Network structure of PTSD symptoms in Chinese male firefighters

Yuan, Huiling; Ren, Lei; Ma, Zhengliang; Li, Fengzhan; Li, Jianjun; Jin, Young–Joo; Chen, Chen; Li, Xiao; Wu, Zhongying; Cheng, Sizhe; Song, Lei; Wang, Chaoxian; Liu, Xufeng; Yang, Qun

doi:10.1016/j.ajp.2022.103062

Cited by 15 publications

(6 citation statements)

References 44 publications

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“…The strongest edge was between “Less communication” and “Isolated from others,” which is within the behavioral changes dimension. This finding is consistent with a previous study that showed the strongest edge in the network was within each PTSD dimension (e.g., there was a strong edge between “avoidance of thoughts” and “avoidance of reminders” within the avoidance and numbing dimension) ( 27 ). The results also revealed a close association between reduced communication and being isolated from others, consistent with the findings of previous studies indicating that communication plays an important role in alleviating social isolation ( 58 , 59 ).…”

Section: Discussionsupporting

confidence: 92%

“…For example, the Acute Stress Reaction Scale (ASRS)—developed to timely assess ASR in Chinese subjects—includes many symptoms such as nightmares, disorientation, hypoprosexia, anxiety, and somatic or psychiatric symptoms ( 2 ). The network perspective on psychopathology understands ASR as a network composed of these interacting symptoms, similar to other publications which have investigated mental disorders, such as PTSD ( 27 ), compulsive sexual behavior disorder ( 28 ), and problematic smartphone use ( 29 ), as networks of interacting symptoms. This approach addresses the problems of previous studies that have commonly measured ASR using simple summing scores from a single-ensemble perspective, an approach that ignores potential interactions between individual symptoms and masks the heterogeneity and the degree of importance of specific symptoms ( 30–32 ).…”

Section: Introductionmentioning

confidence: 80%

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Network analysis of acute stress reaction in a sample of Chinese male military college students

et al. 2023

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BackgroundAcute stress reaction (ASR) following a stressful event is associated with stress-related mental disorders. However, no studies have investigated the relationships between ASR symptom clusters. The present study aimed to provide a fine-grained understanding of the complex relationships among symptom clusters and identify the central symptom clusters of ASR using network analysis.MethodsThe Acute Stress Reaction Scale (ASRS) was used to investigate the network structure of ASR in 1792 Chinese male military college students who were about to participate in an important physical fitness test. We calculated the weights of the edges connecting different symptom clusters and the central indices of 25 symptom clusters in the final network.ResultsThere were five strongest edges with significantly higher weights than most other edge weights, including the edges between “Less communication” and “Isolated from others.” The symptom clusters of “Somatic symptoms,” “Hypoprosexia,” and “Anxiety” were found to be the central nodes with the highest expected influences (primary centrality index).ConclusionThe present study explored the network structure of ASR, revealed complex connections between symptom clusters, and identified central clusters. These findings have important clinical implications, and it is suggested that the three central symptom clusters may be potential targets for effective interventions for ASR.

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Section: Discussionsupporting

confidence: 92%

Section: Introductionmentioning

confidence: 80%

Network analysis of acute stress reaction in a sample of Chinese male military college students

et al. 2023

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“…In our study, “sleep” and “despair” played the most important roles in the activation and maintenance of the network of suicidal ideation, psychache, and meaning in life, and hence, interventions targeting these two dimensions may effectively attenuate suicidal ideation and psychache. Similarly, bridge nodes are critical for the co-occurrence of psychopathological constructs and facilitate the impacts of one construct on others; therefore, bridge nodes are also considered targets for prevention and intervention [ 40 , 44 , 45 , 47 , 75 ]. In our study, “presence of meaning in life” and “psychache” were both identified as crucial bridge nodes for developing and maintaining suicidal ideation, indicating they might be promising targets for intervention.…”

Section: Discussionmentioning

confidence: 99%

An investigation of the relationships between suicidal ideation, psychache, and meaning in life using network analysis

Guo

Tian

et al. 2023

BMC Psychiatry

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Background Previous studies have investigated the relationships between psychache or meaning in life and suicidal ideation based on sum score of corresponding scale. However, this practice has hampered the fine-grained understanding of their relationships. This network analysis study aimed to conduct a dimension-level analysis of these constructs and the relationships among them in a joint framework, and identify potential intervention targets to address suicidal ideation. Methods Suicidal ideation, psychache, and meaning in life were measured using self-rating scales among 738 adults. A network of suicidal ideation, psychache, and meaning in life was constructed to investigate the connections between dimensions and calculate the expected influence and bridge expected influence of each node. Results “Psychache” was positively linked to “sleep” and “despair”, while “presence of meaning in life” had negative associations with “psychache”, “despair”, and “pessimism”. The most important central nodes were “sleep” and “despair”, and the critical bridge nodes were “presence of meaning in life” and “psychache”. Conclusion These preliminary findings uncover the pathological pathways underlying the relationships between psychache, meaning in life, and suicidal ideation. The central nodes and bridge nodes identified may be potential targets for effectively preventing and intervening against the development and maintenance of suicidal ideation.

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“…This study was cross-sectional and conducted in China from 27 April 2022 to 16 May 2022. The current study used an online survey hosted on the Wenjuanxing platform ( www.wjx.cn ), which has been used successfully in previous studies ( 24 , 69 ). The first part of the survey included the anonymity statement and informed consent form.…”

Section: Methodsmentioning

confidence: 99%

The roles of behavioral inhibition/activation systems and impulsivity in problematic smartphone use: A network analysis

Guo

Yang

et al. 2022

Front. Public Health

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BackgroundBehavioral inhibition/activation systems (BIS/BAS) and impulsivity are associated with problematic smartphone use (PSU). However, no studies to date have explored how the subdomains of BIS/BAS and the dimensions of impulsivity relate to the components of PSU in a joint framework. This study aimed to examine the relationships between the three constructs at a fine-grained level and identify the central nodes and bridge nodes of their relationships using network analysis.MethodsA regularized partial correlation network of PSU, BIS/BAS, and impulsivity communities was estimated to investigate the connections between variables and determine the expected influence and bridge expected influence for each variable based on data from 325 Chinese adults. PSU, BIS/BAS, and impulsivity were assessed using the Smartphone Application-Based Addiction Scale (SABAS), BIS/BAS scales, and Barratt Impulsiveness Scale-Version 11 (BIS-11), respectively.ResultsIn addition to connections within each community, network analysis revealed that there were connections between different communities, especially connections to PSU. I2 “motor impulsivity” was strongly associated with PSU2 “conflict” and PSU6 “relapse”; BASR “BAS-reward responsiveness” was strongly associated with PSU5 “withdrawal.” Nodes BASR “BAS-reward responsiveness” and PSU6 “relapse” were the most central variables, while nodes BASR “BAS-reward responsiveness” and I2 “motor impulsivity” were the strongest bridge variables.ConclusionThe connections between the subdomains of BIS/BAS and the components of PSU and between the dimensions of impulsivity and the components of PSU may be particularly important in the development and maintenance of PSU. The central variables identified here, along with the bridge variables, could be promising and effective targets for the prevention and intervention of PSU.

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Network structure of PTSD symptoms in Chinese male firefighters

Cited by 15 publications

References 44 publications

Network analysis of acute stress reaction in a sample of Chinese male military college students

Network analysis of acute stress reaction in a sample of Chinese male military college students

An investigation of the relationships between suicidal ideation, psychache, and meaning in life using network analysis

The roles of behavioral inhibition/activation systems and impulsivity in problematic smartphone use: A network analysis

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