Little is known about the degree to which individuals are uncertain about their future Social Security benefits, how this varies within the U.S. population, and whether this uncertainty influences financial decisions related to retirement planning. To illuminate these issues, we present empirical evidence from the Health and Retirement Study Internet Survey and document systematic variation in respondents' uncertainty about their future Social Security benefits by individual characteristics. We find that respondents with higher levels of uncertainty about future benefits hold a smaller share of their wealth in stocks.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3729115 | PMC |
| http://dx.doi.org/10.1002/jae.1235 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Targeting ultra-processed foods for prevention of type 2 diabetes: state of the evidence and future directions.
Diabetologia
January 2025
Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
The incidence of type 2 diabetes has risen globally, in parallel with the obesity epidemic and environments promoting a sedentary lifestyle and low-quality diet. There has been scrutiny of ultra-processed foods (UPFs) as a driver of type 2 diabetes, underscored by their increasing availability and intake worldwide, across countries of all incomes. This narrative review addresses the accumulated evidence from investigations of the trends in UPF consumption and the relationship with type 2 diabetes incidence.
View Article and Find Full Text PDFHybrid multi-objective optimization of µ-synthesis robust controller for frequency regulation in isolated microgrids.
Sci Rep
January 2025
Faculty of Engineering, Helwan University, Cairo, Egypt.
Frequency regulation in isolated microgrids is challenging due to system uncertainties and varying load demands. This study presents an optimal µ-synthesis robust control strategy that regulates microgrid frequency while enhancing system performance and stability-a proposed fixed-structure approach for selecting performance and robustness weights, informed by subsystem frequency analysis. The controller is optimized using multi-objective particle swarm optimization (MOPSO) and multi-objective genetic algorithm (MOGA) under inequality constraints, employing a Pareto front to identify optimal solutions.
View Article and Find Full Text PDFExploring the experience of stigma among children and adolescents with epilepsy in China: A qualitative study.
Epilepsy Behav
January 2025
Objective: Epilepsy-related stigma negatively affects the lives of children and adolescents. This study aims to explore the experience of stigma among children and adolescents with epilepsy in China.
Methods: This study used purposive sampling to select children and adolescents aged 10-18 diagnosed with epilepsy.
Telehealth for Goals of Care Conversations in Advanced CKD: A Mixed-Methods Pilot Study of US Veterans and Their Clinicians.
Kidney Med
November 2024
Division of Geriatrics and Extended Care, Edward Hines, Jr. VA Hospital, Hines, IL.
Rationale & Objective: Engaging patients with advanced chronic kidney disease (CKD) in goals of care (GOC) conversations is essential to align life-sustaining treatments with patient preferences. This pilot study described the feasibility of engaging older Veterans with advanced CKD in GOC conversations via telehealth by (1) comparing patient characteristics, including life-sustaining treatment note completion rates and preferences by visit modality, and (2) exploring Veteran and clinician perspectives surrounding telehealth GOC conversations.
Study Design: Mixed-method convergent design including a prospective, quantitative observational cohort analysis (n = 40) and qualitative, semi-structured interviews with 4 clinicians and 11 Veterans.
Physicians' required competencies in AI-assisted clinical settings: a systematic review.
Br Med Bull
January 2025
Department of Bioethics & Health Humanities, University Medical Center Utrecht, Utrecht University, Universiteitsweg 100, 3584 CG Utrecht, the Netherlands.
Background: Utilizing Artificial Intelligence (AI) in clinical settings may offer significant benefits. A roadblock to the responsible implementation of medical AI is the remaining uncertainty regarding requirements for AI users at the bedside. An overview of the academic literature on human requirements for the adequate use of AI in clinical settings is therefore of significant value.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!