The majority of research on the retirement decision has focused on the health and wealth aspects of retirement. Such research concludes that people in better health and those enjoying a higher socioeconomic status tend to work longer than their less healthy and less wealthy counterparts. While financial and health concerns are a major part of the retirement decision, there are other issues that may affect the decision to retire that are unrelated to an individual's financial and health status. Judgment and decision-making and behavioral-economics research suggests that there may be a number of behavioral factors influencing the retirement decision. The author reviews and highlights such factors and offers a unique perspective on potential determinants of retirement behavior, including anchoring and framing effects, affective forecasting, hyperbolic discounting, and the planning fallacy. The author then describes findings from previous research and draws novel connections between existing decision-making research and the retirement decision.
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Glob Epidemiol
June 2025
Business Analytics (BANA) Program, Business School, University of Colorado, 1475 Lawrence St. Denver, CO 80217-3364, USA.
AI-assisted data analysis can help risk analysts better understand exposure-response relationships by making it relatively easy to apply advanced statistical and machine learning methods, check their assumptions, and interpret their results. This paper demonstrates the potential of large language models (LLMs), such as ChatGPT, to facilitate statistical analyses, including survival data analyses, for health risk assessments. Through AI-guided analyses using relatively recent and advanced methods such as Individual Conditional Expectation (ICE) plots using Random Survival Forests and Heterogeneous Treatment Effects (HTEs) estimated using Causal Survival Forests, population-level exposure-response functions can be disaggregated into individual-level exposure-response functions.
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January 2025
Department of Endocrinology, Affiliated Hospital of Liaoning University of Traditional Chinese Medicine, Shenyang, Liaoning, 110033, China.
Objective: Insulin resistance (IR) is often present in diabetes, which imposes a heavy burden on the prevention and treatment of diabetes. Triglyceride glucose index (TyG) is simple, reliable and reproducible in detecting IR, and has great advantages in predicting the risk of diabetes. The aim of this study was to analyze the potential association between TyG and the risk of diabetes in Chinese middle-aged and older adults using a prospective cohort study design.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Psychological Sciences, Rice University, 6100 Main St, Houston, TX, 77005, USA.
Retirement has been associated with cognitive decline beyond normal age-related decline. However, there are many individual differences in retirement that can influence cognition. Subclinical depressive symptoms are common in late life and are associated with general memory decline and a bias towards remembering negative events (i.
View Article and Find Full Text PDFViruses
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MRC-University of Glasgow Centre for Virus Research, Glasgow G61 1QH, UK.
Different types of feline papillomaviruses (PVs) are associated with a variety of skin lesions and neoplasia, such as papillomas and cell carcinomas, but the virus can also be found in healthy skin. In this review, the European Advisory Board on Cat Diseases (ABCD), a scientifically independent board of veterinary experts on feline infectious diseases from 11 European Countries, discusses the current knowledge of feline PV infections. Cats most likely become infected through lesions or abrasions of the skin.
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January 2025
Servicio de Farmacia, Hospital Universitario Puerto Real, Cádiz, Spain.
The objective of regulatory authorities is to ensure a favourable risk-benefit balance for medicines in their licenced indication, without seeking to establish their place in the therapeutic armamentarium beyond that. The licenced indication covers heterogeneous subpopulations and often does not sufficiently specify the characteristics of the patients who may benefit. The regulatory information does not always show the benefit over the standard treatment(s); moreover, it only reacts to the conditions specified in the developer's application, and lacks an assessment of the clinical relevance of the benefit and its uncertainties.
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