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Comparability of accelerometer signal aggregation metrics across placements and dominant wrist cut points for the assessment of physical activity in adults.
Migueles, Jairo H; Cadenas-Sanchez, Cristina; Rowlands, Alex V; Henriksson, Pontus; Shiroma, Eric J; Acosta, Francisco M; Rodriguez-Ayllon, Maria; Esteban-Cornejo, Irene; Plaza-Florido, Abel; Gil-Cosano, Jose J; Ekelund, Ulf; van Hees, Vincent T; Ortega, Francisco B.
Afiliação
  • Migueles JH; PROFITH "PROmoting FITness and Health through physical activity" Research Group, Sport and Health University Research Institute (iMUDS), Department of Physical Education and Sports, Faculty of Sport Sciences, University of Granada, Ctra. Alfacar s/n, 18011, Granada, Spain. jairohm@ugr.es.
  • Cadenas-Sanchez C; PROFITH "PROmoting FITness and Health through physical activity" Research Group, Sport and Health University Research Institute (iMUDS), Department of Physical Education and Sports, Faculty of Sport Sciences, University of Granada, Ctra. Alfacar s/n, 18011, Granada, Spain.
  • Rowlands AV; Diabetes Research Centre, University of Leicester, Leicester General Hospital, Leicester, UK.
  • Henriksson P; NIHR Leicester Biomedical Research Centre, Leicester, UK.
  • Shiroma EJ; Alliance for Research in Exercise, Nutrition and Activity (ARENA), Sansom Institute for Health Research, Division of Health Sciences, University of South Australia, Adelaide, Australia.
  • Acosta FM; PROFITH "PROmoting FITness and Health through physical activity" Research Group, Sport and Health University Research Institute (iMUDS), Department of Physical Education and Sports, Faculty of Sport Sciences, University of Granada, Ctra. Alfacar s/n, 18011, Granada, Spain.
  • Rodriguez-Ayllon M; Department of Biosciences and Nutrition, Karolinska Institutet, Huddinge, Sweden.
  • Esteban-Cornejo I; Department of Medical and Health Sciences, Linköping University, Linköping, Sweden.
  • Plaza-Florido A; Laboratory of Epidemiology and Population Science, National Institute on Aging, Bethesda, MD, USA.
  • Gil-Cosano JJ; PROFITH "PROmoting FITness and Health through physical activity" Research Group, Sport and Health University Research Institute (iMUDS), Department of Physical Education and Sports, Faculty of Sport Sciences, University of Granada, Ctra. Alfacar s/n, 18011, Granada, Spain.
  • Ekelund U; PROFITH "PROmoting FITness and Health through physical activity" Research Group, Sport and Health University Research Institute (iMUDS), Department of Physical Education and Sports, Faculty of Sport Sciences, University of Granada, Ctra. Alfacar s/n, 18011, Granada, Spain.
  • van Hees VT; PROFITH "PROmoting FITness and Health through physical activity" Research Group, Sport and Health University Research Institute (iMUDS), Department of Physical Education and Sports, Faculty of Sport Sciences, University of Granada, Ctra. Alfacar s/n, 18011, Granada, Spain.
  • Ortega FB; Center for Cognitive and Brain Health, Department of Psychology, Northeastern University, Boston, MA, USA.
Sci Rep ; 9(1): 18235, 2019 12 03.
Article em En | MEDLINE | ID: mdl-31796778
ABSTRACT
Large epidemiological studies that use accelerometers for physical behavior and sleep assessment differ in the location of the accelerometer attachment and the signal aggregation metric chosen. This study aimed to assess the comparability of acceleration metrics between commonly-used body-attachment locations for 24 hours, waking and sleeping hours, and to test comparability of PA cut points between dominant and non-dominant wrist. Forty-five young adults (23 women, 18-41 years) were included and GT3X + accelerometers (ActiGraph, Pensacola, FL, USA) were placed on their right hip, dominant, and non-dominant wrist for 7 days. We derived Euclidean Norm Minus One g (ENMO), Low-pass filtered ENMO (LFENMO), Mean Amplitude Deviation (MAD) and ActiGraph activity counts over 5-second epochs from the raw accelerations. Metric values were compared using a correlation analysis, and by plotting the differences by time of the day. Cut points for the dominant wrist were derived using Lin's concordance correlation coefficient optimization in a grid of possible thresholds, using the non-dominant wrist estimates as reference. They were cross-validated in a separate sample (N = 36, 10 women, 22-30 years). Shared variances between pairs of acceleration metrics varied across sites and metric pairs (range in r2 0.19-0.97, all p < 0.01), suggesting that some sites and metrics are associated, and others are not. We observed higher metric values in dominant vs. non-dominant wrist, thus, we developed cut points for dominant wrist based on ENMO to classify sedentary time (<50 mg), light PA (50-110 mg), moderate PA (110-440 mg) and vigorous PA (≥440 mg). Our findings suggest differences between dominant and non-dominant wrist, and we proposed new cut points to attenuate these differences. ENMO and LFENMO were the most similar metrics, and they showed good comparability with MAD. However, counts were not comparable with ENMO, LFENMO and MAD.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Exercício Físico / Acelerometria Limite: Adolescent / Adult / Female / Humans / Male Idioma: En Revista: Sci Rep Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Espanha

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Exercício Físico / Acelerometria Limite: Adolescent / Adult / Female / Humans / Male Idioma: En Revista: Sci Rep Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Espanha