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Accelerometer-Assessed Physical Activity in People with Type 2 Diabetes: Accounting for Sleep when Determining Associations with Markers of Health.
Rowlands, Alex V; van Hees, Vincent T; Dawkins, Nathan P; Maylor, Benjamin D; Plekhanova, Tatiana; Henson, Joseph; Edwardson, Charlotte L; Brady, Emer M; Hall, Andrew P; Davies, Melanie J; Yates, Thomas.
Afiliação
  • Rowlands AV; Assessment of Movement Behaviours Group (AMBer), Leicester Lifestyle and Health Research Group, Diabetes Research Centre, University of Leicester, Leicester LE5 4PW, UK.
  • van Hees VT; National Institute for Health Research, Leicester Biomedical Research Centre, Leicester LE3 9QP, UK.
  • Dawkins NP; Accelting, 1363 CH Almere, The Netherlands.
  • Maylor BD; School of Sport and Wellbeing, Leeds Trinity University, Leeds LS18 5HD, UK.
  • Plekhanova T; Assessment of Movement Behaviours Group (AMBer), Leicester Lifestyle and Health Research Group, Diabetes Research Centre, University of Leicester, Leicester LE5 4PW, UK.
  • Henson J; National Institute for Health Research, Leicester Biomedical Research Centre, Leicester LE3 9QP, UK.
  • Edwardson CL; Assessment of Movement Behaviours Group (AMBer), Leicester Lifestyle and Health Research Group, Diabetes Research Centre, University of Leicester, Leicester LE5 4PW, UK.
  • Brady EM; National Institute for Health Research, Leicester Biomedical Research Centre, Leicester LE3 9QP, UK.
  • Hall AP; National Institute for Health Research, Leicester Biomedical Research Centre, Leicester LE3 9QP, UK.
  • Davies MJ; Leicester Lifestyle and Health Research Group, Diabetes Research Centre, University of Leicester, Leicester LE5 4PW, UK.
  • Yates T; Assessment of Movement Behaviours Group (AMBer), Leicester Lifestyle and Health Research Group, Diabetes Research Centre, University of Leicester, Leicester LE5 4PW, UK.
Sensors (Basel) ; 23(12)2023 Jun 07.
Article em En | MEDLINE | ID: mdl-37420551
ABSTRACT
High physical activity levels during wake are beneficial for health, while high movement levels during sleep are detrimental to health. Our aim was to compare the associations of accelerometer-assessed physical activity and sleep disruption with adiposity and fitness using standardized and individualized wake and sleep windows. People (N = 609) with type 2 diabetes wore an accelerometer for up to 8 days. Waist circumference, body fat percentage, Short Physical Performance Battery (SPPB) test score, sit-to-stands, and resting heart rate were assessed. Physical activity was assessed via the average acceleration and intensity distribution (intensity gradient) over standardized (most active 16 continuous hours (M16h)) and individualized wake windows. Sleep disruption was assessed via the average acceleration over standardized (least active 8 continuous hours (L8h)) and individualized sleep windows. Average acceleration and intensity distribution during the wake window were beneficially associated with adiposity and fitness, while average acceleration during the sleep window was detrimentally associated with adiposity and fitness. Point estimates for the associations were slightly stronger for the standardized than for individualized wake/sleep windows. In conclusion, standardized wake and sleep windows may have stronger associations with health due to capturing variations in sleep durations across individuals, while individualized windows represent a purer measure of wake/sleep behaviors.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Diabetes Mellitus Tipo 2 Tipo de estudo: Risk_factors_studies Limite: Humans Idioma: En Revista: Sensors (Basel) Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Reino Unido

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Diabetes Mellitus Tipo 2 Tipo de estudo: Risk_factors_studies Limite: Humans Idioma: En Revista: Sensors (Basel) Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Reino Unido