Both material resources (jobs, healthcare), and socio-psychological resources (social contact) decreased during the COVID-19 pandemic. We investigated whether individual differences in perceived material and socio-psychological scarcity experienced during the pandemic predicted preference for cooperation, measured using two Public Good Games (PGGs), where participants contributed money or time (i.e., hours indoors contributed to shorten the lockdown). Material scarcity had no relationship with cooperation. Increased perceived scarcity of socio-psychological wellbeing (e.g., connecting with family) predicted increased preference for cooperation, suggesting that missing social contact fosters prosociality, whilst perceived scarcity of freedom (e.g., limited movement) predicted decreased willingness to spend time indoors to shorten the lockdown. The importance of considering individual differences in scarcity perception to best promote norm compliance is discussed.
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http://dx.doi.org/10.3389/fpsyg.2022.951757 | DOI Listing |
AIDS Res Ther
January 2025
Department of Nursing, Faculty of Heath Sciences, Mountains of the Moon University, P.O. Box 837, Fort Portal City, Uganda.
Introduction: Female sex workers (FSWs) in Uganda experience numerous barriers to antiretroviral therapy (ART) adherence. We used the planned behavior theory to help explore the enablers and barriers to ART adherence among FSWs. Understanding the barriers to ART adherence may help contribute to the development of interventions to improve ART adherence among the FSWs.
View Article and Find Full Text PDFIndian J Dent Res
November 2024
Department of Public Health Dentistry, S.C.B. Dental College and Hospital, Cuttack, Odisha, India.
Background: India launched the National Oral Health Program (NOHP) in the year 2014-15 to support the states for improved oral healthcare delivery and reduce the burden of oral diseases. The toll-free Interactive Voice Response System (IVRS) with contact number 1800112032, was initiated to deliver oral health-related information to users and guide them for proper treatment on World Oral Health Day on 20th March 2017. There is scarcity of data regarding the utility and perception of users about IVRS.
View Article and Find Full Text PDFDigit Health
January 2025
Department of Pain Management, Xinhua Hospital Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai, China.
Background: To overcome the challenge of psychotherapist scarcity in applying pain psychotherapy in clinical practice, we developed a virtual reality (VR) program delivering weeks of pain psychotherapy without psychotherapists, with a focus on minimizing the risk of motion sickness.
Objectives: We conducted a single-arm pilot study to assess the efficacy and motion sickness associated with a VR session delivering guided imagery and breathing techniques selected from the initial course of our VR program, involving patients suffering from various acute and chronic pain.
Methods: Patients underwent a 15-min VR session.
Children (Basel)
November 2024
Department of Nursing, School of Health Sciences, National and Kapodistrian University of Athens, Papadiamantopoulou 123, 11527 Athens, Greece.
Background/objectives: Evidence-based information is crucial for policymakers and providers of mental health and psychosocial services (MHPSS) for unaccompanied asylum-seeking children (UASC). However, there is a scarcity of national-level studies investigating the MHPSS needs of UASC and how these are addressed in Greece. The research objectives of this study were to explore: (a) the psychosocial and mental health needs of UASC living in Greek long-term accommodation facilities as perceived by MHPSS providers, and (b) the range of services across the country, highlighting gaps and best practices in service delivery.
View Article and Find Full Text PDFEntropy (Basel)
December 2024
School of Electrical and Electronic Engineering, Shijiazhuang Tiedao University, Shijiazhuang 050043, China.
Diagnosing faults in wheelset bearings is critical for train safety. The main challenge is that only a limited amount of fault sample data can be obtained during high-speed train operations. This scarcity of samples impacts the training and accuracy of deep learning models for wheelset bearing fault diagnosis.
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