Digital citizen science for ethical surveillance of physical activity among youth: mobile ecological momentary assessments vs. retrospective recall

Physical inactivity is the fourth leading risk factor of mortality globally. Hence, understanding the physical activity (PA) patterns of youth is essential to manage and mitigate non-communicable diseases. As digital citizen science approaches utilizing citizen-owned smartphones to ethically obtain PA big data can transform PA surveillance, this study aims to understand the frequency of PA reported by youth using smartphone-deployed retrospective validated surveys compared to prospective time-triggered mobile ecological momentary assessments (mEMAs). Using a digital citizen science methodology, this study recruited youth citizen scientists (N = 808) in 2018 (August 31- December 31) in Saskatchewan, Canada. Youth citizen scientists (age 13 to 21) reported their PA using prospective mEMAs and retrospective surveys over an eight-day period. A significant difference was found in reporting the frequency of PA retrospectively vs. prospectively via mEMAs (p < 0.000). Ethnicity, parental education, and strength training were associated with prospective PA frequency; however, no associations were significant with retrospective PA frequency. With access to ubiquitous digital devices growing worldwide, and youth having particularly high digital literacy, digital citizen science for the ethical surveillance of PA using mEMAs presents a promising approach for the management and prevention of non-communicable diseases among youth

Summary statistics for youth citizen scientists participating in this study (n = 436).

Summary statistics for youth citizen scientists participating in this study (n = 436).</p

Digitally deployed modified retrospective PA survey.

Digitally deployed modified retrospective PA survey.</p

EMAs PA duration.

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.</div

Mean time spent on PA per day (in minutes) as reported in the retrospective survey and the prospective EMAs and paired sample t-test analysis.

Mean time spent on PA per day (in minutes) as reported in the retrospective survey and the prospective EMAs and paired sample t-test analysis.</p

Dependent and independent variables used in the study.

Dependent and independent variables used in the study.</p

Factors associated with PA duration measured via prospective (EMA; results of Model 1) and retrospective PA survey measures (Retrospective PA; results of Model 2).

Factors associated with PA duration measured via prospective (EMA; results of Model 1) and retrospective PA survey measures (Retrospective PA; results of Model 2).</p

Study design diagram.

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.</div