Physical Activity Surveillance Research Articles

Development and validation of the Global Adolescent and Child Physical Activity Questionnaire (GAC-PAQ) in 14 countries: study protocol

IntroductionGlobal surveillance of physical activity (PA) of children and adolescents with questionnaires is limited by the use of instruments developed in high-income countries (HICs) lacking sociocultural adaptation, especially in low-...

No or Low Moderate-to-Vigorous Physical Activity: Focusing on the Least Active as an Additional Approach for Physical Activity Surveillance.

No or Low Moderate-to-Vigorous Physical Activity: Focusing on the Least Active as an Additional Approach for Physical Activity Surveillance.

The Impact of Removing the 10-Minute Bout Requirement and of Different Survey Administration Methods on National Physical Activity Estimates in Austria.

Monitoring survey methods, as well as movement recommendations, evolves over time. These changes can make trend observations over time difficult. The aim of this study was to examine the differences between 2 computer-assisted survey administration methods and the effect of the omission of the 10-minute minimum bout requirement in physical activity (PA) questions on PA outcomes. We used data from the second Austrian PA Surveillance System for 2998 adults (18-64y), applying computer-assisted personal interviewing and computer-assisted web interviewing. Within the computer-assisted web interviewing sample only, we added PA questions without the 10-minute requirement. Quantile and logistic regressions were applied. Between computer-assisted web interviewing and computer-assisted personal interviewing, within the computer-assisted personal interviewing sample, we found lower PA estimates in the leisure domain and work and household domain, but not in the travel domain, and no significant difference in the proportion of people meeting the PA recommendations. In all 3 PA domains, the median minutes did not differ when assessed with or without the 10-minute requirement. However, the percentage participation in the travel domain and work and household domain performing >0minutes per week PA was higher when there was no 10-minute requirement. The proportion of people meeting the Austrian aerobic recommendation for adults when computed with or without the 10-minute requirement did not differ. Our findings suggest that the omission of the 10-minute requirement does not seem to result in marked differences in PA estimates or the proportion of adults meeting the recommendations.

Developmental Perspectives on Transitions at Age 60: Individuals Navigating Across the Lifespan (TRAILS) – latest data collection in a longitudinal JYLS study

At around age 60, people are approaching late adulthood and are typically going through or anticipating life transitions such as grandparenthood, retirement, or changes in health and functioning. The timing and perception of transitions are individual and based on current circumstances and earlier life history and may link to well-being. The TRAILS (Developmental Psychological Perspectives on Transitions at Age 60: Individuals Navigating Across the Lifespan) study, which is presented in the current article, examines the diversity and underlying factors of different transitions at around age 60 and how they associate with mental well-being. It also investigates whether these transitions link to personality characteristics, contextual resources, and/or societal challenges. The role of earlier life history in the studied associations requires a prospective multiwave design where the same participants are followed over time. Only a few longitudinal studies have examined the developmental pathways from childhood to the beginning of late adulthood. The TRAILS study continues the Jyväskylä Longitudinal Study of Personality and Social Development (JYLS). The JYLS was initiated in 1968 and includes earlier data collected from ages 8 to 50. At age 61, in 2020–21, 206 of the JYLS participants (of the initial 369 children) took part in TRAILS. The data collection included a Life Situation Questionnaire, a psychological interview, self-report inventories, a health examination and physical activity surveillance covering major areas of adult life. TRAILS extends the JYLS study to over 52 years of follow-up time and provides unique opportunities for studying individual development throughout the lifespan.

First report card on physical activity for children and adolescents in Slovakia: a comprehensive analysis, international comparison, and identification of surveillance gaps

BackgroundNational surveillance of physical activity (PA) is essential to establish public health policy actions for PA promotion and evaluation, thereby promoting accountability. The main goal of this study is to comprehensively analyse surveillance data on PA behaviours, outcomes, and influencing factors among Slovakian children and adolescents by using the methodology of the Active Healthy Kids Global Alliance Global Matrix (AHKGA-GM) project. Secondary goals are to provide comparisons with international data and the identification of surveillance gaps.MethodsA comprehensive multilevel search strategy for data about 10 core indicators and 1 additional indicator published between 2015 and 2020 (solely pre-COVID-19-pandemic data) was used. The data were then synthesised, and a set of standardised benchmarks was used to assign grades according to The Global Matrix 4.0 Grading Rubric.ResultsA total of 552 potentially relevant data resources were retrieved, of which 34 were identified as eligible for data extraction. Grade B was assigned to four core indicators, grade C to five core indicators, and grade D to one core indicator. The additional Sleep indicator was graded a C–. Compared with the average grades from countries with high Human Development Index scores, Slovakia received higher grades in five core indicators (Overall Physical Activity, Active Transportation, Sedentary Behaviours, School, Government), and in the aggregate Behavioural average and Overall average. Compared with global averages, Slovakia had higher grades in the aforementioned core and aggregate indicators, and in the Community and Environment core indicator and aggregate Sources of Influence average indicator. Numerous surveillance gaps were identified.ConclusionsThe overall grading of the available surveillance data suggests the need for improvement in all 10 surveilled core indicators, and in additional Sleep indicator. Despite the fact that numerous identified surveillance gaps limit the overall informative value of the current grade, they provide the important information needed to enhance surveillance of PA-related indicators in Slovakia. For instance, the focus should be put on younger children and parents, on obtaining the device-measured data on various movement behaviours, on the topic of outdoor physical activities, and policy evaluation.

Context Matters: The Importance of Physical Activity Domains for Public Health

Physical activity can be performed across several domains, including leisure, occupation, household, and transportation, but physical activity research, measurement, and surveillance have historically been focused on leisure-time physical activity. Emerging evidence suggests differential health effects across these domains. In particular, occupational physical activity may be associated with adverse health outcomes. We argue that to adequately consider and evaluate such impacts, physical activity researchers and public health practitioners engaging in measurement, surveillance, and guideline creation should measure and consider all relevant physical activity domains where possible. We describe why physical activity science is often limited to the leisure-time domain and provide a rationale for expanding research and public health efforts to include all physical activity domains.

The Epidemiology of Domain-Specific Physical Activity in New Zealand Adults: A Nationally Representative Cross-Sectional Survey.

Surveillance of domain-specific physical activity (PA) helps to target interventions to promote PA. We examined the sociodemographic correlates of domain-specific PA in New Zealand adults. A nationally representative sample of 13,887 adults completed the International PA Questionnaire-long form in 2019/20. Three measures of total and domain-specific (leisure, travel, home, and work) PA were calculated: (1)weekly participation, (2)mean weekly metabolic energy equivalent minutes (MET-min), and (3)median weekly MET-min among those who undertook PA. Results were weighted to the New Zealand adult population. The average contribution of domain-specific activity to total PA was 37.5% for work activities (participation = 43.6%; median participating MET-min = 2790), 31.9% for home activities (participation = 82.2%; median participating MET-min = 1185), 19.4% for leisure activities (participation = 64.7%; median participating MET-min = 933), and 11.2% for travel activities (participation = 64.0%; median MET-min among participants = 495). Women accumulated more home PA and less work PA than men. Total PA was higher in middle-aged adults, with diverse patterns by age within domains. Māori accumulated less leisure PA than New Zealand Europeans but higher total PA. Asian groups reported lower PA across all domains. Higher area deprivation was negatively associated with leisure PA. Sociodemographic patterns varied by measure. For example, gender was not associated with total PA participation, but men accumulated higher MET-min when taking part in PA than women. Inequalities in PA varied by domain and sociodemographic group. These results should be used to inform interventions to improve PA.

Traditional surveys versus ecological momentary assessments: Digital citizen science approaches to improve ethical physical activity surveillance among youth.

The role of physical activity (PA) in minimizing non-communicable diseases is well established. Measurement bias can be reduced via ecological momentary assessments (EMAs) deployed via citizen-owned smartphones. This study aims to engage citizen scientists to understand how PA reported digitally by retrospective and prospective measures varies within the same cohort. This study used the digital citizen science approach to collaborate with citizen scientists, aged 13-21 years over eight consecutive days via a custom-built app. Citizen scientists were recruited through schools in Regina, Saskatchewan, Canada in 2018 (August 31-December 31). Retrospective PA was assessed through a survey, which was adapted from three validated PA surveys to suit smartphone-based data collection, and prospective PA was assessed through time-triggered EMAs deployed consecutively every day, from day 1 to day 8, including weekdays and weekends. Data analyses included paired t-tests to understand the difference in PA reported retrospectively and prospectively, and linear regressions to assess contextual and demographic factors associated with PA reported retrospectively and prospectively. Findings showed a significant difference between PA reported retrospectively and prospectively (p = 0.001). Ethnicity (visible minorities: β = - 0.911, 95% C.I. = -1.677, -0.146), parental education (university: β = 0.978, 95% C.I. = 0.308, 1.649), and strength training (at least one day: β = 0.932, 95% C.I. = 0.108, 1.755) were associated with PA reported prospectively. In contrast, the number of active friends (at least one friend: β = 0.741, 95% C.I. = 0.026, 1.458) was associated with retrospective PA. Physical inactivity is the fourth leading cause of mortality globally, which requires accurate monitoring to inform population health interventions. In this digital age, where ubiquitous devices provide real-time engagement capabilities, digital citizen science can transform how we measure behaviours using citizen-owned ubiquitous digital tools to support prevention and treatment of non-communicable diseases.

Device-based physical activity measures for population surveillance-issues of selection bias and reactivity.

Device-based measurement in physical activity surveillance is increasing, but research design choices could increase the risk of self-selection bias and reactive behaviour. The aim of this study is to compare the self-reported physical activity profiles of four different samples: participants in a large national survey, participants in a telephone-based survey of non-responders, participants in the large national survey who accepted the invitation to device-based measuring, and the same sample during the week of monitoring. In October 2020, 163,133 Danish adults participated in a national survey and of those 39,480 signed up for device-based measurements. A balanced random sample (n = 3,750) was invited to wear an accelerometer of whom 1,525 accepted the invitation. Additionally, a short telephone-based survey on 829 non-responders to the national survey was conducted. Sociodemographic characteristics and self-reported weekly frequencies of physical activity across four domains are compared. The participants in the national survey were older, more often female, and more often not working. Participants in the telephone-based survey were younger, more often doing unskilled work, and were more often active at home and at work. The participants in the device-based sample were more often active during transport and leisure in the national survey, and participants categorized in the most active category increased during the week of monitoring from 29.0% to 60.7% and from 58.5% to 81.7% for active transport and leisure activities, respectively. Recruiting a population representative sample for device-based measurement of physical activity is challenging, and there is a substantial risk of sample selection bias and measurement reactivity. Further research in this area is needed if device-based measures should be considered for population physical activity surveillance.

Moving Toward the Inclusion of Step-Based Metrics in Physical Activity Guidelines and Surveillance.

Moving Toward the Inclusion of Step-Based Metrics in Physical Activity Guidelines and Surveillance.

Results From Spain's 2022 Para Report Cards on Physical Activity of Children and Adolescents With Disabilities.

This report aims to provide a better understanding of physical activity (PA) and related factors among Spanish children and adolescents living with disabilities. The 10 indicators used for the Global Matrix on Para Report Cards of children and adolescents living with disabilities were evaluated based on the best available data in Spain. An analysis of strengths, weaknesses, opportunities, and threats based on data provision was drafted by three experts and critically reviewed by the authorship team to provide a national perspective for each evaluated indicator. Government was the indicator with the highest grade (C+), followed by Sedentary Behaviors (C-), School (D), Overall PA (D-), and Community & Environment (F). The remaining indicators received an incomplete grade. There were low levels of PA in Spanish children and adolescents living with disabilities. Yet, opportunities to improve the current surveillance of PA among this population exist.

Analysis of national physical activity and sedentary behaviour policies in China

PurposeThe aims of this study were to advance knowledge on physical activity (PA) and sedentary behaviour (SB) policies in China and to highlight related gaps and opportunities in the Chinese policy landscape.MethodsLiterature and web-based searches were performed to identify national PA and SB policies in China. We assessed which of the 17 elements of the Health-Enhancing Physical Activity Policy Audit Tool (HEPA PAT, version 2) are included in each of the policy documents and whether and how they address the ‘cornerstones’ of PA and SB policy: PA and SB guidelines, targets, surveillance and monitoring, and public education programmes.ResultsWe found 60 national PA and SB policies, of which 54 focused on PA only and 6 focused on both PA and SB. There was a rapid increase in the number of policies issued between 2002 and 2021. In totality, the policies include all 17 key elements for a successful national policy approach to PA promotion according to the HEPA PAT. The policies reflect engagement from a range of sectors and encompass PA targets, recommendations for PA and SB, mandates and recommendations for school-related PA, plans for public education on PA, and plans for surveillance and monitoring of PA and SB.ConclusionOur findings demonstrate that there has been increasing focus on PA and SB policies in China, which reflects efforts by policymakers to address the health burden of insufficient PA and excessive SB. More emphasis may be placed on SB in Chinese policy, particularly in terms of setting specific targets for population SB. Policymakers and other relevant public health stakeholders in China could also consider developing or adopting the 24-hour movement guidelines, in accordance with recent trends in several other countries. Collaboration and involvement of different sectors in the development and implementation of Chinese PA and SB policies should continue to be facilitated as part of a whole-of-system approach to health promotion.

Formative assessment: Is Australia ready for a physical activity surveillance system?

ObjectivesThis study investigated the feasibility of establishing a comprehensive and standardised physical activity surveillance system (PASS) in Australia to guide policy and programs to address this public health priority. MethodsWe gathered information about existing data and reporting obligations in relation to physical activity, by conducting cross-sectoral workshops for each state and territory. This information was synthesised by sector/domain using the socioecological model. We developed a set of potential PASS indicators for feedback from the policymakers in the National Physical Activity Network. ResultsJurisdictions identified existing physical activity-relevant surveillance measures across socioecological levels and sectors. The most common were individual behavioural measures; less common were interpersonal, settings, environmental, and policy measures. Feedback was gathered from policymakers about model indicators that could be considered in future discussions. ConclusionsOur findings reveal areas where data availability is most widespread as well as areas of deficiency. Although this process identified relevant cross-sectoral indicators, further feasibility assessment will require national-level discussions, cross-agency planning, and leadership by Federal and State governments to progress PASS discussions further. Implications for public healthThe existing physical activity surveillance system in Australia is fragmented and lacks nationwide standardisation.Most physical activity surveillance focuses on individual behaviours, and limited monitoring occurs of broader elements of the “physical activity system.” Improvements will contribute to more informed and accountable decision-making and enable more effective monitoring of progress at multiple levels towards achieving state and national physical activity goals. Policymakers need to embrace this agenda and further the discussions on the scope, shape, and structure of a physical activity surveillance system.

Health Provider's Feedback on Physical Activity Surveillance Using Wearable Device-Smartphone Application for Adults with Metabolic Syndrome; a 12-Week Randomized Control Study.

Research on whether wearable device interventions can effectively prevent metabolic syndrome remains insufficient. This study aimed to evaluate the effect of feedback on clinical indicators in patients with metabolic syndrome on activities measured using wearable devices, such as smartphone apps. Patients with metabolic syndrome were recruited and prescribed to live for 12 weeks using a wrist-wearable device (B.BAND, B Life Inc., Korea). A block randomization method was used to distribute participants between the intervention (n=35) and control groups (n=32). In the intervention group, an experienced study coordinator provided feedback on physical activity to individuals through telephonic counseling every other week. The mean number of steps in the control group was 8892.86 (4473.53), and those in the intervention group was 10,129.31 (4224.11). After 12 weeks, metabolic syndrome was resolved. Notably, there were statistically significant differences in the metabolic composition among the participants who completed the intervention. The mean number of metabolic disorder components per person remained at 3 in the control group, and decreased from 4 to 3 in the intervention group. Additionally, waist circumference, systolic and diastolic blood pressure, and triglyceride levels were significantly reduced, while HDL-cholesterol levels were significantly increased in the intervention group. Overall, 12 weeks of telephonic counseling intervention using wearable device-based physical activity confirmation improved the damaged metabolic components of patients with metabolic syndrome. Telephonic intervention can help increase physical activity and reduce waist circumference, which is a typical clinical indicator of metabolic syndrome.

Physical Activity Surveillance in Children and Adolescents Using Smartphone Technology: Systematic Review

Self-reported physical activity (PA) questionnaires have traditionally been used for PA surveillance in children and adolescents, especially in free-living conditions. Objective measures are more accurate at measuring PA, but high cost often creates a barrier for their use in low- and middle-income settings. The advent of smartphone technology has greatly influenced mobile health and has offered new opportunities in health research, including PA surveillance. This review aimed to systematically explore the use of smartphone technology for PA surveillance in children and adolescents, specifically focusing on the use of smartphone apps. A literature search was conducted using 5 databases (PubMed, Scopus, CINAHL, MEDLINE, and Web of Science) and Google Scholar to identify articles relevant to the topic that were published from 2008 to 2023. Articles were included if they included children and adolescents within the age range of 5 to 18 years; used smartphone technology as PA surveillance; had PA behavioral outcomes such as energy expenditure, step count, and PA levels; were written in English; and were published between 2008 and 2023. We identified and analyzed 8 studies (5 cross-sectional studies and 3 cohort studies). All participants were aged 12-18 years, and all studies were conducted in high-income countries only. Participants were recruited from schools, primary care facilities, and voluntarily. Five studies used mobile apps specifically and purposely developed for the study, whereas 3 studies used mobile apps downloadable from the Apple App Store and Android Play Store. PA surveillance using these apps was conducted from 24 hours to 4 weeks. Evidence of PA surveillance using smartphone technology in children and adolescents was insufficient, which demonstrated the knowledge gap. Additional research is needed to further study the feasibility and validity of smartphone apps for PA surveillance among children and adolescents, especially in low- and middle-income countries.

Cut-point values for classifying active children and validity and reliability of physical activity questionnaire for children in Morocco.

The Physical Activity Questionnaire for Children (PAQ-C) is widely used to assess physical activity in populations; however, there is a lack of information about the psychometric properties (validity and reliability) and about the PAQ-C score meaning in populations from low-middle income countries. The aim of this study is to evaluate the reliability and validity of PAQ-C and to determine the cut-point values of PAQ-C using accelerometry as a reference in a group of Moroccan children. In a sample of 171 children and adolescents aged 8 to 14 years, physical activity was assessed with the GT3X + accelerometer and the PAQ-C. PAQ-C was administered for a second time (retest) after 1week for a subsample (n = 73). Reliability was analyzed by intraclass correlation coefficient (ICC). The PAQ-C was compared against count per minute CPM and moderate to vigorous intensity PA (MVPA) obtained by accelerometry. Receiver operating curve analyses were performed to assess the performance of PAQ-C in identifying MVPA as measured by accelerometry (reference method). Test-retest reliability was poor with an ICC = (0.48 [0.27; 0.63] for the whole sample, while for the ≥11 year group, the intra-class correlation coefficient was moderate (0.71 [0.42; 0.86]. PAQ-C scores were significantly related to accelerometry-derived metrics of physical activity, CPM (R = 0.29, P < 0.001) and MVPA (R = 0.26, P < 0.001). For the age group ≥11 years, the associations between PAQ-C Scores and CPM and MVPA were stronger, respectively, R = 0.37 (P <0.001), R =0.38 (P < 0.0001). We identified that a PAQ-C Score cut-point of 2.33 (95%CI [0.43-0.68]) discriminated adequately between those who met physical activity guidelines and those that did not in the overall sample. The PAQ-C is valid and useful to assess population level physical activity in those ≥11 years in Morocco and so might be helpful in population surveillance of physical activity in Moroccan adolescents.

Global Accelerometer-derived Physical Activity Levels from Preschoolers to Adolescents: A Multilevel Meta-analysis and Meta-regression.

Global level physical activity surveillance studies were primarily based on self-report data that could generate inaccurate results. To investigate global accelerometer-measured daily moderate to vigorous physical activity (MVPA) changes from preschool age to adolescence as well as gender differences in MVPA while adjusting for the geographic regions and major MVPA cut points. A comprehensive search was conducted through August 2020 that includes 30 databases such as Academic Search Ultimate, Child Development & Adolescent Studies, Education Full Text, ERIC, General Science, PsycINFO, ScienceDirect, and SPORTDiscuss. We included both cross-sectional and longitudinal MVPA tracking studies with daily MVPA being measured by waist-worn accelerometers and determined by either Freedson 3 METs, 4 METs, or Evenson cut points for preschoolers, children, and adolescents. Researchers analyzed 84 studies reporting on 124 effect sizes with a total of 57,587 participants. The combined data showed significant MVPA differences among various continents of participants (p < .001) or cut points (p < .05-.001) for both preschoolers, children, and adolescents. Globally, when continents and cut points were controlled, individuals' daily MVPA time decreased every year by an average of 7.88, 10.37, and 6.68 min from preschool age to adolescence, preschool age to children, and children to adolescence, respectively. When cut points and continents were controlled, boys had significantly higher daily MVPA than girls for all three age groups (p < .001). Globally, individuals' daily MVPA starts to decline dramatically as early as the beginning of preschool age. Early intervention is needed to counteract the high decline rate in MVPA.

Predictors of cancer rehabilitation medicine referral and utilization based on the Moving Through Cancer physical activity screening assessment.

Cancer survivors experience high rates of physical inactivity that often go unaddressed. The My Wellness Check program (MWC) is an EHR-integrated screening and referral system that includes surveillance of physical activity and triage to cancer rehabilitation medicine services. This study examined assessment of physical activity and subsequent referrals to cancer rehabilitation medicine. A secondary analysis was performed for survivors who completed the MWC between April 2021 and January 2022. Univariable and multivariable logistic regression modeled determinants of qualification for a physical activity referral and provider completion of referral to cancer rehabilitation medicine. Referral was based on responses to the Moving Through Cancer questionnaire. Adjusted odds ratios (aOR) and corresponding 95% confidence intervals (95% CI) were calculated. There were 1,174 survivors who completed the assessment, of which 46% (n = 540) reported physical inactivity. After controlling for group differences, individuals with moderate-severe physical dysfunction (aOR: 1.750; 95% CI: 1.137, 2.693) had higher odds, and self-reporting Hispanic or Latino ethnicity (aOR: 0.720; CI: 0.556, 0.932) had lower odds of physical inactivity. Only 31% (n = 168) received a completed physician referral to cancer rehabilitation medicine following identification of physical inactivity. No patient-level factors were associated with receiving a physician referral. Following referral, 8% (n = 13) utilized cancer rehabilitation medicine services. Patient-level and clinical factors may predict qualification for physical activity referrals; however, they don't appear to predict referral completion to cancer rehabilitation medicine. Future research should focus on potential provider- and organization-level factors that interact and influence access to cancer rehabilitation medicine services.

Physical Activity and Sedentary Behavior in the Portuguese Population: What Has Changed from 2008 to 2018?

Assessment of trends in physical activity (PA) and sedentary time (ST) is important for evaluating the effectiveness of national policies and setting goals to improve population PA. This study describes changes in measured PA and ST through motion sensors of the Portuguese population from 2008 to 2018. PA and ST were measured with accelerometry from individuals (≥10 yr) participating in the 2008 ( n = 4 532) and 2018 ( n = 6 369) Portuguese PA Surveillance Systems. Changes were analyzed using generalized linear and logistic models adjusted for accelerometer wear time. A weight factor was applied to all analyses in order to achieve national representativeness of the present results. In 2018, 15.4%, 71.2%, and 30.6% of Portuguese youth, adults, and older adults met the PA recommendations. Compared with 2008, the percentage meeting the PA guidelines increased in youth females (4.7% vs 7.7%, P < 0.05) and adult males (72.2% vs 79.4%, P < 0.05). A decrease in ST was observed for adult males, whereas ST increased in all youth. Male youth decreased the number of breaks in ST (BST per hour), whereas a favorable increase was found for both adult and older adult males and females. PA has remained fairly stable between 2008 and 2018 for all groups, except for youth females and adult males. For ST, a favorable decrease was observed for adult males; however, an inverse trend was found in youth. These results are relevant for policy makers to develop health care policies aimed at promoting PA and reducing ST across all age-groups.

Perspectives of Patients With Orthopedic Trauma on Fully Automated Digital Physical Activity Measurement at Home: Cross-sectional Survey Study.

The automated digital surveillance of physical activity at home after surgical procedures could facilitate the monitoring of postoperative follow-up, reduce costs, and enhance patients' satisfaction. Data on the willingness of patients with orthopedic trauma to undergo automated home surveillance postoperatively are lacking. The aims of this study were to assess whether patients with orthopedic trauma would be generally willing to use the proposed automated digital home surveillance system and determine what advantages and disadvantages the system could bring with it. Between June 2021 and October 2021, a survey among outpatients with orthopedic trauma who were treated at a European level 1 trauma center was conducted. The only inclusion criterion was an age of at least 16 years. The paper questionnaire first described the possibility of fully automated movement and motion detection (via cameras or sensors) at home without any action required from the patient. The questionnaire then asked for the participants' demographics and presented 6 specific questions on the study topic. In total, we included 201 patients whose mean age was 46.9 (SD 18.6) years. Most of the assessed patients (124/201, 61.7%) were male. Almost half of the patients (83/201, 41.3%) were aged between 30 and 55 years. The most stated occupation was a nine-to-five job (62/199, 30.8%). The majority of the participants (120/201, 59.7%) could imagine using the proposed measurement system, with no significant differences among the genders. An insignificant higher number of younger patients stated that they would use the automated surveillance system. No significant difference was seen among different occupations (P=.41). Significantly more young patients were using smartphones (P=.004) or electronic devices with a camera (P=.008). Less than half of the surveyed patients (95/201, 47.3%) stated that they were using tracking apps. The most stated advantages were fewer physician visits (110/201, 54.7%) and less effort (102/201, 50.7%), whereas the most prevalent disadvantage was the missing physician-patient contact (144/201, 71.6%). Significantly more patients with a part-time job or a nine-to-five job stated that data analysis contributes to medical progress (P=.047). Most of the assessed participants (120/201, 59.7%) stated that they would use the automated digital measurement system to observe their postoperative follow-up and recovery. The proposed system could be used to reduce costs and ease hospital capacity issues. In order to successfully implement such systems, patients' concerns must be addressed, and further studies on the feasibility of these systems are needed.