Workplace sleepiness: causes, consequences and countermeasures

Sleep deprivation is an epidemic problem in our society that adversely affects the quality and safety of our daily lives. At home and on the job, inadequate sleep is associated with considerable social, financial, and health-related costs, due to instability of waking functions. Research has shown that, sleep deprivation among workers, whether from sleep disorders, lifestyle or shift work, can hinder the proper performance, and in extreme cases may pose hazard to the workers themselves and their environment. Deficits in daytime performance can have profound effects in the processing industry where workers are often required to perform monotonous tasks that provide low levels of stimulation but also involve critical decision making and problem solving skills. This study provides a comprehensive literature review of the current scientific research efforts in order to promote a better understanding of the relationship between sleep deprivation, productivity, performance, health and safety of the organizations. It highlights the consequences of insufficient sleep for workplace functioning and the ways in which workplace characteristics and lifestyle choices may affect sleep quality and quantity. Moreover, the adverse impact of poor sleep on organizations has been addressed through deficits in attention, concentration, memory, cognitive functioning and reaction time as well as increased incidence of anxiety, lower motivation and poor social relationship. Findings indicate that such destabilized behavioral outcomes can lead to increased rates of performance losses, absenteeism, physical or psychological injuries in addition to human errors and accidents. Finally a variety of countermeasure strategies including caffeine, bright light, exercise, task design, sleep education and scheduling policies are discussed as potential measures to maintain workers\u27 alertness and performance. A preliminary survey is also presented in order to explore the performance of individuals in industrial settings and the potential impact of inadequate sleep. The results indicate the need for further research on workplace sleepiness and the potential issues to consider. It is important for managers to take such human limitations into consideration in order to decrease errors, reduce job dissatisfaction and improve organizational productivity and safety. --Abstract, page iv

Managing Sleep Deprived Workers

Sleep deprivation is pervasive in modern society. Many occupations require people to work effectively for long hours, often performing monotonous tasks. As a result individuals demonstrate poorer performance which not only affects individuals\u27 physical and mental wellbeing but also puts productivity and safety at risk which can result in significant costs. Sleep deprivation among workers, whether chronic or acute, whether from disorders, lifestyle or shift works, poses severe issues for engineering managers. Micro sleeps, sleep attacks, and lapses in cognition can be common for individuals suffering from sleep loss. These human behaviors can lead to increased risk of human error, accidents, and performance losses. Research has shown that sleep related fatigue influences a wide range of human abilities such as vigilance, communication, information integration, and reasoning abilities that can impair safety in operational settings were workers are often involved with critical decision making and problem solving skills. This paper summarizes biological factors associated with sleep and sleep loss (i.e. common performance decrements, sleep cycles, circadian rhythms, and sleep apnea). It describes how managerial decision such as scheduling policies, task design, and working conditions can be used to minimize fatigue and sleepiness in workplace. In addition a variety of countermeasure strategies including caffeine, healthy diet, bright light, exercise, and good sleep habits are discussed as potential measures to maintain workers\u27 alertness and performance. A preliminary survey of individual\u27s perception of these countermeasures is also presented. This information can help engineering managers improve worker performance and reduce job dissatisfaction caused by sleep deprivation and improve organizational productivity, performance, and safety

Global age-sex-specific mortality, life expectancy, and population estimates in 204 countries and territories and 811 subnational locations, 1950–2021, and the impact of the COVID-19 pandemic: a comprehensive demographic analysis for the Global Burden of Disease Study 2021

BackgroundEstimates of demographic metrics are crucial to assess levels and trends of population health outcomes. The profound impact of the COVID-19 pandemic on populations worldwide has underscored the need for timely estimates to understand this unprecedented event within the context of long-term population health trends. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021 provides new demographic estimates for 204 countries and territories and 811 additional subnational locations from 1950 to 2021, with a particular emphasis on changes in mortality and life expectancy that occurred during the 2020–21 COVID-19 pandemic period.Methods22 223 data sources from vital registration, sample registration, surveys, censuses, and other sources were used to estimate mortality, with a subset of these sources used exclusively to estimate excess mortality due to the COVID-19 pandemic. 2026 data sources were used for population estimation. Additional sources were used to estimate migration; the effects of the HIV epidemic; and demographic discontinuities due to conflicts, famines, natural disasters, and pandemics, which are used as inputs for estimating mortality and population. Spatiotemporal Gaussian process regression (ST-GPR) was used to generate under-5 mortality rates, which synthesised 30 763 location-years of vital registration and sample registration data, 1365 surveys and censuses, and 80 other sources. ST-GPR was also used to estimate adult mortality (between ages 15 and 59 years) based on information from 31 642 location-years of vital registration and sample registration data, 355 surveys and censuses, and 24 other sources. Estimates of child and adult mortality rates were then used to generate life tables with a relational model life table system. For countries with large HIV epidemics, life tables were adjusted using independent estimates of HIV-specific mortality generated via an epidemiological analysis of HIV prevalence surveys, antenatal clinic serosurveillance, and other data sources. Excess mortality due to the COVID-19 pandemic in 2020 and 2021 was determined by subtracting observed all-cause mortality (adjusted for late registration and mortality anomalies) from the mortality expected in the absence of the pandemic. Expected mortality was calculated based on historical trends using an ensemble of models. In location-years where all-cause mortality data were unavailable, we estimated excess mortality rates using a regression model with covariates pertaining to the pandemic. Population size was computed using a Bayesian hierarchical cohort component model. Life expectancy was calculated using age-specific mortality rates and standard demographic methods. Uncertainty intervals (UIs) were calculated for every metric using the 25th and 975th ordered values from a 1000-draw posterior distribution.FindingsGlobal all-cause mortality followed two distinct patterns over the study period: age-standardised mortality rates declined between 1950 and 2019 (a 62·8% [95% UI 60·5–65·1] decline), and increased during the COVID-19 pandemic period (2020–21; 5·1% [0·9–9·6] increase). In contrast with the overall reverse in mortality trends during the pandemic period, child mortality continued to decline, with 4·66 million (3·98–5·50) global deaths in children younger than 5 years in 2021 compared with 5·21 million (4·50–6·01) in 2019. An estimated 131 million (126–137) people died globally from all causes in 2020 and 2021 combined, of which 15·9 million (14·7–17·2) were due to the COVID-19 pandemic (measured by excess mortality, which includes deaths directly due to SARS-CoV-2 infection and those indirectly due to other social, economic, or behavioural changes associated with the pandemic). Excess mortality rates exceeded 150 deaths per 100 000 population during at least one year of the pandemic in 80 countries and territories, whereas 20 nations had a negative excess mortality rate in 2020 or 2021, indicating that all-cause mortality in these countries was lower during the pandemic than expected based on historical trends. Between 1950 and 2021, global life expectancy at birth increased by 22·7 years (20·8–24·8), from 49·0 years (46·7–51·3) to 71·7 years (70·9–72·5). Global life expectancy at birth declined by 1·6 years (1·0–2·2) between 2019 and 2021, reversing historical trends. An increase in life expectancy was only observed in 32 (15·7%) of 204 countries and territories between 2019 and 2021. The global population reached 7·89 billion (7·67–8·13) people in 2021, by which time 56 of 204 countries and territories had peaked and subsequently populations have declined. The largest proportion of population growth between 2020 and 2021 was in sub-Saharan Africa (39·5% [28·4–52·7]) and south Asia (26·3% [9·0–44·7]). From 2000 to 2021, the ratio of the population aged 65 years and older to the population aged younger than 15 years increased in 188 (92·2%) of 204 nations.InterpretationGlobal adult mortality rates markedly increased during the COVID-19 pandemic in 2020 and 2021, reversing past decreasing trends, while child mortality rates continued to decline, albeit more slowly than in earlier years. Although COVID-19 had a substantial impact on many demographic indicators during the first 2 years of the pandemic, overall global health progress over the 72 years evaluated has been profound, with considerable improvements in mortality and life expectancy. Additionally, we observed a deceleration of global population growth since 2017, despite steady or increasing growth in lower-income countries, combined with a continued global shift of population age structures towards older ages. These demographic changes will likely present future challenges to health systems, economies, and societies. The comprehensive demographic estimates reported here will enable researchers, policy makers, health practitioners, and other key stakeholders to better understand and address the profound changes that have occurred in the global health landscape following the first 2 years of the COVID-19 pandemic, and longer-term trends beyond the pandemic