Disentangling the relationships between interpersonal competence, social network, social support and the experience of being stigmatized among people with psychotic disorders: A path modeling approach

2021 ◽  
Vol 228 ◽  
pp. 305-310
Author(s):  
Piotr Świtaj ◽  
Paweł Grygiel ◽  
Anna Chrostek ◽  
Marta Anczewska
Keyword(s):  
Social Support ◽  
Social Network ◽  
Psychotic Disorders ◽  
Interpersonal Competence ◽  
Path Modeling ◽  
Modeling Approach

Social networks and service utilisation in patients with severe mental illness

1997 ◽  
Vol 6 (S1) ◽  
pp. 113-125 ◽  
Author(s):  
Thomas Becker ◽  
Maya Albert ◽  
Matthias C. Angermeyer ◽  
Graham Thornicroft
Keyword(s):  
Social Support ◽  
Social Networks ◽  
Mental Illness ◽  
Social Network ◽  
Severe Mental Illness ◽  
Small Group ◽  
Psychotic Disorders ◽  
Service Utilisation ◽  
Family Roles ◽  
Social Anthropology

In a seminal study, Elizabeth Bott (1957) investigated relationships between family roles and social networks in a small group of families in London. The author was an anthropologist, and the field of social network research, in psychiatry, has received major input from methods of social anthropology. Tolsdorf (1976) investigated social networks of patients with schizophrenia. Since then, many studies have focused different aspects of social networks and social support in patients with psychotic disorders.

Social Network and Perceived Social Support Tool

2019 ◽  
Author(s):  
Jiedi Lei ◽  
Chris Ashwin ◽  
Mark Brosnan ◽  
Ailsa Russell
Keyword(s):  
Social Support ◽  
Social Network ◽  
Perceived Social Support ◽  
Support Tool

Social Networks and Business Performance of Igbo Migrant Traders in Ibadan, South-West Nigeria

2014 ◽  
Vol 12 (2) ◽  
Author(s):  
Deborah O. Obor ◽  
Emeka E. Okafor
Keyword(s):  
Social Support ◽  
Social Networks ◽  
Social Network ◽  
Social Exchange ◽  
Business Performance ◽  
Exploratory Research ◽  
Business Growth ◽  
South West ◽  
Key Informant ◽  
Depth Interviews

This study focused on social networks and business performance among Igbo businessmen in Ibadan, South-west Nigeria through the exploratory research design. Social exchange, social network and social capital theories were employed as theoretical framework. Twenty-six in-depth interviews, key informant interviews and case studies were conducted with purposively selected respondents in four business locations in Ibadan. The results showed that among the factors that facilitated migration of the Igbo to Ibadan were their interest to learn a trade, their inability to attain higher education, and having a relative in Ibadan. The types of social networks available showed that social network was not location bound, as all the respondents belonged to town progressive unions and mutual benefits/cooperative associations. Social networks played vital roles in business performance, including social support, access to loan, business growth and expansion. The main challenges to maintaining adequate social network in business were distrust, envy, unbridled competition, dishonesty and inability to keep terms of agreement. The study concludes that social networks have positively influenced the business performance of migrant Igbo in Ibadan. There is need for the Igbo to strengthen their social networks through honesty, forthrightness, and transparency in all their dealings.

scholarly journals Influence of the Source of Social Support and Size of Social Network on All-Cause Mortality

2015 ◽  
Vol 90 (7) ◽  
pp. 895-902 ◽  
Author(s):  
Katie M. Becofsky ◽  
Robin P. Shook ◽  
Xuemei Sui ◽  
Sara Wilcox ◽  
Carl J. Lavie ◽  
...  
Keyword(s):  
Social Support ◽  
Social Network ◽  
All Cause Mortality

scholarly journals A randomized wait-list controlled trial of a social support intervention for caregivers of patients with primary malignant brain tumor

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Maija Reblin ◽  
Dana Ketcher ◽  
Rachael McCormick ◽  
Veronica Barrios-Monroy ◽  
Steven K. Sutton ◽  
...  
Keyword(s):  
Social Support ◽  
Social Network ◽  
Controlled Trial ◽  
Well Being ◽  
Wait List ◽  
Web Based ◽  
Caregiver Support ◽  
Support Intervention ◽  
Link Type ◽  
Prospective Longitudinal

Abstract Background Informal family caregivers constitute an important and increasingly demanding role in the cancer healthcare system. This is especially true for caregivers of patients with primary malignant brain tumors based on the rapid progression of disease, including physical and cognitive debilitation. Informal social network resources such as friends and family can provide social support to caregivers, which lowers caregiver burden and improves overall quality of life. However, barriers to obtaining needed social support exist for caregivers. To address this need, our team developed and is assessing a multi-component caregiver support intervention that uses a blend of technology and personal contact to improve caregiver social support. Methods We are currently conducting a prospective, longitudinal 2-group randomized controlled trial which compares caregivers who receive the intervention to a wait-list control group. Only caregivers directly receive the intervention, but the patient-caregiver dyads are enrolled so we can assess outcomes in both. The 8-week intervention consists of two components: (1) The electronic Social Network Assessment Program, a web-based tool to visualize existing social support resources and provide a tailored list of additional resources; and (2) Caregiver Navigation, including weekly phone sessions with a Caregiver Navigator to address caregiver social support needs. Outcomes are assessed by questionnaires completed by the caregiver (baseline, 4-week, 8-week) and the cancer patient (baseline, and 8-week). At 8 weeks, caregivers in the wait-list condition may opt into the intervention. Our primary outcome is caregiver well-being; we also explore patient well-being and caregiver and patient health care utilization. Discussion This protocol describes a study testing a novel social support intervention that pairs a web-based social network visualization tool and resource list (eSNAP) with personalized caregiver navigation. This intervention is responsive to a family-centered model of care and calls for clinical and research priorities focused on informal caregiving research. Trial registration clinicaltrials.gov, Registration number: NCT04268979; Date of registration: February 10, 2020, retrospectively registered.

scholarly journals Social networks and type 2 diabetes: a narrative review

Diabetologia ◽  
2021 ◽  
Author(s):  
Miranda T. Schram ◽  
Willem J. J. Assendelft ◽  
Theo G. van Tilburg ◽  
Nicole H. T. M. Dukers-Muijrers
Keyword(s):  
Social Support ◽  
Type 2 Diabetes ◽  
Social Networks ◽  
Social Network ◽  
Narrative Review ◽  
Current Evidence ◽  
Favourable Effect ◽  
Effective Prevention ◽  
Network Variable

AbstractIt has been known for decades that social networks are causally related to disease and mortality risk. However, this field of research and its potential for implementation into diabetes care is still in its infancy. In this narrative review, we aim to address the state-of-the-art of social network research in type 2 diabetes prevention and care. Despite the diverse nature and heterogeneity of social network assessments, we can draw valuable lessons from the available studies. First, the structural network variable ‘living alone’ and the functional network variable ‘lack of social support’ have been associated with increased type 2 diabetes risk. The latter association may be modified by lifestyle risk factors, such as obesity, low level of physical activity and unhealthy diet. Second, smaller network size and less social support is associated with increased risk of diabetes complications, particularly chronic kidney disease and CHD. Third, current evidence shows a beneficial impact of social support on diabetes self-management. In addition, social support interventions were found to have a small, favourable effect on HbA1c values in the short-term. However, harmonisation and more detailed assessment of social network measurements are needed to utilise social network characteristics for more effective prevention and disease management in type 2 diabetes. Graphical abstract

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