Do physical activity interventions combining self-monitoring with other components provide an additional benefit compared with self-monitoring alone? A systematic …

T Vetrovsky, A Borowiec, R Juřík, C Wahlich… - British Journal of …, 2022 - bjsm.bmj.com
Objective To determine the net effect of different physical activity intervention components on
step counts in addition to self-monitoring. Design A systematic review with meta-analysis …

[HTML][HTML] A systematic review of nudge theories and strategies used to influence adult health behaviour and outcome in diabetes management

YH Kwan, TY Cheng, S Yoon, LYC Ho, CW Huang… - Diabetes & …, 2020 - Elsevier
Background Diabetes is a chronic disease associated with a variety of complications, and
nudging may be a potential solution to improve diabetes control. Since nudging is a new …

mHealth app using machine learning to increase physical activity in diabetes and depression: clinical trial protocol for the DIAMANTE Study

A Aguilera, CA Figueroa, R Hernandez-Ramos… - BMJ open, 2020 - bmjopen.bmj.com
Introduction Depression and diabetes are highly disabling diseases with a high prevalence
and high rate of comorbidity, particularly in low-income ethnic minority patients. Though …

[HTML][HTML] Use of Fitbit devices in physical activity intervention studies across the life course: narrative review

RG St Fleur, SM St George, R Leite… - JMIR mHealth and …, 2021 - mhealth.jmir.org
Background: Commercial off-the-shelf activity trackers (eg, Fitbit) allow users to self-monitor
their daily physical activity (PA), including the number of steps, type of PA, amount of sleep …

Health wearable devices for weight and BMI reduction in individuals with overweight/obesity and chronic comorbidities: systematic review and network meta-analysis

DJ McDonough, X Su, Z Gao - British journal of sports medicine, 2021 - bjsm.bmj.com
Objective To analyse the comparative effectiveness of different health wearable-based
physical activity (PA) promotion intervention strategies against each other and control for …

The use of wearable devices in chronic disease management to enhance adherence and improve telehealth outcomes: a systematic review and meta-analysis

T Kamei, T Kanamori, Y Yamamoto… - … of telemedicine and …, 2022 - journals.sagepub.com
Introduction Wearable device (WD) interventions are rapidly growing in chronic disease
management; nevertheless, the effectiveness of these technologies to monitor telehealth …

Feasible but not yet efficacious: a scoping review of wearable activity monitors in interventions targeting physical activity, sedentary behavior, and sleep

MI Cajita, CE Kline, LE Burke, EG Bigini… - Current epidemiology …, 2020 - Springer
Abstract Purpose of Review This review explored the characteristics of interventions that use
wearable activity monitors (WAM) and descriptively summarize their efficacy. Recent …

Goal setting and health-related outcomes in chronic diseases: a systematic review and meta-analysis of the literature from 2000 to 2020

Z Tabaei-Aghdaei… - … Care Research and …, 2023 - journals.sagepub.com
Identifying and synthesizing recent empirical research on goal setting among adults with
chronic disease is the focus of this article. The article has two phases: Phase 1, a thematic …

A psycholgical intervention delivered by automated mobile phone messaging stabilized hip and knee function during the COVID-19 pandemic: a randomized …

CA Anthony, E Rojas, N Glass, V Keffala… - The Journal of …, 2022 - Elsevier
Background We conducted a randomized controlled trial to evaluate the effectiveness of
acceptance and commitment therapy (ACT) delivered via a mobile phone messaging robot …

Use of wearable biometric monitoring devices to measure outcomes in randomized clinical trials: a methodological systematic review

C Graña Possamai, P Ravaud, L Ghosn, VT Tran - BMC medicine, 2020 - Springer
Background Wearable biometric monitoring devices (BMDs) have the potential to transform
the conduct of randomized controlled trials (RCTs) by shifting the collection of outcome data …