Factors Associated With Work-Life Balance and Productivity Before and During Work From Home

Tejero, Lourdes Marie S.; Seva, Rosemary R.; Fadrilan-Camacho, Vivien Fe F.

doi:10.1097/jom.0000000000002377

Cited by 40 publications

(62 citation statements)

References 47 publications

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“…Currently, there are little data regarding patterns of sleep and work productivity during the COVID-19 pandemic in this population. Recent reports suggest that working remotely may be associated with worse productivity, which itself is related to mental health and sleep problems [ 39 , 40 , 41 ]. However, our data indicate that sleep quality and work productivity were not directly related to each other and were influenced by different determinants.…”

Section: Discussionmentioning

confidence: 99%

Quality of Sleep and Work Productivity among White-Collar Workers during the COVID-19 Pandemic

2022

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Background and Objectives: The COVID-19 pandemic has disrupted routine sleep and work patterns in the general population. We conducted an anonymous online survey among white-collar workers from various finance, IT and technology companies in Lithuania to define factors associated with worse sleep quality and diminished productivity during a COVID-19 lockdown. Materials and Methods: Employees of selected companies in Lithuania completed an anonymous questionnaire online that included the Pittsburgh Sleep Quality Index (PSQI), The Sleep Locus of Control (SLOC), the Generalized Anxiety Disorder Scale-7 (GAD-7), and the World Health Organization’s Health and Work Performance Questionnaire (WHO-HPQ). Respondents also provided information about their sleep hygiene, physical activity and alcohol use. Results: Data of 114 respondents (56, 49.1% male) were used for analysis. Among them, 49 (43.0%) suffered from poor sleep and 29 (25.4%) had clinically relevant levels of anxiety. However, there were only negligible levels of absenteeism in the sample (a median of zero hours of work lost over the past month). In a stepwise linear regression model (F(5,108) = 11.457, p < 0.001, R2adj = 0.316), high levels of anxiety, daily hours spent using the screen, use of electronic devices in the bedroom, smoking in the evening, and COVID-19-related changes in appetite were associated with worse sleep quality. Absenteeism was associated with physical activity of moderate intensity and decreased self-reported productivity during the pandemic (F(2,111) = 7.570, p = 0.001, R2adj = 0.104). However, there was no strong relationship between sleep-related variables (i.e., sleep hygiene, sleep locus of control, quality of sleep) or levels of anxiety and measures of work productivity. Conclusions: Our findings suggest that while bad sleep hygiene, anxiety, and changes in appetite are associated with worse sleep quality among white-collar workers during the pandemic, work productivity may remain high irrespective of disrupted sleep.

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Section: Discussionmentioning

confidence: 99%

Quality of Sleep and Work Productivity among White-Collar Workers during the COVID-19 Pandemic

2022

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“…We included the question about work location as a response to the COVID-19 pandemic, which was not part of the original study protocol. The consequences of work-from-home on workers’ productivity and well-being have gained increasing attention in research since the start of the COVID-19 pandemic (Tejero et al 2021 ). Our results showed no significant influence of the work location on work–life interference.…”

Section: Discussionmentioning

confidence: 99%

“…Our results showed no significant influence of the work location on work–life interference. However, a recent study among office workers has shown that during work-from-home, the social support of colleagues declined, leading to increased stress, resulting in lower productivity and a poorer work–life balance (Tejero et al 2021 ). Our study population covered a wide range of occupations and seniority levels among office workers in academia.…”

Section: Discussionmentioning

confidence: 99%

The association between day-to-day stress experiences and work–life interference among office workers in academia: an ecological momentary assessment study

Bolliger

Debra

Lukan

et al. 2022

Int Arch Occup Environ Health

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Purpose We investigated relations between day-to-day job demands, job control, job strain, social support at work, and day-to-day work–life interference among office workers in academia. Methods This study is based on a 15-working day data collection period using an Ecological Momentary Assessment (EMA) implemented in our self-developed STRAW smartphone application. We recruited office workers from two academic settings in Belgium and Slovenia. Participants were repeatedly asked to complete EMAs including work stressors and work interfering with personal life (WIPL) as well as personal life interfering with work (PLIW). We applied fixed-effect model testing with random intercepts to investigate within- and between-participant levels. Results We included 55 participants with 2261 analyzed observations in this study. Our data showed that researchers with a PhD reported higher WIPL compared to administrative and technical staff (β = 0.37, p < 0.05). We found significant positive associations between job demands (β = 0.53, p < 0.001), job control (β = 0.19, p < 0.01), and job strain (β = 0.61, p < 0.001) and WIPL. Furthermore, there was a significant interaction effect between job control and social support at work on WIPL (β = − 0.24, p < 0.05). Additionally, a significant negative association was found between job control and PLIW (β = − 0.20, p < 0.05). Conclusion Based on our EMA study, higher job demands and job strain were correlated with higher WIPL. Furthermore, we found associations going in opposite directions; higher job control was correlated with higher WIPL and lower PLIW. Higher job control leading to higher imbalance stands out as a novel result.

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“…Working from home causes difficulties in attaining psychological detachment because of the absence of physical distinction between work and home. Commuting to work used to act as a natural boundary between work and home and has vanished in the work-from-home format (Tejero et al, 2021).…”

Section: The Problemmentioning

confidence: 99%

“…A decrease in psychological detachment causes an increase in stress. Psychological detachment (PD) is an important predictor of wellbeing (Tejero et al, 2021). Psychological detachment is part of the recovery experiences, and the recovery process constitutes the reverse of the strain process (Sonnentag & Fritz, 2007).…”

Section: Importance Of the Problemmentioning

confidence: 99%

The Work-Home Border Accounting System: A Function of Psychological Detachment

Eniola

2022

IJHRS

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COVID-19 transformed work arrangements by increasing the adoption of the work-from-home format. Work-from-home employees are susceptible to continuous job stressors and the permeability of the work-to-home border. Psychological detachment serves as the pathway to recovery from job stressors and for preventing the carryover of work thoughts into the home domain during non-work time. Therefore, this review presents theoretical and practical implications for work-to-home border management by integrating literature about psychological detachment and work-from-home. Work-home border accounting involves examining and minimizing conditions that inhibit psychological detachment, e.g., ICTs demand, overtime, telepressure, interruptions, etc., which are withdrawals from employees' energy or resource accounts, while facilitating psychological detachment through deposits which are non-work activities such as leisure, social support, exercises, etc. This article proposes the work-home border accounting system for managing the work-to-home border. The review suggests the resources employees accumulate through psychological detachment, e.g., wellbeing, life satisfaction, and work-life balance, and the deficits employees accrue if there is a shortfall of deposits required for psychological detachment, e.g., stress, low productivity, work-family conflict, etc. Hence, this article provides a coherent understanding of the processes necessary for psychological detachment during work-from-home.

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Factors Associated With Work-Life Balance and Productivity Before and During Work From Home

Cited by 40 publications

References 47 publications

Quality of Sleep and Work Productivity among White-Collar Workers during the COVID-19 Pandemic

Quality of Sleep and Work Productivity among White-Collar Workers during the COVID-19 Pandemic

The association between day-to-day stress experiences and work–life interference among office workers in academia: an ecological momentary assessment study

The Work-Home Border Accounting System: A Function of Psychological Detachment

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