| scholarly article | Q13442814 |
| P6179 | Dimensions Publication ID | 1022402998 |
| P356 | DOI | 10.1007/S40279-014-0142-5 |
| P2888 | exact match | https://scigraph.springernature.com/pub.10.1007/s40279-014-0142-5 |
| P698 | PubMed publication ID | 24497157 |
| P50 | author | Stewart G Trost | Q39620670 |
| Nicholas D Gilson | Q57300507 | ||
| Judit Bort-Roig | Q87138435 | ||
| P2093 | author name string | Anna Puig-Ribera | |
| Ruth S Contreras | |||
| P2860 | cites work | Health and the mobile phone | Q24656001 |
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| P433 | issue | 5 | |
| P921 | main subject | smartphone | Q22645 |
| systematic review | Q1504425 | ||
| P304 | page(s) | 671-686 | |
| P577 | publication date | 2014-05-01 | |
| P1433 | published in | Sports Medicine | Q15762097 |
| P1476 | title | Measuring and influencing physical activity with smartphone technology: a systematic review | |
| P478 | volume | 44 |
| Q55369319 | A 4-Week Intervention Involving Mobile-Based Daily 6-Minute Micro-Sessions of Functional High-Intensity Circuit Training Improves Strength and Quality of Life, but Not Cardio-Respiratory Fitness of Young Untrained Adults. |
| Q38661728 | A Bit of Fit: Minimalist Intervention in Adolescents Based on a Physical Activity Tracker. |
| Q52263926 | A Descriptive Study of Objectively Measured Pokémon GO Playtime in College Students. |
| Q38331223 | A Mobile Phone App to Stimulate Daily Physical Activity in Patients with Chronic Obstructive Pulmonary Disease: Development, Feasibility, and Pilot Studies |
| Q58185177 | A Needs Assessment, Development, and Formative Evaluation of a Health Promotion Smartphone Application for College Students |
| Q94408658 | A Review of Smartphone Applications for Promoting Physical Activity |
| Q92663555 | A Scoping Review of Digital Tools to Reduce Sedentary Behavior or Increase Physical Activity in Knowledge Workers |
| Q39130407 | A meta-analysis of overall effects of weight loss interventions delivered via mobile phones and effect size differences according to delivery mode, personal contact, and intervention intensity and duration |
| Q49167233 | A systematic literature review of reviews on techniques for physical activity measurement in adults: a DEDIPAC study. |
| Q37700053 | Accuracy and Adoption of Wearable Technology Used by Active Citizens: A Marathon Event Field Study. |
| Q33447545 | Accuracy of three Android-based pedometer applications in laboratory and free-living settings |
| Q41551301 | Activity Trackers Implement Different Behavior Change Techniques for Activity, Sleep, and Sedentary Behaviors. |
| Q57688973 | Activity monitors for increasing physical activity in adult stroke survivors |
| Q62494494 | Advances and Controversies in Diet and Physical Activity Measurement in Youth |
| Q92409698 | African American women's relationship with their mobile phone, and what they want in a mobile delivered physical activity intervention: guidance for intervention development |
| Q57156374 | An mHealth App for Self-Management of Chronic Lower Back Pain (Limbr): Pilot Study |
| Q33450828 | An mHealth Intervention Using a Smartphone App to Increase Walking Behavior in Young Adults: A Pilot Study |
| Q91590634 | Anxious or empowered? A cross-sectional study exploring how wearable activity trackers make their owners feel |
| Q35758265 | App use, physical activity and healthy lifestyle: a cross sectional study |
| Q38937324 | Automobile, construction and entertainment business sector influences on sedentary lifestyles |
| Q33449931 | Balanced: a randomised trial examining the efficacy of two self-monitoring methods for an app-based multi-behaviour intervention to improve physical activity, sitting and sleep in adults |
| Q33452470 | Behavior Change with Fitness Technology in Sedentary Adults: A Review of the Evidence for Increasing Physical Activity |
| Q92619982 | Breast cancer survivors' preferences for mHealth physical activity interventions: findings from a mixed methods study |
| Q38805783 | Breast cancer survivors' preferences for technology-supported exercise interventions. |
| Q37629642 | Can Mobile Phone Apps Influence People's Health Behavior Change? An Evidence Review |
| Q33450606 | Can Programming Frameworks Bring Smartphones into the Mainstream of Psychological Science? |
| Q37075856 | Cardiorespiratory Improvements Achieved by American College of Sports Medicine's Exercise Prescription Implemented on a Mobile App |
| Q42035660 | Chronic Disease and Mobile Technology: An Innovative Tool for Clinicians |
| Q33446477 | Chronic disease risks and use of a smartphone application during a physical activity and dietary intervention in Australian truck drivers. |
| Q64103717 | Comparative analysis of positioning accuracy of Samsung Galaxy smartphones in stationary measurements |
| Q57807571 | Comparison of a new wrist-worn accelerometer with a commonly used triaxial accelerometer under free-living conditions |
| Q56378869 | Complexity of Daily Physical Activity Is More Sensitive Than Conventional Metrics to Assess Functional Change in Younger Older Adults |
| Q33659544 | Compliance With Mobile Ecological Momentary Assessment Protocols in Children and Adolescents: A Systematic Review and Meta-Analysis |
| Q33444729 | Current Science on Consumer Use of Mobile Health for Cardiovascular Disease Prevention: A Scientific Statement From the American Heart Association |
| Q92409682 | Development of a mobile phone app to maintain physical activity in African American men: MobileMen |
| Q60910575 | Discontinuously supervised aerobic training vs. physical activity promotion in the self-management of type 2 diabetes in older Italian patients: design and methods of the 'TRIPL-A' randomized controlled trial |
| Q38610541 | Effectiveness of Smartphone Devices in Promoting Physical Activity and Exercise in Patients with Chronic Obstructive Pulmonary Disease: A Systematic Review. |
| Q35718423 | Effectiveness of mobile electronic devices in weight loss among overweight and obese populations: a systematic review and meta-analysis |
| Q91636430 | Effects of Mobile Health Including Wearable Activity Trackers to Increase Physical Activity Outcomes Among Healthy Children and Adolescents: Systematic Review |
| Q93140431 | Effects of Mobile Health Prompts on Self-Monitoring and Exercise Behaviors Following a Diabetes Prevention Program: Secondary Analysis From a Randomized Controlled Trial |
| Q33449438 | Effects of Three Motivationally Targeted Mobile Device Applications on Initial Physical Activity and Sedentary Behavior Change in Midlife and Older Adults: A Randomized Trial |
| Q64107884 | Efficacy of a Mobile Social Networking Intervention in Promoting Physical Activity: Quasi-Experimental Study |
| Q28078560 | Efficacy of interventions that use apps to improve diet, physical activity and sedentary behaviour: a systematic review |
| Q42639950 | Encouraging Physical Activity in Patients With Diabetes: Intervention Using a Reinforcement Learning System |
| Q33444334 | Engagement and Nonusage Attrition With a Free Physical Activity Promotion Program: The Case of 10,000 Steps Australia |
| Q64231457 | Evaluating Motivational Interviewing and Habit Formation to Enhance the Effect of Activity Trackers on Healthy Adults' Activity Levels: Randomized Intervention |
| Q52344049 | Evaluating the Impact of Physical Activity Apps and Wearables: Interdisciplinary Review. |
| Q53689668 | Exercise for Toxicity Management in Cancer-A Narrative Review. |
| Q34024677 | Family-based interventions to increase physical activity in children: a meta-analysis and realist synthesis protocol |
| Q37010185 | Feasibility and Performance Test of a Real-Time Sensor-Informed Context-Sensitive Ecological Momentary Assessment to Capture Physical Activity |
| Q42639977 | Feasibility of Gamified Mobile Service Aimed at Physical Activation in Young Men: Population-Based Randomized Controlled Study (MOPO). |
| Q60935693 | Feasibility of Using a Commercial Fitness Tracker as an Adjunct to Family-Based Weight Management Treatment: Pilot Randomized Trial |
| Q90033113 | Feasibility of an Electronic Health Tool to Promote Physical Activity in Primary Care: Pilot Cluster Randomized Controlled Trial |
| Q58101144 | Feasibility, validity and reliability of objective smartphone measurements of physical activity and fitness in patients with cancer |
| Q92871593 | Feedback on Physical Activity Through a Wearable Device Connected to a Mobile Phone App in Patients With Metabolic Syndrome: Pilot Study |
| Q38813128 | Future directions in physical activity intervention research: expanding our focus to sedentary behaviors, technology, and dissemination. |
| Q89467169 | Gender differences in related influential factors of regular exercise behavior among people in Taiwan in 2007: A cross-sectional study |
| Q88406515 | Harnessing mHealth technologies to increase physical activity and prevent cardiovascular disease |
| Q92082607 | Human Activity Recognition Using Inertial Sensors in a Smartphone: An Overview |
| Q60912477 | INTERACT: A comprehensive approach to assess urban form interventions through natural experiments |
| Q38614382 | Impact of mobile apps to combat obesity in children and adolescents: A systematic literature review |
| Q92435337 | Impact of wearable physical activity monitoring devices with exercise prescription or advice in the maintenance phase of cardiac rehabilitation: systematic review and meta-analysis |
| Q47558060 | Increasing the Intensity over Time of an Electric-Assist Bike Based on the User and Route: The Bike Becomes the Gym. |
| Q37004500 | Individual Versus Team-Based Financial Incentives to Increase Physical Activity: A Randomized, Controlled Trial. |
| Q35929469 | It's LiFe! Mobile and Web-Based Monitoring and Feedback Tool Embedded in Primary Care Increases Physical Activity: A Cluster Randomized Controlled Trial |
| Q93051263 | Key Elements of mHealth Interventions to Successfully Increase Physical Activity: Meta-Regression |
| Q92585053 | Leveraging Multi-Modal Sensing for Mobile Health: A Case Review in Chronic Pain |
| Q59351981 | Longitudinal Validity and Reliability of Brief Smartphone Self-Monitoring of Diet, Stress, and Physical Activity in a Diverse Sample of Mothers |
| Q101041643 | Measuring physical activity with activity monitors in patients with heart failure. From literature to practice. A position paper from the Committee on Exercise Physiology and Training of the Heart Failure Association of the European Society of Cardi |
| Q33448364 | Medical students' attitudes and wishes towards extending an educational general practice app to be suitable for practice: A cross-sectional survey from Leipzig, Germany |
| Q90514273 | Mobile App-Based Health Promotion Programs: A Systematic Review of the Literature |
| Q37732796 | Mobile Health Applications to Promote Active and Healthy Ageing |
| Q33445490 | Mobile Health Initiatives to Improve Outcomes in Primary Prevention of Cardiovascular Disease |
| Q36441064 | Mobile Phone and Web 2.0 Technologies for Weight Management: A Systematic Scoping Review. |
| Q64111125 | Mobile health interventions to promote physical activity and reduce sedentary behaviour in the workplace: A systematic review |
| Q37144805 | Mobile technology for mental health assessment |
| Q64230523 | Mobile-Based Interventions for Dietary Behavior Change and Health Outcomes: Scoping Review |
| Q64082884 | Monitoring Student Activities with Smartwatches: On the Academic Performance Enhancement |
| Q55003419 | Movement velocity in the chair squat is associated with measures of functional capacity and cognition in elderly people at low risk of fall. |
| Q55409777 | Multiclass Classifier based Cardiovascular Condition Detection Using Smartphone Mechanocardiography. |
| Q34658094 | Parent-targeted mobile phone intervention to increase physical activity in sedentary children: randomized pilot trial |
| Q53407583 | Physical Activity, Sedentary Behavior, and Diet-Related eHealth and mHealth Research: Bibliometric Analysis. |
| Q33637728 | Physical activity and unplanned illness-related work absenteeism: Data from an employee wellness program |
| Q64057147 | Physical activity, sleep and cardiovascular health data for 50,000 individuals from the MyHeart Counts Study |
| Q52263955 | Pokémon GO May Increase Physical Activity and Decrease Sedentary Behaviors. |
| Q30653846 | Predictors of students' self-reported adoption of a smartphone application for medical education in general practice |
| Q94585506 | ReNaApp: increasing the long-term effects of oncological rehabilitation through an application after medical rehabilitation (ReNaApp): a quasi-randomized longitudinal study of prospective design |
| Q47102480 | Recruitment and Ongoing Engagement in a UK Smartphone Study Examining the Association Between Weather and Pain: Cohort Study |
| Q90034580 | Remote Management of Poststroke Patients With a Smartphone-Based Management System Integrated in Clinical Care: Prospective, Nonrandomized, Interventional Study |
| Q33453724 | Review of researches on smartphone applications for physical activity promotion in healthy adults |
| Q52661673 | Run Clever - No difference in risk of injury when comparing progression in running volume and running intensity in recreational runners: A randomised trial. |
| Q42373762 | Self-Care for the Prevention and Management of Cardiovascular Disease and Stroke: A Scientific Statement for Healthcare Professionals From the American Heart Association |
| Q64964529 | Smartphone Use and Physical Activity among College Students in Health Science-Related Majors in the United States and Thailand. |
| Q33445461 | Smartphone apps for orthopaedic sports medicine - a smart move? |
| Q92153272 | Smartphone-Based Health Program for Improving Physical Activity and Tackling Obesity for Young Adults: A Systematic Review and Meta-Analysis |
| Q90548633 | Social Support and Common Dyadic Coping in Couples' Dyadic Management of Type II Diabetes: Protocol for an Ambulatory Assessment Application |
| Q92274782 | Specialized Smartphone Intervention Apps: Review of 2014 to 2018 NIH Funded Grants |
| Q64253846 | Step Counts of Middle-Aged and Elderly Adults for 10 Months Before and After the Release of Pokémon GO in Yokohama, Japan |
| Q47296970 | Systematic review of smartphone-based passive sensing for health and wellbeing |
| Q58593752 | Technology-Based Physical Activity Self-Monitoring Among College Students |
| Q64229356 | Technology-Supported Self-Guided Nutrition and Physical Activity Interventions for Adults With Cancer: Systematic Review |
| Q40019573 | Texting your way to healthier eating? Effects of participating in a feedback intervention using text messaging on adolescents' fruit and vegetable intake. |
| Q92074704 | The Case for Jointly Targeting Diabetes and Depression Among Vulnerable Patients Using Digital Technology |
| Q38827496 | The Impact of Interventions that Integrate Accelerometers on Physical Activity and Weight Loss: A Systematic Review |
| Q57498387 | The Need for Local, Multidisciplinary Collaborations to Promote Advances in Physical Activity Research and Policy Change: The Creation of the Boston Physical Activity Resource Collaborative (BPARC) |
| Q51144372 | The SMART Study, a Mobile Health and Citizen Science Methodological Platform for Active Living Surveillance, Integrated Knowledge Translation, and Policy Interventions: Longitudinal Study. |
| Q92064784 | The Use of Smart Technology in an Online Community of Patients With Degenerative Cervical Myelopathy |
| Q47712817 | The dynamics of success and failure: how post-behaviour evaluations relate to subsequent exercise intentions and behaviour. |
| Q53430588 | The effect of interactive digital interventions on physical activity in people with inflammatory arthritis: a systematic review. |
| Q28078264 | The effectiveness of e-& mHealth interventions to promote physical activity and healthy diets in developing countries: A systematic review |
| Q37691337 | The impact of utilizing mobile phones to promote physical activity among post-secondary students: a scoping review |
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