VALUE OF ULTRASOUND-BASED PREDICTIONS OF CARCASS QUALITY GRADE

This paper addresses the quality and value of data derived from ultrasound technology. It attempts to determine whether or not ultrasound is a strong enough predictor of beef carcass quality grade to be an economical tool used to improve the current state of the beef industry.Marketing,

Clinical benefit of a precision medicine based approach for guiding treatment of refractory cancers

Patients and methods: Patients with metastatic solid tumors who had progressed on at least one line of standard of care therapy were referred to the Indiana University Health Precision Genomics Program. Tumor samples were submitted for DNA & RNA next-generation sequencing, fluorescence in situ hybridization, and immunohistochemistry for actionable targets. A multi-disciplinary tumor board reviewed all results. For each patient, the ratio of progression-free survival (PFS) of the genomically guided line of therapy divided by the PFS of their prior line was calculated. Patients whose PFS ratio was ≥ 1.3 were deemed to have a meaningful improvement in PFS. Results: From April 2014-October 2015, 168 patients were evaluated and 101 patients achieved adequate clinical follow-up for analysis. 19 of 44 (43.2%) patients treated with genomically guided therapy attained a PFS ratio ≥ 1.3 vs. 3 of 57 (5.3%) treated with non-genomically guided therapy (p < 0.0001). Similarly, overall PFS ratios (irrespective of cutoff) were higher for patients with genomically guided therapy vs non-genomically guided therapy (p = 0.05). Further, patients treated with genomically guided therapy had a superior median PFS compared to those treated with non-genomically guided therapy (86 days vs. 49 days, p = 0.005, H.R. = 0.55, 95% C.I.:0.37-0.84). Conclusion: Patients with refractory metastatic cancer who receive genomically guided therapy have improved PFS ratios and longer median PFS compared to patients who do not receive genomically guided therapy

VALUE OF ULTRASOUND-BASED PREDICTIONS OF CARCASS QUALITY GRADE

This paper addresses the quality and value of data derived from ultrasound technology. It attempts to determine whether or not ultrasound is a strong enough predictor of beef carcass quality grade to be an economical tool used to improve the current state of the beef industry

Exploring psychosocial determinants of health behaviours in shift workers through the development and validation of a Health Belief Model for Shift Workers (HBM-SW) scale

Shift work is associated with increased risk of chronic diseases. Emerging research has also demonstrated an association between engagement in shift work and poorer health behaviours. However, little is known about the factors that influence health behaviours in shift workers. Therefore, it is necessary to investigate psychosocial determinants of health behaviours in shift workers, through the development and validation of a Health Belief Model for Shift Workers scale (HBM-SW). Developing a metric which allows for the analysis of associations between psychosocial determinants and health behaviours in shift workers will allow for the identification of patterns and risk factors that may signify which shift workers are at risk for poorer health behaviours. In turn, identifying shift workers who may be at higher risk for chronic diseases. Furthermore, identifying patterns in health behaviours and the psychosocial determinants associated with them, will provide a foundation for the development of interventions which aim to minimise negative health outcomes in shift workers. The proposed research project aims to develop and validate a scale to investigate psychosocial determinants of health behaviours in shift workers by drawing on an established behavioural framework (the HBM). The knowledge gained from the use of the Health Belief Model for Shift Workers (HBM-SW) is anticipated to further inform interventions aimed at improving health outcomes for individuals engaged in shift work. The study will investigate determinants of sleep, nutritional intake, physical activity, tobacco use and alcohol consumption in shift workers, using modelling based on the established Health Belief Model

Physical and psychological changes in shift working ambulance personnel entering the workforce: An exploratory, mixed-methods observational study

Shift work, particularly night work, forces a mismatch between the body's natural inclination to sleep during the night, and to be awake/work during the day. Disruption to human sleep/wake behavior is associated with poor health outcomes in the medium- to long-term. While shift work is consistently associated with poor health outcomes (including obesity, type II diabetes, and cardiovascular disease) we still do not have a clear picture of how these diseases progress over time. This is due in part to a lack of research looking at the early changes in physiological and psychological wellbeing in new shift workers. The proposed study in new SAAS recruits will be the first of its kind worldwide to follow new recruits (n=40) from recruitment and over the first year of their employment as ambulance personnel to determine the impact of commencing shift work on physical and mental health. Recruits will be invited to participate in the study during their induction period when first recruited to SAAS. They will be monitored quarterly, and complete a series of questionnaires, a blood test, and ad libitum faecal samples, to explore the impact of early shift work and health changes in the first year. This information is needed to better understand the relationship between shift work and wellbeing, and to provide meaningful guidelines for managing wellbeing in this workforce

Perceptions of the impact of non-standard work schedules on health in Australian graduates: An exploratory study

Ferguson, SA ORCiD: 0000-0002-9682-7971; Reynolds, AC ORCiD: 0000-0001-9534-8699Non-standard working hours are associated with negative health outcomes. However, little is known about the early years of exposure to non-standard work hours, or whether workers new to these work schedules perceive their work as impacting their health. This limits our ability to develop meaningful intervention strategies for transitioning into non-standard work hour schedules. This exploratory study investigated whether recent Australian graduates in various non-standard workhour schedules perceive that their work schedule negatively impacts their health. The responses of 120 graduates within four years of completing their tertiary qualification collected from an online survey were analysed. Graduates were asked whether they perceived their work arrangements impact their health. Significantly more of those who were engaged in non-standard work schedules or worked beyond contracted hours perceived their working arrangements as having an impact on their health. This study highlights the importance of studying workers' perceptions of the impact of work hours on health, particularly when workers may be experiencing good global health but be at risk for negative health outcomes in future

Non-pharmacological interventions to improve chronic disease risk factors and sleep in shift workers: A systematic review and meta-analysis

Shift work is associated with adverse chronic health outcomes. Addressing chronic disease risk factors including biomedical risk factors, behavioural risk factors, as well as sleep and perceived health status, affords an opportunity to improve health outcomes in shift workers. The present study aimed to conduct a systematic review, qualitative synthesis, and meta-analysis of non-pharmacological interventions targeting chronic disease risk factors, including sleep, in shift workers. A total of 8465 records were retrieved; 65 publications were eligible for inclusion in qualitative analysis. Random-effects meta-analysis were conducted for eight eligible health outcomes, including a total of thirty-nine studies. Interventions resulted in increased objective sleep duration (Hedges' g = 0.73; CI: 0.36, 1.10, k = 16), improved objective sleep efficiency (Hedges' g = 0.48; CI: 0.20, 0.76, k = 10) and a small increase in both subjective sleep duration (Hedges' g = 0.11; CI: -0.04, 0.27, k = 19) and sleep quality (Hedges' g = 0.11; CI: -0.11, 0.33, k = 21). Interventions also improved perceived health status (Hedges' g = 0.20; CI: -0.05, 0.46, k = 8), decreased systolic (Hedges' g = 0.26; CI: -0.54, 0.02, k = 7) and diastolic (Hedges' g = 0.06; CI: -0.23, 0.36, k = 7) blood pressure, and reduced body mass index (Hedges' g = -0.04; CI: -0.37, 0.29, k = 9). The current study suggests interventions may improve chronic disease risk factors and sleep in shift workers; however, this could only be objectively assessed for a limited number of risk factor endpoints. Future interventions could explore the impact of non-pharmacological interventions on a broader range of chronic disease risk factors to better characterise targets for improved health outcomes in shift workers

Perceptions of the impact of non-standard work schedules on health in Australian graduates: An exploratory study

Non-standard working hours are associated with negative health outcomes. However, little is known about the early years of exposure to non-standard work hours, or whether workers new to these work schedules perceive their work as impacting their health. This limits our ability to develop meaningful intervention strategies for transitioning into non-standard work hour schedules. This exploratory study investigated whether recent Australian graduates in various non-standard workhour schedules perceive that their work schedule negatively impacts their health. The responses of 120 graduates within four years of completing their tertiary qualification collected from an online survey were analysed. Graduates were asked whether they perceived their work arrangements impact their health. Significantly more of those who were engaged in non-standard work schedules or worked beyond contracted hours perceived their working arrangements as having an impact on their health. This study highlights the importance of studying workers' perceptions of the impact of work hours on health, particularly when workers may be experiencing good global health but be at risk for negative health outcomes in future

Non-Pharmacological Interventions to Improve Chronic Disease Risk Factors and Sleep in Shift Workers: A Systematic Review and Meta-Analysis

Shift work is associated with adverse chronic health outcomes. Addressing chronic disease risk factors including biomedical risk factors, behavioural risk factors, as well as sleep and perceived health status, affords an opportunity to improve health outcomes in shift workers. The present study aimed to conduct a systematic review, qualitative synthesis, and meta-analysis of non-pharmacological interventions targeting chronic disease risk factors, including sleep, in shift workers. A total of 8465 records were retrieved; 65 publications were eligible for inclusion in qualitative analysis. Random-effects meta-analysis were conducted for eight eligible health outcomes, including a total of thirty-nine studies. Interventions resulted in increased objective sleep duration (Hedges’ g = 0.73; CI: 0.36, 1.10, k = 16), improved objective sleep efficiency (Hedges’ g = 0.48; CI: 0.20, 0.76, k = 10) and a small increase in both subjective sleep duration (Hedges’ g = 0.11; CI: −0.04, 0.27, k = 19) and sleep quality (Hedges’ g = 0.11; CI: −0.11, 0.33, k = 21). Interventions also improved perceived health status (Hedges’ g = 0.20; CI: −0.05, 0.46, k = 8), decreased systolic (Hedges’ g = 0.26; CI: −0.54, 0.02, k = 7) and diastolic (Hedges’ g = 0.06; CI: −0.23, 0.36, k = 7) blood pressure, and reduced body mass index (Hedges’ g = −0.04; CI: −0.37, 0.29, k = 9). The current study suggests interventions may improve chronic disease risk factors and sleep in shift workers; however, this could only be objectively assessed for a limited number of risk factor endpoints. Future interventions could explore the impact of non-pharmacological interventions on a broader range of chronic disease risk factors to better characterise targets for improved health outcomes in shift workers