Does Work–Home Interference mediate the relationship between workload and well-being?

Geurts, Sabine A. E.; Kompier, Michiel A. J.; Roxburgh, Susan; Houtman, I.L.D.

doi:10.1016/s0001-8791(02)00025-8

Cited by 238 publications

(224 citation statements)

References 49 publications

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“…A survey among a representative sample of the US work force revealed that not less than 40% of employed parents feel that work interferes with their family life (Bond, Thompson, Galinsky, & Prottas, 2003). Similar and even higher figures have been reported for Dutch employees (Geurts, Kompier, Roxburgh, & Houtman, 2003) and for the Canadian work force (Duxbury & Higgins, 2001). Allen, Herst, Bruck, and Sutton's (2000) meta-analysis showed that work Áhome (WH) interference (often referred to as workÁhome conflict; Greenhaus & Beutell, 1985) is unfavourably associated with various work-, family-, and particularly stress-related outcomes.…”

Section: Introductionsupporting

confidence: 82%

Dimensions of work–home culture and their relations with the use of work–home arrangements and work–home interaction

et al. 2007

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Section: Introductionsupporting

confidence: 82%

Dimensions of work–home culture and their relations with the use of work–home arrangements and work–home interaction

et al. 2007

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“…In this study, we considered WHI as an extra-organizational stressor, relying on role stress theory (Kahn, Wolfe, Quinn, Snoek, & Rosenthal, 1964) which hypothesizes that participation in one role limits the allocation of resources to other roles (Greenhaus & Beutell, 1985). However, Geurts, Kompier, Roxburgh and Houtman (2003) recently argued, that from this perspective, it remains unclear how WHI should be embedded in the stressorstrain relationship. Although WHI is often found to be a potential source of stress, having adverse effects on well-being (Leiter & Durup, 1996;Rice, Frone, & McFarlin, 1992), several authors have found that work-to-home conflict played a significant role in mediating the impact of work-based stress on well-being (Geurts et al, 2003;Peeters, de Jonge, & Montgomery, 2003;Bacharach, Bamberger, & Conley, 1991).…”

Section: Discussionmentioning

confidence: 99%

Burnout among nurses: Extending the Job Demand-Control-Support model with work-home interference

Proost¹,

Witte²,

Witte³

et al. 2004

PSYCHOL BELG

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One of the leading models on antecedents of subjective well-being and stress at work is the job Demand-Control-Support model. Be it to a lesser extent, this model has also been applied to the study of burnout. In this study we tried to extend this model with work-home interference, which can be considered an additional stressor. 2075 Belgian nurses divided over 14 hospitals participated in this study. The results of hierarchical regression analyses showed a strong additional effect of work-home interference on each of the three dimensions of burnout, after controlling for the dimensions of the job Demand-ControlSupport model. However, mediational analyses showed that the effect of workhome interference on depersonalization was partly mediated by emotional exhaustion and that the effect on personal accomplishment was partly mediated by emotional exhaustion and depersonalization.

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“…Each item was rated on a scale with the following specifications: 1 (never), 2 (sometimes), 3 (often), and 4 (always). The scale has previously shown satisfactory internal consistency across three samples (α = .75-.81) (Geurts, Kompier, Roxburgh, & Houtman, 2003).…”

Section: Exhaustion Exhaustion Was Measured By the Exhaustion Subscamentioning

confidence: 92%

Development of exhaustion for high-performance coaches in association with workload and motivation: A person-centered approach

Bentzen

Lemyre

Kenttä

2016

Psychology of Sport and Exercise

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This file was dowloaded from the institutional repository Brage NIH -brage.bibsys.no/nih Bentzen, M., Lemyre, N., Kenttä, G. (2016 • Four different trajectories of exhaustion among the coaches were identified; "High" (10%), "Increase" (15%), "Decrease" (4%) and "Low" (71%).• When associating the different trajectories to workload, work-home interference (WHI), recovery, intrinsic and identified regulation, adaptive and maladaptive profiles were identified.• A maladaptive profile corresponded to higher perceived workload and WHI, lower recovery, and intrinsic and identified regulation, when compared to an adaptive profile. EXHAUSTION DEVELOPMENT: A PERSON-CENTRED APPROACH AbstractObjectives: The aim of the current study was twofold. First, to explore whether there were different trajectories of exhaustion among high-performance coaches over the course of a competitive season. Then, to investigate whether workload-related variables and motivational regulations were associated with exhaustion class membership.Methods and design: 299 high-performance coaches responded to an online survey at the start, middle, and end of a competitive season, assessing exhaustion, workload, work home interference (WHI), recovery, and motivational regulations. Latent class growth analyses were used to identify different trajectories of perceived exhaustion. Further, multinomial logistic regression examined class associations for workload-related variables and motivational regulations at the start and at the end of competitive season.Results: Four different trajectories of perceived exhaustion among coaches were identified, termed respectively "High" (10%), "Increase" (15%), "Decrease" (4%) and "Low" (71%).Higher levels of workload and WHI were associated to classes with higher levels of exhaustion. Higher levels of recovery, and intrinsic and identified regulations were associated to classes with lower levels of exhaustion. Adaptive and maladaptive profiles were identified.Conclusions: Different trajectories of exhaustion among high-performance coaches over the course of a competitive season were found. A maladaptive profile was associated with higher perceived workload and WHI, as well as lower levels of recovery, intrinsic and identified regulations, when compared to the adaptive profile.

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Does Work–Home Interference mediate the relationship between workload and well-being?

Cited by 238 publications

References 49 publications

Dimensions of work–home culture and their relations with the use of work–home arrangements and work–home interaction

Dimensions of work–home culture and their relations with the use of work–home arrangements and work–home interaction

Burnout among nurses: Extending the Job Demand-Control-Support model with work-home interference

Development of exhaustion for high-performance coaches in association with workload and motivation: A person-centered approach

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