AI Article Synopsis
- - Togo faces a significant public health issue with psychoactive substance (PAS) addiction, yet existing data on its prevalence is limited and disorganized.
- - A descriptive study conducted between 2015 and 2019 identified 2,516 users of PAS, predominantly males aged 20 to 34, with alcohol and cannabis being the most commonly used substances.
- - The research highlights the need for better understanding of PAS addiction in Togo, laying the groundwork for future preventive strategies and health planning.
Article Abstract
Introduction: Addiction to psychoactive substances (PAS) is nowadays a public health problem. In Togo, data on the use of PAS are scattered, and do not give the national scope of the phenomenon.
Aim: To describe the epidemiological characteristics of psychoactive substances users (PASU) in Togo.
Method: This was a descriptive cross-sectional study conducted from January 1st, 2015 to December 31st, 2019 among PASU, using the standardized WENDU data collection form.
Results: In five years of data collection, 2516 PASU were identified in the care facilities. These PASU were male in 91.9% of cases. Their predominant age groups were respectively 25 to 29 years (25.6%), 20 to 24 years (18.9%) and 30 to 34 years (16.4%). The CSM Yendoubé and the HPZ received respectively 25.4% and 18.0% of cases. The family circle was the initiator of the request for care in 77.5% of cases. Alcohol (54.3%) and cannabis (49.3%) were the main PAS.
Conclusion: Our results have enabled us to identify the contours and extent of the addiction phenomenon in Togo, thus opening the way to future perspectives in the planning of preventive strategies.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11099932 | PMC |
Publication Analysis
Top Keywords
Similar Publications
Knowledge domain and frontier trends of artificial intelligence applied in solid organ transplantation: A visualization analysis.
Int J Med Inform
December 2024
Department of Hepatobiliary Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China. Electronic address:
Background: Solid organ transplantation (SOT) is vital for end-stage organ failure but faces challenges like organ shortage and rejection. Artificial intelligence (AI) offers potential to improve outcomes through better matching, success prediction, and automation. However, the evolution of AI in SOT research remains underexplored.
View Article and Find Full Text PDFExamining Intersectionality and Barriers to the Uptake of Video Consultations Among Older Adults From Disadvantaged Backgrounds With Limited English Proficiency: Qualitative Narrative Interview Study.
J Med Internet Res
January 2025
Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom.
Background: The rapid shift to video consultation services during the COVID-19 pandemic has raised concerns about exacerbating existing health inequities, particularly for disadvantaged populations. Intersectionality theory provides a valuable framework for understanding how multiple dimensions of disadvantage interact to shape health experiences and outcomes.
Objective: This study aims to explore how multiple dimensions of disadvantage-specifically older age, limited English proficiency, and low socioeconomic status-intersect to shape experiences with digital health services, focusing on video consultations.
Developing Guidelines for Conducting Stigma Research With Transgender and Nonbinary Individuals: Protocol for Creation of a Trauma-Informed Approach to Research.
JMIR Res Protoc
January 2025
Hunter Alliance for Research and Translation, Hunter College of the City University of New York (CUNY), New York, NY, United States.
Background: Transgender and nonbinary individuals have received increasing attention within HIV research, with studies documenting the pervasive role stigma plays in creating and sustaining health inequities. However, the proliferation of HIV stigma research with this population has also raised concerns about research practices that may unintentionally stigmatize or retraumatize the very communities they are designed to benefit. Conducting stigma research is critical for generating accurate information about HIV epidemiology, risk and protective factors, and intervention strategies for transgender and nonbinary individuals.
View Article and Find Full Text PDFProspective associations of adolescent obesity phenotypes with self-reported polycystic ovary syndrome diagnosis in young adulthood.
Hum Reprod
January 2025
Department of Epidemiology, Brown University School of Public Health, Providence, RI, USA.
Study Question: Are empirically derived adolescent overweight/obesity phenotypes differentially associated with polycystic ovary syndrome (PCOS) in young adulthood?
Summary Answer: Self-reported PCOS diagnosis risk in young adulthood varied by empirically derived adolescent overweight/obesity phenotypes, with the highest risk observed among those in the 'mothers with obesity' and 'early puberty' phenotypes.
What Is Known Already: Overweight and obesity during puberty are postulated to promote the development of PCOS. Much of the prior literature in this area is cross-sectional and defines weight status based solely on BMI, yet emerging research suggests that not all people with overweight/obesity have the same risk for chronic health conditions, including PCOS.
Testing Machine Learning-Based Pain Assessment for Postoperative Geriatric Patients.
Comput Inform Nurs
January 2025
Author Affiliations: Zonguldak Atatürk State Hospital (Dr Alkan); and Faculty of Health Sciences, Department of Nursing, Zonguldak Bülent Ecevit University (Dr Taşdemir), Zonguldak, Turkey.
The global population is aging, and there is a concomitant increase in surgery for the elderly. In geriatric patients, where postoperative pain assessment is difficult, technological tools that perform automatic pain assessment are needed to alleviate the workload of nurses and to accurately assess patients' pain. This study offers a more reliable and rapid assessment tool for assessing the pain of elderly patients undergoing surgery.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!