Skip to main content
Industrial Health logoLink to Industrial Health
. 2017 Jan 20;55(3):201–209. doi: 10.2486/indhealth.2016-0047

Heat stress intervention research in construction: gaps and recommendations

Yang YANG 1,*, Albert Ping-chuen CHAN 1
PMCID: PMC5462636  PMID: 28111405

Abstract

Developing heat stress interventions for construction workers has received mounting concerns in recent years. However, limited efforts have been exerted to elaborate the rationale, methodology, and practicality of heat stress intervention in the construction industry. This study aims to review previous heat stress intervention research in construction, to identify the major research gaps in methodological issues, and to offer detailed recommendations for future studies. A total of 35 peer-reviewed journal papers have been identified to develop administrative, environmental or personal engineering interventions to safeguard construction workers. It was found that methodological limitations, such as arbitrary sampling methods and unreliable instruments, could be the major obstacle in undertaking heat stress intervention research. To bridge the identified research gaps, this study then refined a research framework for conducting heat stress intervention studies in the construction industry. The proposed research strategy provides researchers and practitioners with fresh insights into expanding multidisciplinary research areas and solving practical problems in the management of heat stress. The proposed research framework may foster the development of heat stress intervention research in construction, which further aids researchers, practitioners, and policymakers in formulating proper intervention strategies.

Keywords: Intervention, Heat stress, Construction workers, Research framework, 5-D model

Introduction

Construction workers are susceptible to heat stress because of hot weather, highly demanding physical work, and prolonged exposure to direct sunlight1). Heat stress prevention is a pressing issue for researchers and practitioners, particularly because of the alarming number of heat-related casualties2) and the corresponding financial and legal issues3). From both the moral and economic perspectives4), controlling heat stress may offer multiple benefits, including decreased accidents and morbidity rates, improved productivity, and improved sense of social well-being5).

A series of controlling measures has been promulgated and implemented in the construction industry to safeguard workers laboring in hot weather. Most existing precautionary guidelines adopt recognized international standards6) as action-triggering benchmarks7). However, these guidelines are by and large dos and don’ts actions8) and are believed to be over-conservative and lacking of validity under varying geographical, cultural, and socioeconomic contexts; hence, the risks posed by excessive heat exposure may be underestimated7, 9, 10). The re-engineering and implementation of effective intervention strategies with a robust scientific basis are thus important in managing heat stress risk in construction7).

The need of intervention studies has been increasingly recognized in the field of occupational health over the past three decades11, 12). Intervention study is a type of research that allows conclusions on the cause-effect relationship mediated by intervention13). The general aim of occupational intervention research is to improve the well-being and productivity of workers by reducing primary safety and health risks12, 14, 15). To formulate effective and practical guidelines, intervention research should be conducted to enable researchers, practitioners, and policymakers to develop, evaluate, and deliver proper interventions for target populations16).

Intervention research has been widely employed in applied disciplines, such as occupational epidemiology, psychology and behavioral science, clinical medicine, and social science17, 18, 19, 20). However, it rarely focuses on the construction industry largely because this industry is complex and characterized by diffused control, small employer firms, temporary work sites, multi-employer worksites, temporary employment, and numerous crafts14). The aim of the current study was to review previous heat stress intervention research in construction, to identify the major research gaps in methodological issues, and to offer detailed recommendations for future studies.

Methods

Selection of data sources

A three-step literature review was performed to identify heat stress intervention research in the construction industry and further to offer a content analysis of these studies. First, a comprehensive desktop search was conducted under the “title/abstract/keyword” field of the following prevalent multi-disciplinary databases: Springer, Scopus, Science Direct, EBSCOhost, IEEE Xplore, MedLine, Web of Science, Wiley Online Library, Taylor and Francis Online. Search keywords including heat/thermal stress and construction industry were used to find the potential publications. Research articles published in peer-reviewed journals between 1980 and October 2016 were retrieved. Commentaries, editorials, discussion letter, reviews, reports, and unpublished working papers were excluded, along with papers written in languages other than English. Second, snowballing was then conducted using the retrieved citations to perform a new search based on the article’s bibliography, authors’ names, and the ‘related articles’ search option of the search engine21). Third, full-length papers and abstracts only meeting the following inclusion criteria were selected for the content analysis: 1) developing one or more heat stress controlling measures in the construction industry, and 2) adopting empirical research methodologies based on data systematically collected from experiments, surveys or observations and analyzed results via primary or secondary research efforts22, 23).

Study classification

The selected studies were classified according to the categories of heat stress controls, namely, administrative, environmental engineering, and personal engineering controls6, 24), which was useful for describing the general focus of intervention studies.

  • 1.

    Administrative controls are the assigned or rescheduled work practices and policies, which aim to reduce the magnitude, duration, and/or frequency of worker exposure to risk factors, e.g., training and education, proper work-rest rotation.

  • 2.

    Environmental engineering controls aim to mitigate or eliminate worker exposure to the hazardous environment, e.g., provision of shields or portable fans.

  • 3.

    Personal engineering controls aim to offer personal protective equipment that can protect workers from the hostile environment, e.g., protective clothing.

Results

Overview of the included studies

There were 26 articles relevant to heat stress interventions in construction being archived from the nine search engines in the first step of literature review. Another nine papers were found through snowballing search. A total of 35 peer-reviewed papers met all inclusion criteria based on the selection process. The trends of these published journal papers by year, country (region) the study applied, and category are illustrated in Table 1. These studies were generally conducted at the site level rather than at the national and international levels and their scope was neither company- nor industry-wide. Seventeen (49%) of studies focused on facilitating administrative intervention controls in construction, while ten (29%) of studies made efforts in developing personal engineering controls. Several studies had proposed multiple strategies to safeguard construction workers working in hot weather1, 25, 26). Heat stress intervention studies in construction considerably emerged after the year of 2012. The Hong Kong construction industry was the most prevalent target for heat stress intervention research.

Table 1. Overview of the selected studies.

Author(s) Year Research origin Category Intervention
Bates and Schneider25) 2008 United Arab Emirates Administrative
Environmental engineering
Fluid intake, Self-pacing
TWL monitoring
Bates et al.27) 2010 United Arab Emirates Administrative Fluid intake
Chan and Yang34) 2016 Hong Kong SAR Administrative PeSI monitoring
Chan et al.30) 2012a Hong Kong SAR Administrative Optimal recovery time
Chan et al.31) 2012b Hong Kong SAR Administrative Optimal recovery time
Chan et al.42) 2012 Hong Kong SAR Environmental engineering TWL monitoring
Chan et al. 2013 Hong Kong SAR Personal engineering Hybrid cooling vest; Cooling vest with frozen gel packs
Chan et al.45) 2013 Hong Kong SAR Personal engineering Hybrid cooling vest; Cooling vest with frozen gel packs
Chan et al.46) 2015 Hong Kong SAR Personal engineering Hybrid cooling vest; Cooling vest with frozen gel packs
Chan et al.47) 2016 Hong Kong SAR Personal engineering Hybrid cooling vest
Chan et al.48) 2016 Hong Kong SAR Personal engineering Hybrid cooling vest
Chan et al.49) 2016 Hong Kong SAR Personal engineering Hybrid cooling vest; Cooling vest with frozen gel packs
Chan et al.50) 2016 Hong Kong SAR Personal engineering Hybrid cooling vest
Chan et al.51) 2015 Hong Kong SAR Personal engineering Work unifrom
Chan et al.52) 2016 Hong Kong SAR Personal engineering Work unifrom
Chan et al.53) 2016 Hong Kong SAR Personal engineering Work unifrom
Dehghan et al.41) 2012 Iran Environmental engineering WBGT monitoring
Farshad et al.40) 2014 Iran Environmental engineering TWL monitoring
Heus and Kistemaker44) 1998 n.a. Personal engineering Work unifrom
Jia et al.37) 2016 Hong Kong SAR Administrative Socio-ergonomic model
Miller and Bates28) 2007a Australia Administrative Fluid intake
Miller and Bates39) 2007 Australia Environmental engineering TWL monitoring
Miller et al.4) 2011 United Arab Emirates Administrative Self-pacing
Montazer et al.29) 2013 Iran Administrative Fluid intake
Rowlinson and Jia9) 2014 Hong Kong SAR Administrative Optimized work-rest regimen
Rowlinson and Jia38) 2015 Hong Kong SAR Administrative Proactive and reactive behavioural intervention
Pérez-Alonso et al.1) 2011 Spain Administrative
Environmental engineering
Optimized work-rest regimes
ESI monitoring
Yabuki et al.35) 2013 Japan Administrative Heatstroke prevention system
Yang and Chan33) 2015 Hong Kong SAR Administrative PeSI monitoring
Yang and Chan55) 2016 Hong Kong SAR Personal engineering Work uniform
Yi and Chan8) 2013 Hong Kong SAR Administrative Optimized work-rest schedule
Yi and Chan26) 2014 Hong Kong SAR Administrative
Environmental engineering
Heat tolerance time
WBGT monitoring
Yi and Chan32) 2014 Hong Kong SAR Administrative Optimal work pattern
Yi et al.36) 2016 Hong Kong SAR Administrative Early-warning system
Yi et al.54) 2016 Hong Kong SAR Personal engineering Work unifrom

Abbreviation: ESI: environmental stress index; PeSI: perceptual strain index; TWL: thermal work limit; WBGT: wet bulb globe temperature

Discussion

Administrative controls

Current research mainly focused on developing and stipulating proper administrative interventions through improving work practices, such as rescheduling of work rotation, provision of drinking water, and monitoring human heat strain. Strategies for developing these interventions have been focused on the process of quantifying heat stress (causes) and strain (consequences). For instance, Bates and Schneider25), Bates et al.27), Miller and Bates28), and Montazer et al.29) investigated the hydration status of construction workers and advised that interventions are required to maintain adequate levels of hydration of workers under extreme heat stress conditions. Chan et al.30, 31), Yi and Chan8, 26, 32), Rowlinson and Jia9), and Pérez-Alonso et al.1) proposed work and/or recovery thresholds after examining body heat strain limits arising from multiple heat stressors (e.g., meteorology, work and individual characteristics) in the Hong Kong construction industry. Heat strain monitoring is recommended to safeguard construction workers under safe physiological thresholds33, 34). Self-paced work in the heat is also suggested to avoid excessive heat strain triggered by inordinate work pace4, 25). With the use of assistive technology, several early-warning systems have been devised to issue an alert on the basis of physiological thresholds and the corresponding intervention strategies35, 36). By identifying the institutional factors leading to heat illness incidents, recent studies focused more on eliminating behavioral risks in perspective of management infrastructure37, 38). Despite the remarkable development of administrative controls, it is somewhat unclear to what extent the effectiveness of these controls on reducing heat stress can be demonstrated.

Environmental engineering controls

Environmental heat stress monitoring has been widely documented for assessing heat stress level of construction workers1, 26, 31, 39, 40, 41, 42). The Wet Bulb Globe Temperature (WBGT) and the Thermal Work Limit (TWL) are two of the most widely used environmental monitoring indices at construction sites. However, the limitations of using these environmental indicators have been recognized. The reliability of these indicators remains debatable under different environmental conditions, and their environmental threshold should be compatible with personal characteristics, such as work pace, hydration status, and acclimatization status7, 43). Thus, these environmental thresholds may be invalid because of the changes in the boundary thresholds. Limited efforts have been exerted to develop other types of environmental engineering strategies, such as provision of air fans and working under the shade, although industrial guidelines acknowledge the importance of adopting these measures. Sound scientific evidences that could ascertain the effectiveness of these measures in aiding workers to combat heat stress have not been well documented.

Personal engineering controls

Heus and Kistemaker44) conducted human wear trials in the laboratory experiments to examine the efficacy of a new work uniform in reducing physiological and perceptual strain. Chan and his colleagues administered a series of field surveys to evaluate the acceptability and practicality of wearing personal cooling vests at construction sites45, 46, 47, 48, 49, 50). A new work uniform designed for construction workers have been proved to be effective in easing heat strain and improving wearing comfort through a series of laboratory and field experiments and questionnaire surveys51, 52, 53, 54, 55). Despite these, the major challenges of these studies lied in that only limited garments were scrutinized.

Major research gaps

Little effort has been exerted to elaborate the rationale, methodology, and practicality of heat stress intervention strategies in the construction industry. Interests from the scientific community in studying heat stress intervention strategies have only awakened in recent years. This situation may delay the process to formulate solid and proper strategies to aid construction workers in combating heat stress in advance. Most studies might employ more of a “try it and see” strategy based on the experiences of researchers56). Limitations of the above studies can be identified, including unclear theoretical basis, deficient research methodologies, and difficulty in applying the outcomes to practice, even though Goldenhar and Schulte11, 57) had underlined these problems two decades ago.

Randomized control trials (RCTs), particularly in the real-work settings, were not widely performed in previous studies, probably resulting in systematic bias. Besides, the use of quasi-experimental and non-experimental research designs, pose a major threat to the internal validity of the study11). A double-blind trial can reduce information bias from participants and investigators involved in a given experiment and avoids the placebo effect on the intervention group12). Nevertheless, few studies have employed the double-blind trial to determine the benefits of the interventions. Although blinding and the placebo effect may not be the core elements of RCTs12), their possible implications on research findings cannot be ignored.

Arbitrary sampling plan was another limitation in the study designs of previous research. The two important sampling issues in intervention research are subject selection and sample size; the former indicates the generalizability of findings and selection bias, whereas the latter may affect desired outcomes11). University students were recruited as the subjects to perform the experimental trials in laboratory settings33, 53, 54). However, the difference in physics between university students and construction workers should be recognized and thus, the generalizability of their findings was questioned. The sample size in intervention research should be sufficient to detect a difference in the outcomes of intervention and control groups11). A large sample size may increase the accuracy of calculated statistics as close as possible to the true population estimate58). When sample size is limited because of research time, funding, or human resources, statistical power calculations should be conducted and reported to provide a clear idea of the magnitude of the effects59). However, population sampling was arbitrary without justification on its statistical or practical significance in most of previous studies.

The reliability and validity of measurement instruments is essential in occupational intervention research11). Calibrating instruments is a critical procedure to guarantee the inter-instrument reliability60) and data accuracy. The method to calibrate the body core temperature introduced by Chan et al.53) could become a good practice of using reliable and valid instruments. Despite this, the measurement instruments were used in most of studies without calibration and justification. For instance, using tympanic temperature to measure physiological strain of construction workers9, 30, 31) has to be recognized as a potential risk when direct measurement of body core temperature seems to be impractical at workplace. In view of this, the design of the non-invasive devices to monitor body core temperature has received growing attention61). Furthermore, the application of the developed interventions was not well documented and thus, their benefits in reducing heat stress risks remian ambiguous. The lack of comprehensive research methodologies may be one of the major obstacles in conducting heat stress intervention research in the construction industry. Regarding these existing limitations in research methodologies on heat stress intervention studies, there is a pressing need to elucidate a well-structured research framework for future works.

Recommendations

In view of the aforementioned research gaps, this study then refined a research framework for conducting heat stress intervention studies in construction. The National Institute for Occupational Safety and Health has been actively developing a theoretical framework for occupational intervention research and providing practical guidance15, 62). This framework emphasizes the capability of a well-designed intervention study to integrate development, implementation, and effectiveness research and subsequently to establish a cycle of continuous improvement of an intervention15).

In the development phase, intervention studies are necessary not only to examine the utility of interventions in producing desired effects but also to disseminate convincing evidence when implementing interventions in the workplace11, 12, 63). Hence, the authors concur with the premise of Camp19) on the efficacy–effectiveness–diffusion process for conducting intervention studies. The efficacy of an intervention is the degree to which it causes an effect under ideal conditions, whereas the effectiveness of an intervention is the degree to which it causes an effect under realistic workplace conditions64). That is, the efficacy analyses are primarily centered on inquiries into the likelihood of individuals in a defined population to benefit from an intervention under tightly controlled conditions19), while effectiveness analyses investigate the distribution and effect of an intervention employed in daily operations under uncontrolled real-world settings65). Even though the efficacy and effectiveness of an intervention are demonstrated, the successful implementation of such intervention in a large population may remain uncertain19). In this regard, the next step is to solicit a body of evidence that supports the feasibility and acceptability of an intervention for large numbers of practitioners19).

This process is shown in an integrated 5-D model in Fig. 1 and in Table 2. This research framework combines the multidisciplinary perspectives of occupational safety and health and clinical medicine15, 19, 62), which may provide a new perspective for the conduct of comprehensive intervention research. The proposed framework emphasizes the need to prove the efficacy, effectiveness, and diffusion of an intervention in the development research phase before such intervention undergoes the implementation and impact research phases for large populations.

Fig. 1.

Fig. 1.

The 5-D model for conducting intervention research.

Adapted from Goldenhar et al.54), Robson et al.55) and Camp14).

Table 2. Major steps conducted in heat stress intervention research.

Objective Approach Outcome
Task 1 Comprehensive literature review Theoretical basis

Task 2 Publicity and exchange Internal/external collaboration

Task 3 Study design Study protocols
–Efficacy –RCT in laboratory experiment –Protocol of intermittent treadmill running test
–Effectiveness –RCT in field experiment –Protocol of field experiment
–Diffusion –Field survey –Sample of questionnaire

Task 4 Execution Demonstration
–Efficacy –Execution of experiment and analysis –Efficacy of the intervention
–Effectiveness –Execution of experiment and analysis –Effectiveness of intervention
–Diffusion –Administration of survey and analysis –Acceptability of intervention

Task 5 Public forum Practicality of intervention

Background information is gathered to help characterize a research problem and the corresponding solutions (e.g., range of intervention alternatives and evaluation settings). This information can provide a conceptual framework for developing appropriate intervention measures by refining study designs and providing support to intervention outcomes57). Occupational intervention research can be considered within the context of a wide research field that includes occupational safety and health, epidemiology, and industrial hygiene; such research involves broad communities including labor forces, industries, academia, and government agencies15). An extensive collaboration between researchers and practitioners is thus conducive to solving practical problems on the feasibility of an intervention in representative settings12, 15). Prior to performing any methodological procedure, this proactive process may provide a platform through which practitioners can be engaged as intervention participants and become involved in deliberations about research findings in the subsequent research tasks.

The methodologies in intervention research have been well documented and elaborated by earlier studies11, 57, 62, 64). A well-structured study design for occupational intervention research mainly considers intervention characteristics, research settings (e.g., randomized controlled trials), sampling plans, and measurement instruments11, 12). The four major steps in the execution process are preparation, briefing, measurement, and debriefing66, 67, 68). Assessment preparations include the consideration of the intervention object, recruited participants, trained investigators, calibrated and synchronized equipment, availability of study sites, and recruited medical staff (if necessary). Descriptive statistics and statistically analytical techniques can be used to detect the differences between two or more groups under a specific study design.

Disseminating findings represents the end of intervention research loop in the current phase15, 19). Statistical and practical significance, as well as unexpected study outcomes, should be disseminated11). Findings should be communicated to intervention participants and relevant non-participants (e.g., stakeholders, safety and health professionals, producers of intervention products, and government agencies) who can take the necessary actions in an expeditious manner and in a form that is readily understood15).

Conclusions

Major areas and gaps of previous heat stress intervention research in construction have been identified through a literature review. Administrative, environmental and personal engineering controls have been documented in the 35 peer-reviewed journal papers. Methodological limitations, such as sampling methods and instruments, could be the major obstacle in undertaking heat stress intervention research. There is a pressing need to develop a well-structured research framework for formulating solid and proper interventions that aid construction workers in combating heat stress. The present study follows the well-established process of occupational intervention research and establishes a 5-D model that facilitates the refinement and improvement of existing research methods from a multi-disciplinary perspective in the fields of occupational safety and health, textile science, and human biology. The proposed research framework provides a full description and definite guidelines for conducting intervention development studies. This research framework can facilitate the creation and discovery of scientific knowledge and lead to the improvement and development of practical problem solving. It provides fresh insights which are useful for expanding research areas, exploring new trends, and solving practical problems in heat stress prevention strategies. The assistance of stakeholders in soliciting sufficient participants for each phase is pivotal to the success of the research. Despite its challenges, it is recognized that intervention research can provide a platform for facilitating communication and collaboration among academicians and practitioners and therefore can stimulate and nurture the growth of the promising heat stress intervention research area.

Acknowledgements

The work described in this paper was supported by a grant from the Research Grants Council of the Hong Kong Special Administrative Region, China (RGC Project No. PolyU5107/11E). The research team is indebted to the technical support from technicians of the Hong Kong Polytechnic University. In particular, the participation of volunteers in this study is gratefully acknowledged. This paper forms part of the research project titled “Anti-heat stress clothing for construction workers in hot and humid weather”, from which other deliverables will be produced with different objectives/scopes but sharing common background and methodology. The authors also wish to acknowledge the contributions of other team members including Prof Francis Wong, Dr Michael Yam, Dr Daniel Chan, Dr Edmond Lam, Prof Del Wong, Prof Li Yi, Dr YP Guo, Dr WF Song, Dr W Yi, Dr Esther Cheung, and Prof Joanne Chung. The authors declare that they have no conflict of interest.

References

  • 1.Pérez-Alonso J, Callejón-Ferre ÁJ, Carreño-Ortega Á, Sánchez-Hermosilla J (2011) Approach to the evaluation of the thermal work environment in the greenhouse-construction industry of SE Spain. Build Environ 46, 1725–34. [Google Scholar]
  • 2.Chan APC, Yang Y, Wong FKW, Yam MCH (2013) Dressing behavior of construction workers in hot and humid weather. Occup Ergon 11, 177–86. [Google Scholar]
  • 3.Edwards PJ, Bowen PA (1998) Risk and risk management in construction: a review and future directions for research. Eng Construct Architect Manag 5, 339–49. [Google Scholar]
  • 4.Miller V, Bates G, Schneider JD, Thomsen J (2011) Self-pacing as a protective mechanism against the effects of heat stress. Ann Occup Hyg 55, 548–55. [DOI] [PubMed] [Google Scholar]
  • 5.Ayyappan R, Sankar S, Rajkumar P, Balakrishnan K (2009) Work-related heat stress concerns in automotive industries: a case study from Chennai, India. Glob Health Action 2, 3402–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.NIOSH (National Institute for Occupational Safety and Health) (2016) Criteria for a recommended standard: Occupational Exposure to Hot Environments. 2nd Ed., National Institute for Occupational Safety and Health, DHHS, Washington DC, USA (Publication No. 2016–106). [Google Scholar]
  • 7.Rowlinson S, Yunyanjia A, Li B, Chuanjingju C (2014) Management of climatic heat stress risk in construction: a review of practices, methodologies, and future research. Accid Anal Prev 66, 187–98. [DOI] [PubMed] [Google Scholar]
  • 8.Yi W, Chan AP (2013) Optimizing work–rest schedule for construction rebar workers in hot and humid environment. Build Environ 61, 104–13. [Google Scholar]
  • 9.Rowlinson S, Jia YA (2014) Application of the predicted heat strain model in development of localized, threshold-based heat stress management guidelines for the construction industry. Ann Occup Hyg 58, 326–39. [DOI] [PubMed] [Google Scholar]
  • 10.Lucas RA, Epstein Y, Kjellstrom T (2014) Excessive occupational heat exposure: a significant ergonomic challenge and health risk for current and future workers. Extrem Physiol Med 3, 14–22. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Goldenhar LM, Schulte PA (1994) Intervention research in occupational health and safety. J Occup Med 36, 763–75. [PubMed] [Google Scholar]
  • 12.Kristensen TS. (2005) Intervention studies in occupational epidemiology. Occup Environ Med 62, 205–10. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Melnyk MB, Morrison-Beedy D (2012) Intervention research: designing, conducting, analyzing and funding. Springer, New York. [Google Scholar]
  • 14.Ringen K, Stafford EJ (1996) Intervention research in occupational safety and health: examples from construction. Am J Ind Med 29, 314–20. [DOI] [PubMed] [Google Scholar]
  • 15.Goldenhar LM, LaMontagne AD, Katz T, Heaney C, Landsbergis P (2001) The intervention research process in occupational safety and health: an overview from the National Occupational Research Agenda Intervention Effectiveness Research team. J Occup Environ Med 43, 616–22. [DOI] [PubMed] [Google Scholar]
  • 16.Lindenberg CS, Solorzano RM, Vilaro FM, Westbrook LO (2001) Challenges and strategies for conducting intervention research with culturally diverse populations. J Transcult Nurs 12, 132–9. [DOI] [PubMed] [Google Scholar]
  • 17.Evanoff B, Wolf L, Aton E, Canos J, Collins J (2003) Reduction in injury rates in nursing personnel through introduction of mechanical lifts in the workplace. Am J Ind Med 44, 451–7. [DOI] [PubMed] [Google Scholar]
  • 18.Krause TR, Seymour KJ, Sloat KCM (1999) Long-term evaluation of a behavior-based method for improving safety performance: a meta-analysis of 73 interrupted time-series replications. Saf Sci 32, 1–18. [Google Scholar]
  • 19.Camp CJ. (2001) From efficacy to effectiveness to diffusion: Making the transitions in dementia intervention research. Neuropsychol Rehabil 11, 495–517. [Google Scholar]
  • 20.Smedley BD, Syme SL; Committee on Capitalizing on Social Science and Behavioral Research to Improve the Public’s Health (2001) Promoting health: intervention strategies from social and behavioral research. Am J Health Promot 15, 149–66. [DOI] [PubMed] [Google Scholar]
  • 21.Shachak A, Reis S (2009) The impact of electronic medical records on patient-doctor communication during consultation: a narrative literature review. J Eval Clin Pract 15, 641–9. [DOI] [PubMed] [Google Scholar]
  • 22.Pasadeos Y, Barban A, Yi H, Kim BH (1997) A 30-year assessment of the media planning literature. J Curr Issues Res Advert 19, 23–36. [Google Scholar]
  • 23.Lazaraton A. (2000) Current trends in research methodology and statistics in applied linguistics. TESOL Q 34, 175–81. [Google Scholar]
  • 24.OSHA (Occupational Safety and Health Administration, US). Ergonomics program: final rule. In: Federal Register: Department of Labor; Rules and Regulations; 2000; 65(220): 68262–68870. Available from: https://www.osha.gov/FedReg_osha_pdf/FED20001114.pdf.
  • 25.Bates GP, Schneider J (2008) Hydration status and physiological workload of UAE construction workers: A prospective longitudinal observational study. J Occup Med Toxicol 3, 21. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Yi W, Chan AP (2014) Which environmental indicator is better able to predict the effects of heat stress on construction workers? J Manage Eng 04014063, (doi:10.1061/(ASCE)ME.1943-5479.0000284). [Google Scholar]
  • 27.Bates GP, Miller VS, Joubert DM (2010) Hydration status of expatriate manual workers during summer in the middle East. Ann Occup Hyg 54, 137–43. [DOI] [PubMed] [Google Scholar]
  • 28.Miller V, Bates G (2007) Hydration of outdoor workers in north-west Australia. J Occup Health Safety 23, 79. [Google Scholar]
  • 29.Montazer S, Farshad AA, Monazzam MR, Eyvazlou M, Yaraghi AAS, Mirkazemi R (2013) Assessment of construction workers’ hydration status using urine specific gravity. Int J Occup Med Environ Health 26, 762–9. [DOI] [PubMed] [Google Scholar]
  • 30.Chan AP, Wong FK, Wong DP, Lam EW, Yi W (2012) Determining an optimal recovery time after exercising to exhaustion in a controlled climatic environment: Application to construction works. Build Environ 56, 28–37. [Google Scholar]
  • 31.Chan AP, Yi W, Wong DP, Yam MC, Chan DW (2012) Determining an optimal recovery time for construction rebar workers after working to exhaustion in a hot and humid environment. Build Environ 58, 163–71. [Google Scholar]
  • 32.Yi W, Chan AP (2014) Optimal work pattern for construction workers in hot weather: A case study in Hong Kong. J Comput Civ Eng 05014009, (doi:10.1061/(ASCE)CP.1943-5487.0000419). [Google Scholar]
  • 33.Yang Y, Chan APC (2015) Perceptual strain index for heat strain assessment in an experimental study: an application to construction workers. J Therm Biol 48, 21–7. [DOI] [PubMed] [Google Scholar]
  • 34.Chan APC, Yang Y (2016) Practical on-site measurement of heat strain with the use of a perceptual strain index. Int Arch Occup Environ Health 89, 299–306. [DOI] [PubMed] [Google Scholar]
  • 35.Yabuki N, Onoue T, Fukuda T, Yoshida S (2013) A heatstroke prediction and prevention system for outdoor construction workers. Visual in Eng 1, 11. [Google Scholar]
  • 36.Yi W, Chan AP, Wang X, Wang J (2016) Development of an early-warning system for site work in hot and humid environments: A case study. Autom Construct 62, 101–13. [Google Scholar]
  • 37.Jia YA, Rowlinson S, Ciccarelli M (2016) Climatic and psychosocial risks of heat illness incidents on construction site. Appl Ergon 53, 25–35. [DOI] [PubMed] [Google Scholar]
  • 38.Rowlinson S, Jia YA (2015) Construction accident causality: An institutional analysis of heat illness incidents on site. Saf Sci 78, 179–89. [Google Scholar]
  • 39.Miller VS, Bates GP (2007) The thermal work limit is a simple reliable heat index for the protection of workers in thermally stressful environments. Ann Occup Hyg 51, 553–61. [DOI] [PubMed] [Google Scholar]
  • 40.Farshad A, Montazer S, Monazzam MR, Eyvazlou M, Mirkazemi R (2014) Heat stress level among construction workers. Iran J Public Health 43, 492–8. [PMC free article] [PubMed] [Google Scholar]
  • 41.Dehghan H, Mortazavi SB, Jafari MJ, Maracy MR (2012) Evaluation of wet bulb globe temperature index for estimation of heat strain in hot/humid conditions in the Persian Gulf. J Res Med Sci 17, 1108–13. [PMC free article] [PubMed] [Google Scholar]
  • 42.Chan AP, Yi W, Chan DW, Wong DP (2013) Using the thermal work limit as an environmental determinant of heat stress for construction workers. J Manage Eng 29, 414–23. [Google Scholar]
  • 43.Budd GM. (2008) Wet-bulb globe temperature (WBGT)—its history and its limitations. J Sci Med Sport 11, 20–32. [DOI] [PubMed] [Google Scholar]
  • 44.Heus R, Kistemaker L (1998) Thermal comfort of summer clothes for construction workers. Environ Ergon 273–276.
  • 45.Chan APC, Yang Y, Wong DP, Lam EWM, Li Y (2013) Factors affecting horticultural and cleaning workers’ preference on cooling vests. Build Environ 66, 181–9. [Google Scholar]
  • 46.Chan AP, Wong FK, Li Y, Wong DP, Guo YP (2015) Evaluation of a Cooling Vest in Four Industries in Hong Kong. J Civil Eng Arch Res 2, 677–91. [Google Scholar]
  • 47.Chan AP, Yi W, Wong FK (2016) Evaluating the effectiveness and practicality of a cooling vest across four industries in Hong Kong. Facilities 34, 511–34. [Google Scholar]
  • 48.Chan APC, Wong FKW, Yang Y (2016) From innovation to application of personal cooling vest. Smart Sustain Built Environ 5, 111–24. [Google Scholar]
  • 49.Chan AP, Yang Y, Yam MC, Lam EW, Hu JY (2016) Factors affecting airport apron workers’ preference on cooling vests. Perform Enhanc Health 5, 17–23. [Google Scholar]
  • 50.Chan APC, Yang Y, Song WF (2016) The application of a structural equation model to evaluating the usability of a hybrid cooling vest: a pilot study. Int J Occup Saf Ergon (Accepted). [Google Scholar]
  • 51.Chan APC, Yang Y, Wong FKW, Chan DWM, Lam EWM (2015) Wearing comfort of summer work uniforms for construction workers. Constr Innov 15, 473–92. [Google Scholar]
  • 52.Chan APC, Guo YP, Wong FKW, Li Y, Sun S, Han X (2016) The development of anti-heat stress clothing for construction workers in hot and humid weather. Ergonomics 59, 479–95. [DOI] [PubMed] [Google Scholar]
  • 53.Chan APC, Yang Y, Guo YP, Yam MCH, Song WF (2016) Evaluating the physiological and perceptual responses of wearing a newly designed construction work uniform. Text Res J 86, 659–73. [Google Scholar]
  • 54.Yi W, Chan AP, Wong FK, Wong DP (2017) Effectiveness of a newly designed construction uniform for heat strain attenuation in a hot and humid environment. Appl Ergon 58, 555–65. (doi:10.1016/j.apergo.2016.04.011). [DOI] [PubMed] [Google Scholar]
  • 55.Yang Y, Chan APC (2017) Role of work uniform in alleviating perceptual strain among construction workers. Ind Health 55, 76–86. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 56.Campbell DT. (1986) Relabeling internal and external validity for applied social scientists. New Dir Program Eval 31, 67–77. [Google Scholar]
  • 57.Goldenhar LM, Schulte PA (1996) Methodological issues for intervention research in occupational health and safety. Am J Ind Med 29, 289–94. [DOI] [PubMed] [Google Scholar]
  • 58.Anderson SR, Auquier A, Hauck WW, Oakes D, Vandaele W, Weisberg HI (2009) Statistical methods for comparative studies: techniques for bias reduction. John Wiley & Sons, Toronto. [Google Scholar]
  • 59.Cook TD, Campbell DT, Day A (1979) Quasi-experimentation: Design & analysis issues for field settings. Boston: Houghton Mifflin. [Google Scholar]
  • 60.Bassett DR Jr, Rowlands A, Trost SG (2012) Calibration and validation of wearable monitors. Med Sci Sports Exerc 44 Suppl 1, S32–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 61.Gunga HC, Werner A, Stahn A, Steinach M, Schlabs T, Koralewski E, Kunz D, Belavý DL, Felsenberg D, Sattler F, Koch J (2009) The Double Sensor-A non-invasive device to continuously monitor core temperature in humans on earth and in space. Respir Physiol Neurobiol 169 Suppl 1, S63–8. [DOI] [PubMed] [Google Scholar]
  • 62.Robson LS, Shannon HS, Goldenhar LM, Hale AR (2001) Guide to Evaluating the Effectiveness of Strategies for Preventing Work Injuries: How to Show Whether a Safety Intervention Really Works. National Institute for Occupational Safety and Health, DHHS (NIOSH) Publication No. 2001–119.
  • 63.Rosenstock L. (1996) The future of intervention research at NIOSH. Am J Ind Med 29, 295–7. [DOI] [PubMed] [Google Scholar]
  • 64.Shannon HS, Robson LS, Guastello SJ (1999) Methodological criteria for evaluating occupational safety intervention research. Saf Sci 31, 161–79. [Google Scholar]
  • 65.Brook RH, Lohr KN (1985) Efficacy, effectiveness, variations, and quality. Boundary-crossing research. Med Care 23, 710–22. [DOI] [PubMed] [Google Scholar]
  • 66.Yi W, Chan AP (2013) Alternative approach for conducting construction management research: quasi-experimentation. J Manage Eng 30, (doi:10.1061/(ASCE)ME.1943-5479.0000276). [Google Scholar]
  • 67.Sasson R, Nelson TM (1969) The human experimental subject in context. Can Psychol 10, 409–37. [Google Scholar]
  • 68.Singleton RA, Straits BC (2010) Approaches to social research. 5th Ed., Oxford University Press, New York and Oxford. [Google Scholar]

Articles from Industrial Health are provided here courtesy of National Institute of Occupational Safety and Health, Japan

RESOURCES