Weekend Days Research Articles

Socio-demographic determinants of diet quality among working women of reproductive age in Malaysia

BackgroundHaving a good diet quality not only increases the chance of getting all essential nutrients but also reduces the risk of non-communicable diseases. ObjectiveThis study aimed to investigate the socio-demographic determinants of diet quality among working women of reproductive age in the Klang Valley of Malaysia. MethodsSocio-demographics (age, marital status, ethnicity, educational attainment, and monthly earned income) were self-reported by the respondents. The Diet Quality Questionnaire for Malaysia was used to assess all foods and drinks consumed by working women in the previous 24 ​h of a weekday and weekend day. ResultsMore than half of the 244 working women did not consume nuts and seeds (weekday ​= ​71.7% versus weekend ​= ​72.1%) or pulses (weekday ​= ​63.1% versus weekend ​= ​67.2%). Moreover, slightly less than half of working women (weekday ​= ​43.9% versus weekend ​= ​42.6%) reported not consuming milk or milk products. In contrast, grains, white roots and tubers, and plantains (weekday ​= ​98.0% versus weekend ​= ​98.0%) and meat, poultry, and fish (weekday ​= ​97.1% versus weekend ​= ​94.7%) emerged as the most consumed healthy food groups in the previous 24 ​h. This study also demonstrated that 13.1% (n ​= ​32) of working women did not consume at least five healthy food groups daily. Age, marital status, ethnicity, educational attainment, and monthly earned income were the key socio-demographic determinants of diet quality in working women. ConclusionHealthcare professionals, especially nutritionists and dietitians, should work closely with the federal government of Malaysia to reiterate the importance of having a balanced and diversified diet in the nation.

Self-Reported Physical Inactivity and Mood Disturbances in End-Stage Kidney Disease (ESKD) Patients on Chronic Dialysis Treatment.

Physical inactivity and mood disturbances are key issues in individuals with end-stage kidney disease (ESKD) and may lead to poor clinical outcomes. We performed a pilot, observational study to explore the possible relationships between the self-reported level of physical activity (IPAQ) and the severity of mood disturbances (BDI score) in a cohort of 58 ESKD patients undergoing chronic hemodialysis (HD; n = 30) or peritoneal dialysis (PD; n = 28). Overall, ESKD patients were severely inactive (median METs: 590 [460-1850]) and the intensity of overall and walking physical activity was mostly low to moderate. HD individuals appeared less active than PD (METs 550 [250-1600] vs. 1080 [750-1730]; p = 0.003) and were also less prone to walking (METs 180 ± 90 vs. 320 ± 100; p = 0.01), while a barely statistical difference was noticed for the time spent sitting. ESKD individuals displayed a median BDI score of 17 [12-21], which indicated, on average, the presence of borderline depression, which was apparently more evident among HD individuals. A strong, inverse correlation was found between self-reported METs and BDI scores (R = -0.78; p < 0.0001), while such scores paralleled the time spent sitting during a weekday (R = 0.45; p = 0.0004) and a weekend day (R = 0.40; p = 0.002). In ESKD patients on chronic dialysis, physical inactivity and mood disturbances might be significantly inter-connected, thereby amplifying their relative impact on quality of life, dysautonomia and long-term outcomes. Future studies on larger populations are recommended to confirm these preliminary observations. Promoting strategies to improve fitness, along with greater attention to physiological aspects, should be incorporated into the clinical management of ESKD patients.

Abstract 11546: Functional Co-Clustering of Physical Activity Patterns Among Sexual and Gender Minority Adults

Introduction: Physical activity (PA) is a important modifiable risk factor for cardiovascular disease (CVD) and CVD mortality. There is growing evidence that sexual and gender minority (SGM; lesbian/gay, bisexual, transgender) adults are at higher risk of insufficient PA and CVD. Accelerometers allow for collection of granular PA data that can identify individual- and temporal heterogeneity in daily patterns. To date, no studies have investigated accelerometry-based PA patterns among SGM adults. Goal: To characterize daily PA trajectories among SGM adults and identify distinct phenotypes using a time series-based clustering technique. Methods: We recruited an online sample of healthy SGM adults in the United States who completed continuous wrist-worn accelerometry for 30 days to collect step counts. For clustering, we used a functional latent block models (FLBMs), where each 24-hour period was a Fourier-smoothed data curve. FLBMs allow hierarchical time-series data clustering by simultaneously clustering person- and day-level data. The optimal number of clusters was selected using the integrated completed likelihood (ICL) criterion. Results: Forty-two SGM adults with a mean age of 27.0 years (+/- 7.7) provided 1207 person-level days of accelerometry (range=6-31 days/person). A final model with 4 blocks (2 x 2 clusters) provided the best fit (ICL= -70086.4). Two person-level clusters were identified, which were characterized by differences in the amount and distribution of steps throughout the day were identified. Cluster 1 (n=26) had higher overall steps counts with significant morning and evening increases in step counts. Cluster 2 (n=16) had fewer steps that were within a narrower time period. We further identified 2 day-level clusters. Cluster 2 (n=14) had a wider temporal distribution of step counts and a higher variance on weekend days vs. weekdays relative to Cluster 1 (n=17). Conclusions: This is the first study to elucidate daily PA trajectories in SGM people. Using FLBM, we accounted for individual heterogeneity and relations among days. Findings can help identify individuals at increased risk of physical inactivity and subsequent negative health outcomes, providing important knowledge to inform behavioral interventions.

Abstract 12491: Impact of Augmented Treatments on Physical Activity Outcomes in a Sequential Multiple Assignment Randomized Trial

Background: Nearly half of women do not meet aerobic physical activity (PA) guidelines. Despite proven efficacy of PA interventions, response varies. Little is known about when treatment should be augmented. The Working Women Walking Program is a Sequential Multiple Assignment Randomized Trial testing two initial treatments (Fitbit vs. Fitbit+text messages) for eight weeks and two augmented treatments (personal calls vs. group meetings) added at eight weeks for non-responders to the initial treatments. Aims: We aim to compare the two augmented treatments among non-responders to the initial treatments on PA after 34 weeks of the program. Methods: Participants ( N = 301; women ages 18-70) were randomly assigned to an initial treatment of either Fitbit ( n = 149) or Fitbit+text messages ( n = 152). Both groups received a Fitbit and PA prescription (increase daily steps by ≥600 above baseline). Response to treatment was defined as (a) wearing the Fitbit 10 hours per day 3 of 7 days weekly in weeks 6-8 and (b) reaching a step goal ≥600 steps above baseline for 2-3 weeks in weeks 6-8. Non-responders were randomly assigned to an augmented treatment with personal calls ( n = 72; 50.7%) or group meetings ( n = 70; 49.3%). Objective PA was assessed with the waist-worn ActiGraph accelerometer (≥4 days with one weekend day and ≥10 hours daily wear time) at baseline and 34 weeks to assess daily steps and minutes of light and moderate-vigorous intensity PA (MVPA). Self-report PA was measured with the International PA Questionnaire to assess daily MVPA and walking. Results: Across all PA measures, there were no significant differences between augmented treatments (personal calls vs. group meetings). Overall, both treatments showed non-significant increases in objective PA, including steps ( d = .15; p = .30), light PA ( d = .11; p = .39), and MVPA ( d = .22; p = .15), but showed significant increases in self-report PA, including ( d = 1.02; p &lt; .001) and walking ( d = .73; p = .30). Conclusion: In this sample of working women who were non-responsive to an initial PA treatment (Fitbit or Fitbit+texts), augmenting with personal calls or group meetings did not yield a difference in PA outcomes. Next, we will explore participant characteristics that may differentiate response to augmented treatments.

Four Days Are Enough to Provide a Reliable Daily Step Count in Mild to Moderate Parkinson’s Disease through a Commercial Smartwatch

Daily steps could be a valuable indicator of real-world ambulation in Parkinson’s disease (PD). Nonetheless, no study to date has investigated the minimum number of days required to reliably estimate the average daily steps through commercial smartwatches in people with PD. Fifty-six patients were monitored through a commercial smartwatch for 5 consecutive days. The total daily steps for each day was recorded and the average daily steps was calculated as well as the working and weekend days average steps. The intraclass correlation coefficient (ICC) (3,k), standard error of measurement (SEM), Bland–Altman statistics, and minimum detectable change (MDC) were used to evaluate the reliability of the step count for every combination of 2–5 days. The threshold for acceptability was set at an ICC ≥ 0.8 with a lower bound of CI 95% ≥ 0.75 and a SAM &lt; 10%. ANOVA and Mann–Whitney tests were used to compare steps across the days and between the working and weekend days, respectively. Four days were needed to achieve an acceptable reliability (ICC range: 0.84–0.90; SAM range: 7.8–9.4%). In addition, daily steps did not significantly differ across the days and between the working and weekend days. These findings could support the use of step count as a walking activity index and could be relevant to developing monitoring, preventive, and rehabilitation strategies for people with PD.

Mediating effect of sleep in the association between social media use and mental health among French adolescents during the COVID-19 sanitary crisis

Objective/BackgroundSocial media use could have deleterious effects on mental health through short sleep duration and poor sleep quality among adolescents. This study aimed to investigate the mediating role of both sleep duration and sleep quality in the association between social media use and mental health among adolescents. Patients/methodsWe used cross-sectional data collected from adolescents in the EXIST pilot project conducted during COVID-19 pandemic. Adolescents self-reported wellbeing (WEMWBS), anxiety and depression (HADS) as mental health outcomes. We used ad-hoc questionnaires to assess social media use during weekdays and weekend days, and sleep duration and quality. Mediation analyses were carried out following Baron and Kenny's method, using adjusted linear regression models. ResultsA total of 340 adolescents (13.5 ± 0.6 years, 45.3 % girls) were included. Greater social media use, poorer sleep quality, and shorter sleep duration were associated with poorer mental health. Greater social media use was associated with poorer sleep quality only during the weekend days. The total effect of social media use during weekend days on anxiety (β = 2.54; 95%CI [-1.59; 6.68]) was significantly conveyed through sleep quality (β = 1.22; 95%CI [0.17; 2.62]; mediated proportion = 48.0 %) and duration (mediated proportion = 46.8 %). Mediated proportions ranged from 12.5 % to 20.6 % for wellbeing and depression. Mediating effects were not evident during weekdays. ConclusionsSleep duration and quality mediated the association between social media use and mental health among adolescents during weekend days but not weekdays. Our findings highlight the importance of promoting healthy social media habits, especially during periods of increased reliance on digital platforms, such as COVID-19 pandemic.

Establishment of a social listening mechanism on refugee crisis

Abstract Background The Russian invasion of Ukraine in February 2022 captured the public attention. For the Republic of Moldova, a border country that sheltered the highest number of refugees reported to its local population, managing the refugee crisis became a challenge, including countering mis- and disinformation with major impact on public health. The paper aims to identify the social listening mechanism that allows to track rumors regarding the refugees crisis and propose recommendations for adapting public messages. Methods The Social Listening soft Talkwalker was used to monitor and identify conversations on the refugee crisis in the Republic of Moldova between September 2022-March 2023, by developing a search syntax (with a health focus on services, vaccination, Covid-19, etc.). A second step was a qualitative analysis of the messages and comments, with recommendations. Results A total of 131,5K of results were detected with a 1.1 million Engagement. The performance remained constant, with sporadic peaks (3 most evident) and decreases on weekend days. The net sentiment is negative (-25,8 %), being dominated by anger, followed by fear and sadness. In general, prevail messages of support for the Ukrainian people, but there are also harsh criticisms of the authorities. One of the propagated ideas is that too little is being done for the local population and more support is being shown for refugees. Netizens tend to comment or share material for expressing their political views. Posts about the refugee crisis (creating better conditions in maternity hospitals or employing refugees), are less popular than those about the military conflict as a whole. Potential stigma issues have to be analyzed regarding displaced persons from Ukraine. Conclusions Undermining trust in the authorities is a good opportunity for disinformation, that's why the subject should be fact-checked. Enhancing communication of public authorities is essential. Key messages • Refugee crisis have a major impact on public health and social listening help managing it effectively. The mechanism developed (including the search syntax) can be adapted for other countries. • The research shows how monitoring conversations on social media regarding refugees can help authorities counter mis and disinformation and adapt their public messages.

Using a divider nudge in supermarket shopping trolleys to increase fruit and vegetable purchases: A feasibility study using an intervention design.

Fruit and vegetable (F&V) consumption is associated with a reduced risk of developing obesity and chronic diseases: however, only one in 16 Australian adults consume F&Vs at the recommended two servings of fruit and five servings of vegetables per day. What and how much people eat is influenced by their social and physical environments. Supermarkets are a key setting influencing food purchases, and as such, they can shape consumption patterns of F&Vs. Implementing effective strategies to increase F&V intake is crucial. The objective of this research was to test the feasibility of covertly modifying shopper purchasing behaviour to purchase more F&Vs using a visual divider nudge message (prompts) covering the entire base of shopping trolleys. Placards provided a visual representation of the recommended proportion of the trolley base that should be allocated to fruits and vegetables (implied social norm). Applying an intervention research design, 30 out of ~100 trolleys were fitted with the placards and shopper purchases were measured by collecting receipts to measure the weight (kg), total spending and F&V specific spending (Australian dollars) for intervention versus control trolleys for one weekend day only. We also conducted a short intercept survey that was administered independently from the research study day on non-trial shoppers. Shoppers who selected trolleys with the divider nudge placards (n = 102) purchased equal weight of F&Vs (Intervention: mean = 6.25 kg, SD = 5.60 kg, 95% CI = 5.14 kg, 7.35 kg, vs. Control: mean 6.03 kg, SD = 5.17 kg, 95% CI = 5.01 kg, 7.04 kg, p = 0.768) and spent equal amounts on F&Vs compared to shoppers in the control group (n = 102) (Intervention: mean = $41.46, SD = $36.68, 95% CI = $34.25, $48.66, vs. Control: mean $39.85, SD = $33.30, 95% CI = $33.34, $46.39, p = 0.744). There was no difference in the total spending between groups (Intervention: mean = $135.99, SD = $90.10, 95% CI = $118.29, $153.68, vs. Control: mean $155.68, SD = $96.46, 95% CI = $136.73, $174.63, p = 0.133). The divider nudge placard did not lead to any difference in shoppers' purchases of F&Vs. However, this study demonstrates the feasibility of testing a cheap, simple and easy supermarket nutrition intervention. Larger studies are required to elucidate and confirm these findings over the longer term.

Quantifying the Occupational Voice Use of Teachers.

The teaching profession is a high-voice use occupation at elevated risk for developing voice disorders. Continued research on teachers' vocal demands is necessary to advocate for and establish vocal health programs. This study quantified ambulatory vocal dose measures for teachers during both on- and off-work periods, comparing their occupational voice use to that in other studies that have reported percent phonation ranging from 17% to 30%. Participants included 26 full-time, female school teachers between 23 and 55 years of age across multiple grades and subjects, including individuals with and without a voice disorder. Ambulatory voice data were collected from weeklong voice monitoring that recorded phonatory activity through anterior neck-surface vibration. Three vocal dose measures-time, cycle, and distance doses-were computed for each participant for three time periods: on-work weekdays, off-work weekdays, and off-work weekend days. The teachers' average percent phonation was 16.2% on-work weekdays, 8.4% off-work weekdays, and 8.0% off-work weekend days. No statistically significant differences for vocal dose measures were found between off-work weekdays and weekend days. Overall, all vocal dose measures were approximately 2 times higher during work relative to off-work time periods. This study provides values for vocal dose measures for school teachers using ambulatory voice-monitoring technology. The vocal demands of this particular teacher sample and voice activity detection algorithm are potential factors contributing to percent phonation values on the lower end of the range reported in the literature. Future work is needed to continue to understand occupational voice use and its associated risks related to voice health, with the ultimate goal of preventing and managing voice disorders in individuals engaged in high-risk occupations.

Development and Testing of the Novel Sugar Meter for Informing Sugar Intake Guidelines to Parents of Three- to Six-Year-Old Children: A Cross-Sectional Study.

In recent years, the consumption of refined sugar has increased manifold. Added sugar is implicated in dental caries, cardiovascular risk and obesity amongst other conditions. The 1025 World Health Organization (WHO) Sugar Guidelines recommends sugar intake below 10% of energy, but there is limited awareness about the same in the general population. The aim of this study was to test the Novel Sugar Meter for informing the WHO Sugar Guidelines to the parents of three- to six-year-old children. Twenty consenting parents and their three- to six-year-old children from an English-medium school in Navi Mumbai, India, were selected. The parents were asked to record their child's baseline dietary data for three consecutive days including one weekend day. The Novel Sugar Meter, an indigenously developed ready reckoner for identifying the quantity of sugars consumed, was used. The parents were counselled using the Novel Sugar Meter (intervention) and standard instructions on the WHO guidelines (control). The dietary data were recorded again to assess and compare dietary behaviour modifications. Comparison of pre-intervention versus post-intervention sugar consumptions showed a statistically significant reduction in the Novel Sugar Meter group (t(10) = 3.70891; p = .001388) but not in the control group (t(10) = 0.94081, p = 0.35926). Both groups showed a reduction in the frequency of daily sugar exposure, with significantly more reduction in the Novel Sugar Meter group (p = .000049). Novel Sugar Meter-based counselling has the potential for application for reducing the quantity and frequency of sugar consumption in children.

Stroke Inpatient Rehabilitation Environments: Aligning Building Construction and Clinical Practice Guidelines Through Care Process Mapping.

Stroke inpatient rehabilitation is a complex process involving stroke survivors, staff, and family utilizing a common space for a shared purpose: to optimize recovery. This complex pathway is rarely fully described. Stroke care is ideally guided by Clinical Practice Guidelines, and the rehabilitation built environment should serve to optimize care delivery, patient and staff experience. We aimed to articulate the inpatient stroke rehabilitation process of care in a series of process maps, and to understand the degree to which current stroke clinical and building construction (ie, design) guidelines align to support inpatient stroke rehabilitation. We used the Value-Focused Process Engineering methodology to create maps describing the events and activities that typically occur in the current stroke inpatient rehabilitation service model. These maps were completed through individual and group session consultations with stroke survivors, architects, policy makers, and clinical experts. We then determined which sections of the Australian Stroke Rehabilitation Guidelines and the Australasian Health Facility Design Guidelines could be aligned and applied to the process maps. We present a summary process map for stroke inpatient rehabilitation, alongside detailed process maps for 4 different phases of rehabilitation (admission, a normal weekday, a weekend day, and discharge) using Value-Focused Process Engineering notation. The integration of design and clinical guidelines with care pathway maps revealed where guidelines lack detail to be readily linked to current stroke inpatient care practice, providing an opportunity to design stroke inpatient rehabilitation spaces based on the activities occurring within them. Our findings highlight gaps where clinical and design experts should work together to use guidelines to their full potential; and to improve the process of planning for future stroke rehabilitation units.

Local Validation of NutricheQ, a Study in Jordan

Background: Toddlers are consuming more energy-dense, nutrient-poor foodstuffs in discordance with international dietary guidelines. Limited data are available on the dietary habits of children in Jordan. Objectives: This study aimed primarily at assessing the local validity of the NutricheQ tool in reflecting the nutritional risk status of 12- to 36-month-old toddlers in Jordan. Methods: This national, multicentre, observational validation study analyzed the data of healthy 12- to 36-month-old toddlers who were identified and prospectively enrolled during a routine clinic visit. After providing written informed consent, the parents or legal guardians of toddlers were asked to (a) complete a food intake diary form (FIDF) over three days (two weekdays and one weekend day); and (b) to answer the NutricheQ questionnaire completed by the physician during a single outpatient visit, as part of the case report form (CRF). Results: Out of 213 Jordanian toddlers, 31 (14.6%) were at low nutritional risk; 145 (68.1%) (95% confidential interval (CI): 61.5 - 74.0) were at moderate nutritional risk, and 37 (17.4%) (95% CI: 12.8 - 23.1) were at an increased nutritional risk. The average nutritional intake of the toddlers did not meet the daily intake of the main nutrients recommended across all food categories, with a default daily intake of vitamin A, vitamin D, fiber, and iodine and an excess daily intake of protein and iron. NutricheQ-predicted risk categories significantly correlated with meat intake and the number of weekly servings of fruits and cooked vegetables. Conclusions: NutricheQ is a valid tool to predict nutritional risk among toddlers in Jordan.

Accuracy of a Web-Based Time-Use Diary (MEDAL) in Assessing Children's Meal Intakes With Food Photography by Parents as Reference: Instrument Validation Study.

My E-Diary for Activities and Lifestyle (MEDAL) is a web-based time-use diary developed to assess the diet and movement behaviors of Asian school children. This study aims to determine the accuracy of MEDAL in assessing the dietary intake of Malaysian school children, using photographs of the children's meals taken by their parents as an objective reference. A convenience sample of 46 children aged 10 to 11 years recorded their daily meals in MEDAL for 4 days (2 weekdays and 2 weekend days). Their parents took photographs of the meals and snacks of their children before and after consumption during the 4-day period and sent them along with a brief description of food and drinks consumed via an instant SMS text messaging app. The accuracy of the children's reports of the food they had consumed was determined by comparing their MEDAL reports to the photographs of the food sent by their parents. Overall, the match, omission, and intrusion rates were 62% (IQR 46%-86%), 39% (IQR 16%-55%), and 20% (IQR 6%-44%), respectively. Carbohydrate-based items from the food categories "rice and porridge"; "breads, spreads, and cereals"; and "noodles, pasta, and potatoes" were reported most accurately (total match rates: 68%-76%). "Snack and dessert" items were omitted most often (omission rate: 54%). Furthermore, side dishes from "vegetables and mushrooms," "eggs and tofu," "meat and fish," and "curry" food groups were often omitted (omission rates: 42%-46%). Items from "milk, cheese, and yogurt"; "snacks and desserts"; and "drinks" food groups intruded most often (intrusion rates: 37%-46%). Compared to the items reported by the boys, those reported by the girls had higher match rates (69% vs 53%) and lesser omission rates (31% vs 49%; P=.03, respectively). In conclusion, children aged 10 to 11 years can self-report all their meals in MEDAL, although some items are omitted or intruded. Therefore, MEDAL is a tool that can be used to assess the dietary intake of Malaysian school children.

Factors influencing autumn-winter movements of midcontinent Mallards and consequences for harvest and habitat management.

Annual phenology and distributions of migratory wildlife have been noticeably influenced by climate change, leading to concerns about sustainable populations. Recent studies exploring conditions influencing autumn migration departure have provided conflicting insights regarding factors influencing the movements of Mallards (Anas platyrhynchos), a popular game species. We determined factors affecting timing and magnitude of long-distance movements of 97 juvenile Mallards during autumn-winter across the midcontinent of North America marked with implanted transmitters in North and South Dakota, 2018-2019. Factors influencing variation in movement timing, along with direction and magnitudes, depended on type of movement (i.e., regional [25-310 km], initial migration, or subsequent migration movements [>310 km]). Photoperiod influenced probability of initiating all movements, although the effect was most influential for regional movements. Minimum temperature most influenced initial migration events (probability of movement increased 29% for each 1°C decrease); favorable winds also increased likelihood of initial migration events. Probability of subsequent migration events increased 80% for each 1 cm increase in depth of snow. Subsequent migration movements also were 2.0 times more likely to occur on weekend days, indicating disturbance from humans may influence movements. Migration distances increased 166 km for each 1°C reduction in minimum temperature. We also observed markedly different autumn-winter distributions of marked birds between years. Median locations during autumn-winter 2018-2019 were ~250 km farther north and ~300 km farther west during mid-December-January compared to the same time in 2019-2020. Concurrently, harvest rates for marked females and males were 10% and 26% during autumn-winter 2018-2019 and 26% and 31% during autumn-winter 2019-2020. Climate-related changes may result in increasingly variable autumn-winter distributions, with implications for wildlife recreationalists, conservation planners, and harvest managers.

Behavioral Determinants of Physical Activity Among Secondary School Students Aged 14-15Years in Cambodia.

There is little known about physical activity (PA) behaviors and its determinants in Cambodian adolescents, particularly with regard to the home and school settings. Therefore, we aimed to investigate these behaviors and determinants on their PA. The samples collected were from 168 high school students, aged 14-15years. They were requested to complete the self-report PA questionnaire. Time spent in PA during weekday and weekend by school location and gender, and determinants on PA were analyzed. Differences in the mean values of the PA levels (in minutes) during weekday and the weekend between genders, and between school locations were analyzed using independent sample t tests. The percentage of students' perceptions on the determinants were calculated. Chi-squared test was used to compare the differences in prevalence of students' activities during their free time with respect to school location and gender. The majority of the parents (86.9%-98.2%) demonstrated strong support for their children for academic work. Rural students spent an average time of moderate-to-vigorous PA greater than their counterparts from the urban areas during their weekend days (329.1 vs 239.2min, respectively). Moderate to vigorous PA was likely to be higher during the weekends compared with weekdays among the boys (387.9 vs 361.4min, respectively). Girls were more likely to spend their time on moderate to vigorous PA during the weekdays compared with the weekends (205.4 vs 180.5min, respectively). Consideration should be given to gender, school location, free time, and the environmental setting for the contextualization of more effective PA interventions with Cambodian youths.

Domains matter: Cross-sectional associations between mental well-being and domain specific physical activity and sedentary behaviour in n=31,818 adults in Scotland

Mental wellbeing is an important protective factor for health. This study aimed to investigate the domain-specific associations for physical activity and sedentary behaviours with different levels of mental wellbeing. We pooled data from the nationally representative 2012–2019 Scottish Health Surveys (31,818 adults (≥16 years); 52.3% female). Respondents reported domain-specific physical activity over the previous four weeks and average domain-specific daily sitting time for week and weekend days. Mental wellbeing was assessed using the Warwick-Edinburgh Mental Wellbeing Scale. Associations were investigated using cubic spline and multinomial regressions progressively adjusted for demographic variables, body mass index, self-reported general health, and other movement behaviours. The majority of the sample (71.2%) had a medium mental wellbeing score with 15.2% and 13.5% in the low and high categories respectively. The findings indicated that home-based heavy manual (including gardening and DIY), walking, sport and exercise, and leisure time sitting were all positively associated with mental wellbeing. There was no association evident for heavy housework or occupational sitting, and high levels of TV/screen time sitting were negatively associated with mental wellbeing. Activity at work presented a mixed picture. For walking and sport and exercise, the relationship differed by mental wellbeing level. The findings of this large population level study extend the argument that domains and types of activity matter, and not all physical activity and sedentary behaviour is equal in terms of mental wellbeing. Additionally, the relationship between some activity and mental wellbeing can vary depending on levels of mental wellbeing.

Urban Traffic Flow Congestion Prediction Based on a Data-Driven Model

Intelligent transportation systems need to realize accurate traffic congestion prediction. The spatio-temporal features of traffic flow are essential to analyze and predict congestion. Our study proposes a data-driven model to predict the traffic congested flow. Firstly, the traffic zone/grid method is used to store the local area roads’ average speed of the vehicles. Second, the discrete snapshot set is proposed to characterize traffic flow’s spatial and temporal features over a continuous period. Third, the evolution of traffic congested flow in various time dimensions (weekly days, weekend days, and one week) is examined by transforming the global urban transportation network into traffic zones. Finally, the data-driven model is constructed to predict urban road traffic congestion by using the extracted spatio-temporal characteristics of traffic zones’ traffic flow, the snapshot set of which serves as inputs for this model. The model adopts the convolutional LSTM network to learn the temporal and local spatial features of traffic flow, while utilizing a convolutional neural network to effectively capture the global spatial features inherent in traffic flow. The numerical experiments are conducted on two cities’ transportation networks, and the results demonstrate that the performance of the proposed model outperforms traditional traffic flow prediction models.

Does Wrist-Worn Accelerometer Wear Compliance Wane over a Free-Living Assessment Period? An NHANES Analysis.

Accelerometers are used to objectively measure physical behaviors in free-living environments, typically for seven consecutive days or more. We examined whether participants experience "wear fatigue," a decline in wear time day over day, during typical assessment period acquired in a nationally representative sample of 6- to 80-yr-olds in the United States. Participants were instructed to wear an ActiGraph GT3X+ on their nondominant wrist continuously for seven consecutive days. Participants with seven complete days of recorded data, regardless of wear status, were included in the analyses ( N = 13,649). Wear was scored with the sleep, wake, and nonwear algorithm. Participants averaged 1248 ± 3.6 min·d -1 (mean ± SE) of wear over the assessment, but wear time linearly decreased from day 1 (1295 ± 3.2 min) to day 7 (1170 ± 5.3 min), resulting in a wear fatigue of -18.1 ± 0.7 min·d -1 ( β ± SE). Wear fatigue did not differ by sex but varied by age-group-highest in adolescents (-26.8 ± 2.4 min·d -1 ) and lowest in older adults (-9.3 ± 0.9 min·d -1 ). Wear was lower in evening (1800-2359 h) and early morning (0000-0559 h) compared with the middle of the day and on weekend days compared with weekdays. We verified similar wear fatigue (-23.5 ± 0.7 min·d -1 ) in a separate sample ( N = 14,631) with hip-worn devices and different wear scoring. Applying minimum wear criteria of ≥10 h·d -1 for ≥4 d reduced wear fatigue to -5.3 and -18.7 min·d -1 for the wrist and hip, respectively. Patterns of wear suggest noncompliance may disproportionately affect estimates of sleep and sedentary behavior, particularly for adolescents. Further study is needed to determine the effect of wear fatigue on longer assessments.

Daily physical activity in children enrolled in extracurricular activity

This study aimed to verify and compare the physical activity practices of children enrolled and non-enrolled on different days of week in a specific program offered at school. Seventy-eight children comprised two groups: children with extra physical activity (EPA; n=39; 15 females and 24 males; age: 9.2±0.8 years) and those with no involvement in extra physical activity (NPA; n=39; 21 females and 18 males; age: 9.0±0.4 years). To infer caloric expenditure, number of steps per day, and total distance traveled, children were monitored with pedometers during three nonconsecutive days: a day with a physical education class at school, a normal activity weekday, and a weekend day. Children enrolled in extra activities at school presented higher levels of caloric expenditure (EPA=132±61, NPA=61±25), performed more steps per day (EPA=7742±2473, NPA=5245±2306) and traveled longer distances (EPA=4201±1318, NPA=2799±1269), with boys (calories=154.1±91.6; steps=9763±3804; traveled distance=5114±2205) more active than girls (calories=94.4±46.7; steps=6691±2394; traveled distance=3726±1387). In the extracurricular physical activity day, children expended more calories (155.8±88.3), performed mores steps (10133±3724) and traveled longer distance (5442±2118) than in the physical education day (calories=127.2±79.3; steps=8409±3283; traveled distance=4478±1864) and in the weekend (calories=96.8±58.8; steps=6493±2687; traveled distance=3500±1466). Extracurricular physical activity at school leads to an increase of physical activity of boys and girls, even on days when the extracurricular activity is not offered.

Post-COVID-19 Total and Domain-specific Sedentary Behaviors in Saudi Adults

Objectives: Although previous research reported prevalence of sedentary behavior (SB) during the COVID-19 pandemic, the prevalence of SB in the post-COVID-19 era remains unexplored. Prevalence, patterns, and determinants of post-COVID-19 total SB, and domain-specific SB in Saudi adults was examined. Methods: Participants (N=1,255; 55% females; 50% aged 20 to 29 years old) completed a Web-based survey (December 2, 2022 ‐ January 25, 2023). The Arabic version of the Sedentary Behavior Questionnaire estimated SBs (hours/day) during weekdays and weekend days. Respondents self-reported personal, anthropometric, and socioeconomical variables. Wilcoxon signed-rank tests assessed patterns of total and domain-specific SB and Kruskal-Wallis tests evaluated its determinants. Results: Most participants (54.7%) spent excessive time (≥8 hours/day) in total SB especially during weekdays (p&lt;.001). Leisure-time SB was higher compared to other domain-specific SB (p&lt;.001). Occupational-time SB was higher on weekdays while leisure-time SB was higher during weekends days (p&lt;.001). No statistically significant differences were found for transportational-time SB. Age and occupation were the main determinants of SB (p&lt;.005) while other correlates had more complex associations. Conclusions: Current efforts to reduce SB and suggest that Saudi policymakers, physicians, and researchers target not only daily total SB, but also domain-specific SB, especially in the post-COVID-19 era.