Ego development, the capacity to derive coherent, nuanced meaning from one's life experiences, often has significant impact on psychosocial adjustment during adulthood. Research with nonclinical populations has indicated links between higher ego development and healthy emotional coping and interpersonal relationships. Emerging research with substance-abusing mothers suggests that higher levels of ego development are associated with improved parenting but also with increased rates of psychopathology. Less is known about how ego development is related to other psychosocial factors important for substance-abusing mothers' functioning and capacity to parent, including the proclivity to engage in risky behaviors, adaptive coping behaviors, and readiness to engage in psychotherapy. The present study examines these links. Participants included 182 methadonemaintained women who expressed interest in a randomized clinical trial testing the efficacy of a relational parenting intervention for substance-abusing mothers (Luthar, Suchman, & Altomare, 2007). Data were analyzed using a series of MANCOVAs and ANCOVAs controlling for maternal IQ and depression. Mothers with higher levels of ego development reported more adaptive coping techniques and greater readiness to engage in psychotherapy but also reported a heightened desire for strong sensations. Findings are discussed in light of mothers' psychological processes and parenting capacities. The significance of findings for developing parenting interventions for substance-abusing mothers is also discussed.
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http://dx.doi.org/10.1111/j.1939-0025.2012.01146.x | DOI Listing |
Entropy (Basel)
December 2024
Faculty of Science, Kunming University of Science and Technology, Kunming 650500, China.
Currently, the rapid development of social media enables people to communicate more and more frequently in the network. Classifying user activities in social networks helps to better understand user behavior in social networks. This paper first creates an ego network for each user, encodes the higher-order topological features of the ego network as persistence diagrams using persistence homology, and computes the persistence entropy.
View Article and Find Full Text PDFBMC Med Educ
January 2025
Department of Didactics of Musical, Plastic and Corporal Expression, Faculty of Education Sciences, University of Granada, Granada, Spain.
Background: Motivation is a variable that directly influences task orientation. Within the motivational sphere, the motivational climate determines whether a task is performed with an intrinsic or extrinsic.
Purpose: It has been observed that depending on motivational orientations, anxiety levels and task performance can be increased.
Behav Sci (Basel)
November 2024
School of Psychology, Northeast Normal University, Changchun 130024, China.
Fairness-related decision-making often involves a conflict between egoistic and prosocial motives. Previous research based on Terror Management Theory (TMT) indicates that mortality salience can promote both selfish and prosocial behaviors, leaving its effect on fairness-related decision-making uncertain. This study integrates TMT with the strength model of self-control to investigate the effects of mortality salience on fairness-related decision-making and to examine the moderating role of dispositional self-control.
View Article and Find Full Text PDFHealth Sci Rep
January 2025
Department of Microbiology Dr D. Y. Patil Medical College, Hospital and Research Centre, Dr D. Y. Patil Vidyapeeth (Deemed-to-be-University) Pune Maharashtra India.
Background And Aims: Artificial Intelligence (AI) beginning to integrate in healthcare, is ushering in a transformative era, impacting diagnostics, altering personalized treatment, and significantly improving operational efficiency. The study aims to describe AI in healthcare, including important technologies like robotics, machine learning (ML), deep learning (DL), and natural language processing (NLP), and to investigate how these technologies are used in patient interaction, predictive analytics, and remote monitoring. The goal of this review is to present a thorough analysis of AI's effects on healthcare while providing stakeholders with a road map for navigating this changing environment.
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