Reliability and Validity of the Work and Well-Being Inventory (WBI) for Employees

Vendrig, Alexander A.; Schaafsma, Frederieke

doi:10.1007/s10926-017-9729-7

Cited by 15 publications

(20 citation statements)

References 37 publications

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“…Although this might suggest that physical activity levels might not be associated with employees' work-related satisfaction and comfort, some recent studies suggest that tertiary employees' wellbeing might be related to sedentary behaviors, which may explain our results since both active and inactive workers present here at least 7.5 h of sedentary time per day ( 42 ). Such results are definitely of importance for both workers and employers, since work-related wellbeing has been clearly identified as a major predictive factor for prolonged or future sickness absence ( 43 ).…”

Section: Discussionmentioning

confidence: 99%

Effect of Work-Related Sedentary Time on Overall Health Profile in Active vs. Inactive Office Workers

Genin

Dessenne

Finaud³

et al. 2018

Front. Public Health

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Objective: While public health strategies are developed to fight sedentary behaviors and promote physical activity, some professional activities, and especially tertiary ones, have been pointed out for their highly sedentary nature. Although workplace physical activity programs are increasingly proposed by companies to their employees in order to increase their physical activity levels, sitting and screen time remain extremely high. The main aim of this work was to compare health indicators between active and inactive tertiary employees with similar high levels of sedentariness. Secondly, we questioned the effects of a 5-month workplace physical activity program on overall health indicators among initially active and inactive tertiary employees.Methods: Anthropometric measurements, body composition (bio-impedance), physical fitness (cardiorespiratory and musculoskeletal fitness) and health-related quality of life and perception of health status (self-reported questionnaires) were assessed among 193 active and inactive tertiary employees before (T0) and after a 5-month workplace physical activity intervention (T1), composed of 2 physical sessions per week.Results: Significant improvements were found in performance of push-ups (p < 0.001), back muscle strength (p < 0.001) fat mass (p < 0.01) and waist circumference (p < 0.05) in active compared with inactive employees both at baseline and at the end of the program. Health perception (p < 0.001) was significantly different between groups at T0 but not at T1. However, no significant difference was observed for fat-free mass, BMI, workplace well-being and lower and upper limbs muscle strength. The variations between T0 and T1 demonstrate that, while all the studied parameters progressed positively during the 5-month program, health perception (p < 0.001), back muscle strength (p < 0.05) and BMI (tendency) showed a significantly higher progression in the inactive compared with the active group.Conclusion: Health indicators might not be improved among active tertiary employees compared with inactive ones, which might be due to the high level of sedentariness characterizing their occupational task.Structured on-site physical activity programs can improve health in both initially active and inactive employees.

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Section: Discussionmentioning

confidence: 99%

Effect of Work-Related Sedentary Time on Overall Health Profile in Active vs. Inactive Office Workers

Genin

Dessenne

Finaud³

et al. 2018

Front. Public Health

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“…Psychosocial factors were measured using the Well-Being Inventory (WBI) [30]. Individuals were asked whether they had problems with help-seeking, problem-solving, slowing down, ability to control events, whether they were worrying about the future in such extent that it prevented them from performing daily life activities, and whether they set high standards at work.…”

Section: Independent Variablesmentioning

confidence: 99%

Predicting Long-Term Sickness Absence and Identifying Subgroups Among Individuals Without an Employment Contract

Louwerse¹,

Rijssen²,

Huysmans³

et al. 2020

J Occup Rehabil

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Purpose Today, decreasing numbers of workers in Europe are employed in standard employment relationships. Temporary contracts and job insecurity have become more common. This study among workers without an employment contract aimed to (i) predict risk of long-term sickness absence and (ii) identify distinct subgroups of sick-listed workers. Methods 437 individuals without an employment contract who were granted a sickness absence benefit for at least two weeks were followed for 1 year. We used registration data and self-reported questionnaires on sociodemographics, work-related, health-related and psychosocial factors. Both were retrieved from the databases of the Dutch Social Security Institute and measured at the time of entry into the benefit. We used logistic regression analysis to identify individuals at risk of long-term sickness absence. Latent class analysis was used to identify homogenous subgroups of individuals. Results Almost one-third of the study population (n = 133; 30%) was still at sickness absence at 1-year follow-up. The final prediction model showed fair discrimination between individuals with and without long-term sickness absence (optimism adjusted AUC to correct for overfitting = 0.761). Four subgroups of individuals were identified based on predicted risk of long-term sickness absence, self-reported expectations about recovery and return to work, reason of sickness absence and coping skills. Conclusion The logistic regression model could be used to identify individuals at risk of long-term sickness absence. Identification of risk groups can aid professionals to offer tailored return to work interventions.

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“…The validated questions were based on the following validated questionnaires: The work and well-being inventory (WBI) questionnaire with 85 questions and five subscales [ 20 ]: The stressors subscale with a scoring range of 16–64 (higher scores indicate more stressors). The support subscale with a scoring range of 21–84 (higher scores indicate better support).…”

Section: Methodsmentioning

confidence: 99%

Prognostic Factors for Staying at Work for Partially Sick-Listed Workers with Subjective Health Complaints: A Prospective Cohort Study.

Weerdesteijn

Schaafsma

Bonefaas-Groenewoud

et al. 2020

IJERPH

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Examination of prognostic factors for staying at work for long-term sick-listed workers with subjective health complaints (SHC) who partially work in a paid job, and to evaluate whether these factors are comparable with those of workers with other disorders. We used data of 86 partially sick-listed workers with SHC (57 females, 29 males, mean age 47.1 years) and 433 with other disorders (227 females, 206 males, mean age 50.9 years), from an existing prospective cohort study consisting of 2593 workers aged 18–65 years and registered as sick-listed with different health complaints or disorders for at least 84 weeks in the database of the Dutch Social Security Institute. We performed univariable logistic regression analyses (p ≤ 0.157) for all independent variables with the dependent variable staying at work for the workers with SHC. We then performed multivariable logistic regression analyses with forward selection (p ≤ 0.157) and combined the remaining factors in a final, multivariable model (p ≤ 0.05), which we also used for logistic regression analysis in the workers with other disorders. The following factors were significant prognostic factors for staying at work for workers with SHC: full work disability benefits (odds ratio (OR) 0.07, 95% confidence interval (95% CI) 0.01–0.64), good mental health (OR 1.08, 95% CI 1.02–1.14), positive expectations for staying at work (OR 6.49, 95% CI 2.00–21.09), previous absenteeism for the same health complaint (OR 0.31, 95% CI 0.10–0.96) and good coping strategies (OR 1.13, 95% CI 1.04–1.23). For workers with other disorders, full work disability benefits, good mental health and positive expectations for staying at work were also prognostic factors for staying at work. Individual and policy factors seem to be important for staying at work of sick-listed workers with SHC and those with other disorders alike, but several biopsychosocial factors are particularly important for workers with SHC.

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Reliability and Validity of the Work and Well-Being Inventory (WBI) for Employees

Cited by 15 publications

References 37 publications

Effect of Work-Related Sedentary Time on Overall Health Profile in Active vs. Inactive Office Workers

Effect of Work-Related Sedentary Time on Overall Health Profile in Active vs. Inactive Office Workers

Predicting Long-Term Sickness Absence and Identifying Subgroups Among Individuals Without an Employment Contract

Prognostic Factors for Staying at Work for Partially Sick-Listed Workers with Subjective Health Complaints: A Prospective Cohort Study.

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