Social categorization is a universal mechanism for making sense of a vast social world with roots in perceptual, conceptual, and social systems. These systems emerge strikingly early in life and undergo important developmental changes across childhood. The development of social categorization entails identifying which ways of classifying people are culturally meaningful, how these categories might be used to predict, explain, and evaluate the behavior of other people, and how one's own identity relates to these systems of categorization and representation. Social categorization can help children simplify and understand their social environment but has detrimental consequences in the forms of stereotyping, prejudice, and discrimination. Thus, understanding how social categorization develops is a central problem for the cognitive, social, and developmental sciences. This review details the multiple developmental processes that underlie this core psychological capacity.
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http://dx.doi.org/10.1146/annurev-devpsych-121318-084824 | DOI Listing |
BMC Psychiatry
January 2025
Research Center of Psychiatry and Behavioral Sciences, Tabriz University of Medical Sciences, Tabriz, Islamic Republic of Iran.
Introduction: Mental disorders, such as anxiety and depression, significantly impacted global populations in 2019 and 2020, with COVID-19 causing a surge in prevalence. They affect 13.4% of the people worldwide, and 21% of Iranians have experienced them.
View Article and Find Full Text PDFScand J Med Sci Sports
January 2025
Department of Sports Science and Clinical Biomechanics, University of Southern Denmark, Odense, Denmark.
Physical activity (PA) reduces the risk of negative mental and physical health outcomes in older adults. Traditionally, PA intensity is classified using METs, with 1 MET equal to 3.5 mL O·min·kg.
View Article and Find Full Text PDFSci Rep
January 2025
Chubu Institute for Advanced Studies, Chubu University, Kasugai, Aichi, Japan.
Event-based surveillance is crucial for the early detection and rapid response to potential public health risks. In recent years, social networking services (SNS) have been recognized for their potential role in this domain. Previous studies have demonstrated the capacity of SNS posts for the early detection of health crises and affected individuals, including those related to infectious diseases.
View Article and Find Full Text PDFSouth Med J
January 2025
Department of Allergy and Immunology, Nemours Children's Health, Orlando, Florida.
Objectives: Despite advances in therapies and educational initiatives, pediatric allergy disorders, including asthma, allergic rhinitis, and eczema, continue to pose substantial health challenges. Understanding the social determinants of health (SDoH) linked with these conditions is a critical area of research due to their multifactorial nature. This study aimed to assess the SDoH influencing pediatric allergy disorders in central Florida, specifically examining four groups of children: with asthma only, with eczema only, with both asthma and eczema, and a control group without these conditions.
View Article and Find Full Text PDFJ Med Internet Res
December 2024
Laboratoire d'Informatique Médicale et d'Ingénierie des Connaissances en e-Santé - LIMICS, Inserm, Université Sorbonne Paris-Nord, Sorbonne Université, Paris, France.
Background: Artificial intelligence (AI) applied to real-world data (RWD; eg, electronic health care records) has been identified as a potentially promising technical paradigm for the pharmacovigilance field. There are several instances of AI approaches applied to RWD; however, most studies focus on unstructured RWD (conducting natural language processing on various data sources, eg, clinical notes, social media, and blogs). Hence, it is essential to investigate how AI is currently applied to structured RWD in pharmacovigilance and how new approaches could enrich the existing methodology.
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