Objective measurement of sedentary behaviour using accelerometers

Byrom, Bill; Stratton, Gareth; Carthy, Marie Mc; Muehlhausen, Willie

doi:10.1038/ijo.2016.136

Cited by 65 publications

(61 citation statements)

References 18 publications

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“…Further research exploring sedentary behavior in people with PD could consider using a device worn on the thigh, such as the activPAL (PAL Technologies Ltd, Glasgow, UK), which is more likely to accurately detect sitting and lying time. 29 PD impairments contributed to the difference in step and activity counts. The multivariate regression analysis identified that more tremor and dyskinesia accounted for 19% of the variability in the difference in step counts.…”

Section: Discussionmentioning

confidence: 93%

“…It is therefore possible that the waist monitor in the present study was overestimating sedentary time by including standing time. Further research exploring sedentary behavior in people with PD could consider using a device worn on the thigh, such as the activPAL (PAL Technologies Ltd, Glasgow, UK), which is more likely to accurately detect sitting and lying time …”

Section: Discussionmentioning

confidence: 99%

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A Comparison of Activity Monitor Data from Devices Worn on the Wrist and the Waist in People with Parkinson's Disease

Kim

Hassett

Nguy

et al. 2019

Movement Disord Clin Pract

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Background It is unclear if it is appropriate for people with Parkinson's disease (PD) to wear activity monitors on the wrist because of the potential influence of impairments on the data. Objective The objective of this study was to determine (1) whether activity monitor data collected from devices worn at the wrist and waist are comparable and (2) the contribution of PD impairments to any differences in step and activity counts at the wrist and waist. Methods A total of 46 community‐dwelling people with PD wore an accelerometer at the wrist and waist simultaneously for 1 week. Motor impairments (rigidity, bradykinesia, tremor, dyskinesia) were assessed using the Movement Disorders Society Unified Parkinson's Disease Rating Scale part III (motor examination) and part IV (motor complications). Results Higher values were recorded by the wrist monitor for steps/day (wrist, 9236 [standard deviation (SD) 3812]; waist, 5324 [SD 2800]; difference 3912; P < 0.001) and activity counts/day (wrist, 872,590 [SD 349,148]; waist, 186,491 [SD 101,989]; difference 686,099; P < 0.001). However, the wrist and waist values were strongly correlated (steps, r = 0.89; counts, r = 0.74; P ≤ 0.001). Increased tremor and dyskinesia explained 19% of the variation in the difference in average steps/day, and these variables plus reduced bradykinesia explained 24% of the variation in the difference in average activity counts/day. Conclusion Wrist monitors are likely to overestimate activity, particularly in people with tremor and dyskinesia. Nonetheless, activity monitors can be worn on the wrist if the aim is to monitor change rather than accurately record activity.

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Section: Discussionmentioning

confidence: 93%

Section: Discussionmentioning

confidence: 99%

A Comparison of Activity Monitor Data from Devices Worn on the Wrist and the Waist in People with Parkinson's Disease

Kim

Hassett

Nguy

et al. 2019

Movement Disord Clin Pract

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“…However, no single measure captures all aspects of sedentary behaviour [61], and there are alternative ways of conceptualising and operationalizing it [62] and one of these measures might be more strongly influenced by the neighbourhood and social environment.…”

Section: Discussionmentioning

confidence: 99%

The Influence of Neighbourhoods and the Social Environment on Sedentary Behaviour in Older Adults in Three Prospective Cohorts

Shaw

Čukić

Deary

et al. 2017

IJERPH

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Sedentary behaviour is an emerging risk factor for poor health. This study aimed to identify ecological determinants of sedentary behaviour, for which evidence is currently scarce. The study participants were community dwelling adults from, respectively, the Lothian Birth Cohort 1936 (n = 271, mean age 79) and the 1930s (n = 119, mean age 83) and 1950s (n = 310, mean age 64) cohorts of the West of Scotland Twenty-07 study. The outcome measure, percentage of waking time spent sedentary (sedentary time), was measured using an activPAL activity monitor worn continuously for seven days. Potential determinants included objective and subjective neighbourhood measures such as natural space, crime, social cohesion and fear of crime. Other determinants included measures of social participation such as social support, social group membership and providing care. Results from multivariable regression analyses indicated that providing care was associated with reduced sedentary time in retired participants in all cohorts. Fear of crime and perceived absence of services were associated with increased sedentary time for retired 1950s cohort members. Higher crime rates were associated with increased sedentary time in all cohorts but this was not significant after adjustment for socio-demographic characteristics. Most other neighbourhood and social participation measures showed no association with sedentary time.

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“…Energy expenditure and physical activity (light, moderate to vigorous, and vigorous activity) were calculated as previously described (Bressa et al, 2017). Sedentary behavior was characterized by the number of sedentary bouts (period of consecutive minutes where the accelerometer registers < 100 counts/min) and sedentary breaks (period of at least 1 min where the accelerometer registers ≥ 100 counts/min following a sedentary bout) and the total time spent in them (Byrom et al, 2016).…”

Section: Physical Activity and Sedentary Behavior Determinationmentioning

confidence: 99%

A Critical Mutualism – Competition Interplay Underlies the Loss of Microbial Diversity in Sedentary Lifestyle

Castellanos¹,

Diez²,

Antúnez-Almagro

et al. 2020

Front. Microbiol.

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Objective measurement of sedentary behaviour using accelerometers

Cited by 65 publications

References 18 publications

A Comparison of Activity Monitor Data from Devices Worn on the Wrist and the Waist in People with Parkinson's Disease

A Comparison of Activity Monitor Data from Devices Worn on the Wrist and the Waist in People with Parkinson's Disease

The Influence of Neighbourhoods and the Social Environment on Sedentary Behaviour in Older Adults in Three Prospective Cohorts

A Critical Mutualism – Competition Interplay Underlies the Loss of Microbial Diversity in Sedentary Lifestyle

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