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在线社交支持的任务与关系维度

The Task and Relational Dimensions of Online Social Support.

作者信息

Beck Stephenson J, Paskewitz Emily A, Anderson Whitney A, Bourdeaux Renee, Currie-Mueller Jenna

机构信息

a Department of Communication , North Dakota State University.

b School of Communication Studies , University of Tennessee.

出版信息

Health Commun. 2017 Mar;32(3):347-355. doi: 10.1080/10410236.2016.1138383. Epub 2016 Jun 6.

Abstract

Online support groups are attractive to individuals suffering from various types of mental and physical illness due to their accessibility, convenience, and comfort level. Individuals coping with depression, in particular, may seek social support online to avoid the stigma that accompanies face-to-face support groups. We explored how task and relational messages created social support in online depression support groups using Cutrona and Suhr's social support coding scheme and Bales's Interaction Process Analysis coding scheme. A content analysis revealed emotional support as the most common type of social support within the group, although the majority of messages were task rather than relational. Informational support consisted primarily of task messages, whereas network and esteem support were primarily relational messages. Specific types of task and relational messages were associated with different support types. Results indicate task messages dominated online depression support groups, suggesting the individuals who participate in these groups are interested in solving problems but may also experience emotional support when their uncertainty is reduced via task messages.

摘要

在线支持小组因其可及性、便利性和舒适度,对患有各种身心疾病的个人具有吸引力。特别是那些应对抑郁症的人,可能会在网上寻求社会支持,以避免面对面支持小组所伴随的污名化。我们使用卡特罗纳和苏尔的社会支持编码方案以及贝尔斯的互动过程分析编码方案,探讨了任务型和关系型信息如何在在线抑郁症支持小组中创造社会支持。内容分析表明,情感支持是小组内最常见的社会支持类型,尽管大多数信息是任务型而非关系型。信息支持主要由任务型信息组成,而网络支持和自尊支持主要是关系型信息。特定类型的任务型和关系型信息与不同的支持类型相关。结果表明任务型信息在在线抑郁症支持小组中占主导地位,这表明参与这些小组的人对解决问题感兴趣,但当他们的不确定性通过任务型信息得以减少时,也可能会体验到情感支持。

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