State and Trait Emotion Regulation Diversity in Social Anxiety.

Innovaciones Educativas Pub Date : 2023-09-01 Epub Date: 2023-02-28 DOI:10.1177/21677026231151956
Katharine E Daniel, Maria A Larrazabal, Mehdi Boukhechba, Laura Barnes, Bethany A Teachman
{"title":"State and Trait Emotion Regulation Diversity in Social Anxiety.","authors":"Katharine E Daniel, Maria A Larrazabal, Mehdi Boukhechba, Laura Barnes, Bethany A Teachman","doi":"10.1177/21677026231151956","DOIUrl":null,"url":null,"abstract":"<p><p>Emotion regulation (ER) diversity, defined as the variety, frequency, and evenness of ER strategies used, may predict social anxiety (SA) severity. In a sample of individuals with high (<i>n=</i>113) or low (<i>n</i>=42) SA severity, we tested whether four trait ER diversity metrics predicted group membership. We generalized existing trait ER diversity calculations to repeated-measures data to test if state-level metrics (using two weeks of EMA data) predicted SA severity within the higher severity group. As hypothesized (osf.io/xadyp), higher trait ER diversity within avoidance-oriented strategies predicted greater likelihood of belonging to the higher severity group. At the state-level, higher diversity across all ER strategies, and within and between avoidance- and approach-oriented strategies, predicted higher SA severity (but only after controlling for number of submitted EMAs). Only diversity within avoidance-oriented strategies was significantly correlated across trait and state levels. Findings suggest that high avoidance-oriented ER diversity may co-occur with higher SA severity.</p>","PeriodicalId":30804,"journal":{"name":"Innovaciones Educativas","volume":"22 1","pages":"894-909"},"PeriodicalIF":0.0000,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10656041/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Innovaciones Educativas","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1177/21677026231151956","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2023/2/28 0:00:00","PubModel":"Epub","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Emotion regulation (ER) diversity, defined as the variety, frequency, and evenness of ER strategies used, may predict social anxiety (SA) severity. In a sample of individuals with high (n=113) or low (n=42) SA severity, we tested whether four trait ER diversity metrics predicted group membership. We generalized existing trait ER diversity calculations to repeated-measures data to test if state-level metrics (using two weeks of EMA data) predicted SA severity within the higher severity group. As hypothesized (osf.io/xadyp), higher trait ER diversity within avoidance-oriented strategies predicted greater likelihood of belonging to the higher severity group. At the state-level, higher diversity across all ER strategies, and within and between avoidance- and approach-oriented strategies, predicted higher SA severity (but only after controlling for number of submitted EMAs). Only diversity within avoidance-oriented strategies was significantly correlated across trait and state levels. Findings suggest that high avoidance-oriented ER diversity may co-occur with higher SA severity.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
社交焦虑的状态和特质情绪调节多样性。
情绪调节(ER)多样性,定义为所使用的ER策略的多样性、频率和均匀性,可以预测社交焦虑(SA)的严重程度。在SA严重程度高(n=113)或低(n=42)的个体样本中,我们测试了四种ER多样性指标是否能预测群体成员。我们将现有的性状内质网多样性计算推广到重复测量数据,以测试州级指标(使用两周的EMA数据)是否预测了较高严重程度组中的SA严重程度。正如假设(osf.io/xadyp)所述,回避导向策略中较高的特质ER多样性预示着更大的可能性属于更严重的群体。在州一级,所有ER策略之间以及回避和方法导向策略内部和之间的多样性较高,预示着更高的SA严重程度(但仅在控制提交的ema数量之后)。只有回避导向策略的多样性在特质和状态水平上显著相关。研究结果表明,高回避型内质网多样性可能与高SA严重程度同时发生。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
43
审稿时长
7 weeks
期刊最新文献
Retroalimentación en el marco de la producción escrita: Análisis sobre las percepciones de estudiantes en el contexto escolar chileno Promoción de la Educación Física en la etapa de preescolar para el desarrollo integral de la niñez The use of TikTok to improve first year undergraduates' speaking accuracy Percepciones del personal docente acerca del uso ético de la inteligencia artificial en su labor educativa Análisis y tendencias en el uso de chatbots y agentes conversacionales en el campo de la educación: una revisión bibliométrica
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1