Health Coaching Strategies for Weight Loss: A Systematic Review and Meta-Analysis

Compendium of Health and Wellness Coaching: 2023 Addendum

Background: Building on the 2017 Compendium of Health and Wellness Coaching (HWC) and its 2019 Addendum, the 2023 Addendum extends the scope of research by incorporating studies published from 2018 to 2022. This latest version continues to serve as a vital resource for practitioners and researchers, offering access to a comprehensive collection of studies spanning established and emerging health domains. Methods: The 2023 Addendum updates and expands the evidence base to evaluate HWC's effectiveness across various conditions and settings. In this iteration, an expanded range of literature databases was explored to ensure inclusivity, categorizing articles into eight established health conditions-such as diabetes, heart disease, and obesity-while introducing two new categories reflecting research trends in respiratory conditions and chronic pain management. Results: The addendum includes findings from 212 articles, among which 115 randomized controlled trials (RCTs) demonstrate the effectiveness of HWC in improving patient-centered outcomes such as chronic care management, medication adherence, self-efficacy, and quality of life. Positive impacts were also documented on surrogate biomarkers, particularly in diabetes, hypertension, and cardiovascular care. All articles, including reviews and commentaries, are indexed with detailed methodologies and findings in an accessible spreadsheet format. Conclusions: Since its first iteration in 2017, the Compendium has grown to encompass over 480 articles, including more than 140 RCTs, illustrating the expanding role of HWC in health care. This evidence base underscores HWC's utility as a key intervention for chronic disease management, preventive care, and whole-person health. Future research should focus on refining coaching methodologies, evaluating long-term outcomes, and exploring cost-effectiveness to enhance HWC's delivery and impact across diverse populations and settings.

Health & Wellness Coaching Services: Making the Case for Reimbursement

In 2020, a consortium composed of three national coach credentialing organizations, four medical societies, and 72 healthcare organizations led by National Board for Health and Wellness Coaching (NBHWC) was formed to advocate for the reimbursement of Health and Wellness Coaching (HWC) services in the U.S. healthcare system. Building on that, the NBHWC and the Veterans Health Administration (VHA) initiated a pivotal collaboration in 2023, with a target audience comprised influential reimbursement policymakers, notably the American Medical Association's Current Procedural Terminology (CPT®) Panel and the Centers for Medicare & Medicaid Services (CMS). This concerted effort led to CMS announcing the temporary inclusion of HWC services on the 2024 Medicare Telehealth list. This ongoing advocacy work is crucial while understanding its key components is imperative for wider participation. This paper aims to distill the essence of the advocacy to date into a coherent narrative. By doing so, we seek to share with stakeholders-health and wellness coaches, medical professionals, healthcare organizations, patient advocates, and policy experts-a robust framework to support advocacy for reimbursement to both government and private insurers, at local and national levels. This initiative marks a significant milestone in healthcare policy, reflecting a growing recognition and impact of HWC.

Association between Quality of Life, Confinement, and Sex in Adults: A Multigroup Structural Equation Analysis

The state of confinement during the COVID-19 pandemic affected the quality of life of the general population. This study aims to define and contrast an explanatory model of the quality of life in adults and to analyze the relationships between these variables based on the state of confinement and sex. A total of 872 people from Chile aged between 17 and 50 (M = 21.70 years; SD= 3.272), of both sexes (60.90% male and 39.1% female) participated in this research, of whom 46.6% were not confined when tested and 53.4% were confined, analyzing the quality of life. A model of multi-group structural equations was performed, which adjusted very well (χ2 = 559.577; DF = 38; p < 0.001; IFC = 0.934; NFI = 0.916; IFI = 0.934; RMSEA = 0.061). The results show a positive and direct relationship among all the variables studied and the structural equation model proposed according to confinement and sex reveals a good fit in all the evaluation indexes. Stress and sleep, personality, and introspection were the indicators with the greatest influence in the four models, followed by the family and friends indicator with a medium correlation strength, such as the health monitoring dimension, although this was not as influential in confined individuals. The main conclusions are that the best adjustments are obtained in confined adults and females, and the data show that the psychological indicators obtained (stress and sleep, personality, and introspection) have the greatest influence on adults in the four models proposed with regard to their quality of life.

Occupational Health of Health-Care Workers with Overnutrition: Scoping Review with Meta-Analysis

(1) Objective: To review the scientific literature on the impact of interventions to enhance the occupational health of health-care workers with overnutrition. (2) Methods: Scoping review with meta-analysis. Data were obtained by consulting the following bibliographic databases: MEDLINE (via PubMed), Embase, Cochrane Library, Scopus, Web of Science, Latin American and Caribbean Literature on Health Sciences (LILACS), and Medicina en Español (MEDES). The terms used as descriptors and as text in the title and abstract fields of the records were "health workers", "overnutrition", and "occupational health", using the filters "human", "adult": 19+ years", and "clinical trial". The search update date was January 2023. The documentary quality of the articles was evaluated using the CONSORT questionnaire and the presence of bias was assessed using the Rob 2.0 tool. (3) Results: From the 611 digitally retrieved references, 17 clinical trials were selected after applying the inclusion and exclusion criteria. CONSORT scores ranged from a minimum of 14.6% to a maximum of 91.7%, with a median of 68.8%. According to the SIGN criteria, this review provided "1" evidence with a grade B recommendation. Six different types of intervention were tested, grouped into strategies ranging from a single intervention to a combination of four interventions. The summary effect of the meta-analysis showed significant weight loss, but no association with reduced body mass index. (4) Conclusions: While workplace interventions have been shown to be potentially effective, and strategies using different types of interventions have been proven to be useful in tackling overnutrition, an effective and sustainable solution for changing the behavior of health professionals to tackle overweight and obesity has yet to be identified.

Health Coaching for Weight Loss Among Overweight and Obese Individuals in Saudi Arabia: A Retrospective Analysis

Background Health coaching is an increasingly used strategy to help in adopting lifestyle changes for weight loss. While Saudi Arabia has one of the highest obesity prevalences worldwide, research on lifestyle interventions for weight loss is limited. Aim We aimed to investigate the effectiveness of health coaching for weight loss among the Saudi population in real-world primary healthcare settings. Methods This is a retrospective observational study. Secondary data from the health coach national program in the Eastern Health Cluster were retrieved. Obese and overweight individuals aged 15 years or older with weight-related goals who completed at least 12 weeks of coaching were included in the analysis. The primary outcomes are weight change (kg) and weight change percent (%) of the initial weight. We further compared the weight change% between different follow-up methods (i.e., physical, virtual, and hybrid) and studied the factors associated with -5% weight loss. Results In total, 465 participants were included in the analysis, with a female predominance (66.2%) and a median initial weight of 90 kg (interquartile range (IQR): 77, 101). The median follow-up duration was 127 days (IQR: 101, 157), and the median total number of coaching sessions was three (IQR: 2, 5). The mean weight change was -2.68 kg (95% confidence interval (CI): -3.12, -2.24), p<0.001. Comparing each follow-up group, no statistically significant difference was found when controlling for number of visits (p=0.059). The adjusted means for weight change% were -3.77%, -2.59%, and -2.54% for hybrid, physical, and virtual visits, respectively. Factors that were associated with achieving at least -5% weight loss were male sex (adjusted odds ratio (aOR)=1.87, 95% CI: 1.16, 3.02), five or more total coaching visits (aOR=5.23, 95% CI: 2.88, 9.50), longer follow-up duration (aOR=1.09, 95% CI: 1.03, 1.15), and having a weight management goal (aOR=4.5, 95% CI: 1.63, 12.45) as the reason for initial coaching visit. Conclusion We found statistically significant weight change among clients who completed 12 weeks of coaching in primary care settings. The findings in this paper contribute to the importance of lifestyle interventions for weight loss among the Saudi population. However, stronger controlled studies are needed to confirm this finding.

An addiction-based digital weight loss intervention: A multi-centre randomized controlled trial

OBJECTIVE

This randomized clinical trial tested the effectiveness of an addiction-based digital weight-loss intervention, focusing on withdrawal/abstinence from self-identified problem foods, snacking and excessive amounts at meals, and discomfort displacement, with and without coaching, compared to an in-person, multi-disciplinary, care model among adolescents with obesity. We hypothesized that the digital intervention with coaching would yield greater weight loss and lower delivery burden than the standard clinical arm, and greater participant engagement than the digital arm without coaching.

METHODS

Adolescents were randomized to app intervention, with or without coaching, or in-person multidisciplinary obesity intervention for 6 months. The primary outcome was change in %BMIp95 at weeks 12 and 24. A mixed-effects linear regression model was used to assess the association between change in %BMIp95 and intervention arm. We were also interested in assessing delivery burden, participant engagement and evaluating the relationships between weight change and demographic characteristics, mood, executive function and eating behaviours.

RESULTS

All adolescents (n = 161; BMI ≥95th%, age 16 ± 2.5 year; 47% Hispanic, 65% female, 59% publicly insured) lost weight over 24-weeks (-1.29%, [-1.82, -0.76], p < 0.0001), with no significant weight loss difference between groups (p = 0.3). Girls lost more weight than boys, whereas binge eating behaviour at baseline was associated with increase in %BMIp95 when controlling for other covariates. There was no association between ethnicity, mood, timing of intervention in relation to the pandemic, or executive function and change in %BMIp95 .

CONCLUSIONS

Contrary with our hypothesis, our results showed no difference in the change in BMI status between treatment arms. Since efficacy of this digital intervention was not inferior to in-person, multi-disciplinary care, this could offer a reasonable weight management option for clinicians, based on youth and family specific characteristics, such as accessibility, resources, and communication styles.

CLINICAL TRIAL REGISTRATION

ClinicalTrials.gov identifier: NCT035008353.

Effectiveness of combined health coaching and self-monitoring apps on weight-related outcomes in people with overweight and obesity: A systematic review and meta-analysis (Preprint)

BACKGROUND

Self-monitoring smartphone apps and health coaching have both individually been shown to improve weight-related outcomes, but their combined effects remain unclear.

OBJECTIVE

This study aims to examine the effectiveness of combining self-monitoring apps with health coaching on anthropometric, cardiometabolic, and lifestyle outcomes in people with overweight and obesity.

METHODS

Relevant articles published from inception till June 9, 2022, were searched through 8 databases (Embase, CINAHL, PubMed, PsycINFO, Scopus, The Cochrane Library, and Web of Science). Effect sizes were pooled using random-effects models. Behavioral strategies used were coded using the behavior change techniques taxonomy V1.

RESULTS

A total of 14 articles were included, representing 2478 participants with a mean age of 39.1 years and a BMI of 31.8 kg/m2. Using combined intervention significantly improved weight loss by 2.15 kg (95% CI -3.17 kg to -1.12 kg; P<.001; I2=60.3%), waist circumference by 2.48 cm (95% CI -3.51 cm to -1.44 cm; P<.001; I2=29%), triglyceride by 0.22 mg/dL (95% CI -0.33 mg/dL to 0.11 mg/dL; P=.008; I2=0%), glycated hemoglobin by 0.12% (95% CI -0.21 to -0.02; P=.03; I2=0%), and total calorie consumption per day by 128.30 kcal (95% CI -182.67 kcal to -73.94 kcal; P=.003; I2=0%) kcal, but not BMI, blood pressure, body fat percentage, cholesterol, and physical activity. Combined interventional effectiveness was superior to receiving usual care and apps for waist circumference but only superior to usual care for weight loss.

CONCLUSIONS

Combined intervention could improve weight-related outcomes, but more research is needed to examine its added benefits to using an app.

TRIAL REGISTRATION

PROSPERO CRD42022345133; https://tinyurl.com/2zxfdpay.

From Young to Older, the 4 Phases Method Is Efficient in Promoting Quick Weight, BMI, and Waist Circumference Reductions

Background: Investigate the effectiveness of the scientific 4 Phases Method, a methodology developed by EMAGRECENTRO, which is based on a ketogenic approach (total carbohydrate intake <40 g/day; including fibers) associated with health coach assistance, in promoting reductions in body weight, body mass index (BMI), and waist circumference after 5 weeks of methodology application. Methods: Record files from 354 individuals, both sexes, aged between 18 and 67, who took part in the 4 Phases Method were used to develop this study. Age, sex, weight, height, BMI, waist circumference measurement, and the presence of ketone bodies in the urine were evaluated before (baseline) and after 5 weeks of the 4 Phases application. Results: In general, a significant reduction in body weight (−7.8 ± 1.2 kg, p < 0.0001), BMI (−2.8 ± 0.4 kg/m2, p < 0.0001), and waist circumference measurement (−7.6 ± 0.4 cm, p < 0.0001) was found after the application of the 4 Phases Method, regardless of age, gender, and BMI. Conclusions: Taken together, our results demonstrated that the 4 Phases Method was able to promote significant body weight, BMI, and waist circumference reductions in the short term, particularly by associating a ketogenic intake strategy with a regular close follow-up weekly consultation with a health coach assistance.

The Use of Artificial Intelligence-Based Conversational Agents (Chatbots) for Weight Loss: Scoping Review and Practical Recommendations

BACKGROUND

Overweight and obesity have now reached a state of a pandemic despite the clinical and commercial programs available. Artificial intelligence (AI) chatbots have a strong potential in optimizing such programs for weight loss.

OBJECTIVE

This study aimed to review AI chatbot use cases for weight loss and to identify the essential components for prolonging user engagement.

METHODS

A scoping review was conducted using the 5-stage framework by Arksey and O'Malley. Articles were searched across nine electronic databases (ACM Digital Library, CINAHL, Cochrane Central, Embase, IEEE Xplore, PsycINFO, PubMed, Scopus, and Web of Science) until July 9, 2021. Gray literature, reference lists, and Google Scholar were also searched.

RESULTS

A total of 23 studies with 2231 participants were included and evaluated in this review. Most studies (8/23, 35%) focused on using AI chatbots to promote both a healthy diet and exercise, 13% (3/23) of the studies used AI chatbots solely for lifestyle data collection and obesity risk assessment whereas only 4% (1/23) of the studies focused on promoting a combination of a healthy diet, exercise, and stress management. In total, 48% (11/23) of the studies used only text-based AI chatbots, 52% (12/23) operationalized AI chatbots through smartphones, and 39% (9/23) integrated data collected through fitness wearables or Internet of Things appliances. The core functions of AI chatbots were to provide personalized recommendations (20/23, 87%), motivational messages (18/23, 78%), gamification (6/23, 26%), and emotional support (6/23, 26%). Study participants who experienced speech- and augmented reality-based chatbot interactions in addition to text-based chatbot interactions reported higher user engagement because of the convenience of hands-free interactions. Enabling conversations through multiple platforms (eg, SMS text messaging, Slack, Telegram, Signal, WhatsApp, or Facebook Messenger) and devices (eg, laptops, Google Home, and Amazon Alexa) was reported to increase user engagement. The human semblance of chatbots through verbal and nonverbal cues improved user engagement through interactivity and empathy. Other techniques used in text-based chatbots included personally and culturally appropriate colloquial tones and content; emojis that emulate human emotional expressions; positively framed words; citations of credible information sources; personification; validation; and the provision of real-time, fast, and reliable recommendations. Prevailing issues included privacy; accountability; user burden; and interoperability with other databases, third-party applications, social media platforms, devices, and appliances.

CONCLUSIONS

AI chatbots should be designed to be human-like, personalized, contextualized, immersive, and enjoyable to enhance user experience, engagement, behavior change, and weight loss. These require the integration of health metrics (eg, based on self-reports and wearable trackers), personality and preferences (eg, based on goal achievements), circumstantial behaviors (eg, trigger-based overconsumption), and emotional states (eg, chatbot conversations and wearable stress detectors) to deliver personalized and effective recommendations for weight loss.

[New patient care techniques: nutritional coaching]

To achieve behavioral changes, as well as to prevent the appearance of non-communicable diseases, nutritional education has traditionally been used. However, the prevalence of some chronic diseases is still increasing. This has led to the development of new patient care techniques such as nutritional coaching, or nutritional counselling, in which the patient plays an active role during the change process. The available scientific evidence indicates that nutritional coaching, as well as health coaching, is an effective tool to achieve lasting changes in diet and lifestyle.