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Jairo H. Migueles, Alex V. Rowlands, Florian Huber, Séverine Sabia and Vincent T. van Hees

:// ), is designed for the accelerometer hardware developed by the same company. GENEAclassify is an open source R package primarily aimed at facilitating the segmentation and classification of accelerometer data produced by the GENEAactiv accelerometer ( Campbell, Gott, Langford, & Sweetland, 2018 ). OMGUI

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Mohammad Siahpush, Trish D. Levan, Minh N. Nguyen, Brandon L. Grimm, Athena K. Ramos, Tzeyu L. Michaud and Patrik L. Johansson

cardiovascular diseases, all cancers combined, and respiratory diseases. The causes of death were coded according to the 10th revision of International Classification of Diseases (ICD-10). 22 The International Classification of Diseases codes for the disease-specific study outcomes are as follows

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Baruch Vainshelboim, Zhongming Chen, Ricardo M. Lima and Jonathan Myers

who were otherwise blinded to treadmill test results and other study information. Cancer diagnosis was verified using pathology reports and the International Classification of Diseases ninth and tenth edition codes. Cancer diagnosis and vital status for each patient were ascertained as of August 2015

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Patty Freedson

sedentary time ( Rowlands et al., 2014 ). The challenge is to make these approaches as accessible to researchers as cut-point approaches, thus facilitating more accurate classification of time spent in sedentary behaviors in large-scale surveys. The authors have generated a valuable dataset that is

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Manuel Trinidad-Fernández, Manuel González-Sánchez and Antonio I. Cuesta-Vargas

determine the reliability of the 8 measures. ICC classification: good, .61 to .80; excellent, .81 to 1.00. 8 Descriptive anthropometric variables of the sample were calculated. The mean of the results was shown with the SEM. All data were analyzed using SPSS (version 15; Armonk, NY), where P  < .05 was

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Ian M. Greenlund, Piersan E. Suriano, Steven J. Elmer, Jason R. Carter and John J. Durocher

medications, and were free of signs of CVD such as hypertension, stroke, and diabetes. Demographic data between seated and standing classifications are presented in Table  1 . All women were not pregnant and reported their menstrual cycle status/phase during the final testing session in an effort to have

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) and fixed LT at 4 mmol/l (LT4) were obtained. All runners participated subsequently in an official 31.1km trail running race (positive/negative elevation 515m/710m; XS classification according to ITRA). Correlation analysis was performed to predict the value of the race results. Statistical

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Victoria Fauntroy, Marcie Fyock, Jena Hansen-Honeycutt, Esther Nolton and Jatin P. Ambegaonkar

 h of didactic SFMA training) provided demonstration of each movement prior to completion of task. Evaluators’ composite results compared within and between raters using absolute agreement and kappa coefficient based on categorical classification of each movement. Outcome measure(s) Primary outcomes

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Janie L. Kelly and Alison R. Valier

to help answer the question. Studies were selected based on the classification of level of evidence 3 or better, focus on the use of orthotics, insoles, or SAIs to prevent LLOIs, and inclusion of a physically active adult population. Table 2 Characteristics of Included Studies Characteristic Franklyn

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Flávia Cavalcante Monteiro Melo, Kátia Kamila Félix de Lima, Ana Paula Knackfuss Freitas Silveira, Kesley Pablo Morais de Azevedo, Isis Kelly dos Santos, Humberto Jefferson de Medeiros, José Carlos Leitão and Maria Irany Knackfuss

& Black (1998) checklist. It was applied independently by 2 revisers (M.I.K. and F.C.M.M.), and when there was divergence in the classification of the articles, a third reviser (I.K.S.) was consulted. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses checklist was used, following