Workaholism and Mental Health Among Polish Academic Workers

Bartczak, Monika; Ogińska-Bulik, Nina

doi:10.1080/10803548.2012.11076910

Cited by 34 publications

(33 citation statements)

References 17 publications

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“…Among workers who answered the WART, 22% were at high-risk of work addiction. The literature reported similar results in hospital doctors (13%) [ 29 ] or academic employees (22%) [ 56 ]. However, the prevalence of work addiction risk can be lower in other populations such as what was found in Italian teenagers (8%) [ 57 ] or with the use of other questionnaires (8%) [ 3 ].…”

Section: Discussionmentioning

confidence: 58%

“…We found a predominance of a high risk of work addiction in women (27% of women vs. 15% of men). Even if some studies did not report any gender difference in the prevalence of work addiction risk using the WART [ 29 , 56 , 57 ] or other questionnaires [ 3 , 58 ], most recent studies showed an increased risk of work addiction for women [ 59 , 60 ]. This result could be explained by the finding that women might have higher work ambitions than men [ 59 ], reflecting an evolution of women’s emancipation in our society with more involvement at work [ 61 , 62 ].…”

Section: Discussionmentioning

confidence: 99%

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Exploring the Link between Work Addiction Risk and Health-Related Outcomes Using Job-Demand-Control Model

Dutheil

Charkhabi

Ravoux

et al. 2020

IJERPH

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Purpose of the study: Work addiction risk is a growing public health concern with potential deleterious health-related outcomes. Perception of work (job demands and job control) may play a major role in provoking the risk of work addiction in employees. We aimed to explore the link between work addiction risk and health-related outcomes using the framework of job-demand-control model. Methods: Data were collected from 187 out of 1580 (11.8%) French workers who agreed to participate in a cross-sectional study using the WittyFit software online platform. The self-administered questionnaires were the Job Content Questionnaire by Karasek, the Work Addiction Risk Test, the Hospital Anxiety and Depression scale and socio-demographics. Data Analysis: Statistical analyses were performed using the Stata software (version 13). Results: There were five times more workers with a high risk of work addiction among those with strong job demands than in those with low job demands (29.8% vs. 6.8%, p = 0.002). Addiction to work was not linked to job control (p = 0.77), nor with social support (p = 0.22). We demonstrated a high risk of work addiction in 2.6% of low-strain workers, in 15.0% of passive workers, in 28.9% of active workers, and in 33.3% of high-strain workers (p = 0.010). There were twice as many workers with a HAD-Depression score ≥11 compared with workers at low risk (41.5% vs. 17.7%, p = 0.009). Sleep quality was lower in workers with a high risk of work addiction compared with workers with a low risk of work addiction (44.0 ± 27.3 vs. 64.4 ± 26.8, p < 0.001). Workers with a high risk of work addiction exhibited greater stress at work (68.4 ± 23.2 vs. 47.5 ± 25.1) and lower well-being (69.7 ± 18.3 vs. 49.3 ± 23.0) compared with workers at low risk (p < 0.001). Conclusions: High job demands are strongly associated with the risk of work addiction. Work addiction risk is associated with greater depression and poor quality of sleep. Preventive strategies should benefit from identifying more vulnerable workers to work addiction risk.

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Section: Discussionmentioning

confidence: 58%

Section: Discussionmentioning

confidence: 99%

Exploring the Link between Work Addiction Risk and Health-Related Outcomes Using Job-Demand-Control Model

Dutheil

Charkhabi

Ravoux

et al. 2020

IJERPH

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“…Workaholism, recently encountered in several studies conducted in the academic context [20,21,47,48], is often described as a "pattern of heavy work investment, long working hours, working beyond expectations and, especially, an uncontrollable obsession with work" [49], whose antecedents are usually differentiated between the individual and situational [50]. Some researchers define workaholism as a pathology, however, it is not included in the Diagnostic and Statistical Manual of Mental Disorders (DSM-5).…”

Section: Workaholism Burnout and Work-family Conflictmentioning

confidence: 99%

The Unbearable Lightness of the Academic Work: The Positive and Negative Sides of Heavy Work Investment in a Sample of Italian University Professors and Researchers

et al. 2019

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Universities perform very demanding tasks within a workplace characterized by a critical psychosocial environment. Against this backdrop, the aim of this study is to extend the current literature on the job sustainability of faculty professors, examine the associations of certain job resources (meaningfulness of work, reward) and job demands (work overload, conflict among colleagues) with workaholism, burnout, engagement. A self-report questionnaire was administered within a public higher education institution in Italy to a sample constituted by 291 professors. The results of path analysis show that meaningfulness of work and reward positively correlate with work engagement, work satisfaction, and psychological wellbeing and ward off emotional exhaustion and intention to leave. Work overload correlates positively with workaholism, work-family conflict and intention to leave and negatively with job satisfaction. Finally, workaholism correlates with work engagement and mediates the relationship between work overload and work-family conflict, emotional exhaustion, and psychological discomfort. The study highlights that to support the work of academic workers and build healthy and sustainable universities, it is necessary to promote job resources and control job demands. Moreover, the study highlights that work engagement and workaholism can be respectively considered as the positive and negative sides of heavy work investment.

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“…Em relação ao porte da empresa, Frasunkiewicz (2006) destaca que a AT é mais frequente em grandes empresas devido a maior cultura de eficiência, que valoriza a participação excessiva dos trabalhadores. Ainda, a AT vem sendo associada à menor satisfação com a vida (Bartczak & Oginska-Bulik, 2012;Carlotto, 2011) e motivação com foco na prevenção, na qual o trabalhador é mais voltado para suas obrigações e responsabilidades, sempre atreladas à segurança (Van Beek, Taris, Schaufeli, & Brenninkmeijer, 2013).…”

Section: Introductionunclassified

Untitled

Pinheiro

Carlotto

2018

RevPsicología

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b Universidade do Vale do Rio dos Sinos, Rio Grande do Sul, BrasilO presente estudo objetivou identificar a prevalência e os preditores da adição ao trabalho em uma amostra de 392 gestores Brasileiros. Como instrumentos de pesquisa, foram utilizados um questionário sociodemográfico e laboral, a Dutch Work a Addiction Scale, a Utrecht Work Engagement Scale, a Escala de Satisfação com a Vida e a Escala de Foco Regulatório. A análise dos dados foi realizada por meio de regressão linear múltipla para as duas dimensões da adição ao trabalho, trabalho excessivo e trabalho compulsivo. A dimensão de trabalho excessivo revelou um modelo preditor composto pelas variáveis de satisfação com a vida, dedicação, absorção, horas diárias de utilização de tecnologias e tipo de vínculo, enquanto a dimensão do trabalho compulsivo foi explicada pelas variáveis absorção, satisfação com a vida, quantidade de horas trabalhadas no final de semana, motivação/foco na prevenção e idade. Os resultados revelaram um modelo preditor composto por variáveis individuais e características do cargo/trabalho/instituição, sugerindo se tratar de um fenômeno psicossocial. O modelo identificado pode subsidiar novos estudos e intervenções voltadas para a melhoria da qualidade de vida no trabalho, promovendo a saúde e bem-estar entre gestores. Palavras-chave: adição ao trabalho, gestores, saúde ocupacional.This study aimed to identify the prevalence and predictors of workaholism in a sample of 392 Brazilian managers. We used a sociodemographic and occupational questionnaire, the Dutch Work Addiction Scale, the Utrecht Work Engagement Scale, the Satisfaction with Life Scale and the Regulatory Focus Scale. Data analysis was performed by multiple linear regression for the two dimensions of work addiction, excessive and compulsive working. The dimension of excessive working revealed a predictive model which consists of the following variables satisfaction with life, dedication, absorption, daily hours of technology use and type of bond, whereas the dimension of compulsive working was explained by other variables such as absorption, satisfaction with life, number of working hours over the weekend, motivation / focus on prevention and age. The results revealed a predictive model consisting of both individual and function / job / institution variables, which suggests that work addiction is a psychosocial phenomenon. The identified model can support new studies and interventions aimed at improving the quality of life at work, promoting health and well-being among managers.

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Workaholism and Mental Health Among Polish Academic Workers

Abstract: workaholism mental health academic workers

Cited by 34 publications

References 17 publications

Exploring the Link between Work Addiction Risk and Health-Related Outcomes Using Job-Demand-Control Model

Exploring the Link between Work Addiction Risk and Health-Related Outcomes Using Job-Demand-Control Model

The Unbearable Lightness of the Academic Work: The Positive and Negative Sides of Heavy Work Investment in a Sample of Italian University Professors and Researchers

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