The Relationship between Internal and External Resources, Social Withdrawal, and Depression of Adolescents from Multicultural Families

2021 ◽  
Vol 5 (2) ◽  
pp. 1-29
Author(s):  
Chun Ji-eun ◽  
Park Ji-sun
2021 ◽  
Vol 12 ◽  
Author(s):  
Brandon L. Boring ◽  
Kaitlyn T. Walsh ◽  
Namrata Nanavaty ◽  
Vani A. Mathur

The experience of pain is subjective, yet many people have their pain invalidated or not believed. Pain invalidation is associated with poor mental health, including depression and lower well-being. Qualitative investigations of invalidating experiences identify themes of depression, but also social withdrawal, self-criticism, and lower self-worth, all of which are core components of shame. Despite this, no studies have quantitatively assessed the interrelationship between pain invalidation, shame, and depression. To explore this relationship, participants recounted the frequency of experienced pain invalidation from family, friends, and medical professionals, as well as their feelings of internalized shame and depressive symptoms. As shame has been shown to be a precursor for depression, we further explored the role of shame as a mediator between pain invalidation and depressive symptoms. All sources of pain invalidation were positively associated with shame and depressive symptoms, and shame fully mediated the relationship between each source of pain invalidation and depression. Relative to other sources, pain invalidation from family was most closely tied to shame and depression. Overall, findings indicate that one mechanism by which pain invalidation may facilitate depression is via the experience of shame. Future research may explore shame as a potential upstream precursor to depression in the context of pain. Findings provide more insight into the harmful influence of pain invalidation on mental health and highlight the impact of interpersonal treatment on the experiences of people in pain.


2006 ◽  
Vol 20 (3) ◽  
pp. 229-246 ◽  
Author(s):  
Sarah H. Ailey ◽  
Arlene M. Miller ◽  
Tamar Heller ◽  
Everett V. Smith

The Interpersonal Model of Depression (IMD) based on the Theory of Human Relatedness (Hagerty, Lynch-Sauer, Patusky, & Bouwsema, 1993) is evaluated among adults with Down syndrome. One hundred subjects participated, with 32% having elevated depression scores and 40% stating they felt lonely. The relationship between depression, perceived social support, loneliness, and life satisfaction is statistically significant, F(6, 172) = 4.36, p < .001. Loneliness, social isolation, loss of sense of well-being, self-hate, and social withdrawal are important interpersonal manifestations and represent increasing levels of depression. Social and emotional loneliness are two dimensions of loneliness. The IMD provides a framework to assess depression in this population. Research on the efficacy of depression treatment based on the IMD is needed.


Author(s):  
Shinichiro Matsuguma ◽  
Ryan M. Niemiec

AbstractHikikomori, or social withdrawal youth has become one of the most pressing social issues in Japan and this phenomenon is increasing in other countries as well. While there is a movement to pathologize this phenomenon as a new psychological disorder, these case reports provide a fresh perspective of hikikomori using the lens of character strengths in the scientific field of positive psychology. These case reports illustrate how the hikikomori phenomenon can be understood, at least in part, using the framework of character strengths overuse, underuse, and optimal use by conducting the character strengths intervention for hikikomori youth. The authors offer examples of combinations of overuse and underuse of character strengths, with particular attention to the unique signature strengths, among hikikomori youth. Future directions of research include an empirical investigation of the relationship between the hikikomori phenomenon and the notion of overuse, underuse, and optimal use of character strengths, potentially using research methodology.


1992 ◽  
Vol 160 (2) ◽  
pp. 230-241 ◽  
Author(s):  
David A. Curson ◽  
Christos Pantelis ◽  
Jan Ward ◽  
Thomas R. E. Barnes

In their comparison of chronic schizophrenic patients in three British mental hospitals in 1960, Wing and Brown found a strong association between the poverty of the social environment and the severity of ‘clinical poverty’ (blunted affect, poverty of speech, and social withdrawal). Between 1960 and 1968 the social environments of all three hospitals improved and a weak causal relationship between social poverty and clinical poverty was reported in a proportion of patients. Using the same assessment instruments as Wing and Brown, the present study re-examined the relationship between social and clinical poverty in the long-stay schizophrenic population of a fourth British mental hospital in 1990. The association found between social and clinical poverty was much weaker than in 1960. Reluctance on the part of patients to be discharged from the institution was unrelated to length of stay. There was no significant difference in severity of illness between the patients in the present study and those in the earlier study. However, patients in the former group spent more time doing nothing than those in the hospital with the most understimulating environment three decades before, with four-fifths doing nothing for over five hours a day, despite a greatly increased ratio of nurses to patients.


2019 ◽  
Vol 46 (8) ◽  
pp. 607-614
Author(s):  
Shu-Jiun Chen

The study uses the Database of Names and Biographies (DNB) as an example to explore how in the transformation of original data into linked data, semantic enrichment can enhance engagement in digital humanities. In the preliminary results, we have defined instance-based and schema-based categories of semantic enrichment. In the instance-based category, in which enrichment occurs by enhancing the content of entities, we further determined three types, including: 1) enriching the entities by linking to diverse external resources in order to provide additional data of multiple perspectives; 2) enriching the entities with missing data, which is needed to satisfy the semantic queries; and, 3) providing the entities with access to an extended knowledge base. In the schema-based categories that enrichment occurs by enhancing the relations between the properties, we have identified two types, including: 1) enriching the properties by defining the hierarchical relations between properties; and, 2) specifying properties’ domain and range for data reasoning. In addition, the study implements the LOD dataset in a digital humanities platform to demonstrate how instances and entities can be applied in the full texts where the relationship between entities are highlighted in order to bring scholars more semantic details of the texts.


2021 ◽  
Vol 14 (2) ◽  
pp. 63
Author(s):  
Linqing Yang ◽  
Bo Liu ◽  
Youpei Huang ◽  
Xiaozhuo Li

The lack of entity label values is one of the problems faced by the application of Knowledge Graph. The method of automatically assigning entity label values still has shortcomings, such as costing more resources during training, leading to inaccurate label value assignment because of lacking entity semantics. In this paper, oriented to domain-specific Knowledge Graph, based on the situation that the initial entity label values of all triples are completely unknown, an Entity Label Value Assignment Method (ELVAM) based on external resources and entropy is proposed. ELVAM first constructs a Relationship Triples Cluster according to the relationship type, and randomly extracts the triples data from each cluster to form a Relationship Triples Subset; then collects the extended semantic text of the entities in the subset from the external resources to obtain nouns. Information Entropy and Conditional Entropy of the nouns are calculated through Ontology Category Hierarchy Graph, so as to obtain the entity label value with moderate granularity. Finally, the Label Triples Pattern of each Relationship Triples Cluster is summarized, and the corresponding entity is assigned the label value according to the pattern. The experimental results verify the effectiveness of ELVAM in assigning entity label values in Knowledge Graph.


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