Factors related with quality on sleep of daytime workers

Vegetarians have an indirect positive effect on sleep quality through depression condition

This study aimed to assess the association between a vegetarian diet and sleep quality among Chinese healthy adults and explore potential contributing factors. A cross-sectional study was conducted with 280 vegetarians and 280 age- and sex-matched omnivores from Shanghai, China. The Pittsburgh Sleep Quality Index (PSQI) and the Central Depression Scale (CES-D) were used to assess sleep and depression condition, respectively. A validated semi-quantitative food frequency questionnaires (SQFFQ) was employed to assess dietary intakes, and body composition was measured with InBody720. Multi-linear regression and logistic regression analysis were performed for the data analysis. The sleep quality was significantly better in the vegetarians than in the omnivores (PSQI score: 2.80 ± 2.02 vs. 3.27 ± 1.90, p = 0.005). The proportion of vegetarians who reported self-satisfied sleep was also higher than that of the omnivores (84.6% vs. 76.1%, p = 0.011). However, after adjusted for the depression condition (CES-D scores), the difference in sleep quality between vegetarians and omnivores became insignificant (p = 0.053). Compared to omnivores, vegetarians had lower depression scores (CES-D: 9.37 ± 6.24 vs. 10.94 ± 7.00, p = 0.006). After controlling for confounding factors, there was positive association between depression condition and sleep quality (β = 0.106, 95%CI: 0.083 to 0.129, p < 0.001). Similarly, participants with better CES-D score had a lower risk of sleep disorders after controlling for the same confounding factors (OR = 1.109, 95%CI: 1.072 to 1.147, p < 0.001). Different contributing factors were reported in the vegetarian group and omnivore group. In conclusion, a vegetarian diet might improve sleep quality by moderating mental health, particularly depression condition.

Association of sleep characteristics and respiratory symptoms at a smelting factory

BACKGROUND: Sleep disturbance including insomnia and poor sleep quality has been shown to be a major health determinant in occupational settings. Specific occupational exposures to hazards in most workplaces can lead to various health problems, especially sleep problems. OBJECTIVE: The study aimed to investigate sleep characteristics, and their relationships with work-related exposures, demographics, and other related variables in workers of a smelting factory. METHODS: This cross-sectional study was carried out on workers in a 40-year smelting factory located in the East of Tehran Province. A total of 200 male participants were included in the study. Among them, 51 workers were from the production process staff and the rest were office workers. Their shifts were from 6 AM to 5 PM. All participants were asked about demographic characteristics and exposure to respiratory pollutants. All participants answered validated Persian versions of the Insomnia Severity Index (ISI) and the Pittsburgh Sleep Quality Index (PSQI). RESULTS: The means (SD) of age and BMI were 39.1 (8.9) years and 26.8 (4.5) kg/m2, respectively. Among all participants, 51 (25.5%) experienced exposure to a respiratory pollutant. Among all workers, 96 (48%) experienced poor sleep quality and 87 (43.5%) and 10 (5%) had subthreshold and clinical insomnia, respectively. The mean (SD) night sleep duration was 6.4 (0.96) hours. Data analysis illustrated a significant positive relationship between exposure to respiratory pollutants and insomnia (p-value = 0.03). Howewer, this association between sleep quality and exposure to repiratory pollutants was not significant (p-value = 0.25). Further analysis with binominal regression showed participants with exposure to respiratory pollutants were more susceptible to clinical insomnia (p-value = 0.02, exp(B) = 0.213), and after regressing out the effect of smoking, participants with exposure to respiratory pollutants remained susceptible to clinical insomnia. A lower night sleep duration was observed among participants with exposure to inhalational material (p-value = 0.05). CONCLUSIONS: Occupational exposures to hazardous material, including inhalational exposures, could cause sleep disturbance, which warrants more attention paid by sleep specialists.

Poor Sleep Quality and Daytime Sleepiness in Health Professionals: Prevalence and Associated Factors

This study aimed to examine the prevalence rates of poor quality sleep and daytime sleepiness in health professionals and their association with socioeconomic, lifestyle, and anthropometric factors and psychosocial work conditions. This cross-sectional study was performed with health professionals from various public and private hospitals in Rio Verde, Goiás, Brazil. Daytime sleepiness and sleep quality were assessed using the Epworth Sleepiness Scale and the Pittsburgh Sleep Quality Index, respectively. The variables were analyzed using multiple hierarchical Poisson regression in the statistical package Stata version 13.0. A total of 244 health professionals participated in this study (women, 78.28%). The rates of abnormal daytime sleepiness and poor sleep quality were 50.41% (n = 123) and 55.74% (n = 136), respectively. Reduced physical activity was associated with poor sleep quality (prevalence ratio (PR) = 1.32; 95% confidence interval (CI) 1.02–1.70, p = 0.035). Age between 20 and 29 years (PR = 2.59; 95% CI 1.37–4.91, p = 0.021) and 30 and 49 years (PR = 2.09; 95% CI 1.12–3.91, p = 0.021), as well as excessive alcohol consumption (PR = 1.29; 95% CI 1.01–1.66, p = 0.048), were risk factors for daytime sleepiness. Conversely, adequate bodyweight (PR = 0.52; 95% CI 0.33–0.82, p = 0.005) was considered a protective factor. The present findings suggest high rates of abnormal daytime sleepiness and poor sleep quality among healthcare professionals. We emphasize the importance of physical activity, adequate weight, and healthy habits for better quality sleep and reduced daytime sleepiness.

Exploration of individualized goals and ergonomic modifications to address sedentary behaviors and perceived health and well-being among office workers

BACKGROUND

Office workers spend significant time in sedentary behaviors. Exploration of interventions to address this concern is warranted.

OBJECTIVE

This study explored the impact of individualized goals and ergonomic modifications on sedentary behaviors and perceived health and well-being among office workers.

METHODS

A six-week, one-group, pre- and post-test design was utilized to assess sedentary behaviors and perceptions of health and well-being among office workers using the RAND 36-Item Short Form Survey (SF-36), Numerical Pain Rating Scale (NPRS), Pittsburgh Sleep Quality Index (PSQI), Sedentary Behavior Questionnaire (SBQ), actigraphy, and a workstation assessment.

RESULTS

Statistically significant improvements were noted from pre- to post-test on the RAND SF-36 for energy/fatigue (p = 0.000) and emotional well-being (p = 0.049) and subjective sleep quality using the PSQI (p = 0.005). Participants (n = 17) could set up to two goals related to health and well-being. A majority of the 31 established goals were met: increase physical activity (n = 11/16), reduce sedentary behavior (n = 8/11), and improve personal health (n = 3/4).

CONCLUSIONS

The use of individualized goals and ergonomic modifications is effective for addressing perceived health and well-being among office workers. However, limited statistical significance was found regarding the impact of these interventions on sedentary behaviors or activity levels.

Sleep Quality and Health-Related Quality of Life in Workers of Kermanshah Industrial Town: A Correlation Study

Background:

Sleep Quality (SQ) is one of the most important predictors of quality of life in individuals. This study was conducted to evaluate the quality of life and SQ of industrial male workers in Kermanshah.

Materials and Methods:

In this cross-sectional study, 404 male workers selected by stratified sampling in the Kermanshah Industrial Town participated. The research questionnaires included demographic information checklist, the 36-Item Short-Form Health Survey (SF-36), and the Pittsburgh Sleep Quality Index (PSQI). Data were analyzed by SPSS18 software, using descriptive statistics, Pearson's correlation, and partial correlation tests.

Results:

The mean age of respondents was 35.33 ± 7.31; ranged from 20 to 62 years old. The mean score of mental health and physical health were 55.01 ± 21.62 and 54.96 ± 21.93, respectively. Out of all participants, 58.6% of participants had a score of 50 or less in terms of health-related quality of life (HRQL). Two dimensions of subjective SQ (1.48 ± 0.97) and sleep duration (1.48 ± 0.97) had the worst mean score, and sleep efficiency (0.05 ± 0.3) had the most favorable mean score. The results of the Pearson's correlation test showed that the total score of SQ had a negative and significant correlation with the main dimensions of quality of life (P < 0.001). The highest correlation was found between physical pain (r = 0.350) and mental health (r = 0.332) with SQ.

Conclusion:

This study showed that more than half of the workers reported poor HRQL. Besides, a considerable number of workers had some degree of sleep disorders. The results of the study showed that there is a moderate correlation between SQ and HRQL.

Shift rotation, circadian misalignment and excessive body weight influence psychomotor performance: a prospective and observational study under real life conditions

We aimed to evaluate the influence of shift work rotation, circadian misalignment and being overweight/obese on psychomotor performance throughout a complete shift rotation schedule. The study was conducted with 30 males working rotating shifts from a mining company under real life conditions. Individuals were evaluated over seven days in a shift schedule carried out as follow: two shifts in the morning (D1 and D2), two shifts in the afternoon (D3 and D4), 24 hour free day (D5) and two shifts at night (D6 and D7). Work performance was evaluated by psychomotor vigilance task tests (PVT), and actigraphy was used to characterise the rest-activity rhythm based on intradaily variability (IV) and interdaily stability (IS) of nonparametric functions. We found a significant effect of the shift, body mass index (BMI), IS and IV on lapses in attention. More lapses occurred on D7 than D1, D2, D3 and D4 of the schedule shift. The obese group presented a higher number of lapses in attention than eutrophic. The interaction between day and IS showed that less synchronised individuals presented a higher number of lapses in attention on D7 than D1 and, for the interaction between day and IV, more fragmented individuals presented a higher number of lapses in attention on D7 than D6. We conclude that higher BMI, lower synchronisation and higher fragmentation of the rest-activity pattern influenced lapses in attention throughout the shift rotation.