Your browser doesn't support javascript.
loading
Association Between Patient Factors and the Effectiveness of Wearable Trackers at Increasing the Number of Steps per Day Among Adults With Cardiometabolic Conditions: Meta-analysis of Individual Patient Data From Randomized Controlled Trials.
Hodkinson, Alexander; Kontopantelis, Evangelos; Zghebi, Salwa S; Grigoroglou, Christos; McMillan, Brian; Marwijk, Harm van; Bower, Peter; Tsimpida, Dialechti; Emery, Charles F; Burge, Mark R; Esmiol, Hunter; Cupples, Margaret E; Tully, Mark A; Dasgupta, Kaberi; Daskalopoulou, Stella S; Cooke, Alexandra B; Fayehun, Ayorinde F; Houle, Julie; Poirier, Paul; Yates, Thomas; Henson, Joseph; Anderson, Derek R; Grey, Elisabeth B; Panagioti, Maria.
Afiliação
  • Hodkinson A; Division of Population Health, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, United Kingdom.
  • Kontopantelis E; Health Services Research and Primary Care, National Institute for Health Research School for Primary Care Research, Manchester, United Kingdom.
  • Zghebi SS; Division of Population Health, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, United Kingdom.
  • Grigoroglou C; Health Services Research and Primary Care, National Institute for Health Research School for Primary Care Research, Manchester, United Kingdom.
  • McMillan B; Division of Informatics, Imaging & Data Sciences, Faculty of Biology, Medicine & Health, University of Manchester, Manchester, United Kingdom.
  • Marwijk HV; Division of Population Health, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, United Kingdom.
  • Bower P; Health Services Research and Primary Care, National Institute for Health Research School for Primary Care Research, Manchester, United Kingdom.
  • Tsimpida D; Division of Population Health, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, United Kingdom.
  • Emery CF; Health Services Research and Primary Care, National Institute for Health Research School for Primary Care Research, Manchester, United Kingdom.
  • Burge MR; Division of Population Health, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, United Kingdom.
  • Esmiol H; Health Services Research and Primary Care, National Institute for Health Research School for Primary Care Research, Manchester, United Kingdom.
  • Cupples ME; Department of Primary Care and Public Health, Brighton and Sussex Medical School, University of Brighton, Brighton, United Kingdom.
  • Tully MA; Division of Population Health, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, United Kingdom.
  • Dasgupta K; Health Services Research and Primary Care, National Institute for Health Research School for Primary Care Research, Manchester, United Kingdom.
  • Daskalopoulou SS; Division of Population Health, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, United Kingdom.
  • Cooke AB; Health Services Research and Primary Care, National Institute for Health Research School for Primary Care Research, Manchester, United Kingdom.
  • Fayehun AF; Department of Psychology, The Ohio State University College of Arts and Sciences, Columbus, OH, United States.
  • Houle J; Department of Medicine, Endocrinology and Metabolism, University of New Mexico Health Sciences Center, Albuquerque, NM, United States.
  • Poirier P; Department of Medicine, Endocrinology and Metabolism, University of New Mexico Health Sciences Center, Albuquerque, NM, United States.
  • Yates T; Department of General Practice and Primary Care, Centre for Public Heath, Queen's University Belfast, Belfast, United Kingdom.
  • Henson J; School of Medicine, Ulster University, Londonderry, United Kingdom.
  • Anderson DR; Department of Medicine, McGill University, Montreal, QC, Canada.
  • Grey EB; Centre for Outcomes Research and Evaluation, Research Institute of the McGill University Health Centre, Montreal, QC, Canada.
  • Panagioti M; Department of Medicine, McGill University, Montreal, QC, Canada.
J Med Internet Res ; 24(8): e36337, 2022 08 30.
Article em En | MEDLINE | ID: mdl-36040779
BACKGROUND: Current evidence supports the use of wearable trackers by people with cardiometabolic conditions. However, as the health benefits are small and confounded by heterogeneity, there remains uncertainty as to which patient groups are most helped by wearable trackers. OBJECTIVE: This study examined the effects of wearable trackers in patients with cardiometabolic conditions to identify subgroups of patients who most benefited and to understand interventional differences. METHODS: We obtained individual participant data from randomized controlled trials of wearable trackers that were conducted before December 2020 and measured steps per day as the primary outcome in participants with cardiometabolic conditions including diabetes, overweight or obesity, and cardiovascular disease. We used statistical models to account for clustering of participants within trials and heterogeneity across trials to estimate mean differences with the 95% CI. RESULTS: Individual participant data were obtained from 9 of 25 eligible randomized controlled trials, which included 1481 of 3178 (47%) total participants. The wearable trackers revealed that over the median duration of 12 weeks, steps per day increased by 1656 (95% CI 918-2395), a significant change. Greater increases in steps per day from interventions using wearable trackers were observed in men (interaction coefficient -668, 95% CI -1157 to -180), patients in age categories over 50 years (50-59 years: interaction coefficient 1175, 95% CI 377-1973; 60-69 years: interaction coefficient 981, 95% CI 222-1740; 70-90 years: interaction coefficient 1060, 95% CI 200-1920), White patients (interaction coefficient 995, 95% CI 360-1631), and patients with fewer comorbidities (interaction coefficient -517, 95% CI -1188 to -11) compared to women, those aged below 50, non-White patients, and patients with multimorbidity. In terms of interventional differences, only face-to-face delivery of the tracker impacted the effectiveness of the interventions by increasing steps per day. CONCLUSIONS: In patients with cardiometabolic conditions, interventions using wearable trackers to improve steps per day mostly benefited older White men without multimorbidity. TRIAL REGISTRATION: PROSPERO CRD42019143012; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=143012.
Assuntos
Palavras-chave

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Doenças Cardiovasculares / Dispositivos Eletrônicos Vestíveis Tipo de estudo: Clinical_trials / Prognostic_studies / Risk_factors_studies / Systematic_reviews Limite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Revista: J Med Internet Res Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Reino Unido

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Doenças Cardiovasculares / Dispositivos Eletrônicos Vestíveis Tipo de estudo: Clinical_trials / Prognostic_studies / Risk_factors_studies / Systematic_reviews Limite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Revista: J Med Internet Res Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Reino Unido