健康与遗传心理学研究室知识库

焦虑症状与强迫症状在大学生群体中呈现高度共病的特征，显著影响个体生活质量及社会功能。过往的研究集中于探究各类心理学变量与疾病总体严重程度之间的关系，而忽略了特定的变量维度与特定症状之间的重要且独特的微观关系。本研究创新性地引入心理病理网络分析框架，采用横断面设计通过两阶段研究揭示症状网络特征及干预效应，旨在从症状层面解析焦虑与强迫的动态关联机制，并探讨认知情绪调节策略对症状网络的调控作用。

研究一（N=6557）深入分析了大学生焦虑和强迫网络中的核心症状及桥症状，以及特定症状变化对网络整体的影响。在本研究中，焦虑症状和强迫症状的 检出率分别达到了 29.9%和 53.5%。使用 R studio 编写伊辛模型（Ising Model），构建焦虑-强迫症状网络，通过中心性指标预期影响（expected influence，EI）和桥预期影响（bridge expected influence，BEI）识别出“强迫思维”（EI=7.37）、“不 能控制的担忧”（EI=6.34）与“精神中和”（EI=6.19）为核心症状，并发现“强 迫思维”（BEI=11.26）、“囤积”（BEI=8.78）与“不祥预感”（BEI=6.93）作为桥接两类症状的关键节点。网络干预模拟可视化结果图显示，降低“紧张”症状可 最大程度缓解整体网络激活，而增强“不能控制的担忧”则显著加剧症状网络激 活；即表明“紧张”是大学生焦虑和强迫的治疗靶点，“不能控制的担忧”则是 预防靶点。

研究二以研究一为基础，引入认知情绪调节变量构建多维网络，研究数据来源和分析方法同研究一。使用认知情绪调节量表分别测量出消极和积极两个维度，共九种不同（其中四种为消极策略，五种为积极策略）的认知情绪调节策略。数据分析结果显示，“灾难化”（BEI=13.47）、“反刍”（BEI=10.23）和“自我责 难”（BEI=6.45）是与症状连接最为紧密的三个节点；这些适应不良调节策略与症状存在特异性关联：“灾难化”策略与“不祥预感”（β=0.61）、“反刍”策略与 “不能控制的担忧”（β=0.36）呈现强连接。网络模拟干预则进一步验证了“紧 张”仍为最优治疗靶点，而“不祥预感”成为关键预防靶点

本研究从症状的微观层面出发，创新性地揭示：（1）焦虑-强迫症状网络的核心症状为“强迫思维”、“不能控制的担忧”和“精神中和”，；（2）适应不良认 知情绪调节策略通过增强桥症状连接影响症状网络整体；（3）确立“紧张”为大 学生焦虑和强迫症状的优先干预靶点，“不能控制的担忧”和“不祥预感”为关键预防指标。研究结果为发展基于网络理论的精准化干预方案提供了实证依据，对优化校园心理健康服务体系具有重要实践价值。

Anxiety symptoms and obsessive - compulsive symptoms are highly comorbid in college students, significantly affecting individual quality of life and social functioning. Previous research has focused on exploring the relationship between various psychological variables and the overall severity of the disease, while neglecting the important and unique micro - level relationships between specific variable dimensions and specific symptoms. This study innovatively introduced the psychopathological network analysis framework and used a cross - sectional design to reveal the symptom network characteristics and intervention effects through a two - stage study, aiming to parse the dynamic association mechanism between anxiety and obsession at the symptom level and explore the regulatory effect of cognitive emotion regulation strategies on the symptom network.

Study one (N = 6557) in - depth analyzed the core symptoms and bridge symptoms in the anxiety and obsession network of college students, as well as the impact of specific symptom changes on the overall network. In this study, the detection rates of anxiety symptoms and obsessive - compulsive symptoms reached 29.9% and 53.5%, respectively. The Ising Model was constructed using R studio to build the anxiety - obsession symptom network. Through centrality indicators of expected influence (EI) and bridge expected influence (BEI), "obsessive thoughts" (EI = 7.37), "uncontrollable worry" (EI = 6.34) and "mental neutralization" (EI = 6.19) were identified as core symptoms. It was also found that "obsessive thoughts" (BEI = 11.26), "hoarding" (BEI = 8.78) and "sense of foreboding" (BEI = 6.93) were key nodes bridging the two types of symptoms. The network intervention simulation visualization results showed that reducing the "tension" symptom could most effectively alleviate the overall network activation, while enhancing "uncontrollable worry" significantly intensified the symptom network activation. This indicates that "tension" is a treatment target for anxiety and obsession in college students, and "uncontrollable worry" is a prevention target.

Study two, based on study one, introduced the cognitive emotion regulation variable to construct a multi - dimensional network, with the same research data sources and analysis methods as study one. The Cognitive Emotion Regulation Questionnaire (CERQ) was administered to measure cognitive emotion regulation strategies, differentiating between negative (4 subtypes) and positive (5 subtypes) dimensions of emotion regulation. The data analysis results showed that "catastrophizing" (BEI = 13.47), "rumination" (BEI = 10.23) and "self - blame" (BEI = 6.45) were the three nodes most closely connected with symptoms. These maladaptive regulation strategies had specific associations with symptoms: the "catastrophizing" strategy was strongly connected with "sense of foreboding" (β = 0.61), and the "rumination" strategy was strongly connected with "uncontrollable worry" (β = 0.36). The network simulation intervention further verified that "tension" remained the optimal treatment target, and "sense of foreboding" became a key prevention target.

This study started from the micro - level of symptoms and innovatively revealed the following: (1) The core symptoms of the anxiety - obsession symptom network are "obsessive thoughts", "uncontrollable worry" and "mental neutralization"; (2) Maladaptive cognitive emotion regulation strategies affect the overall symptom network by enhancing the connection of bridge symptoms; (3) "Tension" is established as the priority intervention target for anxiety and obsession symptoms in college students, and "uncontrollable worry" and "sense of foreboding" are key prevention indicators. The research results provide empirical evidence for the development of precision intervention plans based on network theory and have important practical value for optimizing campus mental health service systems.