scholarly journals Reliability and validity of a new accelerometer-based device for detecting physical activities and energy expenditure

PeerJ ◽  
2018 ◽  
Vol 6 ◽  
pp. e5775 ◽  
Author(s):  
Yanxiang Yang ◽  
Moritz Schumann ◽  
Shenglong Le ◽  
Shulin Cheng

Background Objective assessments of sedentary behavior and physical activity (PA) by using accelerometer-based wearable devices are ever expanding, given their importance in the global context of health maintenance. This study aimed to determine the reliability and validity of a new accelerometer-based analyzer (Fibion) for detecting different PAs and estimating energy expenditure (EE) during a simulated free-living day. Methods The study consisted of two parts: a reliability (n = 18) and a validity (n = 19) test. Reliability was assessed by a 45 min protocol of repeated sitting, standing, and walking (i.e., 3 × 15 min, repeated twice), using both Fibion and ActiGraph. Validity was assessed by a 12 h continuous sequence tasks of different types (sitting, standing, walking, and cycling) and intensities (light [LPA], moderate [MPA], and vigorous [VPA]) of PA. Two Fibion devices were worn on the thigh (FT) and in the pocket (FP), respectively and were compared with criteria measures, such as direct observation (criterion 1) and oxygen consumption by a portable gas analyzer, K4b2 (criterion 2). Results FT (intra-class correlation coefficients (ICCs): 0.687–0.806) provided similar reliability as the Actigraph (ICCs: 0.661–0.806) for EE estimation. However, the measurement error (ME) of FT compared to the actual time records indicated an underestimation of duration by 5.1 ± 1.2%, 3.8 ± 0.3% and 14.9 ± 2.6% during sitting, walking, and standing, respectively. During the validity test, FT but not FP showed a moderate agreement but lager variance with the criteria (1 and 2) in assessing duration of sitting, long sitting, LPA, MPA, and VPA (p > 0.05, ICCs: 0.071–0.537), as well as for EE estimation of standing, LPA, MPA, and VPA (p > 0.05, ICCs: 0.673–0.894). Conclusions FT provided similar reliability to that of the Actigraph. However, low correlations between subsequent measurements of both devices indicated large random MEs, which were somewhat diminished during the simulated 12 h real-life test. Furthermore, FT may accurately determine the types, intensities of PA and EE during prolonged periods with substantial changes in postures, indicating that the location of the accelerometer is essential. Further study with a large cohort is needed to confirm the usability of Fibion, especially for detecting the low-intensity PAs.

2018 ◽  
Vol 1 (4) ◽  
Author(s):  
Yanxiang Yang ◽  
Schumann Moritz ◽  
Shenglong Le ◽  
Ziyuan Chen ◽  
Shulin Cheng

Objective Objective assessments of sedentary behavior, physical activity (PA) and the associated energy expenditure (EE) using accelerometer-based wearable devices are ever expanding, given their importance in the global context of health maintenance. However, among these numerous devices, the different underlying algorithms and available output parameters make it difficult to determine their accuracy. Furthermore, the function and accuracy of those devices may significantly differ between the different wearing locations (i.e., wrist-worn, waist-worn or thigh-based), where the center of the body (hip or thigh) is the optimal recommendation. Thus, a thigh-based device that has the possibility to differentiate between sedentary behavior, PAs, and EE is required to optimize research in PA. This study aimed to determine the reliability and validity of a new accelerometer-based analyzer (Fibion) with two-fold: First, to assess the reliability of the Fibion as compared to a designed repeated protocol and ActiGraph GT9X (one of the most widely used devices with favorable validity and reliability) in a laboratory re-test protocol; Second, to determine the validity of the Fibion in differentiating PAs and estimating EE throughout a simulated 12-hour free-living day. Methods Fibion (Fibion Inc, Jyväskylä, Finland) is a new 3-axial lightweight (20g, L•W•T = 30•32•10mm) accelerometer-based device, which was designed to follow the orientation and movement of the thigh. Thus, it can be worn either on the thigh (FT) or in the front pocket of the trousers (FP). According to information provided by the manufacturer, it is able to detect no-wear time and differentiates between different types (sitting, long sitting, standing, walking, and cycling) and intensities (LPA, MVPA, and VPA) of PA and the associated EE through the use of proprietary algorithms. The study consisted of two parts: a reliability (n=18) and validity (n=19) test, respectively. All 37 participants were young and healthy volunteers, who were normal weight (i.e., BMI < 25 kg/m2) and recreationally physically active. Exclusion criteria included acute and chronic diseases, which would prevent participants from prolonged sitting and/or standing or would interfere with the basic metabolic rate. All participants were informed about the study procedures and provided written informed consent prior to commencing with testing. The study was carried out in accordance with the Declaration of Helsinki and the local Ethical Committee (ML16027). Reliability was assessed by a designed 15-min protocol by repeating sitting, standing, and walking (a total of 90 min = 15 min *3 types * 2 repeats) using both Fibion (FT) and ActiGraph. Validity was assessed by a prolonged 12-h protocol which was designed as simulated free-living conditions with two criteria. Criterion 1: Direct observation of the 12-h continuous sequence of tasks with measurement logs, to determine the duration of different types (sitting, standing, walking, and cycling) and intensities (light [LPA], moderate-to-vigorous [MVPA], and vigorous [VPA])) of PA. Indirect calorimetry served as the criterion 2 for EE estimation. Pulmonary gas exchange of the participants was continuously measured throughout the 12-h guided sequence of tasks by a portable breath-by-breath gas analyzer (Cosmed K4b2, Rome, Italy). During the entire 12-h protocol, two Fibion devices (worn both on the thigh (FT) and in the pocket (FP), respectively) and K4b2 were used simultaneously.  Results Reliability. Fibion located on the thigh (FT) (ICCs: 0.687-0.806) provided similar reliability for EE estimation as the Actigraph (ICCs: 0.661-0.806). However, the measurement error for FT indicated an underestimation of activity times by 5.1 ± 1.2%, 3.8 ± 0.3% and 14.9 ± 2.6% during sitting, walking, and standing, respectively. Furthermore, low correlations were observed between subsequent measurements with both devices (ICCs 0.189-0.459), especially in low intensities (sitting). Validity. During the prolonged 12-h simulated real-life conditions, FT but not FP showed a moderate agreement with the direct observation in assessing the duration of sitting, long sitting, LPA, MVPA, and VPA (p>0.05, ICCs: 0.071-0.537), but the low correlations between Fibion and the criteria (ICCs FT: 0.016-0.638; FP: -0.046 to 0.650) indicate that the measurement error is random. Similarly, FT but not FP showed a moderate agreement with the K4b2 for EE estimation of standing, LPA, MVPA, and VPA (p>0.05, ICCs: 0.673-0.894).  Conclusions In summary, the location of the accelerometer is essential for accurately assessing PA and EE. FT appeared to detect sitting and walking with a small measurement error, similar to that of the Actigraph. Considering the random error observed in our study, further studies with larger populations are needed to confirm the practical usability of Fibion (FT) for estimating different types and intensities of PA.


Author(s):  
Khalil Taherzadeh Chenani ◽  
Farzan Madadizadeh

Introduction: Reliability is an integral part of measuring the reproducibility of research information. Intra-cluster correlation coefficient (ICC) is one of the necessary indicators for reliability reporting, which can be misleading in terms of its diversity. The main purpose of this study was to introduce the types of reliability and appropriate ICC indices.  Methods: In this tutorial article, useful information about the types of reliability and indicators needed to report the results, as well as the types of ICC and its applications were explained for dummies. Results: Three general types of reliability include inter-rater reliability, test-retest reliability, and intra-rater reliability was presented. 10 different types of ICC were also introduced and explained. Conclusion: The research results may be misleading if any of the reliability types and calculation criteria types are chosen incorrectly. Therefore, to make the results of the study more accurate and valuable. Medical researchers must seek help from relevant guidelines such as this study before conducting reliability analysis.  


2019 ◽  
Vol 67 (1) ◽  
pp. 223-233 ◽  
Author(s):  
Konstantinos Papanikolaou ◽  
Athanasios Chatzinikolaou ◽  
Theodoros Pontidis ◽  
Alexandra Avloniti ◽  
Chariklia K. Deli ◽  
...  

AbstractThe purpose of this study was to evaluate the reliability and reproducibility of the physiological and overload features of the Yo-Yo intermittent endurance test level 2 (Yo-Yo IE2) in competitive male soccer (n = 20), basketball (n = 11), and volleyball players (n = 10). The participants completed Yo-Yo IE2 tests on three separate occasions with assessment of performance, heart rate, running speed, accelerations, decelerations and body load using GPS instrumentation. The intra-class correlation coefficient index, confidence intervals and coefficients of variation were calculated to assess the reliability of the test. Intra-class correlation coefficients for test-retest trials in the total sample ranged from large to nearly perfect (total distance: 0.896; mean speed: 0.535; maximum speed: 0.715; mean HR: 0.876; maximum HR: 0.866; body load: 0.865). The coefficients of variation for distance, mean speed, HR response, as well as acceleration and deceleration scores for test-retest trials ranged from 1.2 to 12.5% with no differences observed among particular sport disciplines. The CV for shuttles performed ranged from 4.4 to 5.5% in all sports. Similar results were obtained for the three different categories of players tested. These results suggest that the Yo-Yo IE2 test appears to be a reliable alternative for evaluating the ability to perform intermittent high-intensity running in different outdoor and indoor team sports. Players may need one or two familiarization tests to ensure valid assessment of intermittent endurance capacity. It appears that the Yo-Yo IE2 test incorporates accelerations and decelerations in a consistent and reproducible fashion.


Sensors ◽  
2020 ◽  
Vol 20 (12) ◽  
pp. 3412
Author(s):  
Marcus Brookshaw ◽  
Andrew Sexton ◽  
Chris A. McGibbon

Muscle strength is an important clinical outcome in rehabilitation and sport medicine, but options are limited to expensive but accurate isokinetic dynamometry (IKD) or inexpensive but less accurate hand-held dynamometers (HHD). A wearable, self-stabilizing, limb strength measurement device (LSMD) was developed to fill the current gap in portable strength measurement devices. The purpose of this study was to evaluate the reliability and validity of the LSMD in healthy adults. Twenty healthy adults were recruited to attend two strength testing sessions where elbow flexor and extensor strength was measured with the LSMD, with HHD and with IKD in random order, by two raters. Outcomes were intra-rater repeatability, inter-rater reproducibility and inter-session reproducibility using intra-class correlation coefficients (ICC). Limits of agreement and weighted least products regression were used to test the validity of the LSMD relative to the criterion standard (IKD), and calibration formulas derived to improve measurement fidelity. ICC values for the LSMD were >0.90 for all measures of reliability and for both muscle groups, but over-predicted extensor strength and under-predicted flexor strength. Validity was established by transforming the data with the criterion standard-based calibration. These data indicate that the LSMD is reliable and conditionally valid for quantifying strength of elbow flexors and extensors in a healthy adult population.


2005 ◽  
Vol 8 (7a) ◽  
pp. 1123-1132 ◽  
Author(s):  
James A Levine

AbstractMeasurement of energy expenditure in humans is required to assess metabolic needs, fuel utilisation, and the relative thermic effect of different food, drink, drug and emotional components. Indirect and direct calorimetric and non-calorimetric methods for measuring energy expenditure are reviewed, and their relative value for measurement in the laboratory and field settings is assessed. Where high accuracy is required and sufficient resources are available, an open-circuit indirect calorimeter can be used. Open-circuit indirect calorimeters can employ a mask, hood, canopy or room/chamber for collection of expired air. For short-term measurements, mask, hood or canopy systems suffice. Chamber-based systems are more accurate for the long-term measurement of specified activity patterns but behaviour constraints mean they do not reflect real life. Where resources are limited and/or optimum precision can be sacrificed, flexible total collection systems and non-calorimetric methods are potentially useful if the limitations of these methods are appreciated. The use of the stable isotope technique, doubly labelled water, enables total daily energy expenditure to be measured accurately in free-living subjects. The factorial method for combining activity logs and data on the energy costs of activities can also provide detailed information on free-living subjects.


2020 ◽  
Vol 43 (4) ◽  
pp. 235-254
Author(s):  
Angela Patricia Bacelis-Rivero ◽  
Anabel Vázquez-Rodríguez ◽  
Claudia E. Carrasco-Legleu ◽  
Lidia G. De León ◽  
Sandra Alicia Reza-López

Physical activity (PA) is a component of total energy expenditure. PA and PA energy expenditure (PAEE) can be estimated by objective techniques (OTs). However, the use of questionnaires is frequent in clinical settings and epidemiological studies. We conducted a search on PubMed, Scopus, and Google Scholar databases to perform a review of studies reporting the reliability and validity of PA questionnaires validated against OTs—doubly labeled water (DLW) or accelerometers—in free-living adults. We selected original articles published between 2009 and 2019 that reported validation studies of PA questionnaires. We identified 53 studies that fulfilled the eligibility criteria. Four PA questionnaires were validated against DLW and the remaining against accelerometers. Three questionnaires were compared with both DLW and accelerometer results. The correlation between questionnaire-estimated PAEE and DLW results ranged from r = .22 to r = .46, while that between questionnaire-estimated total PA (TPA) and accelerometer results ranged from r = .11 to r = .54 The intraclass correlation coefficients were between .56 and .84. Despite having good reliability, most of the questionnaires included in this review have shown limited validity for estimating TPA in adults. OTs should be considered as a first option, when possible. Further research is warranted on techniques to obtain more accurate PA and PAEE estimates.


Author(s):  
Shohei Yano ◽  
Mohammad Javad Koohsari ◽  
Ai Shibata ◽  
Kaori Ishii ◽  
Levi Frehlich ◽  
...  

Background. Comparability of accelerometers in epidemiological studies is important for public health researchers. This study aimed to compare physical activity (light, LPA; moderate, MPA; and moderate-to-vigorous, MVPA) and sedentary behavior (SB) data collected using two Omron triaxial accelerometer generations (Active style Pro, ASP) among a sample of Japanese workers in a free-living environment. Methods. Thirty active and sedentary workers (24–62 years) wore two types of ASP accelerometers, the HJA-350IT (350IT) and the HJA-750C (750C), simultaneously for seven consecutive days to represent a typical week. The accelerometers estimated daily average step counts and time spent per day in LPA, MPA, and MVPA. If a participant had data for ≥4 days (>10 h/day) it was considered valid. The difference and agreement between the two ASPs were analyzed using a paired t-test, intra-class correlation coefficients (ICC), and a Bland–Altman analysis in total and for each type of worker. Results. Among all workers, the 750C measured significantly (p < 0.05) less SB, MPA, MVPA, and more LPA compared with the 350IT. The agreements in ICC were high (ICC ≥ 0.94). Conclusions. Compared with the 350IT, the newer generation 750C ASP accelerometer may not provide equivalent estimates of activity time, regardless of the type of physical activity.


Author(s):  
Jesús Requena García ◽  
Evelyn García Nieto ◽  
David Varillas Delgado

Background and Objectives: The techniques directed to the cranial field in osteopathy are the most questioned due to the lack of scientific evidence. In osteopathic practice, manual palpation is essential and, therefore, measuring reliability is fundamental. The objective of study is to assess the reliability and validity of osteopathic treatment depending on experience. Materials and Methods: A cross-sectional study of reliability and validity was conducted. For measurements, a strain gauge was placed on the sphenobasilar synchondrosis of the skull base, and three maneuvers (lateral compression, anteroposterior compression and compression maneuver of the mastoids) were repeated 25 times each by osteopaths with different time of experience (5-10 years, 1-5 years, &lt;1 year). Measurement averages were computed for each of the three maneuvers to verify the average effect of each group in comparison to that of the Gold Standard (GS) (&gt;10 years of experience). Data were analyzed to check for inter- and intra-observer reliability using intra-class correlation coefficients (ICC). Results: Reliability and validity in 5-10 experience of observer 1 and observer 2 in the tree maneuvers was excellent (p&lt;0.001) against GS. Poor or enough reproducibility and concordance were observed in osteopaths with less experience. Conclusion: Experience of osteopaths determines the efficacy of cranial maneuvers in osteopathic treatment for patients&rsquo; rehabilitation.


10.2196/13938 ◽  
2019 ◽  
Vol 7 (8) ◽  
pp. e13938 ◽  
Author(s):  
Haruka Murakami ◽  
Ryoko Kawakami ◽  
Satoshi Nakae ◽  
Yosuke Yamada ◽  
Yoshio Nakata ◽  
...  

Background Self-monitoring using certain types of pedometers and accelerometers has been reported to be effective for promoting and maintaining physical activity (PA). However, the validity of estimating the level of PA or PA energy expenditure (PAEE) for general consumers using wearable devices has not been sufficiently established. Objective We examined the validity of 12 wearable devices for determining PAEE during 1 standardized day in a metabolic chamber and 15 free-living days using the doubly labeled water (DLW) method. Methods A total of 19 healthy adults aged 21 to 50 years (9 men and 10 women) participated in this study. They followed a standardized PA protocol in a metabolic chamber for an entire day while simultaneously wearing 12 wearable devices: 5 devices on the waist, 5 on the wrist, and 2 placed in the pocket. In addition, they spent their daily lives wearing 12 wearable devices under free-living conditions while being subjected to the DLW method for 15 days. The PAEE criterion was calculated by subtracting the basal metabolic rate measured by the metabolic chamber and 0.1×total energy expenditure (TEE) from TEE. The TEE was obtained by the metabolic chamber and DLW methods. The PAEE values of wearable devices were also extracted or calculated from each mobile phone app or website. The Dunnett test and Pearson and Spearman correlation coefficients were used to examine the variables estimated by wearable devices. Results On the standardized day, the PAEE estimated using the metabolic chamber (PAEEcha) was 528.8±149.4 kcal/day. The PAEEs of all devices except the TANITA AM-160 (513.8±135.0 kcal/day; P>.05), SUZUKEN Lifecorder EX (519.3±89.3 kcal/day; P>.05), and Panasonic Actimarker (545.9±141.7 kcal/day; P>.05) were significantly different from the PAEEcha. None of the devices was correlated with PAEEcha according to both Pearson (r=−.13 to .37) and Spearman (ρ=−.25 to .46) correlation tests. During the 15 free-living days, the PAEE estimated by DLW (PAEEdlw) was 728.0±162.7 kcal/day. PAEE values of all devices except the Omron Active style Pro (716.2±159.0 kcal/day; P>.05) and Omron CaloriScan (707.5±172.7 kcal/day; P>.05) were significantly underestimated. Only 2 devices, the Omron Active style Pro (r=.46; P=.045) and Panasonic Actimarker (r=.48; P=.04), had significant positive correlations with PAEEdlw according to Pearson tests. In addition, 3 devices, the TANITA AM-160 (ρ=.50; P=.03), Omron CaloriScan (ρ=.48; P=.04), and Omron Active style Pro (ρ=.48; P=.04), could be ranked in PAEEdlw. Conclusions Most wearable devices do not provide comparable PAEE estimates when using gold standard methods during 1 standardized day or 15 free-living days. Continuous development and evaluations of these wearable devices are needed for better estimations of PAEE.


2011 ◽  
Vol 11 (3) ◽  
pp. 301-312 ◽  
Author(s):  
José Cazuza de Farias Júnior ◽  
Adair da Silva Lopes ◽  
Rodrigo Siqueira Reis ◽  
Juarez Vieira do Nascimento ◽  
Adriano Ferreti Borgatto ◽  
...  

OBJECTIVES: to develop a questionnaire to measure factors associated with physical activity (PA) in adolescents and analyze its reliability and validity. METHODS: a total of 248 adolescents from 14 to 19 years old took part in this study. The factors associated with PA measured were: attitude, self-efficacy, social support of PA and perceived environment. Cronbach's alpha (α) and intraclass correlation coefficients (ICC) were used to test reliability, and exploratory factor analysis to evaluate validity. RESULTS: attitude was measured as a single factor (attitude: α=0.76, ICC=0.89); self-efficacy consisted of two factors: resources for PA (α=0.76, ICC=0.75) and social support and motives for engaging in PA (α=0.76, ICC=0.67); social support was measured as two factors: support for PA from friends (α=0.90, ICC=0.89) and support for PA from parents (α= 0.81, ICC=0.91); and the environment was measured as three factors: access to and attractiveness of places to engage in PA (α=0.69, ICC=0.82), security/safety when engaging in PA (α=0.73, ICC=0.67), and general infrastructure of the neighborhood (α=0.70, ICC=0.75). CONCLUSIONS: the questionnaire exhibited satisfactory validity and reliability and can be recommended for studies investigating adolescents.


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