The prevention of neurodegenerative dementias, such as Alzheimer's disease, is a public health priority. Due to the large numbers of affected patients, even interventions bringing about a relatively small delay in disease onset could have large public health effects. Randomized controlled trials (RCTs) are required to demonstrate the effectiveness of preventive interventions, but such trials raise specific methodological questions because they are new in the field of neurodegenerative diseases, and require large numbers of elderly subjects and lengthy follow-up periods. We performed a literature search to identify primary prevention RCTs for neurodegenerative dementia. The methodology of the trials was summarized and discussed during two expert meetings. Overall, 39 trials were identified that assessed dementia incidence or cognitive decline as a primary or secondary study outcome. Age was the most common selection criteria for target populations. Follow-up periods ranged from one month to nine years and were longest in studies measuring dementia incidence as an outcome. Results of RCTs have so far been generally negative and conflicting with those of observational studies, perhaps due to methodological issues. Future trials must therefore carefully consider the target population, outcomes and duration of follow-up to be used, and should assess the problem of attrition.
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http://dx.doi.org/10.3233/JAD-2009-0971 | DOI Listing |
Am J Public Health
April 2025
Diego A. Díaz-Faes and Charles C. Branas are with the Mailman School of Public Health and Sonali Rajan is with Teachers College, Columbia University, New York, NY.
Dual-harm, the co-occurrence of self- and other-harm, recognizes the overlap between these outcomes of aggressive behavior and their potential shared causes. Little progress has been made in preventing and responding to dual-harm in the broader population, and it remains understudied in public health research. We posit that the scientific investigation of dual-harm would greatly benefit from the application of public health principles and methods.
View Article and Find Full Text PDFQual Health Res
March 2025
Maternal and Fetal Research Group, Vall d'Hebron Research Institute (VHIR), Barcelona, Spain.
This study investigated the use of group body mapping as a methodological tool to explore experiences of obstetric violence among migrant women from Senegal, Morocco, and Pakistan in Catalonia. The research aimed to assess the effectiveness of group body mapping in identifying the barriers these women faced during pregnancy, childbirth, and the postpartum period, while also highlighting the intersectional dimensions of obstetric violence. The study identified seven key codes-Issues/Barriers, Trust, Gender, Body/Embodiment, Significant Relationships, Employment, and Gender-Based Violence-which were analyzed from an intersectional perspective.
View Article and Find Full Text PDFWomens Health (Lond)
March 2025
Department of Psychology, University of Limerick, Limerick, Ireland.
Background: Climate change is an urgent global threat, with women in low- and middle-income countries (LMICs) disproportionately facing adverse health outcomes. Gendered roles, combined with socioeconomic, cultural, and environmental factors, exacerbate women's vulnerabilities, increasing the burden of mental health issues, water insecurity, sanitation challenges, and caregiving responsibilities.
Objectives: This review seeks to systematically examine the intersection between climate change and gendered health vulnerabilities, with a particular focus on women.
Mol Ecol Resour
March 2025
CIBIO, Centro de Investigação Em Biodiversidade e Recursos Genéticos, InBIO Laboratório Associado, Campus de Vairão, Universidade do Porto, Vairão, Portugal.
DNA metabarcoding is increasingly used in dietary studies, but it has limitations, such as detecting nonfood taxa. This issue is frequently mentioned in the literature but poorly understood, limiting interpretation of results and mitigation strategies. We evaluate the extent and sources of nonfood plant DNA in dietary metabarcoding, based on 281 faecal samples of a strictly insectivorous bat.
View Article and Find Full Text PDFPostep Psychiatr Neurol
December 2024
Britenet Med Ltd., Poland.
Purpose: Behavioral data collected from smartphones can assist artificial intelligence (AI) in assessing and predicting fluctuations in mental states in patients with bipolar disorder (BD). In Poland, the MoodMon online system is used to integrate passive and active data, including voice parameters, for analysis and the issue of alerts based on changes in individual's mental state. The study aims to explore whether active engagement of the patient enhances the efficacy of the advanced MoodMon tool.
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