Wearable Activity Trackers for Monitoring Adherence to Home Confinement During the COVID-19 Pandemic Worldwide: Data Aggregation and Analysis

Pépin, Jean‐Louis; Bruno, Rosa Maria; Yang, Rui-Yi; Vercamer, Vincent; Jouhaud, Paul; Escourrou, P.; Boutouyrie, Pierre

doi:10.2196/19787

Cited by 104 publications

(120 citation statements)

References 5 publications

(5 reference statements)

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“…One worldwide study based on a smartphone app (Argus) showed that mean daily steps in different regions decreased by 5.5% and 27.3% (287 and 1432 steps/day, respectively) within 10 and 30 days after the COVID-19 pandemic was declared [ 10 ]. Another study that used a wristwatch with an embedded accelerometer (Withings) demonstrated a marked decrease in daily steps (from 25% to 54%) following the official dates of home confinement in countries adopting a total lockdown [ 11 ]. Similar findings were also reported in other countries [ 12 - 14 ].…”

Section: Discussionmentioning

confidence: 99%

Physical Distancing Measures and Walking Activity in Middle-aged and Older Residents in Changsha, China, During the COVID-19 Epidemic Period: Longitudinal Observational Study

Wang¹,

Zhang²,

Bennell³

et al. 2020

J Med Internet Res

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Background Physical distancing measures taken to contain COVID-19 transmission may substantially reduce physical activity levels and cause individuals to adopt a more sedentary lifestyle. Objective The objective of this study is to determine if there was any change in daily steps, an important component of daily physical activity, and examine risk factors for frequent low daily steps during the COVID-19 epidemic. Methods We used data collected from the Step Study, a population-based longitudinal study of walking activity among residents aged ≥40 years in Changsha, China. Daily steps were collected via a smartphone linked to WeChat, a social networking platform. We plotted mean daily steps and the prevalence of low daily steps (≤1500 steps/day) 30 days before (reference period) and 30 days after (epidemic period) January 21, 2020 (date of the first COVID-19 case diagnosed in Changsha), and compared it with the same corresponding period from 2019. We examined the association of risk factors with the prevalence of frequent low daily steps (≤1500 steps/day for ≥14 days) using logistic regression. Results Among 3544 participants (mean age 51.6 years; n=1226 females, 34.6%), mean daily steps dropped from 8097 to 5440 and the prevalence of low daily steps increased from 3% (2287/76,136 person-day) to 18.5% (12,951/70,183 person-day) during the reference and epidemic periods, respectively. No such phenomenon was observed during the corresponding period in 2019. Older age (P for interaction=.001) and female sex (P for interaction<.001) were both associated with a higher prevalence of frequent low daily steps and were more pronounced during the epidemic period. More education was associated with a lower prevalence of frequent low daily steps during the reference period but not the epidemic period (P for interaction=.34). Body mass index or comorbidity were not associated with frequent low daily steps during either period. Conclusions Daily steps of Changsha residents aged ≥40 years dropped significantly during the COVID-19 period, especially among older adults and females. Although successful physical distancing, measured by the rapid downward trend in daily step counts of residents, played a critical role in the containment of the COVID-19 epidemic, our findings of an increase in the prevalence of frequent low daily steps raise concerns about unintended effects on physical activity.

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Section: Discussionmentioning

confidence: 99%

Physical Distancing Measures and Walking Activity in Middle-aged and Older Residents in Changsha, China, During the COVID-19 Epidemic Period: Longitudinal Observational Study

Wang¹,

Zhang²,

Bennell³

et al. 2020

J Med Internet Res

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show abstract

“… 11 12 Currently, there is a lack of data on the relationship between PA and the effects of the COVID-19 pandemic. Limited data from PA trackers during lockdown 13 indicate that there has been a reduction in PA globally. However, few adolescents use PA trackers, 14 leaving large proportion of adolescents’ PA behaviours under-reported.…”

Section: Introductionmentioning

confidence: 99%

Barriers and facilitators to changes in adolescent physical activity during COVID-19

Cooper

McHale

et al. 2020

BMJ Open Sport Exerc Med

114

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ObjectivesCOVID-19 restrictions reduced adolescents’ opportunities for physical activity (PA). The purpose of this study was to examine how adolescent PA changed during school closures, to identify the key barriers and facilitators for these changes during lockdown and to use this information to understand how to manage future crises’ situations positively to prevent physical inactivity.MethodsIrish adolescents (N=1214; ages 12–18 years) participated in an online cross-sectional study during April 2020, including items on PA level, changes in PA and reasons for change in an open-ended format. Numeric analyses were through multiple binary logistic regressions, stratified by changes in PA during lockdown and inductive analysis of open coding of text responses.ResultsAdolescents reported they did less PA (50%), no change (30%) or did more PA during lockdown (20%). Adolescents who did less PA were more likely to be overweight (OR=1.8, CI=1.2–2.7) or obese (OR=2.2, CI=1.2–4.0) and less likely to have strong prior PA habits (OR=0.4, CI=0.2–0.6). The most cited barriers to PA were coronavirus, club training cancelled and time. Strong associations for doing more PA included participation in strengthening exercises at least three times in the past 7 days (OR=1.7, CI=1.3–2.4); facilitators were more time, coronavirus and no school.ConclusionCOVID-19 restrictions were both a barrier to and an opportunity for PA. Parents, schools, public health, communities and industries must collaborate to prevent physical inactivity at times of crisis, especially for vulnerable groups.

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“…The measures of social distancing and “stay-at-home” messages, effective for controlling the pandemic, have directly affected these movement behaviors [ 11 ]. Quarantine measures reduce opportunities for physical activity, especially outdoor activities, and increase daily sedentary behaviors [ 12 ], which can affect cardiovascular [ 13 ], metabolic [ 14 ], and mental health [ 15 ]. However, although recent studies have shown the potentially harmful effects of physical inactivity and sedentary behaviors during the COVID-19 pandemic [ 16 , 17 ], less attention has been paid to the population groups that are clustering these unhealthy behaviors.…”

Section: Introductionmentioning

confidence: 99%

Changes in the clustering of unhealthy movement behaviors during the COVID-19 quarantine and the association with mental health indicators among Brazilian adults

Werneck

Silva

Malta

et al. 2020

Translational Behavioral Medicine

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Our aim was to analyze the prevalence of unhealthy movement behavior clusters before and during the COVID-19 pandemic, as well as to investigate whether changes in the number of unhealthy behaviors during the COVID-19 pandemic quarantine were associated with mental health indicators. Data of 38,353 Brazilian adults from a nationwide behavior research were used. For movement behaviors, participants reported the frequency and duration of physical activity and daily time on TV viewing and computer/tablet use before and during the pandemic period. Participants also reported the frequency of loneliness, sadness (feeling sad, crestfallen, or depressed), and anxiety feelings (feeling worried, anxious, or nervous) during the pandemic period. Sex, age group, highest academic achievement, working status during quarantine, country region, and time adhering to the quarantine were used as correlates. We used descriptive statistics and logistic regression models for the data analysis. The prevalence of all movement behavior clusters increased during the COVID-19 pandemic. The cluster of all three unhealthy movement behaviors increased from 4.6% (95% confidence interval [CI]: 3.9–5.4) to 26.2% (95% CI: 24.8–27.7). Younger adults, people with higher academic achievement, not working or working at home, and those with higher time in quarantine presented higher clustering. People that increased one and two or three unhealthy movement behaviors were, respectively, more likely to present loneliness (odds ratio [OR] = 1.41 [95% CI: 1.21–1.65] and OR = 1.71 [95% CI: 1.42–2.07]), sadness (OR = 1.25 [95% CI: 1.06–1.48] and OR = 1.73 [95% CI: 1.42–2.10]), and anxiety (OR = 1.34 [95% CI: 1.13–1.57] and OR = 1.78 [95% CI: 1.46–2.17]) during the COVID-19 quarantine. Clustering of unhealthy movement behaviors substantially increased and was associated with poorer mental health during the COVID-19 pandemic.

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Wearable Activity Trackers for Monitoring Adherence to Home Confinement During the COVID-19 Pandemic Worldwide: Data Aggregation and Analysis

Cited by 104 publications

References 5 publications

Physical Distancing Measures and Walking Activity in Middle-aged and Older Residents in Changsha, China, During the COVID-19 Epidemic Period: Longitudinal Observational Study

Physical Distancing Measures and Walking Activity in Middle-aged and Older Residents in Changsha, China, During the COVID-19 Epidemic Period: Longitudinal Observational Study

Barriers and facilitators to changes in adolescent physical activity during COVID-19

Changes in the clustering of unhealthy movement behaviors during the COVID-19 quarantine and the association with mental health indicators among Brazilian adults

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