Abstract
In recent years, the United States has experienced record-breaking summer heat. Climate change models forecast increasing U.S. temperatures and more frequent heat waves in coming years. This scoping review summarizes research findings that characterize U.S. occupational heat-related morbidity and mortality and identifies gaps in the existing research literature. Exposure to environmental heat is a significant, but overlooked, workplace hazard that has not been well-characterized or studied. The working population is diverse; job function, age, fitness level, and risk factors to heat-related illnesses vary. This review found that few studies examine or characterize the incidence of occupational heat-related illnesses and outcomes. More research on the effects of occupational heat exposure is needed to identify and implement evidence-based policies and interventions. Since heat-related health hazards at work can be anticipated before they manifest, preventive measures can be implemented before illness occurs. With no federal regulatory standards to protect workers from environmental heat exposure, and with climate change as a driver for adaptation and prevention of heat disorders, crafting policy to characterize and prevent occupational heat stress for all workers is increasingly sensible, practical, and imperative.
Keywords: occupational health, heat exposure, heat illnesses, worker safety, climate change
Introduction
In the United States, employees are legally entitled to a safe and healthy workplace. However, despite standards promulgated and enforced by the Occupational Safety and Health Administration (OSHA), every year millions of workers are injured and 4000–6500 die from work-related injuries (Thomsen et al. 2007; BLS 2011). Surveillance systems capture these data and are key for designing effective interventions to improve worker safety and health.
With a warming climate and more frequent extreme weather events predicted, exposure to ambient heat could become a prominent employee safety issue in the near future. Even small changes in average temperature can potentially translate into a substantial increase in the number of deaths and cases of severe illness (Kilbourne 1992). Yet both the general populace and public health officials often underestimate the impact of high temperatures on human health (Kravchenko et al. 2013).
Severe weather has always threatened human health. However, climate change is now recognized by the World Health Organization (WHO) as one of the leading global health threats of the 21st century (WHO 2009). The anticipated effects and importance of global climate change vary from region to region. In the U.S., increases in average ambient temperatures are expected and episodic heat waves are projected to increase in frequency (Christensen et al. 2007).
Heat-related disorders can arise from stress due to increased air temperature, humidity, radiant heat, and metabolic heat from strenuous physical work (Weeks et al. 1991). When ambient temperatures are high, the body becomes dependent on evaporative cooling and is susceptible to anything that restricts evaporation, such as high humidity, clothing, and low air movement (Budd 2008). As body temperature rises, cardiovascular strain increases as more blood is pumped through the skin and additional sweat is secreted, accelerating dehydration (Budd 2008).
Heat stress occurs when an individual has been overexposed or over-exercised for his/her age and physical well-being in the existing thermal environment (NOAA 2005). Generally, the body should maintain a core temperature within + 1°C of the normal 37°C core body temperature, (i.e., 100.4°F maximum) (ACGIH 2009). Illnesses due to heat occur along a continuum and may initially manifest as heat cramps or heat exhaustion; if left untreated these conditions can progress to heat stroke, which may be fatal. However, humans are capable of physiologically adjusting to heat, a process referred to as acclimatization. Acclimatization largely occurs within the first 4–6 days of repeated or continuous daily exposure and is usually complete within two weeks; the benefits decay quickly and are mostly lost 3 to 4 weeks after heat exposure ceases (WHO 1969). Heat waves are episodic, and although the population may adapt to gradual temperature increases, physiological adaptation to intermittent extreme heat events is considered unlikely (Patz et al. 2000).
Heat is the leading cause of weather-related deaths in the U.S. and, on average, claims more lives than lightening, tornadoes, hurricanes, and floods combined (NOAA 2011). The National Oceanic and Atmospheric Administration (NOAA) reported over 20,000 deaths in the U.S. were attributed to extreme heat from 1936 to 1975 (NOAA 2005). Due to recent heat waves in the U.S. and Europe, numerous studies have been published within the last decade on heat-related hospitalizations and deaths. Several studies characterized general population mortality risk and identified vulnerable sub-populations and risk factors (Semenza et al. 1996; Semenza et al. 1999; Knowlton et al. 2009; Bouchama et al. 2007; Stafoggia et al. 2006; Rey et al. 2009; Basu and Malig 2011; Josseran et al. 2009; Williams et al. 2012). Others examined heat wave temporal and spatial metrics associated with mortality (Anderson and Bell 2011; Basara et al. 2010; Gabriel and Endlicher 2011; Hondula et al. 2012; Son et al. 2012).
Although heat-related illnesses (HRI) can occur in healthy persons, major risk factors include: dehydration; obesity; poor physical condition; previous diagnosis of HRI; lack of acclimatization; febrile illness; deprivation, alcohol use, and disorders that affect sweating (Adelakun et al. 1999). Additional risk factors include wearing personal protective equipment (PPE), previous history of stroke, drug abuse, and use of certain medications, all of which can impair the body’s thermoregulatory responses (Kilbourne 1992; Adelakun et al. 1999). Individual characteristics as well as environmental circumstances can therefore play a profound role in the heat stress response.
Research on occupational heat exposure is more limited than population level studies and it has been argued that occupational exposure to climate change effects has received very little attention (Kjellstrom et al. 2009a; Kjellstrom et al. 2009b; Lin and Chan 2009; Hyatt et al. 2010; Holmer 2010; Hollowell 2010; Schulte and Chun 2009). Published empirical and epidemiological data on occupational heat stress are sparse and fragmented.
This scoping review aims to 1) determine the volume, nature, and characterization of the U.S. epidemiological research published on occupational heat-related morbidity and mortality; 2) describe and summarize the studies that exist; and 3) identify future research needed to better characterize this public health problem and ultimately inform policy-makers.
Methods
We conducted a broad scoping review (Arksey and O’Malley, 2005) to determine the size and nature of existing research in both the published and grey literature. The databases searched include: MEDLINE, PubMed, Web of Science, Cochrane Collaboration database, and web-based searches including public health and occupational organizations. Additional searches of bibliographies identified studies and reports not found in the electronic queries.
The following title words were used to search the databases: “worker”, “job”, “occupation”, “epidemiology” and derivatives of these words with the terms “heat”, “hot”, “weather”, “temperature”, “summer”, “environmental health”, “heat wave”, “morbidity”, “mortality”, and “fatalities”. Given the scarcity of the research, this search was broad and was not limited by dates, study quality, or study type. Population-level studies on ambient heat exposure that incorporated occupational data were also included, as were occupational injury studies that included heat exposures. Research reports on heat-related exposures to indoor heat sources, such as kitchen and steel-working environments, were not included in the scope of this review. While this review focuses on studies conducted in the U.S., research performed elsewhere and non-occupational studies are described in this paper to provide context for characterizing this public health problem.
Public Health and Occupational Studies and Reports
Public health surveillance data are necessary to determine the magnitude of the problem of occupational injuries and illnesses, identify workers at greatest risk, and develop prevention priorities (Thomsen et al. 2007). The Bureau of Labor Statistics (BLS), part of the Department of Labor, issues annual reports on the number of workplace injuries, illnesses, and fatalities in the U.S. The BLS conducts the annual Survey of Occupational Injuries and Illnesses and also collects information on workplace fatalities via the Census of Fatal Occupational Injuries. Military databases also capture work-related health data.
Surveillance of U.S. worker illnesses and injuries is not optimal and it is well-established that occupational illnesses and injuries are under-counted (Miller 2008; Rosenman et al. 2006; AFL-CIO 2011; Taiwo et al. 2010). Occupational illnesses in general are challenging to diagnose for several reasons: 1) similarities in the clinical presentation and pathophysiology of illnesses resulting from occupational and non-occupational exposures; 2) the latency period between exposure and symptom onset; 3) the multifactorial etiology of many diseases; and 4) if doctors do not inquire about work-related hazards, patients may not communicate such exposures (Taiwo et al. 2010). Further, there are many reasons why employees may not report illness or injury to employers, including: 1) fear of discipline, termination or being labeled as a problem employee; 2) economic incentives; and 3) foreign-born workers may fear being reported to the U.S. Citizenship and Immigration Services (AFL-CIO 2011). All of these factors, including lack of physician and patient awareness, may explain the underreporting and under-diagnosis of heat disorders, particularly in the working population.
Since heat exposure can contribute to accidents and cardiovascular or respiratory problems, estimates for worker HRI are even more problematic as it is difficult to recognize as a contributing factor to illness or death. Moreover, the criteria to define heat-related deaths may differ by state, and among physicians, medical examiners, and coroners (Donoghue et al. 1997). Even with a correct HRI diagnosis, the case may not be reported as work-related.
Each year, thousands of occupational heat-related illnesses are documented and during the last decade, more than 350 civilian workers died on the job due to environmental heat exposure (BLS 2013). These data may not include severe or fatal injuries or illnesses, such as falls or myocardial infarctions, for which heat was a contributory cause. In 1986, the National Institute for Occupational Safety and Health (NIOSH) estimated 5 to 10 million workers in the U.S. are exposed for at least part of the year to hot work conditions that can seriously threaten their health (NIOSH 1986); yet, the incidence of occupational HRI in the U.S. is not known and updated exposure estimates have not been published.
The American Conference of Government Industrial Hygienists (ACGIH), NIOSH, and the International Organization for Standardization have published guidelines aimed at preventing occupational heat stress (ACGIH 2009; NIOSH 1986; ISO 1989). These documents are highly technical, using sophisticated calculations for individual metabolic heat load, including clothing and work type, as well as applying wet bulb globe temperature (WBGT) measurements to determine apparent temperature exposure. These structured guidelines are intended for use by industrial hygienists and occupational clinicians for employees in their particular work environments. Employers who lack such specialized positions and equipment may be left without any heat stress prevention program.
Few population-level studies on HRI have captured and reported occupational cases. A study of nonfatal natural and environmental injuries treated in emergency departments in the U.S. from 2001 to 2004 reported that 78.3% (20,775) of these injuries were heat-related and heat was the most common cause for environmental injury across all age categories (Sanchez et al. 2010). People with heat-related injuries had a median age of 34, 73.7% were males, and 73% of the heat-related diagnoses were heat exhaustion. An estimated 40.3% of the cases were from occupational exposures, however these cases were not further characterized.
Several studies have exclusively investigated heat illness related to exertion. Nelson et al. (2011) stated exertional heat-related disorders are a risk to all physically active individuals in warm or hot environments. Consequently workers are at high risk to heat stress given that most outdoor work requires some level of activity, and at times considerable exertion or endurance. A study of all exertional heat-related injuries treated in emergency departments in the U.S., 1997–2006 (Nelson et al. 2011) found the number of these injuries increased significantly over a ten year time period, from 3192 (95% CI = 1290 – 5093) in 1997 to 7452 (95% CI = 4270 – 10636) in 2006 (p = 0.002). Occupational cases were included, however they were not specifically identified in this study.
Several work-related risk factors for heat stress have been noted in the literature. Just as with occupational injuries in general, a worker’s length of service in a particular job appears inversely related to the occurrence of HRI. This might be explained by inadequate training, acclimatization, or physical fitness for the job. Maeda et al. (2006) found that a short duration of forestry service was associated with onset of heat stroke among Japanese forestry workers. In a case-series of exertional heat stroke in the Israeli military, 50% of the cases occurred during the first six months of service (Epstein et al. 1999). Therefore HRI training also plays a notable role in illness prevention as dehydration can negate the advantages conferred by physical fitness and heat acclimatization (Ekblom et al. 1970).
The military has performed numerous studies on the health of soldiers and the effects of extreme heat, as heat exposure has historically been a military concern (Hollowell 2010; Epstein et al. 1999; Carter et al. 2005; Dellinger et al. 1996; Gardner et al. 1996). In the aforementioned case series analysis of military heat stroke cases, Epstein et al. (1999) reported that 60% of cases in Israeli soldiers occurred in overweight soldiers and that heat stroke occurs mainly within the first two hours of exercise. These findings are relevant to U.S. worker safety as well since obesity is a growing health problem in the U.S. (CDC 2010).
Only North Carolina, Florida, and Washington States have published reports characterizing heat-related illnesses and fatalities either targeting, or including, those identified as work-related. These reports and other U.S. studies on occupational heat-related morbidity and mortality that met this study’s review criteria are summarized in Table 1.
Table 1.
Study | Study Design/Population Characteristics | Main Findings |
---|---|---|
Florida Department of Health (2011) | Descriptive Case Series Occupational heat-related illnesses treated in Florida hospitals and emergency departments using Workers’ Compensation records 2005–2009 N = 2198 |
|
King BS, Gibbins JD (2011) | Health Hazard Evaluation/Case Study All workers involved in the Deepwater Horizon Response 2130 total illnesses/injuries reported to the Unified Area Command N = 192 HRI |
|
Bonauto D, Rauser E, Lim L (2010) | Descriptive Case Series Workers’ Compensation claims for HRI 2000–2009 Washington State N= 483 |
|
Luginbuhl RC, Jackson LL, Castillo D, Loringer KA (2008) | Descriptive Case-Series U.S. workers 1992–2006 Census of Fatal Occupational Injuries All heat-related deaths N= 423 |
|
National Institute of Occupational Safety and Health (NIOSH) (2006) | Health Hazard Evaluation (Case Study) Palm Beach International Airport, Florida Aug 28–31, 2004 23 acclimatized participants |
|
Carter R 3rd, Cheuvront SN, Williams JO, et al (2005) | Descriptive Case Series Heat illnesses and deaths for US Army 1980–2002 Total Army Injury Health Outcomes Database N= 5246 HRI hospitalizations 37 HRI deaths |
|
Mirabelli MC, Richardson DB (2005) * | Descriptive Case Series North Carolina residents 1977–2001 Medical examiners records-all heat-related deaths N = 161 total HR deaths; 40 worker deaths |
For job related deaths: 58% black; 100% male; 41 median age; 20% history of drug/alcohol abuse; 5% alcohol detected at time of death. 45% were farm laborers |
Donoghue AM (2004) | Descriptive Case Series US Mining Industry 1983–2001 MSHA accident, injury, illness and employment database N = 538 HRI cases |
|
Krake A, Mccullough J, King B (2003) | Health Hazard Evaluation (Case Study) Grand Canyon Nat Park Primary investigation conducted June 26–July 4, 2000 15 participants |
|
Dellinger AM, Kachur PS, Sternberg E, Russell J (1996) | Case Study Army National Guard involved in flood relief in Illinois July 5–Aug 18, 1993 N= 214 injuries/illness 23 (19.3%) HRI cases |
|
Gardner JW, Kark JA, Karnei K, et al (1996) | Matched Population-based Case-control Study Male Marine Corp recruits in basic training Parris Island, NC 1988–1992 528 HRI cases/1725 controls 391 HRI cases/1467 controls had measurements for analyses |
|
The study population included all deaths; however the authors also characterized heat-related deaths for those that were determined to be work-related.
Fredricks et al. (2005) conducted a survey of roofing workers to better examine specific types of injuries and potential causes. Unfortunately, they did not present the data by month or study injuries associated with weather variables. However, the surveyed roofers contended that an extra 10°C (~15–20°F) is generated while working on a roof with black asphalt shingles in direct sunshine – corroborating OSHA’s counsel that working in direct sunshine can add up to 15°F to the temperature that the body perceives (OSHA 2011). To compensate for this, the roofers’ schedules are temporally shifted, with work performed primarily in the early morning or evening.
Several incident-specific evaluation reports of occupational HRI exist. Krake et al. (2003) reported on health hazards to park rangers from excessive heat at the Grand Canyon National Park. The investigation disclosed that most of the 2000 visitor rescues performed by the rangers each year are due to HRI, yet the rangers did not always follow procedures to prevent HRI in themselves. All participants monitored during this one week study exceeded at least one ACGIH criterion for heat stress (e.g., heart rate, respiratory rate, core body temperature, etc.). NIOSH also investigated employee heat exposure on the tarmacs at Palm Beach International Airport (NIOSH 2006); most monitored employees similarly exceeded ACGIH criteria. Although both reports identified unhealthy heat exposures, further exploration into industry- or occupation-wide HRI was not performed.
The effect of environmental heat on the responders to environmental disasters is noteworthy. Thousands of people, with varying degrees of training and fitness, may be deployed to respond to a major event. The responders can be exposed to numerous environmental threats, including ambient heat exposure. For example, during clean-up operations of the Deepwater Horizon Gulf Oil Spill of April 2010, over 739 incidents of illness due to heat were reported, some of which were very serious (OSHA 2012). The NIOSH Health Hazard Evaluation of Deepwater Horizon Response Workers revealed that the conditions for heat stress were present, significant, and often the most pressing concern for the health and safety of the response workers; the required PPE intensified the health effects related to heat (King and Gibbins 2011).
The use of PPE exacerbates the risk for heat stress. PPE can contribute to heat-related injuries in conditions that are not considered excessively hot, because the equipment/clothing can prevent heat loss from the body and lead to hyperthermia (Crockford 1999). This added risk is evident in a Washington State study that found the average HRI ambient temperature affecting firefighters was only 78.7° F compared to 88.6° F (p<0.001) for other occupations (Bonauto et al. 2010).
In addition to direct health effects, other occupational research related to the potential effects of climate change examines the effects of increased heat exposure from the perspective of productivity and economics (Kjellstrom et al. 2009a; Kjellstrom et al. 2009b; Lin and Chan 2009). Increased heat will decrease workers’ abilities to perform and decrease productivity (Weeks et al. 1991; Lin and Chan 2009; Chen et al. 2003; Ramsey 1995). Since many low and middle income countries rely primarily on agriculture, this could have a devastating effect on both familial and national economies. Although this is very relevant for lower income economies, in countries such as the U.S., there still exists the competing situation between employee health, personal income, and business productivity (Hyatt et al. 2010). Notably, farm workers in many states are paid by the piece (amount harvested) and individuals may choose to not take employer-provided breaks if it will negatively influence their income.
Occupational Standards
Congress created OSHA with the Occupational Safety and Health Act (OSH Act) of 1970 to ensure safe and healthful conditions for working people. OSHA sets and enforces standards and conducts inspections of facilities to assess compliance. The Agency also provides training, outreach, education, and assistance (www.osha.gov/workers.html).
In addition to specific industrial standards, employers must also comply with the General Duty Clause of the OSH Act, which requires employers to keep their workplaces free of serious recognized hazards (www.osha.gov). This clause, in Title 29 U.S. Code 654, may be cited when no OSHA standard applies to the hazard, such as a fatality due to excessive environmental heat exposure.
Occupational heat stress is not a novel issue. The military pioneered studies on heat illnesses and enforced guidelines at training facilities to reduce heat causalities in 1953 (Minard et al. 1957). Formal CDC epidemiological investigations of work-related heat illnesses date back to 1957 (Falk and Briss 2011). NIOSH recommended a heat exposure standard to OSHA in 1972 and updated that recommendation in 1986 (NIOSH 1972; NIOSH 1986). Despite the history and the evidence that heat stress is an occupational hazard, neither OSHA nor MSHA have promulgated standards for environmental heat exposure under the U.S. Code of Federal Regulations and uniform heat stress prevention policies do not exist.
Few states have implemented occupational heat exposure regulations. Only California (CA Code of Regulations 2012) and Washington (WA State Legislature 2012) have standards for outdoor heat exposure, while Minnesota has an indoor heat exposure standard (MN Administrative Rules 2012).
OSHA, with the support of California OSHA and NIOSH, launched a heat illness prevention campaign in the summer of 2011. The aim of this voluntary program is to educate both employers and employees on recognition and prevention of heat illness by targeting outdoor workers. The OSHA website provides information on risks, prevention, signs and symptoms, and first aid for heat illnesses (www.osha.gov/SLTC/heatstress/). The Mine Safety and Health Administration (MSHA) also has voluntary guidelines and recommendations for preventing thermal stress in workers (MSHA 2012).
Research Needs
Injuries exact a huge toll in U.S. workplaces, with 12–13 deaths and thousands of non-fatal injuries occurring on a typical day (BLS 2011); the associated economic costs are estimated at $250 billion annually for occupational injuries, illnesses, and deaths (CDC 2012). The costs to the nation are as high as some prominent diseases, yet the investment in occupational injury prevention is miniscule compared to resources dedicated to disease prevention research (NIOSH 1998).
Occupational exposures to heat may be more hazardous than community exposures as the individual has less control over the work environment and activities. Budd (2008) suggests that HRI are more likely to develop when behavioral responses are not allowed to occur normally because of military discipline, business pressures, team effort, or personal motivation.
Many of those with the most hazardous jobs – migrant workers, immigrants, day workers, and/or those with lower socioeconomic status – are also most likely to have sub-standard housing that lacks air conditioning (Culp et al. 2011; Vallejos et al. 2011; Lowry et al. 2010). Thus, these individuals are at even greater risk of heat-related illnesses because they cannot cool their bodies adequately during the nighttime hours, which is critical for preventing HRI (Kalkstein and Davis 1989). It is estimated that there are more than one million migrant workers in the U.S. (Kandel 2008) who travel to find seasonal work in agriculture and live transiently near their workplaces. Many workers have no education, low income, no health insurance, chronic health problems, and live in sub-standard housing, which are individually significant risk factors for heat-related morbidity and mortality (Culp et al. 2011; Vallejos et al. 2011; Lowry et al. 2010).
To the authors’ knowledge, no research has specifically examined the potential differences in the impact of rising ambient temperatures on workers as compared to the general population. Indeed, climate change vulnerability in the general population and vulnerability in the occupational sector are not mutually exclusive. Sensitive sub-populations are also part of the U.S. working sector. However, it is not known if findings from population-level studies systematically extend to occupational health risks and outcomes. Occupational heat stress studies should evaluate: 1) the incidence of occupational HRI in the U.S.; 2) the effect of heat on accident and injury rates; 3) spatial and temporal patterns; 4) urban heat islands; 5) environmental and occupational factors; 6) vulnerable worker sub-groups; 7) existing interventions and training programs; 8) warning systems and risk communication; 9) economic analyses; and 10) translational research to bridge the science into the policy realm.
Incidence of Occupational HRI in the U.S
Determining the incidence of HRI and characterizing this hazard in the working population (e.g., age, sex, occupations/industries at risk) is a research priority. The scope and magnitude of the problem needs to be determined to inform public health officials, to provide improved risk communication, and to incite a change in policy.
Heat Effects on Incidence of Accidents and Injuries
There is limited evidence that the indirect effects of heat include increased accident risk and adverse impacts on worker behavior (Park et al. 2009; Ramsey 1995). The MSHA guideline, Heat Stress in Mining (MSHA 2012), states that heat stress can also be expressed in the form of irritation, anger, or other emotions leading to rash acts by persons performing hazardous jobs. Since most heat wave population studies exclude accidents from the analyses, the incidence of injuries during these extreme weather events is unstudied. Research to characterize the magnitude and types of occupational injuries occurring during high ambient temperatures would fill a significant gap in injury research.
Spatial and Temporal Patterns
The spatial patterns of occupational heat-related fatalities should be characterized to determine if acclimatization in the South has a protective effect on workers. This phenomenon seems to hold true for U.S. Army soldiers (Carter 2005). However, many Southern workers may experience an opposite effect due to poor housing conditions.
The impact of high heat exposure earlier in the summer season when workers are less acclimatized warrants analysis as population-level studies find that heat waves in the early summer are associated with higher mortality rates (Anderson and Bell 2011).
Urban Heat Islands
Many factors cause the urban heat island effect, including urban thermal storage, increased anthropogenic heat flux, decreased terrestrial radiation loss, and increased radiation due to particulates and greenhouse gases (Basara et al 2010). Urban areas also lack green spaces for shade, and all of these factors result in elevated day and nighttime temperatures. The impact of urban heat islands has been demonstrated in population-level studies (Basara et al. 2010) and this phenomenon’s impact on occupational heat stress calls for specific examination.
Environmental and Occupational Exposures
Further HRI research is needed on the effects of heat exposure in combination with humidity, air pollution, allergens, air pressure, air speed and lack of cloud cover (Kravchenko et al. 2013). The synergistic effects of occupational exposures such as dust, pesticides, and other occupational hazards must be considered.
Analysis of the overall anticipated impacts of climate change on worker safety in the U.S. would also be instrumental. For example, the potential effect of increased heat, decreased cold, and increased severe weather on the overall working population warrants study in light of the variability of our changing climate.
Vulnerable Working Populations
Vulnerable sub-groups such as migrant workers, workers with poor housing, crop workers paid by amount harvested, first responders, volunteers, and those required to wear encumbering PPE also deserve particular study.
Evaluation of Interventions and Training Programs
The impact of employers’ HRI prevention programs and employee training require further investigation. Evaluations of interventions are needed to inform decision-makers of measures proven effective.
Evaluation of Warning Systems and Risk Communication
Whether established community heat alert levels are appropriate and adequately communicated to workers should be researched, as well as the adequacy of the temperature thresholds that elicit a warning. Heat warning systems can be tailored specifically for workers. Risk communication is needed for the general populace, as well as those with individual risk factors and in high-risk occupations. Perceptions of risk to HRI should also be studied.
Economic Analyses
Economic analyses of implementing worker heat stress intervention programs for various industry sectors and establishment sizes should be considered. Washington State performed a cost-benefit impact analysis of heat illness prevention programs on small businesses and found the economic benefits outweighed the monetary costs due to reducing Workers’ Compensation claim costs, indirect costs associated with illness/injury, and productivity loss due to worker dehydration (WSDLI 2008). Introduction of heat stress prevention programs may prove to be economically beneficial in different sectors and states and provide an incentive for businesses to establish such programs.
Translational Research
Translation converts scientific and technically complex research into common language and actionable concepts in the practice setting (Wandesman et al. 2008). The increasing body of occupational and heat exposure research will require synthesis and translation into the policy arena.
A policy response to protect workers from heat is a low-risk adaptation strategy as standards and improved guidelines are currently needed. Climate change is a driver for adaptation and prevention of heat disorders; workers are a research-neglected vulnerable sub-population. Consequently, intensified research and policy development for occupational heat stress risk factors and effective interventions are increasingly essential.
Conclusion
Despite calls for research on occupational heat stress, this arena of climate change research is not adequately regarded as a priority and remains poorly studied. Empirical and epidemiological studies on occupational heat exposure and illnesses are insufficient and not generalizable for appropriate hazard characterization. The incidence of occupational heat-related disorders in the U.S. is not known although millions of workers have some level of exposure to hot environments. This is at odds with the recommendations of the 2008 World Health Assembly which delineated five climate change research priorities, including: 1) the scale and nature of health vulnerability; 2) health protection strategies, including cost-effectiveness; 3) decision support and other tools, such as surveillance and monitoring, for assessing vulnerability and health impacts; and 4) assessment of the likely financial costs and other resources for health protection (WHA 2008). Occupational health research clearly falls under the auspices of these recommended research priorities.
There is a clear need to focus on adaptation to climate change, and not just mitigation, as it is already impacting health world-wide. Targeted research on the association of age, sex, existing illnesses, occupation/industry, geographical location, environmental conditions, and other variables is needed so evidence-based interventions can be designed and implemented to protect this climate-vulnerable population.
Acknowledgments
The authors would like to thank David Michaels, PhD, MPH, Assistant Secretary of Labor for OSHA and Professor (on leave) in the Department of Environmental and Occupational Health, The George Washington University School of Public Health and Health Services, for his valuable review. The authors also thank the reviewers for their thoughtful recommendations and constructive comments.
Funding: Dr. Anderson was supported by an R21020152 from the National Institute of Environmental Health Sciences.
Footnotes
Conflict of Interest Statement: Diane Gubernot has no financial disclosures and is an employee of the U.S. Food and Drug Administration. The content of this manuscript is solely the responsibility of the authors and does not necessarily represent the official views of the U.S. F.D.A. Dr. Hunting has no financial disclosures. Dr. Anderson has no financial disclosures.
Public Discloser Statement: No financial disclosures were reported by the authors of this paper.
The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institute of Environmental Health Sciences or the National Institutes of Health.
Contributor Information
Diane M. Gubernot, The George Washington University School of Public Health and Health Services, Department of Environmental and Occupational Health, Washington, D.C.
G. Brooke Anderson, Johns Hopkins Bloomberg School of Public Health, Department of Biostatistics, Baltimore, MD.
Katherine L. Hunting, The George Washington University School of Public Health and Health Services, Department of Environmental and Occupational Health, Washington, D.C.
References
- Adelakun A, Schwartz E, Blais L. Occupational heat exposure. Appl Occup Environ Hyg. 1999;14(3):153–4. doi: 10.1080/104732299303070. [DOI] [PubMed] [Google Scholar]
- AFL-CIO Safety and Health Department. A national and state-by-state profile of worker safety and health in the United States. 20 2011. Death on the job- the toll of neglect. [Google Scholar]
- American Conference of Governmental Industrial Hygienists (ACGIH) Heat Stress and Stain. TLVs. 2009 Available at: www.acgih.org/store/
- Anderson GB, Bell ML. Heat waves in the United States: mortality risk during heat waves and effect modification by heat wave characteristics in 43 U.S. communities. Environ Health Perspect. 2011;119(2):210–8. doi: 10.1289/ehp.1002313. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Arksey H, O’Malley L. Scoping studies: towards a methodological framework. Inter J Social Res Meth. 2005;5(8):19–32. [Google Scholar]
- Basara JB, Basara HG, Illston BG, Crawford KC. The impact of the urban heat island during an intense heat wave in Oklahoma City. Adv Meteorol. 2010 doi: 10.1155/2010/230365. [DOI] [Google Scholar]
- Basu R, Malig B. High ambient temperature and mortality in California: Exploring the roles of age, disease, and mortality displacement. Environ Res. 2011;111(8):1286–92. doi: 10.1016/j.envres.2011.09.006. [DOI] [PubMed] [Google Scholar]
- Bonauto D, Rauser E, Lim L. Occupational heat illness in Washington State, 2000–2009. Washington State Department of Labor & Statistics. Technical Report Number 59-2-2010. 2010 Available at: http://www.lni.wa.gov/Safety/Research/Files/OccHeatRelatedIllnessWa20002009.pdf.
- Bouchama A, Dehbi M, Mohamed G, Matthies F, Shoukri M, Menne B. Prognostic factors in heat wave-related deaths. Arch Intern Med. 2007;167(20):2170–6. doi: 10.1001/archinte.167.20.ira70009. [DOI] [PubMed] [Google Scholar]
- Budd GM. Wet-bulb globe temperature (WBGT) – its history and its limitations. J Sci Med Sport. 2008;11(1):20–32. doi: 10.1016/j.jsams.2007.07.003. [DOI] [PubMed] [Google Scholar]
- Bureau of Labor Statistics (BLS) [Accessed: September 9, 2011 through March 2013.];Injuries, Illnesses, and Fatalities databases. 2013 Available at: http://www.bls.gov/iif/
- California Code of Regulations. [Accessed: March 20, 2012];Title 8, Section 3395. Heat Illness Prevention. 2012 Available at: www.dir.ca.gov/Title8/3395.html.
- Carter R, 3rd, Cheuvront SN, Williams JO, et al. Epidemiology of hospitalizations and deaths from heat illness in soldiers. Med Sci Sports Exerc. 2005;37(8):1338–44. doi: 10.1249/01.mss.0000174895.19639.ed. [DOI] [PubMed] [Google Scholar]
- Centers for Disease Control and Prevention (CDC) Vital signs: State-specific obesity prevalence among adults—United States, 2009. Morb Mort Weekly Rep. 2010;59 [PubMed] [Google Scholar]
- Centers for Disease Control and Prevention (CDC) . [Accessed: May 8, 2012];Statement by John Howard, M.D., Director, Naitonal Institute for Occupational Safety and Health (NIOSH), for Workers Memorial Day. 2012 Available at: http://www.cdc.gov/NIOSH/updates/upd-04-27-12.html.
- Chen ML, Chen CJ, Yeh WY, Huang JW, Mao IF. Heat stress evaluation and worker fatigue in a steel plant. Am Ind Hyg Assoc J. 2003;64(3):352–359. doi: 10.1080/15428110308984827. [DOI] [PubMed] [Google Scholar]
- Christensen JH, Hewitson B, Busuioc A, et al. Regional climate projections. In: Solomon S, Qin D, Manning M, et al., editors. Climate Change 2007: The Physical Science Basis. Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge and New York: Cambridge University Press; 2007. pp. 847–940. [Google Scholar]
- Crockford GW. Protective clothing and heat stress: introduction. Ann Occup Hyg. 1999;43(5):287–8. [PubMed] [Google Scholar]
- Culp K, Tonelli S, Ramey SL, Donham K, Fuortes L. Preventing heat-related illness among Hispanic farmworkers. AAOHNJ. 2011;59(1):23–32. doi: 10.3928/08910162-20101228-01. [DOI] [PubMed] [Google Scholar]
- Dellinger AM, Kachur PS, Sternberg E, Russell J. Risk of heat-related injury to disaster relief workers in a slow-onset flood disaster. J Occup Environ Med. 1996;38(7):689–92. doi: 10.1097/00043764-199607000-00011. [DOI] [PubMed] [Google Scholar]
- Donoghue ER, Grahan MA, Jentzen JM, Lifschultz B, Luke JL, Mirchandani HG. Criteria for the diagnosis of heat-related deaths: National Association of Medical Examiners: Position paper. National Association of Medical Examiners Ad Hoc Committee on the Definition of Heat-Related Fatalities. Am J Forensic Med Pathol. 1997;18(1):11–4. doi: 10.1097/00000433-199703000-00002. [DOI] [PubMed] [Google Scholar]
- Donoghue AM. Heat illness in the U.S. mining industry. Am J Ind Med. 2004;45(4):351–6. doi: 10.1002/ajim.10345. [DOI] [PubMed] [Google Scholar]
- Ekbom B, Greenleaf JE, Hermansen L. Temperature regulation during exercise dehydration in man. Acta Physiol Scand. 1970;79:475–483. doi: 10.1111/j.1748-1716.1970.tb04748.x. [DOI] [PubMed] [Google Scholar]
- Epstein Y, Moran DS, Shapiro Y, Sohar E, Shemer J. Exertional heat stroke: a case series. Med Sci Sports Exerc. 1999;31(2):224–8. doi: 10.1097/00005768-199902000-00004. [DOI] [PubMed] [Google Scholar]
- Falk H, Briss P. Environmental and injury related epidemic-assistance investigations, 1946–2005. Am J Epidemiol. 2011;174(11 Suppl):S65–S79. doi: 10.1093/aje/kwr313. [DOI] [PubMed] [Google Scholar]
- Florida Department of Health. Division of Environmental Health, Bureau of Environmental Public Health Medicine. Descriptive analysis of occupational heat-related illness treated in Florida hospitals and emergency departments. 2011 Available at: www.myfloridaeh.com/newsroom/heatillness.pdf.
- Fredericks TK, Abudayyeh O, Choi SD, Wiersma M, Charles M. Occupational injuries and fatalities in the roofing contracting industry. J Construction Eng Manage. 2005;131(11):1233–40. [Google Scholar]
- Gabriel KMA, Endlicher WR. Urban and rural mortality rates during heat waves in Berlin and Brandenburg, Germany. Environ Pollut. 2011;159(8–9):2044–50. doi: 10.1016/j.envpol.2011.01.016. [DOI] [PubMed] [Google Scholar]
- Gardner JW, Kark JA, Karnei K, et al. Risk factors predicting exertional heat illness in male Marine Corps recruits. Med Sci Sports Exerc. 1996;28(8):939–44. doi: 10.1097/00005768-199608000-00001. [DOI] [PubMed] [Google Scholar]
- Hambling T, Weinstein P, Slaney D. A review of frameworks for the developing environmental health indicators for climate change and health. Int J Environ Res Public Health. 2011;8(7):2854–75. doi: 10.3390/ijerph8072854. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Hanna EG, Kjellstrom T, Bennett C, Dear K. Climate change and rising heat: population health implications for working people in Australia. Asia Pac J Public Health. 2011;23(2 Suppl):14S–26. doi: 10.1177/1010539510391457. [DOI] [PubMed] [Google Scholar]
- Hollowell DR. Perceptions of, and reactions to, environmental heat: a brief note on issues of concern in relation to occupational health. Glob Health Action. 2010;3 doi: 10.3402/gha.v3i0.5632. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Holmer I. Climate change and occupational heat stress: methods for assessment. Global Health Action. 2010;13:3. doi: 10.3402/gha.v3i0.5719. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Hondula DM, Davis RE, Leisten MJ, Saha MV, Veazey LM, Wegner CR. Fine-scale spatial variability of heat-related mortality in Philadelphia County, USA, from 1983–2008: a case-series analysis. Environ Health. 2012;11:16. doi: 10.1186/1476-069x-11-16. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Hyatt OM, Lemke B, Kjellstrom T. Regional maps of occupational heat exposure: past, present and potential future. Global Health Action. 2010;2 doi: 10.3402/gha.v3i0.5715. [DOI] [PMC free article] [PubMed] [Google Scholar]
- International Organization for Standardization. ISO 7243:1989 Hot environments - Estimation of the heat stress on working man, based on the WBGT-index (wet bulb globe temperature. 1989 Available at: http://webstore.ansi.org.
- Josseran L, Caillere N, Brun-Ney D, et al. Syndromic surveillance and heat wave morbidity: a pilot study based on emergency departments in France. BMC Med Inform Decis Mak. 2009;9:14. doi: 10.1186/1472-6947-9-14. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kalkstein LS, Davis RE. Weather and human mortality: an evaluation of demographic and interregional responses in the United States. Ann Assoc Am Geographers. 1989;79(1):44–64. [Google Scholar]
- Kandel W. Profile of hired farmworkers, a 2008 update. USDA. Economic Research Service. Report No. 60. 2008 Available at: www.ers.usda.gov/media/205619/err60_1_.pdf.
- Kilbourne EM. Illness due to thermal extremes. In: Last JM, Wallace RB, editors. Public Health and Preventive Medicine. 13. Norwalk, CT: Appleton Lang; 1992. [Google Scholar]
- King BS, Gibbins JD. Centers for Disease Control and Prevention. NIOSH. Health Hazard Evaluation of Deepwater Horizon Response Workers. Health Hazard Evaluation Report HETA 2010-0115 & 2010-0129-3138. 2011 Available at: http://www.cdc.gov/niosh/hhe/reports/pdfs/2010-0115-0129-3138.pdf.
- Kjellstrom T, Holmer I, Lemke B. Workplace heat stress, health and productivity – an increasing challenge for low and middle-income countries during climate change. Glob Health Action. 2009a:2. doi: 10.3402/gha.v2i0.2047. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kjellstrom T, Kovats S, Lloyd SL, Holt T, Tol RSJ. The direct impact of climate change on regional labor productivity. Arch Environ Occup Health. 2009b;64(4):217–27. doi: 10.1080/19338240903352776. [DOI] [PubMed] [Google Scholar]
- Knowlton K, Rotkin-Ellman M, King G, et al. The 2006 California heat wave: impacts on hospitalizations and emergency department visits. Environ Health Perspect. 2009;117(1):61–7. doi: 10.1289/ehp.11594. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Krake A, Mccullough J, King B. Health hazards to park rangers from excessive heat at Grand Canyon National Park. Appl Occup Environ Hyg. 2003;18(5):295–317. doi: 10.1080/10473220301364. [DOI] [PubMed] [Google Scholar]
- Kravehenko J, Abernethy AP, Fauzy M, Lylerly HK. Minimization of heatwave morbidity and mortality. Am J Prev Med. 2013;44(3):274–82. doi: 10.1016/j.amepre.2012.11.015. [DOI] [PubMed] [Google Scholar]
- Lin RT, Chan CC. Effects of heat on workers’ health and productivity in Taiwan. Glob Health Action. 2009:2024. doi: 10.3402/gha.v2i0.2024. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Lowry SJ, Blecker H, Camp J, et al. Possibilities and challenges in occupational injury surveillance of day laborers. Am J Ind Med. 2010;53(2):126–34. doi: 10.1002/ajim.20741. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Luginbuhl RC, Jackson LL, Castillo D, Loringer KA. Heat-related deaths among crop workers – United States, 1992–2006. Morb Mortal Wkly Rep. 2008;57(24):649–53. [PubMed] [Google Scholar]
- Maeda T, Kaneko SY, Ohta M, Tanaka K, Sasaki A, Fukushima T. Risk factors for heatstroke among Japanese forestry workers. J Occup Health. 2006;48(4):223–9. doi: 10.1539/joh.48.223. [DOI] [PubMed] [Google Scholar]
- Miller J., Chair US House of Representatives: Hidden tragedy: Underreporting of workplace injuries and illnesses. A Majority Staff Report by the Committee of Education and Labor. 2008 Available at: www.cste.org/dnn/Portals/0/House%20Ed%20Labor%20Comm%20Report%20061908.pdf.
- Minard D, Belding HS, Kingston JR. Prevention of heat casualties. J Am Med Assoc. 1957;165(14):1813–8. doi: 10.1001/jama.1957.02980320043010. [DOI] [PubMed] [Google Scholar]
- Mine Safety and Health Administration . National Mine Safety and Health Academy. Heat Stress in Mining. [Accessed : February 24, 2012];MSHA Safety Manual Number 6. 2012 Not dated. Available at: http://www.msha.gov/s&hinfo/heatstress/manual/heatmanual.htm .
- Minnesota Administrative Rules . [Accessed: March 20, 2012 0110 Accessed: March 20 2012];52050110. Indoor workroom ventilation and temperature. 2012 Available at https://www.revisor.mn.gov/rules/?id=5205.0110.
- Mirabelli MC, Richardson DB. Heat-related fatalities in North Carolina. Am J Public Health. 2005;95(4):635–37. doi: 10.2105/AJPH.2004.042630. [DOI] [PMC free article] [PubMed] [Google Scholar]
- National Institutes for Occupational Safety and Health (NIOSH) Criteria for a recommended standard…Occupational Exposure to Hot Environments. 1972 Available at: www.cdc.gov/niosh/pdfs/7210269a.pdf.
- National Institutes for Occupational Safety and Health (NIOSH) Criteria for a recommended standard…Occupational Exposure to Hot Environments Revised Criteria. 1986 Available at: www.cdc.gov/niosh/docs/86-113/86-113.pdf.
- National Institutes for Occupational Safety and Health (NIOSH) National Occupational Research Agenda (NORA) Traumatic Occupational Injury Research Needs and Prevention. 1998 NIOSH Publication No. 98-134. Available at: www.cdc.gov/niosh/docs/98-134/pdfs/98-134.pdf.
- National Institute of Occupational Safety and Health (NIOSH) Health Hazard Evaluation Report. HETA#2004-0334-3017. Transportation Security Administration; Palm Beach International Airport, West Palm beach, Florida: 2006. Available at: www.cdc.gov/niosh/hhe/reports/pdfs/2004-0334-3017.pdf. [Google Scholar]
- National Oceanic and Atmospheric Administration (NOAA) . [Accessed: September 22, 2011];National Weather Service. Heat wave: a major summer killer. 2005 Available at: www.nws.noaa.gov/om/brochures/heat_wave.shtml.
- National Oceanic and Atmospheric Administration (NOAA) . [Accessed: November 22, 2011];National Weather Service. Heat: a major killer. 2011 Available at: www.nws.noaa.gov/om/heat/index.shtml/
- Nelson NG, Collins CL, Comstock RD, McKenzie LB. Exertional heat-related injuries treated in emergency departments in the U.S., 1997–2006. Am J Prev Med. 2011;40(1):54–60. doi: 10.1016/j.amepre.2010.09.031. [DOI] [PubMed] [Google Scholar]
- Occupational Safety & Health Administration (OSHA) . [Accessed: October 10, 2011];We Can Help. Using the Heat Index: A Guide for Employers. 2011 Available at: http://www.osha.gov/SLTC/heatillness/heat_index/index.html.
- Occupational Safety & Health Administration (OSHA) . Hazards Associated with Oil Cleanup Operations. [Accessed March 10, 2012];Gulf Oil Response and Heat. 2012 Available at: www.osha.gov/oilspills/heatstress.html.
- Park EK, Hannaford-Turner K, Lee HJ. Use of personal protective equipment in agricultural workers under hot and humid conditions. Ind Health. 2009;47(2):200–1. doi: 10.2486/indhealth.47.200. [DOI] [PubMed] [Google Scholar]
- Patz JA, McGeehin MA, Bernard SM, et al. The potential health impacts of climate variability and change for the United States: executive summary of the report of the health sector of the U.S. National Assessment. Environ Health Perspect. 2000;108(4):367–76. doi: 10.1289/ehp.00108367. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ramsey JD. Task performance in heat: a review. Ergonomics. 1995;38(1):154–65. doi: 10.1080/00140139508925092. [DOI] [PubMed] [Google Scholar]
- Rey G, Fouillet A, Bessemoulin P, Frayssinet P, Dufour A, Jougla E, Hemon D. Heat exposure and socio-economic vulnerability as synergistic factors in heat-wave-related mortality. Eur J Epidemiol. 2009;24(9):495–502. doi: 10.1007/s10654-009-9374-3. [DOI] [PubMed] [Google Scholar]
- Rosenman KD, Kalush A, Reilly MJ, Gardiner JC, Reeves M, Luo Z. How much work-related injury and illness is missed by the current national surveillance system? J Occup Environ Med. 2006;48(4):357–65. doi: 10.1097/01.jom.0000205864.81970.63. [DOI] [PubMed] [Google Scholar]
- Sanchez CA, Thomas KE, Malilay J, Annest JL. Nonfatal natural and environmental injuries treated in emergency departments, United States, 2001–2004. Fam Community Health. 2010;33(1):3–10. doi: 10.1097/FCH.0b013e3181c4e2fa. [DOI] [PubMed] [Google Scholar]
- Schulte PA, Chun HK. Climate change and occupational safety and health: establishing a preliminary framework. J Occup Environ Hyg. 2009;6(9):542–54. doi: 10.1080/15459620903066008. [DOI] [PubMed] [Google Scholar]
- Semenza JC, Rubin CH, Falter KH, et al. Heat-related deaths during the July 1995 heat wave in Chicago. N Engl J Med. 1996;335(2):84–90. doi: 10.1056/NEJM199607113350203. [DOI] [PubMed] [Google Scholar]
- Semenza JC, McCollough JE, Flanders D, McGeehin MA, Lumpkin JR. Excess hospital admissions during the July 1995 heat wave in Chicago. Am J Prev Med. 1999;16(4):269–77. doi: 10.1016/s0749-3797(99)00025-2. [DOI] [PubMed] [Google Scholar]
- Son JY, Lee JT, Anderson GB, Bell ML. The impact of heat waves on mortality in seven major cities in Korea. Environ Health Perspect. 2012;120(4):566–71. doi: 10.1289/ehp.1103759. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Stafoggia M, Forastiere F, Agostini, et al. Vulnerability to heat-related mortality; a multicity, population-based, case-crossover analysis. Epidemiology. 2006;17(3):315–323. doi: 10.1097/01.ede.0000208477.36665.34. [DOI] [PubMed] [Google Scholar]
- Stevens KR. Ace star model of EBP: the cycle of knowledge transformation. San Antonio, Tx: Academic Center for Evidence-based Practice; 2002. [Accessed: March 3, 2012]. Available at: www.acestar.uthscsa.edu/acestar-model.asp. [Google Scholar]
- Taiwo OA, Mobo BHP, Cantley L. Recognizing occupational illnesses and injuries. Am Fam Physician. 2010;82(2):169–74. [PubMed] [Google Scholar]
- Thomsen C, McClain J, Rosenman K, Davis L Centers for Disease Prevention and Control . Indicators for occupational health surveillance. MMWR Recomm Rep. 2007;56(RR-1):1–7. [PubMed] [Google Scholar]
- Vallejos QM, Quandt SA, Grzywacz JG, et al. Migrant farmworkers’ housing conditions across an agricultural season in North Carolina. Am J Ind Med. 2011;54(7):533–44. doi: 10.1002/ajim.20945. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Wandersman A, Duffy J, Flaspohler P, et al. Bridging the gap between prevention research and practice: the interactive systems framework for dissemination and implementation. Community Psychol. 2008;41(3–4):171–81. doi: 10.1007/s10464-008-9174-z. [DOI] [PubMed] [Google Scholar]
- Washington State Department of Labor and Industries (WSDLI) . Outdoor Heat Exposure. Concise Explanatory Statement. Economic Analyses. [Accessed: July 17, 2012];Heat-Related Illness Small Business Economic Impact Statement. 2008 Available at: http://www.lni.wa.gov/rules/AO06/40/0640CES.pdf.
- Washington State Legislature. General Occupational Health Standards. [Accessed: March 20, 2012];Outdoor heat exposure WAC 296-62-095. 2012 Available at: http://apps.leg.wa.gov/WAC?default.aspx?cite=296-62&full=true#296-62-09013.
- Weeks JL, Levy BS, Wagner GR, editors. Preventing occupational disease and injury. Washington, D.C: American Public Health Association Press; 1991. [Google Scholar]
- Williams S, Nitschke M, Sullivan T, et al. Heat and health in Adelaide, South Australia: assessment of heat thresholds and temperature relationships. Sci Total Environ. 2012;414:126–133. doi: 10.1016/j.scitotenv.2011.11.038. [DOI] [PubMed] [Google Scholar]
- World Health Assembly (WHA). Sixty-first World Health Assembly, WHA61.19. [Accessed: August 3, 2012];Climate Change and Health. 2008 Available at: http://apps.who.int/gb/ebwha/pdf_files/A61/A61_R19-en.pdf.
- World Health Organization. Technical Report series No 412. Geneva: 1969. Health factors involved in working under conditions of heat stress. Report of a WHO Scientific group. Available at http://whqlibdoc.who.int/trs/WHO_TRS_412.pdf. [PubMed] [Google Scholar]
- World Health Organization. Global health risks: mortality and burden of disease attributable to selected major risks. Geneva: 2009. [Accessed: November 4, 2011]. Available at: http://www.who.int/healthinfo/global_burden_disease/GlobalHealthRisks_report_full.pdf. [Google Scholar]