Validation of Wearable Monitors for Assessing Sedentary Behavior

Keadle, Sarah Kozey; Libertine, Amanda; Lyden, Kate; Staudenmayer, John; Freedson, Patty S.

doi:10.1249/mss.0b013e31820ce174

Cited by 773 publications

(762 citation statements)

References 22 publications

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“…One limitation inherent in the use of a hip-mounted accelerometer, such as the ActiGraph, is that its inability to discern sitting from standing still may lead to measurement error in the estimate of time spent in SB. Kozey-Keadle et al found the ActiGraph accelerometer to significantly underestimate sitting time compared with both direct observation [31] and the activPAL [32], a thigh-worn accelerometer that can detect changes in posture; however, the differences were less than 5%. Future studies should aim to verify our findings using similar devices that can differentiate between sitting and standing with higher accuracy.…”

Section: Discussionmentioning

confidence: 99%

Dose–response relationships between sedentary behaviour and the metabolic syndrome and its components

et al. 2014

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Aims/hypothesis The aim of this study was to examine the relationship among sedentary behaviour (SB) and the metabolic syndrome and its components by age, moderate-tovigorous physical activity (MVPA) and sex. Methods A cross-sectional analysis was performed on 2003-2006 National Health and Nutrition Examination Survey data from 5,076 adults aged ≥18 years (mean±SD =43.8±19.5). SB was measured using ActiGraph accelerometers worn for 1 week and defined as <100 counts/min. Metabolic syndrome was defined using the Adult Treatment Panel III criteria. Natural cubic spline logistic regression models were used to estimate the odds of meeting criteria for the metabolic syndrome and its components by total daily SB time and breaks in SB. Statistical interactions between SB and age, sex and MVPA were explored. Results The prevalence of the metabolic syndrome was 19% and the average daily SB time was 8.1±2.8 h, with 90±25 breaks/day. The relationship between daily SB time and the metabolic syndrome was linear and characterised by an OR of 1.09 (95% CI 1.01, 1.18) for each hour of SB. Total SB was associated with the following components: high triacylglycerol, low HDL-cholesterol and high fasting glucose. All three associations were modified by MVPA level. No relationship between breaks in SB and the metabolic syndrome was found. Conclusions/interpretation There appears to be no SB threshold at which the risk of the metabolic syndrome is elevated. Therefore, an effort should be made to maintain low levels of total time spent in SB and so lessen the risk of the metabolic syndrome.

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Section: Discussionmentioning

confidence: 99%

Dose–response relationships between sedentary behaviour and the metabolic syndrome and its components

et al. 2014

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“…As the activPAL records continuously, participants were required to fill out a logbook of hours spent at work. The activPAL has been shown to be a reliable and valid measure of sitting, standing and stepping time [14,15].…”

Section: Activpalmentioning

confidence: 99%

Uprising: An examination of sit-stand workstations, mental health and work ability in sedentary office workers, in Western Australia

Tobin

Leavy

Jancey

2016

WOR

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Abstract. BACKGROUND:Office-based staff spend around three quarters of their work day sitting. People who sit for long periods while at work are at greater risk of adverse health outcomes. OBJECTIVE: The pilot study aimed to determine the effect of sit-stand workstations on office-based staff sedentary and physical activity behaviors, work ability and self-reported physical and mental health outcomes. METHODS: A two-group pre-post study design assessed changes in sedentary and physical activity behaviors (time spent sitting, standing and stepping and sit-stand transitions and number of steps taken) work ability and physical and mental health. Physical activity behaviors were measured using activPAL activity monitors and self-reported data on work ability and physical and mental health were collected using an online questionnaire. RESULTS: Relative to the controls (n = 19), the intervention group (n = 18) significantly decreased time spent sitting by 100 minutes (p < 0.001) and increased standing time by 99 minutes (p < 0.001). There was a decrease in self-reported current work ability when compared to lifetime best (p = 0.008). There were no significant differences for all other sedentary behavior, other workability outcomes, physical health or mental health outcomes at follow-up. CONCLUSIONS: The Uprising Study found that sit-stand workstations are an effective strategy to reduce occupational sitting time in office-based workers over a one month period.

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“…19 For the purpose of this paper, data were categorised into MVPA using established cut points and presented as average total MVPA (weekday and weekend) and MVPA at work. 15,20 MVPA was dichotomised as < or ≥ 30 minutes per day for use in the interaction analyses.…”

Section: Sitting Time and Physical Activity Measurementmentioning

confidence: 99%

“…However, they cannot distinguish between sitting and standing still. [13][14][15] In order to report accurately on the relationship between occupational sitting patterns and health outcomes, objective measures that measure postural change are needed.…”

Section: Introductionmentioning

confidence: 99%

Desk-Based Occupational Sitting Patterns

Ryde

Brown

Peeters

et al. 2013

American Journal of Preventive Medicine

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Background: Prolonged, uninterrupted sitting time is associated with poor health outcomes.As most sitting time occurs at work, accurate, objective measurement of occupational sitting patterns is required to fully understand its effects on employee health. Purpose:The purpose of this study was to examine associations between desk-based sitting patterns, waist circumference (WC) and body mass index (BMI).Methods: Participants were full-time, office-based employees (N=105; mean age 40.9±11.5 years; BMI 26.1±3.9, 65% women). Sitting patterns (total desk-based sitting time and number of times employees got up from their desk) were assessed for five days using an objective measure of desk-based sitting, the sitting pad. WC, height and weight were measured, and BMI calculated (weight/height 2 ). Associations between sitting patterns, WC and BMI were tested using logistic regression models. Data were collected and analysed between 2011/12.Results: Those with high sitting time at their desk were 2.7 times (95% CI: 1.3 to 6.3) more likely to have WC ≥94 cm (men) or ≥80cm (women), and 9.0 times (95% CI: 1.9 to 41.9) more likely to have BMI ≥30 than those with lower sitting time. There were no significant associations between the number of times employees got up from sitting at their desk and WC or BMI. Conclusion:High desk-based sitting time was associated with increased likelihood of weight related health outcomes whereas frequency of getting up from sitting at the desk was not.3

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Validation of Wearable Monitors for Assessing Sedentary Behavior

Abstract: The AP was more precise and more sensitive to reductions in sitting time than the AG, and thus, studies designed to assess SB should consider using the AP. When the AG monitor is used, 150 counts per minute may be the most appropriate cut point to define SB.

Cited by 773 publications

References 22 publications

Dose–response relationships between sedentary behaviour and the metabolic syndrome and its components

Dose–response relationships between sedentary behaviour and the metabolic syndrome and its components

Uprising: An examination of sit-stand workstations, mental health and work ability in sedentary office workers, in Western Australia

Desk-Based Occupational Sitting Patterns

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