Objectives: To investigate general and drought-related stress experienced by farmers at both the personal and community levels, and whether socio-demographic and community factors influence this stre...

Pneumoconiosis, or occupational lung disease, is one of the world’s most prevalent work-related diseases. Silicosis, a type of pneumoconiosis, is caused by inhaling respirable crystalline silica (RCS) dust. Although silicosis can be fatal, it is completely preventable. Hundreds of thousands of workers globally are at risk of being exposed to RCS at the workplace from various activities in many industries. Currently, in Australia and internationally, there are a range of methods used for the respiratory surveillance of workers exposed to RCS. These methods include health and exposure questionnaires, spirometry, chest X-rays, and HRCT. However, these methods predominantly do not detect the disease until it has significantly progressed. For this reason, there is a growing body of research investigating early detection methods for silicosis, particularly biomarkers. This literature review summarises the research to date on early detection methods for silicosis and makes recommendations for future work in this area. Findings from this review conclude that there is a critical need for an early detection method for silicosis, however, further laboratory- and field-based research is required.

Drought is a threat to public health. Individual and community adaptive capacity is crucial when responding to the impacts of drought. Gaps remain in the understandings of the relationship between wellbeing and adaptive capacity, and whether increased wellbeing can lead to improved adaptive capacity (or vice versa). This paper explores the relationship between drought, wellbeing and adaptive capacity to provide insights that will inform actions to enhance adaptive capacity, and hence increase opportunities for effective drought adaptation. The theory of salutogenesis and the associated sense of coherence (SOC) are used to measure adaptive capacity and to explain why some individuals remain well and adapt to adversity while others do not. An online survey of rural residents (n = 163) in drought-affected New South Wales (NSW), Australia, was conducted from November 2018 to January 2019. Linear regression was used to model the relationships between SOC, sociodemographic factors, drought and wellbeing. Findings demonstrate that SOC is strongly correlated with wellbeing. Drought condition did not influence adaptive capacity, although adaptive capacity and drought-related stress were only weakly correlated. Increased wellbeing was found to be associated with stronger adaptive capacity and therefore, an individuals’ capacity to cope with adversity, such as drought.

Rural, regional and remote communities are vulnerable to the impacts of drought due to their reliance on agriculture, water intensive industries and nature-based tourism. These communities experience significant environmental, social, economic and health impacts because of the reoccurring nature of droughts. This paper reviews the literature on the relationship between mental health, wellbeing and drought resilience and finds that increasingly, mental health and wellbeing are being addressed through a range of drought resilience interventions as it is recognised that good (poor) mental health and wellbeing is linked to high (low) drought resilience. This is because improving mental health and wellbeing increases adaptive capacity and high adaptive capacity is necessary for high drought resilience. Despite this recent progress it is also recognised that there is a lack of tools and resources that (a) recognise when people need help and (b) efficiently connect people to help that is available at the time the help is required. These findings will inform the development of an online rural wellbeing toolkit aimed at enhancing mental health and wellbeing in order to improve drought-resilience in rural, regional and remote Australian communities.

Drought is a global threat to public health. Increasingly, the impact of drought on mental health and wellbeing is being recognised. This paper investigates the relationship between drought and wellbeing to determine which drought indices most effectively capture wellbeing outcomes. A thorough understanding of the relationship between drought and wellbeing must consider the: (i) three aspects of drought (duration, frequency and magnitude); (ii) different types of drought (e.g. meteorological, agricultural, etc.); and (iii) the individual context of specific locations, communities and sectors. For this reason, we used a variety of drought types, drought indices, and time windows to identify the thresholds for wet and dry epochs that enhance and suppress impacts to wellbeing. Four postcodes in New South Wales (NSW), Australia are used as case studies in the analysis to highlight the spatial variability in the relationship between drought and wellbeing. The results demonstrate that the relationship between drought indices and wellbeing outcomes differs temporally, spatially and according to drought type. This paper objectively tests the relationship between commonly used drought indices and wellbeing outcomes to establish if current methods of quantifying drought effectively capture wellbeing outcomes. For funding, community programs and interventions to result in successful adaptation, it is essential to critically choose which drought index, time window and wellbeing outcome to use in empirical studies. The uncertainties associated with these relationships must be accounted for and it must also be realized that results will differ based on these decisions. Drought is a global threat to public health. Increasingly, the impact of drought on mental health and wellbeing is being recognised. This paper investigates the relationship between drought and wellbeing to determine which drought indices most effectively capture wellbeing outcomes. A thorough understanding of the relationship between drought and wellbeing must consider the: (i) three aspects of drought (duration, frequency and magnitude); (ii) different types of drought (e.g. meteorological, agricultural, etc.); and (iii) the individual context of specific locations, communities and sectors. For this reason, we used a variety of drought types, drought indices, and time windows to identify the thresholds for wet and dry epochs that enhance and suppress impacts to wellbeing. Four postcodes in New South Wales (NSW), Australia are used as case studies in the analysis to highlight the spatial variability in the relationship between drought and wellbeing. The results demonstrate that the relationship between drought indices and wellbeing outcomes differs temporally, spatially and according to drought type. This paper objectively tests the relationship between commonly used drought indices and wellbeing outcomes to establish if current methods of quantifying drought effectively capture wellbeing outcomes. For funding, community programs and interventions to result in successful adaptation, it is essential to critically choose which drought index, time window and wellbeing outcome to use in empirical studies. The uncertainties associated with these relationships must be accounted for and it must also be realized that results will differ based on these decisions.