Despite being disproportionately affected by poor mental health, culturally and linguistically diverse (CaLD) individuals seek help from mental health services at lower rates than others in the Australian population. The preferred sources of help for mental illness amongst CaLD individuals remain poorly understood. The aim of this study was to explore sources of help in Arabic-, Mandarin-, and Swahili-speaking communities in Sydney, Australia. Eight focus-group discussions (n = 51) and twenty-six key informant interviews were undertaken online using Zoom. Two major themes were identified: informal sources of help and formal sources of help. Under the informal sources of help theme, three sub-themes were identified: social, religious, and self-help sources. All three communities strongly recognised the role of social sources of help, with more nuanced roles held by religion and self-help activities. Formal sources of help were described by all communities, although to a lesser extent than informal sources. Our findings suggest that interventions to support help-seeking for all three communities should involve building the capacity of informal sources of help, utilising culturally appropriate environments, and the collaboration between informal and formal sources of help. We also discuss differences between the three communities and offer service providers insights into unique issues that require attention when working with these groups.
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http://dx.doi.org/10.3390/ijerph20105862 | DOI Listing |
Front Immunol
December 2024
Department of Environmental and Radiological Health Sciences, College of Veterinary Medicine and Biomedical Sciences, Colorado State University, Fort Collins, CO, United States.
Agriculture dust contains many organic immunogenic compounds, and organic dust exposure is strongly associated with the development of immune-mediated chronic pulmonary diseases such as chronic obstructive pulmonary disease (COPD). Chronic organic dust exposure from agriculture sources induces chronic lung inflammatory diseases and organic dust exposure has recently been linked to an increased risk of developing dementia. The cytokine interleukin-22 (IL-22) has been established as an important mediator in the resolution and repair of lung tissues.
View Article and Find Full Text PDFArthrosc Sports Med Rehabil
December 2024
Department of Orthopedic Surgery, University of Wisconsin - Madison, Madison, Wisconsin, U.S.A.
Purpose: To identify key molecular components within the femoroacetabular impingement hip and compare the findings between male and female patients across varying age groups.
Methods: All patients undergoing hip arthroscopy for femoroacetabular impingement syndrome (FAIS) without hip dysplasia were included. During hip arthroscopy, performed at University of Wisconsin Health, loose articular cartilage, excess synovium, damaged labral tissue, and minimal adipose tissue were debrided only as needed for visualization and tissue repair purposes and collected.
Focus (Am Psychiatr Publ)
January 2025
The Jed Foundation, New York, New York.
The stigma of mental illness, among a larger set of barriers to help seeking, has been understudied among teens. These barriers and the sources of support were examined through an online survey with 1,428 U.S.
View Article and Find Full Text PDFBioinformatics
January 2025
Université Paris Saclay, Univ Evry, IBISC, Evry-Courcouronnes, 91020, France.
Motivation: Predicting the 3D structure of RNA is an ongoing challenge that has yet to be completely addressed despite continuous advancements. RNA 3D structures rely on distances between residues and base interactions but also backbone torsional angles. Knowing the torsional angles for each residue could help reconstruct its global folding, which is what we tackle in this work.
View Article and Find Full Text PDFInterdiscip Sci
January 2025
College of Science, Dalian Jiaotong University, Dalian, 116028, China.
Accurate prediction of drug-drug interaction (DDI) is essential to improve clinical efficacy, avoid adverse effects of drug combination therapy, and enhance drug safety. Recently researchers have developed several computer-aided methods for DDI prediction. However, these methods lack the substructural features that are critical to drug interactions and are not effective in generalizing across domains and different distribution data.
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