Literature DB >> 32682650

Postoperative recovery of accelerometer-based physical activity in older cancer patients.

Leonie T Jonker1, Sharon Hendriks2, Maarten Mh Lahr3, Barbara C van Munster4, Geertruida H de Bock3, Barbara L van Leeuwen2.   

Abstract

INTRODUCTION: Recovery of physical activity is an important functional outcome measure after cancer surgery. However, objective data on physical activity for older cancer patients is scarce. The aims of this study were to quantify perioperative physical activity levels, assess recovery of physical activity three months after surgery, and characterise patients who achieved recovery.
MATERIALS AND METHODS: This observational cohort study analysed physical activity data collected from patients aged >65 who were scheduled for cancer surgery between May 2018 and July 2019. Perioperative daily step count was measured using a Fitbit device. The primary outcome measure was the percentage of patients who returned to (≥90% of) their preoperative (baseline) physical activity levels three months after surgery.
RESULTS: Fifty patients (mean age 73) were recruited, and available Fitbit data was analysed. Median daily step counts at baseline (n = 40), before hospital discharge (n = 40), and three months postoperative (n = 37) were 5,974 (IQR 4,250-7,922), 1,619 (IQR 920-2,839), and 4,674 (IQR 3,047-7,592), respectively. The 15/37 (41%) patients who had reached baseline levels three months after surgery seemed to have more preoperative self-reported physical activity, better anaesthesiologists' physical status classification, and fewer in-hospital complications compared to patients who had not, although the differences were statistically non-significant.
CONCLUSION: Perioperative physical activity was quantified for older cancer patients, and 41% returned to baseline levels within three months. Accelerometer-based physical activity provided a valuable outcome measure for postoperative physical recovery. Future studies using objective physical activity measures are needed to evaluate effects of interventional studies aimed at improving physical activity.
Copyright © 2020 The Authors. Published by Elsevier Ltd.. All rights reserved.

Entities:  

Keywords:  Accelerometer; Aged; Oncology; Physical activity; Postoperative recovery; Surgery

Mesh:

Year:  2020        PMID: 32682650     DOI: 10.1016/j.ejso.2020.06.012

Source DB:  PubMed          Journal:  Eur J Surg Oncol        ISSN: 0748-7983            Impact factor:   4.424


  6 in total

1.  Self-monitoring of Physical Activity After Hospital Discharge in Patients Who Have Undergone Gastrointestinal or Lung Cancer Surgery: Mixed Methods Feasibility Study.

Authors:  Marijke Elizabeth de Leeuwerk; Martine Botjes; Vincent van Vliet; Edwin Geleijn; Vincent de Groot; Erwin van Wegen; Marike van der Schaaf; Jurriaan Tuynman; Chris Dickhoff; Marike van der Leeden
Journal:  JMIR Cancer       Date:  2022-06-24

2.  Predicting Subjective Recovery from Lower Limb Surgery Using Consumer Wearables.

Authors:  Marta Karas; Nikki Marinsek; Jörg Goldhahn; Luca Foschini; Ernesto Ramirez; Ieuan Clay
Journal:  Digit Biomark       Date:  2020-11-26

3.  Post-discharge Telemonitoring of Physical Activity, Vital Signs, and Patient-Reported Symptoms in Older Patients Undergoing Cancer Surgery.

Authors:  Leonie T Jonker; Maarten M H Lahr; Maaike H M Oonk; Geertruida H de Bock; Barbara L van Leeuwen
Journal:  Ann Surg Oncol       Date:  2021-02-27       Impact factor: 5.344

Review 4.  The Impact of Wearable Technologies in Health Research: Scoping Review.

Authors:  Sophie Huhn; Miriam Axt; Hanns-Christian Gunga; Martina Anna Maggioni; Stephen Munga; David Obor; Ali Sié; Valentin Boudo; Aditi Bunker; Rainer Sauerborn; Till Bärnighausen; Sandra Barteit
Journal:  JMIR Mhealth Uhealth       Date:  2022-01-25       Impact factor: 4.773

Review 5.  Wearable devices to monitor recovery after abdominal surgery: scoping review.

Authors:  Cameron I Wells; William Xu; James A Penfold; Celia Keane; Armen A Gharibans; Ian P Bissett; Greg O'Grady
Journal:  BJS Open       Date:  2022-03-08

Review 6.  Patient generated health data and electronic health record integration in oncologic surgery: A call for artificial intelligence and machine learning.

Authors:  Laleh G Melstrom; Andrei S Rodin; Lorenzo A Rossi; Paul Fu; Yuman Fong; Virginia Sun
Journal:  J Surg Oncol       Date:  2020-09-24       Impact factor: 3.454

  6 in total

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