Attitudes about the use of internet support groups and the impact among parents of children with Cornelia de Lange syndrome

2016 ◽  
Vol 172 (2) ◽  
pp. 229-236 ◽  
Author(s):  
Cara N. Cacioppo ◽  
Laura J. Conway ◽  
Devanshi Mehta ◽  
Ian D. Krantz ◽  
Sarah E. Noon
Keyword(s):  
Support Groups ◽  
Cornelia De Lange Syndrome ◽  
Internet Support ◽  
Internet Support Groups ◽  
Cornelia De Lange ◽  
Use Of Internet ◽  
The Impact

The influence of health beliefs and social stigma on choice of internet support groups over formal mental health services

2011 ◽  
Vol 26 (S2) ◽  
pp. 1332-1332 ◽  
Author(s):  
L. Townsend ◽  
R. Gearing
Keyword(s):  
Mental Health ◽  
Mental Health Services ◽  
Health Services ◽  
Health Beliefs ◽  
Support Groups ◽  
Mental Health Treatment ◽  
Formal Treatment ◽  
Internet Support ◽  
Internet Support Groups ◽  
Use Of Internet

IntroductionThe relationship between health beliefs regarding formal mental health services, practical variables (time, affordability, transportation), stigma, and use of internet support groups in lieu of formal treatment has received little empirical attention.ObjectivesThe study examines the relationship between health beliefs, practical variables, stigma, and engagement in internet support groups among adults.AimsThe study addresses whether beliefs regarding formal mental health services, having the time, finances, and transportation to use them, and the social consequences of being identified as having a mental health problem influence the use of internet support groups.MethodsData were analyzed from 2,532 respondents who endorsed perceiving the need for but not receiving formal mental health treatment in the National Survey on Drug Use and Health (2008). Binary logistic regression was used to examine the relationships between health beliefs, practical variables, stigma, and the use of internet support groups.ResultsThe strongest positive predictors of internet support group use were fear of being hospitalized/taking medications (AOR = 8.252, CI = 8.170–8.334), lack of transportation (AOR = 2.313, CI = 2.271–2.357), and insufficient insurance coverage (AOR = 2.640, CI = 2.610–2.670). The strongest negative predictors of internet support group use were lack of belief in the efficacy of formal treatment (AOR = .629, CI = .618–.641), fearing that others would find out (AOR = .660, CI = .645–.675), and not thinking formal treatment was needed at the time (AOR = .681, CI = .665–.696).ConclusionsUsing the internet for relief from mental health symptoms has proliferated, yet has received little empirical attention. Research is needed to examine the implications of using internet technology rather than formal mental health treatment.

The Impact of Group Composition on Internet Support Groups: Homogeneous Versus Heterogeneous Parkinson's Groups.

2005 ◽  
Vol 9 (4) ◽  
pp. 239-250 ◽  
Author(s):  
Morton A. Lieberman ◽  
Andrew Wizlenberg ◽  
Mitch Golant ◽  
Mariann Di Minno
Keyword(s):  
Support Groups ◽  
Group Composition ◽  
Internet Support ◽  
Internet Support Groups ◽  
The Impact

Investigation of the effects of gender and preparation on quality of communication in Internet support groups

2003 ◽  
Vol 19 (3) ◽  
pp. 259-275 ◽  
Author(s):  
Jason E Owen ◽  
Eric J Yarbrough ◽  
Anete Vaga ◽  
Diane C Tucker
Keyword(s):  
Support Groups ◽  
Internet Support ◽  
Internet Support Groups

The Virtual Community: Helping Patients Use Internet Support Groups

2000 ◽  
Vol 18 (5) ◽  
pp. 333-335 ◽  
Author(s):  
SHARON DEZZANI MARTIN ◽  
KATHLEEN BERRY YOUNGREN
Keyword(s):  
Support Groups ◽  
Virtual Community ◽  
Internet Support ◽  
Internet Support Groups

scholarly journals Cornelia de Lange Syndrome-associated mutations in Smc1 cause both sister chromatid cohesion and cohesion-independent defects

2018 ◽  
Author(s):  
Jingrong Chen ◽  
Frank Wu ◽  
Dean Dawson ◽  
Susannah Rankin
Keyword(s):  
Chromosome Segregation ◽  
Developmental Disorders ◽  
Cell Cycle Progression ◽  
Budding Yeast ◽  
Critical Role ◽  
Cornelia De Lange Syndrome ◽  
Chromosome Loss ◽  
Genes Encoding ◽  
Cornelia De Lange ◽  
The Impact

AbstractCornelia de Lange Syndrome is a pervasive developmental disorder characterized by limb truncations, craniofacial abnormalities, and cognitive delays. This syndrome is a member of a class of developmental disorders referred to as cohesinopathies, which result from mutations in the genes encoding subunits or regulators of the cohesin complex. The phenotypic consequences of these mutations may reflect the critical role that cohesin plays in chromosome structure, its ability to tether sister chromatids together during cell cycle progression, or some combination of both. Here we show that a sensitized assay for chromosome loss in budding yeast can be used to assess the impact of Cornelia de Lange syndrome (CdLS)-associated mutations in the core cohesin subunit Smc1 on cohesin function. We find that the CdLS-associated mutations can be grouped into two classes based on their impact on chromosome segregation. One class of mutations includes those that are defective in promoting accurate chromosome segregation, some no better than the null allele. Another class promotes both accurate chromosome cohesion and segregation. Strikingly, the mutations that have no impact chromosome dynamics in this assay are clustered near each other in the context of the folded SMC1 protein suggesting a previously uncharacterized region of functional importance in higher eukaryotes. This analysis illustrates how budding yeast can be used to elucidate mechanisms important in human health and development.

Peer Counseling Behaviors

2012 ◽  
pp. 714-721 ◽  
Author(s):  
Ruben Fukkink
Keyword(s):  
Support Groups ◽  
Peer Counseling ◽  
Online Support ◽  
Informational Support ◽  
Network Support ◽  
Self Help ◽  
Content Analyses ◽  
Internet Support ◽  
Online Setting ◽  
Internet Support Groups

Peers have been supporting one another in a range of internet support groups since the 1980s. A unique feature is the shared social identity among peers, which creates a feeling of solidarity. Three types of online setting can be identified: self-help support groups with similar peers and symmetrical communicative roles; moderated support groups with similar peers and asymmetrical roles; and support groups, which do not share similar experiences, and have asymmetrical roles. Content analyses of these different types of online support have shown that peers offer one another emotional support, esteem support, informational support, and network support. Future studies are needed to generate a greater understanding of the dynamics of peer support and the differences in peer counseling behaviors between the various members of Internet support groups.

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