Browsing by Subject "Adult"

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Determination of Alzheimer's Disease Stages by Artificial Learning Algorithms
(Lifescience Global, 2025) Bulut, Nurgül; Çakar, Tuna; Arslan, İlker; Akıncı, Zeynep Karaoğlu; Oner, Kevser Setenay
Introduction: This study aims to determine the stages of Alzheimer's disease (AD) using different machine learning algorithms, and compares the performance of these models. Methods: Demographic, genetic, and neurocognitive inventory data from the National Alzheimer's Coordinating Center (NACC) database as well as brain volume/thickness data from magnetic resonance imaging (MRI) scans were used. Deep Neural Networks, Ordinal Logistic Regression, Random Forest, Gaussian Naive Bayes, XGBoost, and LightGBM models were used to identify four different ordinal stages of AD. Results: Although the performance measures of the developed models were similar, the highest classification rate of AD stages was achieved by the Random Forest model (accuracy: 0.86; F1 score: 0.86; AUC: 0.95). The outputs of the model with the best performance were explained by the SHapley Addictive exPlanations (SHAP) method. Conclusions: This indicates that non-invasive markers and machine learning models can be used effectively in early diagnosis and decision support systems to predict stages of AD. © 2025 Elsevier B.V., All rights reserved.
Perceiving Societal Pressure To Be Happy Is Linked To Poor Well-Being, Especially in Happy Nations
(Nature Research, 2022) Rhee, J Joshua; Peker, Müjde; Becker, Maja; Bilewicz, Michal; Bastian, Brock; Baguma, K Peter; Barry, Oumar; Dejonckheere, Egon; Baguma, Peter K.
Happiness is a valuable experience, and societies want their citizens to be happy. Although this societal commitment seems laudable, overly emphasizing positivity (versus negativity) may create an unattainable emotion norm that ironically compromises individual well-being. In this multi-national study (40 countries; 7443 participants), we investigate how societal pressure to be happy and not sad predicts emotional, cognitive and clinical indicators of well-being around the world, and examine how these relations differ as a function of countries' national happiness levels (collected from the World Happiness Report). Although detrimental well-being associations manifest for an average country, the strength of these relations varies across countries. People's felt societal pressure to be happy and not sad is particularly linked to poor well-being in countries with a higher World Happiness Index. Although the cross-sectional nature of our work prohibits causal conclusions, our findings highlight the correlational link between social emotion valuation and individual well-being, and suggest that high national happiness levels may have downsides for some.
Social Connectedness and Mental Health Before and During the Covid-19 Pandemic in a Community Sample in Korea
(Public Library of Science, 2023) You, Sungeun; Moon, Hyejoo; Lee, Sojung; Şahin, Banu Çankaya; Caine, Eric; Ko, Jisu; Cankaya, Banu
This study compared social connectedness patterns and examined the relationships between objective or subjective social connectedness and mental health before and during the COVID-19 pandemic among community dwelling adults in South Korea. An identical online survey was administered at two time points, in 2019 prior to the onset and again in 2021. Objective (network diversity and network size) and subjective (thwarted belongingness and perceived burdensomeness) social connectedness were measured along with positive and negative indices of mental health (depression, suicidal behavior, happiness, and life satisfaction). The results indicated that among social connectedness indices perceived burdensomeness were significantly higher during the COVID-19 pandemic compared to the prior period, while network size was smaller. Subjective social connectedness was associated with all aspects of mental health consequences, either positive or negative. Among objective social connectedness, only network diversity was significantly associated with increased happiness and life satisfaction, and objective social connectedness was not associated with depression and suicidal behavior. These associations did not differ across the two time periods. The findings, both before and during the pandemic, indicated that network diversity is an important factor for positive indices of mental health and that efforts to increase subjective social connectedness are needed to decrease the risk of depression and suicidal behavior.