相同但不同。自然科学与音乐专业学生抑郁的多维评估

IF 2 Q3 PSYCHOLOGY, CLINICAL
M. Korte, D. Cerci, R. Wehry, R. Timmers, V. Williamson
{"title":"相同但不同。自然科学与音乐专业学生抑郁的多维评估","authors":"M. Korte, D. Cerci, R. Wehry, R. Timmers, V. Williamson","doi":"10.1101/2023.01.10.23284333","DOIUrl":null,"url":null,"abstract":"Depression is one of the most common and debilitating health problems, however, its heterogeneity makes a diagnosis challenging. Thus far the restriction of depression variables explored within groups, the lack of comparability between groups, and the heterogeneity of depression as a concept limit a meaningful interpretation, especially in terms of predictability. Research established students in late adolescence to be particularly vulnerable, especially those with a natural science or musical study main subject. This study used a predictive design, observing the change in variables between groups as well as predicting which combinations of variables would likely determine depression prevalence. 102 under- and postgraduate students from various higher education institutions participated in an online survey. Students were allocated into three groups according to their main study subject and type of institution: natural science students, music college students and a mix of music and natural science students at university with comparable levels of musical training and professional musical identity. Natural science students showed significantly higher levels of anxiety prevalence and pain catastrophizing prevalence, while music college students showed significantly higher depression prevalence compared to the other groups. A hierarchical regression and a tree analysis found that depression for all groups was best predicted with a combination of variables: high anxiety prevalence and low burnout of students with academic staff. The use of a larger pool of depression variables and the comparison of at-risk groups provide insight into how these groups experience depression and thus allow initial steps towards personalized support structures.","PeriodicalId":51865,"journal":{"name":"Health Psychology Research","volume":"24 1","pages":"74879"},"PeriodicalIF":2.0000,"publicationDate":"2023-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The same but different. Multidimensional assessment of depression in students of natural science and music\",\"authors\":\"M. Korte, D. Cerci, R. Wehry, R. Timmers, V. Williamson\",\"doi\":\"10.1101/2023.01.10.23284333\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Depression is one of the most common and debilitating health problems, however, its heterogeneity makes a diagnosis challenging. Thus far the restriction of depression variables explored within groups, the lack of comparability between groups, and the heterogeneity of depression as a concept limit a meaningful interpretation, especially in terms of predictability. Research established students in late adolescence to be particularly vulnerable, especially those with a natural science or musical study main subject. This study used a predictive design, observing the change in variables between groups as well as predicting which combinations of variables would likely determine depression prevalence. 102 under- and postgraduate students from various higher education institutions participated in an online survey. Students were allocated into three groups according to their main study subject and type of institution: natural science students, music college students and a mix of music and natural science students at university with comparable levels of musical training and professional musical identity. Natural science students showed significantly higher levels of anxiety prevalence and pain catastrophizing prevalence, while music college students showed significantly higher depression prevalence compared to the other groups. A hierarchical regression and a tree analysis found that depression for all groups was best predicted with a combination of variables: high anxiety prevalence and low burnout of students with academic staff. The use of a larger pool of depression variables and the comparison of at-risk groups provide insight into how these groups experience depression and thus allow initial steps towards personalized support structures.\",\"PeriodicalId\":51865,\"journal\":{\"name\":\"Health Psychology Research\",\"volume\":\"24 1\",\"pages\":\"74879\"},\"PeriodicalIF\":2.0000,\"publicationDate\":\"2023-01-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Health Psychology Research\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1101/2023.01.10.23284333\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"PSYCHOLOGY, CLINICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Health Psychology Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1101/2023.01.10.23284333","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"PSYCHOLOGY, CLINICAL","Score":null,"Total":0}
引用次数: 0

摘要

抑郁症是最常见和最令人衰弱的健康问题之一,然而,它的异质性使得诊断具有挑战性。到目前为止,研究小组对抑郁症变量的限制,小组之间缺乏可比性,以及抑郁症作为一个概念的异质性限制了有意义的解释,特别是在可预测性方面。研究表明,青春期后期的学生尤其容易受到伤害,尤其是那些主修自然科学或音乐的学生。这项研究采用了预测设计,观察组间变量的变化,并预测哪些变量的组合可能决定抑郁症的患病率。来自不同高等院校的102名本科生和研究生参加了一项在线调查。学生根据他们的主要学习科目和机构类型被分为三组:自然科学专业的学生,音乐学院的学生和音乐和自然科学混合的学生,他们的音乐训练水平和专业音乐身份相当。与其他组相比,自然科学专业学生的焦虑患病率和痛苦灾难患病率显著高于音乐专业学生,而音乐专业学生的抑郁患病率显著高于其他组。分层回归和树分析发现,所有群体的抑郁症都是通过以下变量的组合来预测的:有学术人员的学生的高焦虑患病率和低倦怠。使用更大的抑郁变量池和风险群体的比较,可以深入了解这些群体是如何经历抑郁的,从而可以迈出个性化支持结构的第一步。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The same but different. Multidimensional assessment of depression in students of natural science and music
Depression is one of the most common and debilitating health problems, however, its heterogeneity makes a diagnosis challenging. Thus far the restriction of depression variables explored within groups, the lack of comparability between groups, and the heterogeneity of depression as a concept limit a meaningful interpretation, especially in terms of predictability. Research established students in late adolescence to be particularly vulnerable, especially those with a natural science or musical study main subject. This study used a predictive design, observing the change in variables between groups as well as predicting which combinations of variables would likely determine depression prevalence. 102 under- and postgraduate students from various higher education institutions participated in an online survey. Students were allocated into three groups according to their main study subject and type of institution: natural science students, music college students and a mix of music and natural science students at university with comparable levels of musical training and professional musical identity. Natural science students showed significantly higher levels of anxiety prevalence and pain catastrophizing prevalence, while music college students showed significantly higher depression prevalence compared to the other groups. A hierarchical regression and a tree analysis found that depression for all groups was best predicted with a combination of variables: high anxiety prevalence and low burnout of students with academic staff. The use of a larger pool of depression variables and the comparison of at-risk groups provide insight into how these groups experience depression and thus allow initial steps towards personalized support structures.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Health Psychology Research
Health Psychology Research PSYCHOLOGY, CLINICAL-
CiteScore
2.90
自引率
0.00%
发文量
63
审稿时长
15 weeks
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信