scholarly article | Q13442814 |
P50 | author | Ying Wang | Q57000244 |
Paige Martin | Q58662748 | ||
Huong Ly Tong | Q61467210 | ||
Juan C Quiroz | Q89626103 | ||
William Tong | Q92670439 | ||
Enrico W. Coiera | Q42057718 | ||
Liliana Laranjo | Q45372988 | ||
P2093 | author name string | Enrico Coiera | |
Ying Wang | |||
William Tong | |||
Paige Martin | |||
Huong Ly Tong | |||
Liliana Laranjo | |||
Juan C Quiroz | |||
P2860 | cites work | The Spread of Obesity in a Large Social Network over 32 Years | Q22248107 |
The collective dynamics of smoking in a large social network | Q24647437 | ||
Systematic review of the validity and reliability of consumer-wearable activity trackers | Q26774705 | ||
Mobile Phone Apps to Promote Weight Loss and Increase Physical Activity: A Systematic Review and Meta-Analysis | Q26778228 | ||
A Persuasive and Social mHealth Application for Physical Activity: A Usability and Feasibility Study | Q28655138 | ||
The behavior change technique taxonomy (v1) of 93 hierarchically clustered techniques: building an international consensus for the reporting of behavior change interventions | Q29620111 | ||
Physical activity and risk of breast cancer, colon cancer, diabetes, ischemic heart disease, and ischemic stroke events: systematic review and dose-response meta-analysis for the Global Burden of Disease Study 2013. | Q30248543 | ||
The economic burden of physical inactivity: a global analysis of major non-communicable diseases. | Q30391216 | ||
Effectiveness of a facebook-delivered physical activity intervention for post-partum women: a randomized controlled trial protocol | Q30540392 | ||
Using smartphone technology to monitor physical activity in the 10,000 Steps program: a matched case-control trial | Q33438848 | ||
Increasing physical activity with mobile devices: a meta-analysis | Q33439206 | ||
Measuring and influencing physical activity with smartphone technology: a systematic review. | Q33440554 | ||
Apps for IMproving FITness and Increasing Physical Activity Among Young People: The AIMFIT Pragmatic Randomized Controlled Trial | Q33444909 | ||
Effects of Three Motivationally Targeted Mobile Device Applications on Initial Physical Activity and Sedentary Behavior Change in Midlife and Older Adults: A Randomized Trial | Q33449438 | ||
Behavior Change with Fitness Technology in Sedentary Adults: A Review of the Evidence for Increasing Physical Activity | Q33452470 | ||
Quality control and data reduction procedures for accelerometry-derived measures of physical activity. | Q33566929 | ||
Systematic review of reviews of intervention components associated with increased effectiveness in dietary and physical activity interventions. | Q33824231 | ||
Effectiveness of a web- and mobile phone-based intervention to promote physical activity and healthy eating in middle-aged males: randomized controlled trial of the ManUp study. | Q33876039 | ||
Innovation to motivation--pilot study of a mobile phone intervention to increase physical activity among sedentary women | Q34127104 | ||
The behaviour change wheel: a new method for characterising and designing behaviour change interventions | Q34179996 | ||
Usability testing and piloting of the Mums Step It Up program--a team-based social networking physical activity intervention for women with young children | Q34278327 | ||
Patterns of Fitbit Use and Activity Levels Throughout a Physical Activity Intervention: Exploratory Analysis from a Randomized Controlled Trial | Q48103516 | ||
A taxonomy of behavior change techniques used in interventions. | Q48681947 | ||
Using A Facebook Group As An Adjunct To A Pilot mHealth Physical Activity Intervention: A Mixed Methods Approach. | Q50238657 | ||
Association between change in daily ambulatory activity and cardiovascular events in people with impaired glucose tolerance (NAVIGATOR trial): a cohort analysis. | Q54408873 | ||
Worldwide trends in insufficient physical activity from 2001 to 2016: a pooled analysis of 358 population-based surveys with 1·9 million participants | Q57230013 | ||
Online Actions with Offline Impact: How Online Social Networks Influence Online and Offline User Behavior | Q60309304 | ||
Posts, pics, or polls? Which post type generates the greatest engagement in a Facebook physical activity intervention? | Q88371985 | ||
A Low-Intensity Mobile Health Intervention With and Without Health Counseling for Persons With Type 2 Diabetes, Part 1: Baseline and Short-Term Results From a Randomized Controlled Trial in the Norwegian Part of RENEWING HEALTH | Q34453358 | ||
Social support for physical activity-role of Facebook with and without structured intervention. | Q34862055 | ||
Health behavior models in the age of mobile interventions: are our theories up to the task? | Q35126122 | ||
How many steps/day are enough? For adults | Q35397036 | ||
The influence of social networking sites on health behavior change: a systematic review and meta-analysis | Q35611228 | ||
Leisure time physical activity and mortality: a detailed pooled analysis of the dose-response relationship | Q35672150 | ||
Using internet and mobile phone technology to deliver an automated physical activity program: randomized controlled trial | Q35804879 | ||
Reliability and validity of ten consumer activity trackers | Q35805835 | ||
Engineering Online and In-Person Social Networks for Physical Activity: A Randomized Trial | Q36074179 | ||
Validity and Reliability of Fitbit Flex for Step Count, Moderate to Vigorous Physical Activity and Activity Energy Expenditure | Q36121787 | ||
CONSORT 2010 statement: extension to randomised pilot and feasibility trials | Q36173563 | ||
Compositional data analysis for physical activity, sedentary time and sleep research. | Q36384302 | ||
Social environment and physical activity: a review of concepts and evidence | Q36464759 | ||
How to reduce sitting time? A review of behaviour change strategies used in sedentary behaviour reduction interventions among adults | Q36551022 | ||
Mobile and Wearable Device Features that Matter in Promoting Physical Activity. | Q37143283 | ||
Evidence-based intervention in physical activity: lessons from around the world | Q37161282 | ||
Physical Activity Assessment Between Consumer- and Research-Grade Accelerometers: A Comparative Study in Free-Living Conditions | Q37306811 | ||
Feasibility and preliminary efficacy of the 'HEYMAN' healthy lifestyle program for young men: a pilot randomised controlled trial. | Q37586674 | ||
Are health behavior change interventions that use online social networks effective? A systematic review | Q37605878 | ||
Effective techniques in healthy eating and physical activity interventions: a meta-regression. | Q37633521 | ||
Piloting a mobile health intervention to increase physical activity for adolescents with ADHD. | Q37731879 | ||
Empirical studies on usability of mHealth apps: a systematic literature review | Q38323570 | ||
Assessing User Engagement of an mHealth Intervention: Development and Implementation of the Growing Healthy App Engagement Index. | Q38664892 | ||
A Fitbit and Facebook mHealth intervention for promoting physical activity among adolescent and young adult childhood cancer survivors: A pilot study. | Q38724156 | ||
Understanding and Promoting Effective Engagement With Digital Behavior Change Interventions | Q38811079 | ||
Tweeting to Health: A Novel mHealth Intervention Using Fitbits and Twitter to Foster Healthy Lifestyles | Q39673697 | ||
Use of a mobile social networking intervention for weight management: a mixed-methods study protocol | Q41228044 | ||
Meta-analysis of the relationship between breaks in sedentary behavior and cardiometabolic health | Q41451137 | ||
The law of attrition | Q41877471 | ||
Social networks, social media, and social diseases | Q44014444 | ||
The impact of an online social network with wireless monitoring devices on physical activity and weight loss | Q44552722 | ||
The effect of physical activity on mortality and cardiovascular disease in 130 000 people from 17 high-income, middle-income, and low-income countries: the PURE study | Q45370606 | ||
Just-in-Time Adaptive Interventions (JITAIs) in Mobile Health: Key Components and Design Principles for Ongoing Health Behavior Support | Q47397443 | ||
A Randomized Trial of Social Comparison Feedback and Financial Incentives to Increase Physical Activity. | Q48048660 | ||
P433 | issue | 3 | |
P407 | language of work or name | English | Q1860 |
P921 | main subject | social network | Q2715623 |
P304 | page(s) | e12181 | |
P577 | publication date | 2019-03-28 | |
P1433 | published in | JMIR mHealth and uHealth | Q27725554 |
P1476 | title | Efficacy of a Mobile Social Networking Intervention in Promoting Physical Activity: Quasi-Experimental Study | |
P478 | volume | 7 |
Q90114077 | Feasibility of Social-Network-Based eHealth Intervention on the Improvement of Healthy Habits among Children | cites work | P2860 |
Search more.