• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

与社区青少年心理健康服务使用相关的跨诊断症状网络

Transdiagnostic symptom networks in relation to mental health service use in community youth.

机构信息

Division of Clinical Psychology and Epidemiology, Department of Psychology, University of Basel, Basel, Switzerland.

Novartis Institutes for Biomedical Research, Basel, Switzerland.

出版信息

Clin Psychol Psychother. 2023 Jan;30(1):119-130. doi: 10.1002/cpp.2782. Epub 2022 Sep 28.

DOI:10.1002/cpp.2782
PMID:36059253
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10087894/
Abstract

OBJECTIVE

The objective of this study is to scrutinize whether psychopathology symptom networks differ between those with and without lifetime: treatment seeking, treatment and treatment of longer duration.

METHODS

We created non-exclusive groups of subjects with versus without lifetime treatment seeking, treatment and treatment of mid-long-term duration. We estimated Ising models and carried out network comparison tests (NCTs) to compare (a) overall connectivity and (b) network structure. Furthermore, we examined node strength. We used propensity score matching (PSM) to minimize potential confounding by indication for service use.

RESULTS

Based on data from 9,172 participants, there were no statistically significant differences in overall connectivity and network structure in those with versus without lifetime: treatment seeking (p = .75 and p = .82, respectively), treatment (p = .63 and p = .49, respectively) and treatment of mid-longterm duration (p = .15 and p = .62, respectively). Notably, comparing networks with versus without service use consistently revealed higher node strength in 'obsessions' and 'aggression' and lower node strength in 'elevated mood' in all networks with service use.

CONCLUSIONS

Findings suggest that after adjusting for potential confounding by indication for service use, there was no indication of an association in overall connectivity or network structure for lifetime treatment seeking, treatment and treatment of longer duration. However, selected structurally important symptoms differed consistently in all three comparisons. Our findings highlight the potential of network analysis methods to examine treatment mechanisms and outcomes. Specifically, more granular network characteristics on the node level may complement and enrich traditional outcomes in clinical research.

摘要

目的

本研究旨在详细检查有或无终生:治疗寻求、治疗和治疗时间较长的患者的精神病理学症状网络是否存在差异。

方法

我们创建了有无终生治疗寻求、治疗和中长程治疗的非排他性受试者分组。我们估计了伊辛模型,并进行了网络比较测试(NCT),以比较(a)整体连通性和(b)网络结构。此外,我们还检查了节点强度。我们使用倾向评分匹配(PSM)来最小化服务使用的潜在混杂因素。

结果

基于 9172 名参与者的数据,在有或无终生:治疗寻求(p=0.75 和 p=0.82)、治疗(p=0.63 和 p=0.49)和中长程治疗(p=0.15 和 p=0.62)的患者中,整体连通性和网络结构均无统计学显著差异。值得注意的是,与无服务使用的网络相比,所有具有服务使用的网络中,“强迫症”和“攻击性”的节点强度更高,而“情绪升高”的节点强度更低。

结论

这些发现表明,在调整了服务使用的潜在混杂因素后,终生治疗寻求、治疗和治疗时间较长的患者的整体连通性或网络结构均无关联迹象。然而,所有三种比较中,结构上重要的症状选择均存在一致性差异。我们的研究结果强调了网络分析方法在检查治疗机制和结果方面的潜力。具体来说,节点层面上更精细的网络特征可能会补充和丰富临床研究中的传统结果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/75ec/10087894/315f83ad0d2b/CPP-30-119-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/75ec/10087894/4b00d9d8c9d5/CPP-30-119-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/75ec/10087894/315f83ad0d2b/CPP-30-119-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/75ec/10087894/4b00d9d8c9d5/CPP-30-119-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/75ec/10087894/315f83ad0d2b/CPP-30-119-g002.jpg

相似文献

1
Transdiagnostic symptom networks in relation to mental health service use in community youth.与社区青少年心理健康服务使用相关的跨诊断症状网络
Clin Psychol Psychother. 2023 Jan;30(1):119-130. doi: 10.1002/cpp.2782. Epub 2022 Sep 28.
2
Disorder agnostic network structure of psychopathology symptoms in youth.青年精神病理学症状的无偏网络结构。
J Psychiatr Res. 2021 Nov;143:246-253. doi: 10.1016/j.jpsychires.2021.09.026. Epub 2021 Sep 6.
3
Right care, first time: a highly personalised and measurement-based care model to manage youth mental health.精准医疗,首次就诊:高度个性化和基于评估的青少年心理健康管理医疗模式。
Med J Aust. 2019 Nov;211 Suppl 9:S3-S46. doi: 10.5694/mja2.50383.
4
Multimorbidity networks of mental disorder symptom domains across psychopathology severity levels in community youth.社区青少年精神病理学严重程度不同的精神障碍症状领域的共病网络。
J Psychiatr Res. 2021 Sep;141:267-275. doi: 10.1016/j.jpsychires.2021.07.010. Epub 2021 Jul 7.
5
Depressive Symptom Network Associated With Comorbid Anxiety in Late-Life Depression.老年抑郁症中共病焦虑相关的抑郁症状网络
Front Psychiatry. 2019 Nov 20;10:856. doi: 10.3389/fpsyt.2019.00856. eCollection 2019.
6
Letter to the Editor: CONVERGENCES AND DIVERGENCES IN THE ICD-11 VS. DSM-5 CLASSIFICATION OF MOOD DISORDERS.给编辑的信:《ICD-11 与 DSM-5 心境障碍分类的趋同与分歧》
Turk Psikiyatri Derg. 2021;32(4):293-295. doi: 10.5080/u26899.
7
A network analysis investigation of the cognitive-behavioral theory of eating disorders.网络分析对进食障碍的认知-行为理论的研究。
Behav Res Ther. 2017 Oct;97:213-221. doi: 10.1016/j.brat.2017.08.004. Epub 2017 Aug 7.
8
Using network analysis to compare diagnosis-specific and age-specific symptom networks in eating disorders.运用网络分析比较进食障碍中特定诊断和特定年龄的症状网络。
Int J Eat Disord. 2021 Aug;54(8):1463-1476. doi: 10.1002/eat.23523. Epub 2021 May 5.
9
Dynamic symptom networks across different at-risk stages for psychosis: An individual and transdiagnostic perspective.不同精神病风险阶段的动态症状网络:个体和跨诊断视角。
Schizophr Res. 2022 Jan;239:95-102. doi: 10.1016/j.schres.2021.11.018. Epub 2021 Dec 3.
10
Psychopathology as a predictor of medical service utilization for youth in residential treatment.精神病理学作为住院治疗中青年医疗服务利用情况的预测指标。
J Behav Health Serv Res. 2013 Jan;40(1):36-45. doi: 10.1007/s11414-012-9301-3.

本文引用的文献

1
Comparing network structures on three aspects: A permutation test.比较网络结构的三个方面:置换检验。
Psychol Methods. 2023 Dec;28(6):1273-1285. doi: 10.1037/met0000476. Epub 2022 Apr 11.
2
Psychopathological networks: Theory, methods and practice.精神病理学网络:理论、方法与实践。
Behav Res Ther. 2022 Feb;149:104011. doi: 10.1016/j.brat.2021.104011. Epub 2021 Dec 1.
3
On the transience or stability of subthreshold psychopathology.阈下精神病理学的短暂性或稳定性。
Sci Rep. 2021 Dec 2;11(1):23306. doi: 10.1038/s41598-021-02711-3.
4
A Narrative Review of Network Studies in Depression: What Different Methodological Approaches Tell Us About Depression.抑郁症网络研究的叙述性综述:不同方法学途径对抑郁症的启示
Front Psychiatry. 2021 Oct 28;12:719490. doi: 10.3389/fpsyt.2021.719490. eCollection 2021.
5
Multimorbidity networks of mental disorder symptom domains across psychopathology severity levels in community youth.社区青少年精神病理学严重程度不同的精神障碍症状领域的共病网络。
J Psychiatr Res. 2021 Sep;141:267-275. doi: 10.1016/j.jpsychires.2021.07.010. Epub 2021 Jul 7.
6
The current status of temporal network analysis for clinical science: Considerations as the paradigm shifts?时间网络分析在临床科学中的现状:范式转变的思考?
J Clin Psychol. 2020 Sep;76(9):1591-1612. doi: 10.1002/jclp.22957. Epub 2020 May 9.
7
Specificity of psychopathology across levels of severity: a transdiagnostic network analysis.特定精神病理学在严重程度上的特异性:一种跨诊断网络分析。
Sci Rep. 2019 Dec 4;9(1):18298. doi: 10.1038/s41598-019-54801-y.
8
What do centrality measures measure in psychological networks?中心度测度在心理网络中衡量什么?
J Abnorm Psychol. 2019 Nov;128(8):892-903. doi: 10.1037/abn0000446. Epub 2019 Jul 18.
9
Outcome measurement in mental health services: insights from symptom networks.心理健康服务中的结果测量:症状网络的启示。
BMC Psychiatry. 2019 Jun 28;19(1):202. doi: 10.1186/s12888-019-2175-7.
10
Structure and Connectivity of Depressive Symptom Networks Corresponding to Early Treatment Response.与早期治疗反应相关的抑郁症状网络的结构与连通性
EClinicalMedicine. 2019 Mar 14;8:29-36. doi: 10.1016/j.eclinm.2019.02.009. eCollection 2019 Feb.