Objective: To examine the effectiveness of a multilevel intervention to reduce HIV stigma among alcohol consuming men living with HIV in India.
Design: A crossover randomized controlled trial in four sites.
Setting: Government ART centres (ARTCs) offering core services in the greater Mumbai area.
Participants: Seven hundred and fifty two (188 per site) alcohol-consuming male PLHIV on ART were recruited.
Intervention: Multilevel intervention to reduce alcohol consumption and promote adherence by addressing stigma, implemented at the individual (individual counselling, IC), group (group intervention, GI) and community levels (collective advocacy, CA) in three distinct sequences over three cycles of 9 months each.
Main Outcome Measure: HIV stigma, measured using the 16-item Berger Stigma scale.
Methods: The article examines the effectiveness of the interventions to reduce stigma using Linear Mixed Model regression.
Results: At baseline, 57% of participants had moderate-high levels of stigma (scores >40). All three counseling interventions were effective in reducing stigma when delivered individually, in the first cycle (collective advocacy: βcoeff = -9.71; p < 0.001; group intervention: βcoeff = -5.22; p < 0.001; individual counselling: βcoeff = -4.43; p < 0.001). At then end of the second cycle, effects from the first cycle were sustained with no significant change in stigma scores. At the end of the third cycle, the site, which received CA+IC+GI sequence had maximum reduction in stigma scores (βcoeff = -10.29; p < 0.001), followed by GI+CA+IC (βcoeff = -8.23, p < 0.001).
Conclusion: Baseline findings suggest that stigma remains a problem even with experienced patients, despite advances in treatment and adherence. Results of multilevel stigma reduction interventions argue for inclusion in HIV prevention and treatment program.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1097/QAD.0000000000002604 | DOI Listing |
Mol Divers
January 2025
Key Laboratory for Macromolecular Science of Shaanxi Province, School of Chemistry and Chemical Engineering, Shaanxi Normal University, Xi'an, 710119, People's Republic of China.
Molecular Property Prediction (MPP) is a fundamental task in important research fields such as chemistry, materials, biology, and medicine, where traditional computational chemistry methods based on quantum mechanics often consume substantial time and computing power. In recent years, machine learning has been increasingly used in computational chemistry, in which graph neural networks have shown good performance in molecular property prediction tasks, but they have some limitations in terms of generalizability, interpretability, and certainty. In order to address the above challenges, a Multiscale Molecular Structural Neural Network (MMSNet) is proposed in this paper, which obtains rich multiscale molecular representations through the information fusion between bonded and non-bonded "message passing" structures at the atomic scale and spatial feature information "encoder-decoder" structures at the molecular scale; a multi-level attention mechanism is introduced on the basis of theoretical analysis of molecular mechanics in order to enhance the model's interpretability; the prediction results of MMSNet are used as label values and clustered in the molecular library by the K-NN (K-Nearest Neighbors) algorithm to reverse match the spatial structure of the molecules, and the certainty of the model is quantified by comparing virtual screening results across different K-values.
View Article and Find Full Text PDFJ Intellect Disabil
January 2025
Department of Occupational Therapy, Texas Woman's University, USA.
This scoping review explores (a) how k-12 schools facilitate social inclusion, specifically for students with extensive support needs (ESN) and (b) how those intervention approaches are measured. Given the cross-disciplinary nature of the topic, the search entailed ten different databases that identified 540 articles. Eight articles met the inclusion criteria and were included in this review.
View Article and Find Full Text PDFNutrients
January 2025
Division of Human Nutrition and Health, Wageningen University & Research, 6700 AB Wageningen, The Netherlands.
Background: Rapid socio-economic developments confront China with a rising consumption of ultra-processed foods (UPFs) and ultra-processed drinks (UPDs). This study aims to evaluate their potential impact on diet transformation towards sustainability including nutrition, environmental sustainability, and diet-related cost.
Methods: Dietary intake was assessed by 24 h recalls in 27,311 participants (age: 40.
Nutrients
January 2025
Health Research Institute, Faculty of Health, University of Canberra, Canberra, ACT 2617, Australia.
Introduction: Undernutrition in low- and middle-income countries (LMICs) remains a leading public health challenge. It accounts for one-third of the under-five mortality rate in sub-Saharan Africa (SSA). This study applied the composite index of anthropometric failure (CIAF) to assess the prevalence of various standalone and coexisting forms of undernutrition and identify associated risk factors.
View Article and Find Full Text PDFNutrients
January 2025
Department of Child and Family Studies, University of South Florida, Tampa, FL 33620, USA.
Background/objectives: Sleep disturbances are prevalent among pediatric cancer survivors (PCSs) and their caregivers, often leading to poorer dietary choices and reduced physical activity. Additionally, the sleep quality and health behaviors of parents and children can affect each other. This study examined bi-directional associations between PCSs and their parents' sleep quality and health-related behaviors.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!