Technology Interventions to Curb Obesity: A Systematic Review of the Current Literature

Coons, Michael James; DeMott, Andrew; Buscemi, Joanna; Duncan, Jennifer M.; Pellegrini, Christine A.; Steglitz, Jeremy; Pictor, Alexander; Spring, Bonnie

doi:10.1007/s12170-012-0222-8

Cited by 90 publications

(116 citation statements)

References 29 publications

(54 reference statements)

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“…Attrition rates from previous reviews ranged from 20 to 43% 10, 13, 17, 44. Attrition rates in this review ranged from 12 to 47% and therefore are similar to previous findings.…”

Section: Discussionsupporting

confidence: 88%

Systematic review and meta‐analysis of internet‐delivered interventions providing personalized feedback for weight loss in overweight and obese adults

et al. 2016

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SummaryBackgroundObesity levels continue to rise annually. Face‐to‐face weight loss consultations have previously identified mixed effectiveness and face high demand with limited resources. Therefore, alternative interventions, such as internet‐delivered interventions, warrant further investigation. The aim was to assess whether internet‐delivered weight loss interventions providing personalized feedback were more effective for weight loss in overweight and obese adults in comparison with control groups receiving no personalized feedback.MethodNine databases were searched, and 12 studies were identified that met all inclusion criteria.ResultsMeta‐analysis, identified participants receiving personalized feedback via internet‐delivered interventions, had 2.13 kg mean difference (SMD) greater weight loss (and BMI change, waist circumference change and 5% weight loss) in comparison with control groups providing no personalized feedback. This was also true for results at 3 and 6‐month time points but not for studies where interventions lasted ≥12 months.ConclusionThis suggests that personalized feedback may be an important behaviour change technique (BCT) to incorporate within internet‐delivered weight loss interventions. However, meta‐analysis results revealed no differences between internet‐delivered weight loss interventions with personalized feedback and control interventions ≥12 months. Further investigation into longer term internet‐delivered interventions is required to examine how weight loss could be maintained. Future research examining which BCTs are most effective for internet‐delivered weight loss interventions is suggested.

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“…Attrition rates from previous reviews ranged from 20 to 43% 10, 13, 17, 44. Attrition rates in this review ranged from 12 to 47% and therefore are similar to previous findings.…”

Section: Discussionsupporting

confidence: 88%

Systematic review and meta‐analysis of internet‐delivered interventions providing personalized feedback for weight loss in overweight and obese adults

et al. 2016

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“…[58][59][60][61][62][63] Overall, weight management interventions have used a range of mobile technologies, 60,[64][65][66][67][68] including texting (SMS), smartphone applications, handheld personal digital assistants (PDAs), and interactive voice response (IVR) systems. 66,69,70 Numerous network-connected devices have also been used, 60,64 including e-scales and wireless physical activity monitoring devices. 71 The use of mobile devices and their functionality (eg, SMS and multimedia messaging service, mobile Internet, and software apps) in weight loss interventions have improved exponentially in recent years.…”

Section: Use Of Mhealth In Weight Management Interventionsmentioning

confidence: 99%

Current Science on Consumer Use of Mobile Health for Cardiovascular Disease Prevention

Burke¹,

Ma²,

Azar³

et al. 2015

Circulation

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A lthough mortality for cardiovascular disease (CVD) has declined for several decades, heart disease and stroke continue to be the leading causes of death, disability, and high healthcare costs. Unhealthy behaviors related to CVD risk (eg, smoking, sedentary lifestyle, and unhealthful eating habits) remain highly prevalent. The high rates of overweight, obesity, and type 2 diabetes mellitus (T2DM); the persistent presence of uncontrolled hypertension; lipid levels not at target; and the ≈18% of adults who continue to smoke cigarettes pose formidable challenges for achieving improved cardiovascular health.1,2 It is apparent that the performance of healthful behaviors related to the management of CVD risk factors has become an increasingly important facet of the prevention and management of CVD. 3In 2010, the American Heart Association (AHA) made a transformative shift in its strategic plan and added the concept of cardiovascular health.2 To operationalize this concept, the AHA targeted 4 health behaviors in the 2020 Strategic Impact Goals: reduction in smoking and weight, healthful eating, and promotion of regular physical activity. Three health indicators also were included: glucose, blood pressure (BP), and cholesterol. On the basis of the AHA Life's Simple 7 metrics for improved cardiovascular health, <1% of adults in the United States follow a healthful eating plan, only 32% have a normal body mass index, and > 30% have not reached the target levels for lipids or BP. National Health and Nutrition Examination Survey (NHANES) data revealed that people who met ≥6 of the cardiovascular health metrics had a significantly better risk profile (hazard ratio for all-cause mortality, 0.49) compared with individuals who had achieved only 1 metric or none.2 The studies reviewed in this statement targeted these behaviors (ie, smoking, physical activity, healthful eating, and maintaining a healthful weight) and cardiovascular health indicators (ie, blood glucose, lipids, BP, body mass index) as the primary outcomes in the clinical trials testing mobile health (mHealth) interventions.eHealth, or digital health, is the use of emerging communication and information technologies, especially the Internet, to improve health and health care 4 (Table 1). mHealth, a subsegment of eHealth, is the use of mobile computing and communication technologies (eg, mobile phones, wearable sensors) for health services and information.4,5 mHealth technology uses techniques and advanced concepts from an array of disciplines, for example, computer science, electrical and

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“…Germ-free mice receiving microbiota from conventional mice presented obesity, and this was shown to be attributed to energy deposition into host adipocytes by microbiota [129]. The gut microbiome is a marker for diabetes.…”

Section: Microbiome and Diseasesmentioning

confidence: 99%

Systems biomedicine: It’s your turn —Recent progress in systems biomedicine

et al. 2013

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The concept of “systems biology” is raised by Hood in 1999. It means studying all components with a systematic view. Systems biomedicine is the application of systems biology in medicine. It studies all components in a whole system and aims to reveal the patho‐physiologic mechanisms of disease. In recent years, with the development of both theory and technology, systems biomedicine has become feasible and popular. In this review, we will talk about applications of some methods of omics in systems biomedicine, including genomics, metabolomics (proteomics, lipidomics, glycomics), and epigenomics. We will particularly talk about microbiomics and omics for common diseases, two fields which are developed rapidly recently. We also give some bioinformatics related methods and databases which are used in the field of systems biomedicine. At last, some examples that illustrate the whole biological system will be given, and development for systems biomedicine in China and the prospect for systems biomedicine will be talked about.

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Technology Interventions to Curb Obesity: A Systematic Review of the Current Literature

Cited by 90 publications

References 29 publications

Systematic review and meta‐analysis of internet‐delivered interventions providing personalized feedback for weight loss in overweight and obese adults

Systematic review and meta‐analysis of internet‐delivered interventions providing personalized feedback for weight loss in overweight and obese adults

Current Science on Consumer Use of Mobile Health for Cardiovascular Disease Prevention

Systems biomedicine: It’s your turn —Recent progress in systems biomedicine

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