Bachmann, Nicole
E-Mail-Adresse
Geburtsdatum
Suchergebnisse
Linkage of hospital and census data to analyse the social dimension of hospitalizations for specific chronic conditions: Methods and first results of the SIHOS-study on social inequalities in utilization and outcome of inpatient healthcare in Switzerland
Poster. Soziale Ungleichheiten in der stationären Gesundheitsversorgung in der Schweiz (NFP74-Projekt SIHOS)
Soziale Ungleichheit in der Schweizer Gesundheitsversorgung: Licht auf einen blinden Fleck
Lebenswelten, Umweltfaktoren und gesellschaftliche Rahmenbedingungen
In diesem Kapitel werden die in der Schweiz vorliegenden wissenschaftlich gestützten Informationen zu den Ressourcen und Belastungen der Lebenswelten von Kindern, Jugendlichen und jungen Erwachsenen vorgestellt. Dabei werden soziale, ökologische und ökonomische Aspekte berücksichtigt und im Hinblick auf Fragen der Chancengleichheit diskutiert. Die Zusammenstellung von zentralen Daten und Studienergebnissen aus der Schweiz wird ergänzt durch eine Befragung von Expertinnen und Experten aus der Kinder- und Jugendpolitik. Weiterführende Informationen finden sich in aktuellen gesamtschweizerischen Übersichtspublikationen, insbesondere dem Familienbericht (BFS, 2017a), dem Bildungsbericht (SKBF, 2018) und dem Sozialbericht (BFS, 2019a).
Psychological distress trajectories in chronic physical health conditions
Objective: The onset of a chronic health condition (CHC) can have a severe impact on an individual's life, affecting mental and physical health. This study's goal was to investigate psychological distress trajectories starting from 1 year before to 4 years after the onset of a physical CHC. The specific aims were to identify the number and shape of longitudinal psychological distress trajectories and to test health-related, psychological, social, and demographic factors predicting these trajectories. Method: Two samples were drawn from the Swiss Household Panel data set: a CHC sample (n = 361) and a 1-to-1 matched comparison sample of healthy individuals. Latent growth mixture modeling was used to identify psychological distress trajectories over 6 years. Factors predicting trajectories were then tested using multinomial logistic regression. Results: Four psychological distress trajectories were identified in the CHC sample: resilience (53.9%), chronic (22.2%), delayed (15.0%), and recovery (8.9%). In the comparison sample, two trajectories were identified: low psychological distress (90%) and elevated psychological distress (10%). Protective factors associated with resilient trajectory membership in the CHC sample were higher emotional stability, higher relationship satisfaction, and male gender. Conclusion: Individuals living with a CHC had an increased risk of vulnerability compared with a sample of healthy individuals. This advocates awareness of mental health issues following the onset of a CHC. In this regard, biopsychosocial factors (gender, emotional stability, and relationship satisfaction) offer prevention and intervention opportunities for more vulnerable individuals. (PsycINFO Database Record (c) 2019 APA, all rights reserved).