Work Addiction and Work Engagement: a Network Approach to Cross-Cultural Data

Bereznowski, Piotr; Bereznowska, Aleksandra; Atroszko, Paweł A.; Konarski, Roman

doi:10.1007/s11469-021-00707-8

Cited by 17 publications

(22 citation statements)

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“…Based on these results, Bereznowski et al (2021) argued that the inclusion of other workrelated phenomena might help validate the claim that the two clusters represent more and less pathological groups of work addiction symptoms. Bereznowski et al (2021) investigated the relationships between symptoms of work addiction and dimensions of work engagement. Work engagement is a positive work-related mental state.…”

Section: Introductionmentioning

confidence: 72%

“…These clusters showed partial overlap with a distinction between peripheral (cognitive salience, tolerance, and euphoria) and core (conflict, withdrawal symptoms, relapse and reinstatement, and behavioral salience) symptoms of gaming addiction (Charlton and Danforth, 2007). Based on these results, Bereznowski et al (2021) argued that the inclusion of other workrelated phenomena might help validate the claim that the two clusters represent more and less pathological groups of work addiction symptoms. Bereznowski et al (2021) investigated the relationships between symptoms of work addiction and dimensions of work engagement.…”

Section: Introductionmentioning

confidence: 83%

“…Recently, the network theory of mental disorders (Borsboom, 2017) has been used to conceptualize work addiction as a network of symptoms in direct relationships (Bereznowski et al, 2021(Bereznowski et al, , 2022. A network is a graph composed of nodes representing observed variables (e.g., a symptom of work addiction or a dimension of job burnout) and edges representing the estimated strength of direct relationships between the observed variables.…”

Section: Introductionmentioning

confidence: 99%

“…The purpose of this study was to extend the previous work of Bereznowski et al (2021Bereznowski et al ( , 2022 by including in the network two 10.3389/fpsyg.2023.1130069 negative phenomena: job burnout (a possible mediator between work addiction and work engagement) and perceived stress (one of the most important causes of work addiction). In the 11th Revision of the International Classification of Diseases (ICD-11;World Health Organization, 2019), job burnout has been classified as an occupational phenomenon (a reason for which people contact health services other than illness).…”

Section: Introductionmentioning

confidence: 99%

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Work addiction, work engagement, job burnout, and perceived stress: A network analysis

2023

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IntroductionRecently, the network theory of mental disorders has been used to conceptualize work addiction as a dynamic system of symptoms in direct relationships. This study aimed to extend previous work by investigating the direct relationships of work addiction symptoms with dimensions of work engagement, job burnout, and perceived stress.MethodsThese phenomena were measured with the Bergen Work Addiction Scale, the Utrecht Work Engagement Scale, the Maslach Burnout Inventory–General Survey, and the Perceived Stress Scale. The sample comprised 676 working Poles with a mean age of 36.12 years (SD = 11.23). The network analysis followed the guidelines for estimating psychological networks from cross-sectional data.ResultsWork engagement and job burnout were more closely associated with each other than with work addiction which supports the notion that engagement and burnout represent polar opposites of the same construct and that work addiction is a separate phenomenon, related to both work engagement and job burnout via specific pathways. The symptoms of work addiction were connected with other phenomena through four direct relationships: (1) mood modification—absorption, (2) mood modification—stress, (3) withdrawal—absorption, and (4) problems—exhaustion.DiscussionThese findings narrow down and specify hypotheses regarding potential mechanisms leading from engagement to addiction and from addiction to burnout. The possible mechanisms focus on the absorption component and mood modification related to efforts focused on alleviating chronic stress and negative emotional states. In turn, problems arising from work addiction may lead to exhaustion. Future studies investigating these mechanisms in detail may enable proper prevention programs and therapeutic interventions.

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Section: Introductionmentioning

confidence: 72%

Section: Introductionmentioning

confidence: 83%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Work addiction, work engagement, job burnout, and perceived stress: A network analysis

2023

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“…Network centrality is estimated based on node strength. However, a modified version is used assuming that nodes are weakly connected, which is referred to as bridging strength (Bereznowski et al, 2021 ). The bridge strength is a product of the sum of the absolute values of the edges of a given node to all other nodes.…”

Section: Methodsmentioning

confidence: 99%

Network analysis of the relationships between conspiracy beliefs towards COVID-19 vaccine and symptoms of fear of COVID-19 in a sample of latin american countries

et al. 2022

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The present study examined how conspiracy beliefs about COVID-19 vaccines specifically relate to symptoms of fear of COVID-19 in a sample of four South American countries. A total of 1785 people from Bolivia, Colombia, Ecuador, and Peru participated, responding to a sociodemographic survey, the Fear of COVID-19 scale (FCV-19 S) and the Vaccine Conspiracy Beliefs Scale-COVID-19 (VCBS-COVID-19). Network analysis identified the most important symptoms of fear and conspiracy beliefs about COVID-19 vaccines (nodes) and the associations between them (edges). In addition, the robustness of the network of these indicators of centrality and the possible differences in the structure and connectivity of the networks between the four countries were evaluated. The results suggest that the nodes with the highest centrality were items 2 and 5 of the FCV-19 S and item 2 of the VCBS-COVID-19. Likewise, item 6 is the belief that most predicts conspiracy beliefs about vaccines against COVID-19; while item 6 was the symptom that most predicts fear of COVID-19. The findings strongly support cross-cultural similarities in the networks across the four countries rather than differences. Although it was expected that a higher presence of symptoms of fear of COVID-19 may lead people to compensate for their fear by believing in conspiratorial ideas about vaccines and, consequently, rejecting the COVID-19 vaccine, the results do not clearly show this relationship. This could lead other researchers to generate evidence to explain the differences between Latin American countries and countries in other contexts in terms of vaccination rates. This evidence could be useful to develop policies favoring vaccination against COVID-19 that are more contextualized to the Latin American region, characterized by social instability and economic recession during the pandemic.

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What matters most? Network analysis of mental health, recovery experiences, sleep, and fatigue among career firefighters

et al. 2022

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Firefighters exhibit a higher prevalence of mental health issues than other occupations because they often directly or indirectly experience potentially traumatic events. Previous research has suggested that recovery experiences, sleep, and fatigue may be protective or risk factors for firefighters' mental health. This study conducted regularised partial correlation network analysis to investigate and visualise the complex relationships between these variables. We collected data through an online survey, and 3144 career firefighters from a large east‐coast city in China, were included in the analyses. The results of the network analysis showed that: (1) only relaxation and mastery experiences directly correlated with one dimension of the mental health scale, namely, life/social functioning; (2) sleep quality had stronger correlations with mental health issues than sleep quantity; and (3) mental health issues were central nodes of the network. These results indicated that firefighters' mental health was close to other variables in the network and acted as a bridge linking other variables. Therefore, more attention should be paid to the mental health of firefighters to prevent comorbidities. The study's results also indicated that recovery experiences and sleep may be protective factors for firefighters' mental health.

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Work Addiction and Work Engagement: a Network Approach to Cross-Cultural Data

Cited by 17 publications

References 62 publications

Work addiction, work engagement, job burnout, and perceived stress: A network analysis

Work addiction, work engagement, job burnout, and perceived stress: A network analysis

Network analysis of the relationships between conspiracy beliefs towards COVID-19 vaccine and symptoms of fear of COVID-19 in a sample of latin american countries

What matters most? Network analysis of mental health, recovery experiences, sleep, and fatigue among career firefighters

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