Mobile But Connected: Harnessing the Power of Self-Efficacy and Group Support for Weight Loss Success through mHealth Intervention

Kim, Heewon; Faw, Meara H.; Michaelides, Andreas

doi:10.1080/10810730.2017.1296510

Cited by 47 publications

(60 citation statements)

References 42 publications

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“…Studies were excluded for multiple reasons, such as not having an intervention component (see Data S3 for a list of the excluded studies). In total, 41 studies had investigated the effectiveness of app‐based mobile interventions for improving nutrition behaviours or nutrition‐related health outcomes and met all four eligibility criteria. These 41 studies were then included in the systematic review and quantitative meta‐analysis.…”

Section: Resultsmentioning

confidence: 99%

“…Of the 41 studies, 29 included an app‐based assessment of the total nutrition intake, nine an assessment of specific foods such as vegetables or specific food consumption patterns (eg, adherence to specific guideline‐based recommendations), one assessed meal replacements, and two did not provide further information . Twenty one of the 32 studies that provided information about the features implemented for nutrition assessment included a database that participants could search to select the food items and meals they had consumed.…”

Section: Resultsmentioning

confidence: 99%

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The effectiveness of app‐based mobile interventions on nutrition behaviours and nutrition‐related health outcomes: A systematic review and meta‐analysis

et al. 2019

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SummaryA systematic review and meta‐analysis were conducted to assess the effectiveness of app‐based mobile interventions for improving nutrition behaviours and nutrition‐related health outcomes, including obesity indices (eg, body mass index [BMI]) and clinical parameters (eg, blood lipids). Seven databases were searched for studies published between 2006 and 2017. Forty‐one of 10 132 identified records were included, comprising 6348 participants and 373 outcomes with sample sizes ranging from 10 to 833, including 27 randomized controlled trials (RCTs). A beneficial effect of app‐based mobile interventions was identified for improving nutrition behaviours (g = 0.19; CI, 0.06‐0.32, P = .004) and nutrition‐related health outcomes (g = 0.23; CI, 0.11‐0.36, P < .001), including positive effects on obesity indices (g = 0.30; CI, 0.15‐0.45, P < .001), blood pressure (g = 0.21; CI, 0.01‐0.42, P = .043), and blood lipids (g = 0.15; CI, 0.03‐0.28, P = .018). Most interventions were composed of four behaviour change technique (BCT) clusters, namely, “goals/planning,” “feedback/monitoring,” “shaping knowledge,” and “social support.” Moderating effects including study design, type of app (commercial/research app), sample characteristics (clinical/non‐clinical sample), and intervention characteristics were not statistically significant. The inclusion of additional treatment components besides the app or the number or type of BCTs implemented did not moderate the observed effectiveness, which underscores the potential of app‐based mobile interventions for implementing effective and feasible interventions operating at scale for fighting the obesity epidemic in a broad spectrum of the population.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

The effectiveness of app‐based mobile interventions on nutrition behaviours and nutrition‐related health outcomes: A systematic review and meta‐analysis

et al. 2019

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“…In a multiple regression analysis, Sherifali et al 31 reported non-significant effects of website login frequency and lesson unit completion on a 1-year weight loss (controlling for age and gender). Finally, in a structural equation analysis, Kim et al 32 reported that increased group participation and food logging frequency were predicted in a 6-month weight loss.…”

Section: Discussionmentioning

confidence: 99%

Engagement and outcomes in a digital Diabetes Prevention Program: 3-year update

Sepah

Jiang

Ellis³

et al. 2017

BMJ Open Diab Res Care

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ObjectiveTranslations of the Diabetes Prevention Program (DPP) have proliferated in recent years, with increasing expansion to digital formats. Although these DPP translations have consistently shown favorable clinical outcomes, long-term data for digital formats are limited. This study’s objective was to examine clinical outcomes up to 3 years post-baseline and the relationship between program engagement and clinical outcomes in a digital DPP.Research design and methodsIn a single-arm, non-randomized trial, 220 patients previously diagnosed with prediabetes were enrolled in the Omada Health Program, a commercially available, 16-week DPP-based weight loss intervention followed by an ongoing weight maintenance intervention. Changes in body weight and A1c were assessed annually. Relationships between program engagement during the first year and clinical outcomes across 3 years were examined.ResultsParticipants were socioeconomically diverse (62% women, 50.2% non-Hispanic white, 51.7% college educated or higher). From baseline to 3 years, those participants who completed four or more lessons and nine or more lessons achieved significant sustained weight loss (–3.0% and –2.9%, respectively) and an absolute reduction in A1c (–0.31 and –0.33, respectively) with an average remission from the prediabetes range to the normal glycemic range. Factor analysis of engagement metrics during the first year revealed two underlying dimensions, one comprising lesson completion and health behavior tracking consistency, and the other comprising website logins and group participation. When these two factors were used to predict weight loss, only the logins and group participation factor was a significant predictor of weight loss at 16 weeks and 1 year.ConclusionsThis study demonstrates significant long-term reductions in body weight and A1c in a digital DPP and identifies patterns of program engagement that predict weight loss.

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“…Support for the efficacy of mHealth apps is provided across various weight management outcomes. Food logging frequency, 37 dietary restraint, eating concern, 38 eating goal awareness, 30 and intention to increase fruit and vegetable consumption 39 were found to increase following app use. On the other hand, overeating, 23 craving, 23 and eating disorder symptoms 38 were shown to decrease.…”

Section: Nonrandomized Studiesmentioning

confidence: 92%

Mobile Health Applications in Weight Management: A Systematic Literature Review

Dounavi

Tsoumani

2019

American Journal of Preventive Medicine

120

124

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Context: Weight management is an effective strategy for controlling chronic disease and maintaining physical health, and research on this topic has risen dramatically over the past four decades. The present systematic literature review aimed to identify existing evidence on the efficacy of mobile health technology in facilitating weight management behaviors, such as healthy food consumption and physical activity. Evidence acquisition: A systematic search was conducted in Ovid MEDLINE and Ovid Psy-cINFO databases with the aim to identify studies published in peer-reviewed journal articles between 2012 and 2017. Evidence synthesis: A total of 39 studies were analyzed in spring 2018 and are presented here in terms of participant characteristics, effective technology components, additional treatments, impact on health-related behaviors, and treatment efficacy. Indicators of study quality and social validity are also provided. Conclusions: Mobile health apps are widely considered as satisfactory, easy to use, and helpful in the pursuit of weight loss goals by patients. The potential of mobile health apps in facilitating weight loss lies in their ability to increase treatment adherence through strategies such as self-monitoring. These findings indicate that satisfactory treatment adherence and consequent weight loss and maintenance are achieved in the presence of high levels of engagement with a mobile health app. The research quality assessment of RCTs reveals a great need for following international standards both when conducting and reporting research.

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Mobile But Connected: Harnessing the Power of Self-Efficacy and Group Support for Weight Loss Success through mHealth Intervention

Cited by 47 publications

References 42 publications

The effectiveness of app‐based mobile interventions on nutrition behaviours and nutrition‐related health outcomes: A systematic review and meta‐analysis

The effectiveness of app‐based mobile interventions on nutrition behaviours and nutrition‐related health outcomes: A systematic review and meta‐analysis

Engagement and outcomes in a digital Diabetes Prevention Program: 3-year update

Mobile Health Applications in Weight Management: A Systematic Literature Review

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