Preliminary field validity of ActiGraph-based energy expenditure estimation in wheelchair users with spinal cord injury

Keim NL, Blanton CA, Kretsch MJ. America’s obesity epidemic: measuring physical activity to promote an active lifestyle. J Am Dietetic Assoc. 2004;104:1398–409.

Article  Google Scholar 

Ball EJ, O’Connor J, Abbott R, Steinbeck KS, Davies PS, Wishart C, et al. Total energy expenditure, body fatness, and physical activity in children aged 6-9 y. Am J Clin Nutr. 2001;74:524–8.

Article  CAS  PubMed  Google Scholar 

Gorgey AS, Gater DR Jr. Prevalence of obesity after spinal cord injury. Top Spinal Cord Inj Rehabil. 2007;12:1–7.

Article  PubMed  Google Scholar 

Nightingale TE, Williams S, Thompson D, Bilzon JLJ. Energy balance components in persons with paraplegia: daily variation and appropriate measurement duration. Int J Behav Nutr Phys Act. 2017;14:132.

Article  PubMed  PubMed Central  Google Scholar 

Farkas GJ, Sneij A, Gater DR Jr. Energy expenditure following spinal cord injury: a delicate balance. Top Spinal Cord Inj Rehabil. 2021;27:92–9.

Article  PubMed  PubMed Central  Google Scholar 

Dorstyn DS, Chur-Hansen A, Mansell E, Murphy G, Roberts RM, Stewart P, et al. Facilitators and barriers to employment for persons with chronic spinal cord injury or disorder: A qualitative study framed by the person-environment-occupation model. J Spinal Cord Med. 2023;46:246–55.

Article  PubMed  Google Scholar 

Nightingale TE, Rouse PC, Thompson D, Bilzon JLJ. Measurement of physical activity and energy expenditure in wheelchair users: methods, considerations and future directions. Sports Med Open. 2017;3:10.

Article  PubMed  PubMed Central  Google Scholar 

Tsang K. Using Wearable Sensors for Physical Activity Measurement and Promotion in Manual Wheelchair Users [Internet] [Ph.D.]. [United States -- Pennsylvania]: University of Pittsburgh; [cited 2024 Jul 2]. Available from: https://www.proquest.com/docview/2164892371/abstract?parentSessionId=f55PhHJEQNhkU2mFwY8iqHQIVzyzx4TcQYLe7WapQYg%3D&sourcetype=Dissertations%20&%20Theses.

Tanhoffer RA, Tanhoffer AI, Raymond J, Hills AP, Davis GM. Comparison of methods to assess energy expenditure and physical activity in people with spinal cord injury. J Spinal Cord Med. 2012;35:35–45.

Article  PubMed  PubMed Central  Google Scholar 

Schoeller DA. Measurement of energy expenditure in free-living humans by using doubly labeled water. J Nutr. 1988;118:1278–89.

Seale JL, Conway JM, Canary JJ. Seven-day validation of doubly labeled water method using indirect room calorimetry. J Appl Physiol. 1993;74:402–9.

Article  CAS  PubMed  Google Scholar 

Desneves KJ, Panisset MG, Rafferty J, Rodi H, Ward LC, Nunn A, et al. Comparison of estimated energy requirements using predictive equations with total energy expenditure measured by the doubly labelled water method in acute spinal cord injury. Spinal Cord. 2019;57:562–70.

Article  PubMed  Google Scholar 

Tudor-Locke CE, Myers AM. Challenges and opportunities for measuring physical activity in sedentary adults. Sports Med. 2001;31:91–100.

Article  CAS  PubMed  Google Scholar 

Ridgers ND, McNarry MA, Mackintosh KA. Feasibility and effectiveness of using wearable activity trackers in youth: a systematic review. JMIR mHealth uHealth. 2016;4:e6540.

Article  Google Scholar 

Tanhoffer RA, Tanhoffer AI, Raymond J, Johnson NA, Hills AP, Davis GM. Energy expenditure in individuals with spinal cord injury quantified by doubly labeled water and a multi-sensor armband. J Phys Act Health. 2015;12:163–70.

Article  PubMed  Google Scholar 

Shwetar YJ, Veerubhotla AL, Huang Z, Ding D. Comparative validity of energy expenditure prediction algorithms using wearable devices for people with spinal cord injury. Spinal Cord. 2020;58:821–30.

O’Driscoll R, Turicchi J, Hopkins M, Horgan GW, Finlayson G, Stubbs JR. Improving energy expenditure estimates from wearable devices: a machine learning approach. J Sports Sci. 2020;38:1496–505.

Article  PubMed  Google Scholar 

Xu L, Zhang J, Li Z, Liu Y, Jia Z, Han X, et al. Comparison of different prediction models for estimation of walking and running energy expenditure based on a wristwear three-axis accelerometer. Front Physiol. 2023;14:1202737.

Article  PubMed  PubMed Central  Google Scholar 

Nightingale TE, Walhim J-P, Thompson D, Bilzon JL. Predicting physical activity energy expenditure in manual wheelchair users. Med Sci Sports Exerc. 2014;46:1849–58.

Article  PubMed  Google Scholar 

Nightingale TE, Walhin JP, Thompson D, Bilzon JL. Influence of accelerometer type and placement on physical activity energy expenditure prediction in manual wheelchair users. PLoS ONE. 2015;10:e0126086.

Article  PubMed  PubMed Central  Google Scholar 

Learmonth YC, Kinnett-Hopkins D, Rice IM, Dysterheft J, Motl R. Accelerometer output and its association with energy expenditure during manual wheelchair propulsion. Spinal Cord. 2016;54:110–4.

Article  CAS  PubMed  Google Scholar 

García-Massó X, Serra-Añó P, García-Raffi LM, Sánchez-Pérez EA, López-Pascual J, González L-M. Validation of the use of Actigraph GT3X accelerometers to estimate energy expenditure in full time manual wheelchair users with spinal cord injury. Spinal Cord. 2013;51:898–903.

Article  PubMed  Google Scholar 

Shwetar Y, Huang Z, Veerubhotla A, Knezevic S, Hong E, Spungen AM, et al. Predicting physical activity intensity using raw accelerometer signals in manual wheelchair users with spinal cord injury. Spinal Cord. 2022;60:149–56.

Compher C, Frankenfield D, Keim N, Roth-Yousey L, Group EAW. Best practice methods to apply to measurement of resting metabolic rate in adults: a systematic review. J Am Dietetic Assoc. 2006;106:881–903.

Article  Google Scholar 

Breiman L. Random forests. Mach Learn. 2001;45:5–32.

Article  Google Scholar 

Giurgiu M, Timm I, Becker M, Schmidt S, Wunsch K, Nissen R, et al. Quality evaluation of free-living validation studies for the assessment of 24-hour physical behavior in adults via wearables: systematic review. JMIR Mhealth Uhealth. 2022;10:e36377.

Article  PubMed  PubMed Central  Google Scholar 

Nightingale T, Walhin J, Thompson D, Bilzon J. Predicting physical activity energy expenditure in wheelchair users with a multisensor device. BMJ Open Sport Exerc Med. 2015;1:bmjsem-2015-000008.

Article  PubMed  PubMed Central  Google Scholar 

Nightingale TE, Gorgey AS. Predicting basal metabolic rate in men with motor complete spinal cord injury. Med Sci Sports Exerc. 2018;50:1305–12.

Article  PubMed  Google Scholar 

Neishabouri A, Nguyen J, Samuelsson J, Guthrie T, Biggs M, Wyatt J, et al. Quantification of acceleration as activity counts in ActiGraph wearable. Sci Rep. 2022;12:11958.

Buchholz AC, McGillivray CF, Pencharz PB. Differences in resting metabolic rate between paraplegic and able-bodied subjects are explained by differences in body composition. Am J Clin Nutr. 2003;77:371–8.

Article  CAS  PubMed  Google Scholar 

Chun SM, Kim HR, Shin HI. Estimating the Basal metabolic rate from fat free mass in individuals with motor complete spinal cord injury. Spinal Cord. 2017;55:844–7.

Article  CAS  PubMed  Google Scholar 

Ma Y, de Groot S, Hoevenaars D, Achterberg W, Adriaansen J, Weijs PJM, et al. Predicting resting energy expenditure in people with chronic spinal cord injury. Spinal Cord. 2022;60:1100–7.

Article  PubMed  Google Scholar 

Farkas GJ, Gorgey AS, Dolbow DR, Berg AS, Gater DR. Caloric intake relative to total daily energy expenditure using a spinal cord injury-specific correction factor: an analysis by level of injury. Am J Phys Med Rehabil. 2019;98:947–52.

Article  PubMed  PubMed Central  Google Scholar 

Monroe MB, Tataranni PA, Pratley R, Manore MM, Skinner JS, Ravussin E. Lower daily energy expenditure as measured by a respiratory chamber in subjects with spinal cord injury compared with control subjects. Am J Clin Nutr. 1998;68:1223–7.

Article  CAS  PubMed  Google Scholar 

Alfonzo-González G, Doucet E, Alméras N, Bouchard C, Tremblay A. Estimation of daily energy needs with the FAO/WHO/UNU 1985 procedures in adults: comparison to whole-body indirect calorimetry measurements. Eur J Clin Nutr. 2004;58:1125–31.

Article  PubMed  Google Scholar 

Mifflin MD, St Jeor ST, Hill LA, Scott BJ, Daugherty SA, Koh YO. A new predictive equation for resting energy expenditure in healthy individuals. Am J Clin Nutr. 1990;51:241–7.

留言 (0)

沒有登入
gif