Weekend Days Research Articles

Daily relationship satisfaction and markers of health: Findings from a smartphone-based assessment.

Relationship satisfaction is associated consistently with better physical and mental health. Less is known about these associations in daily life, particularly the association between relationship satisfaction and cognitive health. This study examined the daily, within-person association between relationship satisfaction and subjective health markers, including cognitive health. Participants from the United States (N = 303; Mage = 51.71, SD = 7.32) in the Couples Healthy Aging Project (CHAP) completed assessments of relationship satisfaction and health markers every night for eight days. Multilevel modeling was performed by accounting for personal (sex, age, race, education), relational (relationship duration), and contextual (day in the study, weekend day) factors. Within-person, on days when participants were more satisfied with their relationship, they felt healthier, younger, more satisfied with their life, and more purposeful. They also reported a sharper mind, better memory, and clearer thinking; relationship satisfaction was unrelated to whether participants were bothered and disrupted by forgetting. Results indicated that a satisfying romantic relationship is closely associated with better physical, psychological, and cognitive health markers in daily life.

Prevalence of social jetlag and associated factors in Brazilian adolescents: Results from a country-wide cross-sectional study

ObjectivesSocial jetlag is a disturbance in the circadian rhythm caused by a desynchronization between an individual's biological rhythm and social commitments and responsibilities. It leads to sleep debt during the week and compensation on weekends. Social jetlag is associated with an increased risk of chronic diseases and cognitive dysfunction in adolescents. This study aims to assess the prevalence of social jetlag and associated factors in Brazilian adolescents. MethodsAdolescents of both sexes, aged between 12 and 17years, participating in the Study of Cardiovascular Risks in Adolescents (ERICA), were included. The sleep duration on a typical weekday and weekend day was collected through a self-reported questionnaire. The occurrence of social jetlag was defined as the difference between the midpoint of sleep on weekends and weekdays, with differences equal to or higher than 1hour considered as an indicator of positive social jetlag. Factors associated with the prevalence of social jetlag were investigated using Poisson regression models. ResultsThe sample included a total of 64,029 adolescents. Social jetlag affects more than 80% of Brazilian adolescents, with higher prevalence among girls in the age group of 16-17years, with white skin color, attending private schools, and those having morning classes. Additionally, unhealthy risk behaviors such as skipping breakfast, alcohol consumption, and increased screen time are associated with a higher prevalence of social jetlag. ConclusionThe prevalence of social jetlag was high in Brazilian adolescents, and, among its associated factors, studying in the morning shift and engaging in unhealthy risk behaviors stand out.

Relationship between physical activity and neighborhood environment in preschool children during COVID-19.—A cross-sectional study using 24-hour activity records-

Maintaining physical activity and the development of physical and cognitive functions are essential especially in vulnerable populations such as children. Considering the substantial impact of the COVID-19 epidemic on preschool children and the lack of research focusing on this age group, this study examined the duration of physical activity among preschool-aged children on weekend days and its relationship with the environment. This study was conducted between October and November 2021, with the cooperation of 357 parents of preschoolers attending kindergartens, nurseries, and childcare centers. Physical activity was assessed using a 24h physical activity record. A questionnaire was used to collect basic data on the neighborhood environment. Stepwise multiple regression analysis was used to analyze the relationship between the five physical activity measures (sedentary time, screen time, indoor playing time, outdoor playing time, and going out time) and the questionnaire data. Our findings revealed a relationship between physical activity and the neighborhood environment; however, the R2 values were low. Despite low prediction accuracy, the results of this study were similar to those of previous studies, indicating a positive correlation of physical activity with the absence of undulating roads, a crime-free environment, and safety around the home. Overall, these findings emphasize the need for providing children with opportunities for outdoor physical activity and play in the context of the COVID-19 recovery phase for adherence to the relevant guidelines.

Objective and subjective physical activity assessment in obese patients with eating disorders

Abstract Background Discrepancies between objective and subjective measures of physical activity have been reported in healthy populations but remain unexplored in adults with obesity and psychosomatic disorders. Exercise is key for reducing these disorders, yet physiological and psychosomatic factors may complicate valid activity assessments in this population. Here, we compare self-reporting with actigraph data in a clinical setting. Methods Over two years, 27 obese patients (21 female, 6 male; 43±14 yrs; 41.3±5.7 kg·m−2) with eating disorders (EDE-Q) were recruited from an Austrian Psychosomatic Center. Total physical activity was assessed using the metabolic equivalent (MET min/w) and sitting time (min/d). Objective data were collected using the SenseWear® wristband (SWA) during weeks 3-4 of patients’ clinical stay. SWA was worn for ≥18 h/d on ≥ 4 days, including one weekend day. Patients self-administered the International Physical Activity Questionnaire (IPAQ-SF) in alignment with the ∼7 days of SWA wear. Concurrent validity - SWA as a criterion - was assessed using regression analyses, and proportional bias was examined with regression and equality line similarity analyses. Results Comparison showed an overestimation of total activity (+45%; p<.001) and underestimation of sitting time (-28%; p<.001) with IPAQ-SF vs SWA. Within-patient correlations were poor for MET (r=.92, p<.001) and impractical for sitting time (r=.27, p=.018), with a proportional bias for both outcomes (p≤.001). Converting objective to subjective measures yielded typical errors of 232 (total activity) and 90 min (sitting time). Conclusions The observed disparities emphasize the need to integrate sensor-based assessment of physical activity into clinical practice or tailored public health initiatives for adult obesity and psychosomatic disorders. However, further research is needed to evaluate the long-term impact of incorporating accurate SWA data on intervention efficacy in this vulnerable group. Key messages • There was strong evidence for meaningful differences in objective vs subjective physical activity assessments in obese patients with eating disorders. • Integrating objective measures into treatment seems crucial to improve exercise-guided interventions and address the global obesity and psychosomatic disorders pandemic.

Fighting HAIs by monitoring hand hygiene compliance in the Umberto I teaching Hospital in Rome

Abstract Background Healthcare-associated infections (HAIs) are one of the most common preventable complications in hospitalised patients related to increased morbidity and mortality for patients. Proper hand hygiene (HH) can decrease the prevalence of HAIs within care settings. The aim of the study was to evaluate the effects of a monitoring and feedback system on HH compliance (HHC). Methods Three monitoring and feedback studies have been carried out in Umberto I teaching hospital of Rome since 2021. Healthcare workers (HCWs), were trained on how to carry out the direct observation on the 5 WHO moments on HH. The data collection lasted two weeks each year. Following data collection, they were analysed and discussed annually with HCWs. A multivariable logistic regression model was constructed to identify predictors of HH compliance. Results A total of 15874 HH were observed, of which 40.1% in 2023. The recorded HHC was 71.0% in 2021, 75.4% in 2022 and 71.6% in 2023. Multivariable analyses showed that HHC was positively associated with female sex of observed (aOR:1.3, 95% CI:1.1-1.4), during weekend days or holidays (aOR:1.3 95% CI:1.1-1.4) and all indications with respect to ‘before touching a patient’. Regarding the professional category of the observer, compared to physicians, midwives were more likely to report compliant observations (aOR=2.4, 95% CI: 1.4-4.1). On the other hand, a negative association was found with external ward staff and other HCWs and no-HCWs compared to physicians. Ward area and year of observation did not influence the probability of the outcome. Conclusions The results of this study revealed sub-optimal adherence to HH, with the lowest rates observed prior to patient interaction. That, coupled with the variability seen among HCWs, underlines the difficulties in achieving a uniform level of compliance. Therefore, ongoing training to raise awareness among HCWs and to repeat the survey over time identifying any major problems is essential. Key messages • Monitoring the reasons for non-adherence to hand hygiene in healthcare institutions in order to formulate strategies to improve HH adherence among hospital staff is essential. • Hand hygiene (HH) monitoring systems can produce measurable improvements in HH adherence by healthcare personnel, resulting in a reduction in the incidence of healthcare-associated infections.

Reliability of 24-h measurement of physical activity, sleep, and sedentary time in adult patients with asthma using a triaxial accelerometer

Objective Physical activity (PA), sleep, and sedentary time (SST) are important outcomes to monitor and to improve as part of patients’ asthma management. This study aimed to assess the number of measurement days needed to reliably measure PA and SST. Secondly, the influence of external factors on the reliability of measuring PA and SST was studied. Methods Adult patients with stable asthma were asked to wear a triaxial accelerometer for at least four days, with at least 22.5 h of wear time per day. The Intraclass Correlation Coefficients (ICCs) between different number of measurement days were used to determine reliability. Values ≥0.75 indicated good reliability. Results: Data from 452 patients were analyzed (63% women; age: 49 ± 16 years; FEV1: 87 ± 17% predicted). PA could reliably be measured with four valid measurement days (ICC 0.761). For SST, three days were needed (ICC 0.778). In summer and autumn, three days were needed to reliably measure PA, in winter four, in spring six. For SST, five days were needed in spring for good reliability, and two in all other seasons. Conclusion: Based on data from four valid days, PA and SST can reliably be measured with an accelerometer in patients with asthma. Seasonal influences are present, especially during spring. When measuring for four days, using only weekdays or three weekdays and one weekend day is recommended. The degree of asthma control, dyspnea or spirometric values did not influence the reliability.

6778 Visual Presentations for Adherence Risk Management In Patients Receiving Recombinant Human Growth Hormone Therapy

Abstract Disclosure: P. van Dommelen: Consulting Fee; Self; PvD has a consultancy agreement with Merck KGaA, Darmstadt, Germany. F. Michelis: Employee; Self; FL is an employee of Ares Trading SA, an affiliate of Merck KGaA. L. Arnaud: Employee; Self; LA is an employee of Ares Trading SA, an affiliate of Merck KGaA. S. Loche: Advisory Board Member; Self; SL has received advisory board fees from Merck KGaA, Darmstadt, Germany. Consulting Fee; Self; SL has received consultancy fees from Merck KGaA, Darmstadt, Germany. Speaker; Self; SL has received lecture fees from Merck KGaA, Darmstadt, Germany. E. Koledova: Employee; Self; EK is an employee of Merck KGaA,Darmstadt, Germany. Stock Owner; Self; EK holds shares in Merck KGaA, Darmstadt, Germany. Background: A data-driven clinical decision support system based on visual presentations for adherence risk management can support patients receiving recombinant human growth hormone (r-hGH) treatment. Our focus is on examining adherence patterns during the first 6 weeks of treatment, with a particular emphasis on the days of the week, the variability in injection timings and the summer holiday. Our aim is to assess whether these early patterns can serve as indicators for predicting adherence in the subsequent 7-12 weeks of treatment. Data and Methods: Adherence data between March-November 2023 were extracted from the newly launched third generation of easypod™ device (EP3) and GrowZen Connect Next ecosystem. EP3 is the only connected device that delivers r-hGH and monitors real-time adherence to therapy. EP3 was perceived by health care professionals as more intuitive, comfortable, user-friendly, simpler, and easier to use than previous EP2. Patients with age 2-18 years at treatment start, a 7-day regimen and complete adherence data available between 1-12 weeks of treatment were selected. Data about sex, age at start treatment, as well as adherence, classified as high (≥95%) versus low/medium <95%), standard deviation (SD) of adherence (%), log (to adjust for skewness) of the interquartile range (IQR) of the timing of injection throughout the day, median timing of the injection after midnight, and ≥50% versus <50% of the injections fall in the summer period (July-August) aggregated by day over the first 6 weeks of treatment were included in a generalized linear mixed model with adherence between 7-12 weeks as outcome. Results: In total, data for 232 patients (124 boys and 108 girls, median (Q25-Q75) age at treatment start was 10.5 (7.6-12.3)) were available. The model showed no difference in effect of adherence rates during Monday-Thursday. We, therefore, aggregated the data by weekday (Monday-Thursday) versus weekend day (Friday-Sunday, Friday was included due to the common practice of administering injections during the evening). Adherence, SD of adherence, IQR of timing of injections, and injections falling in summer were significant (p<0.05) predictors of adherence during a weekday and weekend between 7-12 weeks. Areas under the curves were both 0.96 during the weekday and weekend. Conclusions: Our research shows that adherence and timing of injections, as well as taking into account the summer holidays, can predict future adherence accurately. Visual presentations showing aggregated adherence rates and variation of timing of injections by days of the week, as well as highlighting the summer periods may improve adherence risk management and timely support. Presentation: 6/3/2024

5099 Capturing the Patient Voice for Diabetes Eye Exams

Abstract Disclosure: S. Du: None. S. Lambrechts: None. M. Freeby: None. M. Han: None. Background: Diabetic retinopathy (DR) is a leading cause of blindness among adults 20-74 years old. Ophthalmic exams are recommended every 1-2 years for type 2 diabetes patients with minimal to no DR. The 50th percentile Integrated Healthcare Association benchmark for DR screening is 49%, but at our academic medical center, the completion rate is 30%. Potential barriers to screening noted in the literature include lower levels of education, lack of knowledge about DR, and financial barriers. Objective: To understand motivating factors and barriers to DR screening among patients in our health system. Methods: We utilized the Patient Voice qualitative research method to uncover themes and identify interventions to improve care delivery. The literature was synthesized to develop a structured interview guide. From our urban academic health system, 15 patients were randomly selected for interview, six of whom had completed the “Diabetes Eye Exam” care gap and nine that had not. Interviews were transcribed and coded for thematic analysis. Results: Six opportunity areas were identified. 1) There are currently only six retinal cameras located across primary and specialty care clinics serving more than 38,000 diabetes patients. 67% of patients felt the current clinic locations were inconvenient, with distant locations and long travel times. 2) 20% of patients expressed that they would like increased flexibility of appointments offered, such as evening, weekend, and same day appointments. 3) Patients were motivated by automated diabetes eye exam specific reminder messages and appreciated the ability to self-schedule within the patient portal. 47% of patients wanted yearly reminder messages, while 40% had no preference. 4) 53% of patients expressed that they did not fully understand DR or were confused about the difference between an optometrist exam and diabetes eye exam. 5) 40% of patients completed their eye exam with their local optometrist and found this to be a more convenient option. One patient expressed that she wished her doctor had informed her that she could complete her diabetes eye exam at a local optometry clinic. 6) If patients do choose to complete their exam with their local optometrist, they would like reminders to send their records to their primary care physician or endocrinologist. A more streamlined processes to upload outside records through the patient portal would decrease this barrier. Conclusion: It is important to engage patient stakeholders and understand their needs to improve overall experience and close care gaps. Through the Patient Voice, we learned that factors such as driving distance, traffic, scheduling, and issues with uploading records are major barriers to care gap completion. Convenient clinic locations, education, and reminder messages are motivating factors. Future work will focus on developing and implementing solutions in each opportunity area. Presentation: 6/1/2024

Leisure time activities of children: Inequalities, determinants, and inter-relations

More studies should adopt a combined approach to modifiable lifestyle behaviors because of their potential synergistic effects on health. This study aims to observe how boys and girls allocate their time on different activities, during week and weekend days, investigate the time inter-relations between different leisure activities, and analyze how child and familial characteristics are associated with children’s time use in multiple activities. In 2016/17, a validated questionnaire collected data from 3-10-year-old Portuguese children (n = 8,472). Parents reported their children’s time use in different behaviors: sleep, study, screen media use, indoor and outdoor play, and school commute, as well as children’s participation in sports, and socio-economic characteristics of the family. A combination of statistical analysis (e.g., t-tests, pairwise correlations and multiple linear regression) revealed that: boys reportedly have higher screen time than girls, but they also accumulate more time in outdoor play; the time spent in different activities was determined by a set of family sociodemographic factors, such as urbanization and parental employment; and exists some inter-relation between leisure activities with high screen time being significantly associated with less sport participation and less sleep duration. Identifying time spent in multiple activities that differ by sex (and associated determinants) is critical for the development of activity promotion strategies, and may help to inform evidence-based policies designed to increase physical activity and decrease sedentary behavior in young children. Present findings highlight the growing importance of electronic media in children’s life and how they can displace other leisure activities.

Daylight duration and time allocation of children and adolescents

This study explores the allocation of time, particularly to sleep, among children and adolescents in response to daily daylight variation. Utilising a dataset of over 50,000 time-use diaries from two Australian cohorts spanning 16 years and employing an individual fixed effects estimator, we uncover a substantial causal impact of daily daylight duration on sleep patterns. Our findings reveal that days with longer daylight hours are associated with a decrease in total sleep duration, primarily driven by a later sleep onset time. Additionally, longer daylight hours correspond to reduced time spent on personal care and media activities, with increased dedication to school and physical activities. Furthermore, we identify socio-demographic factors moderating these effects, such as older age and weekend days exerting a stronger influence on sleep duration, while females and children of unemployed mothers exhibit a subtle impact. These insights contribute to our understanding of how environmental factors shape daily routines and offer implications for designing schedules that promote positive developmental outcomes in young individuals.

Weekend Variation in Ultra-Processed Food Intake of Patients after Metabolic and Bariatric Surgery: A Cross-Sectional Study

This study analyzed changes in ultra-processed food consumption patterns during weekends in patients in the post-metabolic and bariatric surgery periods. It is a cross-sectional study, which recruited and collected data via social media from adults who underwent metabolic and bariatric surgery. The Brazil Food and Nutritional Surveillance System markers of dietary consumption and the NOVA Ultra-Processed Food Screening tools were applied to evaluate dietary patterns and ultra-processed food consumption from the previous day. A total of 1525 participants were included, with a mean age of 38 ± 8 years and a mean body mass index of 29.9 ± 5.8 kg/m2. From these, 766 (50.3%) individuals answered the questionnaire referring to a weekend day. After adjusting for confounders, ultra-processed food consumption was higher on weekends compared to weekdays (NOVA Score 3.07 vs. 2.42; p < 0.01). The consumption of fruits and vegetables was lower on weekends, whereas the consumption of hamburgers/sausages, sugar-sweetened beverages, boxed/canned juice, and frozen pizza increased on weekends. Instant noodles and sandwich cookies did not show differences between weekdays and weekend days. This pattern suggests the need to monitor eating habits on weekends in individuals after metabolic and bariatric surgery.

Ergonomic Design for inclusive public spaces: a socio-demographic perspective on Chıld’s ergonomıcs ın Umranıye and Kadikoy, Istanbul

ABSTRACT This study employs mixed methods, integrating demographic variables to analyze public space space usage in child ergonomics Utilizing Space Syntax and Pierre Bourdieu’s theory within the framework of inclusive public space, it explores the relationship and needs between ergonomics and the socio-demographic statuses of children. The research applies an analytical approach based on Bourdieu’s focus on spatial capital to compare neighborhoods with varying socio-demographic characteristics in Istanbul’s Umraniye and Kadikoy districts. A critical spatial analysis emerges from comparing 14 public spaces in Umraniye’s Cakmak neighborhood (CS1) with a public area in Kadikoy’s Suadiye neighborhood (CS2). Methodologically, the study includes weekday (day 1) and weekend (day 2) field observations, Space Syntax analysis, TSI 2022 demographic data, digital maps, and anthropometric measurements specific to children aged 7–11. This effective mixed methodology provides a notable comparative spatial examination in child ergonomics research, highlighting clear disparities between the public spaces in CS1 and CS2.

Impact of usage of electronic devices on sleep quality among healthcare professions students in Ajman, UAE

Due to the advancement in technology, people are using various electronic devices. People using electronics and the internet at inappropriate times may have a harder time falling asleep and have less sleep duration, and the sharp rise in electronic device use has numerous adverse effects. This study aimed to assess the impact of the usage of electronic devices on sleep and also to determine the factors influencing sleep among healthcare professions students. A cross-sectional study was conducted using a self-administered questionnaire. The association was assessed using the Chi-square test and simple binary logistic regression to identify the factors. Of the total 446, 36.4% reported not having problems during the past month in getting to sleep within 30 minutes. Internet use at school during a typical weekday, 22.2% use 2-4 hours a day; outside of school during a typical weekday, 24.7% use >6 hours. 34.3% use the internet >6 hours outside of school on weekends. The crude OR observed was 4.1, 3.7, 3.6 and 3.9 for 1-2, 2-4, 4-6, >6 hours respectively which is statistically significant. Factors that showed statistical significance for sleep duration were nationality and internet use outside the school during a typical weekend day. For how long it takes to fall asleep, the age group was the factor that showed statistical significance.

Older adults’ compliance with mobile ecological momentary assessments in behavioral nutrition and physical activity research: pooled results of four intensive longitudinal studies and recommendations for future research

BackgroundMobile Ecological Momentary Assessment (EMA) is increasingly used to gather intensive, longitudinal data on behavioral nutrition, physical activity and sedentary behavior and their underlying determinants. However, a relevant concern is the risk of non-random non-compliance with mobile EMA protocols, especially in older adults. This study aimed to examine older adults’ compliance with mobile EMA in health behavior studies according to participant characteristics, and prompt timing, and to provide recommendations for future EMA research.MethodsData of four intensive longitudinal observational studies employing mobile EMA to understand health behavior, involving 271 community-dwelling older adults (M = 71.8 years, SD = 6.8; 52% female) in Flanders, were pooled. EMA questionnaires were prompted by a smartphone application during specific time slots or events. Data on compliance (i.e. information whether a participant answered at least one item following the prompt), time slot (morning, afternoon or evening) and day (week or weekend day) of each prompt were extracted from the EMA applications. Participant characteristics, including demographics, body mass index, and smartphone ownership, were collected via self-report. Descriptive statistics of compliance were computed, and logistic mixed models were run to examine inter- and intrapersonal variability in compliance.ResultsEMA compliance averaged 77.5%, varying from 70.0 to 86.1% across studies. Compliance differed among subgroups and throughout the day. Age was associated with lower compliance (OR = 0.96, 95%CI = 0.93–0.99), while marital/cohabiting status and smartphone ownership were associated with higher compliance (OR = 1.83, 95%CI = 1.21–2.77, and OR = 4.43, 95%CI = 2.22–8.83, respectively). Compliance was lower in the evening than in the morning (OR = 0.82, 95%CI = 0.69–0.97), indicating non-random patterns that could impact study validity.ConclusionsThe findings of this study shed light on the complexities surrounding compliance with mobile EMA protocols among older adults in health behavior studies. Our analysis revealed that non-compliance within our pooled dataset was not completely random. This non-randomness could introduce bias into study findings, potentially compromising the validity of research findings. To address these challenges, we recommend adopting tailored approaches that take into account individual characteristics and temporal dynamics. Additionally, the utilization of Directed Acyclic Graphs, and advanced statistical techniques can help mitigate the impact of non-compliance on study validity.

Later eating rhythm measured in children at 7 years of age in the ALSPAC cohort.

Later eating rhythm (LER) refers to later timing, greater energy intake (EI), and higher frequency of eating occasions (meal/snack) in the evening. The significance of LER in child health is becoming increasingly recognised. However, the lack of consensus regarding definitions of LER make it challenging to fully comprehend its role. This data note describes LER variables derived in the Avon Longitudinal Study of Parents and Children (ALSPAC), an ongoing birth cohort which enrolled 14,541 pregnant women living in Avon, UK, with an expected date of delivery between April 1991 - December 1992. When children were 7 years, parents completed a structured 3-day food diary, recording all foods/drinks consumed over 3 days (preferably 1 weekend day and 2 weekdays). Data was available for 7,285 children (50.1% response rate). A subsample of 4,869 children had exact time of eating occasions added to the existing database, which only included broad indications of eating timing based on 2-7 hour long meal slots. 13 LER variables were derived for the entire week and weekdays/weekend days separately. These comprise: 1) eating around individual bedtime (number days); 2) eating around average bedtime (number days); 3) time of evening main meal (hrs:mins); 4) time of last eating occasion (hrs:mins); 5) EI in the evening (percentage of total daily energy intake, %TDEI); 6) EI within 2hrs before bedtime (%TDEI); 7) EI for evening main meal (%TDEI); 8) EI for evening snacks (%TDEI); 9) Night eating1 (NE1): eating over 30% of total daily energy intake after 18:00 (number days); 10) NE2: eating over 25% of total daily energy intake within 2hrs before bedtime (number days); 11) eating frequency after 17:00 (number of eating occasions); 12) regularity of dinner (number of days); 13) frequency of evening snacks (number days). We describe the derivation, prevalence and inter-corelations between LER variables.

Tensor Decomposition for Spatiotemporal Mobility Pattern Learning with Mobile Phone Data

Detecting urban mobility patterns is crucial for policymakers in urban and transport planning. Mobile phone data have been increasingly deployed to measure the spatiotemporal variations in human mobility. This work applied non-negative Tucker decomposition (NTD) to mobile phone-based origin–destination (O-D) matrices to explore mobility patterns’ latent spatial and temporal relationships in the province of Liège, Belgium. Four [Formula: see text] traffic tensors have been built for one regular weekday, one regular weekend day, one holiday weekday, and one holiday weekend day, respectively. The proposed method inferred spatial clusters and temporal patterns while interpreting the correlation between spatial clusters and temporal patterns through geographical visualization. As a result, we found the similarity of O-D and destination–origin (D-O) patterns and the symmetry for the trips of the temporal patterns with evening peak and morning peaks on the weekday. Moreover, we investigated the attraction of different spatial clusters with two temporal patterns on a regular weekday and validated the reconstructed demand using population counts and commuting matrices. Finally, the differences in spatial and temporal interactions have been addressed in detail.

Screen viewing patterns and their association with mental wellbeing and psychological distress: a cross-sectional study amongst university students

BackgroundDependency on screen viewing (SV) has reached unprecedented levels, and mental health issues are becoming a major public health concern. However, the associations between SV, including variations in purposes, devices, and timing, and mental health remain unclear. This study aims to provide insights into these associations among university students.MethodsThis analysis used baseline data from a longitudinal cohort study among first-year university students matriculating in the 2021–2022 academic year. Self-reported data on sociodemographics, health behaviors and mental health outcomes alongside anthropometric measurements were collected. Unadjusted and adjusted logistic regression analyses were conducted.ResultsThe average age of the 997 valid students was 20.2 years, with 59.6% being female and 41.4% male. Students spent 14.3 h daily on SV, with females reporting higher SV than males. Daily SV was predominant for study purposes (7.6 h/day). Computer usage was the highest (7.0 h/day), while TV usage was the lowest (1.7 h/day). Poor mental wellbeing was reported by 33.6% of students, while 13.9% experienced psychological distress. Compared to students with low total SV, those with high levels were more likely to have poor mental wellbeing [OR (95% CI): 1.40 (0.99, 1.98)] and psychological distress [1.56 (1.00, 2.44)]. High levels of recreational and study related SV were significantly associated with poor mental wellbeing [1.81 (1.27, 2.56)] and psychological distress [1.75 (1.11, 2.83)], respectively. Those with high levels of computer time were more likely to have poor mental wellbeing [1.44 (1.01, 2.06)], and high weekend day SV was associated with greater odds of psychological distress [2.16 (1.17, 4.06)].ConclusionsSV among university students was high, as was the high prevalence of poor mental wellbeing and psychological distress. Greater SV was associated with poor mental wellbeing and psychological distress. Differences according to purpose of SV were noted. Although recreational SV was associated with poor mental wellbeing, study related SV was associated with psychological distress. Variations across different devices and timing were also noted. This highlights the need for further longitudinal research to understand the impact of SV on mental health and to guide interventions for promoting mental health of university students globally.

Longitudinal relationship between organised and non-organised physical activities and overall physical activity in children aged 3-11years.

Young children's physical activity (PA) has been decreasing while their sports participation has been increasing. Therefore, the aim of this research was to longitudinally examine whether and, if so, how organised and non-organised PA participation by early childhood education and care (ECEC)-aged children (T1; 3-8years) predicted their accelerometer-measured PA at primary school age (T2; 7-11years). Secondarily, changes in organised and non-organised PA participation over time were investigated. The cluster-randomised study participants comprised 501 Finnish children (52.3% girls: T1, Mage=5.57±1.06; T2, Mage=8.80±1.07). PA participation was queried via guardian questionnaire at T1 and T2. Organised PA participation was operationalised as non-participation, participation in one sport or multisport (two or more) participation; non-organised PA was operationalised as time spent outdoors on weekdays and on weekend days. PA at T2 was measured using accelerometers. The primary outcome was tested using linear regressions, while a paired sample t-test and Mann-Whitney U test assessed differences between T1 and T2. The results showed outdoor time and organised sports participation increased from T1 to T2. Moreover, outdoor time at T1 predicted more moderate-to-vigorous PA (MVPA) and less sedentary time at T2, while multisport participation predicted significantly more MVPA and less sedentary time at T2. Overall, being outdoors and multisport participation at younger ages appear to have predicted Finnish children's later (MV) PA and sedentary behaviour.

Processing of Sedentary Time and Its Reference Equation in Patients with COPD.

Sedentary time (ST) is associated with mortality independent of moderate-to-vigorous physical activity in patients with COPD. The proper processing methods for the measurement data and factors related to ST are still unknown. We investigated several conditions for determining the proper processing of ST accelerometric data and created a reference equation for ST using ST-related factors. In Study 1, we evaluated the minimum required number of days to obtain repeatability at different measurement times and assessed the effects of rainy days or weekend days on ST in patients with COPD. In Study 2, we detected the ST-related factors among 28 parameters and created a reference equation for ST using the detected factors. In Study 1, 38 patients with stable COPD were analyzed. The minimum number of days required for repeatability was 3 for 8-h wearing and 2 for 10-h wearing. The ST was significantly prolonged on rainy days, but not on weekends. In Study 2, 216 patients with stable COPD were analyzed. BMI, FEV1%pred, 6MWD, and mMRC were detected as ST-related factors, and a reference equation could be created using these four factors. The equation was validated for patients whose ST was ≥ 6 h. By using properly processed measurement data of ST, we created a reference equation for assessing ST that is expected to be useful for providing individual guidance on the shortening of ST to patients with COPD.

Independent mobility and physical activity among children residing in an ultra-dense metropolis

Abstract Objectives Independent mobility (IM), which is defined as the freedom of children moving without adult supervision, has been found to be positively associated with physical activity (PA). This study explored IM by sociodemographic factors and type of neighborhoods and its association with PA among children in Hong Kong. Methods A convenience sample of 330 children aged 8–12 years and their parents was recruited. The children wore an ActiGraph accelerometer for eight consecutive days to measure PA and sedentary time (ST). Parents reported parents’ license and children self-reported their actual mobility. Generalized estimating equations were conducted to examine the associations of IM with sociodemographics (e.g., children’s age, sex, body weight status, parents’ age, sex, maternal education) and type of neighborhood. Linear mixed models were performed to determine the associations of IM with PA and ST. Results Valid data from 296 children (8.8±0.6 years old, 42.2 % boys) were included in analysis. Children residing in sprawl and rural areas had greater parents’ license and actual mobility than those in urban areas. Greater parents’ license was associated with more moderate-to-vigorous intensity PA (MVPA) on weekend days (β=1.33, 95% CI: 0.15–2.51), while children’s actual mobility was positively associated with MVPA on weekdays (β=1.14, 95% CI: 0.10–2.18). Conclusions In densely populated metropolis, children living in highly urbanized areas with higher SES experienced reduced parental license and actual mobility compared to their peers in less affluent neighborhoods, irrespective of the level of urbanization.