Seasonal Variation in Bright Daylight Exposure, Mood and Behavior among a Group of Office Workers in Sweden

Effects of outdoor artificial light at night on human health and behavior: A literature review

The quality of life of human beings has improved tremendously through improved productivity, convenience, safety, and livability due to nighttime lights that illuminate outdoor work, leisure, and mobility. Recently, however, concerns have been growing over outdoor artificial light at night (ALAN) and its effects on human beings as well as ecosystems including animals and plants. This literature review aims to deliver a critical overview of the findings and the areas for future research on the effects of outdoor ALAN on human health and behaviors. Through a narrative literature review, we found that scientific research crucially lacks studies on the effects of outdoor ALAN on human behaviors and health, including social interaction, which may be more widespread compared to what is recognized so far. This review also highlights the importance of investigating the causal and complex relationships between outdoor ALAN, health, and behaviors with sleep as a key mediating factor. We elucidate that outdoor ALAN has both positive and negative effects on human life. Therefore, it is important for societies to be able to access facts and evidence about these effects to plan, agree to, and realize the optimal usage of nighttime lighting that balances its merits and demerits. Researchers in related areas of study must investigate and deliver the science of outdoor ALAN to various stakeholders, such as citizens, policymakers, urban and landscape planners, relevant practitioners, and industries. We believe that our review improves the understanding of outdoor ALAN in relation to human life and contributes to sustainable and thriving societies.

Evaluation of Daylight Perception Assessment Methods

Daylight is an important component in maintaining human health and wellbeing and plays a key role in physiological, psychological, and behavioural regulation. Understanding the complexity of daylight perception is vital since the degree of satisfaction with daylight conditions could greatly impact individual mood, behaviour and cognitive performance. This paper aims at (1) presenting an overview of current knowledge on methods for assessing daylight perception and (2) establishing a methodology for assessing daylight perception in the context of cultural background. An experiment was conducted with 50 students who were instructed to select the best and worst seats, describe the best desks’ daylight conditions and draw boundary lines between perceived daylit and non-daylit spaces in a library. The study showed that subjective rating and seat preference methods were consistent with actual daylight levels. However, participants’ boundary lines did not represent the actual daylight availability in the space. The study suggests that individual daylight perception in the context of cultural background can be assessed using the subjective rating and seat preference methods.

Operating room nurses' experiences of limited access to daylight in the workplace - a qualitative interview study

Background

The operating room nurse is, among other things, responsible for patient safety and maintaining an aseptic environment. For hygienic reasons unnecessary traffic in the operating room should be avoided, which may mean that the operating room nurse works long shifts without relief. Operating departments are usually separated, where there might be no daylight opportunities in the operating room. The purpose of the study was to describe operating room nurses’ experiences of limited access to daylight in the workplace.

Method

Qualitative design with four semi-structured focus groups of totally 15 operating room nurses. The analysis was performed with a content analysis with an inductive approach.

Results

The study generated two main categories, difference in light and contact with the outer world. Operating room nurses felt that daylight affected them differently from the light from lamps, where daylight was considered important for experiencing well-being. Daylight could lead to a sensation of joy but also increased awareness and energy which seemed to improve the ability to perform at work. The limited access to daylight contributed to fatigue and led to an internal stress that affected the nurses even after work. Having opportunities to look out through windows under a workday was important to experience contact with the outside world and created a sense of time.

Conclusion

To look out can reduce the feeling of being trapped in the closed context that the operating department entails. It can also lead to increased well-being and comfort in the workplace. We consider that daylight is an important component in the physical work environment that needs to be taken into consideration in further research as well as in new construction of operations departments.

Annual, seasonal, cultural and vacation patterns in sleep, sedentary behaviour and physical activity: a systematic review and meta-analysis

Background

Time spent in daily activities (sleep, sedentary behaviour and physical activity) has important consequences for health and wellbeing. The amount of time spent varies from day to day, yet little is known about the temporal nature of daily activity patterns in adults. The aim of this review is to identify the annual rhythms of daily activity behaviours in healthy adults and explore what temporal factors appear to influence these rhythms.

Methods

Six online databases were searched for cohort studies exploring within-year temporal patterns (e.g. season effects, vacation, cultural festivals) in sleep, sedentary behaviour or physical activity in healthy 18 to 65-year-old adults. Screening, data extraction, and risk of bias scoring were performed in duplicate. Extracted data was presented as mean daily minutes of each activity type, with transformations performed as needed. Where possible, meta-analyses were performed using random effect models to calculate standardised mean differences (SMD).

Results

Of the 7009 articles identified, 17 studies were included. Studies were published between 2003 and 2019, representing 14 countries and 1951 participants, addressing variation in daily activities across season (n = 11), Ramadan (n = 4), vacation (n = 1) and daylight savings time transitions (n = 1). Meta-analyses suggested evidence of seasonal variation in activity patterns, with sleep highest in autumn (+ 12 min); sedentary behaviour highest in winter (+ 19 min); light physical activity highest in summer (+ 19 min); and moderate-to-vigorous physical activity highest in summer (+ 2 min) when compared to the yearly mean. These trends were significant for light physical activity in winter (SMD = − 0.03, 95% CI − 0.58 to − 0.01, P = 0.04). Sleep appeared 64 min less during, compared to outside Ramadan (non-significant). Narrative analyses for the impact of vacation and daylight savings suggested that light physical activity is higher during vacation and that sleep increases after the spring daylight savings transition, and decreases after the autumn transition.

Conclusions

Research into temporal patterns in activity behaviours is scarce. Existing evidence suggests that seasonal changes and periodic changes to usual routine, such as observing religious events, may influence activity behaviours across the year. Further research measuring 24-h time use and exploring a wider variety of temporal factors is needed.

Annual rhythms in adults' lifestyle and health (ARIA): protocol for a 12-month longitudinal study examining temporal patterns in weight, activity, diet, and wellbeing in Australian adults

BACKGROUND

Almost one in three Australian adults are now obese, and the rate continues to rise. The causes of obesity are multifaceted and include environmental, cultural and lifestyle factors. Emerging evidence suggests there may be temporal patterns in weight gain related, for example, to season and major festivals such as Christmas, potentially due to changes in diet, daily activity patterns or both. The aim of this study is to track the annual rhythm in body weight, 24 h activity patterns, dietary patterns, and wellbeing in a cohort of Australian adults. In addition, through data linkage with a concurrent children's cohort study, we aim to examine whether changes in children's body mass index, activity and diet are related to those of their parents.

METHODS

A community-based sample of 375 parents aged 18 to 65 years old, residing in or near Adelaide, Australia, and who have access to a Bluetooth-enabled mobile device or a computer and home internet, will be recruited. Across a full year, daily activities (minutes of moderate to vigorous physical activity, light physical activity, sedentary behaviour and sleep) will be measured using wrist-worn accelerometry (Fitbit Charge 3). Body weight will be measured daily using Fitbit wifi scales. Self-reported dietary intake (Dietary Questionnaire for Epidemiological Studies V3.2), and psychological wellbeing (WHOQOL-BREF and DASS-21) will be assessed eight times throughout the 12-month period. Annual patterns in weight will be examined using Lowess curves. Associations between changes in weight and changes in activity and diet compositions will be examined using repeated measures multi-level models. The associations between parent's and children's weight, activity and diet will be investigated using multi-level models.

DISCUSSION

Temporal factors, such as day type (weekday or weekend day), cultural celebrations and season, may play a key role in weight gain. The aim is to identify critical opportunities for intervention to assist the prevention of weight gain. Family-based interventions may be an important intervention strategy.

TRIAL REGISTRATION

Australia New Zealand Clinical Trials Registry, identifier ACTRN12619001430123 . Prospectively registered on 16 October 2019.

Factors associated with work impairment and productivity among Lebanese community pharmacists

Background Community pharmacists provide an essential service by promoting, maintaining and improving the health of the community. However, factors affecting community pharmacists' work productivity remain poorly studied. Objective Our study aimed to assess, on a national level, work productivity components and its correlates among Lebanese community pharmacists. Methods: The study was carried out between March and July 2018, using a representative sample of community pharmacies from all districts of Lebanon. Main outcome measure: The work productivity components were assessed using the Work Productivity and Activity Impairment questionnaire. Results The study included 435 community pharmacists, the prevalence of sickness presenteeism and sickness absenteeism reached 91% and 45%, respectively. Presenteeism was positively associated with reporting higher depression score (β = 0.26) and insomnia (β = 0.20) whereas better mental (β = - 0.35) and physical health (β = - 0.38) were negatively associated with presenteeism. Absenteeism was positively associated with male gender (adjusted OR 2.05, 95% CI 1.14-3.70), reporting higher depression score (adjusted OR = 1.07, 95% CI 1.02-1.11) and negatively associated with better mental and physical health (adjusted OR = 0.93, 95% CI 0.90-0.96 and adjusted OR = 0.96, 95% CI 0.93-0.99; respectively). Activity impairment was positively associated with depression (β = 0.16) and insomnia (β = 0.12) and negatively associated with better mental (β = - 0.22) and physical health (β = - 0.015). Conclusion This is the first study assessing work productivity and activity impairment among Lebanese community pharmacists. Further research is needed to predict sickness absenteeism and presenteeism and this information will be useful to ensure quality of care is delivered.

Why and How to Deal With Diurnal Cyclic Patterns in Ambulatory Assessment of Emotions

Abstract. The use of ambulatory assessment (AA) based methods in emotion research has steadily increased over the past decades. Although having a number of benefits over other methods, the use and analysis of AA data may pose specific challenges. Among these, the issue of dealing with diurnal cycles in emotion data has received relative scant attention. This article therefore discusses why cyclic models may be considered for analyzing AA data on emotions, and describes how this approach can be applied to an empirical AA dataset. Results suggest that cyclic modeling may be a useful method for describing and accounting for (diurnal) cyclic patterns in AA data, but should be used with a number of considerations in mind.