Feelings of worthlessness links depressive symptoms and parental stress: A network analysis during the COVID-19 pandemic

Skjerdingstad, Nora; Johnson, Miriam S.; Johnson, Sverre Urnes; Hoffart, Asle; Ebrahimi, Omid V.

doi:10.1192/j.eurpsy.2021.2223

Cited by 27 publications

(17 citation statements)

References 59 publications

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“…In the current study, bridge nodes connecting dimensions of impulsivity and components of Internet-related addiction (i.e., SMA and PSU) were identified using BEI, and are crucial to understanding the development and maintenance of co-occurring psychological difficulties. They are also promising targets for prevention and intervention ( 70 – 72 , 77 , 88 ). In the SMA-Impulsivity network, the node “motor impulsivity” had the highest BEI.…”

Section: Discussionmentioning

confidence: 99%

“…It is a novel data-driven approach to estimating and visualizing the complex interrelations and structures of individual symptoms ( 60 , 66 ), or non-symptom factors that may contribute to the development and maintenance of disorders, such as biological variables, cognitive process, behaviors, and different personality traits ( 67 , 68 ). In the network theory of psychopathology, the variables dynamically interact with each other and mutually reinforce to produce a complex network, thus causing psychiatric disorders ( 69 , 70 ). In the network, the various variables (i.e., symptoms, cognitive processes, and traits) are regarded as nodes; the relations (e.g., partial correlations) between observed variables are represented by node-node interactions (defined as edges) ( 69 , 71 ).…”

Section: Introductionmentioning

confidence: 99%

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Applying network analysis to understand the relationships between impulsivity and social media addiction and between impulsivity and problematic smartphone use

et al. 2022

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BackgroundPrior studies have revealed the relationships between impulsivity and social media addiction (SMA) and between impulsivity and problematic smartphone use (PSU) based on total scores on standardized self-report scales. However, there has been a lack of studies exploring how the dimensions of impulsivity and components of SMA or PSU are interrelated. The present study aimed to investigate the structural relationships between the dimensions of impulsivity and components of SMA and PSU and determine the critical bridge node using network analysis.MethodsA total of 325 healthy adults aged 18–36 years participated in the study. SMA and PSU were assessed using the Bergen Social Media Addiction Scale (BSMAS) and Smartphone Application-Based Addiction Scale (SABAS), respectively. Impulsivity was measured by the Barratt Impulsiveness Scale Version 11 (BIS-11). Network analysis was used to construct an SMA-Impulsivity network and a PSU-Impulsivity network. Bridge centrality (bridge expected influence, BEI) was estimated to identify influential bridge nodes.ResultsIn addition to relationships within each community, network analysis revealed that the dimensions of impulsivity were closely associated with the components of SMA and PSU. Particularly, I2 “motor impulsivity” had a relatively strong connection with SMA3 “mood modification” and SMA4 “relapse” in the SMA-Impulsivity network, and with PSU2 “conflict” and PSU5 “withdrawal” in the PSU-Impulsivity network. Moreover, I2 “motor impulsivity” was identified as the most critical bridge node in both networks.ConclusionThese findings demonstrate potential pathways between different dimensions of impulsivity and the components of SMA and PSU, providing new evidence relevant to understanding the underlying mechanisms that account for how highly impulsive individuals develop SMA and PSU, and highlight the critical bridge node—motor impulsivity—that may be a promising and effective target for the prevention and treatment of SMA and PSU.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Applying network analysis to understand the relationships between impulsivity and social media addiction and between impulsivity and problematic smartphone use

et al. 2022

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“…Research that uses a network approach to elucidate the interplay between different variables and parental stress is scarce. So far, few studies have been conducted that used a network approach to provide information on the unique connections between parenting stress and loneliness (Skjerdingstad et al, 2021 ) where feeling worthless was the most central node that connected parenting stress with loneliness. A network approach was also used to discover the dynamic within maternal and paternal stress (Hukkelberg & Nærde, 2021 ).…”

Section: Network Approach To Psychopathologymentioning

confidence: 99%

Parental stress and child mental health: a network analysis of Romanian parents

et al. 2022

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Parental stress is related to child mental health problems, with numerous evidence indicating that it is an important predictor of parenting and parent-child relationship. New approaches to psychopathology could be particularly informative for clinical research, however, there is limited research that employs network analysis with parents. Network analysis could contribute to a better understanding of the relationship between child mental health problems and parental stress by highlighting the most central nodes and how the two constructs influence each other. The scope of the study was to identify potential new intervention targets to reduce the mental health problems of children and prevent contagion between parent stress and child psychopathology. Furthermore, we also sought to test whether the dynamic between parental stress and child psychopathology differs across the level of parent stress and child total difficulties. In this endeavor, we had three main directions. First, we estimated a network at the level of child mental health problems and identified the most central nodes. Second, we mapped the main paths through which parent stress and child mental health problems communicate with each other. Third, we investigated the network invariance across the level of parent stress (high vs moderate) and child mental health problems (low vs. high total difficulties). Participants ( N = 1014) were parents of children with ages between four and 17 years old. The analyses were conducted in RStudio. Results indicated that perceived coping was a central node, bridging the two constructs. The global strength of the network was higher for parents who reported high levels of stress compared to those who reported only moderate levels of stress. In contrast, we found that the global strength of the network was lower for children with high levels of total difficulties compared to those with low levels of total difficulties. In conclusion, we argue the importance of focusing on the targeting nodes with high bridge centrality, such as perceived coping, for designing prevention and intervention programs. Future research should use temporal dynamics between parental stress and child mental health problems and explore mechanisms between the two constructs. Supplementary Information The online version contains supplementary material available at 10.1007/s12144-022-03520-1.

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“…Because central nodes have the greatest influence on the overall network and bridge nodes are critical to maintaining the co-occurrence of mental disorders and facilitating the contagion of one disorder to another, these nodes have been identified as more effective targets for prevention and treatment than other nodes ( 53 , 63 – 65 ). Network analysis has been used to investigate three or more co-occurring constructs in a joint framework, including problematic Internet and smartphone use, primary emotional systems, and need satisfaction ( 67 ), as well as depressive symptoms, parental stress, and mechanistic variables ( 68 ).…”

Section: Introductionmentioning

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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Feelings of worthlessness links depressive symptoms and parental stress: A network analysis during the COVID-19 pandemic

Cited by 27 publications

References 59 publications

Applying network analysis to understand the relationships between impulsivity and social media addiction and between impulsivity and problematic smartphone use

Applying network analysis to understand the relationships between impulsivity and social media addiction and between impulsivity and problematic smartphone use

Parental stress and child mental health: a network analysis of Romanian parents

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

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