Impact of a Mobile Telerehabilitation Solution on Metabolic Health Outcomes and Rehabilitation Adherence in Patients With Obesity: Randomized Controlled Trial

A meta-analysis of eHealth interventions to promote physical activity in young, middle-aged, and late middle-aged adults with obesity or overweight

The purpose of this study was to calculate the effects of recent eHealth interventions to promote physical activity in young, middle-aged, and late middle-aged adults with obesity or overweight. This meta-analysis followed the Preferred Reporting Items for Systematic Reviews and Meta-analyses guidelines. In the search, 3550 articles were identified, and 15 studies met all inclusion criteria. The effects of recent eHealth interventions depended on the type of outcome variable: (a) intensity-based physical activity (e.g., moderate-to-vigorous-intensity physical activity, average minutes per day from intensity categories, steps per day) or (b) energy expenditure-based physical activity (e.g., metabolic equivalent of task, kilocalories per week). The overall effects of recent eHealth interventions on the physical activity outcomes in adults with obesity were positive and ranged from small to medium in size. Ethnicity and weight status moderated the effects of recent eHealth interventions on physical activity outcomes. Results from this meta-analysis provided some evidence for both the utility of, and possible improvements to, eHealth interventions to promote health-enhancing physical activity in at-risk populations.

Effectiveness of telerehabilitation on the International Classification of Functioning, Disability, and Health framework outcomes during the COVID-19 pandemic: A systematic review and meta-analysis of randomized controlled trials

Objective

This study aimed to synthesize and analyze the evidence on the effectiveness of telerehabilitation categorized according to the International Classification of Functioning, Disability, and Health (ICF) outcomes for physical therapy (PT) during the coronavirus disease 2019 (COVID-19) pandemic.

Methods

Studies were identified using the Physiotherapy Evidence Database (PEDro), Scopus, PubMed, EMBASE, and other sources of data. Randomized controlled trials comparing telerehabilitation with the control group (i.e., no treatment/usual care) were included. Standard meta-analysis techniques were applied to assess the effectiveness of telerehabilitation. Outcome measures were categorized according to the domains of the ICF.

Results

Among the 134 studies that met the eligibility criteria, the majority of findings demonstrated significant improvements across all domains of the ICF following telerehabilitation as compared to the control group, regardless of participant groups. Only 9 of 134 studies were included in the meta-analysis. Six studies enrolled individuals with COVID-19 and the remaining three enrolled individuals with knee osteoarthritis (OA) who were unable to access services at the clinic. Compared with the control group, the Borg-Rating-of-Perceived-Exertion scale, as reflected in an impairment domain, was significantly lower in individuals with COVID-19 who received telerehabilitation (3 studies, n = 135; standardized mean difference (SMD) -1.82, 95% CI -2.77 to -0.86). Compared with that in the control group, 30-second sit-to-stand test (3 studies, n = 122; SMD 0.88, 95% CI 0.52-1.25) and 6-minute-walking test (4 studies, n = 221; SMD 0.83, 95% CI 0.42-1.24), as reflected to an activity domain, showed significant improvement in the telerehabilitation group. Conversely, there was no effectiveness of telerehabilitation on an activity domain as measured by the timed up and go test in people with knee OA (3 studies, n = 111; SMD -0.45, 95% CI -1.19 to 0.30).

Conclusion

This study provides evidence supporting the effectiveness of telerehabilitation across all domains of the ICF, with significant improvements observed in the impairment and activity domains for individuals with COVID-19. These improvements are particularly evident in the meta-analysis findings such as perceived exertion, leg strength, and functional capacity.

User Engagement With mHealth Interventions to Promote Treatment Adherence and Self-Management in People With Chronic Health Conditions: Systematic Review

BACKGROUND

There are numerous mobile health (mHealth) interventions for treatment adherence and self-management; yet, little is known about user engagement or interaction with these technologies.

OBJECTIVE

This systematic review aimed to answer the following questions: (1) How is user engagement defined and measured in studies of mHealth interventions to promote adherence to prescribed medical or health regimens or self-management among people living with a health condition? (2) To what degree are patients engaging with these mHealth interventions? (3) What is the association between user engagement with mHealth interventions and adherence or self-management outcomes? (4) How often is user engagement a research end point?

METHODS

Scientific database (Ovid MEDLINE, Embase, Web of Science, PsycINFO, and CINAHL) search results (2016-2021) were screened for inclusion and exclusion criteria. Data were extracted in a standardized electronic form. No risk-of-bias assessment was conducted because this review aimed to characterize user engagement measurement rather than certainty in primary study results. The results were synthesized descriptively and thematically.

RESULTS

A total of 292 studies were included for data extraction. The median number of participants per study was 77 (IQR 34-164). Most of the mHealth interventions were evaluated in nonrandomized studies (157/292, 53.8%), involved people with diabetes (51/292, 17.5%), targeted medication adherence (98/292, 33.6%), and comprised apps (220/292, 75.3%). The principal findings were as follows: (1) >60 unique terms were used to define user engagement; "use" (102/292, 34.9%) and "engagement" (94/292, 32.2%) were the most common; (2) a total of 11 distinct user engagement measurement approaches were identified; the use of objective user log-in data from an app or web portal (160/292, 54.8%) was the most common; (3) although engagement was inconsistently evaluated, most of the studies (99/195, 50.8%) reported >1 level of engagement due to the use of multiple measurement methods or analyses, decreased engagement across time (76/99, 77%), and results and conclusions suggesting that higher engagement was associated with positive adherence or self-management (60/103, 58.3%); and (4) user engagement was a research end point in only 19.2% (56/292) of the studies.

CONCLUSIONS

The results revealed major limitations in the literature reviewed, including significant variability in how user engagement is defined, a tendency to rely on user log-in data over other measurements, and critical gaps in how user engagement is evaluated (infrequently evaluated over time or in relation to adherence or self-management outcomes and rarely considered a research end point). Recommendations are outlined in response to our findings with the goal of improving research rigor in this area.

TRIAL REGISTRATION

PROSPERO International Prospective Register of Systematic Reviews CRD42022289693; https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42022289693.

Expert Opinion on the Utility of Telemedicine in Obesity Care: Recommendations on a Hybrid Multidisciplinary Integrated Care Follow-Up Algorithm

PURPOSE OF REVIEW

The proposed expert opinion was prepared by a panel of obesity and law specialists from Turkey to review the utility of telemedicine in obesity care and to provide a guidance document with recommendations on a hybrid multidisciplinary integrated care follow-up algorithm and the legislation governing telemedicine practice to assist obesity specialists in practicing the telemedicine.

RECENT FINDINGS

The efficacy and feasibility of telemedicine interventions in supporting obesity management programs even during pandemics confirm that obesity is a particularly well-suited field for telemedicine, emphasizing the strong likelihood of continued utilization of telemedicine in obesity management, beyond the pandemic period. Telemedicine has great potential to address several barriers to ongoing weight-management care, such as challenges of access to specialized care, cost, and time limitations as well as patient adherence to treatment. However, telemedicine practice should complement rather than replace the in-person visits which are unique in building rapport and offering social support. Accordingly, the participating experts recommend the use of a hybrid integrated care model in the management of obesity, with the use of telemedicine, as an adjunct to in-person visits, to enable the provision of suggested intensive obesity management via frequent visits by a multidisciplinary team of obesity specialists. Further research addressing the utility of telemedicine in terms of optimal modality and duration for successful long-term obesity management outcomes is necessary to develop specific guidelines on telemedicine practice. In addition, the legislation governing the norms and protocols on confidentiality, privacy, access, and liability needs to be improved.

From home to health: Telerehabilitation's contribution to physical activity and quality of life in young adult teleworkers

BACKGROUND

The global implementation of full-time telework became widespread during the new normal conditions following the pandemic, resulting in reduced physical activity (PA) among teleworkers and young adults. It is vital to comprehend how telehealth interventions favorably impact PA levels and overall well-being of young adults who face increasingly blurred boundaries between work and home life.

OBJECTIVES

The aim of this study is to examine the effect of telerehabilitation (TR) on PA levels and quality of life (QoL) in young adult teleworkers.

METHODS

A quasi-experimental study was conducted on 82 teleworkers (54 females and 28 males). Levels of PA and QoL were assessed using the International Physical Activity Questionnaire-Short Form (IPAQ-SF) and the Health-Related Quality of Life (HRQOL-14) questionnaire. TR was provided to all participants for four weeks, three times a week, for 40 minutes per session. Levels of PA and QoL were evaluated at baseline and after four weeks of the intervention. Data were analyzed using descriptive and inferential statistics.

RESULTS

After four weeks of TR, there has been a significant improvement in the scores of IPAQ and HRQOL-14 (p < 0.05). In regards to IPAQ-SF results, TR had a significant effect on the sitting or sedentary behavior of the teleworkers.

CONCLUSION

The results showed that a short-term TR intervention improved both the level of PA and QoL in young adult teleworkers. Therefore, TR may be an effective treatment approach to improve PA and QoL and promote a healthy lifestyle in teleworkers.

AI4FoodDB: a database for personalized e-Health nutrition and lifestyle through wearable devices and artificial intelligence

The increasing prevalence of diet-related diseases calls for an improvement in nutritional advice. Personalized nutrition aims to solve this problem by adapting dietary and lifestyle guidelines to the unique circumstances of each individual. With the latest advances in technology and data science, researchers can now automatically collect and analyze large amounts of data from a variety of sources, including wearable and smart devices. By combining these diverse data, more comprehensive insights of the human body and its diseases can be achieved. However, there are still major challenges to overcome, including the need for more robust data and standardization of methodologies for better subject monitoring and assessment. Here, we present the AI4Food database (AI4FoodDB), which gathers data from a nutritional weight loss intervention monitoring 100 overweight and obese participants during 1 month. Data acquisition involved manual traditional approaches, novel digital methods and the collection of biological samples, obtaining: (i) biological samples at the beginning and the end of the intervention, (ii) anthropometric measurements every 2 weeks, (iii) lifestyle and nutritional questionnaires at two different time points and (iv) continuous digital measurements for 2 weeks. To the best of our knowledge, AI4FoodDB is the first public database that centralizes food images, wearable sensors, validated questionnaires and biological samples from the same intervention. AI4FoodDB thus has immense potential for fostering the advancement of automatic and novel artificial intelligence techniques in the field of personalized care. Moreover, the collected information will yield valuable insights into the relationships between different variables and health outcomes, allowing researchers to generate and test new hypotheses, identify novel biomarkers and digital endpoints, and explore how different lifestyle, biological and digital factors impact health. The aim of this article is to describe the datasets included in AI4FoodDB and to outline the potential that they hold for precision health research. Database URL https://github.com/AI4Food/AI4FoodDB.

Behavior Change Effectiveness Using Nutrition Apps in People With Chronic Diseases: Scoping Review

BACKGROUND

Cardiovascular disease, cancer, diabetes mellitus, and obesity are common chronic diseases, and their prevalence is reaching an epidemic level worldwide. As the impact of chronic diseases continues to increase, finding strategies to improve care, access to care, and patient empowerment becomes increasingly essential. Health care providers use mobile health (mHealth) to access clinical information, collaborate with care teams, communicate over long distances with patients, and facilitate real-time monitoring and interventions. However, these apps focus on improving general health care concerns, with limited apps focusing on specific chronic diseases and the nutrition involved in the disease state. Hence, available evidence on the effectiveness of mHealth apps toward behavior change to improve chronic disease outcomes is limited.

OBJECTIVE

The objective of this scoping review was to provide an overview of behavior change effectiveness using mHealth nutrition interventions in people with chronic diseases (ie, cardiovascular disease, diabetes mellitus, cancer, and obesity). We further evaluated the behavior change techniques and theories or models used for behavior change, if any.

METHODS

A scoping review was conducted through a systematic literature search in the MEDLINE, EBSCO, PubMed, ScienceDirect, and Scopus databases. Studies were excluded from the review if they did not involve an app or nutrition intervention, were written in a language other than English, were duplicates from other database searches, or were literature reviews. Following the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) 2020 guidelines, the systematic review process included 4 steps: identification of records through the database search, screening of duplicate and excluded records, eligibility assessment of full-text records, and final analysis of included records.

RESULTS

In total, 46 studies comprising 256,430 patients were included. There was diversity in the chronic disease state, study design, number of participants, in-app features, behavior change techniques, and behavior models used in the studies. In addition, our review found that less than half (19/46, 41%) of the studies based their nutrition apps on a behavioral theory or its constructs. Of the 46 studies, 11 (24%) measured maintenance of health behavior change, of which 7 (64%) sustained behavior change for approximately 6 to 12 months and 4 (36%) showed a decline in behavior change or discontinued app use.

CONCLUSIONS

The results suggest that mHealth apps involving nutrition can significantly improve health outcomes in people with chronic diseases. Tailoring nutrition apps to specific populations is recommended for effective behavior change and improvement of health outcomes. In addition, some studies (7/46, 15%) showed sustained health behavior change, and some (4/46, 9%) showed a decline in the use of nutrition apps. These results indicate a need for further investigation on the sustainability of the health behavior change effectiveness of disease-specific nutrition apps.

The state of the art in telerehabilitation for musculoskeletal conditions

BACKGROUND

Given the rapid advances in communication technology and the need that emerged from the COVID-19 pandemic, telehealth initiatives have been widely used worldwide. This masterclass aims to provide an overview of telerehabilitation for musculoskeletal conditions, synthesizing the different terminologies used to describe telehealth and telerehabilitation, its effectiveness and how to use it in clinical practice, barriers and facilitators for the implementation in health services, and discuss the need of a curriculum education for the near future.

MAIN BODY

Telerehabilitation refers to the use of information and communication technologies provided by any healthcare professionals for rehabilitation services. Telerehabilitation is a safe and effective option in the management of musculoskeletal conditions in different models of delivery. There are many technologies, with different costs and benefits, synchronous and asynchronous, that can be used for telerehabilitation: telephone, email, mobile health, messaging, web-based systems and videoconferences applications. To ensure a better practice of telerehabilitation, the clinician should certify safety and access, and appropriateness of environment, communication, technology, assessment, and therapeutic prescription. Despite the positive effect of telerehabilitation in musculoskeletal disorders, a suboptimal telerehabilitation implementation may have happened due to the COVID-19 pandemic, especially in countries where telehealth was not a reality, and clinicians lacked training and guidance. This emphasizes the need to identify the necessary curriculum content to guide future clinicians in their skills and knowledge for telerehabilitation. There are some challenges and barriers that must be carefully accounted for to contribute to a health service that is inclusive and relevant to health professionals and end users.

CONCLUSIONS

Telerehabilitation can promote patient engagement in health care and plays an important role in improving health outcomes in patients with musculoskeletal conditions. Digital health technologies can also offer new opportunities to educate patients and facilitate the process of behavior change to a healthy lifestyle. Currently, the main needs in telerehabilitation are the inclusion of it in health curriculums in higher education and the development of cost-effectiveness and implementation trials, especially in low- and middle-income countries where access, investments and digital health literacy are limited.

Impact of a telerehabilitation programme combined with continuous positive airway pressure on symptoms and cardiometabolic risk factors in obstructive sleep apnea patients

Background

Obstructive sleep apnea syndrome is a common sleep-breathing disorder associated with adverse health outcomes including excessive daytime sleepiness, impaired quality of life and is well-established as a cardiovascular risk factor. Continuous positive airway pressure is the reference treatment, but its cardiovascular and metabolic benefits are still debated. Combined interventions aiming at improving patient's lifestyle behaviours are recommended in guidelines management of obstructive sleep apnea syndrome but adherence decreases over time and access to rehabilitation programmes is limited. Telerehabilitation is a promising approach to address these issues, but data are scarce on obstructive sleep apnea syndrome.

Methods

The aim of this study is to assess the potential benefits of a telerehabilitation programme implemented at continuous positive airway pressure initiation, compared to continuous positive airway pressure alone and usual care, on symptoms and cardiometabolic risk factors of obstructive sleep apnea syndrome. This study is a 6-months multicentre randomized, parallel controlled trial during which 180 obese patients with severe obstructive sleep apnea syndrome will be included. We will use a sequential hierarchical criterion for major endpoints including sleepiness, quality of life, nocturnal systolic blood pressure and inflammation biological parameters.

Discussion

m-Rehab obstructive sleep apnea syndrome is the first multicentre randomized controlled trial to examine the effectiveness of a telerehabilitation lifestyle programme in obstructive sleep apnea syndrome. We hypothesize that a telerehabilitation lifestyle intervention associated with continuous positive airway pressure for 6 months will be more efficient than continuous positive airway pressure alone on symptoms, quality of life and cardiometabolic risk profile. Main secondary outcomes include continuous positive airway pressure adherence, usability and satisfaction with the telerehabilitation platform and medico-economic evaluation.

Trial registration

Clinicaltrials.gov Identifier: NCT05049928. Registration data: 20 September 2021.

Acceptability of Telerehabilitation for Magnification Devices for the Visually Impaired Using Various Approaches to Facilitate Accessibility

Purpose

We examined different methods to reduce the burden of accessing technology for videoconferencing during telerehabilitation for magnification devices for the visually impaired.

Methods

During telerehabilitation studies over the past 5 years, vision rehabilitation providers assessed and gave training to visually impaired participants with newly dispensed magnification devices at home who connected to Zoom videoconferencing via loaner tablets or smartphones with assistance from (phase 1; n = 10) investigators by phone, (phase 2; n = 11) local Lions Club volunteers in participants’ homes, or (phase 3; n = 24) remote access control software in a randomized controlled trial with 13 usual care controls who received in-office training. All participants completed the same post-telerehabilitation phone survey.

Results

A significantly greater proportion of phase 3 subjects indicated they strongly or mostly agreed that the technology did not interfere with the session (96%) compared to phase 1 (60%; 95% confidence interval [CI], 1.2–12.5; P = 0.03) or phase 2 (55%; 95% CI, 1.8–188; P = 0.01). The majority indicated telerehabilitation was as accurate as in person (68%), they were comfortable with telerehabilitation (91%) and interested in a future session (83%), and their magnifier use improved (79%), with no significant differences in these responses between phases (all P > 0.10), including comparisons of participants randomized to telerehabilitation or in-office training in phase 3 who reported similar overall satisfaction levels (P = 0.84).

Conclusions

Participants across all phases reported high levels of acceptance for telerehabilitation, with least interference from technology using remote access control in phase 3.

Translational Relevance

With accommodations for accessibility to videoconferencing technology, telerehabilitation for magnification devices can be a feasible, acceptable, and valuable option in countries with resources to support the technology.

Beyond the Calorie Paradigm: Taking into Account in Practice the Balance of Fat and Carbohydrate Oxidation during Exercise?

Recent literature shows that exercise is not simply a way to generate a calorie deficit as an add-on to restrictive diets but exerts powerful additional biological effects via its impact on mitochondrial function, the release of chemical messengers induced by muscular activity, and its ability to reverse epigenetic alterations. This review aims to summarize the current literature dealing with the hypothesis that some of these effects of exercise unexplained by an energy deficit are related to the balance of substrates used as fuel by the exercising muscle. This balance of substrates can be measured with reliable techniques, which provide information about metabolic disturbances associated with sedentarity and obesity, as well as adaptations of fuel metabolism in trained individuals. The exercise intensity that elicits maximal oxidation of lipids, termed LIPOXmax, FATOXmax, or FATmax, provides a marker of the mitochondrial ability to oxidize fatty acids and predicts how much fat will be oxidized over 45–60 min of low- to moderate-intensity training performed at the corresponding intensity. LIPOXmax is a reproducible parameter that can be modified by many physiological and lifestyle influences (exercise, diet, gender, age, hormones such as catecholamines, and the growth hormone-Insulin-like growth factor I axis). Individuals told to select an exercise intensity to maintain for 45 min or more spontaneously select a level close to this intensity. There is increasing evidence that training targeted at this level is efficient for reducing fat mass, sparing muscle mass, increasing the ability to oxidize lipids during exercise, lowering blood pressure and low-grade inflammation, improving insulin secretion and insulin sensitivity, reducing blood glucose and HbA_1c in type 2 diabetes, and decreasing the circulating cholesterol level. Training protocols based on this concept are easy to implement and accept in very sedentary patients and have shown an unexpected efficacy over the long term. They also represent a useful add-on to bariatric surgery in order to maintain and improve its weight-lowering effect. Additional studies are required to confirm and more precisely analyze the determinants of LIPOXmax and the long-term effects of training at this level on body composition, metabolism, and health.