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Background: The Hispanic Caribbean region is rapidly aging but national population-based aging surveys are rare. The Caribbean American Dementia and Aging Study (CADAS) is a multi-purpose household study of aging with a particular focus on the life course determinants and consequences of health and dementia in three countries with many similarities but divergent recent histories: Puerto Rico, Dominican Republic, and Cuba.
Methods: CADAS will survey population-based samples of adults ages 65 and over. In Puerto Rico and Dominican Republic these will be nationally representative samples of 1,500 adults each; the Cuban survey will include 1,500 adults from purposively selected urban and rural areas. We are collecting detailed data modules that encompass individual health metrics, sociodemographic background, physical and neurological exam, cognitive function, and household economic status. Data modules are generally harmonized with related Health and Retirement Surveys (HRS) around the world. Participant cognitive assessment protocols and informant reports were designed to be broadly harmonized with the 10/66 Dementia Research Group assessments and the Harmonized Cognitive Assessment Protocol (HCAP). Data collection is in progress in all three countries. For a subset of CADAS data, clinicians will provide online clinical consensus diagnoses based on National Institute on Aging and Alzheimer’s Association (NIA-AA) ratings.
Discussion: With this study, we will contribute nationally representative data on health, dementia and cognitive aging in Dominican Republic and Puerto Rico, as well as harmonized data in Cuba to expand understanding of aging and dementia in the Hispanic Caribbean and promote cross-national comparative research around the world.
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http://dx.doi.org/10.1186/s12877-025-06131-0 | DOI Listing |
Cien Saude Colet
August 2025
Universidade Federal de Viçosa. Endereço e CEP Viçosa MG Brasil.
The objective of this scoping review was to identify the validation process and the methodological characteristics of food insecurity perception scales in different parts of the world. A search was carried out in the PubMed, Embase, Scielo, Medline, Lilacs and Google Scholar databases, in addition to the gray literature. The pre-selection of studies took place by reading the titles and abstracts, followed by reading in full.
View Article and Find Full Text PDFNurs Sci Q
October 2025
Associate Professor, Hunter College, New York, New York, USA.
The purpose of this paper is to discuss a global health nursing experience. A group of 12 students, along with one faculty member, of a public college's nursing program completed an 8-day trip focused on nursing in the Dominican Republic. The trip used a for-profit third-party provider, and it was hosted by a non-governmental organization.
View Article and Find Full Text PDFMultivariate Behav Res
September 2025
Department of Social Psychology and Methodology, Universidad Autonoma de Madrid, Madrid, Spain.
Wording effects, the systematic method variance arising from the inconsistent responding to positively and negatively worded items of the same construct, are pervasive in the behavioral and health sciences. Although several factor modeling strategies have been proposed to mitigate their adverse effects, there is limited systematic research assessing their performance with exploratory structural equation models (ESEM). The present study evaluated the impact of different types of response bias related to wording effects (random and straight-line carelessness, acquiescence, item difficulty, and mixed) on ESEM models incorporating two popular method modeling strategies, the correlated traits-correlated methods minus one (CTC[M-1]) model and random intercept item factor analysis (RIIFA), as well as the "do nothing" approach.
View Article and Find Full Text PDFFront Artif Intell
August 2025
Department of Signal Theory and Communications and Telematic Engineering, University of Valladolid, Valladolid, Spain.
Introduction: The rapid expansion of generated data through social networks has introduced significant challenges, which underscores the need for advanced methods to analyze and interpret these complex systems. Deep learning has emerged as an effective approach, offering robust capabilities to process large datasets, and uncover intricate relationships and patterns.
Methods: In this systematic literature review, we explore research conducted over the past decade, focusing on the use of deep learning techniques for community detection in social networks.
BMC Palliat Care
September 2025
Medical School, Internal Medicine Department, Geriatrics Division, São Paulo State University (UNESP), Av. Prof. Mario Rubens Guimaraes Montenegro, Botucatu, SN, 18618-687, Brazil.
Background/aims: The extent to which low- and middle-income countries have implemented Advance Care Planning (ACP) and Advance Directives (AD) remains unclear. We aimed to map the current status of ACP/AD in Latin America.
Methods: This cross-sectional, mixed-methods survey of ACP/AD in LA comprised interviews with 18 key informants from 18 out of 20 countries, most of whom were appointed by national Palliative Care Associations.