Self‐Monitoring via Digital Health in Weight Loss Interventions: A Systematic Review Among Adults with Overweight or Obesity

Patel, Michele L.; Wakayama, Lindsay N.; Bennett, Gary G.

doi:10.1002/oby.23088

Cited by 114 publications

(107 citation statements)

References 87 publications

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“…However, wearable activity trackers alone may not be sufficient to achieve the expected lifestyle changes [22], so their inclusion in mHealth multicomponent obesity interventions, which appears to be more effective than app interventions alone [23], could be a beneficial strategy to obtain positive results in diet, physical activity, or other health variables [24,25]. In addition, self-monitoring in digital health interventions is associated with greater weight loss [26], so the use of both approaches could produce better weight outcomes. Despite these promising results, the evidence for long-term efficacy is still limited, revealing that more evidence of effectiveness over long follow-up periods is required [27].…”

Section: Mobile Healthmentioning

confidence: 99%

Long-term Effectiveness of a Smartphone App Combined With a Smart Band on Weight Loss, Physical Activity, and Caloric Intake in a Population With Overweight and Obesity (Evident 3 Study): Randomized Controlled Trial

et al. 2022

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Background Multicomponent mobile health approaches can improve lifestyle intervention results, although little is known about their long-term effectiveness. Objective This study aims to evaluate the long-term effectiveness (12 months) of a multicomponent mobile health intervention—combining a smartphone app, an activity tracker wristband, and brief counseling, compared with a brief counseling group only—on weight loss and improving body composition, physical activity, and caloric intake in Spanish sedentary adults with overweight or obesity. Methods We conducted a randomized controlled, multicenter clinical trial (Evident 3). A total of 650 participants were recruited from 5 primary care centers, with 318 participants in the intervention group (IG) and 332 in the control group (CG). All participants were briefly counseled about a healthy diet and physical activity at the baseline visit. For the 3-month intervention period, the IG received training to use the app to promote healthy lifestyles and the smart band (Mi Band 2, Xiaomi). All measurements were performed at baseline and at 3 and 12 months. Physical activity was measured using the International Physical Activity Questionnaire–Short Form. Nutritional habits were assessed using the Food Frequency Questionnaire and Adherence to Mediterranean diet questionnaire. Results Of the 650 participants included, 563 (86.6%) completed the 3-month visit and 443 (68.2%) completed the 12-month visit. After 12 months, the IG showed net differences in weight (−0.26, 95% CI −1.21 to 0.70 kg; P=.02), BMI (−0.06, 95% CI −0.41 to 0.28 points; P=.01), waist-height ratio (−0.25, 95% CI −0.94 to 0.44; P=.03), body adiposity index (−0.33, 95% CI −0.77 to 0.11; P=.03), waist circumference (−0.48, 95% CI −1.62 to 0.66 cm, P=.04) and hip circumference (−0.69, 95% CI –1.62 to 0.25 cm; P=.03). Both groups lowered daily caloric intake and increased adherence to the Mediterranean diet, with no differences between the groups. The IG increased light physical activity time (32.6, 95% CI −30.3 to 95.04 min/week; P=.02) compared with the CG. Analyses by subgroup showed changes in body composition variables in women, people aged >50 years, and married people. Conclusions The low-intensity intervention of the Evident 3 study showed, in the IG, benefits in weight loss, some body composition variables, and time spent in light physical activity compared with the CG at 3 months, but once the devices were collected, the downward trend was not maintained at the 12-month follow-up. No differences in nutritional outcomes were observed between the groups. Trial Registration ClinicalTrials.gov NCT03175614; https://clinicaltrials.gov/ct2/show/NCT03175614 International Registered Report Identifier (IRRID) RR2-10.1097/MD.0000000000009633

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Section: Mobile Healthmentioning

confidence: 99%

Long-term Effectiveness of a Smartphone App Combined With a Smart Band on Weight Loss, Physical Activity, and Caloric Intake in a Population With Overweight and Obesity (Evident 3 Study): Randomized Controlled Trial

et al. 2022

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“…Self-monitoring of diet and physical activity provides an effective behaviour change technique for weight management [ 79 ] and is a core component of behavioural obesity treatment [ 80 ]. It has been demonstrated that dietary self-monitoring itself and the frequency of self-monitoring is linked to weight loss [ 81 ]. Furthermore, self-monitoring tends to positively impact weight loss when combined with other self-regulation techniques, such as goal setting and feedback [ 82 , 83 , 84 ].…”

Section: Treatment Approachesmentioning

confidence: 99%

“…Furthermore, self-monitoring tends to positively impact weight loss when combined with other self-regulation techniques, such as goal setting and feedback [ 82 , 83 , 84 ]. Engagement rates for self-monitoring diet were higher in digital than in paper-based self-monitoring [ 81 , 85 ].…”

Section: Treatment Approachesmentioning

confidence: 99%

Nutrition Concepts for the Treatment of Obesity in Adults

Wiechert

Holzapfel

2021

Nutrients

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Obesity caused by a positive energy balance is a serious health burden. Studies have shown that obesity is the major risk factor for many diseases like type 2 diabetes mellitus, coronary heart diseases, or various types of cancer. Therefore, the prevention and treatment of increased body weight are key. Different evidence-based treatment approaches considering weight history, body mass index (BMI) category, and co-morbidities are available: lifestyle intervention, formula diet, drugs, and bariatric surgery. For all treatment approaches, behaviour change techniques, reduction in energy intake, and increasing energy expenditure are required. Self-monitoring of diet and physical activity provides an effective behaviour change technique for weight management. Digital tools increase engagement rates for self-monitoring and have the potential to improve weight management. The objective of this narrative review is to summarize current available treatment approaches for obesity, to provide a selective overview of nutrition trends, and to give a scientific viewpoint for various nutrition concepts for weight loss.

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“…Many of the traditional commercial weight loss companies (i.e., WW, Jenny Craig, and Nutrisystem), 1 , 12 , 13 as well as newer companies (i.e., Noom), 6 now offer both telehealth and mHealth apps, some of which have been demonstrated to foster behavioral change and promote weight loss. 1 , 6 Although, telehealth and mHealth app‐based approaches to treat obesity are in their infancy, 8 they are quickly evolving and transforming the essential modalities for obesity treatments, including medical nutrition therapy (MNT), 14 self‐monitoring weight loss tools, 15 , 16 promotion of physical activity, 17 , 18 and intensive behavioral therapy (IBT). 19 For example, just‐in‐time adaptive interventions (JITAIs), 20 which utilize technology that dynamically adjusts intervention approaches based on an individuals' changing behaviors in real‐time, have been shown to diminish sedentary behaviors and increase physical activity in individuals with obesity.…”

Section: Telehealth and Mhealth For Obesity Treatmentmentioning

confidence: 99%

Success and failures of telehealth during COVID‐19 should inform digital applications to combat obesity

Vasselli

Juray

Trasino

2021

Obesity Science & Practice

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Background In response to the COVID‐19 pandemic, telehealth digital applications (apps) permitted the delivery of health care to millions of individuals, including those with poor access to health services. Aim To review a body of evidence demonstrating that telehealth and mobile health (mHealth) apps can promote clinically meaningful weight loss, and thus hold potential to increase access to treatment and weight loss care for individuals suffering from obesity. Results Data from COVID‐19 pandemic revealed that access to telehealth and mHealth remains a challenge for underserved communities that are disproportionately affected by obesity. Conclusions The development of telehealth and mHealth for obesity treatment must be informed by the success and failures of telehealth during the COVID‐19 pandemic. Failure to do so, risks alienating the very populations that stand most to benefit from telehealth and mHealth apps for obesity treatment.

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Self‐Monitoring via Digital Health in Weight Loss Interventions: A Systematic Review Among Adults with Overweight or Obesity

Cited by 114 publications

References 87 publications

Long-term Effectiveness of a Smartphone App Combined With a Smart Band on Weight Loss, Physical Activity, and Caloric Intake in a Population With Overweight and Obesity (Evident 3 Study): Randomized Controlled Trial

Long-term Effectiveness of a Smartphone App Combined With a Smart Band on Weight Loss, Physical Activity, and Caloric Intake in a Population With Overweight and Obesity (Evident 3 Study): Randomized Controlled Trial

Nutrition Concepts for the Treatment of Obesity in Adults

Success and failures of telehealth during COVID‐19 should inform digital applications to combat obesity

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