Medicine and Health Sciences Commons^™

Exercise Counselling And Referral In Cancer Care: An International Scoping Survey Of Health Care Practitioners’ Knowledge, Practices, Barriers, And Facilitators, Imogen Ramsey, Alexandre Chan, Andreas Charalambous, Yin Ting Cheung, H. S. Darling, Lawson Eng, Lisa Grech, Nicolas H. Hart, Deborah Kirk, Sandra A. Mitchell, Dagmara Poprawski, Elke Rammant, Margaret I. Fitch, Raymond J. Chan

Research outputs 2022 to 2026

Purpose:

Evidence supports the role of prescribed exercise for cancer survivors, yet few are advised to exercise by a healthcare practitioner (HCP). We sought to investigate the gap between HCPs’ knowledge and practice from an international perspective.

Methods:

An online questionnaire was administered to HCPs working in cancer care between February 2020 and February 2021. The questionnaire assessed knowledge, beliefs, and practices regarding exercise counselling and referral of cancer survivors to exercise programs.

Results:

The questionnaire was completed by 375 participants classified as medical practitioners (42 %), nurses (28 %), exercise specialists (14 %), and non-exercise allied health practitioners (16 …

The Sleep Of Shift Workers In A Remote Mining Operation: Methodology For A Randomized Control Trial To Determine Evidence-Based Interventions, Gemma Maisey, Marcus Cattani, Amanda Devine, Johnny Lo, Ian C. Dunican

Research outputs 2014 to 2021

© Copyright © 2021 Maisey, Cattani, Devine, Lo and Dunican. Shiftwork may adversely impact an individual’s sleep-wake patterns and result in sleep loss ( < 6 h. following night shift), due to the circadian misalignment and the design of rosters and shifts. Within a mining operation, this sleep loss may have significant consequences due to fatigue, including an increased risk of accidents and chronic health conditions. This study aims to (i) determine the efficacy of an intervention that comprises a sleep education program and biofeedback through a smartphone app on sleep quality, quantity, and alertness (ii) determine the prevalence of risk for a potential sleep disorder, and (iii) quantify and describe the sleep habits and behaviors of shift workers in a remote mining operation. This study consists of a randomized controlled trial whereby eighty-eight shift workers within a remote mining operation are randomized to a control group or one of three different treatment groups that are: (i) a sleep education program, (ii) biofeedback on sleep through a smartphone app, or (iii) a sleep education program and biofeedback on sleep through a smartphone app. This study utilizes wrist-activity monitors, biomathematical modeling, and a survey instrument to obtain data on sleep quantity, quality, and alertness. A variety of statistical methods will determine the prevalence of risk for a potential sleep disorder and associations with body mass index, alcohol, and caffeine consumption. A generalized linear mixed model will examine the dependent sleep variables assessed at baseline and post-intervention for the control group and intervention groups, as well as within and between groups to determine changes. The findings from this study will contribute to the current understanding of sleep and alertness behaviors, and sleep problems and disorders amongst shift workers. Importantly, the results may inform fatigue policy and practice on interventions to manage fatigue risk within the mining industry. This study protocol may have a broader application in other shiftwork industries, including oil and gas, aviation, rail, and healthcare.