Objectives: Although individuals with traumatic brain injury (TBI) often report higher levels of social isolation, little is known about the factors influencing their self-perception of loneliness. The aim of the current study was to investigate the relationship between loneliness, social network size, and personality variables (neuroticism and extraversion) after TBI, and in particular whether specific personality variables mediate the relationship between social network size and perception of loneliness. Methods: Here, we assessed self-reported loneliness, personality variables, and social network size of 24 individuals with moderate-to-severe TBI and 41 healthy comparison participants. We then carried out a mediation analysis to examine whether personality variables mediated the relationship between loneliness and social network size. Results: Our results indicate that individuals with TBI reported higher levels of loneliness and neuroticism, but there was no group difference in social network size or extraversion. The mediation analysis revealed that the association between social network size and loneliness was mediated by neuroticism, but not by extraversion. Conclusions: Our findings show that neuroticism is an intervening variable in the relationship between social network size and self-perception of loneliness in individuals with moderate-to-severe TBI, and presents a new possible target for clinicians and rehabilitators seeking to address reports of loneliness and social isolation in TBI. (JINS 2019, 25, 266-274).
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http://dx.doi.org/10.1017/S1355617718001108 | DOI Listing |
J Autism Dev Disord
January 2025
Leo Kannerhuis, Youz (Parnassia Group), Arnhem/Amsterdam, The Netherlands.
Research shows heterogeneity in experiences of social contact and social networks in autistic adults. In this study, we aim to identify clusters of social support networks and investigate associations of clusters with mastery, quality of life, and autism characteristics. Autistic adults (N = 381; 45.
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January 2025
School of Humanities and Social Sciences, Anhui University of Science and Technology, Huainan, 232001, China.
In this paper, the Hefei metropolitan area is selected as the research object to measure industrial carbon emissions in this area during 2010-2022. The main contribution is to deeply analyze the characteristics of the spatial correlation network of industrial carbon emissions in the Hefei metropolitan area with the modified gravity model and social network analysis(SNA), and to explore the driving factors of its formation with quadratic assignment procedure(QAP). It establishes the foundation for the Hefei metropolitan area to differentiated green city development policies.
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January 2025
Key Laboratory of Ethnic Language Intelligent Analysis and Security Governance of MOE, Minzu University of China, Beijing, 100081, China.
Aspect Category Sentiment Analysis (ACSA) is a fine-grained sentiment analysis task aimed at predicting the sentiment polarity associated with aspect categories within a sentence.Most existing ACSA methods are based on a given aspect category to locate sentiment words related to it. When irrelevant sentiment words have semantic meaning for the given aspect category, it may cause the problem that sentiment words cannot be matched with aspect categories.
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January 2025
Department of Community Medicine and Family Medicine, All India Institute of Medical Sciences, Bhubaneswar, Odisha, India.
Background: The avoidable causes of infant mortality should be identified, and interventions should be made to improve the infant mortality rate. The cause of infant deaths should be assessed in both medical and social contexts.
Objectives: We aimed to determine the medical causes of infant mortality by verbal autopsy and its determinants in two rural blocks of the Khordha district of Odisha and assess the pathway of care and delay in seeking care for the illness preceding infant death using the three-delay model.
Psychol Sport Exerc
January 2025
Department of Counseling, Educational Psychology and Special Education, Michigan State University.
Communication among teammates can influence sport experiences of athletes, including burnout. This might occur through sharing of burnout perceptions, fostering development of burnout perceptions in teammates (i.e.
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