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Objectives:
Cross-sectional research has found that shorter and poorer sleep are associated with lower work performance and greater work-to-family conflict (WTFC). However, we know little about daily mechanisms linking sleep, work performance, and WTFC. This study tested whether previous nights' sleep was linked to next day WTFC, mediated by work...
Contexts in source publication
Context 1
... the link between previous nights' sleep and next-day work per- formance was examined (Path A in Fig. 1; two models were con- ducted to account for the two mediators -work productivity and work quality). Results for the first step can be viewed in Table 2 (Model 1 assesses sleep ➔ work productivity; Model 2 assesses sleep ➔ work quality). Second, the link between work performance and WTFC after work was examined (Path B in Fig. 1), while control- ling for previous night's sleep. ...
Context 2
... the link between work performance and WTFC after work was examined (Path B in Fig. 1), while control- ling for previous night's sleep. Results for the second step can be viewed in Table 2; Model 3 assesses work productivity ➔ WTFC and Model 4 assesses work quality ➔ WTFC. To calculate effect sizes, un- standardized gamma coefficients (γ) were converted into standard- ized regression weights (β). ...
Context 3
... 43, P b .001). Table 2 shows results of multilevel modeling examining sleep dura- tion and quality as predictors of work productivity (Model 1) and work quality (Model 2). In Model 1, sleep duration was not associated with work productivity at either the BP or WP level. ...
Context 4
... 2: Performance at work and work-to-family conflict Next, we examined whether work performance was associated with WTFC, after controlling for previous night's sleep. Model 3 in Table 2 shows that work productivity was significantly associated with WTFC at both BP (effect size = .22) and WP levels (effect size = .13). ...
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Citations
... 4 Sleep quality is associated with work performance such that better sleep at night leads to a more productive work the next day. 7,8 A study on employees in Saudi Arabia found that a highly significant outcome of poor-quality sleep was sleeping during work time. Moreover, the study found that those employees who took sleep medicines were more likely to be absent from work or make errors while working. ...
Background and Aims
Sleep is a complex physiological process during which the body and mind enter a period of rest. For a healthy lifestyle, different cohort groups can be affected in different ways. One such cohort is healthcare workers (HCWs)—an unexplored group in Afghanistan. Therefore, the present study examined the association between a range of sociodemographic factors including having night shift work and sleep quality among Afghan HCWs.
Methods
A cross‐sectional survey was administered in January 2023 among HCWs (N = 342) in the Herat province of Afghanistan. The survey examined sleep quality and its association with a range of sociodemographic factors among HCWs. Logistic regression models were used to examine the association of sleep quality with sociodemographic characteristics among HCWs. The Pittsburgh Sleep Quality Index (PSQI) was used to assess the sleep quality among HCWs.
Results
A total of 342 HCWs participated in the present study with an age range of 18 to 60 years. The mean age of the participants was 28.90 years (SD ± 8.10). Just over half of the participants were male (50.3%). Of the 342 participants, 58.5% reported poor sleep quality. Being married status, having higher number of children, not being a doctor, having low economic status, working night shifts, and having a traumatic event occur during past month were among the main variables associated with sleep quality among Afghan HCWs. Multiple regression analysis indicated that having high income [negatively] (AOR = 4.132, p = 0.002), working night shifts [positively] (AOR = 0.288, p < 0.001), and having a traumatic event occur during past month [positively] (AOR = 0.504, p = 0.007) were significantly associated with sleep quality.
Conclusion
The study suggests the need for Afghan health employers to create a healthy work environment that prioritizes the well‐being of their employees by limiting overtime hours, providing rest breaks during long shifts, and ensuring that HCWs have access to necessary resources for coping with work‐related stressors. These policies would promote the overall health and well‐being of the workforce and would likely lead to better patient care outcomes.
... On the other hand, businesses that have embraced remote work have experienced increased levels of trust [28] and commitment [29] among their employees. This positive trend has resulted in lower employee turnover rates [30]. According to the studies, the following hypothesis can be stated: Hypothesis 2: WFH has a significant effect on organizational performance. ...
Background: Many healthcare organizations are adopting new forms of work organization that provide their employees with greater flexibility and independence. This is especially important in light of the Covid-19 pandemic. This study aims to examine how healthcare professionals' perception of working from home affects their performance. Method: This research study is designed to provide a descriptive and analytical understanding with practical applications. The study's statistical population consists of employees from the three distinct medical training centers within Hamedan University of Medical Sciences, with 140 individuals selected through systematic random sampling. An online questionnaire was distributed as the data collection tool between December 2021 and June 2022. SPSS and Smart PLS software were utilized to conduct data analysis. Results: Most of the study participants were women aged between 31 to 40 years who possessed a bachelor's degree. The results of the mean test showed that the Individual performance (mean=3.25) and organizational performance (mean=3.51) of the employees is higher than the average and is at a favorable level. As per the t-statistic, the average perception of WFH was below 3 (mean=1.68), suggesting that WFH is not widely adopted. The study found that the perception of WFH had a significant effect on individual performance (t = 9.623 > 1.96) and organizational performance (t = 6.368 > 1.96). Specifically, the perception of WFH predicted 42.2% of the changes in job performance and 26.7% of the changes in organizational performance.
... In line with this, a recent study among employed parents in the IT industry found that affective reactivity to WTFC, assessed over 8 consecutive days, was associated with poorer sleep quality and distress [38]. Further, poorer sleep quality was associated with lower productivity and higher WTFC the next day [39]. ...
Background
. Decreased work ability due to mental disorders is a growing concern in Europe. We studied the role of work-family conflicts in association with long-term sickness absence due to mental disorders (LTSA-MD).
Methods
. Baseline data were extracted from the Helsinki Health Study for women aged 40 to 55 in full-time work in 2001 − 2002 (N = 2386). Questionnaire responses were linked with register data from the Social Insurance Institution of Finland on SA spells due to mental disorders during 2004–2010. We studied an overall question on satisfaction with combining work and family (WFS) and composite scores of work-to-family conflicts (WTFC) and family-to-work-conflicts (FTWC), and their components in association with the first certified SA spell (≥ 12 calendar days) due to a mental disorder during the follow-up. We performed Cox regression analyses with hazard ratios (HR) and their 95% confidence intervals (CI) adjusted for sociodemographic factors, work schedule, perceived mental and physical strenuousness at work, and self-rated health. First, we examined all participants, and second, only those who reported no prior mental disorder.
Results
. Poor work-family satisfaction (WFS) was associated with subsequent LTSA-MD, adjusting for all covariates (HR 1.60; 95% CI 1.10–2.16). Both high WTFC (1.64; 1.15–2.23), and high FTWC (1.43; 1.02–2.00) increased the probability of LTSA-MD in the full model. When participants with prior mental disorder were excluded, the association between poor WFS and WTFC with LTSA-MD retained while that between FTWC and LTSA-MD attenuated; however, two items of the FTWC were still associated with LTSA-MD: ‘Family worries and problems distract you from your work’ and ‘Family matters prevent you from sleeping enough to do your job well’. Of the WTFC items, the following remained associated with LTSA-MD: ‘Problems at work make you irritable at home’ and ‘Your job takes so much energy you do not feel up to doing things that need attention at home’. The experience of decreased time for work or family did not associate with LTSA-MD.
Conclusions
. Among female municipal employees, dissatisfaction with combining work and family and both work-to-family and family-to-work conflicts were associated with subsequent long-term sickness absence due to mental disorders.
... Sleep quality is associated with work performance such that better sleep at night leads to a more productive work the next day (7,8). A study on employees in Saudi Arabia found that a highly signi cant outcome of poor-quality sleep was sleeping during work time. ...
Background
Sleep is a complex physiological process during which the body and mind enter a period of rest. For a healthy lifestyle, different cohort groups can be affected in different ways. One such cohort is healthcare workers (HCWs) – an unexplored group in Afghanistan. Therefore, the present study examined the association between a range of socio-demographic factors including having night shift work and sleep quality among Afghan HCWs.
Methods
A cross-sectional survey was administered in January 2023 among HCWs (N = 342) in the Herat province of Afghanistan. The survey examined sleep quality and its association with a range of socio-demographic factors among HCWs. Logistic regression models were used to examine the association of sleep quality with socio-demographic characteristics among HCWs.
Results
Of the 342 participants, 58.5% reported poor sleep quality. Married marital status, having higher number of children, not being a doctor, low economic status, working night shifts, and traumatic event occurring during past month were among the main variables associated with sleep quality among Afghan HCWs. Multiple regression analysis indicated having high income [negatively] (AOR = 4.132, p = 0.002), working night shifts [positively] (AOR = 0.288, p < 0.001), and traumatic event occurring during past month [positively] (AOR = 0.504, p = 0.007) were significantly associated with sleep quality.
Conclusion
The study suggests the need for Afghan health employers to create a healthy work environment that prioritizes the well-being of their employees by limiting overtime hours, providing rest breaks during long shifts, and ensuring that HCWs have access to necessary resources for coping with work-related stressors. These policies would promote the overall health and well-being of the workforce and would likely lead to better patient care outcomes.
... The findings also revealed that over 79% of the Canadian adults employed in the study were classified as frequently interacting and engaging in night screen time. Lawson and Lee (2016) investigated the excessive screen time behaviors of youthful smartphone users in the different metropolis in the United States. Findings from this study reflected that the majority of youths engrossed with their smartphones were found to be addicted to one game or the other. ...
The academic staff's well-being is very paramount and of utmost importance, as it is the gateway to increased creativity, performance, and commitment to the university's development agenda. In this globalizing world, technology has been on the rise and pervades all aspects of human endeavors. Premised on the continuous emergence of sophisticated technology, human life has continued to depend on,-and the level of humans' exposure to these technologies (i.e., screens) for achieving development strides is growing at an astronomical rate. Despite the fact that the advent of science and technology and its innovativeness has birthed an avenue for instantaneous communication with others and increased the ability to perform well on the job, the effects of screen time most especially at night on the well-being of academics staff still represent a subtle challenge that continues unguarded. Based on the foregoing, this study investigated the effects of night screen time on the well-being of academic staff with empirical evidence from Nigeria. Using the descriptive survey research design, two hypotheses were stated and tested using the linear regression of SPSS version 26. Results of the analyses brought to the fore that, excessive smartphone usage has a significant effect on the sleep quality of academic staff and computer usage has a significant effect on anxiety disorder of academic staff in Nigeria. Based on these results, the study concluded that the establishment of a work-life integration culture that assists academic staff to care for their health is important for achieving their triad goals (research, teaching and community service). As a result, it recommends amongst others that the university management should develop quarterly health maintenance visitation plans for academic staff to cater for their overall well-being. Also, academic staff must adopt a low night screen usage time philosophy to cater for their health and overall well-being.
... It also improves next-day cognitive performance (e.g. concentration, reaction time, and comprehension [5,6]) and reduces the risk of occupational injuries [7][8][9][10], all of which have economic implications. ...
Indoor Air Quality (IAQ) and sleep quality measurements over a period of two weeks were performed all night in 40 bedrooms in Denmark during the heating season. In the first week, the bedroom conditions were typical of what participants would normally experience during sleep. In the second week, the participants were asked to open the doors or windows if they had been closed or the opposite. A change in the 95th percentile of the measured CO2 concentration by more than 200 ppm in the expected direction on the same weekdays of the two-week measurement period was taken to indicate that an effective intervention had taken place. The measurements in the 29 bedrooms that met this criterion were grouped depending on how the windows or doors had been manipulated. Objectively measured and subjectively rated bedroom IAQ improved when the windows were open except that the NO2 concentration was slightly higher. Sleep was longer under this condition and sleep quality was subjectively assessed to be better. Similar effects were not observed when the doors were open although the 95th percentile of CO2 concentration decreased by as much as when the windows were open. No effects were seen in the 11 bedrooms in which the change to the bedroom conditions made by the participants did not change the CO2 concentration by at least 200 ppm, as would be expected. The present study provides evidence that sufficient dilution and/or removal of pollutants is necessary to ensure good bedroom IAQ and good sleep quality.
... Nurses may have more sleep disturbances when compared with those in the general population (Cheung & Yip, 2015;Tsai et al., 2017). Poor sleep quality in nurses adversely affects their daily mental and physical functioning (Lee et al., 2004;Scott et al., 2014), increases the likelihood of cognitive difficulties (Kaliyaperumal et al., 2017), and reduces work quality and productivity (Lawson & Lee, 2018;Stimpfel et al., 2020). Previous studies have also found that nurses frequently report back pain (Guan et al., 2019;Ibrahim et al., 2020;Katsifaraki et al., 2019), musculoskeletal pain (Freimann et al., 2016;Zhang et al., 2020), neck pain (Freimann et al., 2016;Zhang et al., 2020), stomach pain (Katsifaraki et al., 2019), and headaches (Freimann et al., 2016;Guan et al., 2019;Katsifaraki et al., 2019). ...
Objective: Poorer sleep quality and insufficient sleep increase the risk of physical pain. The current study examined the daily associations between sleep and physical pain symptoms and tested the moderating role of trait and state mindfulness in this relationship. Methods: Sixty hospital nurses (Mage=35.4 ± 11.8 years) completed 14-day ecological momentary assessment (EMA) and sleep actigraphy. EMA measured physical pain frequency and interference (1×/day) and state mindfulness (3×/day). Multilevel modelling was used to examine the associations at the between-person and within-person levels. Results: After nights with poorer sleep quality, lower sleep sufficiency, and more insomnia symptoms, the frequency of physical pain symptoms and pain interference were greater than usual. Overall, those with poorer sleep quality, lower sleep sufficiency, and more insomnia symptoms reported more physical pain symptoms and greater pain interference. Higher state mindfulness buffered the negative within-person association between sleep efficiency and physical pain frequency. There was evidence that the joint moderating effects of trait and state mindfulness yielded more protective benefits in the relationship between sleep quality and physical pain than trait or state mindfulness alone. Conclusion: Even without mindfulness training, one's mindfulness may be protective against the adverse effects of poor sleep quality on physical pain.
... Sleep quality has been shown to affect NDWP [26,27]. However, only one laboratory study investigated how sleep quality at different temperatures affected NDWP [18] and found no effect. ...
Ten healthy young adults slept one by one in a specially designed and constructed sleep capsule located in a climate chamber at two temperatures (24 and 28 °C) and two ventilation rates that ensured that the resulting CO2 concentrations were 800 and 1700 ppm. Subjectively rated sleep quality was reduced at 28 °C and reduced ventilation, while sleep onset latency was longer under these conditions. Sleep efficiency was lower at 28 °C. Subjectively rated fatigue and sleepiness decreased after sleeping under all conditions but less so after sleeping at 28 °C. The subjects indicated that their work performance improved after sleeping at 24 °C but not when ventilation was reduced and the temperature increased. Both objectively measured and subjectively rated work performance was worse after sleeping in the condition with increased temperature. The subjects felt warmer at 28 °C although the thermal environment was still rated as acceptable but the air in the capsule was rated stuffier, the acceptability of the air quality decreased and the rated odour intensity increased at this condition. The wrist skin temperature was always higher at 28 °C with reduced ventilation but only during the sleep onset latency period. The subjects felt slightly warm and rated the air stuffier when ventilation was reduced. The present results, albeit from a small exploratory pilot study, show that increased temperature and reduced ventilation both have negative effects on sleep quality, which may have consequences for next-day performance. These pilot experiment results require validation due to the low number of subjects.
... There is sufficient evidence that individuals with better sleeping quality conduct fewer workplace errors due to better alertness and concentration (Killgore et al., 2008). Lawson and Lee (2018), in their study conducted among the nurses, found that good sleeping quality leads to high work productivity. Thus, sleep quality is important for being productive at work. ...
The over usage and over dependency on digital devices, like smartphones, has been considered as a growing international epidemic. The increased dependency on gadgets, especially smartphones for personal and official uses, has also brought many detrimental effects on individual users. Hence it is vital to understand the negative effects of smartphone usage on human. Therefore, this study aims to investigate the effects of bedtime smartphone usage on work performances, interpersonal conflicts, and work engagement, via the mediating role of sleep quality among employees. Using a cross-sectional study design, a questionnaire-based field survey was conducted on 315 employees who participated as respondents. The results confirmed the negative effects of bedtime smartphone usage on sleep quality. Along with it, the effects of sleep quality on work performances, work engagements and interpersonal conflicts were also proven to be statistically significant. Regarding the mediating role of sleep quality, it was empirically evident that sleep quality mediates the relationship between bedtime smartphone usage with work performances and interpersonal conflicts. The findings revealed that bedtime smartphone usage reduces sleep quality among the employees, resulting in lower work performances and engagements while contributing to higher interpersonal conflicts. The findings concluded that smartphone usage before sleep increases the prospects of employees to be less productive, less engaged, and have more workplace conflicts. The findings warrant the continued managerial as well as academic research attention, as the smartphones are now used by many organisations to run businesses as well.
... There is sufficient evidence that individuals with better sleeping quality conduct fewer workplace errors due to better alertness and concentration (Killgore et al., 2008). Lawson and Lee (2018), in their study conducted among the nurses, found that good sleeping quality leads to high work productivity. Thus, sleep quality is important for being productive at work. ...
The over usage and over dependency on digital devices, like smartphones, has been considered as a growing international epidemic. The increased dependency on gadgets, especially smartphones for personal and official uses, has also brought many detrimental effects on individual users. Hence it is vital to understand the negative effects of smartphone usage on human. Therefore, this study aims to investigate the effects of bedtime smartphone usage on work performances, interpersonal conflicts, and work engagement, via the mediating role of sleep quality among employees. Using a cross-sectional study design, a questionnaire-based field survey was conducted on 315 employees who participated as respondents. The results confirmed the negative effects of bedtime smartphone usage on sleep quality. Along with it, the effects of sleep quality on work performances, work engagements and interpersonal conflicts were also proven to be statistically significant. Regarding the mediating role of sleep quality, it was empirically evident that sleep quality mediates the relationship between bedtime smartphone usage with work performances and interpersonal conflicts. The findings revealed that bedtime smartphone usage reduces sleep quality among the employees, resulting in lower work performances and engagements while contributing to higher interpersonal conflicts. The findings concluded that smartphone usage before sleep increases the prospects of employees to be less productive, less engaged, and have more workplace conflicts. The findings warrant the continued managerial as well as academic research attention, as the smartphones are now used by many organisations to run businesses as well.
