This study aims to advance the theoretical understanding of the contextual antecedents underlying abusive supervision. It provides a fresh perspective on how subordinates' perceptions of an abusive supervision climate are shaped in temporary work environments. By developing a robust model, this research examines the relationships between temporary organizational characteristics (i.e., temporariness and membership flexibility), trust in ad-hoc supervisors, and perceived abusive supervision climates. We tested the hypothesized model using data from 340 aircrew engaged in temporary and constantly shifting supervisor-subordinate relationships. The results revealed that: (a) temporariness has a direct negative relationship with trust in ad-hoc supervisors, whereas membership flexibility positively affects this trust; (b) the link between temporariness/membership flexibility and a perceived abusive supervision climate is mediated by trust in ad-hoc supervisors. Furthermore, this study highlights gender interactions in a transactional context, indicating that: (c) females perceive a stronger negative association between trust and abusive supervision climates compared to males; and (d) the relationship between temporariness/membership flexibility and trust in ad-hoc supervisors is significant for women and men, respectively. In conclusion, this study underscores the importance of considering the unique organizational characteristics of temporary work settings when examining abusive supervision. It also emphasizes the role of gender in shaping subordinates' perceptions of a workplace victimization climate, particularly in situations where leader-member exchanges are ephemeral and contractual.
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http://dx.doi.org/10.3390/bs13080656 | DOI Listing |
Contemp Clin Trials
January 2025
Department of Statistical Science, University College London, Room 120, 1-19 Torrington Pl, London WC1E 7HB, UK. Electronic address:
Background: Sexual exploitation of children and adolescents (SECA) is a mostly invisible phenomenon, having negative impacts on adolescents' health and well-being.. There is increasing awarenessof preventative strategies to reduce sexual exploitation of children and adolescents, but limited evidence on their effectiveness and mechanisms.
View Article and Find Full Text PDFChild Abuse Negl
January 2025
Johns Hopkins School of Medicine, United States of America. Electronic address:
Background: Identifying non-accidental trauma (NAT) in pediatric trauma patients is challenging. We developed a machine learning model that uses demographic characteristics and ICD10 codes to detect the first diagnosis of NAT.
Methods: We analyzed data from the Maryland Health Services Cost Review Commission (2015-2020) for patients aged 0-19 years.
BMC Prim Care
January 2025
Département de psychiatrie, Centre de recherche de l'Institut universitaire en santé mentale de Montréal, Université de Montréal, Montreal, QC, Canada.
Objectives: This study identified profiles of outpatient physician follow-up care and other practice features, mostly after detection of incident mental disorders (MD), and associated these profiles with patient characteristics and subsequent adverse outcomes.
Methods: A cohort of 170,957 patients age 12 + with a new or recurrent MD detected in 2019-20 was investigated based on data from the Quebec Integrated Chronic Disease Surveillance System. Latent class analysis was performed to identify follow-up care profiles, mostly within one year of MD detection.
BMC Psychol
January 2025
Health Department of Kuala Lumpur and Putrajaya, Health office of Lembah Pantai District, Ministry of Health, Kuala Lumpur, Malaysia.
Background: Child maltreatment in daycare is a public health issue. As childcare is stressful, high care provider negativity independently predicts more internalizing behaviour problems, affecting children's psycho-neurological development. This study aimed to determine psychosocial factors associated with the mental health of preschool care providers in Kuala Lumpur.
View Article and Find Full Text PDFJAMA Netw Open
January 2025
Mental Illness Research, Education and Clinical Center, Crescenz Veterans Affairs Medical Center, Philadelphia, Pennsylvania.
Importance: Recently, the US Food and Drug Administration gave premarketing approval to an algorithm based on its purported ability to identify individuals at genetic risk for opioid use disorder (OUD). However, the clinical utility of the candidate genetic variants included in the algorithm has not been independently demonstrated.
Objective: To assess the utility of 15 genetic variants from an algorithm intended to predict OUD risk.
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