Mobile Health and mHealth Applications
57 works in the bibliography carry this topic. Each used an Axivity accelerometer to collect data, or evaluated one as an instrument.
2026
- 0846 Do Wearables Agree? Concordance of Commercial and Research-Grade Sleep Measures in Older Adults Across Healthy and Clinical Cohorts (opens in new tab)
- Effectiveness of a female community health volunteer-led physical activity education intervention on accelerometer-derived outcomes in semi-urban Nepal: an open-label, cluster randomised controlled trial (opens in new tab)
- Feedback from wearable devices accelerates recovery after breast cancer surgery (opens in new tab)
- Testing a digitally administered intervention to increase social participation, physical fitness, and health awareness among healthy older adults by means of tablet-based app use: study protocol of the SMART-AGE randomized controlled trial (opens in new tab)
- The Feasibility of Smartwatch Micro–Ecological Momentary Assessment for Tracking Eating Patterns of Malaysian Children and Adolescents in the South-East Asian Community Observatory Child Health Update 2020: Cross-Sectional Study (opens in new tab)
2025
- Adolescent Engagement With a Multicomponent mHealth Tool: Identifying Usage Patterns, Determinants, and Health Behavior Change in an Intervention Trial (opens in new tab)
- Association between device-measured physical activities, type 2 diabetes, and life expectancy over the next 10 years: a prospective longitudinal study (opens in new tab)
- Co-design of a digital 24-hour time-use intervention with older adults and allied health professionals (opens in new tab)
- Community-based promotion of physical activity in Nepal: study protocol for a cluster-randomized controlled trial (opens in new tab)
- DARE to wear: digital health promotion and disease prevention using wearable devices (opens in new tab)
- Impact of automated insulin delivery on subjective and objective sleep in children and young adults with very high <scp>HbA1c</scp> : Sleep outcomes from the <scp>CO</scp> ‐ <scp>PILOT</scp> randomised controlled trial (opens in new tab)
- iPlayer: an open-source tool for time-windowed video annotation of human physical activity and behaviour (opens in new tab)
- MoveMentor—examining the effectiveness of a machine learning and app-based digital assistant to increase physical activity in adults: protocol for a randomised controlled trial (opens in new tab)
- Multi-Centre Randomised Controlled Feasibility Testing of a Physical Activity Micropattern Intervention Among Socioeconomically Diverse Women (opens in new tab)
- POS1481-HPR EXPLORING THE FEASIBILITY OF USING DIGITAL TECHNOLOGIES TO MEASURE FREE-LIVING PHYSICAL ACTIVITY AND REAL-TIME SYMPTOMS IN PEOPLE LIVING WITH RHEUMATOID ARTHRITIS (opens in new tab)
The Association Between Parent’s Mobile Device Use and Physical Activity
- The Feasibility of Smartwatch Micro Ecological Momentary Assessment for Tracking Eating Patterns of Malaysian Children and Adolescents in the SEACO Child Health Update 2020: a Cross-Sectional Study (opens in new tab)
2024
- [Progress and practice of objective measurement of physical behaviors in large-scale cohort research]. (opens in new tab)
- A mobile healthy lifestyle intervention to promote mental health in adolescence: a mixed-methods evaluation (opens in new tab)
- Accelerometer-measured physical activity, sedentary behavior, and incidence of macrovascular and microvascular events in individuals with type 2 diabetes mellitus and prediabetes (opens in new tab)
- Addressing Data Quality Challenges in Observational Ambulatory Studies: Analysis, Methodologies and Practical Solutions for Wrist-worn Wearable Monitoring (opens in new tab)
- Association between physical activity and sedentary behavior and gestational diabetes mellitus: a Mendelian randomization analysis (opens in new tab)
- Association between “weekend warrior” physical activity and the incidence of neurodegenerative diseases (opens in new tab)
- CAPTURE-24: A large dataset of wrist-worn activity tracker data collected in the wild for human activity recognition (opens in new tab)
- Comparison of stepping-based metrics from ActiGraph accelerometers worn concurrently on the non-dominant wrist and waist among young adults (opens in new tab)
- Knee4Life: Empowering Knee Recovery After Total Knee Replacement Through Digital Health Protocol (opens in new tab)
2023
- Association between electronic device use and health status among a middle-aged and elderly population: a cross-sectional analysis in the UK Biobank (opens in new tab)
- Device-based physical activity measures for population surveillance—issues of selection bias and reactivity (opens in new tab)
- Device-measured movement behaviours in over 20,000 China Kadoorie Biobank participants (opens in new tab)
- Device-measured physical activity and type 2 diabetes mellitus risk (opens in new tab)
- Effects of a family-based lifestyle intervention on co-physical activity and other health-related outcomes of fathers and their children: the ‘Run Daddy Run’ intervention (opens in new tab)
- Ethical challenges of using remote monitoring technologies for clinical research: A case study of the role of local research ethics committees in the RADAR-AD study (opens in new tab)
- Feasibility and usability of a digital health technology system to monitor mobility and assess medication adherence in mild-to-moderate Parkinson's disease (opens in new tab)
- Feasibility of a Postpartum Web- and Phone-Based Lifestyle Program for Women with a History of Preeclampsia or Gestational Diabetes: A Pilot Intervention Study (opens in new tab)
- Human Activity Recognition Using Self-Supervised Representations of Wearable Data (opens in new tab)
- Online Physical Exercise and Group Sessions to Increase and Maintain Physical Activity in Individuals with Type 2 Diabetes: A Single-Arm Feasibility Study (opens in new tab)
2022
- Adaptation of a Danish online version of the Oxford Physical Activity Questionnaire (OPAQ) for secondary school students—a pilot study (opens in new tab)
- Nonusage Attrition of Adolescents in an mHealth Promotion Intervention and the Role of Socioeconomic Status: Secondary Analysis of a 2-Arm Cluster-Controlled Trial (opens in new tab)
- O1-3 Time spent cycling, running, walking, standing, sitting, and lying: a cross-sectional analysis of accelerometer-data from 930 Danes aged 15-94 in the Moving Denmark study (opens in new tab)
- Personalised app-based relapse prevention of depressive and anxiety disorders in remitted adolescents and young adults: a protocol of the StayFine RCT (opens in new tab)
- POPULATION ANALYSIS OF MORTALITY RISK: PREDICTIVE MODELS USING MOTION SENSORS FOR 100,000 PARTICIPANTS IN THE UK BIOBANK NATIONAL COHORT (opens in new tab)
- Putting Temperature into the Equation: Development and Validation of Algorithms to Distinguish Non-Wearing from Inactivity and Sleep in Wearable Sensors (opens in new tab)
- Quantification of acceleration as activity counts in ActiGraph wearable (opens in new tab)
- The Effects of a Lifestyle Intervention Supported by the InterWalk Smartphone App on Increasing Physical Activity Among Persons With Type 2 Diabetes: Parallel-Group, Randomized Trial (opens in new tab)
- The Surveillance of Physical Activity, Sedentary Behavior, and Sleep: Protocol for the Development and Feasibility Evaluation of a Novel Measurement System (opens in new tab)
2021
- Effects of technology-based physical activity interventions for women after bariatric surgery: study protocol for a three-arm randomised controlled trial (opens in new tab)
- Feasibility of two screen media reduction interventions: Results from the SCREENS pilot trial (opens in new tab)
- Reallocation of time between device-measured movement behaviours and risk of incident cardiovascular disease (opens in new tab)
2020
2018
- 7th International Society for Physical Activity and Health Congress (opens in new tab)
- Accelerometer-derived physical activity in those with cardio-metabolic disease compared to healthy adults: a UK Biobank study of 52,556 participants (opens in new tab)
- Statistical machine learning of sleep and physical activity phenotypes from sensor data in 96,220 UK Biobank participants (opens in new tab)
2017
- Implementing 360° Quantified Self for childhood obesity: feasibility study and experiences from a weight loss camp in Qatar (opens in new tab)
- Long-term effect of smartphone-delivered Interval Walking Training on physical activity in patients with type 2 diabetes: protocol for a parallel group single-blinded randomised controlled trial (opens in new tab)
- Tea, talk and technology: patient and public involvement to improve connected health ‘wearables’ research in dementia (opens in new tab)