Symptom dimensions, social network, and caregiver burden in chronic schizophrenia

2000 ◽  
Vol 54 (2) ◽  
pp. 121-125
Author(s):  
Tero Taiminen, Raimo K. R. Salokang
2010 ◽  
Vol 117 (2-3) ◽  
pp. 216
Author(s):  
Lena A. Schmid ◽  
Marc M. Lässer ◽  
Christina J. Herold ◽  
Ulrich Seidl ◽  
Johannes Schröder

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 71-72
Author(s):  
Ling Xu ◽  
Yiwei Liu ◽  
Hui He ◽  
Noelle Fields ◽  
Chen Kan ◽  
...  

Abstract Objective: Using the stress-coping theory, the aims of the present study were to test what levels of caregiving intensity (hours actually spent on caregiving every day) posed the most negative influence on caregiver burden as well as how social support moderated such associations among dementia caregivers. Methods: Data from the baseline assessment of the Resources for Enhancing Alzheimer’s Caregiver Health (REACH II) (N = 637) were used. Caregiver burden (12-item Zarit caregiver burden scale), caregiving intensity (caregiving hours), and social support (Lubben social network, received support, satisfaction with support, and negative interactions) were the main measurements. Separate multivariate regression models were conducted with Stata 16. Results: The results showed that the relationships between caregiving hours and caregiver burden were nonlinear after controlling all of the socio-demographic variables. Further analyses showed that when caregiving hours reached 13.50 hours per day, the levels of burden were the highest. In addition, received social support, satisfaction with social support, and social network significantly moderated the relationship between caregiving hours and caregiver burden among dementia caregivers when they were examined separately. However, only social network played a significant moderator role when examining the four social support indicators simultaneously. Discussion and conclusion: These findings suggest the need for programs and practices on educating caregivers regarding how to identify, approach, and gain social support/s, especially in how to broaden the caregivers’ social network while caring for a family member with dementia.


2021 ◽  
Vol 53 ◽  
pp. S432-S433
Author(s):  
G.M. Giordano ◽  
A. Perrottelli ◽  
A. Mucci ◽  
G. Di Lorenzo ◽  
F. Ferrentino ◽  
...  

2018 ◽  
Vol 12 ◽  
pp. 11-19 ◽  
Author(s):  
Rose Mary Xavier ◽  
Jennifer R. Dungan ◽  
Richard S.E. Keefe ◽  
Allison Vorderstrasse

2013 ◽  
Vol 44 (2) ◽  
pp. 22
Author(s):  
ALAN ROCKOFF
Keyword(s):  

2015 ◽  
Vol 21 ◽  
pp. 301
Author(s):  
Armand Krikorian ◽  
Lily Peng ◽  
Zubair Ilyas ◽  
Joumana Chaiban

2014 ◽  
Vol 35 (3) ◽  
pp. 158-165 ◽  
Author(s):  
Christian Montag ◽  
Konrad Błaszkiewicz ◽  
Bernd Lachmann ◽  
Ionut Andone ◽  
Rayna Sariyska ◽  
...  

In the present study we link self-report-data on personality to behavior recorded on the mobile phone. This new approach from Psychoinformatics collects data from humans in everyday life. It demonstrates the fruitful collaboration between psychology and computer science, combining Big Data with psychological variables. Given the large number of variables, which can be tracked on a smartphone, the present study focuses on the traditional features of mobile phones – namely incoming and outgoing calls and SMS. We observed N = 49 participants with respect to the telephone/SMS usage via our custom developed mobile phone app for 5 weeks. Extraversion was positively associated with nearly all related telephone call variables. In particular, Extraverts directly reach out to their social network via voice calls.


2011 ◽  
Vol 32 (3) ◽  
pp. 161-169 ◽  
Author(s):  
Thomas V. Pollet ◽  
Sam G. B. Roberts ◽  
Robin I. M. Dunbar

Previous studies showed that extraversion influences social network size. However, it is unclear how extraversion affects the size of different layers of the network, and how extraversion relates to the emotional intensity of social relationships. We examined the relationships between extraversion, network size, and emotional closeness for 117 individuals. The results demonstrated that extraverts had larger networks at every layer (support clique, sympathy group, outer layer). The results were robust and were not attributable to potential confounds such as sex, though they were modest in size (raw correlations between extraversion and size of network layer, .20 < r < .23). However, extraverts were not emotionally closer to individuals in their network, even after controlling for network size. These results highlight the importance of considering not just social network size in relation to personality, but also the quality of relationships with network members.


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