Research Tracker 6 Accelerometer Calibration and Validation in Comparison to GENEActiv, ActiGraph, and Gas Analysis in Young Adults

2019 ◽  
Vol 2 (3) ◽  
pp. 176-187
Author(s):  
Emma L. J. Eyre ◽  
Jason Tallis ◽  
Susie Wilson ◽  
Lee Wilde ◽  
Liam Akhurst ◽  
...  

Background: The ability to objectively assess physical activity and inactivity in free living individuals is important in understanding activity patterns and the dose response relationship with health. Currently, a large number of research tools exist, but little evidence has examined the validity/utility of the Research Tracker 6 (RT6) monitor. Questions remain in regard to the best placements, positions, and cut-points in young adults to determine activity intensity across a range of activities. This study sought to address this gap in young adults. The study aims were 1) to examine criterion validity of RT6 in comparison to breath-by-breath gas analysis; 2) convergent validity of RT6 in comparison to ActiGraph and GENEActiv; 3) development of RT6 tri-axial vector magnitude cut-points to classify physical activity at different intensities (i.e., for sedentary, moderate, and vigorous); 4) to compare the generated cut-points of the RT6 in comparison to other tools. Methods: Following ethics approval and informed consent, 31 young adults (age = 22±3 years: BMI = 23±3 kg/m2) undertook five modes of physical activity/sedentary behaviors while wearing three different accelerometers at hip and wrist locations (ActiGraph GT9X Link, GENEActiv, RT6). Expired gas was sampled during the five activities (MetaMax 3B). Correlational analysis assessed the relationship between accelerometer devices and METs/VO2. Receiver Operating Characteristic Curves analysis were used to calculate area under the curve and define cut-points for physical activity intensities. Results: The RT6 demonstrated criterion and convergent validity (r = 0.662–0.966, P < .05). RT6 generally performed good to excellent across activity intensities and monitor position (sedentary [AUC = 0.862–0.911], moderate [AUC = 0.849–0.830], vigorous [AUC = 0.872–0.877]) for non-dominant and dominant position, respectively. Cut-points were derived across activity intensities for non-dominant- and dominant-worn RT6 devices. Comparison of the RT6 derived cut-points identified appropriate agreement with comparative tools but yields the strongest agreement with the ActiGraph monitor at the hip location during sedentary, light, and moderate activity. Conclusion: The RT6 performed similar to the ActiGraph and GENEActiv and is capable of classifying the intensity of physical activity in young adults. As such this may offer a more useable tool for understanding current physical activity levels and in intervention studies to monitor and track changes without the excessive need for downloading and making complex analysis, especially given the option to view energy expenditure data while wearing it. The RT6 should be placed on the dominant hip when determining activities that are sedentary, moderate, or vigorous intensity.

2006 ◽  
Vol 101 (5) ◽  
pp. 1328-1334 ◽  
Author(s):  
Duncan J. Macfarlane ◽  
Cherry C. Y. Lee ◽  
Edmond Y. K. Ho ◽  
K. L. Chan ◽  
Dionise Chan

The purpose was to examine the agreement (convergent validity) between six common measures of habitual physical activity to estimate durations of light, moderate, vigorous, and total activity in a range of free-living individuals. Over 7 consecutive days, 49 ethnic Chinese (30 men, 19 women), aged 15–55 yr, wore a Polar heart rate monitor, a uniaxial MTI, and triaxial Tritrac accelerometer, plus a Yamax pedometer for ≥600 min/day. They also completed a daily physical activity log and on day 8 a Chinese version of the 7-day International Physical Activity Questionnaire. At each level of activity, there was good agreement between the two questionnaire-derived instruments and the two accelerometry-derived instruments, but wide variation across different instruments, with two- to fourfold differences in mean durations often seen. The heart rate monitor overestimated light activity and underestimated moderate activity compared with all other measures. Spearman correlation coefficients were low to moderate (0.2–0.5) across most measures of activity, with the pedometer showing correlations with total activity that were often superior to the other movement sensors. We conclude that, with the use of commonly accepted cut points for defining light, moderate, vigorous, and total activity, little convergent validity across the instruments was evident, suggesting these measures are sampling different levels of habitual physical activity and care is needed when comparing their results. To provide a more stable comparison of activity among different people, across studies, or against accepted physical activity promotion guidelines, further work is needed to fine tune the different cut points across a range of common activity monitors to provide more consistent results during free-living conditions.


2011 ◽  
Vol 8 (4) ◽  
pp. 457-467 ◽  
Author(s):  
Carrie D. Patnode ◽  
Leslie A. Lytle ◽  
Darin J. Erickson ◽  
John R. Sirard ◽  
Daheia J. Barr-Anderson ◽  
...  

Background:While much is known about the overall levels of physical activity and sedentary activity among youth, few studies have attempted to define clusters of such behaviors. The purpose of this study was to identify and describe unique classes of youth based on their participation in a variety of physical activity and sedentary behaviors.Methods:Latent class analysis was used to characterize segments of youth based on patterns of self-reported and accelerometer-measured participation in 12 behaviors. Children and adolescents (N = 720) from 6th-11th grade were included in the analysis. Differences in class membership were examined using multinomial logistic regression.Results:Three distinct classes emerged for boys and girls. Among boys, the 3 classes were characterized as “Active” (42.1%), “Sedentary” (24.9%), and “Low Media/Moderate Activity” (33.0%). For girls, classes were “Active” (18.7%), “Sedentary” (47.6%), and “Low Media/Functional Activity” (33.7%). Significant differences were found between the classes for a number of demographic indicators including the proportion in each class who were classified as overweight or obese.Conclusions:The behavioral profiles of the classes identified in this study can be used to suggest possible audience segments for intervention and to tailor strategies appropriately.


2015 ◽  
Vol 12 (11) ◽  
pp. 1453-1460 ◽  
Author(s):  
Erin Kaye Howie ◽  
Timothy Olds ◽  
Joanne A. McVeigh ◽  
Rebecca A. Abbott ◽  
Leon Straker

Background:The detailed patterns of physical activity and sedentary behaviors of overweight and obese adolescents are unknown, but may be important for health outcomes and targeted intervention design.Methods:Participants completed Curtin University’s Activity, Food and Attitudes Program (CAFAP), an 8-week intervention with 12 months of maintenance intervention. Physical activity and sedentary time were assessed at 6 time periods with accelerometers and were analyzed by 1) time and type of day, 2) intensity bout patterns using exposure variation analysis, and 3) individual case analysis.Results:Participants (n = 56) spent a lower percentage of time at baseline in light activity during school days compared with weekend days (24.4% vs 29.0%, P = .004). The majority of time was in long uninterrupted sedentary bouts of greater than 30 minutes (26.7% of total time, 36.8% of sedentary time at baseline). Moderate activity was accumulated in short bouts of less than 5 minutes (3.1% of total time, 76.0% moderate time). Changes varied by individuals.Conclusions:Exposure variation analysis revealed specific changes in activity patterns in overweight and obese adolescents who participated in a lifestyle intervention. A better understanding of these patterns can help to design interventions that meaningfully affect specific behaviors, with unique health consequences.


2020 ◽  
Author(s):  
Baozhen Huang ◽  
Shixi Zhang ◽  
Jiuyu Gong ◽  
Yanlin Niu ◽  
Fengjuan Zhang ◽  
...  

Abstract Background There are very few studies focusing on the relationship between COVID-19 and pre-infection lifestyle. In the absence of effective vaccines and special-effect medicines, it is very meaningful to actively respond to the disease pandemic by improving lifestyle habits. Methods This is a multicenter, retrospective cohort study enrolled 431 adult people including 228 normal people and 203 confirmed infects in Wubei, Henan and Shandong Provinces. Questionnaires were used to collect information on physical activity and lifestyle by competent doctors. The univariate logistic regression models and multiple regression models were used in risk factor analysis. Kruskal-Wallis H test were used to test the correlation. Results Lifestyle habits including exercise, smoking, sedentary behavior and physical activity intensity can significantly affect the probability of getting COVID-19 (P < 0.05). The MET (Metabolic Equivalent) intensity classification and sleep status are found to be the potential influencing factors of prognosis in both all infects and symptomatic patients. In all infects, taking the high MET intensity level as a reference, inpatient days would increase by 1.812 times (95% CI: 0.887–3.701) with no significance when the level is moderate (P > 0.05) and significantly increase by 6.674 times (95% CI: 1.613–27.613) when the level is low (P < 0.05). Kruskal-Wallis H test results showed moderate activity MET*min promoted shorter hospital stay (P < 0.05) mainly. Conclusions Sleep status and physical activity influenced the susceptibility and prognosis of COVID-19. Lack of sleep and low MET intensity level may prolong the hospital stay, which means a relatively slow recovery. This encourages the public to have moderate physical activity and adequate sleep to respond to the COVID-19 pandemic actively.


2021 ◽  
Vol 6 (3) ◽  
pp. 411-420
Author(s):  
Gilang Fachri Maulana ◽  
Novita Intan Arovah

International Physical Activity Questionnaire (IPAQ) and the Global Physical Activity Questionnaire (GPAQ) are the two most widely used to measure physical activity (PA). Yet, their convergent validation with the maximum oxygen capacity (VO2Max) among Indonesian young adults is unknown. This study compared physical activity (PA) assessments using IPAQ and GPAQ and their correlations with the maximal oxygen capacity (VO2Max) in the young adult population. This study was a cross-sectional descriptive study on 63 Sports Science students (84.13% Male age ranged 18-22 years). PA was measured using both the GPAQ and IPAQ to calculate the total PA and PA in each domain (i.e. work-related, transport-related, and leisure). One additional domain which was household-related was assessed exclusively for the IPAQ based on the scoring guideline. The VO2Max was measured using a standard equation based on participants’ performance on a 1-mile run. Paired sample t-test was conducted to compare total PA based on GPAQ and IPAQ while the Wilcoxon sign rank test was conducted to compare GPAQ and IPAQ domains. Pearson or Spearman correlation test assessed the correlations among the VO2Max, total PA, and PA on each GPAQ’s and IPAQ domain. No significant difference in the total PA per week between IPAQ and GPAQ was found. Significant differences, however, were found in work and transport domains, but not in the leisure domains. A moderate correlation among GPAQ and IPAQ (r=0.56, p=0.01), a moderate correlation between GPAQ and VO2Max (r=0.41, p= 0.01) but a weak correlation between IPAQ dan VO2Max (r=0.25, p<0.05) were demonstrated. While, this study has indicated convergent validity of both GPAQ and IPAQ, GPAQ has a higher correlation with VO2Max compared to the IPAQ. Therefore, GPAQ is more recommended to be used to measure PA levels among Indonesian young adults compared to IPAQ.


Author(s):  
Fadi Fayyad ◽  
Milivoj Dopsaj

Background: Examining students’ levels of physical activity is important because these students will be the future leaders of their communities. Objectives: The aim of this study was to generate primary information and describe the lifestyle behavior patterns considering physical activity prevalence among gender-related Lebanese college students. Methods: The study involved 600 students (346 Men, 254 Women with mean age 23.5 ± 3.96). The participants’ levels of physical activity was examined by utilizing the International Physical Activity Questionnaire (IPAQ). The over-all level of physical activity including the four-lifestyle fields: work, transportation, home and gardening, and leisure-time, was presented as metabolic equivalent-min per week (MET-min/week). Results: Findings indicated 22% of students with high physical activity level, 61% and 17 % with moderate and low levels respectively. Based on activity Intensity, 47% (n= 282) of students were engaged in vigorous activity, while 45.2% (n= 271) were engaged in moderate activity, and 68.3% (n=410) were engaged in walking activities. Average time spent sitting for the whole sample was 6.23 daily hours. The level of weekly total physical activity expressed in metabolic equivalent represented 2970.5 MET/min/week in males and 2719.5 MET/min/week in females. Conclusion: In general, Lebanese universities students were equally active, with trivial supremacy for males. Lebanese university students met the (WHO) recommendations for physical activity (>150 min/week of moderate activity or > 75 min/week of vigorous activity or an equivalent combination of both activities). Physical Activity must be developed by the provision of physical activity classes in the university curriculum and extracurricular activities.


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