Sleep Quality Of Workers Research Articles

Does work shift affect workers' sleep quality? a systematic review

Shift work in industry negatively affects the circadian cycle, resulting in impaired sleep quality (SQ), increased fatigue, attention deficits, and consequently reduced productivity and work performance. The aim of this study was to determine whether shift work affects the SQ of industrial workers, using the Pittsburg Scale as an assessment tool. This is a systematic review conducted according to the PRISMA guideline. It included studies that used the Pittsburgh scale to assess SQ, stratified the sample by work shift, written in English, original, and published in the last five years. A total of 276 studies were found, but three studies (Germany, India, and Australia) made up the review. Two of the studies reported worsening SQ in workers. The workers were aged between 18 and 41 years, and the daytime Pittsburgh scale scores ranged from 5.7 to 8.8 points, and the nighttime worker scores ranged from 3.6 to 7.8 points. The results were inconclusive, although two studies showed worse SQ in workers who perform their duties on different shifts.

Factors Associated With Poor Sleep Quality Among Primary Healthcare Workers During the SARS-CoV-2 Pandemic.

Sleep is one of the most important activities for health and the processes related to the central nervous system. Healthcare workers commonly present alterations in the sleep-wake cycle due to complex work schedules because 24-hour attention to the population is required in public health institutions. The increase in care needs caused by the COVID-19 pandemic causedchanges in work schedules; as in Mexico, the number of patients requiring consultation in all public health units increased. Chronic partial sleep deprivation (< 7 hours of sleep in the 24-hour cycle) is the most frequent sleep alteration in Mexican health workers. However, it has not been explored whether work modifications due to the pandemic had an impact on the sleep quality of workers. We aimed to describe the prevalence of poor sleep quality and the associated factors in workers (clinical and non-clinical) of a primary care medical unit. We conducted an analytical and cross-sectional studyduring November and December 2022.We used the following tools for studying clinical and non-clinical staff working at a family medicine primary care unit: Pittsburgh Sleep Quality Index, Hamilton Anxiety Scale, Beck Depression Inventory, Maslach Burnout Inventory, and Graffar-Méndez-Castellanos socioeconomic level scale, as well as a data collection sheet and a survey of workers' knowledge, attitudes, fears, and needs regarding COVID-19. A total of 233 workers were surveyed. The prevalence of poor sleep quality was 56.7%. A higher score on the Beck Depression Inventory (OR: 1.21, CI 95%: 1.13-1.29), being a doctor (OR: 3.48, CI 95%: 1.5-8.01), and frequent alcohol consumption (OR: 2.4, CI 95%: 1.13-5.2) were identified as risk factors for poor sleep quality. A lower score in the depersonalization dimension of the Maslach Burnout Inventory (OR: 0.5, CI 95%: 0.26-0.99) was identified as a protective factor for poor sleep quality. During the pandemic, the stress of health workers increaseddue to work alterations that were necessary to treat the greatest number of patients, so theirquality of sleep decreased. Unfortunately, the mental health of healthcare workers is often under-assessed in many institutions. Thus, it is relevant to identify risk factors for alterations (especially those of sleep), since by identifying the target population, comprehensive interventions can be carried out, which can reduce the prevalence of burnout, anxiety, and depression, but if not addressed, the alterations can lead to inadequate care for users of health units.

Evaluation of Sleep Quality, Work Stress and Related Factors in Hospital Office Workers.

Occupational factors, working conditions, age, gender, exercise, acquired habits, and stress affect a person's sleep quality. The aim of this study was to investigate sleep quality, work stress, and related factors among office workers in a hospital. This cross-sectional study was conducted with office workers actively working in a hospital. A questionnaire consisting of a sociodemographic data form, the Pittsburgh Sleep Quality Index (PSQI), and Swedish Workload-Control-Support Scale were used to assess the participants. Results:The mean of PSQI score was 4.32±2.40 and 27.2% of the participants had poor sleep quality. In the multivariate backward stepwise logistic regression analysis, it was found that shift workers were 1.73 times (95% CI: 1.02-2.91) more likely to have poor sleep quality, and a one-unit increase in work stress score increased the risk of having poor sleep quality by 2.59 times (95% CI: 1.37-4.87). An increase in age was found to decrease the risk of poor sleep quality in workers (OR =0.95; 95% CI: 0.93-0.98). This study suggests that reducing workload and increasing work control as well as enhancing social support will be effective in preventing sleep disturbances. It is important, however, in terms of providing guidance for hospital employees in planning future measures to improve working conditions.

The relationship between iron deficiency anemia with restless leg syndrome and sleep quality in workers working in a textile factory in Iran: a cross-sectional study

BackgroundThe aim of this study is to investigate the relationship between iron deficiency anemia with restless leg syndrome (RLS) and sleep quality in workers working in a textile factory in Iran. This cross-sectional study was conducted on 216 workers working in a textile factory in Iran. In addition to demographic and occupational variables, Pittsburgh Sleep Quality Index (PSQI) and RLS questionnaires were used for the data collection. To investigate iron deficiency anemia, 2 CC of blood was taken from the brachial artery with the help of a 10-CC syringe with a blue or pink tip. Then, relevant data were entered into SPSS26 and analyzed.ResultsThe mean (S. D.) age of the workers was 32.23 (6.14) and 60.6% of them were women. The prevalence of iron deficiency anemia was 21.2 and 69.5% in men and women, respectively. Most of the workers were in moderate condition in terms of RLS severity, and 78.2% had sleep disorders. There was an inverse and significant correlation between age (β= −0.200), work experience (β= −0.160), hemoglobin (β= −0.149), and ferritin (β= −0.186) with global PSQI score (P value<0.05). Also, an inverse and significant correlation was observed between age (β= −0.164), hemoglobin (β= −0.548), and ferritin (β= −0.410) with RLS score (P value<0.05). However, there was a direct and significant correlation between TIBC level and RLS score (β= 0.227) and global PSQI score (β= 0.395) (P value<0.05).ConclusionsIntervention programs to reduce iron deficiency anemia and periodic screening programs to identify sleep disorders and RLS in textile factory workers seem necessary.

Association of Polycyclic Aromatic Hydrocarbons exposure with sleep quality among coking plant workers

Objective: To explore the relationship between polycyclic aromatic hydrocarbons (PAHs) exposure and sleep quality in workers from a coking plant. Methods: From April to June 2019. Selected 632 employed workers in the coking plant of a large state-owned enterprise in Shanxi Province as the exposed group, and 477 employed workers in the water-pump plant belonged to the same enterprise as the control group. We used self-designed questionnaires to collect the basic information of subjects. We measured the concentrations of 12 PAHs in the peripheral blood of workers using gas chromatography-mass spectrometry (GC-MS) ; Pittsburgh Sleep Quality Index (PSQI) was used to evaluate the sleep quality of workers; The relationship between plasma PAHs concentration and sleep quality was analyzed using multiple linear regression model, restricted cubic spline (RCS) regression and logistic regression. Results: The concentration of 12 polycyclic aromatic hydrocarbons in the peripheral blood of the exposure group was (2.36±1.46) ng/ml, which was significantly higher than that of the control group (2.19±1.21) ng/ml. The detection rate of sleep disorder in the exposure group (18.0%) was higher than that in the control group (16.8%) , which was manifested by the significantly increased scores in subjective sleep quality, sleep latency, sleep disorders, daytime dysfunction, and PSQI. Multiple linear regression analysis showed that the PSQI score of workers in the high exposure group decreased by 0.80 (95% CI: -1.40~-0.19) points compared with the low exposure group, with a statistically significant difference (P<0.05) . RCS analysis showed a non-linear dose-response relationship of PSQI score with PAHs cumulative exposure (plasma PAHs concentration multiplied by length of service) . The results of logistic regression showed that compared with the low level group, the risk of somnipathy in the middle level group of PAHs cumulative exposure decreased by 44%, among which the risk of sleep disorder in the drinkers decreased by 40%, while the risk of somnipathy in the high level group increased by 96% compared with the low level group. Stratified analysis of alcohol drinking habit showed non-significant difference in PSQI score with low, medium, and high levels of PAHs cumulative exposure in non-drinkers (P>0.05) , and that the PSQI score was significantly increased in alcohol drinkers with high level of PAHs cumulative exposure compared to those with low and medium levels of PAHs cumulative exposure. Conclusion: The workers in the coking plant had high levels of PAHs in plasma and poor sleep quality, Higher level of PAHs cumulative exposure (>1396.56ng/ml) is a risk factor of poor sleep quality.

Effects of Work Stress and Period3 Gene Polymorphism and Their Interaction on Sleep Quality of Non-Manual Workers in Xinjiang, China: A Cross-Sectional Study.

Work stress has been found to be associated with sleep quality in various occupational groups, and genetic factors such as variable number tandem repeat polymorphism in the Period3 (Per3) gene also influence the circadian sleep-wake process. Therefore, the present study aimed to evaluate the sleep quality status of non-manual workers in Xinjiang, China and to analyse the effects of work stress and Per3 gene polymorphism and their interaction on sleep quality. A cluster sampling method was used to randomly select 1700 non-manual workers in Urumqi, Xinjiang. The work stress and sleep quality of these workers were evaluated using the Effort–Reward Imbalance Inventory (ERI) and the Pittsburgh Sleep Quality Index (PSQI). Next, 20% of the questionnaire respondents were randomly selected for genetic polymorphism analysis. The polymerase chain reaction-restriction fragment length polymorphism technique was used to determine Per3 gene polymorphism. The detection rate of sleep quality problems differed between the different work stress groups (p < 0.05), suggesting that non-manual workers with high levels of work stress are more likely to have sleep quality problems. Regression analysis revealed that the Per3 gene (OR = 3.315, 95% CI: 1.672–6.574) was the influencing factor for poor sleep quality after adjusting for confounding factors, such as occupation, length of service, education, and monthly income. Interaction analysis showed that Per34/5,5/5 × high work stress (OR = 2.511, 95% CI: 1.635–3.855) had a higher risk of developing sleep quality problems as compared to Per34/4 × low work stress after adjusting for confounding factors. The structural equation modelling showed no mediating effect between work stress and Per3 gene polymorphism. The results of this study show that both work stress and Per3 gene polymorphism independently affect sleep quality of nonmanual workers from Xinjiang, and the interaction between these two factors may increase the risk of sleep quality problems. Therefore, to improve sleep quality, individuals with genetic susceptibility should avoid or reduce as much as possible self-stimulation by work-related exposures such as high levels of external work stress.

ANALISIS PENGARUH TINGKAT KEBISINGAN PADA STASIUN STERILIZER TERHADAP KUALITAS TIDUR OPERATOR

Palm Oil Mill PT. Surya Intisari Raya, Sei Lukut is a plantation company engaged in the commodity palm oil FFB (Fresh Fruit Bunches), with output in the form of CPO (Crude Palm Oil) and Palm Kernel (PK). There are 13 processing stations at PKS that have high noise levels, one of which is a sterilizer station which can disrupt operator psychology, namely Sleep Disturbance. In the field survey, it was found that operators experienced concentration problems such as drowsiness, and not all of them used ear protection in the form of earplugs/earmuffs. Therefore, it is necessary to identify the noise level at the sterilizer station and to analyze its effect on the operator's sleep quality using an observational analytic cross-sectional approach. Noise in the workplace was measured using a sound level meter and the sleep quality of workers was measured using the Pittsburgh Sleep Quality Index (PSQI) questionnaire. Based on the results of noise level measurements, 4 processes have noise above the Threshold Limit Value, namely Deaeration of 89.824 dB, Containment of 92.548 dB, Peak BlowDown by 2 of 96.45 dB, and Final of 102.77 dB. Based on the results of the Pittsburgh Sleep Quality Index (PSQI) questionnaire, 100% of Morning Shift and Night Shift workers have poor sleep quality. To overcome this problem, several suggestions were made, namely to carry out periodic health checks for operators, ensure that operators who are exposed to noise always wear an earplug/earmuff, and minimize exposure to noise above the NAB to operators by keeping noise points away from the operator's premises.

Effects of Occupational Stress and Circadian CLOCK Gene Polymorphism on Sleep Quality of Oil Workers in Xinjiang, China.

BackgroundThis study investigated the effect of occupational stress and circadian clock gene polymorphism on sleep disorder of oil workers in Xinjiang, China.Material/MethodsWe enrolled 2300 Xinjiang oil workers who had been working for at least 1 year. The Chinese revised version of the Occupational Stress Questionnaire (OSI-R), the Pittsburgh Sleep Quality Index (PSQI), and General Survey Questionnaire were used. A total of 308 subjects were selected for stress hormone measurements and gene polymorphism analysis of the circadian clock genes CLOCK, PER2, and PER3.ResultsThe occupational stress scores were influenced by sex, smoking, marital status, age, and work type. Different work shift groups and different professional title groups had statistically significant sleep disorder incidences (P<0.05). The middle and high occupational stress groups had significantly higher subjective sleep quality, total PSQI scores, daytime dysfunction factor scores, and sleep disorder than in the low occupational stress group (P<0.05). CLOCK gene rs1801260 locus carrying TC genotype (OR=0.412, 95% CI=0.245–0.695), and CLOCK gene rs6850524 locus carrying GC and CC genotypes decreased sleep disorder risk (OR1=0.357, 95% CI1=0.245–0.695; OR2=0.317, 95% CI2=0.128–0.785). The main factors affecting the sleep quality of oil workers were length of service, individual strain capacity, glucocorticoid levels, Per3 gene, and the rs6850524 loci of CLOCK gene.ConclusionsOccupational stress has an adverse effect on the sleep quality of workers. CLOCK gene and Per3 gene may increase risk of sleep disorders.

Heavy mental workload increase poor sleep quality in informal garment workers

Background Sleep is needed by the human body so that the performance of body remains optimal when the body is awake, especially during work. Informal workers often work without clear regulations, with inadequate equipment and poor work environment, and pay little attention to occupational health and safety factors. The existence of large work demands with unclear work system arrangements will certainly result in a mental workload in these workers. The objective of this study was to determine the relationship between mental workload and sleep patterns of workers in the informal garment sector. MethodsA cross-sectional study involving 225 informal garment workers was conducted between December 2018 and May 2019. Data collection included respondents’ demographics, job characteristics, measurement of mental burden and disturbances in sleep patterns. The sleep pattern used the PSQI (Pittsburgh Sleep Quality Index) instrument and the mental burden used the Rating Scale Mental Effort (RSME). A multiple linear regression analysis was used to analyze the data. ResultsThe mean sleep quality was 5.40 ± 2.54. Multiple linear regression test found that mental workload correlated significantly with sleep quality of workers (β=0.016, p=0.012).ConclusionThis study demonstrated that heavy mental workload decreases the quality of sleep in informal garment workers. A good work system management is required so that workers are assigned that portion of the task that is commensurate with their capacity.

Insomnia affects future development of depression in workers: a 6-year cohort study.

ABSTRACTThe purpose of this study was to investigate the relationship between insomnia and future risk of developing depression. This was a 6-year cohort survey from 2011 to 2017. A questionnaire was conducted with male workers in a manufacturing industry. The questions included the Center for Epidemiologic Studies Depression Scale (CES-D) for evaluating depression and the Athens Insomnia Scale (AIS) for rating insomnia. Data from 1,332 daytime workers aged less than 60 years who had no depressive symptoms at baseline were analyzed. The risk of developing depression in the future was associated with insomnia at baseline, after adjusting for age (hazard ratio [HR] 1.64). Even after adjusting for the covariances of job type, living with family, sleeping time, and undergoing treatment or taking medication, insomnia was associated with the onset of future depression (HR 1.58). In addition, the HR increased as the total AIS score increased: total AIS score 1–3 points (HR 1.99; 95% CI 1.23–3.22), 4–5 points (HR 3.58; 95% CI 2.18–5.89), and 6 points and above (HR 4.24; 95% CI 2.49–7.21). The risk of developing depression in the future increased in correlation with greater severity of insomnia at baseline, suggesting that even slight insomnia can be a risk of future developing depression. It may be important to measure the level of insomnia using an indicator such as AIS, and to improve sleep quality in workers to prevent depression.

Exposure to lead and its effect on sleep quality and digestive problems in soldering workers.

Some studies show that exposure to lead affects sleep quality and causes digestive disorders. The aim of this study was to evaluate the quality of sleep and digestive disorders in solderers exposed to lead. In a cross-sectional study, the occupational exposure of 40 soldering workers to lead fume and their blood lead levels were measured in the electronics industry of Neyshabur city, according to standard methods. The sleep quality of workers was measured by the Pittsburgh Sleep Quality Index (PSQI) questionnaire and their digestive disorders were recorded in a checklist. This study showed that 67.5% of subjects had poor sleep quality. There was a significant relation between sleep quality, air lead (p = 0.02), and blood lead (p = 0.03). Bad sleep quality was 2.4 times higher in subjects exposed to lead above the threshold (p = 0.03). 92.5% of the population under study suffered from at least one digestive disorder. Digestive disorders such as hiccupping (85%) and nausea (67%) were more common among the workers, and their odds was 3.09 and 2.00 times higher in workers exposed to lead above the threshold, compared with others. Bad sleep quality and gastrointestinal disorders were prevalent among workers exposed to lead. The results of this study confirm the need for further research about the side effects of lead on humans. It also clarifies the need for a revision in the recommended occupational exposure level for lead.

Pulmonary exposure to metal fume particulate matter cause sleep disturbances in shipyard welders.

Sleep disorders may pose a risk to workers in the workplace. We aimed to investigate the associations between metal fume fine particulate matter (PM2.5) and sleep quality in workers. We assessed the effects of personal exposure to metal fume PM2.5 on lung functions, urinary biomarkers, and sleep quality in shipyard welding workers. In total, 96 welding workers and 54 office workers were recruited in the present study; office workers were exposed to 82.1±94.1μg/m3 PM2.5 and welding workers were exposed to 2166.5±3149.1μg/m3. Welding workers had significantly lower levels of FEV25-75 than office workers (p<0.05). An increase in 1μg/m3 PM2.5 was associated with a decrease of 0.003ng/mL in urinary serotonin (95% CI=-0.007-0.000, p<0.05) in all workers and with a decrease of 0.001ng/mL in serotonin (95% CI=-0.004-0.002, p<0.05) in welding workers, but these were not observed in office workers. There was no significant association of PM2.5 with urinary cortisol observed in any workers. Urinary serotonin was associated with urinary Cu, Mn, Co, Ni, Cd, and Pb. Urinary cortisol was associated with Cu, Mn, Co, Ni, Cd, and Pb. Sixteen subjects were randomly selected from each of the office and welding workers for personal monitoring of sleep quality using a wearable device. We observed that welding workers had greater awake times than did office workers (p<0.05). Our study observed that exposure to heavy metals in metal fume PM2.5 may disrupt sleep quality in welding workers.

Comparison of sleep quality based on direction of shift rotation in electronics workers.

BackgroundPrevious studies have reported the effects of direction of shift rotation on sleep, however, the findings are inconsistent. In this study, we investigated sleep quality related to direction of shift rotation using large-scale data from shiftwork-specific health examinations of electronics workers.MethodsThis study included 4750 electronics workers working in a rotating 3-shift system who completed a medical examination for shift workers survey from January 1 to December 31, 2014, at a general hospital. The subjects were categorized into one of two groups according to direction of shift rotation. We compared sleep quality index between the subjects who worked in forward rotation and backward rotation systems.ResultsBackward rotation was positively associated with prevalence of poor sleep quality. In the multivariable-adjusted model, when comparing backward rotation to forward rotation, the odds ratio (OR) with 95 % confidence interval (95 % CI) for poor sleep quality was 1.95 (1.58–2.41). After stratifying by gender, the ORs (95 % CIs) for poor sleep quality in male and female was 1.92 (1.47–2.49) and 2.13 (1.47–3.08), respectively. In subgroup analyses, backward rotation was significantly associated with poor sleep quality in workers ≥30 years of age compared with workers <30 years of age (adjusted OR 2.60 vs. 1.89, respectively; P for interaction <0.001).ConclusionsOur study supports that a backward rotation system is associated with poor sleep quality. Forward rotation systems should be considered to reduce sleep problems.

Blood lead levels and sleep quality in workers of lead–zinc companies

Blood lead levels and sleep quality in workers of lead–zinc companies

Randomized Controlled Trial on the Effects of a Combined Sleep Hygiene Education and Behavioral Approach Program on Sleep Quality in Workers with Insomnia

To evaluate the effects of a combined sleep hygiene education and behavioral approach program on sleep quality in workers with insomnia, we conducted a randomized controlled trial at a design engineering unit in Japan. Employees evaluated for insomnia by the Athens Insomnia Scale (≥6 points) were divided into an intervention and control group. The intervention group received a short-term intervention (30 min) program that included sleep hygiene education and behavioral approaches (relaxation training, stimulus control, and sleep restriction) performed by occupational health professionals. We calculated differences in change in Pittsburgh Sleep Quality Index (PSQI) scores between the two groups from baseline to three months after the start of intervention after adjusting for gender, age, job title, job category, average number of hours of overtime during the study period, marital status, smoking habit, average number of days of alcohol consumption per week, exercise habits, K6 score, and baseline PSQI score. Results showed that the average PSQI score decreased by 1.0 in the intervention group but increased by 0.9 in the control group. Additionally, the difference in variation between the two groups was 1.9 (95% confidence interval: 0.6 to 3.4), which was significant. Taken together, these results indicate that the intervention program significantly improved the sleep quality of workers with insomnia.