Objective: In this study, we seek to explain how unemployment is related to an increase in health-damaging actions. A short time perspective, that is an orientation towards the present rather than the future, is hypothesised to account for this effect. The concept of time perspective is located within an action theoretical framework and the hypothesis is tested empirically.
Methods: We investigated the unemployed people's smoking behaviour and body-mass index (BMI) using German microcensus data from 2003. Data from 77,766 respondents (88.60% employed and 11.40% unemployed) were analysed. Multivariate regression analysis was applied to test our hypotheses.
Results: Unemployment is associated with a 46% higher probability to smoke and with a 0.37 unit increase in BMI compared to employment. The likelihood of smoking steadily increases with the duration of unemployment, while only unemployment spells of 4 years and longer are significantly related to BMI. Yet, the smoking probability of those unemployed who have a long time perspective is 74% lower and their BMI is 1.81 lower than those who do not have a long time perspective.
Conclusion: Unemployment is negatively associated with health-relevant actions. This effect varies according to persons' time perspectives. Our approach delivers an innovative view on why unemployed individuals exercise more health-damaging actions than the employed.
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http://dx.doi.org/10.1007/s00038-009-0075-1 | DOI Listing |
Anim Cogn
January 2025
Neuroscience Department, Oberlin College, 173 Lorain St, Oberlin, OH, USA.
Keeping track of time intervals is a crucial aspect of behavior and cognition. Many theoretical models of how the brain times behavior make predictions for steady-state performance of well-learned intervals, but the rate of learning intervals in these models varies greatly, ranging from one-shot learning to learning over thousands of trials. Here, we explored how quickly rats and mice adapt to changes in interval durations using a serial fixed-interval task.
View Article and Find Full Text PDFJ Voice
January 2025
Teachers College, Columbia University, New York, NY. Electronic address:
Objectives: The purpose of this study was to analyze cepstral changes following intensive voice-focused treatment in Spanish speakers with Parkinson's disease (PD). A secondary aim of the study was to explore the relationship between cepstral values across time and perceptual data across speech subsystems.
Study Design/methods: This study followed a one-group pretest-post test design.
Z Evid Fortbild Qual Gesundhwes
January 2025
Department of Prevention and Evaluation, Leibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany; Leibniz ScienceCampus Digital Public Health Bremen (LSC DiPH), Bremen, Germany; Faculty of Human and Health Sciences, University of Bremen, Bremen, Germany.
Introduction: The increasing digitalization of the healthcare system makes it possible to provide medical services using digital technologies without direct patient-provider contact. This study aimed to investigate 1) the use and acceptance of video consultation and 2) factors associated with the use of video consultation.
Methods: A cross-sectional online survey was conducted in February 2023.
Anal Chem
January 2025
State Key Laboratory of Biogeology and Environmental Geology, Engineering Research Center of Nano-Geomaterials of the Ministry of Education, Faculty of Materials Science and Chemistry, China University of Geosciences, Wuhan 430074, P. R. China.
Proteins have been one of the most important biomarkers for diagnosing diseases, and field-effect transistor (FET) biosensors possess high sensitivity; are label-free; and feature real-time detection, rapidity, and easy integration for protein detection. FET biosensors are mainly made up of FET parts, such as channel materials, and bio parts, such as receptors. This Tutorial provides an in-depth exploration of FET biosensors for protein detection from the composition perspective and discusses the commercialization of point-of-care diagnostics of proteins based on FET biosensors.
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