Weather, weekday, and vacation effects on webcam recorded daily visitor numbers in the alpine winter season

Winter tourism is an important economic factor in the European Alps, which could be exposed to severely changing meteorological conditions due to climate change in the future. The extent to which meteorology influences winter tourism figures has so far been analyzed mainly based on monthly or seasonal data and in relation to skier numbers. Therefore, we record for the first time daily visitor numbers at five Bavarian winter tourism destinations based on 1518 webcam images using object detection and link them to meteorological and time-related variables. Our results show that parameters such as temperature, cloud cover or sunshine duration, precipitation, snow depth, wind speed, and relative humidity play a role especially at locations that include other forms of winter tourism in addition to skiing. In the ski resorts studied, on the other hand, skiing is mostly independent of current weather conditions, which can be attributed mainly to artificial snowmaking. Moreover, at the webcam sites studied, weekends and vacation periods had an equal or even stronger influence on daily visitor numbers than the current weather conditions. The extent to which weather impacts the (future) visitor numbers of a winter tourism destination must therefore be investigated individually and with the inclusion of non-meteorological variables influencing human behavior.

Public holidays increased the transmission of COVID-19 in Japan, 2020-2021: a mathematical modelling study

OBJECTIVES

Although the role of specific holidays in modifying transmission dynamics of infectious diseases has received some research attention, the epidemiological impact of public holidays on the transmission of coronavirus disease 2019 (COVID-19) remains unclear.

METHODS

To assess the extent of increased transmission frequency during public holidays, we collected COVID-19 incidence and mobility data in Hokkaido, Tokyo, Aichi, and Osaka from February 15, 2020 to September 30, 2021. Models linking the estimated effective reproduction number (Rt) with raw or adjusted mobility, public holidays, and the state of emergency declaration were developed. The best-fit model included public holidays as an essential input variable, and was used to calculate counterfactuals of Rt in the absence of holidays.

RESULTS

During public holidays, on average, Rt increased by 5.71%, 3.19%, 4.84%, and 24.82% in Hokkaido, Tokyo, Aichi, and Osaka, respectively, resulting in a total increase of 580 (95% confidence interval [CI], 213 to 954), 2,209 (95% CI, 1,230 to 3,201), 1,086 (95% CI, 478 to 1,686), and 5,211 (95% CI, 4,554 to 5,867) cases that were attributable to the impact of public holidays.

CONCLUSIONS

Public holidays intensified the transmission of COVID-19, highlighting the importance of considering public holidays in designing appropriate public health and social measures in the future.

Association of public health and social measures on the hand-foot-mouth epidemic in South Korea

BACKGROUND

School based-measures such as school closure and school holidays have been considered a viable intervention during the hand-foot-mouth disease (HFMD) epidemic. The aim of this study was to explore the association of nationwide public health and social measures (PHSMs) including planned school vacation on the transmissibility and attack rate of the HFMD epidemic in South Korea.

METHODS

In this study, we used Korean national surveillance data on HFMD from 2014 to 2019 to estimate the temporal changes in HFMD transmissibility (instantaneous reproductive number, Rt). Furthermore, to assess the changes in the HFMD attack rate, we used a stochastic transmission model to simulate the HFMD epidemic with no school vacation and nationwide PHSMs in 2015 South Korea.

RESULTS

We found that school vacations and 2015 PHSMs were associated with the reduced Rt by 2-7 % and 13 %, respectively. Model projections indicated school vacations and 2015 PHSMs were associated with reduced HFMD attack rate by an average of 1.10 % (range: 0.38-1.51 %).

CONCLUSIONS

PHSMs likely have a larger association with reduced HFMD transmissibility than school-based measures alone (i.e. school vacations). Preventive measures targeting preschoolers could be considered as potential options for reducing the future burden of HFMD.

How do 24-h movement behaviours change during and after vacation? A cohort study

BACKGROUND

For adults, vacations represent a break from daily responsibilities of work - offering the opportunity to re-distribute time between sleep, sedentary behaviour, light physical activity (LPA) and moderate-to-vigorous physical activity (MVPA) across the 24-h day. To date, there has been minimal research into how activity behaviour patterns change on vacation, and whether any changes linger after the vacation. This study examined how daily movement behaviours change from before, to during and after vacations, and whether these varied based on the type of vacation and vacation duration.

METHODS

Data collected during the Annual Rhythms In Adults' lifestyle and health (ARIA) study were used. 308 adults (mean age 40.4 years, SD 5.6) wore Fitbit Charge 3 fitness trackers 24 h a day for 13 months. Minute-by-minute movement behaviour data were aggregated into daily totals. Multi-level mixed-effects linear regressions were used to compare movement behaviours during and post-vacation (4 weeks) to pre-vacation levels (14 days), and to examine the associations with vacation type and duration.

RESULTS

Participants took an average of 2.6 (SD = 1.7) vacations of 12 (SD = 14) days' (N = 9778 days) duration. The most common vacation type was outdoor recreation (35%) followed by family/social events (31%), rest (17%) and non-leisure (17%). Daily sleep, LPA and MVPA all increased (+ 21 min [95% CI = 19,24] p < 0.001, + 3 min [95% CI = 0.4,5] p < 0.02, and + 5 min [95% CI = 3,6] p < 0.001 respectively) and sedentary behaviour decreased (-29 min [95% CI = -32,-25] p < 0.001) during vacation. Post-vacation, sleep remained elevated for two weeks; MVPA returned to pre-vacation levels; and LPA and sedentary behaviour over-corrected, with LPA significantly lower for 4 weeks, and sedentary behaviour significantly higher for one week. The largest changes were seen for "rest" and "outdoor" vacations. The magnitude of changes was smallest for short vacations (< 3 days).

CONCLUSIONS

Vacations are associated with favourable changes in daily movement behaviours. These data provide preliminary evidence of the health benefits of vacations.

TRIAL REGISTRATION

The study was prospectively registered on the Australian New Zealand Clinical Trial Registry (Trial ID: ACTRN12619001430123).

Effects of a one-week vacation with various activity programs on well-being, heart rate variability, and sleep quality in healthy vacationers-an open comparative study

OBJECTIVES

This open comparative study aimed to analyze the effects of a one-week vacation with various activity programs on well-being, heart rate variability (HRV) and sleep quality in healthy vacationers.

METHODS

Fifty-two healthy untrained vacationers spent a one-week vacation with regular exercise in East Tyrol. Exercise was performed on six of seven days. The study participants were divided into a) Group 1, playing golf (G), and b) Group 2 performing Nordic walking or e-biking (NW&EB). Well-being was measured with the WHO-5 well-being-index; stress and recovery status was obtained with the EBF-24-questionnaire (recovery-stress questionnaire). HRV parameters in the time and frequency domain (SDNN, pNN50, r-MSSD, log LF/HF and total power) were measured with a 24-h-ECG (electrocardiogram). Sleep quality was derived from the EBF-24 questionnaire and sleep architecture from HRV-analysis. Examinations were performed one day before and after the vacation.

RESULTS

Well-being significantly improved in the G group (+ 40%, p < 0.001) and NW&EB group (+ 19%, p = 0.019). The stress and recovery profile also improved significantly in both groups (stress-decrease: -43.7% G group; -44.7% NW&EB group; recovery-increase: + 23.6% G group; + 21.5% NW&EB group). Except for the SDNN (standard deviation of the NN interval), no significant change was noted in HRV-parameters. SDNN improved significantly only in the NW&EB group (+ 9%, p < 0.05). Sleep quality (+ 21% G group, p = 0.029; + 19% NW&EB group, p = 0.007) and architecture (-10% G group, p = 0.034; -23% NW&EB group, p = 0.012) significantly improved in both groups.

CONCLUSION

A short-term vacation with regular exercise was well tolerated by the study participants and improved well-being, sleep quality, HRV and autonomic regulation.

TRIAL REGISTRATION

Registry and the registration no. of the study/trial: Approval was received from the ethics committee of the Leopold Franzens University of Innsbruck (AN2013-0059 332/4.8).

Do holidays change subjective sleep length or sleep debt in shift work disorder?

In shift work disorder (SWD), disturbed sleep acutely impairs employees' recovery, but little attention has been paid to sleep during longer recovery periods. We examined how holidays affect self-estimated sleep length, sleep debt, and recovery in cases of SWD. Twenty-one shift workers with questionnaire-based SWD and nine reference cases without SWD symptoms completed a questionnaire on recovery and sleep need. They also reported sleep length on two separate occasions: during a work period and after ≥ 2 weeks of holidays. Sleep debt was calculated by subtracting sleep length from sleep need. We used parametric tests to compare the groups and the periods. The groups reported shorter sleep on workdays than during holidays (median difference: SWD group 1.7 h, p<0.001; reference group 1.5 h; p<0.05). The SWD group's self-estimated sleep during holidays increased less above the sleep need (median 0.0 h) than the reference group's sleep (1.0 h, p<0.05). In addition, the SWD group reported good recovery from irregular working hours less often (14%) than the reference group (100%, p<0.001). Although holidays were generally associated with longer sleep estimates than workdays, employees with SWD experienced consistently less efficient recovery than those without SWD.

Impact of holiday periods on survival following an in-hospital cardiac arrest

Introduction

Higher rates of mortality following an in-hospital cardiac arrest (IHCA) has been shown during nights and weekends, changes in staff density and composition has been suggested as a possible explanation. Changes in hospital staffing patterns are also common during holiday periods.

Aim

To investigate whether holiday periods are associated with decreased survival following an IHCA.

Material and methods

All patients ≥18 years who experienced an IHCA at Karolinska University Hospital between 2006 and 2019 were included. Patients were identified via and data was collected from the Swedish Registry for Cardiopulmonary Resuscitation. Holiday was defined as two periods, a seven-week summer period and an approximately two-week Christmas period. The primary outcome was return of spontaneous circulation (ROSC), secondary survival to hospital discharge. Logistic regression was performed to calculate odds ratio (OR) with 95% confidence intervals (CI), adjustment was done for known confounders.

Results

Out of 1936 registered cases, 264 (14%) occurred during holiday periods. Patient and event characteristics were similar on holidays compared to non-holidays. Both ratio for ROSC (45% and 55%, respectively) and survival (25% and 32% respectively) was poorer during holiday periods Adjusted OR for ROSC and survival was poorer during holiday periods compared non-holiday periods (OR 0.69 [95% CI, 0.53-0.92] and OR 0.69 [95% CI, 0.49-0.96], respectively).

Conclusion

Outcomes after IHCA was poorer during holiday periods compared to non-holiday periods even if patient and event characteristics was similar. Further research is needed to better understand to what degree staffing patterns and other factors contribute to the observed difference.

Flying after diving: a questionnaire-based evaluation of pre-flight diving behaviour in a recreational diving cohort

INTRODUCTION

Divers are recommended to observe a pre-flight surface interval (PFSI) ≥ 24 hours before boarding a plane following a diving vacation. Decompression sickness (DCS) symptoms may occur during or post-flight. This study aimed to examine the adherence of PFSI ≥ 24 in vacationing divers, and if any perceived signs and symptoms of DCS during or after flight were experienced.

METHODS

An anonymous online survey was publicised through diving exhibitions and social media. Data included diver/diving demographics, PFSI before flight, flight details, and perceived signs and symptoms of DCS during or after flight.

RESULTS

Data from 316 divers were examined (31% female) with the age range 17-75 years (median 49). Divers recorded 4,356 dives in the week preceding the flight, range 1-36 (median 14). Overall, 251/316 (79%) respondents reported a PFSI of ≥ 24 hours. PFSIs of < 12 hours were reported by 6 respondents. Diagnosed and treated DCS developing during, and post flight was reported by 4 divers with PFSIs ≥ 24 hours and by 2 divers with PFSIs < 24 hours. Fifteen divers boarded a plane with perceived symptoms of DCS.

CONCLUSIONS

These data suggest that most divers in this study observed the recommendations of a ≥ 24 hour PFSI with safe outcomes.

Resource planning principles for the radiotherapy process using simulations applied to a longer vacation period use case

PURPOSE

Radiotherapy (RT) resources need to be used wisely to balance workload and patient throughput. There are no known strategies on how to plan resource use around longer vacation periods to avoid patient waiting times. We created a simulation model over the RT workflow to evaluate different scenarios for this purpose.

MATERIALS AND METHODS

The simulation model mimics a large modern RT department in Sweden. It was based on real data on patient referral patterns and resource use extracted from clinical systems (3666 treatment courses). Workshops with managers and staff were held to investigate nine different scenarios for the summer vacation period including one scenario to validate the model. Different capacity reductions, vacation period lengths and timing of the vacation periods between the preparatory part of the RT workflow and the treatment part were evaluated.

RESULTS

For an eight-week period, resource utilization was predicted to be high both before and after the vacation period regardless of timing. However, more patients would be waiting with completed preparations with simultaneous vacation periods than when the preparatory part started one-two weeks prior to the treatment part. With shorter vacation periods, treatment would require overtime during the vacation period with higher levels of patients waiting compared to an eight-week scenario.

CONCLUSIONS

Our proposed strategy aided managers to identify a preferred scenario for the summer vacation period with the preparatory part starting one-two weeks prior to the treatment part for an eight-week vacation period. This can help other RT departments to plan for similar situations.

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.

Efficacy of a smartphone-based intervention - "Holidaily" - promoting recovery behaviour in workers after a vacation: study protocol for a randomised controlled trial

BACKGROUND

While work-related rumination increases the risk of acute stressors developing into chronic load reactions and adverse health, mental detachment has been suggested as a way to interrupt this chain. Despite the importance of mentally detaching from work during leisure time, workers seem to struggle to disengage and, instead, experience the constant mental representation of work-related stressors, regardless of their absence. Those who struggle with work-related rumination could benefit from an easy-access intervention that fosters mental detachment by promoting recreational activities. Especially during vacations, workers appear to naturally engage in sufficient recovery activities; however, this beneficial behaviour is not sustained. The smartphone app-based intervention "Holidaily" promotes recovery behaviour and, thus, mental detachment from work with the intension of extending the beneficial effects of workers' vacations into their daily working life.

METHODS

This randomised-controlled trial (RCT) evaluates the efficacy of "Holidaily". The Holidaily app is a German stand-alone program for mobile devices with either Android/iOS operating systems. The sample includes workers, who are awaiting to go on vacation and are randomly assigned to either the intervention (IG) or a waitlist-control group (CG). The IG receives two weeks pre-vacation access to Holidaily, while the CG receives access two weeks post-vacation. On a daily basis participants in the IG are provided with three options promoting recreational activities and beneficial recovery experiences. Online questionnaires are distributed to all participants at several timepoints. The primary outcome measure assesses participants' work-related rumination (Irritation Scale). A significant difference two weeks post-vacation is expected, favouring the IG. Secondary outcomes include symptoms of depression, insomnia severity, emotional exhaustion, thinking about work, recovery experiences, vacation specifics, work and personal characteristics. To help explain the intervention's effect, explorative analyses will investigate the mediation properties of the frequency of engaging in recreational activities and the moderation properties of Holidaily users' experiences.

DISCUSSION

If successful, workers will maintain their recovery behaviour beyond their vacation into daily working life. Findings could, therefore, provide evidence for low-intensity interventions that could be very valuable from a public-health perspective. App-based interventions have greater reach; hence, more workers might access preventative tools to protect themselves from developing adverse health effects linked to work-related rumination. Further studies will still be needed to investigate whether the vacation phenomenon of "lots of fun quickly gone" can be defied and long-term benefits attained.

TRIAL REGISTRATION

German Clinical Trials Registration DRKS00013650 . Registered retrospectively 15.01.2018.

Vacation frequency is associated with metabolic syndrome and symptoms

Objective: To examine the extent to which vacationing behavior is associated with metabolic outcomes. Specifically, we consider how total vacation episodes and total vacation days from the past 12 months relate to metabolic syndrome and metabolic symptoms.Design: Sixty-three workers eligible for paid vacation attended a lab visit during which their blood was drawn and they completed an interview assessing vacationing behavior in the past 12 months.Main outcome measures: Metabolic syndrome and metabolic symptoms are the main outcome measures.Results: Over the past 12 months, participants took approximately five vacations (M = 5.44, SD = 3.16) and used about 2 weeks of their paid vacation days (M = 13.80, SD = 7.25). Participants rated vacations positively, expressing low levels of travel-, childcare- and financial burden-related stress. As vacation episodes increased, metabolic syndrome incidence (OR = 0.76, p = 0.051) and number of metabolic symptoms met (IRR = 0.92, p = 0.035) decreased. Notably, risk for metabolic syndrome decreased by nearly a quarter with each additional vacation taken by participants.Conclusions: Overall, vacations are experienced as positive events. This positive subjective experience may translate into physical health benefits given that vacation frequency may protect against metabolic syndrome and symptoms.

Teacher's sleep quality: linked to social job characteristics?

Besides dealing with high workload, being a teacher is challenging with respect to the social context. There is increasing evidence that adverse social job characteristics challenge sleep quality. The current study tests whether restraint sleep quality (defined as worse sleep quality before than during vacation) is related to time-related job stressors, job resources, and social job characteristics. Forty-eight elementary school teachers (42% women) participated both during the last week before and the first week after vacation. Before vacation, teachers were asked for demographics and working conditions with reference to the last 30 d, and sleep quality with reference to the last 7 d. After vacation sleep quality during vacation was assessed and used as reference for working time sleep quality. Results showed mean levels of sleep quality increased during vacation. In teachers with restrained working time sleep quality (38%), experiences of failure at work, social exclusion, and emotional dissonance were more frequent than in teachers with unrestrained working time sleep quality (Ps<0.05). Groups did not differ in time-related stressors, time control and social support from supervisors. Emotion work, social exclusion and individual experience of failure seem to challenge sleep quality in teachers.

What's Keeping Teenagers Up? Prebedtime Behaviors and Actigraphy-Assessed Sleep Over School and Vacation

PURPOSE

Technology-related behaviors (e.g., computer use) before bedtime (BT) have been associated with poorer and shorter sleep in adolescents; however, less is known about other behaviors in relation to sleep. This study characterized a range of behaviors in the hour before bed (i.e., pre-BT behaviors [PBBs]) and examined their relationship with sleep parameters during school and vacation periods (i.e., restricted and extended sleep opportunities, respectively). Mechanistic roles of chronotype and cognitive presleep arousal (PSAcog) were also examined.

METHODS

During the last week of a school term and throughout a 2-week vacation, 146 adolescents (47.26% male, age M ± standard deviation = 16.2 ± 1.0 years) from the general community completed daily sleep measure using actigraphy, self-report measures on PBBs and PSAcog (Presleep Arousal Scale) for both school and vacation periods, and chronotype (Morningness-Eveningness Questionnaire).

RESULTS

Adolescents engaged in a variety of behaviors before bed. Notably, playing video games was associated with significantly later school and vacation BT and shorter school sleep duration (controlling for chronotype). During vacation, online social media was associated with significantly longer sleep onset latency, and this relationship was mediated by higher PSAcog. In contrast, on school nights, spending time with family was associated with significantly earlier BT and longer sleep duration.

CONCLUSIONS

Technology-related PBBs video games and online social media were risk factors for shorter and poorer sleep, whereas time with family was protective of sleep duration. In addressing sleep problems in adolescents, therapeutic procedures that target the potentially addictive nature of technology use and reduce PSAcog were implicated.

An investigation into the effects of vacations on the health status in male white-collar workers

There are many stress factors in occupational settings, and the lack of vacations could be one of factors in the context of work stress. The authors have been studying the relationship between workload and employee health. This time, an investigation into the effects of leisure vacations on worker health status using male white-collar employees aged 20-60 years engaged in a manufacturing company was conducted. The subjects were questioned on work stress factors including vacations and modifiers in their occupational settings, and on psychological and physiological stress reactions; that is, how often they were able to take leisure vacations every year, their average working hours a day and work stress factors from the Demand-Control-Support model. The questions also examined other factors concerning the employees such as type-A behavior and lifestyles as modifiers, diseases of the employees, physical complaints, feelings about sleep, perceived stress, job and life satisfaction, and stress reactions as measured by physiological examination. Correlation and logistic regression analysis were conducted with the 551 eligible subjects. The results were as follows: Leisure vacation was decreasingly related to some of psychological stress reactions after adjustment was made for working hours and for modifiers. Less vacation was increasingly related to the workers' diseases especially among the employees aged 20-34, though the association was not statistically significant. Vacations did not show obvious association with physiological measures. These findings demonstrate the effectiveness and possibility of leisure vacation in controlling fatigue and maintaining the health of workers. Vacation should always be taken into consideration as a stress factor in a survey of the health problems of white-collar workers.