Time Of Day Research Articles

Association between time of day and carbonaceous PM2.5 and oxidative potential in summer and winter in the Suncheon industrial area, Republic of Korea

Association between time of day and carbonaceous PM2.5 and oxidative potential in summer and winter in the Suncheon industrial area, Republic of Korea

Skin tissue dielectric constant: Time of day and skin depth dependence.

Skin water measurements are used to investigate skin physiology, clinically study dermatological issues, and for conditions like diabetes, oedema, and lymphedema with measurements done at various times of day (TOD). One method used is skin's tissue dielectric constant (TDC), often clinically measured to a single depth of 2.5 mm. This report characterizes intraday variations measured to multiple depths to guide expected TOD and depth dependence. Twelve medical students self-measured TDC on their forearm to depths of 0.5, 1.5, 2.5, and 5.0 mm every 2 h from 08:00 to 24:00 h on 2 consecutive days. All were trained in the procedure. TDC declined slightly from morning through evening, mostly at 0.5 mm for which TDC was reduced by 4%. TDC values were not related to participants' whole-body fat or water percentages. The TDC decrease was less at 1.5 mm where the reduction was 2.7%. At depths of 2.5 or 5.0 mm, there was no significant decrease in TOD. Skin TDC shows a minor decreasing trend with an effect greater for shallower depths. In part, the clinical relevance of the findings relates to the confidence level associated with skin water estimates, based on TDC measurements, when measured at different TOD and depths during normal clinic hours. Based on the present data the TOD change is at most 4% and insignificant for measurement depths of 2.5 mm.

Summer and Winter Anomalies of Day and Night Cloud Parameters over Western Siberia Using MODIS Data and ERA5 Reanalysis During 2001–2022

We present the results of analysis of multiyear variability of cloud parameters (day and night) over Western Siberia in summer and winter during 2001-2022 based on MODIS data and ERA5 reanalysis. Three latitude zones of the target region are considered: northern (66-72° N, 68-82° E), transitional (60-65° N, 62-88° E) and southern (54-59° N, 62-88° E). We have plotted time series and on their basis we have identified trends of the following cloud parameters: fraction, top height, top pressure, top temperature and effective emissivity. It was found that in 2010, 2012, 2014 and 2016, the largest number of anomalies in the time series of the above cloud features was observed. The comparison results for the considered cloud parameters with the variability of the land surface temperature and geopotential heights at the baric levels of 500, 700, 850 and 1000 hPa are presented. We discuss hypotheses about the causes of anomalous values in time series of investigated cloud parameters at different times of day in summer and winter, related to the specific features of atmospheric circulation over Western Siberia in different years.

The early dodder gets the host: decoding the coiling patterns of Cuscuta campestris with automated image processing.

We developed an in-house Python-based image analysis pipeline to investigate the movement patterns of Cuscuta. Our analysis unveiled that the coiling and circumnutation movements of Cuscuta are regulated by its intrinsic circadian rhythm. Cuscuta spp., commonly known as dodders, are rootless and leafless stem parasitic plants. Upon germination, Cuscuta starts rotating immediately in a counterclockwise direction (circumnutation) to locate a host plant, creating a seamless vascular connection to steal water and nutrients from its host. In this study, our aim was to elucidate the dynamics of the coiling patterns of Cuscuta, which is an essential step for successful parasitism. Using time-lapse photography, we recorded the circumnutation and coiling movements of C. campestris at different inoculation times on non-living hosts. Subsequent image analyses were facilitated through an in-house Python-based image processing pipeline to detect coiling locations, angles, initiation and completion times, and duration of coiling stages in between. The study revealed that the coiling efficacy of C. campestris varied with the inoculation time of day, showing higher success and faster initiation in morning than in evening. These observations suggest that Cuscuta, despite lacking leaves and a developed chloroplast, can discern photoperiod changes, significantly determining its parasitic efficiency. The automated image analysis results confirmed the reliability of our Python pipeline by aligning closely with manual annotations. This study provides significant insights into the parasitic strategies of C. campestris and demonstrates the potential of integrating computational image analysis in plant biology for exploring complex plant behaviors. Furthermore, this method provides an efficient tool for investigating plant movement dynamics, laying the foundation for future studies on mitigating the economic impacts of parasitic plants.

Bioplastic’s Valorisation by Anaerobic Co-Digestion with WWTP Mixed Sludge

Bioplastics are designed to degrade at the end of their lifecycle, but effective management of their end-of-life phase and integration into existing organic waste management systems remain significant challenges. Some bioplastics decompose under anaerobic conditions, with the anaerobic digestion (AD) process being a potential solution for their disposal. AD is a promising technology for valorising organic wastes, enabling biomethane production, reducing carbon footprints, and promoting product circularity. This study focuses on evaluating the continuous co-digestion of bioplastics with mixed sludge from an urban wastewater treatment plant (WWTP). Polyhydroxybutyrate (PHB) was the selected bioplastic, as various studies have reported its high and rapid degradation under anaerobic mesophilic conditions. PHB’s biodegradability under typical WWTP anaerobic digestion conditions (35 °C, 20-day retention time) was assessed in batch tests and the results indicate that PHB degradation ranged from 68 to 75%, depending on particle size. To further explore the potential of AD for PHB valorisation, the feasibility of anaerobic co-digestion of PHB with WWTP sludge was tested on a continuous laboratory scale using two digesters: a conventional digester (CSTR) and an anaerobic membrane bioreactor (AnMBR). The results indicated complete degradation of PHB, which led to higher biomethanisation percentages in both digesters, rising from 58% to 70% in the AnMBR and from 44% to 72% in the CSTR. The notable increase observed in the CSTR was attributed to changes in microbial populations that improved sludge biodegradability.

Effects of 1800MHz and 2100MHz mobile phone radiation on the blood-brain barrier of New Zealand rabbits.

In this study, the impact of mobile phone radiation on blood-brain barrier (BBB) permeability was investigated. A total of 21 New Zealand rabbits were used for the experiments, divided into three groups, each consisting of 7 rabbits. One group served as the control, while the other two were exposed to electromagnetic radiation at frequencies of 1800MHz with a distance of 14.5cm and 2100MHz with a distance of 17cm, maintaining a constant power intensity of 15 dBm, for a duration equivalent to the current average daily conversation time of 38min. The exposure was conducted under non-thermal conditions, with RF radiation levels approximately ten times lower than normal values. Evans blue (EB) dye was used as a marker to assess BBB permeability. EB binds to plasma proteins, and its presence in brain tissue indicates a disruption in BBB integrity, allowing for a quantitative evaluation of radiation-induced permeability changes. Left and right brain tissue samples were analyzed using trichloroacetic acid (TCA) and phosphate-buffered solution (PBS) solutions to measure EB amounts at 620nm via spectrophotometry. After the experiments, BBB tissue samples were collected from the right and left brains of all rabbits in the three groups and subjected to a series of medical procedures. Samples from Group 1 were compared with those from Group 2 and Group 3 using statistical methods to determine if there were any significant differences. As a result, it was found that there was no statistically significant difference in the BBB of rabbits exposed to 1800MHz radiation, whereas there was a statistically significant difference at a 95% confidence level in the BBB of rabbits exposed to 2100MHz radiation. A decrease in EB values was observed upon the arithmetic examination of the BBB.

Enhancing water security through advanced modeling: integrating deep learning and a novel metaheuristic optimization algorithm for accurate pan evaporation prediction

ABSTRACT This study evaluates and enhances machine learning models for predicting pan evaporation under diverse climatic conditions. Five fundamental machine learning models were employed and tested across four different stations. Subsequent comparisons were made with advanced techniques, including long short-term memory (LSTM) networks. An innovative approach was introduced, combining LSTM with Binary Al-Biruni Earth Radius (BER–LSTM). This hybrid method was benchmarked against other optimization techniques. The BER–LSTM model consistently outperformed other models across all stations and time scales, achieving up to a 97.54% improvement in root mean square error (RMSE) compared to standard LSTM on daily time scales. Compared to simpler models like Multilayer Perceptron and Support Vector Regressor, BER–LSTM showed even more substantial improvements, with up to a 99.03% reduction in RMSE. The BER–LSTM model demonstrates superior predictive capabilities for pan evaporation across varied climatic conditions, offering significant improvements over both traditional and advanced machine learning techniques. This approach shows promise for enhancing evaporation forecasting in diverse environmental contexts.

Short-term weight variability in infants and toddlers: an observational study

AimsTo explore short-term weight variability in young children; (1) how it relates to expected weight gain and (2) how it is affected by age, time of day and dietary intakes...

Park proximity and all-day and time-specific physical activity and sedentary behaviour in older adults.

Proximity to parks has been suggested as a factor influencing physical activity in older adults. However, it remains unclear the optimal distance between residences and parks for promoting physical activity and reducing sedentary time and whether these associations vary by the time of day. We examined whether the proximity to neighbourhood parks at varying distances is associated with all-day and time-specific physical activity and sedentary behaviour in older adults. Data were collected from 214 older adults receiving hospital services in Taipei, Taiwan. The number of parks within 400m, 800m, and 1,600m of participants' residences. Physical activity and sedentary behaviour, stratified by time of day (morning, afternoon, and evening), were measured using accelerometers. Adjusted linear regression models were used to estimate associations of park proximity with activity and sedentary outcomes. Parks located within 400m and 800m of participants' residences were more markedly associated with longer time in physical activity and less sedentary time compared to parks located 1,600m away. A greater number of parks within 400m and 800m was positively associated with walking steps and light-intensity physical activity while both distances were negatively associated with sedentary time. The associations between park proximity and behavioural outcomes were mainly attributable to that during the afternoon and evening. Our findings suggest that favourable access to parks within 800m of older adults' residences is associated with more physical activity and less sedentary time, particularly during the afternoon and evening. Future longitudinal studies are required to corroborate these associations.

Spatio-temporal analysis of bicyclists' PM2.5 exposure levels in a medium sized urban agglomeration.

Many cities have promoted decarbonized transportation modes to mitigate climate change, reduce air pollution and promote healthy behaviors. However, cyclists may be particularly exposed to higher concentrations of on-road air pollutants than other commuters due to their proximity to traffic, higher breathing rates, and prolonged commutes. In addition, there is scarce information analyzing the geographic exposure levels of cyclists in medium-sized urban agglomerations of Latin American cities. We aimed to assess cyclists' exposure to PM2.5 at the spatio-temporal level using low-cost sensors in the Mendoza Metropolitan Area, Argentina. We calculated PM2.5 inhalation doses (IDs) for different routes with distinctive characteristics, considering different age ranges and gender of cyclists. The dose was represented as temporally and spatially disaggregated exposure maps, one of the first to represent it in Latin America using this method. All link types analyzed exhibited significant differences in PM2.5 concentrations, although the most frequent concentrations were less than 5µgm-3, with secondary peaks of 6.5 and 9µgm-3. As expected, ID increases with age and is greater in males than in females. Our findings further reinforce the fact that route choice (busy vs. quiet) and time of day (peak vs. off-peak) appreciably affect the pollutant exposure of cyclists. All these results could be helpful in the selection of alternative cycling routes with lower PM2.5 at different hours of day but also enable us to investigate further implications of exposure to PM2.5 for the health of urban bicycle commuters.

EGS SO01 - A retrospective study on understanding the dangers of delaying emergency laparoscopic cholecystectomies in patients with acute cholecystitis

Abstract Background Gallstone related diseases account for approximately one-third of emergency general surgery admissions and referrals. Acute cholecystitis (AC), a major complication of gallstones, is typically treated with laparoscopic cholecystectomies (LC), the gold standard for treating symptomatic gallstone disease. According to NICE guidelines patients with AC should preferably undergo a LC within 72 hours. Similarly, SAGES recommends that patients who can tolerate the procedure should have a LC within 24-72 hours of diagnosis. This study aimed to determine if surgical outcomes differ among patients managed within 24 hours, between 25-72 hours, and more than 72 hours from onset of symptoms. Method This retrospective analysis evaluates wait times between onset of symptoms and surgery, as well as subsequent surgical outcomes for patients booked for emergency LC over a twelve-month period from September 2022 to September 2023. The data assessed included demographics, indications, imaging results, alkaline phosphate (ALP) levels, alanine transaminase (ALT) levels, total bilirubin levels, C-reactive protein (CRP) levels, white cell count levels, american society of anaesthesiologists (ASA) grade, type of intraoperative complications, time of day operated, length of hospital stay, duration of symptoms prior to decision for surgery and wait until surgery. This data was compared against NICE and SAGES standards. Results Sixty-one patients underwent emergency LC in the twelve-month period reviewed, mean age was 49.7 years. The sample was approximately 70% (n=43) female and 28% (n=17) male. 62% (n=38) of patients were booked for a LC within 72 hours of symptom onset. 5% (n=3) of patients had their surgery within 24 hours of presenting to hospital with symptoms, 41% (n=25) had their surgery within 24-72 hours and 54% (n=33) waited more than 72 hours for their LC. 84% (n=51) of the total patients had no adverse intraoperative findings. The 16% (n=10) patients who had complications were part of all three groups. Conclusion This study found that 46% of the patients presenting with symptoms of AC undergo emergency LC within 72 hours as per NICE and SAGES guidelines. Intraoperative complications were found in all groups of patients, waiting from 0 to 72 hours for their surgery. 80% of the complications seen were in patients waiting more than 24 hours for their LC. Increasing local awareness on the importance of not delaying emergency LC by creating pathways, such as dedicated LC lists, to allow same-admission LC will enable us to adhere more closely to current guidelines and reduce morbidity from gallstone disease.

Screen Exposure in 4-Year-Old Children: Association with Development, Daily Habits, and Ultra-Processed Food Consumption

This study aimed to investigate the association between child development, daily habits, and ultra-processed food consumption with screen exposure in 4-year-old children. A cross-sectional study was conducted using a questionnaire that included sociodemographic data, the child’s daily habits, and screenings for child development and eating habits. The daily screen exposure time (cell phone, computer, television, and/or tablet) was measured in minutes and classified as inadequate if >60 min. We conducted bivariate analyses and a generalized linear model. Overall, 362 caregivers–children pairs were investigated. The average screen time per child was 120 min (IQR: 120), and most of the children (71%) showed inadequate screen time for the age group. The longest screen time was associated with the lowest score in child development (β = −0.03; p = 0.01), an increased habit of eating in front of screens (β = 0.34; p < 0.001), and the highest score of ultra-processed foods (UPFs) (β = 0.05; p = 0.001). The sample showed a high prevalence of inadequate screen time, and this has been associated with the lowest score in child development, an increased habit of eating in front of screens, and the highest score of UPFs.

Association between Volunteer Activity Participation and Daily Sedentary Time among Adults in Japan: A Cross-sectional Study

Introduction Sedentary behavior, involving low energy expenditure while sitting or reclining, is linked to health risks. Volunteering may help reduce sedentary time through social interaction and physical activity, but this relationship is understudied in non-Western contexts. This study investigated the association between volunteer activity frequency and daily sitting time among adults in Aichi and Kanagawa Prefectures, Japan, regions with higher aging. Methods A cross-sectional study was conducted in two regions of Japan, with a sample of 1,224 adults (585 men and 639 women) from these regions. Data on volunteer activity frequency and daily sitting time were collected using questionnaires. Multiple regression models explored the relationship between volunteer frequency and sitting time, adjusting for confounders. Results The mean daily sitting time was 357.66 ± 240.40 minutes. Participants volunteering four or more times weekly reported significantly shorter sitting times compared to non-participants, with an average difference of 131.96 minutes (95% CI: -253.83 to -10.08) in the multivariable-adjusted model. This association was stronger among males (difference: 180.51 minutes; 95% CI: -353.84 to -7.28) and older adults aged ≥65 years (difference of 142.48 minutes; 95% CI: -272.58 to -12.38). Conclusion Frequent volunteering is associated with shorter sitting times, particularly among males and older adults. However, due to the cross-sectional design, causal inferences cannot be made, and the associations should be interpreted with caution. Compared to Western populations, sitting time was lower, but it still exceeded public health recommendations. Future research should explore the longitudinal effects and identify specific volunteer activities that promote active lifestyles.

Evaluation of sea surface temperature from ocean reanalysis products over the North Indian Ocean

Ocean and sea ice reanalyses (ORAs or ocean syntheses) are reconstructions of the ocean and sea ice states using an ocean model integration constrained by atmospheric surface forcing and ocean observations via a data assimilation method. Ocean reanalyses are a valuable tool for monitoring and understanding long-term ocean variability at depth, mainly because this part of the ocean is still largely unobserved. Sea surface temperature (SST) is the key variable that drives the air–sea interaction process on different time scales. Despite improvements in model and reanalysis schemes, ocean reanalyses show errors when evaluated with independent observations. The independent evaluation studies of SST from ocean reanalysis over the Indian Ocean are limited. In this study, we evaluated the SST from 10 reanalysis products (ECCO, BRAN, SODA, NCEP-GODAS, GODAS-MOM4p1, ORAS5, CGLORS, GLORYS2V4, GLOSEA, and GREP) and five synthetic observation products (COBE, ERSST, OISST, OSTIA, and HadISST) and from the pure observation-based product AMSR2 for 2012–2017 with 12 in-situ buoy observations (OMNI) over the Arabian Sea and Bay of Bengal. Even though the reanalysis and observational products perform very well in the open ocean, the performance is poorer near the coast and islands. The reanalysis products perform comparatively better than most of the observational products. COBE and OISST perform better among the synthetic observational products in the northern Indian Ocean. GODAS-MOM4p1 and GREP performs best among the reanalysis products, often surpassing the observational products. ECCO shows poorer performance and higher bias in the Bay of Bengal. Comparing the BRAN daily and monthly SST, the monthly SST performance of reanalysis is better than the daily time scale.

Differences in Time of Birth between Spontaneous and Operative Vaginal Births.

Previous studies have identified an association between obstetric interventions and the time of day in which they are performed; however, they do not account for granular variations in the temporality of delivery interventions, which is influenced by both health care providers and resource availability. We sought to assess differences in time of birth among spontaneous vaginal births (SVBs) versus operative (forceps- and vacuum-assisted) vaginal births (OVBs). This cross-sectional study used birth certificate data from the National Vital Statistics System from 2016 to 2021, which includes the time of birth and delivery method for recorded U.S. births. The number of SVBs and OVBs at each minute was normalized relative to the total births within each delivery group to facilitate balanced comparisons between groups. Logistic regression analysis assessed the odds of OVBs per time of day. A total of 15,412,129 subjects who underwent vaginal birth were included in this analysis, 690,905 (4.5%) of whom underwent OVBs. Compared to births at other time intervals, those between 4:30 and 7:30 p.m. were more likely to be OVBs (odds ratio [OR] = 1.13, 95% confidence interval [CI]: 1.12-1.14). Conversely, births between 3:00 and 6:00 a.m. were less likely to be OVBs (OR = 0.87, 95% CI: 0.86-0.88). After adjusting for adjusting for maternal age, gestational age, and induction of labor, births between 4:30 and 7:30 p.m. remained more likely to be OVBs (adjusted odds ratio [aOR] = 1.09, 95% CI: 1.08-1.10) and births between 3:00 and 6:00 a.m. remained less likely to be OVBs (aOR = 0.91, 95% CI: 0.90-0.92). In this population-based study, we identified temporal differences between SVBs and OVBs with increased use of instrumentation during the late afternoon and reduced use in the early morning. These findings prompt further investigation into the indications for OVBs and root causes of these temporal variations, which are likely multifactorial and involve provider and resource availability. · This study identifies temporal differences between SVBs and OVBs.. · Compared to SVBs, operative births are more likely in the late afternoon.. · OVBs are also less likely in the early morning.. · These temporal trends suggest the influence of provider and resource availability..

Cybersecurity Challenges in Net Energy Metering: Legal Frameworks and Practical Solutions

Net Energy Metering (NEM) has emerged as a key factor in Modern Energy Management, empowering consumers to produce their own electricity and return Net Excess Generation (NEG) to the grid. However, the increased usage of NEM has introduced significant network security challenges. As millions of electronic devices are interconnected through communication networks across critical power facilities cybersecurity has become a concerning factor, directly affecting the reliability of such extensive infrastructure. This paper gives an insight into the rising cyber offences associated with NEM systems, stipulates the legal framework, e-governance, and liabilities under the Information Technology (IT) Act, 2000. Categorization of potential cyber threats like Access control, database security and encryption, intrusion detection, malicious software, operating system vulnerabilities and security, application security has been highlighted. Evaluation of Time of Day (ToD) pricing mechanism focusing on real time monitoring and energy efficiency during peak and off-peak consumption. Incorporating Virtual Private Networks (VPNs) and other cybersecurity measures to safeguard the integrity and reliability of NEM systems. The paper illustrates the impact of cybercrimes on NEM, by exploring existing applications and case studies. It underscores the necessity of implementing robust cybersecurity practices to protect these systems. The objective of the paper is to raise awareness about the cybersecurity challenges encountered in NEM systems and to propose practical solutions to mitigate these risks, ensuring a safe and regulated environment for the functioning of smart grids in a progressively growing digital world.

Reconstructing hail days in Switzerland with statistical models (1959–2022)

Abstract. Hail is one of the costliest natural hazards in Switzerland and causes extensive damage to agriculture, cars, and infrastructure each year. In a warming climate, hail frequency and its patterns of occurrence are expected to change, which is why understanding the long-term variability and its drivers is essential. This study presents new multidecadal daily hail time series for northern and southern Switzerland from 1959 to 2022. Daily radar hail proxies and environmental predictor variables from ERA5 reanalysis are used to build an ensemble statistical model for predicting past hail occurrence. Hail days are identified from operational radar-derived probability of hail (POH) data for two study domains, the north and south of the Swiss Alps. We use data from 2002 to 2022 during the convective season from April to September. A day is defined as a hail day when POH surpasses 80 % for a minimum footprint area of the two domains. Separate logistic regression and logistic generalized additive models (GAMs) are built for each domain and combined in an ensemble prediction to reconstruct the final time series. Overall, the models are able to describe the observed time series well. Historical hail reports are used for comparing years with the most and least hail days. For the northern and southern domains, the time series both show a significant positive trend in yearly aggregated hail days from 1959 to 2022. The trend is still positive and significant when considering only the period of 1979–2022. In all models, the trends are driven by moisture and instability predictors. The last 2 decades show a considerable increase in hail days, which is the strongest in May and June. The seasonal cycle has not shifted systematically across decades. This time series allows us to study the local and remote drivers of the interannual variability and seasonality of Swiss hail occurrence.

CNSC-29. CIRCADIAN SIGNALING IN GLIOBLASTOMA SYNCHRONIZES TUMOR DAILY RHYTHMS AND REGULATES TUMOR PROGRESSION

Abstract Glioblastoma (GBM) is the most common primary brain tumor in adults with a poor prognosis despite aggressive therapy. A recent, retrospective clinical study found that administering Temozolomide in the morning increased patient overall survival by 6 months compared to evening. Previous work has shown that murine and human models of GBM have cell-intrinsic circadian rhythms in expression of the core clock genes Bmal1 and Per2. This suggests that GBM has circadian rhythms that entrain to the hosts’ central clock. Understanding the mechanisms underlying circadian entrainment and tumor growth in GBM is essential to determine whether regulation of tumor biology and susceptibility to therapies varies with time of day. Here, we tested the hypothesis that daily host signaling regulates tumor growth and synchronizes circadian rhythms in GBM. We found that GBM cells transduced with luciferase reporters to record clock gene expression have intrinsic circadian rhythms, with Bmal1 peaking 8-12 h before Per2 in murine and human cell lines in vitro and in vivo. Further, intrinsic circadian rhythms in clock gene expression in GBM entrain to the host through glucocorticoid signaling, regardless of tumor type or host immune status. We found daily glucocorticoids (i.e., Dexamethasone) promoted or suppressed GBM growth depending on time of day of administration and on the clock gene, Bmal1. Blocking circadian signals, like VIP or glucocorticoids, dramatically slowed GBM growth and disease progression. Our results suggest that GBM tumors entrain to the circadian circuit of the brain and depend on clock-controlled cues like VIP and glucocorticoids to grow at specific times of day. This work may inform personalized circadian medicine to improve individual GBM patient outcomes.

Digital Screen Usage Amongst Doctors: Demographics, Patterns of Use and Effect of Health Parameters

Background: Advances in digital technology have led to widespread availability of digital devices and consequent increased usage amongst across the population including practising healthcare professionals. Increased ‘Digital Screen time’ and its effect on physical, psychological health, and sleep patterns has been predominantly evaluated in children, adolescents and adults from various walks of life. Purpose of the Study: The purpose of this survey was to evaluate the impact of Digital Screen usage (time and patterns) spent on portable and desktop digital devices amongst physicians, surgeons and radiologists. Material & Methods: An online cross-sectional survey of an 11-part questionnaire (multiple choice questions and free text box) was circulated amongst orthopaedic surgeons, radiologists and physicians in India and the UK, to evaluate demographics, speciality and place of practice; Digital platform usage reasons and time; effect on mental health, physical health, sleep time amongst practising healthcare professionals. Results: There was an even spread amongst the various age groups. Smartphones were the commonest device utilised for digital screening in 90 (67.7%) doctors with 29 (38.5%) of doctors reporting more than five hours of daily screen time. Sixty-three (47%) of doctors used this for academic purposes, whereas 43 (32%) used it for entertainment more than for academic purposes. Thirty-nine doctors (29%) were unaware of whether screen usage affected mental health. Seventy-two (53%) were of the opinion that screen usage was having a negative effect on their physical health whilst 81 (60%) thought that it was having an adverse effect on their sleeping time respectively. Conclusion: A significant proportion of doctors appear to be using digital devices beyond the recommended ‘Digital Screen time’ by various national or international healthcare organisations. There is an emerging need to highlight the deleterious effect of excessive ‘Digital Screen time’ on various health parameters and be part of a global health narrative to mitigate ill-effects and a sustainable lifestyle.

Accelerometer-Measured Sedentary Behavior and Risk of Future Cardiovascular Disease.

Beyond serving as a marker for insufficient physical activity, sedentary behavior may directly affect future cardiovascular (CV) disease risk. This study sought to examine associations between accelerometer-measured sedentary behavior with risk of specific CV outcomes, including potential relations with moderate to vigorous physical activity (MVPA). Among participants of the UK Biobank prospective cohort study, we fit Cox models adjusted for demographic and lifestyle factors to assess associations between accelerometer-measured daily sedentary time with incident atrial fibrillation (AF), myocardial infarction (MI), heart failure (HF), and CV mortality. We assessed the potential effect of MVPA on associations between sedentary time and CV disease by including MVPA as an adjustment variable, as well as performing subgroup analyses stratified at the guideline-recommended MVPA threshold (ie,≥150min/wk). We then performed compositional analyses to estimate the effects of reallocating sedentary time to other activities. Among 89,530 individuals (age 62 ± 8 years, 56.4% women) undergoing 1week of accelerometry, median sedentary time was 9.4 h/d (Q1-Q3: 8.2-10.6). In multivariable models, using the second quartile (8.2-9.4 h/d) as a referent, sedentary time in the top quartile (>10.6 h/d) was associated with greater risks of HF (HR: 1.45; 95%CI: 1.28-1.65) and CV mortality (HR: 1.62; 95%CI: 1.34-1.96), with an inflection of risk at 10.6 h/d. Higher sedentary time was also associated with greater risks of incident AF (HR: 1.11; 95%CI: 1.01-1.21) and MI (HR: 1.15; 95%CI: 1.00-1.32), with an approximately linear relation. Associations with HF and CV mortality persisted among individuals meeting guideline-recommended MVPA levels. Among individuals with >10.6 h/d of sedentary time, reallocating sedentary behavior to other activities substantially reduced the excess CV risk conferred by sedentary behavior (eg, 30-minute decrease in sedentary time for HF: HR: 0.93; 95%CI: 0.90-0.96), even among individuals meeting guideline-recommended MVPA (HR: 0.93; 95%CI: 0.87-0.99). Sedentary behavior is broadly associated with future adverse CV outcomes, with particularly prominent effects on HF and CV mortality, where risk inflected at approximately 10.6 h/d. Although guideline-adherent MVPA partially mitigates excess risk, optimizing sedentary behavior appears to be important even among physically active individuals.