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JCO Clinical Cancer Informatics Sep 2023Performance status (PS) is a crucial assessment for research and clinical practice in lung cancer (LC), including its usage for the assessment of the suitability and... (Review)
Review
Data-Driven Personalized Care in Lung Cancer: Scoping Review and Clinical Recommendations on Performance Status and Activity Level of Patients With Lung Cancer Using Wearable Devices.
PURPOSE
Performance status (PS) is a crucial assessment for research and clinical practice in lung cancer (LC), including its usage for the assessment of the suitability and toxicity of treatment or eligibility for clinical trials of patients with LC. These PS assessments are subjective and lead to substantial discrepancies between observers. To improve the objectivity of PS assessments, Electronic Activity Monitoring devices (EAMs) are increasingly used in oncology, but how these devices are used for PS assessments in LC is an issue that remains unclear. The goal of this study is to address the challenges and opportunities of the use of digital tools to support PS assessments in patients with LC.
METHODS
The literature review followed PRISMA-ScR methodology. Searches were performed in the ScienceDirect, PsycInfo, ACM, IEEE Xplore, and PubMed databases. Furthermore, a panel discussion was performed to address the clinical use cases.
RESULTS
Thirty-two publications were found. Most of the studies used wrist accelerometry-based wearables (59%) and monitored sleep activity (SA; 28%) or physical activity (PA; 72%). Critical findings include positive usefulness of the use of wearables to categorize moderate-to-vigorous/light PA, which was associated with better sleep and health. In addition, steps and time awake immobile were found to be associated with risk of hospitalization and survival. Use cases identified included the health assessment of patients and clinical research.
CONCLUSION
There are positive experiences in the use of EAM to complement PS assessment in LC. However, there is a need for adapting thresholds to the particularities of patients with LC, for example, differentiating moderate-to-vigorous and light. Moreover, developing methodologies combining PS assessments and the use of EAM adapted to clinical and research practice is needed.
Topics: Humans; Lung Neoplasms; Exercise; Accelerometry; Wearable Electronic Devices; Sleep
PubMed: 37922433
DOI: 10.1200/CCI.23.00016 -
The International Journal of Behavioral... Oct 2023How time is allocated influences health. However, any increase in time allocated to one behaviour must be offset by a decrease in others. Recently, studies have used... (Review)
Review
BACKGROUND
How time is allocated influences health. However, any increase in time allocated to one behaviour must be offset by a decrease in others. Recently, studies have used compositional data analysis (CoDA) to estimate the associations with health when reallocating time between different behaviours. The aim of this scoping review was to provide an overview of studies that have used CoDA to model how reallocating time between different time-use components is associated with health.
METHODS
A systematic search of four electronic databases (MEDLINE, Embase, Scopus, SPORTDiscus) was conducted in October 2022. Studies were eligible if they used CoDA to examine the associations of time reallocations and health. Reallocations were considered between movement behaviours (sedentary behaviour (SB), light physical activity (LPA), moderate-to-vigorous physical activity (MVPA)) or various activities of daily living (screen time, work, household chores etc.). The review considered all populations, including clinical populations, as well as all health-related outcomes.
RESULTS
One hundred and three studies were included. Adiposity was the most commonly studied health outcome (n = 41). Most studies (n = 75) reported reallocations amongst daily sleep, SB, LPA and MVPA. While other studies reported reallocations amongst sub-compositions of these (work MVPA vs. leisure MVPA), activity types determined by recall (screen time, household chores, passive transport etc.) or bouted behaviours (short vs. long bouts of SB). In general, when considering cross-sectional results, reallocating time to MVPA from any behaviour(s) was favourably associated with health and reallocating time away from MVPA to any behaviour(s) was unfavourably associated with health. Some beneficial associations were seen when reallocating time from SB to both LPA and sleep; however, the strength of the association was much lower than for any reallocations involving MVPA. However, there were many null findings. Notably, most of the longitudinal studies found no associations between reallocations of time and health. Some evidence also suggested the context of behaviours was important, with reallocations of leisure time toward MVPA having a stronger favourable association for health than reallocating work time towards MVPA.
CONCLUSIONS
Evidence suggests that reallocating time towards MVPA from any behaviour(s) has the strongest favourable association with health, and reallocating time away from MVPA toward any behaviour(s) has the strongest unfavourable association with health. Future studies should use longitudinal and experimental study designs, and for a wider range of outcomes.
Topics: Humans; Activities of Daily Living; Cross-Sectional Studies; Exercise; Obesity; Adiposity; Sleep; Accelerometry
PubMed: 37858243
DOI: 10.1186/s12966-023-01526-x -
Sensors (Basel, Switzerland) Sep 2023Measurement of real-world physical activity (PA) data using accelerometry in older adults is informative and clinically relevant, but not without challenges. This review... (Review)
Review
Measurement of real-world physical activity (PA) data using accelerometry in older adults is informative and clinically relevant, but not without challenges. This review appraises the reliability and validity of accelerometry-based PA measures of older adults collected in real-world conditions. Eight electronic databases were systematically searched, with 13 manuscripts included. Intraclass correlation coefficient (ICC) for were: walking duration (0.94 to 0.95), lying duration (0.98 to 0.99), sitting duration (0.78 to 0.99) and standing duration (0.98 to 0.99). ICCs for ranged from 0.24 to 0.82 for step counts and 0.48 to 0.86 for active calories. ranged from 5864 to 10,832 steps and for active calories from 289 to 597 kcal. ICCs for for step count were 0.02 to 0.41, and for active calories 0.07 to 0.93. for step count ranged from 0.83 to 0.98. Percentage of agreement for walking ranged from 63.6% to 94.5%; for lying 35.6% to 100%, sitting 79.2% to 100%, and standing 38.6% to 96.1%. between step count and criteria for moderate-to-vigorous PA was = 0.68 and 0.72. Inter-rater reliability and criterion validity for walking, lying, sitting and standing duration are established. Criterion validity of step count is also established. Clinicians and researchers may use these measures with a limited degree of confidence. Further work is required to establish these properties and to extend the repertoire of PA measures beyond "volume" counts to include more nuanced outcomes such as intensity of movement and duration of postural transitions.
Topics: Independent Living; Reproducibility of Results; Exercise; Walking; Accelerometry
PubMed: 37688071
DOI: 10.3390/s23177615 -
Journal of Human Kinetics Jul 2023The primary aim of this systematic review was to summarize the current state of research in relation to external load monitoring in female basketball. The review was...
The primary aim of this systematic review was to summarize the current state of research in relation to external load monitoring in female basketball. The review was conducted according to the PRISMA-P® statement. Publications included in the review: 1) were original research, 2) evaluated healthy female basketball players, and 3) monitored basketball practice and competition. The STROBE scale was used to assess quality. A total of 40 publications were included. The external load was assessed during practice (n = 9), competition (n = 11) or both events (n = 8). Also, time-motion analysis was implemented in practice (n = 2), competition (n = 9), or both events (n = 1). Accelerometry (n = 28) and time-motion (n = 12) analysis were the most frequently used methods. However, a wide range in methods and variables were used to quantify the external load. Placement of devices on the upper back and measuring with a sampling frequency of 100 Hz were most common. Player Load (PL) values increased with the competitive level of players and were higher in competition compared to training. Small-sided games can be used to gradually increase loads in female basketball (PL 5v5: 34.8 ± 8, PL 3v3: 47.6 ± 7.4, TD 5v5: 209.2 ± 35.8 m, and TD 3v3: 249.3 ± 2.8 m). Tasks without defense seemed to be less demanding. More research is needed to reach a consensus on load control in women's basketball, on what data are important to collect, and how to use and transfer knowledge to stakeholders.
PubMed: 37559766
DOI: 10.5114/jhk/166881 -
Journal of Medical Internet Research Jul 2023Wearable sensor technologies have the potential to improve monitoring in people with multiple sclerosis (MS) and inform timely disease management decisions. Evidence of... (Review)
Review
BACKGROUND
Wearable sensor technologies have the potential to improve monitoring in people with multiple sclerosis (MS) and inform timely disease management decisions. Evidence of the utility of wearable sensor technologies in people with MS is accumulating but is generally limited to specific subgroups of patients, clinical or laboratory settings, and functional domains.
OBJECTIVE
This review aims to provide a comprehensive overview of all studies that have used wearable sensors to assess, monitor, and quantify motor function in people with MS during daily activities or in a controlled laboratory setting and to shed light on the technological advances over the past decades.
METHODS
We systematically reviewed studies on wearable sensors to assess the motor performance of people with MS. We scanned PubMed, Scopus, Embase, and Web of Science databases until December 31, 2022, considering search terms "multiple sclerosis" and those associated with wearable technologies and included all studies assessing motor functions. The types of results from relevant studies were systematically mapped into 9 predefined categories (association with clinical scores or other measures; test-retest reliability; group differences, 3 types; responsiveness to change or intervention; and acceptability to study participants), and the reporting quality was determined through 9 questions. We followed the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) reporting guidelines.
RESULTS
Of the 1251 identified publications, 308 were included: 176 (57.1%) in a real-world context, 107 (34.7%) in a laboratory context, and 25 (8.1%) in a mixed context. Most publications studied physical activity (196/308, 63.6%), followed by gait (81/308, 26.3%), dexterity or tremor (38/308, 12.3%), and balance (34/308, 11%). In the laboratory setting, outcome measures included (in addition to clinical severity scores) 2- and 6-minute walking tests, timed 25-foot walking test, timed up and go, stair climbing, balance tests, and finger-to-nose test, among others. The most popular anatomical landmarks for wearable placement were the waist, wrist, and lower back. Triaxial accelerometers were most commonly used (229/308, 74.4%). A surge in the number of sensors embedded in smartphones and smartwatches has been observed. Overall, the reporting quality was good.
CONCLUSIONS
Continuous monitoring with wearable sensors could optimize the management of people with MS, but some hurdles still exist to full clinical adoption of digital monitoring. Despite a possible publication bias and vast heterogeneity in the outcomes reported, our review provides an overview of the current literature on wearable sensor technologies used for people with MS and highlights shortcomings, such as the lack of harmonization, transparency in reporting methods and results, and limited data availability for the research community. These limitations need to be addressed for the growing implementation of wearable sensor technologies in clinical routine and clinical trials, which is of utmost importance for further progress in clinical research and daily management of people with MS.
TRIAL REGISTRATION
PROSPERO CRD42021243249; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=243249.
Topics: Humans; Reproducibility of Results; Sclerosis; Wearable Electronic Devices; Gait; Exercise; Multiple Sclerosis
PubMed: 37498655
DOI: 10.2196/44428 -
Journal of Medical Internet Research Jul 2023Cardiovascular disease accounts for 17.9 million deaths globally each year. Many research study data sets have been collected to answer questions regarding the... (Review)
Review
Accelerometer-Measured Physical Activity Data Sets (Global Physical Activity Data Set Catalogue) That Include Markers of Cardiometabolic Health: Systematic Scoping Review.
BACKGROUND
Cardiovascular disease accounts for 17.9 million deaths globally each year. Many research study data sets have been collected to answer questions regarding the relationship between cardiometabolic health and accelerometer-measured physical activity. This scoping review aimed to map the available data sets that have collected accelerometer-measured physical activity and cardiometabolic health markers. These data were then used to inform the development of a publicly available resource, the Global Physical Activity Data set (GPAD) catalogue.
OBJECTIVE
This review aimed to systematically identify data sets that have measured physical activity using accelerometers and cardiometabolic health markers using either an observational or interventional study design.
METHODS
Databases, trial registries, and gray literature (inception until February 2021; updated search from February 2021 to September 2022) were systematically searched to identify studies that analyzed data sets of physical activity and cardiometabolic health outcomes. To be eligible for inclusion, data sets must have measured physical activity using an accelerometric device in adults aged ≥18 years; a sample size >400 participants (unless recruited participants in a low- and middle-income country where a sample size threshold was reduced to 100); used an observational, longitudinal, or trial-based study design; and collected at least 1 cardiometabolic health marker (unless only body mass was measured). Two reviewers screened the search results to identify eligible studies, and from these, the unique names of each data set were recorded, and characteristics about each data set were extracted from several sources.
RESULTS
A total of 17,391 study reports were identified, and after screening, 319 were eligible, with 122 unique data sets in these study reports meeting the review inclusion criteria. Data sets were found in 49 countries across 5 continents, with the most developed in Europe (n=53) and the least in Africa and Oceania (n=4 and n=3, respectively). The most common accelerometric brand and device wear location was Actigraph and the waist, respectively. Height and body mass were the most frequently measured cardiometabolic health markers in the data sets (119/122, 97.5% data sets), followed by blood pressure (82/122, 67.2% data sets). The number of participants in the included data sets ranged from 103,712 to 120. Once the review processes had been completed, the GPAD catalogue was developed to house all the identified data sets.
CONCLUSIONS
This review identified and mapped the contents of data sets from around the world that have collected potentially harmonizable accelerometer-measured physical activity and cardiometabolic health markers. The GPAD catalogue is a web-based open-source resource developed from the results of this review, which aims to facilitate the harmonization of data sets to produce evidence that will reduce the burden of disease from physical inactivity.
Topics: Adult; Humans; Adolescent; Exercise; Cardiovascular Diseases; Blood Pressure; Accelerometry; Europe; Observational Studies as Topic
PubMed: 37467026
DOI: 10.2196/45599 -
Sensors (Basel, Switzerland) May 2023Compared with the gold standard, polysomnography (PSG), and silver standard, actigraphy, contactless consumer sleep-tracking devices (CCSTDs) are more advantageous for... (Meta-Analysis)
Meta-Analysis Review
Compared with the gold standard, polysomnography (PSG), and silver standard, actigraphy, contactless consumer sleep-tracking devices (CCSTDs) are more advantageous for implementing large-sample and long-period experiments in the field and out of the laboratory due to their low price, convenience, and unobtrusiveness. This review aimed to examine the effectiveness of CCSTDs application in human experiments. A systematic review and meta-analysis (PRISMA) of their performance in monitoring sleep parameters were conducted (PROSPERO: CRD42022342378). PubMed, EMBASE, Cochrane CENTRALE, and Web of Science were searched, and 26 articles were qualified for systematic review, of which 22 provided quantitative data for meta-analysis. The findings show that CCSTDs had a better accuracy in the experimental group of healthy participants who wore mattress-based devices with piezoelectric sensors. CCSTDs' performance in distinguishing waking from sleeping epochs is as good as that of actigraphy. Moreover, CCSTDs provide data on sleep stages that are not available when actigraphy is used. Therefore, CCSTDs could be an effective alternative tool to PSG and actigraphy in human experiments.
Topics: Humans; Sleep; Polysomnography; Sleep Stages; Actigraphy; Beds
PubMed: 37430756
DOI: 10.3390/s23104842 -
The Cochrane Database of Systematic... Jun 2023Although exercise is recommended as part of the cystic fibrosis (CF) therapeutic routine, adherence to exercise is still limited. Digital health technologies can provide... (Review)
Review
BACKGROUND
Although exercise is recommended as part of the cystic fibrosis (CF) therapeutic routine, adherence to exercise is still limited. Digital health technologies can provide easy-to-access health information and may help improve healthcare and outcomes in individuals with long-term conditions. However, its effects for delivering and monitoring exercise programs in CF have not yet been synthesized.
OBJECTIVES
To evaluate the benefits and harms of digital health technologies for delivering and monitoring exercise programs, increasing adherence to exercise regimens, and improving key clinical outcomes in people with CF.
SEARCH METHODS
We used standard, extensive Cochrane search methods. The latest search date was 21 November 2022.
SELECTION CRITERIA
We included randomized controlled trials (RCTs) or quasi-RCTs of digital health technologies for delivering or monitoring exercise programs in CF.
DATA COLLECTION AND ANALYSIS
We used standard Cochrane methods. Our primary outcomes were 1. physical activity, 2. self-management behavior, and 3. pulmonary exacerbations. Our secondary outcomes were 4. usability of technologies, 5. quality of life, 6. lung function, 7. muscle strength, 8. exercise capacity, 9. physiologic parameters, and 10.
ADVERSE EVENTS
We used GRADE to assess certainty of evidence.
MAIN RESULTS
We identified four parallel RCTs (three single-center and one multicenter with 231 participants aged six years or older). The RCTs evaluated different modes of digital health technologies with distinct purposes, combined with diverse interventions. We identified important methodologic concerns in the RCTs, including insufficient information on the randomization process, blinding of outcome assessors, balance of non-protocol interventions across groups, and whether the analyses performed corrected for bias due to missing outcome data. Non-reporting of results may also be a concern, especially because some planned outcome results were reported incompletely. Furthermore, each trial had a small number of participants, resulting in imprecise effects. These limitations on the risk of bias, and on the precision of effect estimates resulted in overall low- to very low-certainty evidence. We undertook four comparisons and present the findings for our primary outcomes below. There is no information on the effectiveness of other modes of digital health technologies for monitoring physical activity or delivering exercise programs in people with CF, on adverse events related to the use of digital health technologies either for delivering or monitoring exercise programs in CF, and on their long-term effects (more than one year). Digital health technologies for monitoring physical activity Wearable fitness tracker plus personalized exercise prescription compared to personalized exercise prescription alone One trial (40 adults with CF) evaluated this outcome, but did not report data for any of our primary outcomes. Wearable fitness tracker plus text message for personalized feedback and goal setting compared to wearable fitness tracker alone The evidence is very uncertain about the effects of a wearable fitness tracker plus text message for personalized feedback and goal setting, compared to wearable technology alone on physical activity measured by step count at six-month follow-up (mean difference [MD] 675.00 steps, 95% confidence interval [CI] -2406.37 to 3756.37; 1 trial, 32 participants). The same study measured pulmonary exacerbation rates and reported finding no difference between groups. Web-based application to record, monitor, and set goals on physical activity plus usual care compared to usual care alone Using a web-based application to record, monitor, and set goals on physical activity plus usual care may result in little to no difference on time spent in moderate-to-vigorous physical activity measured via accelerometry compared to usual care alone at six-month follow-up (MD -4 minutes/day, 95% CI -37 to 29; 1 trial, 63 participants). Low certainty-evidence from the same trial suggests that the intervention may result in little to no difference on pulmonary exacerbations during 12 months of follow-up (median 1 respiratory hospitalization, interquartile range [IQR] 0 to 3) versus control (median 1 respiratory hospitalization, IQR 0 to 2; P = 0.6). Digital health technologies for delivering exercise programs Web-based versus face-to-face exercise delivery The evidence is very uncertain about the effects of web-based compared to face-to-face exercise delivery on adherence to physical activity as assessed by the number of participants who completed all exercise sessions after three months of intervention (risk ratio 0.92, 95% CI 0.69 to 1.23; 1 trial, 51 participants).
AUTHORS' CONCLUSIONS
The evidence is very uncertain about the effects of an exercise program plus the use of a wearable fitness tracker integrated with a social media platform compared with exercise prescription alone and on the effects of receiving a wearable fitness tracker plus text message for personalized feedback and goal setting, compared to a wearable fitness tracker alone. Low-certainty evidence suggests that using a web-based application to record, monitor, and set goals on physical activity plus usual care may result in little to no difference in time spent in moderate-to-vigorous physical activity, total time spent in activity, pulmonary exacerbations, quality of life, lung function, and exercise capacity compared to usual care alone. Regarding the use of digital health technologies for delivering exercise programs in CF, the evidence is very uncertain about the effects of using a wearable fitness tracker plus personalized exercise prescription compared to personalized exercise prescription alone. Further high-quality RCTs, with blinded outcome assessors, reporting the effects of digital health technologies on clinically important outcome measures, such as physical activity participation and intensity, self-management behavior, and the occurrence of pulmonary exacerbations in the long term are needed. The results of six ongoing RCTs identified through our searches may help clarify the effects of different modes of digital health technologies for delivering and monitoring exercise programs in people with CF.
Topics: Adult; Humans; Cystic Fibrosis; Digital Technology; Exercise; Exercise Therapy; Multicenter Studies as Topic; Muscle Strength; Quality of Life
PubMed: 37294546
DOI: 10.1002/14651858.CD014605.pub2 -
Interactive Journal of Medical Research May 2023It remains unclear how inpatient physical activity after major abdominal surgery affects outcomes. Accelerometer research may provide further evidence for postoperative... (Review)
Review
BACKGROUND
It remains unclear how inpatient physical activity after major abdominal surgery affects outcomes. Accelerometer research may provide further evidence for postoperative mobilization.
OBJECTIVE
We aimed to summarize the current literature evaluating the impact of accelerometer-measured postoperative physical activity on outcomes after major abdominal surgery.
METHODS
We searched PubMed and Google Scholar in October 2021 to conduct a systematic review. Studies were included if they used accelerometers to measure inpatient physical behaviors immediately after major abdominal surgery, defined as any nonobstetric procedures performed under general anesthesia requiring hospital admission. Studies were eligible only if they evaluated the effects of physical activity on postoperative outcomes such as postoperative complications, return of gastrointestinal function, hospital length of stay, discharge destination, and readmissions. We excluded studies involving participants aged <18 years. Risk of bias was assessed using the risk-of-bias assessment tool for nonrandomized studies (RoBANS) for observational studies and the revised Cochrane risk-of-bias tool for randomized trials (RoB 2) for randomized controlled trials (RCTs). Findings were summarized by qualitative synthesis.
RESULTS
We identified 15 studies. Risk of bias was high in 14 (93%) of the 15 studies. Most of the studies (11/15, 73%) had sample sizes of <100. Of the 15 studies, 13 (87%) included the general surgery population, 1 (7%) was a study of patients who had undergone gynecologic surgery, and 1 (7%) included a mixed (abdominal, thoracic, gynecologic, and orthopedic) surgical population. Of the 15 studies, 12 (80%) used consumer-grade accelerometers to measure physical behaviors. Step count was the most commonly reported physical activity outcome (12/15, 80%). In the observational studies (9/15, 60%), increased physical activity during the immediate postoperative period was associated with earlier return of gastrointestinal function, fewer surgical and pulmonary complications, shorter hospital length of stay, and fewer readmissions. In the RCTs (6/15, 40%), only 1 (17%) of the 6 studies demonstrated improved outcomes (shorter time to flatus and hospital length of stay) when a mobility-enhancing intervention was compared with usual care. Notably, mobility-enhancing interventions used in 4 (67%) of the 6 RCTs did not result in increased postoperative physical activity.
CONCLUSIONS
Although observational studies show strong associations between postoperative physical activity and outcomes after major abdominal surgery, RCTs have not proved the benefit of mobility-enhancing interventions compared with usual care. The overall risk of bias was high, and we could not synthesize specific recommendations for postoperative mobilization. Future research would benefit from improving study design, increasing methodologic rigor, and measuring physical behaviors beyond step counts to understand the impact of postoperative mobilization on outcomes after major abdominal surgery.
PubMed: 37184924
DOI: 10.2196/46629 -
Diabetes Research and Clinical Practice Jun 2023To conduct a meta-analysis of differences in physical activity, sedentary behaviour, and physical fitness between children and adolescents with type 1 diabetes and their... (Meta-Analysis)
Meta-Analysis Review
AIMS
To conduct a meta-analysis of differences in physical activity, sedentary behaviour, and physical fitness between children and adolescents with type 1 diabetes and their healthy peers.
METHODS
The databases EMBASE, PubMed and SportsDiscus were searched for studies. Pooled effects were calculated using random effects inverse-variance models with the Hartung-Knapp-Sidik-Jonkman adjustment.
RESULTS
Thirty-five studies were included, comprising a total of 4,751 youths (53% girls, 2,452 with type 1 diabetes). Youth with type 1 diabetes were less physically active (Cohen's d = -0.23, 95%CI - 0.42 to -0.04), more sedentary (Cohen's d = 0.33, 95%CI 0.06 to 0.61), and had lower cardiorespiratory fitness (Cohen's d = -0.52, 95%CI - 0.73 to -0.31) than their healthy peers. This corresponds to -12.72 min/day of moderate-to-vigorous physical activity, 63.3 min/day of sedentary time (accelerometry) and -4.07 ml/kg/min of maximum/peak oxygen consumption. In addition, young people with type 1 diabetes were less likely to meet the international physical activity recommendations than their healthy peers (odds ratio = 0.44, 95%CI 0.31 to 0.62).
CONCLUSIONS
Keeping in mind the heterogeneity between studies in the design, population and assessment, our findings show that children and adolescents with type 1 diabetes seem to be less active, more sedentary, and have lower cardiorespiratory fitness levels than their healthy peers.
Topics: Female; Child; Humans; Adolescent; Male; Sedentary Behavior; Diabetes Mellitus, Type 1; Exercise; Physical Fitness; Cardiorespiratory Fitness
PubMed: 37169308
DOI: 10.1016/j.diabres.2023.110697