IF 3 3区 医学 Q2 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH Frontiers in Public Health Pub Date : 2025-02-13 eCollection Date: 2025-01-01 DOI:10.3389/fpubh.2025.1548718
Jiaqin Yang, Xiaotong Man, Chunlei Liu
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引用次数: 0

摘要

引言在 COVID-19 的背景下,人们的心理健康问题受到研究者的关注。网络分析是一种从症状层面探讨心理健康问题之间相互作用的新方法。本研究从 "社会-家庭-人格 "的视角探讨了 COVID-19 大流行期间中国居民广泛性焦虑症状的网络结构,并探讨了其与大五人格特质和感知社会支持的关系:方法:基于 PBICR 数据库,于 2021 年 7 月 10 日至 2021 年 9 月 15 日在中国大陆 120 个城市进行了多阶段随机抽样横断面调查。采用大五量表(BFI-10)、感知社会支持量表(PSSS)和广泛焦虑量表(GAD-7)进行测量。皮尔逊相关分析用于检验本研究中提到的变量,网络分析用于估计三个变量的心理病理学网络:研究共纳入了 11 031 名受试者,其中 17% 的人患有严重的广泛性焦虑症状。结果显示,三个研究变量之间存在相关性,发现大五人格特质中感知社会支持的两个维度和合意性处于网络的中心,对整个网络有显著影响。宜人性与家庭支持呈正相关,但与广泛焦虑症状呈负相关。通过性别网络测试,没有发现明显的性别差异:根据本研究,我们认为可以通过干预家庭氛围和社会交往来预防广泛性焦虑症的症状。本研究的局限性在于无法确定变量之间的因果关系,其在一般情况下的可推广性也未得到证实。今后的研究可以在本研究的基础上进一步探讨其方向性,并考虑文化因素的影响,以将其适用范围扩大到其他背景。
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A network analysis study on the relationship between generalized anxiety symptoms, big five personality and perceived social support of Chinese residents during COVID-19.

Introduction: Under the background of COVID-19, people's mental health problems are concerned by researchers. Network analysis is a new method of exploring the interactions between mental health issues at the symptom level. This study investigates the network structure of generalized anxiety symptoms among Chinese residents during the COVID-19 pandemic from the perspective of "society-family-personality," and explores its relationship with the Big Five personality traits and perceived social support.

Methods: A multi-stage random sampling cross-sectional survey was conducted in 120 cities across China Mainland from July 10, 2021 to September 15, 2021, based on the PBICR database. The Big Five Scale (BFI-10), Perceived Social Support Scale (PSSS), and Generalized Anxiety Scale (GAD-7) were used for measurement. Pearson correlation analysis was used to examine the variables mentioned in this research, and network analysis was used to estimate the psychopathological network of the three variables.

Results: A total of 11,031 subjects were included in the study, with 17% of individuals suffering from severe generalized anxiety symptoms. The results showed a correlation between the three research variables, and it was found that perceived social support in both dimensions and agreeableness of the Big Five personality traits were at the center of the network, with a significant impact on the overall network. There is a positive correlation between agreeableness and family support, but a negative correlation with generalized anxiety symptoms. Agreeableness serves as an indicator linking the other two variables; No significant gender differences were found through gender network testing.

Conclusion: According to this study, we believe that interventions in family atmosphere and social interaction can be used to prevent symptoms of generalized anxiety disorder. The limitation of this study is that it cannot determine the causal relationship between variables and its generalizability in general contexts has not been confirmed. Future research can further explore its directionality based on this study and consider the influence of cultural factors to extend its applicability to other backgrounds.

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来源期刊
Frontiers in Public Health
Frontiers in Public Health Medicine-Public Health, Environmental and Occupational Health
CiteScore
4.80
自引率
7.70%
发文量
4469
审稿时长
14 weeks
期刊介绍: Frontiers in Public Health is a multidisciplinary open-access journal which publishes rigorously peer-reviewed research and is at the forefront of disseminating and communicating scientific knowledge and impactful discoveries to researchers, academics, clinicians, policy makers and the public worldwide. The journal aims at overcoming current fragmentation in research and publication, promoting consistency in pursuing relevant scientific themes, and supporting finding dissemination and translation into practice. Frontiers in Public Health is organized into Specialty Sections that cover different areas of research in the field. Please refer to the author guidelines for details on article types and the submission process.
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