Waist-Worn Actigraphy: Population-Referenced Percentiles for Total Activity Counts in U.S. Adults

2015 ◽  
Vol 12 (4) ◽  
pp. 447-453 ◽  
Author(s):  
Dana L. Wolff-Hughes ◽  
Eugene C. Fitzhugh ◽  
David R. Bassett ◽  
James R. Churilla
Keyword(s):  
Physical Activity ◽  
Vigorous Physical Activity ◽  
Current Method ◽  
Total Activity ◽  
Accelerometer Data ◽  
Activity Count ◽  
Health And Nutrition ◽  
And Gender ◽  
Gender Specific ◽  
Daily Total

Background:Accelerometer-derived total activity count is a measure of total physical activity (PA) volume. The purpose of this study was to develop age- and gender-specific percentiles for daily total activity counts (TAC), minutes of moderate-to-vigorous physical activity (MVPA), and minutes of light physical activity (LPA) in U.S. adults.Methods:Waist-worn accelerometer data from the 2003-2006 National Health and Nutrition Examination Survey were used for this analysis. The sample included adults >20 years with >10 hours accelerometer wear time on >4 days (N = 6093). MVPA and LPA were defined as the number of 1-minute epochs with counts >2020 and 100 to 2019, respectively. TAC represented the activity counts acquired daily. TAC, MVPA, and LPA were averaged across valid days to produce a daily mean.Results:Males in the 50th percentile accumulated 288 140 TAC/day, with 357 and 22 minutes/day spent in LPA and MVPA, respectively. The median for females was 235 741 TAC/day, with 349 and 12 minutes/day spent in LPA and MVPA, respectively.Conclusions:Population-referenced TAC percentiles reflect the total volume of PA, expressed relative to other adults. This is a different approach to accelerometer data reduction that complements the current method of looking at time spent in intensity subcategories.

Physical Activity, Inactivity, and Health

2015 ◽  
Vol 27 (1) ◽  
pp. 21-25 ◽  
Author(s):  
Alex V. Rowlands
Keyword(s):  
Physical Activity ◽  
Vigorous Physical Activity ◽  
Total Activity ◽  
Activity Level ◽  
Light Physical Activity ◽  
Metabolic Equivalents ◽  
Level Of Activity ◽  
Median Level ◽  
And Gender ◽  
Gender Specific

Background:The total activity volume performed is an overall measure that takes into account the frequency, intensity, and duration of activities performed. The importance of considering total activity volume is shown by recent studies indicating that light physical activity (LPA) and intermittent moderate-to-vigorous physical activity (MVPA) have health benefits. Accelerometer-derived total activity counts (TAC) per day from a waist-worn accelerometer can serve as a proxy for an individual’s total activity volume. The purpose of this study was to develop age- and gender-specific percentiles for daily TAC, minutes of MVPA, and minutes of LPA in U.S. youth ages 6-19 y.Methods:Data from the 2003-2006 NHANES waist-worn accelerometer component were used in this analysis. The sample was composed of youth aged 6-19 years with at least 4 d of ≥10 hr of accelerometer wear time (N = 3698). MVPA was defined using age specific cutpoints as the total number of minutes at ≥4 metabolic equivalents (METs) for youth 6-17 y or minutes with ≥2020 counts for youth 18-19 y. LPA was defined as the total number of minutes between 100 counts and the MVPA threshold. TAC/d, MVPA, and LPA were averaged across all valid days.Results:For males in the 50th percentile, the median activity level was 441,431 TAC/d, with 53 min/d of MVPA and 368 min/d of LPA. The median level of activity for females was 234,322 TAC/d, with 32 min/d of MVPA and 355 min/d of LPA.Conclusion:Population referenced TAC/d percentiles for U.S. youth ages 6-19 y provide a novel means of characterizing the total activity volume performed by children and adolescents.

scholarly journals Playing traditional games vs. free-play during physical education lesson to improve physical activity: a comparison study

2021 ◽  
Vol 25 (3) ◽  
pp. 178-187
Author(s):  
'Arif B. Azlan ◽  
Nadzirah Ismail ◽  
Nor Farah Mohamad Fauzi ◽  
Ruzita Abd. Talib
Keyword(s):  
Physical Activity ◽  
Physical Education ◽  
Secondary School ◽  
Secondary School Students ◽  
Vigorous Physical Activity ◽  
Total Activity ◽  
Free Play ◽  
School Students ◽  
Activity Count ◽  
The Mean

Background and Study Aim. Non-sport activities like traditional games can be a practical way to promote physical activity (PA) during physical education (PE) lessons, especially among those who are less inclined towards sports. The purpose of this study is to compare the PA variables and acceptance between playing traditional games and free-play during physical education lessons among secondary school students. Material and Methods. Fifty-six (n = 56) subjects participated in this study wore accelerometers for a total of 40 minutes during each PE lesson to record PA. In the first week, a 40-min free-play PE lesson was done while in the second week, a 40-min PE lesson incorporated with traditional games (TG-PE lesson) was done. After following both lessons, subjects filled up a questionnaire on acceptance of TG-PE and free-play PE lessons. Results. The mean total activity count (p < 0.05) and time spent in moderate-to-vigorous physical activity (MVPA) (p < 0.05) were 20% and 19% greater respectively during TG-PE lesson compared to free-play PE lesson. The mean acceptance scores showed students preferred playing TG (19.29 ± 4.21; p < 0.00) over free-play PE lesson (17.59 ± 3.13). Conclusions. In conclusion, incorporating fun and meaningful activities such as TG during PE lessons can serve as an alternative strategy to promote PA during school hours. Further studies are warranted to determine other types of TG that may promote PA among secondary school students.

Total Activity Counts and Bouted Minutes of Moderate-To-Vigorous Physical Activity: Relationships With Cardiometabolic Biomarkers Using 2003–2006 NHANES

2015 ◽  
Vol 12 (5) ◽  
pp. 694-700 ◽  
Author(s):  
Dana L. Wolff-Hughes ◽  
Eugene C. Fitzhugh ◽  
David R. Bassett ◽  
James R. Churilla
Keyword(s):  
Physical Activity ◽  
Blood Pressure ◽  
Waist Circumference ◽  
Plasma Glucose ◽  
Vigorous Physical Activity ◽  
Total Activity ◽  
C Reactive Protein ◽  
C Peptide ◽  
Reactive Protein ◽  
Health And Nutrition

Purpose:To contrast associations of accelerometer-measured moderate-to-vigorous physical activity (MVPA) accumulated in bouts and total activity counts (TAC) with cardiometabolic biomarkers in U.S. adults.Methods:Using 2003–2006 National Health and Nutrition Examination Survey (NHANES) data, the sample was comprised of adults ≥ 20 years, not pregnant or lactating, with self-reported PA and at least 4 days of ≥ 10 hours accelerometer wear time (N = 5668). Bouted MVPA represented the minutes/day with ≥ 2020 counts/minute in bouts of 10 minutes or longer and TAC represented the total activity counts per day. Biomarkers included: cholesterol, triglyceride, glycohemoglobin, plasma glucose, C-peptide, insulin, C-reactive protein, homocysteine, blood pressure, body mass index (BMI), waist circumference, and skinfolds. Nested regression models were conducted which regressed each biomarker on bouted MVPA and TAC simultaneously, while adjusting for relevant covariates.Results:Results indicated TAC was more strongly associated with 11 biomarkers: HDL-C, triglyceride, plasma glucose, C-peptide, insulin, C-reactive protein, homocysteine, systolic blood pressure, waist circumference, triceps skinfold, and subscapular skinfold. Bouted MVPA, however, only displayed stronger associations with BMI.Conclusions:The total volume of physical activity, represented by TAC, appears to have stronger associations with cardiometabolic biomarkers than MVPA accumulated in bouts.

scholarly journals Cannabis use, sedentary behavior, and physical activity in a nationally representative sample of US adults

2021 ◽  
Vol 18 (1) ◽  
Author(s):  
Lydia Q. Ong ◽  
John Bellettiere ◽  
Citlali Alvarado ◽  
Paul Chavez ◽  
Vincent Berardi
Keyword(s):  
Physical Activity ◽  
Sedentary Behavior ◽  
Vigorous Physical Activity ◽  
Health Impact ◽  
Cannabis Use ◽  
Objective Measures ◽  
Health And Nutrition ◽  
Nationally Representative ◽  
The Relationship ◽  
Potential Public Health

Abstract Background Prior research examining the relationship between cannabis use, sedentary behavior, and physical activity has generated conflicting findings, potentially due to biases in the self-reported measures used to assess physical activity. This study aimed to more precisely explore the relationship between cannabis use and sedentary behavior/physical activity using objective measures. Methods Data were obtained from the 2005–2006 National Health and Nutrition Examination Survey. A total of 2,092 participants (ages 20–59; 48.8% female) had accelerometer-measured sedentary behavior, light physical activity, and moderate-to-vigorous physical activity. Participants were classified as light, moderate, frequent, or non-current cannabis users depending on how often they used cannabis in the previous 30 days. Multivariable linear regression estimated minutes in sedentary behavior/physical activity by cannabis use status. Logistic regression modeled self-reported moderate-to-vigorous physical activity in relation to current cannabis use. Results Fully adjusted regression models indicated that current cannabis users’ accelerometer-measured sedentary behavior did not significantly differ from non-current users. Frequent cannabis users engaged in more physical activity than non-current users. Light cannabis users had greater odds of self-reporting physical activity compared to non-current users. Conclusions This study is the first to evaluate the relationship between cannabis use and accelerometer-measured sedentary behavior and physical activity. Such objective measures should be used in other cohorts to replicate our findings that cannabis use is associated with greater physical activity and not associated with sedentary behavior in order to fully assess the potential public health impact of increases in cannabis use.

scholarly journals Children’s moderate-to-vigorous physical activity on weekdays versus weekend days: a multi-country analysis

2021 ◽  
Vol 18 (1) ◽  
Author(s):  
Keith Brazendale ◽  
◽  
Michael W. Beets ◽  
Bridget Armstrong ◽  
R. Glenn Weaver ◽  
...  
Keyword(s):  
Physical Activity ◽  
Weight Status ◽  
Vigorous Physical Activity ◽  
Normal Weight ◽  
Analytical Models ◽  
Accelerometer Data ◽  
Inclusion Criteria ◽  
Total Wear ◽  
Valid Data ◽  
Country Analysis

Abstract Purpose The Structured Days Hypothesis (SDH) posits that children’s behaviors associated with obesity – such as physical activity – are more favorable on days that contain more ‘structure’ (i.e., a pre-planned, segmented, and adult-supervised environment) such as school weekdays, compared to days with less structure, such as weekend days. The purpose of this study was to compare children’s moderate-to-vigorous physical activity (MVPA) levels on weekdays versus weekend days using a large, multi-country, accelerometer-measured physical activity dataset. Methods Data were received from the International Children’s Accelerometer Database (ICAD) July 2019. The ICAD inclusion criteria for a valid day of wear, only non-intervention data (e.g., baseline intervention data), children with at least 1 weekday and 1 weekend day, and ICAD studies with data collected exclusively during school months, were included for analyses. Mixed effects models accounting for the nested nature of the data (i.e., days within children) assessed MVPA minutes per day (min/day MVPA) differences between weekdays and weekend days by region/country, adjusted for age, sex, and total wear time. Separate meta-analytical models explored differences by age and country/region for sex and child weight-status. Results/findings Valid data from 15 studies representing 5794 children (61% female, 10.7 ± 2.1 yrs., 24% with overweight/obesity) and 35,263 days of valid accelerometer data from 5 distinct countries/regions were used. Boys and girls accumulated 12.6 min/day (95% CI: 9.0, 16.2) and 9.4 min/day (95% CI: 7.2, 11.6) more MVPA on weekdays versus weekend days, respectively. Children from mainland Europe had the largest differences (17.1 min/day more MVPA on weekdays versus weekend days, 95% CI: 15.3, 19.0) compared to the other countries/regions. Children who were classified as overweight/obese or normal weight/underweight accumulated 9.5 min/day (95% CI: 6.9, 12.2) and 10.9 min/day (95% CI: 8.3, 13.5) of additional MVPA on weekdays versus weekend days, respectively. Conclusions Children from multiple countries/regions accumulated significantly more MVPA on weekdays versus weekend days during school months. This finding aligns with the SDH and warrants future intervention studies to prioritize less-structured days, such as weekend days, and to consider providing opportunities for all children to access additional opportunities to be active.

Impact of the implantable cardioverter defibrillator on confidence to undertake physical activity in inherited heart disease: A cross-sectional study

2017 ◽  
Vol 16 (8) ◽  
pp. 742-752 ◽  
Author(s):  
Joanna Sweeting ◽  
Kylie Ball ◽  
Julie McGaughran ◽  
John Atherton ◽  
Christopher Semsarian ◽  
...  
Keyword(s):  
Physical Activity ◽  
Heart Disease ◽  
Implantable Cardioverter Defibrillator ◽  
Vigorous Physical Activity ◽  
Survey Study ◽  
Accelerometer Data ◽  
Cross Sectional ◽  
Physical Activity Guidelines ◽  
Cardioverter Defibrillator ◽  
The Impact

Background: Physical activity is associated with improved quality of life. Patients with an implantable cardioverter defibrillator (ICD) face unique clinical and psychological challenges. Factors such as fear of ICD shock may negatively impact on physical activity, while a sense of protection gained from the ICD may instil confidence to be active. Aim: We aimed to examine the impact of an ICD on physical activity levels and factors associated with amount of activity. Methods: Two cross-sectional studies were conducted. Accelerometer data (seven-day) was collected in March–November 2015 for 63 consecutively recruited hypertrophic cardiomyopathy patients, with or without an ICD, aged ⩾18 years. A survey study was conducted in July–August 2016 of 155 individuals aged ⩾18 years with an inherited heart disease and an ICD in situ. Results: Based on the International Physical Activity Questionnaire, mean leisure time physical activity was 239 ± 300 min/week with 51% meeting physical activity guidelines. Accelerometry showed that mean moderate–vigorous physical activity was the same for patients with and without an ICD (254 ± 139 min/week versus 300 ± 150 min/week, p=0.23). Nearly half of survey participants ( n=73) said their device made them more confident to exercise. Being anxious about ICD shocks was the only factor associated with not meeting physical activity guidelines. Conclusions: Patients with inherited heart disease adjust differently to their ICD device, and for many it has no impact on physical activity. Discussion regarding the appropriate level of physical activity and potential barriers will ensure best possible outcomes in this unique patient group.

scholarly journals Children's activity and transportation choices: exploring socio-demographic correlates and health outcomes

2021 ◽  
Author(s):  
Ian D. Cantello
Keyword(s):  
Physical Activity ◽  
Cluster Analysis ◽  
Health Outcomes ◽  
Vigorous Physical Activity ◽  
Sports Participation ◽  
Demographic Correlates ◽  
Physical Health Outcome ◽  
And Gender ◽  
Using Data ◽  
Economic Analyses

Using data gathered from children aged 9-12 from Toronto (n=628), a cluster analysis was performed seeking to identify children's lifestyle activity and transportation choices, and associated physical activity accumulation. This research sought to identify whether activity and transportation choices could be combined in the same analysis and produce a composite profile. It also sought to determine if specific choice profiles could be associated with children's health outcomes as measured by Moderate to Vigorous Physical Activity (MVPA). A two-step cluster analysis was performed which identified five distinct clusters, namely Screeners, Artists, Athletes, Scholars and Mobiles. Athletes, with a high amount of sports participation had the best physical health outcome while Screeners, with little active activity engagement, had the worst. Socio-economic analyses were performed on all resultant clusters, identifying statistically significant patterns in household income, built form and gender.

Physical Activity Patterns of Free Living Dogs Diagnosed with Osteoarthritis

2021 ◽  
Author(s):  
Anne H Lee ◽  
Katelyn B Detweiler ◽  
Tisha A Harper ◽  
Kim E Knap ◽  
Maria R C de Godoy ◽  
...  
Keyword(s):  
Physical Activity ◽  
Pain Intensity ◽  
Repeated Measures ◽  
Pearson Correlation ◽  
Clinical Signs ◽  
Total Activity ◽  
Activity Count ◽  
Free Living ◽  
Activity Monitors ◽  
Average Activity

Abstract Osteoarthritis (OA) affects about 90% of dogs &gt; 5 yr of age in the US, resulting in reduced range of motion, difficulty climbing and jumping, reduced physical activity, and lower quality of life. Our objective was to use activity monitors to measure physical activity and identify how activity counts correlate with age, body weight (BW), body condition score (BCS), serum inflammatory markers, veterinarian pain assessment, and owner perception of pain in free-living dogs with OA. The University of Illinois Institutional Animal Care and Use Committee approved the study and owner consent was received prior to experimentation. Fifty-six client-owned dogs (mean age = 7.8 yr; mean BCS = 6.1) with clinical signs and veterinary diagnosis of OA wore HeyRex activity collars continuously over a 49-d period. Blood samples were collected on d 0 and 49, and dog owners completed canine brief pain inventory (CBPI) and Liverpool osteoarthritis in dogs (LOAD) surveys on d 0, 21, 35, and 49. All data were analyzed using SAS 9.3 using repeated measures and R Studio 1.0.136 was used to generate Pearson correlation coefficients between data outcomes. Average activity throughout the study demonstrated greater activity levels on weekends. It also showed that 24-h activity spiked twice daily, once in the morning and another in the afternoon. Serum C-reactive protein concentration was lower (P &lt; 0.01) at d 49 compared to d 0. Survey data indicated lower (P &lt; 0.05) overall pain intensity and severity score on d 21, 35 and 49 compared to d 0. BW was correlated with average activity counts (p=0.02; r=-0.12) and run activity (p=0.10; r=-0.24). Weekend average activity counts were correlated with owner pain intensity scores (p=0.0813; r=-0.2311), but weekday average activity count was not. Age was not correlated with total activity count, sleep activity, or run activity, but it was correlated with scratch (p=0.03; r=-0.10), alert (p=0.03; r=-0.13) and walk (p=0.09; r=-0.23) activities. Total activity counts and activity type (sleep, scratch, alert, walk, run) were not correlated with pain scored by veterinarians, pain intensity or severity scored by owners, or baseline BCS. Even though the lack of controls and/or information on the individual living conditions of dogs resulted in a high level of variability in this study, our data suggest that the use of activity monitors have the potential to aid in the management of OA and other conditions affecting activity (e.g., allergy; anxiety).

scholarly journals Is missing geographic positioning system data in accelerometry studies a problem, and is imputation the solution?

2016 ◽  
Vol 11 (2) ◽  
Author(s):  
Kristin Meseck ◽  
Marta M. Jankowska ◽  
Jasper Schipperijn ◽  
Loki Natarajan ◽  
Suneeta Godbole ◽  
...  
Keyword(s):  
Physical Activity ◽  
Built Environment ◽  
Linear Mixed Model ◽  
Vigorous Physical Activity ◽  
Gps Data ◽  
Positioning System ◽  
Accelerometer Data ◽  
Generalised Linear Mixed Model ◽  
Significant Difference ◽  
The Impact

The main purpose of the present study was to assess the impact of global positioning system (GPS) signal lapse on physical activity analyses, discover any existing associations between missing GPS data and environmental and demographics attributes, and to determine whether imputation is an accurate and viable method for correcting GPS data loss. Accelerometer and GPS data of 782 participants from 8 studies were pooled to represent a range of lifestyles and interactions with the built environment. Periods of GPS signal lapse were identified and extracted. Generalised linear mixed models were run with the number of lapses and the length of lapses as outcomes. The signal lapses were imputed using a simple ruleset, and imputation was validated against person-worn camera imagery. A final generalised linear mixed model was used to identify the difference between the amount of GPS minutes pre- and post-imputation for the activity categories of sedentary, light, and moderate-to-vigorous physical activity. Over 17% of the dataset was comprised of GPS data lapses. No strong associations were found between increasing lapse length and number of lapses and the demographic and built environment variables. A significant difference was found between the pre- and postimputation minutes for each activity category. No demographic or environmental bias was found for length or number of lapses, but imputation of GPS data may make a significant difference for inclusion of physical activity data that occurred during a lapse. Imputing GPS data lapses is a viable technique for returning spatial context to accelerometer data and improving the completeness of the dataset.

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