scholarly journals Pilot Experimentation of the Accuracy of Accelerometer Activity Count-Derived Breaks in Sedentary Time

2018 ◽  
Vol 8 (1) ◽  
pp. 62-67
Author(s):  
Paul D. Loprinzi ◽  
Meghan K Edwards
Keyword(s):  
Sedentary Behavior ◽  
Direct Observation ◽  
Sedentary Time ◽  
Low Frequency ◽  
Standing Position ◽  
Accelerometer Data ◽  
Frequency Filter ◽  
Activity Count ◽  
Breaks In Sedentary Time

Introduction: The purpose of this study was toconduct a pilot experimentation of the accuracy of the ActiGraph GT9X model in detecting breaks from sedentary behavior. Methods: Participants completed six transitional-based sedentary break activities while wearing an ActiGraph GT9X accelerometer. Data were processed using both the default filter and low-frequency extension filter. Direct observation was used as the criterion to observe a break in sedentary behavior. Trial 1 included the transition from sitting to standing; trial 2, sitting to walking for 30 sec; trial 3, sitting to walking for 1 min; trial 4, standing to walking for 30 sec; trial 5, standing to walking for 1 min; and trial 6, standing to sitting. Results: For both the default and low-frequency filter, the accelerometer only detected a break 10% of the time for trial 1. Accuracy was also low (<40%) for trial 6. However, accuracy was perfect (100%) for trials 2-5. Conclusion: The ActiGraph GT9X accelerometer was inaccurate in detecting a sedentary break when transitioning from a sitting to standing position but was accurate for other transitional shifts.

Associations Between Breaks in Sedentary Time and Body Size in Pacific Mothers and Their Children: Findings From the Pacific Islands Families Study

2013 ◽  
Vol 10 (8) ◽  
pp. 1166-1174 ◽  
Author(s):  
Melody Oliver ◽  
Philip J. Schluter ◽  
Genevieve N. Healy ◽  
El-Shadan Tautolo ◽  
Grant Schofield ◽  
...  
Keyword(s):  
Body Size ◽  
Waist Circumference ◽  
Pacific Islands ◽  
Sedentary Time ◽  
Average Frequency ◽  
Accelerometer Data ◽  
High Waist Circumference ◽  
Reduced Body ◽  
General Populations ◽  
Breaks In Sedentary Time

Background:Breaks in sedentary behavior are associated with reduced body size in general populations. This study is the first to consider the relationship between objectively assessed sedentary breaks and body size in Pacific children and their mothers.Methods:Pacific children aged 6 years (n = 393) and their mothers (n = 386) residing in New Zealand were invited to participate in 2006. Sedentary time was assessed via accelerometry. Average frequency, duration, and intensity of breaks in sedentary time per hour were calculated. Waist circumference was assessed and demographic factors collected via questionnaire. Relationships between waist circumference and potential associated factors for participants were assessed using linear regression analyses.Results:Accelerometer data were obtained from 126 children (52 boys) and 108 mothers. Mean (standard deviation) waist circumference values for mothers and children were 114 cm (20.1 cm) and 59.4 cm (7.8 cm), respectively. For mothers, time spent sedentary and being an ex/nonsmoker were positively related to waist circumference. For children, watching television every day and having a mother with a high waist circumference was associated with a greater waist circumference.Conclusion:Strategies that focus on reducing sedentary time in Pacific mothers and on encouraging television free days in young Pacific children are recommended.

scholarly journals Striking the Right Balance: Evidence to Inform Combined Physical Activity and Sedentary Behavior Recommendations

2021 ◽  
pp. 1-7
Author(s):  
Sebastien F.M. Chastin ◽  
Duncan E. McGregor ◽  
Stuart J.H. Biddle ◽  
Greet Cardon ◽  
Jean-Philippe Chaput ◽  
...  
Keyword(s):  
Physical Activity ◽  
Light Intensity ◽  
Health Outcomes ◽  
Sedentary Behavior ◽  
Sedentary Time ◽  
World Health ◽  
Accelerometer Data ◽  
All Cause Mortality ◽  
Intensity Physical Activity ◽  
Vigorous Intensity

Background: Crucial evidence gaps regarding: (1) the joint association of physical activity and sedentary time with health outcomes and (2) the benefits of light-intensity physical activity were identified during the development of recommendations for the World Health Organization Guidelines on physical activity and sedentary behavior (SB). The authors present alternative ways to evidence the relationship between health outcomes and time spent in physical activity and SB and examine how this could be translated into a combined recommendation in future guidelines. Methods: We used compositional data analysis to quantify the dose–response associations between the balance of time spent in physical activity and SB with all-cause mortality. The authors applied this approach using 2005–2006 National Health and Nutrition Examination Survey accelerometer data. Results: Different combinations of time spent in moderate- to vigorous-intensity physical activity, light-intensity physical activity, and SB are associated with similar all-cause mortality risk level. A balance of more than 2.5 minutes of moderate- to vigorous-intensity physical activity per hour of daily sedentary time is associated with the same magnitude of risk reduction for all-cause mortality as obtained by being physically active according to the current recommendations. Conclusion: This method could be applied to provide evidence for more flexible recommendations in the future with options to act on different behaviors depending on individuals’ circumstances and capacity.

A Snapshot on the Daily Sedentary Behavior of Community Dwelling Older African American Women

2017 ◽  
Vol 49 (2) ◽  
pp. 114-133
Author(s):  
Emerson Sebastião ◽  
Wojtek Chodzko-Zajko ◽  
Andiara Schwingel
Keyword(s):  
Physical Activity ◽  
African American ◽  
Sedentary Behavior ◽  
African American Women ◽  
Sedentary Time ◽  
Community Dwelling ◽  
Accelerometer Data ◽  
American Women ◽  
Older African American Women ◽  
Sedentary Bouts

Long periods of sedentary behavior (SB) is detrimental for health. This study investigated SB in older African American women (OAAW) and further compared it between participants of different physical activity status. Twenty OAAW had their sedentary time measured by accelerometers for seven consecutive days. Actigraph 6 processed accelerometer data and SPSS was used for statistical analysis with significance set at p < .05. Our sample spent approximately 9 hours in SB with an average of 27 breaks of sedentary time per day. The inactive group had higher amounts of time ( p < .01) on the average length of sedentary bout and the average number of sedentary bouts longer than 30 minutes compared with the active group. OAAW spend large amounts of their awaking hours in sedentary activities. The findings suggest that the inactive women may be at increased health risk based on the low levels of physical activity and the prolonged sedentary bouts.

scholarly journals Social-ecological correlates of accelerometer-measured occupational sitting among Japanese desk-based workers

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Satoshi Kurita ◽  
Ai Shibata ◽  
Kaori Ishii ◽  
Mohammad Javad Koohsari ◽  
Koichiro Oka
Keyword(s):  
Sedentary Behavior ◽  
Sedentary Time ◽  
Ecological Factors ◽  
Full Time ◽  
Accelerometer Data ◽  
Work Time ◽  
Related Factors ◽  
Social Ecological ◽  
Sedentary Breaks ◽  
Male Workers

Abstract Background Although the main targets for reducing workplace sedentary behavior have been clarified, only a few studies have examined the association between social-ecological factors and workplace sedentary behavior for effective intervention. The present study aimed to examine the social-ecological factors of workplace sedentary behavior among Japanese sedentary workers. Methods Participants were recruited via a cross-sectional mail survey targeting randomly sampled 6000 middle-aged people dwelling in Matsuyama-city and Koto-ku in Japan. Participants answered a questionnaire on social-ecological factors, recorded their work time in a diary, and wore a triaxial accelerometer during waking time for 7 consecutive days. Workplace sedentary behavior was measured using accelerometer and was referred to as the work time in the recorded diary. Full-time workers who had mainly sitting work and valid accelerometer data were included in the analysis. Workplace sedentary variables were sedentary breaks per sedentary hour, sedentary time, and ≥ 30 min bouts of sedentary time. The associations between each sedentary variable and social-ecological factors were explored by conducting three multiple linear regression analyses adjusting for sociodemographic and health-related factors. Results A total of 227 participants (133 men, mean age 49.9 ± 6.9 years) were included in the analysis. In the overall sample, “typically seeing work colleagues take sedentary breaks” was significantly associated with more sedentary breaks (B [95% confidence interval {CI}=1.40 [0.07 to 2.73]) and shorter ≥30-min bouts of sedentary time (B [95% CI] = −7.08 [−13.75 to −0.40]). “I am motivated to take sedentary breaks” had an unfavorable association with less sedentary breaks (B [95% CI] = −1.36 [−2.61 to −0.12]) and longer sedentary time (B [95% CI] = 4.15 [0.29 to 8.00]). In male workers, “Too stressed to take sedentary breaks” was significantly associated with less sedentary breaks (B [95% CI] = −5.6 [−9.17 to −2.02]). Conclusions Seeing work colleagues take sedentary breaks may be important for reducing workplace sedentary behavior. Those who are more sedentary are motivated to take sedentary breaks. Male workers who feel the need to take sedentary breaks at work are more sedentary.

scholarly journals Agreement of Sedentary Behavior Metrics Derived From Hip- and Thigh-Worn Accelerometers Among Older Adults: With Implications for Studying Physical and Cognitive Health

2021 ◽  
Vol 4 (1) ◽  
pp. 79-88
Author(s):  
John Bellettiere ◽  
Fatima Tuz-Zahra ◽  
Jordan A. Carlson ◽  
Nicola D. Ridgers ◽  
Sandy Liles ◽  
...  
Keyword(s):  
Older Adults ◽  
Health Outcomes ◽  
Sedentary Behavior ◽  
Sedentary Time ◽  
Statistical Significance ◽  
Limits Of Agreement ◽  
Cognitive Health ◽  
Bout Duration ◽  
Breaks In Sedentary Time ◽  
Pearson Correlations

Little is known about how sedentary behavior (SB) metrics derived from hip- and thigh-worn accelerometers agree for older adults. Thigh-worn activPAL (AP) micro monitors were concurrently worn with hip-worn ActiGraph (AG) GT3X+ accelerometers (with SB measured using the 100 counts per minute [cpm] cut point; AG100cpm) by 953 older adults (age 77 ± 6.6, 54% women) for 4–7 days. Device agreement for sedentary time and five SB pattern metrics was assessed using mean error and correlations. Logistic regression tested associations with four health outcomes using standardized (i.e., z scores) and unstandardized SB metrics. Mean errors (AP − AG100cpm) and 95% limits of agreement were: sedentary time −54.7 [−223.4, 113.9] min/day; time in 30+ min bouts 77.6 [−74.8, 230.1] min/day; mean bout duration 5.9 [0.5, 11.4] min; usual bout duration 15.2 [0.4, 30] min; breaks in sedentary time −35.4 [−63.1, −7.6] breaks/day; and alpha −.5 [−.6, −.4]. Respective Pearson correlations were: .66, .78, .73, .79, .51, and .40. Concordance correlations were: .57, .67, .40, .50, .14, and .02. The statistical significance and direction of associations were identical for AG100cpm and AP metrics in 46 of 48 tests, though significant differences in the magnitude of odds ratios were observed among 13 of 24 tests for unstandardized and five of 24 for standardized SB metrics. Caution is needed when interpreting SB metrics and associations with health from AG100cpm due to the tendency for it to overestimate breaks in sedentary time relative to AP. However, high correlations between AP and AG100cpm measures and similar standardized associations with health outcomes suggest that studies using AG100cpm are useful, though not ideal, for studying SB in older adults.

scholarly journals Associations of Sedentary Behavior, Sedentary Bouts and Breaks in Sedentary Time with Cardiometabolic Risk in Children with a Family History of Obesity

PLoS ONE ◽  
2013 ◽  
Vol 8 (11) ◽  
pp. e79143 ◽  
Author(s):  
Travis John Saunders ◽  
Mark Stephen Tremblay ◽  
Marie-Ève Mathieu ◽  
Mélanie Henderson ◽  
Jennifer O’Loughlin ◽  
...  
Keyword(s):  
Family History ◽  
Sedentary Behavior ◽  
Cardiometabolic Risk ◽  
Sedentary Time ◽  
History Of ◽  
Sedentary Bouts ◽  
History Of Obesity ◽  
Breaks In Sedentary Time

Abstract P138: Association between Cardiovascular Fitness and Accelerometer-Derived Physical Activity and Sedentary Time in the General Population

Circulation ◽  
2013 ◽  
Vol 127 (suppl_12) ◽  
Author(s):  
Jacquelyn Kulinski ◽  
Amit Khera ◽  
Colby Ayers ◽  
Sandeep Das ◽  
James de Lemos ◽  
...  
Keyword(s):  
Physical Activity ◽  
Sedentary Behavior ◽  
Sedentary Time ◽  
Cardiovascular Fitness ◽  
Inverse Association ◽  
Accelerometer Data ◽  
Vigorous Activity ◽  
Vo2 Max ◽  
Wear Time ◽  
A Minor

Objectives: Prior literature suggests that sedentary behavior may represent a risk factor that is independent of physical activity. The mechanism for this association remains poorly understood. We hypothesized that sedentary behavior might be inversely associated with cardiorespiratory fitness, independent of moderate and vigorous activity. Methods: We included 2,223 participants (ages 12-49 years, 47% female) without known heart disease who had both cardiovascular fitness testing and at least one valid day of accelerometer data from NHANES 2003-2004. From accelerometer data, we quantified bouts of exercise (at least 8 of 10 minutes above previously defined thresholds corresponding to moderate- or vigorous-intensity activity) as mean minutes of activity bouts per day for each participant. Sedentary time was defined as <100 counts per minute of wear time in mean minutes per day. VO2 max estimates were derived from a sub-maximal exercise treadmill test using measured heart rate responses to known levels of exercise workloads. Multivariable-adjusted linear regression analyses were performed with fitness as the dependent variable. Models were stratified by gender and adjusted for age, BMI, mean wear time and included both sedentary and moderate-vigorous activity time. Results: We observed that moderate and vigorous exercises levels were positively correlated to VO2 max (R=0.237, p<0.0001). Sedentary time was found to be inversely associated with VO2 max (R=-0.07, p=0.002). With each additional minute of moderate-vigorous activity, VO2 max increased by 0.05 ml/kg/min (p=0.001, men) and 0.08 ml/kg/min (p=0.004, women). For each additional minute of sedentary time, VO2 decreased by 0.01 ml/kg/min in both men (p=0.026) and women (p=0.001). Conclusions: After adjustment for moderate and vigorous activity, sedentary behavior appears to have a minor, inverse association with fitness. These findings suggest that the risk related to sedentary behavior might be mediated, in part, through lower fitness levels.

Comparisons of physical activity and sedentary behavior between owners and non-owners of commercial wearable devices

2021 ◽  
Vol 141 (2) ◽  
pp. 89-96
Author(s):  
Hsin-Yen Yen ◽  
Hao-Yun Huang
Keyword(s):  
Physical Activity ◽  
Sleep Quality ◽  
Sedentary Behavior ◽  
Sedentary Time ◽  
Short Form ◽  
Wearable Devices ◽  
Wearable Device ◽  
World Health ◽  
World Health Organization Quality ◽  
Quality Of Life Scale

Aims: Wearable devices are a new strategy for promoting physical activity in a free-living condition that utilizes self-monitoring, self-awareness, and self-determination. The main purpose of this study was to explore health benefits of commercial wearable devices by comparing physical activity, sedentary time, sleep quality, and other health outcomes between individuals who used and those that did not use commercial wearable devices. Methods: The research design was a cross-sectional study using an Internet survey in Taiwan. Self-administered questionnaires included the International Physical Activity Questionnaire–Short Form, Pittsburgh Sleep Quality Index, Health-Promoting Lifestyle Profile, and World Health Organization Quality-of-Life Scale. Results: In total, 781 participants were recruited, including 50% who were users of wearable devices and 50% non-users in the most recent 3 months. Primary outcomes revealed that wearable device users had significantly higher self-reported walking, moderate physical activity, and total physical activity, and significantly lower sedentary time than non-users. Wearable device users had significantly better sleep quality than non-users. Conclusion: Wearable devices inspire users’ motivation, engagement, and interest in physical activity through habit formation. Wearable devices are recommended to increase physical activity and decrease sedentary behavior for promoting good health.

scholarly journals Children and Adolescents Treated for Valvular Aortic Stenosis Have Different Physical Activity Patterns Compared to Healthy Controls: A Methodological Study in a National Cohort

2021 ◽  
Author(s):  
Pia Skovdahl ◽  
Cecilia Kjellberg Olofsson ◽  
Jan Sunnegårdh ◽  
Jonatan Fridolfsson ◽  
Mats Börjesson ◽  
...  
Keyword(s):  
Physical Activity ◽  
High Resolution ◽  
Aortic Stenosis ◽  
Children And Adolescents ◽  
Sedentary Time ◽  
Heart Defects ◽  
Sports Participation ◽  
Accelerometer Data ◽  
Healthy Controls ◽  
Valvular Aortic Stenosis

AbstractPrevious research in children and adolescents with congenital heart defects presents contradictory findings concerning their physical activity (PA) level, due to methodological limitations in the PA assessment. The aim of the present cross-sectional study was to compare PA in children and adolescents treated for valvular aortic stenosis with healthy controls using an improved accelerometer method. Seven-day accelerometer data were collected from the hip in a national Swedish sample of 46 patients 6–18 years old treated for valvular aortic stenosis and 44 healthy controls matched for age, gender, geography, and measurement period. Sports participation was self-reported. Accelerometer data were processed with the new improved Frequency Extended Method and with the traditional ActiGraph method for comparison. A high-resolution PA intensity spectrum was investigated as well as traditional crude PA intensity categories. Children treated for aortic stenosis had a pattern of less PA in the highest intensity spectra and had more sedentary time, while the adolescent patients tended to be less physically active in higher intensities overall and with less sedentary time, compared to the controls. These patterns were evident using the Frequency Extended Method with the detailed PA intensity spectrum, but not to the same degree using the ActiGraph method and traditional crude PA intensity categories. Patients reported less sports participation than their controls in both age-groups. Specific differences in PA patterns were revealed using the Frequency Extended Method with the high-resolution PA intensity spectrum in Swedish children and adolescents treated for valvular aortic stenosis.

scholarly journals Impact of free-living pattern of sedentary behaviour on intra-day glucose regulation in type 2 diabetes

2019 ◽  
Vol 120 (1) ◽  
pp. 171-179 ◽  
Author(s):  
Aye C. Paing ◽  
Kathryn A. McMillan ◽  
Alison F. Kirk ◽  
Andrew Collier ◽  
Allan Hewitt ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Sedentary Behaviour ◽  
Sedentary Time ◽  
Glucose Monitoring ◽  
Glucose Regulation ◽  
Dawn Phenomenon ◽  
Freestyle Libre ◽  
Breaks In Sedentary Time ◽  
Target Glucose

Abstract Purpose To investigate how the pattern of sedentary behaviour affects intra-day glucose regulation in type 2 diabetes. Methods This intensive longitudinal study was conducted in 37 participants with type 2 diabetes (age, 62.8 ± 10.5 years). Glucose and sedentary behaviour/physical activity were assessed with a continuous glucose monitoring (Abbott FreeStyle Libre) and an activity monitor (activPAL3) for 14 days. Multiple regression models with generalised estimating equations (GEEs) approach were used to assess the associations of sedentary time and breaks in sedentary time with pre-breakfast glucose, pre-lunch glucose, pre-dinner glucose, post-breakfast glucose, post-lunch glucose, post-dinner glucose, bedtime glucose, the dawn phenomenon, time in target glucose range (TIR, glucose 3.9–10 mmol/L) and time above target glucose range (TAR, glucose > 10 mmol/L). Results Sedentary time was associated with higher pre-breakfast glucose (p = 0.001), pre-dinner glucose (p < 0.001), post-lunch glucose (p = 0.005), post-dinner glucose (p = 0.013) and the dawn phenomenon (p < 0.001). Breaks in sedentary time were associated with lower pre-breakfast glucose (p = 0.023), pre-dinner glucose (p = 0.023), post-breakfast glucose (p < 0.001) and the dawn phenomenon (p = 0.004). The association between sedentary time and less TIR (p = 0.022) and the association between breaks in sedentary time and more TIR (p = 0.001) were also observed. Conclusions Reducing sedentary time and promoting breaks in sedentary time could be clinically relevant to improve intra-day glucose regulation in type 2 diabetes.

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