Trends in Weight Management 2011

Free download. Book file PDF easily for everyone and every device. You can download and read online Trends in Weight Management 2011 file PDF Book only if you are registered here. And also you can download or read online all Book PDF file that related with Trends in Weight Management 2011 book. Happy reading Trends in Weight Management 2011 Bookeveryone. Download file Free Book PDF Trends in Weight Management 2011 at Complete PDF Library. This Book have some digital formats such us :paperbook, ebook, kindle, epub, fb2 and another formats. Here is The CompletePDF Book Library. It's free to register here to get Book file PDF Trends in Weight Management 2011 Pocket Guide.
Downloads Trends in Weight Management 2011

West Virginia

J Med Internet Res. The behavior change technique taxonomy v1 of 93 hierarchically clustered techniques: building an international consensus for the reporting of behavior change interventions. Ann Behav Med. Bandura A. Carver C, Scheier M. On the Self Regulation of Behavior. The theory of planned behavior. Organizationa Behavior and Human Decision Processes. Abraham C, Michie S.

  • Calorie Control Council Predicts Top 5 Trends in Dieting and Weight Loss in 2011.
  • Françoise Hardy : pour un public majeur (Témoins / Témoignages) (French Edition)?
  • Share This Article.
  • Cest nous les Africains : LEpopée de larmée française dAfrique 1940-1945 (Documents, Actualités, Société) (French Edition).

A taxonomy of behavior change techniques used in interventions. Health Psychol. Weight loss-there is an app for that! But does it adhere to evidence-informed practices? Transl Behav Med.

Top 10 Weight-Loss Trends of 2011

Effective techniques in healthy eating and physical activity interventions: a meta-regression. A qualitative investigation. Br J Health Psychol. Evidence-based strategies in weight-loss mobile apps. Am J Prev Med. Design and pilot results of a mobile phone weight-loss application for women starting a meal replacement programme. J Telemed Telecare. Br J Nutr. Gartner; Adherence to a smartphone application for weight loss compared to website and paper diary: pilot randomized controlled trial. Gynecol Oncol.

BMC Public Health. No authors listed. Diabetes Prevention Program. The Diabetes Prevention Program. Design and methods for a clinical trial in the prevention of type 2 diabetes. Behavior change techniques in top-ranked mobile apps for physical activity. Do physical activity and dietary smartphone applications incorporate evidence-based behaviour change techniques?

Factors related to sustained use of a free mobile app for dietary self-monitoring with photography and peer feedback: retrospective cohort study. Effectiveness of a smartphone application for weight loss compared with usual care in overweight primary care patients: a randomized, controlled trial. Ann Intern Med. Mobile health technology evaluation: the mHealth evidence workshop. Development of smartphone applications for nutrition and physical activity behavior change. Randomized controlled pilot study testing use of smartphone technology for obesity treatment.

J Obes. Using mHealth technology to enhance self-monitoring for weight loss: a randomized trial. Patterns of success: online self-monitoring in a web-based behavioral weight control program. Monitoring eating habits using a piezoelectric sensor-based necklace. Comput Biol Med. A preliminary investigation of human body composition using galvanically coupled signals. Using pedometers to increase physical activity and improve health: a systematic review.

The comparison of a technology-based system and an in-person behavioral weight loss intervention. Electronic feedback in a diet- and physical activity-based lifestyle intervention for weight loss: a randomized controlled trial. Validity of consumer-based physical activity monitors. Wearable devices as facilitators, not drivers, of health behavior change.

The effect of electronic self-monitoring on weight loss and dietary intake: a randomized behavioral weight loss trial. However, small sample sizes, short follow-up periods, and the lack of intent-to-treat analyses make it difficult to make any strong conclusions. The studies completed to date help to provide insight on the potential of smartphone apps. Yet, specific treatment effects are difficult to decipher due to the differing app features, frequency of interventionist contact, and the varying levels of other included intervention components.

A recent review on mobile phone interventions to increase physical activity and weight loss by Stephens and Allen 63 suggested that these technologies are well-accepted by participants; however, more empirical evidence is needed in order to fully evaluate the efficacy of this technology on weight loss. Many of the studies published to date demonstrate the promise that smartphones and apps have for improving program adherence and producing clinically meaningful weight losses at a small cost; however, many gaps remain in the field before the full potential of smartphone use for weight loss can be evaluated.

Intervention components that are now standard in traditional weight loss programs need further investigation when delivered as a feature on a smartphone. While greater adherence has been observed in technology-supported interventions, it is still unclear as to whether increased adherence translates to greater weight loss, more sustained engagement, or long-term maintenance. In order to maintain engagement, an app must be enjoyable, have perceived value, and not be too burdensome.

Further, engagement with the app should result in successful behavior change. The optimal duration of app use for weight loss initiation or maintenance is unclear. Moreover, there remains a question as to how effective an intervention can be when the human support is removed. Further, more prospective longitudinal trials investigating the types of self-monitoring tools and how human intervention delivery impacts weight loss outcomes are needed. As an additional step, research needs to also focus on what users will be motivated to use over time to optimize the potential impact of the interventions.

Collectively, the field would greatly benefit from additional collaborations between behavioral scientists and experts in computer science and human—computer interaction.

These collaborations could help to better identify ways to enhance engagement and motivation to use an app. Numerous larger and longer term clinical trials are ongoing that may provide more evidence on the effects of smartphone-based programs on weight loss. This trial is currently underway to examine if the addition of acceptance-based behavioral treatment can help nonresponders to treatment. As human behavior is often dynamic, and weight loss involves several health behaviors, it would also be advantageous for researchers to explore the use of different behavioral theories and models.

Top 10 Weight-Loss Trends of - Shape Magazine | Shape

Dynamical system models from control systems engineering, for example, may be particularly relevant for smartphone-based weight loss interventions. Given that sensor data could be collected in-the-moment, interventions may well be delivered at the time they are most needed, providing a potentially powerful strategy to change behaviors through a smartphone.

Smartphones have the potential to deliver accessible, low-cost, and scalable smartphone-based programs to a large proportion of the population.

The dramatic increase in smartphone ownership and further advancing technological capabilities provide unprecedented opportunities to provide in-the-moment and continuous weight loss support. Smartphones and apps could be leveraged to provide scalable evidence-based behavior change to facilitate weight loss across a population level. However, while smartphone apps and complementary technologies have been rapidly developing, little is known about the optimal ways to maintain engagement and the effectiveness of behavior change techniques when delivered by this technology.

Early evidence shows promise, yet the research has difficulty keeping pace with the rapidly changing smartphone capabilities and surge of nonevidence-based weight loss apps available on the market. Additional research and methods are needed to evaluate specific aspects of smartphone-based programs in more novel, rapid, and dynamic ways. Prevalence of obesity and trends in the distribution of body mass index among US adults, — National, regional, and global trends in adult overweight and obesity prevalences.

Popul Health Metr. Body mass and weight change in adults in relation to mortality risk. Am J Epidemiol.

Analyst Pulse: Trends in Global Weight Loss Diets

Effect of weight loss with lifestyle intervention on risk of diabetes. Diabetes Care. Effect of weight on cardiovascular disease.

Login to your account

The Am J Clin Nutr. Body-mass index and incidence of cancer: a systematic review and meta-analysis of prospective observational studies. Behavioral treatment of obesity. Psychiatr Clin North Am. Diabetes Prevention Program Research Group.

Trends in Weight Management 2011 Trends in Weight Management 2011
Trends in Weight Management 2011 Trends in Weight Management 2011
Trends in Weight Management 2011 Trends in Weight Management 2011
Trends in Weight Management 2011 Trends in Weight Management 2011
Trends in Weight Management 2011 Trends in Weight Management 2011
Trends in Weight Management 2011 Trends in Weight Management 2011
Trends in Weight Management 2011 Trends in Weight Management 2011

Related Trends in Weight Management 2011

Copyright 2019 - All Right Reserved