The prevalence and burden of musculoskeletal disorders amongst Indigenous people in Pimicikamak, northern Manitoba, Canada: A community health survey.

Objectives: To investigate the prevalence of spine symptoms and spine disability, self-care and care seeking behaviors in a random sample of Indigenous adults residing in Cross Lake, northern Manitoba, Canada.

Study Design And Setting: Orally administered survey in Cree or English to a representative sample of Pimicikamak citizens from the treaty ( = 150/1931 houses) and non-treaty ( = 20/92 houses) land, between May and July 2023. Questions ( = 154) were derived from the 2018 First Nations Regional Health Survey, 2020 Canadian Community Health Survey, and 2021 The Global Burden of Disease study, covering demographics, spine symptoms, chronic conditions, activity limitations, general health, self-care, medication, and satisfaction with care.

Views and perspectives toward implementing the Global Spine Care Initiative (GSCI) model of care, and related spine care program by the people in Cross Lake, Northern Manitoba, Canada: a qualitative study using the Theoretical Domain Framework (TDF).

Background: Back pain is very common and a leading cause of disability worldwide. Due to health care system inequalities, Indigenous communities have a disproportionately higher prevalence of injury and acute and chronic diseases compared to the general Canadian population. Indigenous communities, particularly in northern Canada, have limited access to evidence-based spine care.

Experimental Protocols to Test Aortic Soft Tissues: A Systematic Review.

Experimental protocols are fundamental for quantifying the mechanical behaviour of soft tissue. These data are crucial for advancing the understanding of soft tissue mechanics, developing and calibrating constitutive models, and informing the development of more accurate and predictive computational simulations and artificial intelligence tools. This paper offers a comprehensive review of experimental tests conducted on soft aortic tissues, employing the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) methodology, based on the Scopus, Web of Science, IEEE, Google Scholar and PubMed databases.