Shelfie

BackgroundThe majority of young people do not meet the recommendations on physical activity for health. New innovative ways to motivate young people to adopt a physically active lifestyle are needed.ObjectiveThe study aimed to study the feasibility of an automated, gamified, tailored Web-based mobile service aimed at physical and social activation among young men.MethodsA population-based sample of 496 young men (mean age 17.8 years [standard deviation 0.6]) participated in a 6-month randomized controlled trial (MOPO study). Participants were randomized to an intervention (n=250) and a control group (n=246). The intervention group was given a wrist-worn physical activity monitor (Polar Active) with physical activity feedback and access to a gamified Web-based mobile service, providing fitness guidelines, tailored health information, advice of youth services, social networking, and feedback on physical activity. Through the trial, the physical activity of the men in the control group was measured continuously with an otherwise similar monitor but providing only the time of day and no feedback. The primary outcome was the feasibility of the service based on log data and questionnaires. Among completers, we also analyzed the change in anthropometry and fitness between baseline and 6 months and the change over time in weekly time spent in moderate to vigorous physical activity.ResultsMobile service users considered the various functionalities related to physical activity important. However, compliance of the service was limited, with 161 (64.4%, 161/250) participants visiting the service, 118 (47.2%, 118/250) logging in more than once, and 41 (16.4%, 41/250) more than 5 times. Baseline sedentary time was higher in those who uploaded physical activity data until the end of the trial (P=.02). A total of 187 (74.8%, 187/250) participants in the intervention and 167 (67.9%, 167/246) in the control group participated in the final measurements. There were no differences in the change in anthropometry and fitness from baseline between the groups, whereas waist circumference was reduced in the most inactive men within the intervention group (P=.01). Among completers with valid physical activity data (n=167), there was a borderline difference in the change in mean daily time spent in moderate to vigorous physical activity between the groups (11.9 min vs −9.1 min, P=.055, linear mixed model). Within the intervention group (n=87), baseline vigorous physical activity was inversely associated with change in moderate to vigorous physical activity during the trial (R=−.382, P=.01).ConclusionsThe various functionalities related to physical activity of the gamified tailored mobile service were considered important. However, the compliance was limited. Within the current setup, the mobile service had no effect on anthropometry or fitness, except reduced waist circumference in the most inactive men. Among completers with valid physical activity data, the trial had a borderline positive effect on moderate to vigorous physical activity. Further development is needed to improve the feasibility and adherence of an integrated multifunctional service.Trial registrationClinicaltrials.gov NCT01376986; http://clinicaltrials.gov/ct2/show/NCT01376986 (Archived by WebCite at http://www.webcitation.org/6tjdmIroA)

Purpose To analyse physical activity of patients during their hospital stay and to explore the relationship between physical activity and barriers to physical activity. Methods This was a secondary analysis of physical activity data for patients admitted to the internal medicine and surgical wards. Physical activity data, collected with a wireless patch sensor, was operationalized as time spent lying, sitting/standing, and walking. Barriers to physical activity included patients’ pain levels, the use of urinary catheters, intravenous tubing, oxygen lines, drains, and level of dependence. Regression analysis explored the relationship between physical activity and barriers to physical activity. Results Physical activity data were collected in 39 patients (aged 27–88, mean 54 years) during hospital stay. Patients were admitted for a median of 10 d (interquartile range [IQR]: 7–15 d). These patients were lying for a median of 12.1 h (7.6–17.7), sitting/standing 11.8 h (6.3–15.7), and walking 0.1 h (0–0.3) per day. Time lying during the day related to pain levels (β = 0.4 h per unit increase in pain, p < 0.01) and drain use (β = 3.1 h, p < 0.01). Conclusions Patients spent the most time during the hospital stay lying in bed. Improved pain management and decreased drain use may be worth exploring to increase inpatient physical activity. Implications for rehabilitation Continuous monitoring of physical activity in patients during hospital stay is an important tool for health care professionals to improve multidisciplinary care and rehabilitation. Health care professionals should be aware of the necessity of adequate pain management and critically review the use of drains in order to improve physical activity of patients during hospital stay. Patients need extra support of health care professionals to increase physical activity during consecutive days of their hospital stay.

Gardening and Cardiovascular Disease Risk Factors in the 2019 Behavioral Risk Factor Surveillance System (BRFSS) Survey

Digital Technology Use in US Community-Dwelling Seniors With and Without Homebound Status

Digital atomic scale fabrication an inverse Moore's Law – A path to atomically precise manufacturing

To investigate in prepubertal children whether physical fitness and/or physical activity are: 1) associated with insulin secretion and sensitivity and 2) account for racial differences in insulin secretion and sensitivity. Subjects included 34 African American and 34 white nondiabetic children aged 5 to 11 years. Data were divided into two sets according to the availability of VO2max and physical activity data. Body composition was measured by dual-energy X-ray absorptiometry. Subcutaneous abdominal adipose tissue and intra-abdominal adipose tissue were examined by computed tomography. Insulin sensitivity (S1) and acute insulin response (AIR) were determined by a frequently sampled intravenous glucose tolerance test. An all-out, progressive treadmill exercise test was used for measuring VO2max. Physical activity data were collected by questionnaire. African American children had lower SI and higher AIR than white children, after adjusting for total body fat mass. African Americans reported higher levels of physical activity (hours/wk) than whites, but had a lower VO2max. In multiple linear regression analysis, hours/wk of activity and hours/wk of vigorous activity, but not moderate activity, were independently related to SI and AIR after adjusting for race, total body fat mass or fat distribution, and total lean tissue mass. VO2max was not related to AIR, and was inversely related to SI, after adjusting for body composition. Race remained significantly associated with both SI and AIR, even after adjusting for body composition, fat distribution, and hours/wk of activity or hours/wk of vigorous activity. In summary, overall physical activity and, especially, vigorous activity were associated with insulin secretion and sensitivity. However, neither physical activity nor VO2max explained the racial difference in insulin secretion (higher in African Americans) and sensitivity (lower in African Americans). Thus, racial (African American to white) differences in aspects of insulin action seem to be due to factors other than body composition, fat distribution, cardiovascular fitness, and amount of physical activity.

TPS1589 Background: The emergence of immune checkpoint inhibitors has improved survival outcomes for patients with advanced melanoma. However, these treatment modalities are also associated with specific immune-related toxicities. These are often reversible after prompt recognition and initiation of appropriate management, but can result in severe morbidity and hamper health-related quality of life (HRQoL) if left undetected. Hence, accurate and regular monitoring of these patients is critical. Recent advances in mHealth technologies and the rapidly expanding armamentarium of wearable devices allow for real-time objective (vital signs and physical activity) data and patient-reported outcome measurement (PROMs) collection and, hence, serve this purpose. We hypothesize that collection of real-time objective data adds to the early detection of disease- and treatment-related adverse events. The primary objective of this study is to determine the feasibility of collecting real-time PROMs, vital signs, and physical activity data in advanced melanoma patients receiving immunotherapy using a comprehensive ambulatory monitoring platform (CAMP) that consists of a smartphone app, activity monitor, digital thermometer, and online dashboard for physicians. Methods: In this prospective multi-center trial, patients (n = 50) with advanced melanoma, scheduled to receive immunotherapy with immune checkpoint inhibitors, and with access to a smartphone are eligible for inclusion. Consenting patients will be asked to wear a FitBit Versa 2.0 during waking hours, collect daily temperature measurements using a Withings Smart Temporal thermometer, and answer weekly toxicity questionnaires (NCI PRO-CTCAE) using the smartphone app for the duration of the study (12 weeks). Primary outcome is feasibility in terms of (i) participation rates, (ii) wear-time, (iii) compliance rates with in-app questionnaires and temperature measurements, and (iv) satisfaction with the platform. Secondary exploratory outcomes include associations between CAMP-derived parameters and clinical outcomes: performance status (PS), HR-QoL scores (EORTC QLQ-C30 questionnaire), unplanned hospitalizations, physician-assessed adverse events, and 1-year survival outcomes. PS and HR-QoL will be rated at baseline, mid-study, and end-of-study. The occurrence of adverse events will be documented up to 12 months from baseline. Survival outcomes will be compared to a propensity score matched group from the Netherlands Cancer Registry. Accrual has started in February 2021. Clinical trial information: NL8827.

Rationale&#x0D; Consistent physical activity (PA) is key for health and well-being; however, various events (e.g., pandemic outbreaks, acute diseases) can act as stressors for PA, and thus may be followed by a decrease in PA levels. The process of recovering from such stressors and bouncing back to the previous state of PA can be referred to as resilience. Quantifying resilience is fundamental to assess the impact of stressors on daily PA and to identify factors and strategies to foster adaptive capacities. However, PA time series are typically characterized by evident daily fluctuations that mask the underlying trajectory and, therefore, prevent from detecting the point in time when the system consistently recovers from the stressor. Objective: In this paper, we present a methodological approach to identify the recovery point and ultimately quantify the resilience process from PA data using the area under the curve (AUC). Methods: As use case to illustrate the methodology, we quantified resilience in step count for eight participants following the stressor represented by the start of the first COVID-19 lockdown (March 15, 2020). Step count time series were collected in Barcelona, as part of the COVICAT study, in the period between October 1, 2019 and September 30, 2020. Steps were collected daily using wrist-worn devices. The methodology is implemented in R and a tutorial is available on Open Science Framework. Results: We applied the following analytical steps to each participant’s time series. 1) We calculated the pre-stressor baseline level for step count as the median step count before the first COVID-19 lockdown. 2) We fitted multiple growth models (i.e., linear, quadratic, generalized additive) to each participant’s post stressor time series and identified the best model using the Root Mean Squared Error (RMSE). 3) We used the fitted values from the selected model to identify the point in time when the participants recovered from the stressor (bouncing back to the baseline level). 4) We quantified the AUC and, ultimately, resilience as the cumulative difference between baseline level and each fitted value before the recovery point. Further resilience features were extracted to capture the different aspects of the process and will be presented. Conclusions: Our contribution offers a methodological guide to quantify resilience from PA data and proposes a ready-to-go toolbox that can be easily applied by interested researchers and foster further scientific investigation in different ways. For instance, it allows to i) explore the determinants of the resilience process for PA, ii) identify intervention strategies that improve individuals’ adaptive capacities and promote faster resilience, and iii) use the provided indicators of resilience as outcomes to test the effectiveness of interventions aiming at reducing the impact of stressors on PA.

Monitoring changes in physical activity data during strength training of people with myotonic dystrophy type 1

Healthy People (HP) 2020 objectives have emphasized the need to improve the percentage of patients receiving physical activity counseling with each office visit. Previous data indicates that opportunities are overlooked to provide counseling to chronic disease patients by hospital health care providers. Southern Virginia has greater health disparities than other regions of Virginia. PURPOSE: To determine how often hospital providers/preceptors had recorded physical activity when patients were diagnosed with a chronic disease where physical activity could promote positive outcomes. METHODS: Eight hundred seventy seven (n = 877) medical records were obtained from three hospitals in southern Virginia. Records were analyzed for the prevalence of chronic diseases utilizing International Classification for Disease, 9th edition (ICD-9) codes. Lifestyle/social history, history and physical exam notes, and any laboratory testing data were entered into Qualtrics, LLC software. IBM SPSS Version 22 was used for analysis of physical activity data and chronic disease frequencies. RESULTS: Facility 1, 2, and 3 had recorded there was no data regarding physical activity in 76.6, 90.3, and 95.3% of the medical records reviewed, respectively. Additionally, facility 1, 2, and 3 had no physical activity data acknowledged in 1.5, 26.0, and 24.9% of patient records, respectively. Moderate to vigorous physical activity was documented in 9.9, 3.2, and 2.8% of those same facilities, respectively. Among all records, 8.8% (n=77), 25.5% (n= 224) and 56.2% (n= 493) indicated patient diagnosis of cancer, diabetes mellitus, and cardiovascular disease, respectively. CONCLUSION: A tremendous opportunity to impact healthy behavior changes is missed in over three fourths of hospital provider-patient consultations. Medical education should place more emphasis on utilizing this teachable moment and encourage more rigorous patient physical activity. Physician assessment of patient physical activity is necessary to encourage future providers to practice preventive medicine and reduce chronic disease rates and achieve HP 2020 goals. Supported by Appalachian Research Initiative for the Environmental Sciences, Virginia Coal and Energy Center, Virginia Tech

BackgroundChronic musculoskeletal pain (CMP) is a major public health issue given its high prevalence and negative consequences on pain and physical function. One potential approach to mitigate the symptoms of...

Sport and energy drinks consumption before, during and after training

Parkinson's disease (PD) is an age dependent neurodegenerative disorder with increasing prevalence. Digital technologies like computers and smartphones offer mobile telecommunication, diagnostic and monitoring and may connect the patient continuously with his healthcare team, providing disease related information, and support healthcare. Since the use of these technologies in western civilization is age dependent, possession and usage cannot be regarded as given in PD. In contrast to increasing efforts to implement digital technology into PD patient care, little is known about the use of computers, smartphones, and internet-affinity in PD patients. To evaluate the use of digital technologies in different age groups of PD patients. We developed a questionnaire adapted to the annual German microcensus on "use of digital communication technologies", allowing a comparison to the general population in Germany. 190 PD patients completed the questionnaire. About 75% of PD patients access disease related information on the internet. Patients across all age groups used computers and the internet as frequent or more frequently compared to the German population. Use of computers, smartphones, and the internet in PD was age dependent. Advanced PD patients with higher motor impairment used smartphones less often, while mobile phone usage was not reduced. The adoption of a digital lifestyle is present in the PD population, apart from smartphone usage, which is impaired by motor symptoms. Thus, future healthcare technologies are not hampered by the inability of PD patients to use the necessary tools, however, fine motor-skill requirements have to be acknowledged.

Neighborhood walking environment is an environmental issue affecting human health-related behaviors in China and worldwide. High school is a special period in China, during which students need to prepare for the college entrance examination and are physically inactive. Therefore, the influence of environment on high school students’ physical activities is particularly prominent. The purpose of this study was to examine the relationship between neighborhood environment walkability and physical activity in Chinese youth. We conducted a retrospective questionnaire study on 3424 freshmen from Tsinghua University in Beijing, China. The mean age at the moment of completing the questionnaire was 18.74 years (SD = 0.95) and the mean body mass index (BMI) was 21.37 kg/m2 (SD = 2.86). Participants were asked to look back on their usual weekly physical activity and perceived neighborhood environment during high school. Neighborhood environment was measured using the Neighbourhood Environment Walkability Scale for Youth (NEWS-Y). Physical activity data by the Global Physical Activity Questionnaire (GPAQ) were collected. The data were analyzed using multiple linear regression. The mean scale total score of NEWS-Y was 14.66 (SD = 1.30). Participants on average engaged in 754.46 (SD = 844.69), 479.79 (SD = 687.24), 920.47 (SD = 994.92), and 2172.72 (SD = 1736.21) MET-minutes/week of travel physical activity (travel PA), moderate physical activity (MPA), vigorous physical activity (VPA), and total physical activity (total PA), respectively. A one scale score increases in neighborhood walkable environmental was associated with an increase in travel PA and MPA by 42.64 (P < 0.001) and 31.11 (P < 0.01) MET-minutes/week, respectively. A possibly positive correlation between neighborhood environment walkability and physical activity was found. Future studies are warranted to replicate this study's findings, as well as provide evidence for potential policies to make neighborhood environment conducive to physical activity.

Everyday digital technologies such as social media, gaming, and internet use are deeply integrated into the lives of children, adolescents, and young adults. While these platforms can foster connection, learning, and entertainment, concerns have grown about their potential to influence mental, physical, and social well-being. Research on this topic has expanded rapidly over the past decade, yet much of it remains cross-sectional, limiting insights into long-term outcomes. Longitudinal studies are essential to capture evolving patterns of digital engagement, identify causal relationships, and guide effective policies and interventions that support youth in navigating digital environments. In particular, evidence is needed to distinguish between beneficial and harmful forms of digital engagement, such as social connection versus problematic use, and to understand how these impacts differ across diverse populations and contexts. The COVID-19 pandemic further accelerated young people's technology use, underscoring the urgency of examining both risks and opportunities. This review, therefore, synthesizes longitudinal research to map trends, identify knowledge gaps, and inform future directions. The study aimed to systematically identify and map longitudinal studies examining associations between everyday digital technology use (eg, social media, gaming, and internet use) and the health and well-being of youth (25 years or younger) and to chart the types of evidence available by technology category, outcomes, and geographical setting in order to highlight key gaps for future research. A systematic search of PubMed, Embase, and PsycArticles (2014-2024) was conducted and reported in accordance with PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews). Data extraction covered demographics, digital technology categories, and health outcomes. Studies were grouped into 6 key themes: social media use and mental health, digital addiction and behavioral outcomes, physical activity and digital technology, digital health technologies and cognitive development, parental influence and digital technology, and digital well-being and risk behaviors. Of the 456 studies identified, 267 were longitudinal studies relevant to our research aims. Internet use (n=201 studies), social media (n=140 studies), and gaming (n=83 studies) dominated the themes. Mental health was the most frequently assessed outcome, with a focus on anxiety and depression. Geographically, 15% (40/267) of studies originated from low- and middle-income countries, with the majority from high-income settings such as the United States (n=76 studies) and Australia (n=15 studies). Nearly half (131/267, 49%) were published post 2020, reflecting heightened interest during the COVID-19 pandemic. Longitudinal evidence on everyday digital technology use and youth health is growing but remains concentrated in mental health outcomes and high-income settings, with notable gaps in physical health, educational outcomes, and equity-focused research. These findings highlight the need for more diverse, methodologically robust longitudinal studies to inform context-sensitive policies and interventions that balance the risks and benefits of digital engagement for young people.