Unlabelled: Lifestyle modification programs tailored to experience, culture, psychosocial characteristics, and world-view can improve knowledge, self-care behaviors, and glucose control among Latinos with diabetes. Few data exist, however, on improving diabetes self-management among Latinos. In addition, views and practices of practitioners caring for these patients have received little attention.
Objective: This study describes findings from qualitative research to inform the refinement of self-management interventions tailored to Latino patients with type 2 diabetes.
Methods: Two practitioner focus groups assessed perceptions of patients' knowledge, attitudes, and behaviors. Four patient focus groups examined knowledge, beliefs, practices, barriers, and facilitators. Data were transcribed and subjected to content analysis.
Results: Thirty-seven patients seeking care at a community clinic participated, along with 15 health care practitioners. Important knowledge gaps regarding diabetes causation and self-management were identified. Negative attitudes towards self-management were common among patients. Key facilitators included strong religious faith and support of medical practitioners. Families both facilitated and prevented adoption of self-management practices.
Conclusion: This study provides unique insights into the knowledge, attitudes, practices, and perceived barriers facing Latino patients and their providers regarding diabetes self-management.
Practice Implications: Study findings underscore the need to develop tailored programs for this population and to train practitioners on their implementation.
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http://dx.doi.org/10.1016/j.pec.2006.12.003 | DOI Listing |
Alzheimers Dement
December 2024
Columbia University, New York, NY, USA.
Background: Alzheimer's disease (AD) missing heritability remains extensive despite numerous genetic risk loci identified by genome-wide association or sequencing studies. This has been attributed, at least partially, to mechanisms not currently investigated by traditional single-marker/gene approaches. Polygenic Risk Scores (PRS) aggregate sparse genetic information across the genome to identify individual genetic risk profiles for disease prediction and patient risk stratification.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
John P. Hussman Institute for Human Genomics, Miami, FL, USA.
Background: In the US, African Americans (admixed with African and European) followed by Hispanics (admixed with Amerindian, African, and European) are the most affected groups compared to non-Hispanic Whites (NHW). While genetic diversity and admixture play crucial roles in disease risk, the ancestry-specific mechanisms remain poorly understood with most AD-related studies focusing on NHW. Despite the recent field efforts to include genetically admixed populations, there continues to be a lack of functional studies in AD across the different cell types in these populations.
View Article and Find Full Text PDFBackground: The aging and dementia field has long been interested in understanding disease heterogeneity, subtypes, and progression. Work has progressed from clinical, to neuroimaging to biomedical devices to neuropathological data, and now brain and blood omic data.
Method: The AMP-AD consortium generated and/or annotated genomic, epigenomic, transcriptomic, proteomic, and metabolomic data from brain and/or blood from thousands of study participants and patients across the 8 teams.
Alzheimers Dement
December 2024
Neuroscience and Aging Research Unit, Institute of Advanced Medical Research and Training, College of Medicine, University of Ibadan, Ibadan, Nigeria.
Achieving greater diversity and inclusion in global dementia research requires the inclusion of underrepresented geographic, ethnic and regional populations such as indigenous Africans. The ADSP is a collaborative global initiative that includes sample collection across diverse populations, data generation including whole genome sequencing in over 120,000 individuals and multi-omics, the collating of rich phenotypic information, data harmonization, and unified data management and quality control. These datasets are being analyzed to accelerate our understanding of AD neurobiology with implications for better risk prediction and discovery of novel precision diagnostics and therapeutics.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Cognitive Neuroscience Center, University of San Andrés, Victoria, Buenos Aires, Argentina.
Background: Automated speech and language analysis (ASLA) represents a powerful innovation for detecting and monitoring persons with or at risk for dementia. Given its cost-efficiency and automaticity, its impact can be vital for under-resourced communities, such Spanish-speaking Latinos. However, ASLA markers are understudied in this group and may differ from those established in widely studied populations (e.
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