Browsing by Author "Ibanez, Agustin"
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Publication The impacts of social determinants of health and cardiometabolic factors on cognitive and functional aging in Colombian underserved populations(2023) Santamaria, Hernando; Moguilner, Sebastian; Rodriguez, Odir; Botero, Felipe; Pina, Stefanie; O’Donovan, Gary; Albala, Cecilia; Matallana, Diana; Schulte, Michael; Slachevsky Chonchol, Andrea; Yokoyama, Jennifer; Possin, Katherine; Ndhlovu, Lishomwa; Al‑Rousan, Tala; Corley, Michael; Kosik, Kenneth; Muniz, Graciela; Miranda, J. Jaime; Ibanez, AgustinGlobal initiatives call for further understanding of the impact of inequity on aging across underserved populations. Previous research in low- and middle-income countries (LMICs) presents limitations in assessing combined sources of inequity and outcomes (i.e., cognition and functionality). In this study, we assessed how social determinants of health (SDH), cardiometabolic factors (CMFs), and other medical/social factors predict cognition and functionality in an aging Colombian population. We ran a cross-sectional study that combined theory- (structural equation models) and data-driven (machine learning) approaches in a population-based study (N = 23,694; M = 69.8 years) to assess the best predictors of cognition and functionality. We found that a combination of SDH and CMF accurately predicted cognition and functionality, although SDH was the stronger predictor. Cognition was predicted with the highest accuracy by SDH, followed by demographics, CMF, and other factors. A combination of SDH, age, CMF, and additional physical/psychological factors were the best predictors of functional status. Results highlight the role of inequity in predicting brain health and advancing solutions to reduce the cognitive and functional decline in LMICs.Item The power of knowledge about dementia in Latin America across health professionals working on aging(2020) Ibanez, Agustin; Flichtentrei, Daniel; Hesse, Eugenia; Dottori, Martin; Tomio, Ailin; Slachevsky, Andrea; Serrano, Cecilia M; Gonzalez-Billaut, Christian; Custodio, Nilton; Miranda, Claudia; Bustin, Julian; Cetckovitch, Marcelo; Torrente, Fernando; Olavarria, Loreto; Leon, Tomas; Costa Beber, Barbara; Bruki, Sonia; Suemoto, Claudia K.; Nitrini, Ricardo; Miller, Bruce L.; Yokoyama, Jennifer S.Methods: We investigated opinions among health professionals working on aging in LACs (N =3365) with regression models including expertise-related information (public policies, BI), individual differences (work, age, academic degree), and location. Results: Experts specified low public policy knowledge (X2 = 41.27, P < .001), high levels of stigma (X2 = 2636.37, P < .001), almost absent BI knowledge (X2 = 56.58, P < .001), and needs for regional diagnostic manuals (X2 = 2893.63, df = 3, P < .001) and data-sharing platforms (X2 = 1267.5, df = 3, P < .001). Lack of dementia knowledge was modulated by different factors. An implemented BI-based treatment for a proposed prevention program improved perception across experts. Discussion: Our findings help to prioritize future potential actions of governmental agencies and non-governmental organizations (NGOs) to improve LACs’ dementia knowledge.