A mobile health intervention for weight management among young adults: a pilot randomised controlled trial

Hebden, Lana; Cook, Amelia; Ploeg, Hidde P. van der; King, Lesley; Bauman, Adrian; Allman‐Farinelli, Margaret

doi:10.1111/jhn.12155

Cited by 173 publications

(297 citation statements)

References 38 publications

Supporting

Mentioning

287

Contrasting

Unclassified

Order By: Relevance

“…Of 6 studies that compared combined interventions with conventional interventions, 4 reported significantly higher effect on adiposity in the combined intervention group. Of 5 RCTs evaluating combined interventions and diet, 3 found significant improvement in dietary intake 17, 18, 19, 20. Of 2 studies assessing combined interventions and conventional interventions, 1 reported significantly higher effect on diet in the combined intervention group and 1 reported no effect in either intervention group.…”

Section: Resultsmentioning

confidence: 99%

Information Technology and Lifestyle: A Systematic Evaluation of Internet and Mobile Interventions for Improving Diet, Physical Activity, Obesity, Tobacco, and Alcohol Use

Afshin

Babalola

Mclean

et al. 2016

JAHA

199

165

View full text Add to dashboard Cite

BackgroundNovel interventions are needed to improve lifestyle and prevent noncommunicable diseases, the leading cause of death and disability globally. This study aimed to systematically review, synthesize, and grade scientific evidence on effectiveness of novel information and communication technology to reduce noncommunicable disease risk.Methods and ResultsWe systematically searched PubMed for studies evaluating the effect of Internet, mobile phone, personal sensors, or stand‐alone computer software on diet, physical activity, adiposity, tobacco, or alcohol use. We included all interventional and prospective observational studies conducted among generally healthy adults published between January 1990 and November 2013. American Heart Association criteria were used to evaluate and grade the strength of evidence. From 8654 abstracts, 224 relevant reports were identified. Internet and mobile interventions were most common. Internet interventions improved diet (N=20 studies) (Class IIa A), physical activity (N=33), adiposity (N=35), tobacco (N=22), and excess alcohol (N=47) (Class I A each). Mobile interventions improved physical activity (N=6) and adiposity (N=3) (Class I A each). Evidence limitations included relatively brief durations (generally <6 months, nearly always <1 year), heterogeneity in intervention content and intensity, and limited representation from middle/low‐income countries.ConclusionsInternet and mobile interventions improve important lifestyle behaviors up to 1 year. This systematic review supports the need for long‐term interventions to evaluate sustainability.

show abstract

Section: Resultsmentioning

confidence: 99%

Information Technology and Lifestyle: A Systematic Evaluation of Internet and Mobile Interventions for Improving Diet, Physical Activity, Obesity, Tobacco, and Alcohol Use

Afshin

Babalola

Mclean

et al. 2016

JAHA

199

165

View full text Add to dashboard Cite

show abstract

“…Also described in Table 3, the majority of the studies were randomized trials (n=12) 6,8,9,17,18,[21][22][23][27][28][29]31 ; followed by randomized controlled pilot studies (n=3) 7,10,25 ; convenience sample pilot studies (n=2) 1,24 ; quasi experimental (n=1) 30 ; mixed method observation cohort study (n=1) 11 ; and prospective cohort study (n=1) 32 .…”

Section: Methodsmentioning

confidence: 99%

“…Outside of the US, study locations included Australia (n=3) 7,21,25 , New Zealand (n=2) 1,18 , Netherlands, Canada, United Kingdom, and India 8,17,24,27 . Sample size and gender also varied greatly.…”

Section: Settings and Samplementioning

confidence: 99%

“…Described in Table 4, across all studies, the overarching health behavioral change strategy emphasized self-management, which included the following subtopics: self-monitoring, personalized feedback/tailored messages, social support and networking groups, goal setting, skill building, and health education 1,[6][7][8][9][10][11]17,18,[21][22][23][24][25][27][28][29][30][31][32] . Additional health behavior change strategies applied throughout the interventions emphasized reinforcement though the use of rewards and/or incentives 7,8,24,31 .…”

Section: Behavior Change Strategiesmentioning

confidence: 99%

“…The Health Belief Model guided four (n=4) studies across three health domains, diabetes management, prenatal care, and sexual risk reduction 9,11,22,24 . The Transtheoretical Model also guided four interventions (n=4) and was most often guided interventions for weight loss and diabetes self-management 6,[25][26][27] . Self Determination Theory guided two (n=2) interventions in studies focused on weight loss and alcohol relapse prevention 21,28 .…”

mentioning

confidence: 99%

See 2 more Smart Citations

Theory Driven Mobile-Based Interventions: A Scoping Review

Brager¹,

Pinto²,

Kaplin³

2017

JournalMTM

View full text Add to dashboard Cite

Background:Mobile technology is a rapidly evolving field allowing healthcare providers to reach patients outside of a traditional face-to-face setting. Fortunately, interventions are now becoming readily available via mobile devices such as mobile phones, smart phones, and tablets, yet there has been little attention to the design of these interventions so that they are theoretically-driven (informed according to a behavioral theory or model) and ethically performed.Objective: To provide data on theoretically-driven interventions that were empirically tested and to analyze the features and strategies used to implement these interventions. Review Methods: This study employed a scoping review methodology according to the Joann BriggsInstitute. An electronic database search yielded 20 eligible articles. Results:The participants spanned various health domains: cardiovascular (weight control, physical activity, diabetes), cancer (pap testing), prenatal care, substance use (alcohol recovery, smoking cessation), and HIV and/or sexual risk assessment. Social Cognitive Theory, Health Belief Model, and Transtheoretical Model were applied most frequently to guide interventions. Conclusion:Future work should focus on the application of theory and how various implementation techniques translate to the overall effectiveness of the intervention. Mobile technologies have extended the physical boundaries of care beyond the traditional healthcare setting through the incorporation of real-time data capture, exchange and personalization of the interventions 4 . Mobile interventions can be used to target key self-management behaviors like medication adherence, adversities, and barriers, which importantly reinforces the patient's role as an active agent in management of their health 5 . Additionally, these interventions can be designed based on evidence-based principles shown to promote health by connecting individuals to receive social support via discussion forums and personalizing interventions to one's individual needs through the use of tailored text messages [6][7][8][9] . Importantly, at a time where the cost of chronic disease is rising, mobile technologies may provide a cost-effective opportunity capable of reaching larger target populations spanning diverse health domains 8,10,11 . Nearly 90% of American adults own a cell phone, and of these individuals, 64% own a smartphone 12 . Since 2011, there has been a 30% increase in ownership of smartphones with nearly 62% of smartphone owners report using their cellphone to seek health information within the past year 13 . In 2015, there were 500 million smartphone users downloading mobile health applications 14 . While increased access to health information and tools for self-management are desired, the majority of these apps have not undergone rigorous trials for efficacy 14 . There has been little attention to the design of these interventions so that they are theoretically-driven (informed and guided by behavioral theories and/or models) and ethically perform (yield the benefit...

show abstract

School-based physical activity programs for promoting physical activity and fitness in children and adolescents aged 6 to 18

Neil-Sztramko

Caldwell

Dobbins

2021

Cochrane Database of Systematic Reviews

123

104

View full text Add to dashboard Cite

A mobile health intervention for weight management among young adults: a pilot randomised controlled trial

Cited by 173 publications

References 38 publications

Information Technology and Lifestyle: A Systematic Evaluation of Internet and Mobile Interventions for Improving Diet, Physical Activity, Obesity, Tobacco, and Alcohol Use

Information Technology and Lifestyle: A Systematic Evaluation of Internet and Mobile Interventions for Improving Diet, Physical Activity, Obesity, Tobacco, and Alcohol Use

Theory Driven Mobile-Based Interventions: A Scoping Review

School-based physical activity programs for promoting physical activity and fitness in children and adolescents aged 6 to 18

Contact Info

Product

Resources

About