smoker
Current smoker

Smoking; Never smoked
Ex-smoker
Current smoker

BMI; Normal weight
Underweight
Overweight
Obese

BMI; Normal weight
Underweight
Overweight
Obese

Job location; Bangkok
Urban
Rural

Job location; Bangkok
Urban
Rural

Job type; Office job
Physical job

Job type; Office job
Physical job

Sleep 6-8 hrs
Sleep >8hrs
Sleep <6hrs

Sleep 6-8 hrs
Sleep >8hrs
Sleep <6hrs

No disease
Existing disease

No disease
Existing disease

work very fast; Rarely
Sometimes
Often

work very fast; Rarely
Sometimes
Often
0.50 1.00 1.50 2.00 2.50 3.00

0.50 1.00 1.50 2.00 2.50 3.00

Fig. 3 Association of cohort covariates with occupational injury

14
Effects of heat stress on occupational injury
Table 3 Associations between heat stress and occupational injury among male
and female workers (N=58,495)
Heat stress
2005

Occupational
injury

ORs

N

%

Crude

Adj.

N= 25,908
Never/Rarely
Sometimes
Often

1,672
473
616
583

6.5
4.2
6.9
10.1

1
1.70***
2.57***

1
1.54***
2.12***

Females N = 32,587
Never/Rarely
Sometimes
Often

1,288
578
384
326

4.0
3.2
4.1
6.5

1
1.29***
2.10***

1
1.24***
1.90***

Males

(95% CI)

p-trend
<0.001

(1.36-1.74)
(1.87-2.42)

<0.001
(1.08-1.42)
(1.64-2.18)

15
Effects of heat stress on occupational injury
in agricultural workplaces
Table 4 Associations between heat stress and occupational injury at agricultural workplaces
among male and female workers in rural areas with physical jobs (N=11,634)
Heat stress
2005

Occupational
injury
Crude

Adj.b

%

228
59
81

2.8
3.7

1
1.35

1
1.31

(0.93-1.85)

Often

88

5.6

2.09***

1.99***

(1.41-2.81)

Females N = 5,742
Never/Rarely
Sometimes

84
25
31

1.5
0.9
1.6

1
1.78*

1
1.64

(0.96-2.80)

Often

28

2.5

2.80***

2.58***

(1.49-4.47)

N= 5,892

(95% CI)

ptrend

3.9

Never/Rarely
Sometimes

Males

N

ORs

<0.001

0.001

16
Principal findings
 Heat stress at work has a significant association with

occupational injury
 Occupational heat stress affected 18% of Thai workers
 Association between heat stress and occupational injury
remained substantial and significant after accounting for
effects of covariates
 For rural physical workers at agriculture workplaces
showed a similar association.

17
Strengths of this study
A large national cohort of 58,495 workers who represent

well working age Thais

A wide range of values for variables of interest, revealing

relationship between heat stress & occupational injury

The restricted analysis of 11,634 workers with physical

jobs in rural areas were similar to the overall analysis of
58,459 workers

18
Limitation of this study
Could not directly establish

that the occupational injury
arose as a result of heat stress.

Unknown source or nature of

the heat stress at work

Not able to make direct

measurements of work
environments or occupational
injury
We classify this study as

preliminary in nature.

19
Compare with other studies
Occupational heat stress is a problem in Thailand,

especially in agriculture workplaces (Langkulsen

et al 2010,

Jakreng 2010)

The younger age group reported more occupational

injury (Curtis et al 2007)

A higher risk of serious occupational injury among males
(Fan et al 2012)

The risk of injury related to job type, rural job location
(Dembe et al 2004), and frequency of alcohol consumption
(Dawson 1994)

20
Significance of this study
Heat stress increases the risk of serious injury among

workers who are exposed to hot and humid work
environments

Hot and humidity together with workers’ physical

exertion and dehydration can cause potentially heatrelated illness or heat exhaustion (fainting or collapse)
 Increase occupational injury & associated costs
 Reduce work performance and productivity

The existing heat stress problem will worsen if global

warming continues and workplaces become even more
thermally stressful
21
Significance of this study for Thailand
Need to strengthen policy and guidelines on prevention

and management of heat stress and occupational injury

Thai workers must take safety precautions while working

under heat stress

policymakers should develop the interventions to

prevent occupational injury, especially new young
workers.

 Prevention of heat stress-related injury through

education, training and procedures is needed

22
Future research
Validation the self-reported measurement of heat

exposure

Direct observations of heat stress and its effects in

informative work settings

Investigate heat-related injury in different regions of

Thailand because the geography and heat stress are
different

23
Conclusion
 Association between heat stress & occupational injury

reported here is a great concern.
 Continued urbanisation & global warming will make
these trends worse for workers in tropical developing
countries: Thailand.
 Injury interventions need to include strategies that
mitigate occupational heat stress
We need to develop and test interventions that reduce
the number & severity of occupational injuries

24
Acknowledgments
 The International Collaborative Research Grants Scheme
 The Wellcome Trust UK
 The Australian National Health And Medical Research Council

 The Thai Cohort Study team
 Sukhothai Thammathirat Open University (STOU)
 the STOU students
 The Australian National University (ANU)
 Department of health, Ministry of Public Health, Thailand

25
Any questions/ suggestions?

26

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Heat stress and occupational injury

  • 1. Tawatsupa B, Yiengprugsawan V, Kjellstrom T, Berecki-Gisolf J, Seubsman S, Sleigh A. Industrial Health. 2013;51(1):34-46. 1
  • 2. Background Heat loss "Heat stress" (ACGIH, 2008) Cooling by Evaporation Overall heat burden on the body from the combination of: H 2O Na+ Cl- H 2O Body heat generated Environmental sources − Air temperature − Humidity − Air movement − Radiation from the sun or hot surfaces/sources Clothing requirements H Heat gain From external heat source (Environment) Heat gain From internal heat source (Physical activity) 2
  • 3. Conceptual Framework Air pollution: (SO2, NO2, PM10, O3, CO) Individual/ behaviour factors (Age/sex/ BMI/ Drinking alcohol) Mental Health Psychological distress (Paper 1) Physical health Climate Change Heat Stress Related weather variables - Relative humidity - Dew point temperature, - Precipitation - Wind speed Human exposure Health Impacts Socioeconomic status - Income/Education - Air conditioning - Type of job - Location of job Kidney disease (Paper 2) Occupational Injury (Paper 5) Well-being Life dissatisfaction (Paper 3) 3
  • 4. Introduction Global warming will increase heat stress Rapid urbanization cause workers to do heavy labour for long periods Workers are exposed to heat and are at risk of heatrelated illness and increased occupational injury 4
  • 5. Heat stress in Thailand  Tropical developing country  Large working population  High temperature and high humidity Mean temp. increased 0.74°C over the last century Extreme temperature events will become more prevalent Mean temp. Source : Limjirakan et al., 2008 5
  • 6. Public health concern in Thailand Heat is “extreme caution” or “danger” in a wide array of work settings in Thailand (Langkulsen et al 2010) Current warming trends are expected to exacerbate problem However, information on occupational injury related to heat stress in Thailand is still quite limited Aim: To examine association between heat stress and injury in the Thai workplace Steel-making plant Paddy field 6
  • 7. Data and study population  A large national Thai Cohort Study (TCS) in 2005  Researching the health-risk transition in the Thai population  87,134 respondents aged 15-87 years enrolled as distance learning students at Sukhothai Thammathirat Open University  Further details about the questionnaire data collection are given in Sleigh et al (2008) 7
  • 8. Thai Cohort Study (TCS) baseline (2005) N = 87,134 (100%) Working for income N= 76,748 Working for income N= 76,748 “Do you work for income? (in 2005)” "Yes" “Do you work for income? (in 2005)” -- "Yes" •10,386 did not work Reported workplace heat stress N= 75,287 Reported workplace heat stress N= 75,287 “During the last 12 months, how often did you experience “During the last 12 months, how often did you experience high temperatures at work that made you high temperatures at work that made you uncomfortable?” uncomfortable?” – “often”, “sometimes”, “rarely”, and “never” – “often”, “sometimes”, “rarely”, and “never” Answered first injury question N=75,287 Answered first injury question N=75,287 “In the last 12 months how many injuries have you had “In the last 12 months how many injuries have you had that were serious enough to interfere with daily activities that were serious enough to interfere with daily activities and/or required medical treatment” and/or required medical treatment” •Yes – 16,388 (21.7%) •Yes – 16,388 (21.7%) • No serious injury – 58,899 (78.2%) • No serious injury – 58,899 (78.2%) - 1,461 do not know and missing responses Fig. 1 Selection of the analysed population from TCS, 2005 8
  • 9. Measures of occupational injury Answered question on injury at workplace Answered question on injury at workplace N=62,076 N=62,076 “Workplace injury in last 12 months” “Workplace injury in last 12 months” Yes for non-agricultural workplace = 2,373 (3.8%) -- Yes for non-agricultural workplace = 2,373 (3.8%) Yes for agricultural workplace = 804 (1.3%) -- Yes for agricultural workplace = 804 (1.3%) Group analysed for heat stress-related injury at Group analysed for heat stress-related injury at work N=58,495 work N=58,495 - 13,211 reported nonworkplace injures - 3,581 any missing values •25,908 men (44%) and 32,587 women (56%) •25,908 men (44%) and 32,587 women (56%) •Mean age of men (34 yrs) and women (31 yrs) •Mean age of men (34 yrs) and women (31 yrs) Analysis of heat stress-related occupational Analysis of heat stress-related occupational injury at agricultural workplaces injury at agricultural workplaces restricted to physical workers in rural areas (N=11,634) restricted to physical workers in rural areas (N=11,634) •5,892 men (51%) and 5,742 women (49%) •5,892 men (51%) and 5,742 women (49%) - 2,221 reported injury at nonagricultural workplace - 31,811 office workers - 12,829 work in non-rural areas Fig. 1 Selection of the analysed population from TCS, 2005 9
  • 11. Data processing and statistical analysis 11
  • 12. Heat stress at work & Occupational injury Table 2 Reported heat stress at work and occupational injury in a national cohort of 58,495 workers in Thailand Heat stress and occupational injury Males Females N % N % 25,908 44.3 32,587 Heat stress Rarely /Never 11,260 Sometimes 8,899 Often 5,749 43.5 34.4 22.2 Serious injury at work No serious injury 24,236 Occupational injury 1,672 93.6 6.5 Total Total N % 55.7 58,495 100 18,125 9,427 5,035 55.6 28.9 15.5 29,385 18,326 10,784 50.2 31.3 18.4 31,299 1,288 96.1 4.0 55,535 2,960 94.9 5.1 12
  • 13. Association of cohort attributes with heat stress Males Age group; <35 >=35 Age group; <35 >=35 Education; University Diploma High school Education; University Diploma High school Income; 20001+ 10001-20000 7001-10000 <7000 Income; 20001+ 10001-20000 7001-10000 <7000 Alcohol consumption; Never Ex/Social drinker Regular drinking Alcohol consumption; Never Ex/Social drinker Regular drinking Smoking; Never smoked Ex-smoker Current smoker Smoking; Never smoked Ex-smoker Current smoker BMI; Normal weight Underweight Overweight Obese BMI; Normal weight Underweight Overweight Obese Job location; Bangkok Urban Rural Job location; Bangkok Urban Rural Job type; Office job Physical job Job type; Office job Physical job Sleep 6-8 hrs Sleep >8hrs Sleep <6hrs Sleep 6-8 hrs Sleep >8hrs Sleep <6hrs No disease Existing disease No disease Existing disease work very fast; Rarely Sometimes Often Females work very fast; Rarely Sometimes Often 0.50 1.00 1.50 2.00 2.50 0.50 1.00 1.50 Fig. 2 Association of cohort covariates with heat stress 2.00 2.50 13
  • 14. Association of cohort attributes with occupational injury Males Females Age group; <35 >=35 Age group; <35 >=35 Education; University Diploma High school Education; University Diploma High school Income; 20001+ 10001-20000 7001-10000 <=7000 Income; 20001+ 10001-20000 7001-10000 <=7000 Alcohol consumption; Never Ex/Social drinker Regular drinking Alcohol consumption; Never Ex/Social drinker Regular drinking Smoking; Never smoked Ex-smoker Current smoker Smoking; Never smoked Ex-smoker Current smoker BMI; Normal weight Underweight Overweight Obese BMI; Normal weight Underweight Overweight Obese Job location; Bangkok Urban Rural Job location; Bangkok Urban Rural Job type; Office job Physical job Job type; Office job Physical job Sleep 6-8 hrs Sleep >8hrs Sleep <6hrs Sleep 6-8 hrs Sleep >8hrs Sleep <6hrs No disease Existing disease No disease Existing disease work very fast; Rarely Sometimes Often work very fast; Rarely Sometimes Often 0.50 1.00 1.50 2.00 2.50 3.00 0.50 1.00 1.50 2.00 2.50 3.00 Fig. 3 Association of cohort covariates with occupational injury 14
  • 15. Effects of heat stress on occupational injury Table 3 Associations between heat stress and occupational injury among male and female workers (N=58,495) Heat stress 2005 Occupational injury ORs N % Crude Adj. N= 25,908 Never/Rarely Sometimes Often 1,672 473 616 583 6.5 4.2 6.9 10.1 1 1.70*** 2.57*** 1 1.54*** 2.12*** Females N = 32,587 Never/Rarely Sometimes Often 1,288 578 384 326 4.0 3.2 4.1 6.5 1 1.29*** 2.10*** 1 1.24*** 1.90*** Males (95% CI) p-trend <0.001 (1.36-1.74) (1.87-2.42) <0.001 (1.08-1.42) (1.64-2.18) 15
  • 16. Effects of heat stress on occupational injury in agricultural workplaces Table 4 Associations between heat stress and occupational injury at agricultural workplaces among male and female workers in rural areas with physical jobs (N=11,634) Heat stress 2005 Occupational injury Crude Adj.b % 228 59 81 2.8 3.7 1 1.35 1 1.31 (0.93-1.85) Often 88 5.6 2.09*** 1.99*** (1.41-2.81) Females N = 5,742 Never/Rarely Sometimes 84 25 31 1.5 0.9 1.6 1 1.78* 1 1.64 (0.96-2.80) Often 28 2.5 2.80*** 2.58*** (1.49-4.47) N= 5,892 (95% CI) ptrend 3.9 Never/Rarely Sometimes Males N ORs <0.001 0.001 16
  • 17. Principal findings  Heat stress at work has a significant association with occupational injury  Occupational heat stress affected 18% of Thai workers  Association between heat stress and occupational injury remained substantial and significant after accounting for effects of covariates  For rural physical workers at agriculture workplaces showed a similar association. 17
  • 18. Strengths of this study A large national cohort of 58,495 workers who represent well working age Thais A wide range of values for variables of interest, revealing relationship between heat stress & occupational injury The restricted analysis of 11,634 workers with physical jobs in rural areas were similar to the overall analysis of 58,459 workers 18
  • 19. Limitation of this study Could not directly establish that the occupational injury arose as a result of heat stress. Unknown source or nature of the heat stress at work Not able to make direct measurements of work environments or occupational injury We classify this study as preliminary in nature. 19
  • 20. Compare with other studies Occupational heat stress is a problem in Thailand, especially in agriculture workplaces (Langkulsen et al 2010, Jakreng 2010) The younger age group reported more occupational injury (Curtis et al 2007) A higher risk of serious occupational injury among males (Fan et al 2012) The risk of injury related to job type, rural job location (Dembe et al 2004), and frequency of alcohol consumption (Dawson 1994) 20
  • 21. Significance of this study Heat stress increases the risk of serious injury among workers who are exposed to hot and humid work environments Hot and humidity together with workers’ physical exertion and dehydration can cause potentially heatrelated illness or heat exhaustion (fainting or collapse)  Increase occupational injury & associated costs  Reduce work performance and productivity The existing heat stress problem will worsen if global warming continues and workplaces become even more thermally stressful 21
  • 22. Significance of this study for Thailand Need to strengthen policy and guidelines on prevention and management of heat stress and occupational injury Thai workers must take safety precautions while working under heat stress policymakers should develop the interventions to prevent occupational injury, especially new young workers.  Prevention of heat stress-related injury through education, training and procedures is needed 22
  • 23. Future research Validation the self-reported measurement of heat exposure Direct observations of heat stress and its effects in informative work settings Investigate heat-related injury in different regions of Thailand because the geography and heat stress are different 23
  • 24. Conclusion  Association between heat stress & occupational injury reported here is a great concern.  Continued urbanisation & global warming will make these trends worse for workers in tropical developing countries: Thailand.  Injury interventions need to include strategies that mitigate occupational heat stress We need to develop and test interventions that reduce the number & severity of occupational injuries 24
  • 25. Acknowledgments  The International Collaborative Research Grants Scheme  The Wellcome Trust UK  The Australian National Health And Medical Research Council  The Thai Cohort Study team  Sukhothai Thammathirat Open University (STOU)  the STOU students  The Australian National University (ANU)  Department of health, Ministry of Public Health, Thailand 25

Notes de l'éditeur

  1. Tawatsupa B, Yiengprugsawan V, Kjellstrom T, Berecki-Gisolf J, Seubsman S, Sleigh A. The association between heat stress and occupational injury among Thai workers: finding of the Thai Cohort Study. Industrial Health. 2013 ;51(1):34-46.
  2. What is heat stress? The definition by American Conference of Industrial Hygienists (ACGIH ) &quot;Heat stress&quot; is the net (overall) heat burden on the body from the combination of the body heat generated from physical activities, environmental sources (air temperature, humidity, air movement, radiation from the sun or hot surfaces) and clothing requirements. How can heat stress have a potential health effects? Due to the human body is capable of maintaining its core temperature at around 37°C by keep balance between heat gain and heat loss of the body. *For heat gain, Body gain heat from internal heat source such as physical activity, *and the body absorb external heat due to high air temperature and humidity, low air movement, and high solar radiation 3) For heat loss, The natural methods used by humans include convection, conduction, and evaporation. Only evaporation will lower body temperature in a hot environment (Parsons, 2003). 3) *Evaporation leads to loss of body water and electrolytes by sweating. If there is high humidity, will reduce evaporation and cause less-effective cooling mechanism leading to cause potentially heat-related illness or heat exhaustion which could increase adverse health outcomes or possibly fatal conditions.
  3. The idea of overall study can show by this Conceptual framework: The pathway for health impacts causation by heat stress involves the linkages of human exposure to heat stress and cause impacts to their health. the health impacts from heat stress were selected to present the holistic of health impacts from climate change. At the beginning, I actually have 4 sub-studies aims at identifying the association between heat stress and health outcomes as follow 1) mental health impacts (for example: heat-related psychological distress, this is the 1st paper), 2) physical health impacts (the 2nd paper of heat-raletd kidney disease) 3) well-being impacts (my 3th paper is heat interfere daily activities affecting feeling of life dissatisfaction) 4) and paper no. 4 studied on the overall-heat related deaths Here I’m going to talk about the study of heat-related occupational injury!
  4. Why heat-related occupational injury is important? Global warming will increase heat stress at work. Rapid urbanization may cause workers to do heavy labour for long periods of time. Workers are exposed to excessive heat and are at risk of heat-related illness and increased occupational injury In the future, occupational injury risk in all countries could increase as a result of global warming Consequences of excessive heat stress - Heat stress may increase in the likelihood of occupational injury due to fainting, confusion, poor concentration, and psychological distress which resulting in reduced protection and unsafe working conditions
  5. What’s about heat stress effects in Thailand? Thailand: Thailand is a tropical developing country There are a large working population as a part of Industrial development, Demanding-labour works are need and ongoing climate change, lead to higher heat exposures in workers and most likely affect poor people in labouring occupations Thailand have both high air temperature and humidity, Particularly during the hot season. The average temperature in Thailand has already increased 0.74 °C over the last century and it is expected that extreme temperature events will become more prevalent in the future because of the urban heat island effect and progressive global warming
  6. Public health concern in Thailand Langkulsen et al. 18) revealed a very serious problem of heat stress that they classified as “extreme caution” or “danger” in a wide array of work settings Current warming trends are expected to exacerbate the problem due to further increases in air temperatures 19) However, information on occupational injury related to heat stress in Thailand is still quite limited These are photos of the paddy field and the steel mill in Thailand. At the steel mill, the extremely hot or molten material is the main source of heat. In heavy labor outdoor occupations like agriculture workers, summer sunshine is the main source of heat. This figure show that they are working during hot and carry the heavy container of water and fertilizer. Therefore, Aim of this study - To address the knowledge gap regarding work injury in Thailand, we used the baseline data of a large national adult cohort to examine the epidemiological association between heat stress and injury in the Thai workplace. ========= Occupational injury and disease data are recorded primarily through the Workmen&apos;s Compensation Fund (WCF) in order to provide cash benefits and medical care to insured workers who suffer workplace injury In 2008, more than 176,000 cases of occupational injury were reported; 613 cases were fatal and over 45,700 cases reported more than three days absence from work However, these injury records cover only formal employment which accounts for approximately a third of the Thai workforce 22) The reports do not capture events at informal work settings, including agricultural work in which heat-related injury is of particular concern due to physically demanding tasks in hot and humid weather
  7. For methodology of this study: We obtained the data from A large national Thai Cohort Study (TCS) in 2005. The TCS study on the health-risk transitionan in the Thai population by began with a 20-page mailout questionnaire covering health status and on a wide array of socioeconomic characteristics and health behaviours. As well, heat stress at work and occupational injury were recorded. There were 87,134 of total respondents aged 15-87 years enrolled as distance learning students at Sukhothai Thammathirat Open University (STOU) responded from all areas of Thailand. They represented the adult Thai population well for geographic distribution, income, age and social status 24). Further details about the questionnaire data collection and the attributes of respondents are given in Sleigh et al. (16). ---------------------------------------------------- The heat stress and the occupational injury questions were in different sections of the questionnaire so answers on these issues were independent of each other. The distribution and frequency of risk factors associated with non-traffic injuries by locations have been reported in two recent studies using baseline TCS data 25,26). -
  8. 1. The analysis was restricted to cohort members who reported engaging in paid-work in 2005 (N = 76,748) 2. The information on individual experiences of heat stress was derived from the question: “During the last 12 months, how often did you experience high temperatures which make you uncomfortable?”; respondents answered on a four point scale (“often”, “sometimes”, “rarely”, and “never”). For the main analysis of occupational injury, we grouped occupational heat stress into three ascending categories: “never” (rarely + never), “sometimes” and “often”. 3. Information on occupational injury was based on a series of questions of - “In the last 12 months how many serious injuries have you had that were enough to interfere with daily activities and/or required medical treatment?” with five answer choices (none, once, twice, three times, and four times or more). For analysis, injury frequency was dichotomised into “yes/no”. If injury was experienced more than once, respondents reported details on the type and place of their most serious injury.
  9. 1. Injury events were further characterised by location, identifying occupational injury as follows: - “Where were you when you were seriously injured?” (home, road, sports facility, workplace (agricultural), workplace (non-agricultural), or other). 2. We then excluded 3,581 workers (6%) who did not respond to one or more questions relating to covariates that were potential confounders of heat stress-injury effects. 3. The final analysis group included 58,495 workers (the blue balloon). 4. *Finally, we examined occupational injury among agricultural workers in Thailand. We restricted analysis to the 11,634 cohort members who worked in physical jobs in rural areas having excluded those who reported injury at non-agricultural workplaces.
  10. The covariates that could confound heat-injury effects were initially selected according to our previous experience with heat stress or injury analyses in other studies of the cohort 7,9,26). Only covariates with statistically significant chi-square tests to heat stress and to injury were included as confounders The covariates chosen included age, income in Baht/month (US$ 1=40 Baht in 2005), education level, alcohol consumption, smoking, Body Mass Index (using Asian cut-offs for obesity) 27), job location, job type, sleeping hours per day, existing illness in 2005 (heart or kidney disease, stroke or diabetes), and reports of “having to work very fast”.
  11. Data processing and statistical analysis The main analysis group included 58,495 workers and all epidemiological estimates were made separately for males (25,908) and females (32,587). First, using logistic regression, we calculated crude (bivariate) odds ratios for workplace heat stress and injury. Then all factors that could confound workplace heat stress effects on occupational injury (see above) were included as covariates in the multivariable logistic regression analyses. These produced fully adjusted odds ratios, and p-trends showing the dose-response of heat stress effects on occupational injury for males and females.
  12. *Overall, 18% (N=10,784) of the analysed group of 58,495 workers reported that they often experienced uncomfortably high temperatures at work This occurred more often among males than females (22% vs 16%). Females reported never/rarely experiencing heat stress at work more frequently than males (56% vs 44%). Further analyses for Serious injury at work over the previous year was reported by 5% of the whole cohort in 2005 (Table 2). It was higher among males than females (7% vs 4%). ------------------------------------ The type of occupational injury was heterogeneous but the most common categories were “blunt force” (24%), “stab-cut” (21%), “fall” (18%), and “other” (29%); females were more likely to fall and males were more likely to experience stab-cut or blunt force injury (Table 2).
  13. Then, we investigated the relationship of each covariate to the heat stress separately for males and females workers. For both sexes, all covariates significantly associated with occupational heat stress (except age group and education level in females). Occupational heat stress was notably higher for those with lower income, regular drinking, current smoking, obesity, sleeping less than six hours per day, having “existing illness”, and often “having to work very fast”. Workers in physical jobs had much more heat stress at work than did office workers (p-value&lt;0.001). Those who worked in rural areas more frequently reported heat stress at work than workers in urban area or Bangkok (p-value&lt;0.001).
  14. Then, separately for males and females, we investigated the relationship of each covariate to the occupational injury. The odds of occupational injury reduced significantly with age for both sexes (p-value&lt;0.001) (Fig. 3). Risks of occupational injury were higher among those with low income, working in physical jobs, sleeping less than 6 hours per day, having “existing illness”, and often “having to work very fast”. Most of these associations were significant and the pattern for males and females were similar; however, income and education effects were more extreme for males.
  15. - Occupational injury was reported by 10% of males who were often exposed to workplace heat stress compared to 4% who were never exposed. For females, occupational injury affected 7% who were often exposed to heat stress compared to 3% who were never exposed (Table 3). For both males and females the crude ORs linking heat stress and occupational injury showed a strong association (OR &gt; 2) and a notable dose response. The fully adjusted ORs derived from models that included all covariates The covariate-adjusted dose-response relationships of heat stress and occupational injury remained strong and significant for both sexes (adjusted OR for heat stress “often”-2.12 (males) and 1.90 (females), p-trend&lt;0.001). The heat-injury model is supported by a dose response whereby more heat stress associated with increased odds of injury.
  16. Finally, we explored effects of heat stress on occupational injury that occurred in the agriculture workplace by restricting analysis to those respondents who worked in rural areas with physical jobs, excluding those who reported injury at non-agricultural workplaces. Overall, 23% of physical workers in rural areas often experienced heat stress - 27% for males and 19% for females (data not shown). Heat stress in this restricted rural physical jobs group is higher than among the overall 58,459 working cohort members, for whom the overall rate was 18% (Table 2). The pattern linking heat stress and occupational injury at agricultural workplaces was similar to that shown for overall workers Male physical workers reported 228 occupational injuries at agricultural workplaces; these injuries affected 6% of those often exposed to heat stress compared to 3% of those unexposed (adjusted OR = 1.99). Female physical workers reported 84 occupational injuries at agricultural workplaces; these injuries affected 3% of those often heat stressed at work compared to 1% of the unexposed (adjusted OR = 2.58).
  17. Heat stress at work in Thailand has a strong and significant association with occupational injury. This is important because occupational heat stress affected nearly 20% of Thai workers in the national cohort. These findings add to a limited literature on the association between heat stress and occupational injury of Thai workers. The association between heat stress at work and occupational injury remained substantial and statistically significant after accounting for the effects of age, income, education, alcohol, smoking, Body Mass Index, job location, job type, sleeping hours per day, existing illness in 2005, and having to work very fast. For rural physical workers at agriculture workplaces we found a similar association between heat stress and occupational injury.
  18. The main advantage of this study is that it was based on a large national cohort of 58,495 workers who represent well working age Thais for geographic location, demographic attributes and socioeconomic status. The cohort data have a wide range of values for variables of interest, revealing the relationship between heat stress and occupational injury. We strengthened our results by the restricted analysis of 11,634 workers with physical jobs in rural areas, excluding those reporting injury in the non-agricultural workplaces. The patterns of the association between heat stress and occupational injury were similar to the overall analysis of 58,459 cohort workers.
  19. A limitation of this study could have arisen because we cannot prove that the injury occurred at the same time it could not directly establish that the occupational injury arose as a result of heat stress. There are some difficulties in interpreting causality between heat stress and occupational injury given that we cannot formally be sure that heat stress preceded occupational injury. Another problem is the unknown source or nature of the heat stress at work as this was not reported in the cohort data. Furthermore, we were not able to make direct measurements of work environments or occupational injury, so we classify this study as preliminary in nature.
  20. - Occupational heat stress is a problem in Thailand, especially in agriculture workplaces 18,29). Our study also found that Thais often work under heat stress, especially those with physical jobs in rural areas. The younger age group reported more occupational injury perhaps because of their lower socioeconomic status. They cannot afford to go to a regular university and are more likely to have a job with less safety 14). As expected from other studies, we found a higher risk of serious occupational injury among males 30,31). As with other studies on occupational injury, we found that the risk of injury related to job type, rural job location 32), and frequency of alcohol consumption 33). Other TCS studies reported associations between occupational heat stress and adverse health outcomes, including poor self-assessed overall health, psychological distress, and incident kidney disease among Thai workers 7,9). This study now adds additional concerns about the effects of heat stress on occupational injury in Thailand.
  21. - The findings support that occupational heat stress increases the risk of serious injury and ill-health among workers who are exposed to hot and humid work environments, especially in low income-tropical countries 4). The combination of hot weather and high humidity together with workers’ physical exertion and dehydration can cause potentially heat-related illness or heat exhaustion (fainting or collapse) which could increase occupational injury and associated costs as well as reduce work performance and productivity. Moreover, heat-stress related occupational injuries are especially important at present because we can expect that the existing heat stress problem will worsen if global warming continues and workplaces become even more thermally stressful 34).
  22. Given the constrained resources in middle-income Thailand and the lack of effective policy and guidelines on prevention and management of heat stress and occupational injury, our results on occupational injury are of particular concern. Thai workers must take safety precautions while working under heat stress policymakers should develop the interventions to prevent occupational injury, especially during summer for the new young workers. Prevention of heat stress-related injury through education, training and procedures is needed to protect workers in all type of work environments.
  23. We have used telephone contact to validate the occurrence of heat stress for 82% of a random sample of 135 cohort members who had self-reported heat stress. The validation boosts our confidence in the self-reported measurement of heat exposure. Now direct observations of heat stress and its effects in informative work settings are needed to add information on the physical and biomechanical mechanisms generating heat stress and linking it to injury and other adverse health effects. Also, we need to investigate heat stress-related injury so we can accurately characterize associated occupational injury. As well, we should investigate heat-related injury in different regions of Thailand because the geography and heat stress are different. For example, in Thailand temperatures vary considerably during the day and night in the North and vary little in the South. ========== We also queried the source of the heat and discovered that it often came from the prevailing external air temperature when working outdoors (48%), from the work process itself (31%), from working indoors without air conditioning (13%), or from working in a hot vehicle (6%).
  24. The association between occupational heat stress and occupational injury reported here is a great concern. Continued urbanisation and global warming will make these trends worse for workers in tropical developing countries like Thailand. Injury interventions in such settings need to include strategies that mitigate occupational heat stress. Also we need to develop and test interventions that reduce the number and severity of occupational injuries in Thailand.
  25. - This study was supported by the International Collaborative Research Grants Scheme with joint grants from the Wellcome Trust UK (GR071587MA) and the Australian National Health and Medical Research Council (NHMRC 268055), and as a global health grant from the NHMRC (585426). We thank the Thai Cohort Study team*, the staff at Sukhothai Thammathirat Open University (STOU) who assisted with student contact, and the STOU students who are participating in the cohort study.