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The excess heat factor (EHF) is being adopted nationally for heatwave forecasting in Australia, but there is limited research utilizing it as a predictor for heat-related morbidity from diseases of the urinary system (urinary diseases). In this study, the incidence of eight temperature-prone specific urinary disease categories was analyzed in relation to the EHF. Daily data for maximum and minimum temperature and data for metropolitan hospital emergency department presentations and inpatient admissions for urinary disease were acquired in Adelaide, South Australia, from 1 July 2003 to 31 March 2014. An increased incidence for urolithiasis, acute kidney injury (AKI), chronic kidney disease, and lower urinary tract infections was associated with the EHF. Using the Australian national heatwave definition with the EHF, emergency department presentations increased on heatwave days compared to non-heatwave days for total urinary disease (IRR 1.046, 95% CI 1.016–1.076), urolithiasis (IRR 1.106, 95% 1.046–1.169), and acute kidney injury (AKI) (IRR 1.416, 95% CI 1.258–1.594). Likewise, inpatient admissions increased for total urinary disease (IRR 1.090, 95% CI 1.048–1.133) and AKI (IRR 1.335, 95% CI 1.204–1.480). The EHF is a reliable metric for predicting heat-induced morbidity from urinary disease. Climate change-related elevations in temperature can increase morbidity from urinary disease, especially AKI and urolithiasis. Diseases of the urinary system should be highlighted when providing public health guidance during heatwaves indicated by the EHF. [ABSTRACT FROM AUTHOR]

Purpose: Heatwaves, or extended periods of extreme heat, are predicted to increase in frequency, intensity and duration with climate change, but their impact on occupational injury has not been extensively studied. We examined the relationship between heatwaves of varying severity and work-related injuries and illnesses. We used a newly proposed metric of heatwave severity, the Excess Heat Factor (EHF), which accounts for local climate characteristics and acclimatization and compared it with heatwaves defined by daily maximum temperature.Methods: Work-related injuries and illnesses were identified from two administrative data sources: workers' compensation claims and work-related ambulance call-outs for the years 2003-2013 in Adelaide, Australia. The EHF metrics were obtained from the Australian Bureau of Meteorology. A time-stratified case-crossover regression model was used to examine associations between heatwaves of three levels of severity, workers' compensation claims, and work-related ambulance call-outs.Results: There was an increase in work-related ambulance call-outs and compensation claims during low and moderately severe heatwaves as defined using the EHF, and a non-significant decline during high-severity heatwaves. Positive associations were observed during moderate heatwaves in compensation claims made by new workers (RR 1.31, 95% CI 1.10-1.55), workers in medium-sized enterprises (RR 1.15, 95% CI 1.01-1.30), indoor industries (RR 1.09, 95% CI 1.01-1.17), males (RR 1.13, 95% CI 1.03-1.23) and laborers (RR 1.21, 95% CI 1.04-1.39).Conclusions: Workers should adopt appropriate precautions during moderately severe heatwaves, when the risks of work-related injuries and illnesses are increased. Workplace policies and guidelines need to consider the health and safety of workers during heatwaves with relevant prevention and adaptation measures. [ABSTRACT FROM AUTHOR]

Heatwaves can be a common occurrence in Australia, and the public health impacts can be severe. Heat warnings and interventions are being adopted widely to reduce the preventable health impacts. This study examines the effects of heatwaves on morbidity and mortality in different climatic regions in the state of South Australia, to inform the targeting of heat warnings according to regional needs. Heatwaves were defined using the excess heat factor (EHF), an index based on mean daily temperature indices that quantifies heatwave severity relative to the local climate. In all regions, there were increases in morbidity (daily rates of ambulance call-outs and heat-related emergency presentations and hospital admissions) on heatwave days compared to non-heatwave days, which increased with heatwave severity. This study demonstrates that a consistent measure for heatwave severity, based on EHF, can be used to underpin public health warnings for climatically diverse areas. [ABSTRACT FROM AUTHOR]

The extreme heat wave in Australia in 2009 resulted in significantly increased number of daily deaths. The circumstances that lead to deaths during extreme heat have not been explored before in Australia. This study aims to identify the individual and community risk factors for deaths during this extreme heat wave in Adelaide. A matched case-control study was conducted. Cases were those who died in the Adelaide metropolitan area during the heat wave period. For each case, two community controls were randomly selected, matched by age and gender. Face-to-face or telephone interviews were conducted to collect data of demographic information, living environment, social support, health status and behavioural changes during the heat wave. Descriptive analysis, as well as simple and multiple conditional logistic regressions were performed. In total, 82 deaths and 164 matched community controls were included in the analysis, with a median age of 77.5 (range 26.6-100.7). The multiple logistic regression model indicated that, compared with controls, the risk of death during the heat wave was significantly increased for people living alone (AOR = 42.31, 95 % CI 2.3, 792.8) or having existing chronic heart disease (AOR = 22.4, 95 % CI 1.7, 303.0). In addition, having air conditioning in bedrooms (AOR = 0.004, 95 % CI 0.00006, 0.28) and participating in social activities more than once a week (AOR = 0.011, 95 % CI 0.0004, 0.29) indicated significant protective effects. We have identified factors that could significantly impact on the likelihood of deaths during heat waves. Our findings could assist in the development of future intervention programs and policies to reduce mortality associated with a warmer climate. [ABSTRACT FROM AUTHOR]

This study aims to investigate the impact of heatwaves on worker׳s health and safety; to identify workers at higher risk of prevalent illnesses and injuries due to heatwaves; and to provide evidence for policy-makers and service providers. South Australian workers׳ compensation claims data for 2001–2010 were transformed into time series format, merged with meteorological data and analysed using generalized estimating equation (GEE) models. For total injury claims there was no significant difference detected between heatwave and non-heatwave periods. However, for outdoor industries, daily claims increased significantly by 6.2% during heatwaves. Over-represented in hot weather were male labourers and tradespersons aged ≥55 years, and those employed in ‘agriculture, forestry and fishing’ and ‘electricity, gas and water’. Occupational burns, wounds, lacerations, and amputations as well as heat illnesses were significantly associated with heatwaves. Similarly, moving objects, contact with chemicals, and injuries related to environmental factors increased significantly during heatwaves, especially among middle-aged and older male workers. With the predicted increase of extremely hot weather, there is a need for relevant adaptation and prevention measures at both practice and policy levels for vulnerable work groups. [ABSTRACT FROM AUTHOR]

Record breaking heat waves have been recorded in Adelaide, Australia in recent years and climate change would likely increase the frequency, duration and severity of heat waves. This paper describes the governance and institutional arrangements during the development of an adaptation strategy (herein referred to as heat-health policy) for heat waves in Adelaide, Australia. In-depth, semi-structured interviews were conducted between June and August 2011 among 18 stakeholders who were involved in the participatory process during the development of the heat-health policy. Informed consent was obtained and interviews were recorded, transcribed verbatim and the data analysed using framework analysis. Interview data were supplemented by data gathered through a review of documents associated with the process. The results found that the process of developing the heat-health policy was initiated by the state government and comprised of stakeholders from both the state and non-state sectors. There was a high level of leadership and political commitment demonstrated during the process, given that the different players wanted a policy to be in place before any future heat wave. A Steering Committee was established that provided coordination and oversight in addition to the Emergency Management Act within the state which provided the legislative framework during the heat-health policy development process. Although the decision-making authority was controlled by a controlled by a public institution, to a larger extent, there was collaborative decision-making by virtue of the context in which the heat-health policy was developed. An assurance mechanism established during the process was among the factors that ensured accountability during the participatory process. Overall, the development of the heat-health policy in Adelaide was largely successful, attributed to the extent of political commitment from the state government and the sound institutional and legislative framework that facilitated the process. Good governance and institutional arrangements provide the enabling environment, the structures, systems and resources that would facilitate the development of adaptation strategies such as heat-health policies. [ABSTRACT FROM AUTHOR]

OBJECTIVE: The goal of this study was to identify mental, behavioral, and cognitive disorders that may be triggered or exacerbated during heat waves, predisposing individuals to heat-related morbidity and mortality. DESIGN: Using health outcome data from Adelaide, South Australia, for 1993--2006, we estimated the effect of heat waves on hospital admissions and mortalities attributed to mental, behavioral, and cognitive disorders. We analyzed data using Poisson regression accounting for overdispersion and controlling for season and long-term trend, and we performed threshold analysis using hockey stick regression. RESULTS: Above a threshold of 26.7°C, we observed a positive association between ambient temperature and hospital admissions for mental and behavioral disorders. Compared with non--heat-wave periods, hospital admissions increased by 7.3% during heat waves. Specific illnesses for which admissions increased included organic illnesses, including symptomatic mental disorders; dementia; mood (affective) disorders; neurotic, stress related, and somatoform disorders; disorders of psychological development; and senility. Mortalities attributed to mental and behavioral disorders increased during heat waves in the 65- to 74-year age group and in persons with schizophrenia, schizotypal, and delusional disorders. Dementia deaths increased in those up to 65 years of age. CONCLUSION: Our results suggest that episodes of extreme heat pose a salient risk to the health and well-being of the mentally ill. RELEVANCE TO CLINICAL OR PROFESSIONAL PRACTICE: Improvements in the management and care of the mentally ill need to be addressed to avoid an increase in psychiatric morbidity and mortality as heat waves become more frequent. [ABSTRACT FROM AUTHOR]

Abstract: Adelaide experienced an extreme and prolonged 13days heatwave in summer 2009. The health impacts of this heatwave included an almost 14-fold increase in direct heat-related hospital admissions. This study aims to investigate the risk factors for this extra health burden. A case crossover study was conducted in metropolitan Adelaide to compare the characteristics of patients from the heatwave (exposure) period and non-heatwave (control) periods before and after. Direct heat-related hospitalizations were identified based on the ICD-10 codes (X30, T67, and E86). Patients'' data, including age, gender, indicators of health status, living conditions and socio-economic status, were collected from the South Australian Department of Health and patients'' case-notes from seven major Adelaide hospitals. Multivariate logistic regression model was used to estimate the odd ratios (OR) and the 95% confidence intervals (CI). Results indicate that living at residential aged care (OR=0.41, 95% CI: 0.15–0.70) and having higher number of co-morbidities (OR=0.89, 95% CI: 0.83–0.95) reduced the risk of hospital admission for direct heat-related illnesses during the heatwave, while having renal problems (OR=1.72, 95% CI: 1.07–2.94), reporting a fall prior to hospitalization (OR=2.04, 95% CI: 1.10–3.77), receiving assistance from community (OR=2.31, 95% CI: 1.24–4.30), living alone (OR=2.41, 95% CI: 1.32–4.40), socio-economic disadvantage (OR=2.10, 95% CI: 1.09–4.04) and no private health insurance (OR=1.82, 95% CI: 1.05–3.16) increased the risk. In conclusion, the people most at risk during the 2009 heatwave in Adelaide were those who lived alone, received help from community services, with co-existing renal problems or a risk of falls, and with a lower socio-economic status. Findings will assist in refining heat-health response systems and developing intervention programmes. [Copyright &y& Elsevier]

The costs of global warming are substantial. These include expenses from occupational illnesses and injuries (OIIs), which have been associated with increases during heatwaves. This study estimated retrospective and projected future heatwave-attributable OIIs and their costs in Australia. Climate and workers' compensation claims data were extracted from seven Australian capital cities representing OIIs from July 2005 to June 2018. Heatwaves were defined using the Excess Heat Factor. OIIs and associated costs were estimated separately per city and pooled to derive national estimates. Results were projected to 2030 (2016–2045) and 2050 (2036–2065). The risk of OIIs and associated costs increased during heatwaves, with the risk increasing during severe and particularly extreme heatwaves. Of all OIIs, 0.13% (95% empirical confidence interval [eCI]: 0.11–0.16%) were heatwave-attributable, equivalent to 120 (95%eCI:70–181) OIIs annually. 0.25% of costs were heatwave-attributable (95%eCI: 0.18–0.34%), equal to $AU4.3 (95%eCI: 1.4–7.4) million annually. Estimates of heatwave-attributable OIIs by 2050, under Representative Concentration Pathway [RCP]4.5 and RCP8.5, were 0.17% (95%eCI: 0.10–0.27%) and 0.23% (95%eCI: 0.13–0.37%), respectively. National costs estimates for 2030 under RCP4.5 and RCP8.5 were 0.13% (95%eCI: 0.27-0.46%) and 0.04% (95%eCI: 0.66-0.60), respectively. These estimates for extreme heatwaves were 0.04% (95%eCI: 0.02–0.06%) and 0.04% (95%eCI: 0.01–0.07), respectively. Cost-AFs in 2050 were, under RCP4.5, 0.127% (95%eCI: 0.27-0.46) for all heatwaves and 0.04% (95%eCI: 0.01-0.09%) for extreme heatwaves. Attributable fractions were approximately similar to baseline when assuming theoretical climate adaptation. Heatwaves represent notable and preventable portions of preventable OIIs and economic burden. OIIs are likely to increase in the future, and costs during extreme heatwaves in 2030. Workplace and public health policies aimed at heat adaptation can reduce heat-attributable morbidity and costs. [Display omitted] • Limited research on expenses from work injuries and illnesses during heatwaves. • Assessment of heatwave-attributable occupational injuries, illnesses and costs. • Increased injuries and illnesses during heatwaves both retrospectively and future. • Costs increased during heatwaves, with some evidence for projected increases. • Climate adaptation can potentially reduce occupational burden. [ABSTRACT FROM AUTHOR]

• Evaluated short-term associations of heat on mental health-related outcomes. • A 2.2% increase in mental health-related mortality per 1 °C rise in temperature. • A 0.9% increase in mental health-related morbidity per 1 °C rise in temperature. • Heatwaves increase the risk of mental health-related outcomes. • Higher risks for elderly, and those living in Tropical and Subtropical climates. Mental health is an important public health issue globally. A potential link between heat exposure and mental health outcomes has been recognised in the scientific literature; however, the associations between heat exposure (both high ambient temperatures and heatwaves) and mental health-related mortality and morbidity vary between studies and locations. To fill gaps in knowledge, this systematic review aims to summarize the epidemiological evidence and investigate the quantitative effects of high ambient temperatures and heatwaves on mental health-related mortality and morbidity outcomes, while exploring sources of heterogeneity. A systematic search of peer-reviewed epidemiological studies on heat exposure and mental health outcomes published between January 1990 and November 2020 was conducted using five databases (PubMed, Embase, Scopus, Web of Science and PsycINFO). We included studies that examined the association between high ambient temperatures and/or heatwaves and mental health-related mortality and morbidity (e.g. hospital admissions and emergency department visits) in the general population. A range of mental health conditions were defined using ICD-10 classifications. We performed random effects meta-analysis to summarize the relative risks (RRs) in mental health outcomes per 1 °C increase in temperature, and under different heatwaves definitions. We further evaluated whether variables such as age, sex, socioeconomic status, and climate zone may explain the observed heterogeneity. The keyword search yielded 4560 citations from which we identified 53 high temperatures/heatwaves studies that comprised over 1.7 million mental health-related mortality and 1.9 million morbidity cases in total. Our findings suggest associations between heat exposures and a range of mental health-related outcomes. Regarding high temperatures, our meta-analysis of study findings showed that for each 1 °C increase in temperature, the mental health-related mortality and morbidity increased with a RR of 1.022 (95%CI: 1.015–1.029) and 1.009 (95%CI: 1.007–1.015), respectively. The greatest mortality risk was attributed to substance-related mental disorders (RR, 1.046; 95%CI: 0.991–1.101), followed by organic mental disorders (RR, 1.033; 95%CI: 1.020–1.046). A 1 °C temperature rise was also associated with a significant increase in morbidity such as mood disorders, organic mental disorders, schizophrenia, neurotic and anxiety disorders. Findings suggest evidence of vulnerability for populations living in tropical and subtropical climate zones, and for people aged more than 65 years. There were significant moderate and high heterogeneities between effect estimates in overall mortality and morbidity categories, respectively. Lower heterogeneity was noted in some subgroups. The magnitude of the effect estimates for heatwaves varied depending on definitions used. The highest effect estimates for mental health-related morbidity was observed when heatwaves were defined as "mean temperature ≥90th percentile for ≥3 days" (RR, 1.753; 95%CI: 0.567–5.421), and a significant effect was also observed when the definition was "mean temperature ≥95th percentile for ≥3 days", with a RR of 1.064 (95%CI: 1.006–1.123). Our findings support the hypothesis of a positive association between elevated ambient temperatures and/or heatwaves and adverse mental health outcomes. This problem will likely increase with a warming climate, especially in the context of climate change. Further high-quality studies are needed to identify modifying factors of heat impacts. [ABSTRACT FROM AUTHOR]

• 24 studies assessed the effects of heat exposure on occupational injuries. • Both hot temperatures and heatwaves increase the risk of occupational injuries. • High-risk climate zones include Humid Subtropical and Oceanic Climates. • Young workers and male workers were identified as high-risk workers. • High-risk industries include agriculture, forestry, construction and manufacturing. The link between heat exposure and adverse health outcomes in workers is well documented and a growing body of epidemiological evidence from various countries suggests that extreme heat may also contribute to increased risk of occupational injuries (OI). Previously, there have been no comparative reviews assessing the risk of OI due to extreme heat within a wide range of global climate zones. The present review therefore aims to summarise the existing epidemiological evidence on the impact of extreme heat (hot temperatures and heatwaves (HW)) on OI in different climate zones and to assess the individual risk factors associated with workers and workplace that contribute to heat-associated OI risks. A systematic review of published peer-reviewed articles that assessed the effects of extreme heat on OI among non-military workers was undertaken using three databases (PubMed, Embase and Scopus) without temporal or geographical limits from database inception until July 2020. Extreme heat exposure was assessed in terms of hot temperatures and HW periods. For hot temperatures, the effect estimates were converted to relative risks (RR) associated with 1 °C increase in temperature above reference values, while for HW, effect estimates were RR comparing heatwave with non-heatwave periods. The patterns of heat associated OI risk were investigated in different climate zones (according to Köppen Geiger classification) based on the study locations and were estimated using random-effects meta-analysis models. Subgroup analyses according to workers' characteristics (e.g. gender, age group, experience), nature of work (e.g. physical demands, location of work i.e. indoor/outdoor) and workplace characteristics (e.g. industries, business size) were also conducted. A total of 24 studies published between 2005 and 2020 were included in the review. Among these, 22 studies met the eligibility criteria, representing almost 22 million OI across six countries (Australia, Canada, China, Italy, Spain, and USA) and were included in the meta-analysis. The pooled results suggested that the overall risk of OI increased by 1% (RR 1.010, 95% CI: 1.009–1.011) for 1 °C increase in temperature above reference values and 17.4% (RR 1.174, 95% CI: 1.057–1.291) during HW. Among different climate zones, the highest risk of OI during hot temperatures was identified in Humid Subtropical Climates (RR 1.017, 95% CI: 1.014–1.020) followed by Oceanic (RR 1.010, 95% CI: 1.008–1.012) and Hot Mediterranean Climates (RR 1.009, 95% CI: 1.008–1.011). Similarly, Oceanic (RR 1.218, 95% CI: 1.093–1.343) and Humid Subtropical Climates (RR 1.213, 95% CI: 0.995–1.431) had the highest risk of OI during HW periods. No studies assessing the risk of OI in Tropical regions were found. The effects of hot temperatures on the risk of OI were acute with a lag effect of 1–2 days in all climate zones. Young workers (age < 35 years), male workers and workers in agriculture, forestry or fishing, construction and manufacturing industries were at high risk of OI during hot temperatures. Further young workers (age < 35 years), male workers and those working in electricity, gas and water and manufacturing industries were found to be at high risk of OI during HW. This review strengthens the evidence on the risk of heat-associated OI in different climate zones. The risk of OI associated with extreme heat is not evenly distributed and is dependent on underlying climatic conditions, workers' attributes, the nature of work and workplace characteristics. The differences in the risk of OI across different climate zones and worker subgroups warrant further investigation along with the development of climate and work-specific intervention strategies. [ABSTRACT FROM AUTHOR]