eHealth interventions for the prevention and treatment of overweight and obesity in adults: a systematic review with meta-analysis

Automated Behavioral Workplace Intervention to Prevent Weight Gain and Improve Diet: The ChooseWell 365 Randomized Clinical Trial

IMPORTANCE

Personalized interventions that leverage workplace data and environments could improve effectiveness, sustainability, and scalability of employee wellness programs.

OBJECTIVE

To test an automated behavioral intervention to prevent weight gain and improve diet using employee cafeteria purchasing data.

DESIGN, SETTING, AND PARTICIPANTS

This individual-level randomized clinical trial of a 12-month intervention with 12 months of follow-up was conducted among employees of a hospital in Boston, Massachusetts, who purchased food at on-site cafeterias that used traffic-light labels (ie, green indicates healthy; yellow, less healthy; red, unhealthy). Participants were enrolled September 2016 to February 2018. Data were analyzed from May to September 2020.

INTERVENTIONS

For 12 months, participants in the intervention group received 2 emails per week with feedback on previous cafeteria purchases and personalized health and lifestyle tips and 1 letter per month with peer comparisons and financial incentives for healthier purchases. Emails and letters were automatically generated using survey, health, and cafeteria data. Control group participants received 1 letter per month with general healthy lifestyle information.

MAIN OUTCOMES AND MEASURES

The main outcome was change in weight from baseline to 12 months and 24 months of follow-up. Secondary outcomes included changes in cafeteria purchases, including proportion of green- and red-labeled purchases and calories purchased per day, from baseline (12 months preintervention) to the intervention (months 1-12) and follow-up (months 13-24) periods. Baseline Healthy Eating Index-15 (HEI-15) scores were compared to HEI-15 scores at 6, 12, and 24 months.

RESULTS

Among 602 employees enrolled (mean [SD] age, 43.6 [12.2] years; 478 [79.4%] women), 299 were randomized to the intervention group and 303 were randomized to the control group. Baseline mean (SD) body mass index (BMI; calculated as weight in kilograms divided by height in meters squared) was 28.3 (6.6) and HEI-15 score was 60.4 (12.4). There were no between-group differences in weight change at 12 (0.2 [95% CI, -0.6 to 1.0] kg) or 24 (0.6 [95% CI, -0.3 to 1.4] kg) months. Compared with baseline, the intervention group increased green-labeled purchases by 7.3% (95% CI, 5.4% to 9.3%) and decreased red-labeled purchases by 3.9% (95% CI, -5.0% to -2.7%) and calories purchased per day by 49.5 (95% CI, -75.2 to -23.9) kcal more than the control group during the intervention period. In the intervention group, differences in changes in green (4.8% [95% CI, 2.9% to 6.8%]) and red purchases (-3.1% [95% CI, -4.3% to -2.0%]) were sustained at the 24-month follow-up. Differences in changes in HEI-15 scores were not significantly different in the intervention compared with the control group at 6 (2.2 [95% CI, 0 to 4.4]), 12 (1.8 [95% CI, -0.6 to 4.1]), and 24 (1.6, 95% CI, -0.7 to 3.8]) months.

CONCLUSIONS AND RELEVANCE

The findings of this randomized clinical trial suggest that an automated behavioral intervention using workplace cafeteria data improved employees' food choices but did not prevent weight gain over 2 years.

TRIAL REGISTRATION

ClinicalTrials.gov Identifier: NCT02660086.

Clinical management and treatment of obesity in China

China has one of the largest populations with obesity in the world, and obesity has become a major challenge for the country's health-care system. Current guidelines for obesity management are not adequately supported by evidence from clinical studies in Chinese populations. Effective lifestyle interventions suitable for Chinese populations are scarce, insufficient weight-loss medications have been approved by regulatory bodies, and there is low acceptance of non-lifestyle interventions (ie, medications and surgery) among both health-care providers and the general public. Large, well designed, and well implemented clinical trials are needed to strengthen the evidence base for the clinical management of obesity in China. Obesity management can be improved through use of a tiered system involving health management centres, integrated lifestyle interventions and medical treatments, strengthened obesity education and training, and use of advanced electronic health technologies. Resource mobilisation, support from major stakeholders for people with overweight or obesity, and education and changes to social norms among the wider public are also needed. National health policies should prioritise both obesity prevention and improvement of the treatment and management of obesity.

Estimates of future cancer mortality attributable to modifiable risk factors in Canada

OBJECTIVES

Modifiable lifestyle, environmental, and infectious risk factors associated with cancer impact both cancer incidence and mortality at the population level. Most studies estimating this burden focus on cancer incidence. However, because these risk factors are associated with cancers of disparate mortality rates, the burden associated with cancer incidence could differ from cancer mortality. Therefore, estimating the cancer mortality attributable to these risk factors provides additional insight into cancer prevention. Here, we estimated future cancer deaths and the number of avoidable deaths in Canada due to modifiable risk factors.

METHODS

The projected cancer mortality data came from OncoSim, a web-based microsimulation tool. These data were applied to the methodological framework that we previously used to estimate the population attributable risks and the potential impact fractions of modifiable risk factors on Canadian cancer incidence.

RESULTS

We estimated that most cancer deaths will be attributed to tobacco smoking with an average of 27,900 deaths annually from 2024 to 2047. If Canada's current trends in excess body weight continue, cancer deaths attributable to excess body weight would double from 2786 deaths in 2024 to 5604 deaths in 2047, becoming the second leading modifiable cause of cancer death. Applying targets to reduce these risk factors, up to 34,600 cancer deaths could be prevented from 2024 to 2047.

CONCLUSION

Our simulated results complement our previous findings on the cancer incidence burden since decreasing the overall burden of cancer will be accelerated through a combination of decreasing cancer incidence and improving survival outcomes through improved treatments.

Evidence-Based Digital Tools for Weight Loss Maintenance: The NoHoW Project

BACKGROUND

Effective interventions and commercial programmes for weight loss (WL) are widely available, but most people regain weight. Few effective WL maintenance (WLM) solutions exist. The most promising evidence-based behaviour change techniques for WLM are self-monitoring, goal setting, action planning and control, building self-efficacy, and techniques that promote autonomous motivation (e.g., provide choice). Stress management and emotion regulation techniques show potential for prevention of relapse and weight regain. Digital technologies (including networked-wireless tracking technologies, online tools and smartphone apps, multimedia resources, and internet-based support) offer attractive tools for teaching and supporting long-term behaviour change techniques. However, many digital offerings for weight management tend not to include evidence-based content and the evidence base is still limited. The Project: First, the project examined why, when, and how many European citizens make WL and WLM attempts and how successful they are. Second, the project employed the most up-to-date behavioural science research to develop a digital toolkit for WLM based on 2 key conditions, i.e., self-management (self-regulation and motivation) of behaviour and self-management of emotional responses for WLM. Then, the NoHoW trial tested the efficacy of this digital toolkit in adults who achieved clinically significant (≥5%) WL in the previous 12 months (initial BMI ≥25). The primary outcome was change in weight (kg) at 12 months from baseline. Secondary outcomes included biological, psychological, and behavioural moderators and mediators of long-term energy balance (EB) behaviours, and user experience, acceptability, and cost-effectiveness.

IMPACT

The project will directly feed results from studies on European consumer behaviour, design and evaluation of digital toolkits self-management of EB behaviours into development of new products and services for WLM and digital health. The project has developed a framework and digital architecture for interventions in the context of EB tracking and will generate results that will help inform the next generation of personalised interventions for effective self-management of weight and health.

eHealth interventions for reducing cardiovascular disease risk in men: A systematic review and meta-analysis

Men remain at a higher risk of developing cardiovascular disease (CVD) than women and behavioral risk factor modification is an important preventive measure. However, engaging men in behavior change interventions is challenging. Although men often indicate a preference for gender-specific information and support, this rarely occurs. eHealth interventions have the potential to address this gap, though their effectiveness for reducing CVD risk in men is unclear. Therefore, the aim of this systematic review and meta-analysis was to evaluate the effectiveness of eHealth interventions for reducing CVD risk in men. A search of published randomised controlled trials with no date restrictions up to July 2020 was conducted to identify those targeting at least two major CVD risk factors. Nine trials were identified and reviewed. Study quality ranged from low to unclear, with one trial at a high risk of bias. Compared to those in a control group or receiving printed materials, participants randomised to an eHealth intervention had statistically significant improvements in BMI (Z=-2.75, p=0.01), body weight (Z=-3.25, p=0.01), waist circumference (Z=-2.30, p=0.02) and systolic (Z=-3.57, p=0.01) and diastolic (Z=-3.56, p=0.01) blood pressure. Though less evident, there were also improvements in physical activity and diet in favour of the intervention group. This review suggests that eHealth interventions can reduce CVD risk in adult men through behavior change. However, we were unable to determine the association between intervention characteristics and outcomes. Also, overall, participant adherence to the intervention was poor. Both of these issues should be considered in future studies.

Telemedicine Intervention to Improve Long-Term Risk Factor Control and Body Composition in Persons with High Cardiovascular Risk: Results from a Randomized Trial: Telehealth strategies may offer an advantage over standard institutional based interventions for improvement of cardiovascular risk in high-risk patients long-term

Background

Telehealth strategies are increasingly used to support people at high cardiovascular risk long-term, but is it unclear if these interventions are effective at improving cardiovascular risk.

Objective

To evaluate the effects of a telemedicine technology-based program on risk factor control and body composition in patients at high cardiovascular risk.

Methods

This is a population based randomized controlled trial. 100 patients at high and very high cardiovascular risk were randomly assigned to a telemedicine technology-based program consisting of: Comprehensive counseling on risk factors delivered by a physician; biweekly remote support via phone delivered by a trained nurse during the first three months after enrollment; and a control group receiving routine care with individual single-session counseling on patients' current risk factors without further support. The follow-up period was 1 year.

Results

Mean age of participants was 59.9 ± 4.5 years, 80% were women. Weight (-0.582; p < 0.001), waist circumference (-0.429; p = 0.01), body mass index (-0.216; p < 0.001) diastolic blood pressure (-0.881; p = 0.04), total cholesterol (-0.149; p = 0.01) and LDL cholesterol (-0.123; p = 0.003) were lower in the intervention group compared to the control group after 12-month. Body fat mass was also lower (-0.352; p = 0.01) and lean mass was higher (0.92; p = 0.03) in the intervention group. Anxiety scores (-2.5; p < 0.002) and depression scores (-2.6; p < 0.001) were also lower in the intervention group.

Conclusions

Among older people at high cardiovascular risk, the addition of telehealth strategies using remote support by phone calls over a period of 3 month resulted in small but significant improvements of cardiovascular risk factors, body composition, anxiety, and depression which are maintained long-term. Such telehealth strategies may offer an advantage over standard institution-based interventions.

Patients with Severe Obesity during the COVID-19 Pandemic: How to Maintain an Adequate Multidisciplinary Nutritional Rehabilitation Program?

BACKGROUND

The COVID-19 pandemic is spreading all over the world, particularly in developed countries where obesity is also widespread. There is a high frequency of increased BMI in patients admitted to intensive care for SARS-CoV-2 infection with a major severity in patients with an excess of visceral adiposity. Patients at risk of severe SARS-CoV-2 acute respiratory syndrome are characterised by the high prevalence of pre-existing diseases (high blood pressure and cardiovascular disease, diabetes, chronic respiratory disease, or cancer), most of them typically present in severely obese patients. Indeed, the biological role of adipose tissue in sustaining SARS-CoV-2 infection is not completely elucidated.

SUMMARY

The forced isolation due to pandemic containment measures abruptly interrupted the rehabilitation programs to which many patients with severe obesity were enrolled. People affected by obesity, and especially those with severe obesity, should continue clinical rehabilitation programs, taking extra measures to avoid COVID-19 infection and reinforcing the adoption of preventive procedures. In this review, the available data on obesity and COVID-19 are discussed along with evidence-based strategies for maintaining the necessary continuous rehabilitation programs. Key Messages: Greater attention is needed for obese and severely obese patients in the face of the current COVID-19 pandemic, which represents a huge challenge for both patients and healthcare professionals. The adoption of new strategies to guarantee adequate and continuous multidisciplinary nutritional rehabilitation programs will be crucial to control the severity of SARS-CoV-2 infection in high-risk populations as well as the worsening of obesity-linked complications. Health authorities should be urged to equip hospitals with tools for the diffusion of telemedicine to maintain physician-patient communication, which is fundamental in chronic and complicated obese patients.

Intérêt d’outils digitaux dans le maintien d’un parcours de soins obésité dans le contexte épidémique Covid-19. Retour de l’expérimentation article 51 Espace Médical Nutrition et Obésité

L’épidémie de Covid-19, au-delà de mettre en évidence l’obésité comme facteur pronostique important, modifie grandement la prise en charge de cette maladie chronique. L’expérimentation article 51 Espace médical nutrition et obésité (EMNO) a dû intégrer des outils numériques pour maintenir les parcours de soins. Cette démarche a également été enrichie par l’apport d’un outil d’éducation thérapeutique digital. L’ensemble du processus de prise en charge a ainsi été réalisé malgré la situation, avec un retour très positif des patients inclus dans l’expérimentation. En contexte épidémique, le maintien des parcours de soins d’une maladie chronique comme l’obésité peut ainsi être assuré avec l’apport du numérique tout en dépassant le simple cadre de la téléconsultation et du suivi en y associant une approche pédagogique digitale.

Patient Use of Cardiovascular Devices and Apps: Are We Getting Our Money's Worth?

The evolution of technology makes it likely that a large number of people will invest in and use health-related mobile applications and wearable devices. Yet the question remains: Do these technology-based interventions modify health behavior and improve health…and are we getting our money's worth? The vast majority of studies concerning health-related apps and wearable devices have small sample sizes and short time spans of 6 months or less, so it is not clear if these durations were determined by lack of consistent use over time. Furthermore, many of the most popular applications have not been subjected to randomized trials. Overall, the small demonstrated improvements in outcomes are often associated with professional involvement from clinicians, coaches, or diabetes educators provided in conjunction with use of mobile health (mHealth) platforms. This paper explores the use of mHealth technologies that address cardiovascular disease/prevention (eg, diabetes, diet, physical activity, and associated weight loss) and discusses the lack of adequate evidence to support even minimal patient investment in mobile applications or wearable devices at this time.

Sustaining weight loss among adults with obesity using a digital meal planning and food purchasing platform for 12, 24, and 36 months: a longitudinal study

Background

Previous studies have shown that lifestyle changes, such as diet and exercise, can lead to weight loss, resulting in dramatic improvements in overall health and chronic disease risk. However, while many traditional dieting, food tracking and weight loss coaching programs result in short-term weight loss, there is less evidence of their effectiveness on sustaining weight loss over time.

Methods

We conducted a retrospective analysis of 1,740 adults with obesity who used Foodsmart, a digital personalized dietary assessment, meal planning and food purchasing platform. Participants reported age, gender, at least three measures of weight, and their diet using a food frequency questionnaire. We defined sustained weight loss as participants who lost 5 % of initial weight between their first and second reported weights and lost weight or maintained weight between second and third reported weights. A healthy eating score, Nutriscore, was calculated to assess overall diet quality. We used multivariate logistic regression models to examine the association between user characteristics and odds of sustained weight loss.

Results

Over a median of 25 months, the mean (standard deviation) change in weight among participants was − 6.2 (19.8) pounds. In total, 39.3 % (684/1,740) of participants lost at least 5 % of their initial weight, and 22.4 % percent (389/1,740) of participants sustained weight loss. In the fully-adjusted logistic regression model, we found that obesity class 2 (odds ratio, OR: 1.69, 95 % confidence interval, CI: 1.27–2.24, P < 0.001), obesity class 3 (OR: 2.23, 95 % CI: 1.68–2.97, P < 0.001), baseline diet quality (OR: 1.06, 95 % CI: 1.02–1.09, P < 0.001), and greater change in diet quality (OR: 1.10, 95 % CI: 1.07–1.14, P < 0.001) were significantly associated with sustained weight loss.

Conclusions

This study characterized and demonstrated the utility of Foodsmart, a digital platform that gives personalized nutrition recommendations and meal planning tools, in sustained weight reduction among users with obesity.

Feasibility and acceptability of a technology-based, rural weight management intervention in older adults with obesity

BACKGROUND

Older adults with obesity residing in rural areas have reduced access to weight management programs. We determined the feasibility, acceptability and preliminary outcomes of an integrated technology-based health promotion intervention in rural-living, older adults using remote monitoring and synchronous video-based technology.

METHODS

A 6-month, non-randomized, non-blinded, single-arm study was conducted from October 2018 to May 2020 at a community-based aging center of adults aged ≥65 years with a body mass index (BMI) ≥30 kg/m2. Weekly dietitian visits focusing on behavior therapy and caloric restriction and twice-weekly physical therapist-led group strength, flexibility and balance training classes were delivered using video-conferencing to participants in their homes. Participants used a Fitbit Alta HR for remote monitoring with data feedback provided by the interventionists. An aerobic activity prescription was provided and monitored.

RESULTS

Mean age was 72.9±3.9 years (82% female). Baseline anthropometric measures of weight, BMI, and waist circumference were 97.8±16.3 kg, 36.5±5.2 kg/m2, and 115.5±13.0 cm, respectively. A total of 142 participants were screened (n=27 ineligible), and 53 consented. There were nine dropouts (17%). Overall satisfaction with the trial (4.7+ 0.6, scale: 1 (low) to 5 (high)) and with Fitbit (4.2+ 0.9) were high. Fitbit was worn an average of 81.7±19.3% of intervention days. In completers, mean weight loss was 4.6±3.5 kg or 4.7±3.5% (p< 0.001). Physical function measures of 30-s sit-to-stand repetitions increased from 13.5±5.7 to 16.7±5.9 (p< 0.001), 6-min walk improved by 42.0±77.3 m (p=0.005) but no differences were observed in gait speed or grip strength. Subjective measures of late-life function improved (3.4±4.7 points, p< 0.001).

CONCLUSIONS

A technology-based obesity intervention is feasible and acceptable to older adults with obesity and may lead to weight loss and improved physical function.

CLINICAL TRIAL REGISTRATION

Registered on Clinicaltrials.gov # NCT03104205 . Registered on April 7, 2017. First participant enrolled on October 1st, 2018.

The effect of a web-based psychoeducation on emotional functioning, eating behaviors, and body image among premenopausal women with excess body weight

The aims of this study were twofold: (1) to investigate the effectiveness of web-based psychoeducation for emotional functioning, eating behaviors, and body image among premenopausal women with excess body weight, and (2) to compare the efficacy of two types of web-based psychoeducation. Three hundred individuals were asked to volunteer in the present study. All participants were recruited in Poland from September 2017 to July 2019. Finally, a total of 129 premenopausal women took part in the research and signed informed consent. Their ages ranged between 18 and 48 years old (M = 32.28, SD = 7.65). Self-reported weight and height were recorded. BMI was calculated using self-reported data. Their average body mass index was 30.54 kg/m² (SD = 3.69). In our randomized experiment, the participants were allocated into three groups: experimental group I (EG I, N = 43), experimental group II (EG II, N = 46), and wait list control group (CG, N = 40). Five questionnaires were included in the online survey at the baseline measurement (Day 0), at the end of psychoeducational intervention (Day 16) and 75 days from the start of the 15-day intervention (Day 76). Measurement tools included the Difficulties in Emotion Regulation Scale, the Positive and Negative Affect Schedule, the Mindful Eating Scale, the Three-Factor Eating Questionnaire, and the Body Attitude Test. Our eHealth web-based psychoeducation consisted of three modules: emotional functioning module (EG I: theoretically consistent approach (TCA) vs EG II: eclectic approach; EA), eating behaviors module (EG I, EG II: based on mindfulness-based eating training; MET), body image module (EG I, EG II: based on Cash's prevention of body image disturbances; CPBID). The first experimental group (EG I) had intervention containing TCA, MET, and CPBID, while the second experimental group (EG II) EA, MET, and CPBID. According to between-group comparison, both types of web-based psychoeducation led to an increase in adaptive emotion regulation (Day 16: EG I vs CG: p < 0.001, EG II vs CG: p < 0.001; Day 76: EG I vs CG: p < 0.01, EG II vs CG: p < 0.001). In EG I, the intervention resulted in a higher reduction (than in CG) in emotional eating (Day 16: p < 0.01, Day 76: p < 0.01), uncontrolled eating (Day 16: p < 0.05, Day 76: p < 0.05), and negative appreciation of body size (Day 16: p < 0.01, Day 76: p < 0.01). In EG II, a lower level of emotional eating was found on Day 76 (EG II vs CG: p < 0.05). Two months after completion of the 15-day intervention, no statistically significant reduction for BMI was observed in either experimental group (p > 0.05). The effectiveness of both types of web-based psychoeducation was also confirmed in within-group comparison (Day 0 vs Day 16 and Day 0 vs Day 76). There was a significant increase in emotion regulation and mindful eating, as well as a decrease in emotional eating, uncontrolled eating, negative appreciation of body size, lack of familiarity with one's body, and the experiencing of negative emotions in both experimental groups (EG I, EG II). Both types of web-based psychoeducation might have to be considered in creating future web-based psychoeducation among premenopausal women with excess body weight.

Use of Technology-Based Interventions in the Treatment of Patients with Overweight and Obesity: A Systematic Review

Introduction: Obesity is one of the most important health problems worldwide. The prevalence of obesity has increased dramatically in the last decades and is now recognized as a global epidemic. Given the dramatic consequences of obesity, new intervention approaches based on the potential of technologies have been developed. Methods: We conducted a systematic review of studies using PubMed, ScienceDirect, Cochrane Library, and MedLine databases to assess how different types of technologies may play an important role on weight loss in obese patients. Results: Forty-seven studies using different types of technologies including smartphones, app, websites, virtual reality and personal digital assistant were included in the review. About half of interventions (47%) found a significant effect of the technology-based interventions for weight lost in obese patients. The provision of feedback could also be effective as a complement to interventions carried out using technology to promote weight loss. Conclusions: The use of technologies can be effective to increase weight loss in patients with obesity improving treatment adherence through self-monitoring.

Theory-based digital intervention to promote weight loss and weight loss maintenance (Choosing Health): protocol for a randomised controlled trial

INTRODUCTION

Digital behavioural weight loss interventions have the potential to improve public health; however, these interventions are often not adequately tailored to the needs of the participants. This is the protocol for a trial that aims to determine the effectiveness and cost-effectiveness of the Choosing Health programme as a means to promote weight loss and weight loss maintenance among overweight/obese adults.

METHODS AND ANALYSIS

The proposed study is a two-group randomised controlled trial with a nested interrupted time series (ITS) within-person design. Participants (n=285) will be randomly assigned to either the Choosing Health digital intervention or a control group. For intervention participants, ecological momentary assessment will be used to identify behavioural determinants for each individual in order to tailor evidence-based behaviour change techniques and intervention content.Control group participants will receive non-tailored weight loss advice via e-book and generic emails. The primary outcome is the mean difference in weight loss between groups at 6 months controlled for baseline. Secondary outcomes include blood pressure and percentage of body fat; self-reported measures of physical activity, sitting time, quality of life, cost and theory-derived correlates of weight loss. Secondary outcomes will be measured at baseline, 3, 6 and 12 months. The primary outcome for ITS will be daily weight loss plan adherence. Data will be analysed using regression and time series analyses.

ETHICS AND DISSEMINATION

Ethics approval was granted by Faculty of Psychology, SWPS University of Social Sciences and Humanities, Wroclaw, Poland, approval number 03/P/12/2019. The project results will be disseminated through structured strategy implemented in collaboration with the Ministry of Health.

TRIAL REGISTRATION DETAILS

This trial was registered with www.clinicaltrials.gov; registration number NCT04291482.

Usability and utility of eHealth for physical activity counselling in primary health care: a scoping review

Background

Physical activity (PA) counselling is an effective approach to promote PA in primary health care (PHC). Barriers to PA counselling in PHC include time constraints, lack of knowledge and skills of providers, and systemic barriers. Using electronic health (eHealth) has the potential to promote PA. This scoping review aimed to identify usability and utility of eHealth for tailored PA counselling introduced in PHC settings.

Methods

A scoping review included primary research articles. The authors systematically searched six databases (Cochrane Library, CINAHL Complete, Embase, PubMed, Scopus and Web of Science) from the inception of the databases. The search terms consisted of three search components: intervention (PA counselling), platform (eHealth), and setting (PHC). Additional articles were included through reference lists. The inclusion criteria were research or original articles with any study designs in adult participants.

Results

Of 2501 articles after duplicate removal, 2471 articles were excluded based on the title and abstract screening and full text review. A total of 30 articles were included for synthesis. The eHealth tools had a wide range of counselling domains as a stand-alone PA domain and multiple health behaviours. The included articles presented mixed findings of usability and utility of eHealth for PA counselling among patients and providers in PHC settings. Technical problems and the complexity of the programmes were highlighted as barriers to usability. The majority of articles reported effective utility, however, several articles stated unfavourable outcomes.

Conclusions

eHealth has the potential to support PA counselling in PHC. Facilitators and barriers to eHealth usability should be considered and adapted to particular settings and contexts. The utility of eHealth for promoting PA among patients should be based on the pragmatic basis to optimise resources.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12875-020-01304-9.

Can you see me? Participant experience of accessing a weight management programme via group videoconference to overcome barriers to engagement

Background

Engagement with conventional weight management group programmes is low.

Objective

To understand participant experience of accessing an adapted programme via videoconference.

Participants

Adults with obesity (BMI ≥ 35kg/m²), referred to an NHS Dietetics service in Wales, were offered a group videoconference weight management programme as an optional alternative to in‐person groups. Thirteen participants (mean age 48.5 ± 20.2 years, 8 female) recruited to two videoconference groups were interviewed.

Study design

A Registered Dietitian delivered a behavioural programme using Skype for Business in 10 sessions over 6 months. Participants joined the groups from any Internet‐connected device with a webcam. Participant perspectives were audiorecorded in one‐to‐one, semi‐structured interviews. Interviews were transcribed verbatim and thematically analysed using self‐determination theory as a theoretical framework.

Results

Ten themes were identified, three relating to service engagement and seven relating to behaviour change facilitation. Key themes in engagement included ‘reduced burden’, described as saving time and travel and ‘reduced threat’ as participants perceived joining a group from home as less daunting compared to attending in‐person. Despite reporting some initial technical difficulties with establishing video and audio connection, participants described beneficial peer support although not physically with other group members.

Conclusion

Accessing a group weight management programme via videoconference may be the preferred option for some participants, overcoming some of the barriers to access to standard in‐person programmes, particularly in rural areas. Participants are able to experience peer support via videoconference. During the COVID‐19 pandemic, weight management programmes could utilize videoconference groups to continue to provide support.

What do young women with obesity want from a weight management program?

PURPOSE

Early adulthood is a high-risk time for weight gain; however, young women with obesity are difficult to recruit to weight management programs. To encourage participation and retention, it is important to understand what young women want from these programs. The purpose of the study was to explore participants' perspectives on the features of an ideal weight management program.

METHODS

Semi-structured interview schedules were used to elicit information from eight focus groups [27 women; mean age of 29.1 (± 5.1) years, mean body mass index (BMI; kg/m²) of 35.8 (± 2.9)]. The focus groups were transcribed, coded and analyzed qualitatively.

RESULTS

The themes that emerged were program content, format, program characteristics, program name, location and duration. A major finding from the study is that participants value a program that includes nutritional, psychological and lifestyle interventions, and includes components that are not traditionally part of weight management programs such as body acceptance, sexual health and dressing and grooming. A program name that conveys wellness and body positivity was valued. Participants highlighted the importance of individualized programs that are also tailored to the needs of young adults, and delivered by credible and approachable staff who provide accountability. Cost-effectiveness, flexibility, accessibility, time-commitment were important considerations and the use of a combination of virtual and in-person methods (including group interventions) appealed to this cohort.

CONCLUSION

Knowledge of program features which resonate with young women facilitates development of innovative ways to engage and support evidence-based weight management in this vulnerable group.

LEVEL OF EVIDENCE

V.

Feasibility and acceptability of a televideo physical activity and nutrition program for recent kidney transplant recipients

Background

Post-transplant weight gain affects 50-90% of kidney transplant recipients adversely affecting survival, quality of life, and risk for diabetes and cardiovascular disease. Diet modification and physical activity may help prevent post-transplant weight gain. Methods for effective implementation of these lifestyle modifications are needed. The objective of this study is to assess the feasibility and acceptability of a remotely delivered nutrition and physical activity intervention among kidney transplant recipients. Secondary aims were to estimate the effectiveness of the intervention in producing changes in physical activity, qualify of life, fruit and vegetable intake, and consumption of whole grains and water from baseline to 6 months.

Methods

A randomized controlled study for stable kidney transplant recipients between 6 and 12 months post-transplantation was conducted. Participants were randomly assigned 1:1 to a technology-based, lifestyle modification program (intervention) or to enhanced usual care (control).

Results

The first 10 kidney transplant recipients screened were eligible and randomized into the intervention and control groups with no significant between-group differences at baseline. Health coaching attendance (78%) and adherence to reporting healthy behaviors (86%) were high. All participants returned for final assessments. The weight in controls remained stable, while the intervention arm showed weight gain at 3 and 6 months. Improvements were found for physical activity, quality of life, and fruit and vegetable intake in both groups. All participants would recommend the program to other transplant recipients.

Conclusions

Our data suggest that a remotely delivered televideo nutrition and physical activity intervention is feasible and valued by patients. These findings will aid in the development of a larger, more prescriptive, randomized trial to address weight gain prevention.

Trial registration

Clinicaltrials.gov Identifier NCT03697317. Retrospectively registered on October 5, 2018.

Effectiveness of a web-based real-life weight management program: Study design, methods, and participants' baseline characteristics

Obesity is an important public health concern with limited effective treatment options. Internet-based technologies offer a cost-effective means to treat obesity. However, most of the online programs have been of short duration, have focused on a limited number of treatment modalities, and have not utilized the potential of coaching as part of the intervention. In this paper, we present the design, methods and participants’ baseline characteristics in a real-life internet-based weight management program. Healthy Weight Coaching (HWC) is a 12-month web-based intervention for the management of obesity. The program is based on the Acceptance and Commitment Therapy and includes themes important for weight loss, including diet, physical activity, psychological factors, and sleep. In addition to the automated, interactive program, a personal coach is allocated to each participant. The participants are nationally enrolled through referrals from primary care, occupational health, hospitals, and private health care units. Adult individuals with BMI ≥25 kg/m² without severe complications are included. On a weekly basis, participants submit their weight logs, training sessions, and lifestyle targets to the internet portal and are scheduled to have online discussions with their coaches 26 times over the course of a year. Questionnaires on lifestyle, diet, physical activity, psychological factors, sleep, and quality of life are completed at baseline, 3, 6, 9, and 12 months, and thereafter yearly until 5 years. Additionally, log data on the use of the service and discussions with the coach are collected. The main outcome is weight change from baseline to 12 months. Recruitment to the HWC is ongoing. Baseline data of the participants recruited between Oct 2016 and Mar 2019 (n = 1189) are provided. This research will bring insight into how internet-based technologies can be implemented in the virtual management of obesity.

Trial registration

The trial is registered at clinicaltrials.cov (Clinical Trials Identifier NCT04019249).

Efficacy of a Multi-component m-Health Weight-loss Intervention in Overweight and Obese Adults: A Randomised Controlled Trial

BACKGROUND

This study compared the efficacy of two multi-component m-health interventions with a wait-list control group on body weight (primary outcome), and secondary outcomes of cardiovascular risk factors, lifestyle behaviours, and mental health.

METHODS

Three-arm randomised controlled trial (Enhanced: physical activity, diet, sleep, Traditional: physical activity, diet, Control) with assessments conducted at baseline, 6 and 12 months. Participants (n = 116) were overweight or obese adults aged 19-65 (M = 44.5 [SD = 10.5]). The 6-month intervention was delivered via a smartphone app providing educational materials, goal-setting, self-monitoring and feedback, and also included one face-to-face dietary consultation, a Fitbit and scales. The trial was prospectively registered and conducted between May 2017 and September 2018. Group differences on primary and secondary outcomes were examined between the Pooled Intervention groups (Pooled Intervention = Enhanced and Traditional) and Control groups, and then between Enhanced and Traditional groups.

RESULTS

Nineteen participants (16.4%) formally withdrew from the trial. Compared with the Control group, average body weight of the Pooled Intervention group did not differ at 6 (between-group difference = -0.92, (95% CI -3.33, 1.48)) or 12 months (0.00, (95% CI -2.62, 2.62)). Compared with the Control group, the Pooled Intervention group significantly increased resistance training (OR = 7.83, (95% CI 1.08, 56.63)) and reduced energy intake at 6 months (-1037.03, (-2028.84, -45.22)), and improved insomnia symptoms at 12 months (-2.59, (-4.79, -0.39)). Compared with the Traditional group, the Enhanced group had increased waist circumferences (2.69, (0.20, 5.18)) and sedentary time at 6 months (105.66, (30.83, 180.48)), and improved bed time variability at 12 months (-1.08, (-1.86, -0.29)). No other significant differences were observed between groups.

CONCLUSIONS

Relative to Controls, the Pooled Intervention groups did not differ on body weight but improved resistance training, and reduced energy intake and insomnia symptom severity. No additional weight loss was apparent when targeting improvements in physical activity, diet and sleep in combination compared with physical activity and diet.

Telemedicine in the OECD: An umbrella review of clinical and cost-effectiveness, patient experience and implementation

Introduction

Patients and policy makers alike have high expectations for the use of digital technologies as tools to improve health care service quality at a sustainable cost. Many countries within the Organisation for Economic Co-operation and Development (OECD) are investing in telemedicine initiatives, and a large and growing body of peer-reviewed studies on the topic has developed, as a consequence. Nonetheless, telemedicine is still not used at scale within the OECD. Seeking to provide a snapshot of the evidence on the use of telemedicine in the OECD, this umbrella review of systematic reviews summarizes findings on four areas of policy relevance: clinical and cost-effectiveness, patient experience, and implementation.

Methods

This review followed a prior written, unregistered protocol. Four databases (PubMed/Medline, CRD, and Cochrane Library) were searched for systematic reviews or meta-analyses published between January 2014 and February 2019. Based on the inclusion criteria, 98 systematic reviews were selected for analysis. Due to substantial heterogeneity, a meta-analysis was not conducted. The quality of included reviews was assessed using the AMSTAR 2 tool.

Results

Most reviews (n = 53) focused on effectiveness, followed by cost-effectiveness (n = 18), implementation (n = 17) and patient experience (n = 15). Eighty-three percent of clinical effectiveness reviews found telemedicine at least as effective as face-to-face care, and thirty-nine percent of cost-effectivenss reviews found telemedicine to be cost saving or cost-effective. Patients reported high acceptance of telemedicine and the most common barriers to implementation were usability and lack of reimbursement. However, the methodological quality of most reviews was low to critically low which limits generalizability and applicability of findings.

Conclusion

This umbrella review finds that telemedicine interventions can improve glycemic control in diabetic patients; reduce mortality and hospitalization due to chronic heart failure; help patients manage pain and increase their physical activity; improve mental health, diet quality and nutrition; and reduce exacerbations associated with respiratory diseases like asthma. In certain disease and specialty areas, telemedicine may be a less effective way to deliver care. While there is evidence that telemedicine can be cost-effective, generalizability is hindered by poor quality and reporting standards. This umbrella review also finds that patients report high levels of acceptance and satisfaction with telemedicine interventions, but that important barriers to wider use remain.

Use of mobile applications to improve nutrition behaviour: A systematic review

BACKGROUND AND OBJECTIVE

Mobile applications could be effectively used for dietary intake assessment, physical activity monitoring, behavior improvement, and nutrition education. The aim of this review is to determine the effectiveness of mobile applications in improving nutrition behaviors through a systematic review of literature.

METHODS

The review protocol was registered with PROSPERO: registration number CRD42018118809, and followed PRISMA guidelines. We involved original articles including mobile electronic devices for improving dietary intake, physical activity, and weight management in adult populations in this review. Data were retrieved from January 2010 to December 2018 with PubMed, Web of Science, Excerpta Medica Database (Embase), and Cumulative Index to Nursing and Allied Health Literature (CINAHL) as data sources. Authors individually screened the titles and abstracts, then full articles in order to obtain papers that met inclusion criteria.

RESULTS

The database search yielded 2962 records. After removing the duplicates and analyzing the full text papers a total of 8 original articles were reviewed. Two articles showed obvious bias and were not included in our results or discussion. The remaining six articles with low to moderate bias risk were included in this systematic review. Three selected studies were randomized control trials (RCTs) with over 180 participants each. The other three studies were a nested trial, a case-control trial, and a pilot RCT with 36, 162, and 24 participants respectively. All larger RCTs and the small case control trail showed significant improvements in some nutritional-health objectives measured. The other two trials showed insignificant improvements in outcomes measured between groups.

CONCLUSION

This study highlights the potential significant health benefits acquirable through mobile health application-assisted nutrition interventions. Some of these studies required significant financial and time input from providers for the application's utilization. Further studies, perhaps with multiple intervention arms, are required to compare across programs the elements that are essential for health benefits observed.

Implementation Strategies for Web-Based Apps for Screening: Scoping Review

Background

Screening is an effective primary prevention strategy in health care, as it enables the early detection of diseases. However, the uptake of such screening remains low. Different delivery methods for screening have been developed and found to be effective in increasing the uptake of screening, including the use of web-based apps. Studies have shown that web-based apps for screening are effective in increasing the uptake of health screening among the general population. However, not much is known about the effective implementation of such web-based apps in the real-world setting. Implementation strategies are theory-based methods or techniques used to enhance the adoption, implementation, and sustainability of evidence-based interventions. Implementation strategies are important, as they allow us to understand how to implement an evidence-based intervention. Therefore, a scoping review to identify the various implementation strategies for web-based apps for screening is warranted.

Objective

This scoping review aims to identify (1) strategies used to implement web-based apps for health screening, (2) frameworks used for implementing web-based apps for health screening, (3) outcome measures of implementation strategies, and (4) effective implementation strategies.

Methods

This scoping review was conducted based on Arksey and O’Malley’s framework. After identifying the review question, two researchers independently screened and selected relevant literature from PubMed, Embase, Cochrane, Cumulative Index of Nursing and Allied Health Literature, PsycINFO, International Standard Randomised Controlled Trial Number Registry, OpenGrey, ClinicalTrials.gov, World Health Organization International Clinical Trials Registry Platform, and Web of Science. This was followed by charting the data using a standardized form. Finally, we collated, summarized, and reported the results quantitatively and qualitatively based on the review objectives.

Results

A total of 16,476 studies were retrieved, of which 5669 were duplicates. From a total of 10,807 studies, 10,784 studies were excluded based on their titles and abstracts. There were 23 full-text articles reviewed, and 4 articles were included in the final analysis. Many studies were excluded because they focused on the effectiveness and not on the implementation of web-based apps. Facilitation was the most cited implementation strategy used, followed by reminders, clinical champions, and educational meetings and materials. Only 2 studies used implementation frameworks to guide the evaluation of their studies. Common outcome measures for implementation strategies were feasibility, fidelity, and penetration. Implementation strategies reported to be effective were quality improvement meetings, facilitation, educational meetings, and clinical champions.

Conclusions

There is a dearth of literature on the implementation of web-based apps for health screening. Implementation strategies were developed without any reported use of implementation theories or frameworks in most studies. More research on the development and evaluation of web-based screening app implementations is needed.

Exclusively Digital Health Interventions Targeting Diet, Physical Activity, and Weight Gain in Pregnant Women: Systematic Review and Meta-Analysis

BACKGROUND

Interventions to promote a healthy diet, physical activity, and weight management during pregnancy are increasingly embracing digital technologies. Although some interventions have combined digital with interpersonal (face-to-face or telephone) delivery, others have relied exclusively on digital delivery. Exclusively digital interventions have the advantages of greater cost-effectiveness and broader reach and as such can be a valuable resource for health care providers.

OBJECTIVE

This systematic review aims to focus on exclusively digital interventions to determine their effectiveness, identify behavior change techniques (BCTs), and investigate user engagement.

METHODS

A total of 6 databases (Medical Literature Analysis and Retrieval System Online [MEDLINE], Excerpta Medica dataBASE [EMBASE], PsycINFO, Cumulated Index to Nursing and Allied Health Literature [CINAHL] Plus, Web of Science, and ProQuest) were searched for randomized controlled trials or pilot control trials of exclusively digital interventions to encourage healthy eating, physical activity, or appropriate weight gain during pregnancy. The outcome measures were gestational weight gain (GWG) and changes in physical activity and dietary behaviors. Study quality was assessed using the Cochrane Risk of Bias tool 2.0. Where possible, pooled effect sizes were calculated using a random effects meta-analysis.

RESULTS

In total, 11 studies met the inclusion criteria. The risk of bias was mostly high (n=5) or moderate (n=3). Of the 11 studies, 6 reported on GWG as the primary outcome, 4 of which also measured changes in physical activity and dietary behaviors, and 5 studies focused either on dietary behaviors only (n=2) or physical activity only (n=3). The meta-analyses showed no significant benefit of interventions on total GWG for either intention-to-treat data (-0.28 kg; 95% CI -1.43 to 0.87) or per-protocol data (-0.65 kg; 95% CI -1.98 to 0.67). Substantial heterogeneity in outcome measures of change in dietary behaviors and physical activity precluded further meta-analyses. BCT coding identified 7 BCTs that were common to all effective interventions. Effective interventions averaged over twice as many BCTs from the goals and planning, and feedback and monitoring domains as ineffective interventions. Data from the 6 studies reporting on user engagement indicated a positive association between high engagement with key BCTs and greater intervention effectiveness. Interventions using proactive messaging and feedback appeared to have higher levels of engagement.

CONCLUSIONS

In contrast to interpersonal interventions, there is little evidence of the effectiveness of exclusively digital interventions to encourage a healthy diet, physical activity, or weight management during pregnancy. In this review, effective interventions used proactive messaging, such as reminders to engage in BCTs, feedback on progress, or tips, suggesting that interactivity may drive engagement and lead to greater effectiveness. Given the benefits of cost and reach of digital interventions, further research is needed to understand how to use advancing technologies to enhance user engagement and improve effectiveness.

[Digital interventions in prevention and health promotion: What kind of evidence do we have and what is needed?]

Digital technologies increasingly affect our daily lives and interact with our living environment. A high potential for prevention and health promotion is referred to digital interventions. So far, however, there is a lack of well-founded evidence on the effectiveness of such measures. This paper will address the challenges of evidence-based digital interventions in prevention and health promotion. The results are summarised in the form of a narrative review.So far, evidence-based medicine methods have not been sufficiently used in the evaluation of benefits and harms in the field of prevention and health promotion. The reasons for this are found in the complexity of the corresponding measures. This complexity is further increased by digital interventions. Nevertheless, it is urgently recommended to place a stronger focus on evidence-based interventions in order to enable meaningful and comprehensible evaluation procedures with regard to the effectiveness of digital interventions in prevention and health promotion.Digitalisation leads to new demands on prevention and health promotion. A critical perspective on the actual impact of digital interventions and their social implications is needed. The development of a solid knowledge base is necessary in order to promote acceptance of the technologies and to achieve sustainable implementation.

Dietitians Australia position statement on telehealth

It is the position of Dietitians Australia that clients can receive high‐quality and effective dietetic services such as Medical Nutrition Therapy (MNT) delivered via telehealth. Outcomes of telehealth‐delivered dietetic consultations are comparable to those delivered in‐person, without requiring higher levels of additional training nor compromising quality of service provision. Dietitians Australia recommends that policy makers and healthcare funders broaden the recognition for telehealth‐delivered dietetic consultations as a responsive and cost‐effective alternative or complement to traditional in‐person delivery of dietetic services. The successful implementation of telehealth can help to address health and service inequalities, improve access to effective nutrition services, and support people with chronic disease to optimise their diet‐related health and well‐being, regardless of their location, income or literacy level, thereby addressing current inequities.

A descriptive study on dietary pattern and biophysical profile among Saudi female dental students

Objective The current study aims to find out the dietary pattern among undergraduate dental students and evaluate its impact on their biophysical profile and academic achievement. Methods A convenient sample of 150 Saudi female dental students was selected as study participants, and a close-ended questionnaire divided into two parts was distributed among them.The questionnaire included questions on their eating habits, body mass index (BMI), waist-hip ratio (WHR), and blood pressure. The collected data was statistically analyzed using SPSS version 19, and the chi-square test, correlation analysis, and descriptive statistics were performed. Results It was observed that a majority (40%) of the study participants replaces their meals with snacks, and 26% did not take regular meals.The results reveal a significant association between blood pressure, BMI, and WHR among University female students. No significant association has been found between grade-point-average (GPA) and dietary pattern. Conclusions The study concluded that the majority of university female students consumed unhealthy diets such as snacks. Fruit intake was lower than the recommended amount by World Health Organisation (WHO). Conducting appropriate nutrition related-public health programs would be beneficial in raising awareness regarding different aspects of dietary habits.

Agreement and Reliability of Clinician-in-Clinic Versus Patient-at-Home Clinical and Functional Assessments: Implications for Telehealth Services

Objective

To compare agreement and reliability between clinician-measured and patient self-measured clinical and functional assessments for use in remote monitoring, in a home-based setting, using telehealth.

Design

Reliability study: repeated-measure, within-subject design.

Setting

Trained clinicians measured standard clinical and functional parameters at a face-to-face clinic appointment. Participants were instructed on how to perform the measures at home and to repeat self-assessments within 1 week.

Participants

Liver transplant recipients (LTRs) (N=18) (52±14y, 56% men, 5.4±4.3y posttransplant] completed the home self-assessments.

Interventions

Not applicable.

Main Outcome Measures

The outcomes assessed were body weight, systolic and diastolic blood pressure (SBP and DBP), waist circumference, repeated chair sit-to-stand (STST), maximal push-ups, and the 6-minute walk test (6MWT). Intertester reliability and agreement between face-to-face clinician and self-reported home-based participant measures were determined by intraclass-correlation coefficients (ICCs) and Bland-Altman plots, which were compared with minimal clinically important differences (MCID) (determined a priori).

Results

The mean difference (95% confidence interval) and [limits of agreement] for measures (where positive values indicate lower participant value) were weight, 0.7 (0.01-1.4) kg [−2.2 to 3.6kg]; waist 0.4 (−1.2 to 2.0) cm [−5.9 to 6.8cm]; SBP 7.7 (0.6-14.7 ) mmHg [−19.4 to 34.9mmHg]; DBP 2.4 (−1.4 to 6.2 ) mmHg [−12.2 to 17.0mmHg]; 6MWT, 7.5 (−29.1 to 44.1) m [−127.3 to 142.4m]; STST 0.5 (−0.8 to 1.7) seconds [−4.3 to 5.3s]; maximal push-ups −2.2 (−4.4 to −0.1) [−10.5 to 6.0]. ICCs were all >0.75 except for STST (ICC=0.73). Mean differences indicated good agreement than MCIDs; however, wide limits of agreement indicated large individual variability in agreement.

Conclusions

Overall, LTRs can reliably self-assess clinical and functional measures at home. However, there was wide individual variability in accuracy and agreement, with no functional assessment being performed within acceptable limits relative to MCIDs >80% of the time.

Wearable Technology and How This Can Be Implemented into Clinical Practice

PURPOSE OF REVIEW

Our day-to-day life is saturated with health data that was previously out of reach. Over the last decade, new devices and fitness technology companies are attempting to tap into this data, uncovering a treasure trove of useful information that, when applied correctly, has the potential to revolutionize the way we approach healthcare and chronic conditions like asthma, especially in the wake of the COVID-19 pandemic.

RECENT FINDINGS

By harnessing exciting developments in personalization, digitization, wellness, and patient engagement, care providers can improve health outcomes for our patients in a way we have never been able to do in the past. While new technologies to capture individual health metrics are everywhere, how can we use this information to make a real difference in our patients' lives? Navigating the complicated landscape of personal wearable devices, asthma inhaler sensors, and exercise apps can be daunting to even the most tech savvy physician. This manuscript will give you the tools necessary to make lasting changes in your patients' lives by exposing them to a world of usable, affordable, and relatable health technology that resonates with their personal fitness and wellness goals. These tools will be even more important post-COVID-19, as the landscape of clinical outpatient care changes from mainly in-person visits to a greater reliance on telemedicine and remote monitoring.

A Mobile Health Intervention System for Women With Coronary Heart Disease: Usability Study

Background

Coronary heart disease (CHD) is the leading cause of death and disability among American women. The prevalence of CHD is expected to increase by more than 40% by 2035. In 2015, the estimated cost of caring for patients with CHD was US $182 billion in the United States; hospitalizations accounted for more than half of the costs. Compared with men, women with CHD or those who have undergone coronary revascularization have up to 30% more rehospitalizations within 30 days and up to 1 year. Center-based cardiac rehabilitation is the gold standard of care after an acute coronary event, but few women attend these valuable programs. Effective home-based interventions for improving cardiovascular health among women with CHD are vital for addressing this gap in care.

Objective

The ubiquity of mobile phones has made mobile health (mHealth) behavioral interventions a viable option to improve healthy behaviors of both women and men with CHD. First, this study aimed to examine the usability of a prototypic mHealth intervention designed specifically for women with CHD (herein referred to as HerBeat). Second, we examined the influence of HerBeat on selected health behaviors (self-efficacy for diet, exercise, and managing chronic illness) and psychological (perceived stress and depressive symptoms) characteristics of the participants.

Methods

Using a single-group, pretest, posttest design, 10 women participated in the 12-week usability study. Participants were provided a smartphone and a smartwatch on which the HerBeat app was installed. Using a web portal dashboard, a health coach monitored participants’ ecological momentary assessment data, their behavioral data, and their heart rate and step count. Participants then completed a 12-week follow-up assessment.

Results

All 10 women (age: mean 64.4 years, SD 6.3 years) completed the study. The usability and acceptability of HerBeat were good, with a mean system usability score of 83.60 (SD 16.3). The participants demonstrated statistically significant improvements in waist circumference (P=.048), weight (P=.02), and BMI (P=.01). Furthermore, depressive symptoms, measured with the Patient Health Questionnaire-9, significantly improved from baseline (P=.04).

Conclusions

The mHealth prototype was feasible and usable for women with CHD. Participants provided data that were useful for further development of HerBeat. The mHealth intervention is expected to help women with CHD self-manage their health behaviors. A randomized controlled trial is needed to further verify the findings.

The efficacy of electronic health interventions targeting improved sleep for achieving prevention of weight gain in adolescents and young to middle-aged adults: A systematic review

Sleep is emerging as a modifiable risk factor in counteracting harmful weight gain. Electronic and mobile devices offer a channel for wide-reaching intervention delivery. This systematic review aimed to determine the efficacy of interventions that included sleep behaviour as part of health promotion for preventing weight gain. Seven databases were searched from 1 January 2000 until 28 June 2019. Eligible studies were controlled trials of weight gain prevention programs that addressed sleep in healthy participants aged 13 to 44 years of age. The primary outcome was change in measured or self-reported weight. From 824 publications located, only six eligible trials with a total of 3,277 participants were identified and all addressed multiple behaviours. One study demonstrated a decrease in weight for the intervention group, and two other studies showed a decreased prevalence of overweight and obesity. Only one trial showed improved sleep duration but failed to show differences in weight. No definitive conclusions concerning the efficacy of electronic weight gain prevention interventions that include sleep can be made, but future trials should provide more detail about intervention techniques used, employ objective sleep and physical activity measures and undertake mediation analysis to judge the contributions of changes in sleep to study outcomes. PROSPERO REGISTRATION: CRD42019121879.

Why young women gain weight: A narrative review of influencing factors and possible solutions

Significant weight gain occurs in women during young adulthood, which increases risk of diseases such as diabetes, cardiovascular disease, and many cancers. This review aims to inform future individually targeted weight gain prevention programmes and summarizes possible targets: key life events, mediators that influence energy intake and physical activity levels, and moderators that could identify groups of women at greatest risk. Life events affecting weight include pregnancy and motherhood, smoking cessation, marriage and cohabiting, attending university, and possibly bereavement. Research has identified successful methods for preventing weight gain associated with pregnancy and motherhood, which could now be used in practice, but evidence is inconclusive for preventing weight gain around other life events. Weight gain is mediated by lack of knowledge and skills around food and nutrition, depression, anxiety, stress, satiety, neural responses, and possibly sleep patterns and premenstrual cravings. A paucity of research exists into altering these to limit weight gain. Moderators include socioeconomic status, genetics, personality traits, and eating styles. More research is required to identify at-risk females and engage them in weight gain prevention. There is a need to address evidence gaps highlighted and implement what is currently known to develop effective strategies to limit weight gain in young women.

Mobile health (m‐health) smartphone interventions for overweight or obese adolescents and adults

This is a protocol for a Cochrane Review (intervention). The objectives are as follows:

To assess the effects of smartphone‐based m‐health interventions for overweight or obese adolescents and adults.

Technology's role in promoting physical activity and healthy eating in working rural women: A cross-sectional quantitative analysis

AIMS

This exploratory study evaluated sociodemographic predictors of healthy eating and physical activity (PA) in a sample of working rural women and their access to and interest in using technology for health promotion.

SETTINGS AND DESIGN

This study is a cross-sectional quantitative analysis.

MATERIALS AND METHODS

A 32-item questionnaire was administered to a convenience sample of N = 60 women, working at a regional healthcare facility in the Pacific Northwest.

STATISTICAL ANALYSIS

Descriptive statistics characterized PA and healthy eating, barriers and support for PA and healthy eating, and perceived role of technology for health promotion. Chi-square tests for categorical variables evaluated relationships between PA and healthy eating support with behavioral engagement.

RESULTS

Only 23% and 25% followed recommended PA and fruit and vegetable consumption guidelines. Those likely to engage in preventive care had higher income and education. Fewer respondents reported barriers to PA than for healthy eating (47% vs. 57%), and those reporting barriers were likely to have lower income and less than a high-school education. Sixty percent reported social support for PA and only 52% for healthy eating. A significant relationship was evident between PA support and PA engagement (P = 0.015). Eighty-two percent used mobile phones to look up health information and 29% did so daily. Almost two-thirds (62%) reported likelihood of using online health information boards to support healthy eating and 45% for PA.

CONCLUSION

Working rural women benefit from PA and healthy eating guidance. Attention to sociodemographic predictors may support a tailored digital healthcare approach to promote wellness in this community.

Dyadic Psychosocial eHealth Interventions: Systematic Scoping Review

BACKGROUND

Dyadic psychosocial interventions have been found beneficial both for people coping with mental or physical health conditions as well as their family members and friends who provide them with support. Delivering these interventions via electronic health (eHealth) may help increase their scalability.

OBJECTIVE

This scoping review aimed to provide the first comprehensive overview of dyadic eHealth interventions for individuals of all ages affected by mental or physical illness and their family members or friends who support them. The goal was to understand how dyadic eHealth interventions have been used and to highlight areas of research needed to advance dyadic eHealth intervention development and dissemination.

METHODS

A comprehensive electronic literature search of PubMed, EMBASE, Cochrane, Cumulative Index to Nursing and Allied Health Literature, and PsycINFO was conducted for articles published in the English language through March 2019. Eligible records described a psychosocial eHealth intervention that intervened with both care recipients and their support person.

RESULTS

A total of 7113 records were reviewed of which 101 met eligibility criteria. There were 52 unique dyadic eHealth interventions identified, which were tested across 73 different trials. Of the unique interventions, 33 were conducted among dyads of children and their supporting parent, 1 was conducted with an adolescent-young adult care recipient population, and the remaining 18 were conducted among adult dyads. Interventions targeting pediatric dyads most commonly addressed a mental health condition (n=10); interventions targeting adult dyads most commonly addressed cancer (n=9). More than three-fourths of interventions (n=40) required some human support from research staff or clinicians. Most studies (n=64) specified one or more primary outcomes for care recipients, whereas less than one-fourth (n=22) specified primary outcomes for support persons. Where specified, primary outcomes were most commonly self-reported psychosocial or health factors for both care recipients (n=43) and support persons (n=18). Results of the dyadic eHealth intervention tended to be positive for care recipients, but evidence of effects for support persons was limited because of few studies specifying primary outcomes for supporters. Trials of dyadic eHealth interventions were most commonly randomized controlled trials (RCTs; n=44), and RCTs most commonly compared the dyadic eHealth intervention to usual care alone (n=22).

CONCLUSIONS

This first comprehensive review of dyadic eHealth interventions demonstrates that there is substantial, diverse, and growing literature supporting this interventional approach. However, several significant gaps were identified. Few studies were designed to evaluate the unique effects of dyadic interventions relative to individual interventions. There was also limited assessment and reporting of outcomes for support persons, and there were no interventions meeting our eligibility criteria specifically targeting the needs of older adult dyads. Findings highlight areas of research opportunities for developing dyadic eHealth interventions for novel populations and for increasing access to dyadic care.

Personalised eHealth interventions in adults with overweight and obesity: A systematic review and meta-analysis of randomised controlled trials

Given that many existing electronic health (eHealth) interventions with a general approach have limited effects, a personalised approach is necessary. We aimed to evaluate the effectiveness of personalised eHealth interventions in reducing body weight and identify the effective key features of such interventions. We searched seven databases for randomised controlled trials (RCTs) from inception until September 6, 2018. Of the 26,733 records identified, 15 RCTs were included. Meta-analysis revealed a significant reduction (-2.77 kg, 95% confidence interval - 3.54 to -2.00 kg) in the personalised eHealth intervention group compared with that in the control group (Z = -7.04, p < .001). The duration of the interventions ranged from 14 weeks and three trials had follow-up assessments at 6 and 12 months. Our subgroup analyses highlighted several crucial design elements of future personalised eHealth interventions by utilising a combination of tailored content and customised feedback with human feedback, usage of theoretical basis, short message service, device, reminder, self-monitoring, goal setting and synchronous communication for 12 to 14 weeks. Egger's regression asymmetry test suggested no evidence of publication bias (p = .458). Using meta-regression we found evidence that a statistically significant impact of age and year of publication on the effectiveness of intervention. The overall evidence grade of outcomes ranged from very low to low, hence future trials should use well-designed RCTs.

DIAL now protocol: A randomized trial examining the provision of phone coaching to those with sub-optimal early weight loss during an Internet weight management program

BACKGROUND

While low-intensity Internet-delivered weight loss (IDWL) programs are efficacious, many patients fail to achieve clinically significant weight loss (WL). Given the positive association between 4-week and post-treatment WL, providing a more intensive intervention for those with sub-optimal 4-week WL may improve outcomes for a greater proportion of individuals. This stepped-care approach would minimize cost by reserving more aggressive treatment for those with sub-optimal early WL.

OBJECTIVE

This randomized trial examines whether the provision of brief or extended phone coaching for those with sub-optimal early WL improves 4- and 12-month WL when compared to no coaching. Secondary aims include examination of cost/kg WL and intervention engagement.

METHODS

450 individuals (age 18-70 years, BMI: 25-45 kg/m2) will be randomized to: 1) IDWL+3 weeks of coaching ('Brief'), 2) IDWL+12 weeks of coaching ('Extended'), or 3) IDWL only ('Control'). All individuals will receive a 4-month IDWL program followed by an 8-month IDWL maintenance program. At week 4, individuals will be classified as early sub-optimal responders (<4% WL) or initial responders (≥4% WL). Individuals with sub-optimal early WL randomized to 'Brief' or 'Extended' will receive 3 and 12 weeks of phone coaching respectively, starting at week 5. Those with sub-optimal early WL randomized to 'Control', and initial responders will not receive any coaching. Assessments will occur at 4 and 12 months.

DISCUSSION

Study findings can inform the development of more effective IDWL programs. This model which provides additional support to those with sub-optimal early WL can easily be translated into healthcare and community settings.

Protocol for the feasibility and acceptability of a brief routine weight management intervention for postnatal women embedded within the national child immunisation programme: randomised controlled cluster feasibility trial with nested qualitative study (PIMMS-WL)

INTRODUCTION

On average women retain 5 to 9 kg 1 year after giving birth which can increase the risk of later obesity and chronic diseases. Some previous trials in this population have been effective in reducing weight, but are too intensive and costly to deliver at scale. There is a need for low-cost interventions to facilitate weight loss in this population.

METHODS AND ANALYSIS

The primary aim is to assess the feasibility of delivering a weight management intervention for overweight/obese postnatal women within child immunisation appointments. We will conduct a randomised controlled cluster feasibility trial with a nested qualitative study to assess study recruitment and acceptability of the intervention. General practitioner practice (cluster) will be the unit of randomisation, with practices randomised to offer usual care plus the intervention or usual care only. Eighty women will be recruited. The intervention group will be offered brief support that encourages self-management of weight when attending child immunisation appointments. Practice nurses will encourage women to weigh themselves weekly and record this, and to make healthy lifestyle choices through using an online weight management programme. Women will be advised to aim for 0.5 to 1 kg/week weight loss. At each child immunisation the nurse will assess progress by weighing women. The comparator group will receive a healthy lifestyle leaflet. Data on weight, body fat, depression, anxiety, body image, eating behaviours and physical activity will be collected at baseline and follow-up. Women and nurses will be interviewed to ascertain their views about the intervention. The decision to proceed to the phase III trial will be based on prespecified stop-go criteria.

ETHICS AND DISSEMINATION

Data will be stored securely at the University of Birmingham. Results will be disseminated through academic publications and presentations and will inform a possible phase III trial. The National Research Ethics Committee approved the study protocol.

TRIAL REGISTRATION NUMBER

ISRCTN12209332.

The impact of pairing a wearable movement tracker with an online community weight loss intervention

Evidence supports the use of technology supported multicomponent interventions for promoting weight loss. Many such programs include the opportunity to synchronously pair commercially available physical activity trackers (PA-T) with a goal to enhance weight loss outcomes. However, little is known about the reach and effectiveness of allowing participants to pair a PA-T within an existing online program.

PURPOSE

This matched cohort, quasi-experimental study aimed to determine 1) the proportion of participants that pair a PA-T to the existing program, 2) the representativeness of participants who pair a PA-T; 3) the relationship between pairing a PA-T, overall weight loss, and the likelihood of achieving a clinically meaningful weight loss; and 4) if pairing a PA-T with program participation is related to weight loss outcomes independently or collectively when considering other indices of program engagement.

METHODS

Data collected over a four-year period included demographic self-report, objective weight data uploaded when participants weighed themselves at a self-serve program kiosk available to the community, and program engagement data (e.g., logins to program website). A range of analyses, including descriptive proportions, analyses of variance, and path analyses, were used to address the purposes of the study.

RESULTS

Participants who paired a PA-T were more likely to be women (p<.001), African American (p<.001), and have a higher BMI (p<.05). Those who paired a PA-T lost on average an extra 1% body weight and were 1.4 times more likely to lose 5% body weight. Pairing a PA-T was related to other indices of online program engagement and both directly and indirectly contributed to weight loss outcomes (p<.05).

CONCLUSIONS

Pairing a PA-T within an online weight loss program appeals to groups that experience disparities related to obesity and predicts improvements in weight loss. More translational studies are needed to examine the role of personal psychosocial and environmental factors that may enhance or diminish the benefit of pairing a PA-T to evidence-based, online weight loss programs.

Push Notifications From a Mobile App to Improve the Body Composition of Overweight or Obese Women: Randomized Controlled Trial

Background

Technology—in particular, access to the Internet from a mobile device—has forever changed the way we relate to others and how we behave in our daily life settings. In recent years, studies have been carried out to analyze the effectiveness of different actions via mobile phone in the field of health: telephone calls, short message service (SMS), telemedicine, and, more recently, the use of push notifications. We have continued to explore ways to increase user interaction with mobile apps, one of the pending subjects in the area of mHealth. By analyzing the data produced by subjects during a clinical trial, we were able to extract behavior patterns and, according to them, design effective protocols in weight loss programs.

Objective

A clinical trial was proposed to (1) evaluate the efficacy of push notifications in an intervention aimed at improving the body composition of adult women who are overweight or obese, through a dietary procedure, and (2) analyze the evolution of body composition based on push notifications and prescribed physical activity (PA).

Methods

A two-arm randomized controlled trial was carried out. A sample size of 117 adult obese women attended a face-to-face, 30-minute consultation once a week for 6 months. All patients were supplied with an app designed for this study and a pedometer. The control group did not have access to functionalities related to the self-monitoring of weight at home, gamification, or prescription of PA. The intervention group members were assigned objectives to achieve a degree of compliance with diet and PA through exclusive access to specific functionalities of the app and push notifications. The same diet was prescribed for all patients. Three possible PA scenarios were studied for both the control and intervention groups: light physical activity (LPA), moderate physical activity (MPA), and intense physical activity (IPA). For the analysis of three or more means, the analysis of variance (ANOVA) of repeated means was performed to evaluate the effects of the intervention at baseline and at 3 and 6 months.

Results

Receiving notifications during the intervention increased body fat loss (mean -12.9% [SD 6.7] in the intervention group vs mean -7.0% [SD 5.7] in the control group; P<.001) and helped to maintain muscle mass (mean -0.8% [SD 4.5] in the intervention group vs mean -3.2% [SD 2.8] in the control group; P<.018). These variations between groups led to a nonsignificant difference in weight loss (mean -7.9 kg [SD 3.9] in the intervention group vs mean -7.1 kg [SD 3.4] in the control group; P>.05).

Conclusions

Push notifications have proven effective in the proposed weight loss program, leading women who received them to achieve greater loss of fat mass and a maintenance or increase of muscle mass, specifically among those who followed a program of IPA. Future interventions should include a longer evaluation period; the impact of different message contents, as well as message delivery times and frequency, should also be researched.

Trial Registration

ClinicalTrials.gov NCT03911583; https://www.clinicaltrials.gov/ct2/show/NCT03911583

Application and effectiveness of eHealth strategies for metabolic and bariatric surgery patients: A systematic review

OBJECTIVE

To date the application of eHealth strategies among adults and adolescents undergoing metabolic and bariatric surgery (MBS) has not been systematically reviewed. This study comprehensively examines eHealth intervention studies among MBS patients within the RE-AIM framework to assess reach, effectiveness, adoption, implementation and maintenance of these efforts.

METHODS

A search was conducted using PubMed, EMBASE, CINAHL, PsycNET and SCOPUS of original research relating to eHealth strategies for MBS patients published in peer-reviewed journals and revealed 38 published articles between 2011 and 2019.

RESULTS

Studies varied widely in terms of design (qualitative to randomized controlled trials) and eHealth delivery method (telemedicine to blog post content) with a balance of pre- or post-MBS use. No studies included adolescents and very few reported (1) a conceptual framework to support study design/outcomes; and (2) race/ethnicity composition.

CONCLUSIONS

Although some studies report that eHealth strategies/interventions are effective in producing post-MBS weight loss and other positive health outcomes, most are pilot studies or have study design limitations. There is an opportunity for development of (1) tailored eHealth interventions to support pre- and post-MBS sustained behavior change and improved outcomes; and (2) rigorous studies that employ robust conceptual frameworks so dissemination and implementation efforts can be mapped to construct-driven outcomes.

The efficacy of secondary prevention programs with remote support in coronary heart disease patients with abdominal obesity

Background Long-term secondary preventive programs in coronary heart disease (CHD) are of highest efficacy but numerous logistical problems often compromise their implementation. Contemporary remote technologies have a potential to overcome these barriers. Aim: To assess  the impact of 2 preventive counselling programs with subsequent remote support in CHD patients with concomitant obesity. Methods: A prospective randomized parallel-group study in 120 stable CHD patients hospitalized for elective coronary revascularization who were from 40 to 65 years old and had concomitant obesity. Patients were randomized (1:1:1) into 3 groups (n=40 each). Before discharge, Groups 1 and 2 received a single-session comprehensive counselling with focus on diet followed by remote counselling by phone (Group 1) or via text messages (Group 2). Remote counselling was delivered weekly (Months 1-3) and then monthly (Months 4-6). Group 3 received only standard advice from their attending physicians. The patients were followed for 12 months with assessment of adiposity measures, self-reported dietary patterns, physical activity (IPAQ questionnaire), smoking status, blood pressure (BP), fasting blood glucose, lipids and C-reactive protein (CRP) levels, as well as of clinical events. Results: At 1 year of follow-up, the patients from both intervention groups showed a marked improvement of several risk factors including obesity: the body mass index was reduced by 1.48±0.13 kg/m² in Group 1 and by 1.53±0.18 kg/m² in Group 2; the waist circumference went down by 7.62±0.49 and by 7.41±0.74 cm, respectively; the height-normalized fat mass decreased by 4.66±0.40 kg and 5.98±0.63 kg, respectively (all P values are <0.01 vs corresponding changes in the control group). These changes were coupled with more healthy dietary patterns and less sedentary lifestyles in both intervention groups: the proportion of patients with low activity level fell from 87.5% to 2.5% in Group 1 and from 80% to 10% in Group 2 (both p values <0.01 vs control). In Group 1, BP decreased by 18.08±2.20 mmHg (systolic) and 8.56±1.61 mmHg (diastolic); both р values <0.01 vs Group 3. In Group 2 systolic BP dropped by only 11.95±2.50 mmHg (non-significant) and diastolic BP by 6.33±1.52 mmHg (р<0.05 vs control). The proportion of smokers went down from 30% to 5% in Group 1 and from 22.5% to 0% in Group 2 (both p values <0.01 vs control). The fasting glucose levels decreased by 0.21±0.20 mmol/L in Group 1 and by 0.48±0.25 mmol/L in Group 2 (<0.01 vs control, both), but there were no meaningful improvements in blood lipids or CRP. Conclusion: Long-term (6 months) secondary prevention programs incorporating remote support technologies result into sustained improvement of key secondary prevention indicators in obese CHD patients, irrespective of the support modality (by phone or via electronic messaging).

Remotely Delivered Interventions for Obesity Treatment

PURPOSE OF REVIEW

This review synthesizes recent research on remotely delivered interventions for obesity treatment, including summarizing outcomes and challenges to implementing these treatments as well as outlining recommendations for clinical implementation and future research.

RECENT FINDINGS

There are a wide range of technologies used for delivering obesity treatment remotely. Generally, these treatments appear to be acceptable and feasible, though weight loss outcomes are mixed. Engagement in these interventions, particularly in the long term, is a significant challenge. Newer technologies are rapidly developing and enable tailored and adaptable interventions, though research in this area is in its infancy. Further research is required to optimize potential benefits of remotely delivered interventions for obesity.

Is There a Benefit to Patients Using Wearable Devices Such as Fitbit or Health Apps on Mobiles? A Systematic Review

Wearable devices have become a standard health care intervention with emerging health care technologies. These devices are designed to promote healthy behaviors and decrease risk for chronic disease like cardiovascular disease and diabetes. The purpose of this study was to provide evidence of the benefit of wearable devices in chronic disease outcomes among adults. Systematic search of PubMed, Web of Science, World Health Organization international clinical trials registry platform, BMC ISRCTN registry, and the Institute of Electrical and Electronics Engineers was performed based upon the PRISMA guideline. Included articles were randomized controlled trials or quasi-experimental studies with health outcomes published in English up to October 2018. Studies focusing on adults were selected. Three investigators reviewed the selected publications and made agreement on final selection. Of a total of 550 publications extracted, 6 studies met the final criteria. There was little indication that wearable devices provide a benefit for health outcomes. Of the 6 studies examined, only one study showed a significant reduction for weight loss among participants who used wearable devices. No significant reduction was discovered in cholesterol or blood pressure. Among the 6 studies, only one study examined hemoglobin A1c, and it showed a significant reduction in older patients with type 2 diabetes. The current literature evaluating wearable devices indicates little benefit of the devices on chronic disease health outcomes. Wearable devices play a role as a facilitator in motivating and accelerating physical activity, but current data do not suggest other consistent health benefits.

En_Línea. An online treatment to change lifestyle in overweight and obesity: study protocol for a randomized controlled trial

BACKGROUND

Obesity has become a major public health problem. Innovative treatments are necessary. Internet and new technologies have been reported effective results in weight control programs, especially those with personalized feedback. This paper presents the protocol for a randomized controlled trial to test the effectiveness of an online weight control program, called en_línea, comparing with a standard group therapy and a control group.

METHODS

This is a randomized controlled trial with three intervention arms: en_línea, standard group therapy and control group. To perform this study, 305 adults (18-65 years) with overweight type II (27-29.9 kg/m2) or obesity type I (30-34.9 kg/m2) will be invited to participate. Interventions will last 17 weeks with follow-ups 1, 3, 6 and 12 months after the post-treatment appointment. The primary outcome will be post-treatment weight loss and the maintenance during the follow-ups. Secondary outcomes will be adherence rates, drop outs and quality of life. Participants will be assessed before randomization and they will be sign an inform consent.

DISCUSSION

The future challenge is to design innovative obesity treatments. Internet could be a useful tool to improve traditional weight control programs. This new intervention format is appropriate for patients who prefer not to share their intimate problems with a group, and for the new generations who feel comfortable using new technologies. Besides, Internet allows reaching a large amount of people at the same time, even if they live far away.

TRIAL REGISTRATION

ClinicalTrials.gov NCT04127201. Retrospectively registered 15th October 2019.

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

A 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.

The NoHoW protocol: a multicentre 2×2 factorial randomised controlled trial investigating an evidence-based digital toolkit for weight loss maintenance in European adults

INTRODUCTION

Obesity and associated diseases place a severe burden on healthcare systems. Behavioural interventions for weight loss (WL) are successful in the short term but often result in weight regain over time. Self-regulation of eating and activity behaviours may significantly enhance weight loss maintenance (WLM) and may be effectively augmented by contextual behavioural approaches to emotion regulation. The NoHoW trial tests the efficacy of a theoretically informed, evidence-based digital toolkit using a mobile-enabled website, activity trackers and Wi-Fi scales for WLM aiming to target (1) self-regulation and motivation, and (2) emotion regulation in adults who achieved clinically significant (≥5%) WL in the previous 12 months (initial body mass index (BMI) ≥25 kg/m²).

METHODS AND ANALYSIS

The study is an 18-month, 3-centre, 2×2 factorial single-blind, randomised controlled trial, which recruited 1627 participants achieving ≥5% WL between March 2017 and March 2018. Participants are randomly allocated to one of four arms: (1) self-monitoring only (self-weighing and activity tracker), (2) self-regulation and motivation, (3) emotion regulation or (4) combined self-regulation, motivation and emotion regulation. Participants attend four clinical investigation days at 0, 6, 12 and 18 months and are instructed to use the digital toolkit for 18 weeks during the first 6 months and at their discretion for the remaining 12 months. The primary outcome is change in weight (kg) at 12 months from baseline. Secondary outcomes are body composition (eg, bioimpedance analysis), health biomarkers (glycated haemoglobin, lipids, blood pressure, hair cortisol), dietary intake, physical activity, sleep, motivational, self-regulatory, emotion regulatory moderators/mediators of WLM, engagement, user experience, acceptability and cost-effectiveness of the interventions.

ETHICS AND DISSEMINATION

Ethical approval was granted by Institutional Ethics Committees at the Universities of Leeds (17-0082; 27 February 2017), Lisbon (17/2016; 20 February 2017) and Capital Region of Denmark (H-16030495, 8 March 2017). Results will be published in scientific journals.

TRIAL REGISTRATION NUMBER

ISRCTN88405328.

Motivational interviewing in eHealth and telehealth interventions for weight loss: A systematic review

The alarming prevalence of adult obesity warrants consideration of treatments with broad reach; digital health interventions meet this need and have demonstrated efficacy for weight loss. One approach that can be delivered remotely is motivational interviewing - a counseling style that helps resolve ambivalence to change unhealthy behavior. This is the first review to systematically examine eHealth and telehealth interventions that incorporate motivational interviewing for weight loss. We searched four electronic databases (PubMed, Embase, PsycInfo, CINAHL) for publications from November 2009-May 2018. Included papers were weight loss RCTs conducted among adults with overweight or obesity that examined eHealth or telehealth interventions with motivational interviewing, compared to any type of treatment arm without it. Results were presented separately by comparison arm (control vs. active comparator). Sixteen papers (15 trials) were included. Twelve used telephone-based counseling to deliver motivational interviewing, two used email and phone, and one used online chats. When compared to a no-treatment control arm, the motivational interviewing arm was associated with greater weight loss on 6 of 11 occasions, but performed better than an active comparator on only 1 of 7 occasions. Retention and engagement were generally high, though few trials examined the relation with weight loss. No trial had high risk of bias, but five lacked power calculations and only two reported fidelity to motivational interviewing. Telephone-based interventions that incorporate motivational interviewing hold promise as effective obesity treatments. There is a dearth of evidence to support the use of motivational interviewing via eHealth, signaling a needed research area.

Factors associated with early non-response within an Internet-based behavioural weight loss program

OBJECTIVE

While behavioural weight loss interventions are effective overall, many individuals fail to achieve a clinically significant weight loss. Given that 4-week weight loss has been shown to predict longer term outcomes, one potential strategy for improving rates of success is to provide additional support to early non-responders. To inform these early rescue efforts, it is important to first identify how they may differ from their more successful peers.

METHODS

At week 4 of a 12-week Internet-delivered weight loss program, 130 adults (age: 49.8 ± 9.8 years, body mass index: 31.2 ± 4.6 kg m-2) were asked to complete an 11-item survey assessing mood and weight-related cognitions and behaviours. Participants were then categorized as early non-responders (4-week weight loss <2%) or initial responders (4-week weight loss ≥2%), and groups were compared on intervention adherence during weeks 1-4 and week 4 survey question responses.

RESULTS

Early non-responders and initial responders did not differ on any intervention adherence variables (ps > 0.05). Compared to initial responders, early non-responders reported less positive mood (p = 0.011), greater boredom with weight loss efforts (p = 0.036), greater temptation to eat foods not consistent with their goals (p = 0.023), and that their eating choices were less consistent with their goals (p < 0.001).

CONCLUSIONS

These findings identify important differences between early non-responders and initial responders, offering potential intervention targets for rescuing early non-responders (i.e. making it easier for individuals to choose healthier foods, reducing boredom in Internet-delivered weight loss programs and providing strategies to limit exposure to dietary temptations).