Effectiveness of Motivational Interviewing in Managing Overweight and Obesity : A Systematic Review and Meta-analysis

The past, present, and future of behavioral obesity treatment

Over the last century, hundreds of evaluations have been conducted to examine weight-management interventions related to diet, physical activity, and behavior therapy. These investigations have contributed to a growing body of knowledge that has consistently advanced the field of obesity treatment, while also revealing some persistent challenges. This narrative review summarizes key findings from randomized controlled trials conducted in adults that have combined diet, physical activity, and behavior therapy, an approach variously referred to as behavioral treatment, comprehensive lifestyle modification, or intensive lifestyle intervention. The review shows that current behavioral approaches induce average reductions in baseline body weight of 5 to 10% at 6 to 12 months. Such losses have proven effective in reducing the risk of type 2 diabetes in persons with impaired glucose tolerance and in improving other obesity-related complications. These benefits have also been associated with reductions in healthcare costs. Despite these advances, behavioral treatment is challenged by the need for larger losses to achieve optimal improvements in health, by difficulties associated with maintaining weight loss, and by barriers limiting access to treatment. New anti-obesity medications, when combined with behavioral obesity treatment, hold promise of addressing the first two issues.

Impact of Annual Health Checkups on Five-Year Weight Gain in Japan: Considering Behavioral Change Stages in the Transtheoretical Model

Background Obesity is a critical public health issue because this common disease leads to increased mortality. Therefore, controlling weight is essential. We aimed to evaluate whether undergoing health checkup examinations at least annually leads to better weight management. Methodology This longitudinal study utilized the health checkup examination data collected between April 2014 and March 2019 at the Seirei Health Care Division in Japan. Participants whose weight was measured in 2014 and 2019 were included. All analyses were performed according to sex and the three categories of health checkup examination frequency (twice, three to four times, and five to six times over five years). One-way analysis of variance (ANOVA) and trend analysis were conducted on the average weight differences between 2014 and 2019. Covariance analysis was performed using age, body mass index, and the categories of the behavioral change stages in the transtheoretical model in 2014 as covariates in the one-way ANOVA. Subgroup analyses were conducted for two age groups: ≥ 65 and < 65 years. Results A total of 84,078 males and 51,418 females were included. The mean age (standard deviation) in 2014 was 44.2 (13.1) and 46.7 (13.2), respectively. The more frequently weight was measured, the less weight was gained after five years in both sexes; the average weight gain was 1.32, 1.17, and 0.95 kg in males and 1.26, 0.96, and 0.78 kg in females in the twice, three to four times, and five to six times frequency groups, respectively. The P-values for the one-way ANOVA, trend analysis, and covariance analysis were all < 0.05. This trend was true for those aged <65 years, whereas in those aged ≥65 years, weight loss was noticeable. Conclusions An association between weight gain after five years and the frequency of health checkup examinations was revealed among individuals aged <65 years. Weight gain may be controlled with annual health checkup examinations.

A novel human specific lncRNA MEK6-AS1 regulates adipogenesis and fatty acid biosynthesis by stabilizing MEK6 mRNA

BACKGROUND

Obesity is becoming one of the major non-communicable diseases with increasing incidence and risks that cannot be ignored. However effective and safe clinical treatment strategies still need to be deeply explored. Increased number and volume of adipocytes lead to overweight and obesity. The aim of our work is to identify lncRNAs that have important regulatory in differentiation of human mesenchymal stem cells (MSCs) into adipocytes, and to provide effective targets for clinical prevention and treatment of obesity and related metabolic disorders.

METHODS

We extracted primary MSCs from human adipose tissue, and conducted expression profile analysis of lncRNAs during adipogenic differentiation of MSCs to screen changed lncRNAs. Characteristics of lncRNA were revealed mainly by RACE and RNA FISH. Loss- and gain-of function experiments in vivo and in vitro were used to analyze effects of lncRNA. Targeted metabolomics was utilized to detect levels of free fatty acids. RNA pull-down, mRNA stability tests, etc. were employed to explore mechanisms of lncRNA.

RESULTS

Human-specific lncRNA, we named it MEK6-AS1, was the most up-regulated transcript during adipogenic differentiation of MSCs. MEK6-AS1 was highly expressed in adipose tissue samples from individuals with BMI ≥ 25 and positively correlated with adipogenic marker genes in these samples. Knocking down lncRNA inhibited expression of adipogenic differentiation markers and ectopic adipogenesis, reducing contents of various free fatty acids, as well as promoting osteogenic differentiation. Overexpression of lncRNA had the opposite effects to the above processes. We also found that MEK6-AS1 was elevated during hepatic steatosis organoid generation. Mechanistically, MEK6-AS1 worked partially through stabilization of MEK6 mRNA by NAT10.

CONCLUSIONS

We have identified a human-specific lncRNA (MEK6-AS1) with position information in the genomic database but has not been extensively reported. We demonstrated that MEK6-AS1 as a novel lncRNA involved in adipogenic differentiation and adipogenesis, fatty acid metabolism, and osteogenic differentiation. We found that MEK6-AS1 may exert its effect by enhancing MEK6 mRNA stability through NAT10. Our study may provide insights into implication of lncRNAs in stem cell biology and offer a new potential therapeutic target for the prevention and treatment of obesity and other related disease.

Patient motivation: A concept analysis

Background

Patient motivation is crucial in maintaining health-improving activities and helping patients recover from illnesses. Despite extensive research on patient motivation, this concept has not been clearly defined and remains ambiguous. The latest analysis of patient motivation was over two decades ago, thus necessitating the need to reexamine it in more updated literature.

Objective

This study aims to explore the concept of patient motivation.

Methods

The eight-step approach of Walker and Avant was used: concept selection, determining analysis aim, identifying concept use, defining attributes, model case identification, borderline and contrary case identification, antecedents and consequences identification, and empirical referent identification. Five databases, CINAHL, Cochrane, Medline, PubMed, ProQuest, and ScienceDirect, were searched for published works between 2014 and 2024 using the keywords "patient" and "motivation."

Results

The identified attributes of patient motivation are a psychological drive, a desire to adopt healthy behaviors, and goal-directed action. Antecedents of patient motivation are self-efficacy, provider-patient communication, and social support. Patient motivation leads to consequences, including healthier lifestyles and greater adherence and compliance.

Conclusion

The present concept analysis draws upon current literature to suggest the antecedents, attributes, and consequences of patient motivation. Nurses can promote healthier lifestyles and greater adherence and compliance among patients by employing techniques to raise self-efficacy and provide social support while enhancing patient-centered interactions.

Health Literacy Directed Weight Loss Intervention in Primary Care Clinics

BACKGROUND

Low income and low health literacy are associated with poorer health knowledge, health behaviors and poor health outcomes. The effectiveness of health literacy-directed weight loss treatment interventions in primary care clinics is lacking.

OBJECTIVE

The aim of this study was to conduct a pragmatic cluster-randomized trial (PROmoting Successful Weight Loss in Primary CarE in Louisiana ([PROPEL]) to test the effectiveness of a 24-month, patient-centered, literacy-directed obesity treatment program delivered within primary care in an underserved population. This study reports the association between health literacy and program effectiveness, examining potential correlates of weight loss related to patient adherence to the program.

METHODS

We randomly assigned 18 clinics to usual care (UC) or a health literacy-directed lifestyle intervention (HLI). The primary outcome was percent weight loss at 24 months.

KEY RESULTS

Of 803 adult participants (84% women; 67% Black), 31% had limited health literacy. Patients in UC lost an average of 0.44%of their enrollment weight after 24 months. Those with adequate literacy lost 0.57% and those with limited literacy lost 0.30%, which was not significantly different. The HLI patient group lost an average of 4.9% of their enrollment weight. Those with adequate literacy lost 5.2% and those with limited literacy, 4.7%, which was not significantly different. The advantage of adequate health literacy was consistent across the 24-month study period, though not significant. Patients in the HLI group with adequate health literacy had greater percent weight loss by a margin of 0.50 ± 0.75 (p = .50), while the UC margin was 0.27 ± 0.84 (p = .74). The percent weight loss difference between HLI and UC groups was 4.6 ± 0.8 (p < .001) among patients with adequate health literacy and 4.4 ± 1.0 (p < .001) among patients with limited health literacy. The difference in percent weight loss between the HLI and UC groups was 0.2 ± 1.1 (p = .84) higher for adequate literacy patients.

CONCLUSIONS

A health literacy directed health coaching intervention in community clinics led to significant weight loss over 24 months but did not vary by level of patient health literacy. [HLRP: Health Literacy Research and Practice. 2024;8(4):e204-e211.].

The Effect of Probiotics on Obesity with Comorbid Depression: A Systematic Review and Meta-Analysis

Aims/Background Obesity and depression frequently co-occur, and the relationship between them is bidirectional. Being obese or overweight increases the risk of depression, and conversely, depression increases the risk of obesity or overweight. Emerging clinical research has shown that probiotics may be effective in treating obesity and associated depression. Modulating gut microbiota with probiotics may improve obesity-related depression, but current evidence is inconsistent. Methods We systematically searched PubMed, EMBASE, Web of Science, and Cochrane Library for randomized controlled trials examining probiotics for depression in obese adults. Mean difference (MD) in depression scores between probiotic and placebo groups was pooled across studies using random-effects models. Heterogeneity was assessed using I2 to explain heterogeneity in meta-regression analysis. To detect the publication bias of the included studies, a funnel plot, and Begg and Egger tests, were used. Possible heterogeneity moderators were detected by subgroup and sensitivity analyses, Galbraith plot, and graphic display of study heterogeneity (GOSH) analysis. Leave-one-out and Influence analyses were performed to assess sensitivity. Results Five trials (n = 488) were included. Overall, probiotics did not significantly improve depressive symptoms versus placebo (MD = 0.08, 95% confidence interval [CI] = -0.63 to 0.79, p = 0.82). Considerable heterogeneity among studies was observed (I2 = 63%). In subgroup analyses, probiotics significantly reduced depression as measured by the Edinburgh Postnatal Depression Scale (MD = -0.60, 95% CI = -1.17 to -0.03, p = 0.04) with no heterogeneity (I2 = 0%). Probiotics also decreased depressive symptoms after 12 weeks of supplementation (MD = -0.78, 95% CI = -1.58 to -0.01, p = 0.05) versus placebo. No publication bias was found using Begg and Egger tests. The GOSH diagnostics revealed three outliers, among the clusters identified by K-means, DBSCAN (Density-based spatial clustering of applications with noise algorithm), and GMM (Gaussian Mixture Model) analyses. Conclusion Overall, probiotics did not improve depressive symptoms in obesity. However, beneficial effects were observed with the Edinburgh Postnatal Depression Scale and short-term use of probiotic. Additional rigorous randomized controlled trials are warranted to elucidate the therapeutic potential of probiotics for obesity-related depression.

Neural Conversational Agent for Weight Loss Counseling: Protocol for an Implementation and Feasibility Study

BACKGROUND

Obesity is a common, serious and costly chronic disease. Current clinical practice guidelines recommend that providers augment the longitudinal care of people living with obesity with consistent support for the development of self-efficacy and motivation to modify their lifestyle behaviors. Lifestyle behavior change aligns with the goals of motivational interviewing (MI), a client-centered yet directive counseling modality. However, training health care providers to be proficient in MI is expensive and time-consuming, resulting in a lack of trained counselors and limiting the widespread adoption of MI in clinical practice. Artificial intelligence (AI) counselors accessible via the internet can help circumvent these barriers.

OBJECTIVE

The primary objective is to explore the feasibility of conducting unscripted MI-consistent counseling using Neural Agent for Obesity Motivational Interviewing (NAOMI), a large language model (LLM)-based web app for weight loss counseling. The secondary objectives are to test the acceptability and usability of NAOMI's counseling and examine its ability to shift motivational precursors in a sample of patients with overweight and obesity recruited from primary care clinics.

METHODS

NAOMI will be developed based on recent advances in deep learning in four stages. In stages 1 and 2, NAOMI will be implemented using an open-source foundation LLM and (1) few-shot learning based on a prompt with task-specific instructions and (2) domain adaptation strategy based on fine-tuning LLM using a large corpus of general psychotherapy and MI treatment transcripts. In stages 3 and 4, we will refine the best of these 2 approaches. Each NAOMI version will be evaluated using a mixed methods approach in which 10 adults (18-65 years) meeting the criteria for overweight or obesity (25.0≥BMI≤39.9) interact with NAOMI and provide feedback. NAOMI's fidelity to the MI framework will be assessed using the Motivational Interviewing Treatment Integrity scale. Participants' general perceptions of AI conversational agents and NAOMI specifically will be assessed via Pre- and Post-Interaction Questionnaires. Motivational precursors, such as participants' confidence, importance, and readiness for changing lifestyle behaviors (eg, diet and activity), will be measured before and after the interaction, and 1 week later. A qualitative analysis of changes in the measures of perceptions of AI agents and counselors and motivational precursors will be performed. Participants will rate NAOMI's usability and empathic skills post interaction via questionnaire-based assessments along with providing feedback about their experience with NAOMI via a qualitative interview.

RESULTS

NAOMI (version 1.0) has been developed. Participant recruitment will commence in September 2024. Data collection activities are expected to conclude in May 2025.

CONCLUSIONS

If proven effective, LLM-based counseling agents can become a cost-effective approach for addressing the obesity epidemic at a public health level. They can also have a broad, transformative impact on the delivery of MI and other psychotherapeutic treatment modalities extending their reach and broadening access.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

PRR1-10.2196/60361.

Automated Behavioral Coding to Enhance the Effectiveness of Motivational Interviewing in a Chat-Based Suicide Prevention Helpline: Secondary Analysis of a Clinical Trial

BACKGROUND

With the rise of computer science and artificial intelligence, analyzing large data sets promises enormous potential in gaining insights for developing and improving evidence-based health interventions. One such intervention is the counseling strategy motivational interviewing (MI), which has been found effective in improving a wide range of health-related behaviors. Despite the simplicity of its principles, MI can be a challenging skill to learn and requires expertise to apply effectively.

OBJECTIVE

This study aims to investigate the performance of artificial intelligence models in classifying MI behavior and explore the feasibility of using these models in online helplines for mental health as an automated support tool for counselors in clinical practice.

METHODS

We used a coded data set of 253 MI counseling chat sessions from the 113 Suicide Prevention helpline. With 23,982 messages coded with the MI Sequential Code for Observing Process Exchanges codebook, we trained and evaluated 4 machine learning models and 1 deep learning model to classify client- and counselor MI behavior based on language use.

RESULTS

The deep learning model BERTje outperformed all machine learning models, accurately predicting counselor behavior (accuracy=0.72, area under the curve [AUC]=0.95, Cohen κ=0.69). It differentiated MI congruent and incongruent counselor behavior (AUC=0.92, κ=0.65) and evocative and nonevocative language (AUC=0.92, κ=0.66). For client behavior, the model achieved an accuracy of 0.70 (AUC=0.89, κ=0.55). The model's interpretable predictions discerned client change talk and sustain talk, counselor affirmations, and reflection types, facilitating valuable counselor feedback.

CONCLUSIONS

The results of this study demonstrate that artificial intelligence techniques can accurately classify MI behavior, indicating their potential as a valuable tool for enhancing MI proficiency in online helplines for mental health. Provided that the data set size is sufficiently large with enough training samples for each behavioral code, these methods can be trained and applied to other domains and languages, offering a scalable and cost-effective way to evaluate MI adherence, accelerate behavioral coding, and provide therapists with personalized, quick, and objective feedback.

Japan's intensive health guidance program has limited effects on cardiovascular risk factors: a regression discontinuity analysis

OBJECTIVES

It is uncertain whether the effects of health counselling programs differ depending on their intensity. This study compared the effectiveness of intensive health guidance (IHG) and less intensive motivation-enhancing guidance (MEG) on cardiovascular risk factors.

STUDY DESIGN

A regression discontinuity design (RDD) was applied.

METHODS

In Japan's specific health checkup (SHC) and guidance program, those with a high risk of metabolic syndrome are assigned to IHG or MEG. An RDD was applied using an SHC results database. Four groups were created in which IHG or MEG assignment was solely determined by single cut-off values of the running variables of triglycerides (TGs), high-density lipoprotein cholesterol (HDL-C), fasting blood glucose (FBG), or haemoglobin A1c (HbA1c) measured during SHC. Outcomes were one year's changes in body mass index (BMI), waist circumference (WCF), systolic and diastolic blood pressure, HDL-C, low-density lipoprotein cholesterol, FBG, and HbA1c.

RESULTS

A total of 541,809 observations among 225,115 people from 2008 to 2017 were analysed. Men assigned to IHG had a significantly but slightly lower BMI and WCF than those assigned to MEG the next year, only when TG or FBG was a running variable. There were no significant differences between IHG and MEG for women's BMI and WCF and other cardiovascular risk factors for both sexes.

CONCLUSION

Since IHG has limited additional effects on cardiovascular risk factors compared with MEG, abolishing IHG may have little negative impact on the general public's health.

Obesity

Obesity is a common condition and a major cause of morbidity and mortality. Fortunately, weight loss treatment can reduce obesity-related complications. This review summarizes the evidence-based strategies physicians can employ to identify, prevent, and treat obesity, including best practices to diagnose and counsel patients, to assess and address the burden of weight-related disease including weight stigma, to address secondary causes of weight gain, and to help patients set individualized and realistic weight loss goals and an effective treatment plan. Effective treatments include lifestyle modification and adjunctive therapies such as antiobesity medications and metabolic and bariatric surgery.

Reexamining the complex issue of obesity in childhood: A new guideline and patient-focused approach

ABSTRACT

Obesity in childhood is a complex, multifaceted condition with various contributors, including genetic, environmental, socioeconomic, and physiologic factors. The latest guidelines recommend annual evaluation beginning at age 2 years. Treatment strategies should be family focused and should target nutrition, physical activity, and behavior.

Motivational interviewing for preventing oral morbidities in adults: Systematic review and meta-analysis

OBJECTIVE

This systematic review with meta-analysis was performed to assess whether motivational interviewing (MI) effectively prevents oral morbidities in adults.

METHODS

Studies considered were randomized controlled trials, cluster-randomized controlled trials and community-based randomized trials assessing interventions based on MI or indicating that a counselling technique based on the principles developed by Miller and Rollnick was used. Controls were any type of oral health education or negative controls. Participants were 18-60 years old. The main outcome was any oral morbidity. From 602 studies identified in MEDLINE, Scopus, Web of Science and LILACS databases, seven studies were included in the synthesis.

RESULTS

Studies included only evaluated periodontal outcomes, no studies were found for other oral morbidities. Patients' mean age was 43.7 years, and the follow-up time after MI or MI-based intervention varied between 1 month and 1 year. The total study population was 272 people with moderate-to-severe periodontitis; other groups analysed were pregnant women (n = 112) and patients with mental disorders and alcohol problems (n = 60). Meta-analysis for the plaque index (four studies, n = 267), bleeding on probing (two studies, n = 177) and gingival index (two studies, n = 166) were carried out. The summary effects for the random-effects model were estimated respectively as -3.59 percentage points (CI: [-11.44; 4.25] for plaque index, -6.41 percentage points (CI: [-12.18, -0.65]) for bleeding on probing and -0.70 (CI: [-1.87; 0.48]) for gingival index, marginally favouring the MI group. The reduced number of studies, the non-disclosure of some aspects of the data and the heterogeneity among them undermine the precision of the estimates.

CONCLUSION

The current evidence available is limited to periodontal outcomes, and it is not possible to determine whether MI effectively prevents oral morbidities in adults.

A paradigm shift in cystic fibrosis nutritional care: Clinicians' views on the management of patients with overweight and obesity

BACKGROUND

Overweight and obesity among people with cystic fibrosis (pwCF) has become more prevalent since the widespread adoption of CF transmembrane conductance regulator (CFTR) modulator therapies and presents a new challenge for nutritional care. We aimed to explore how clinicians working in CF care approach the management of adults with overweight and obesity.

METHODS

We conducted semi-structured interviews with n = 20 clinicians (n = 6 physiotherapists, n = 6 doctors and n = 8 dietitians) working in 15 adult CF centres in the United Kingdom. The interviews explored their perspectives and current practices caring for people with CF and overweight/obesity. Data were analysed using reflexive thematic analysis.

RESULTS

Four main themes were identified: 1) challenges of raising the topic of overweight and obesity in the CF clinic (e.g., clinician-patient rapport and concerns around weight stigma); 2) the changing landscape of assessment due to CF-specific causes of weight gain: (e.g., impact of CFTR modulators and CF legacy diet) 3) presence of clinical equipoise for weight management due to the lack of CF-specific evidence on the consequences of obesity and intentional weight loss (e.g., unclear consequences on respiratory outcomes and risk of weight related co-morbidities) and 4) opportunities for a safe, effective, and acceptable weight management treatment for people with CF (e.g., working collaboratively with current multidisciplinary CF care).

CONCLUSIONS

Approaching weight management in the CF setting is complex. Trials are needed to assess the equipoise of weight management interventions in this group and CF-specific issues should be considered when developing such interventions.

Behavioral and Psychological Factors Affecting Weight Loss Success

PURPOSE OF REVIEW

There is a large variability between individuals in the weight loss response to any given diet treatment, which fuels interest into personalized or precision nutrition. Although most efforts are directed toward identifying biological or metabolic factors, several behavioral and psychological factors can also be responsible for some of this interindividual variability.

RECENT FINDINGS

There are many factors that can influence the response to dietary weight loss interventions, including factors related to eating behavior (emotional eating, disinhibition, restraint, perceived stress), behaviors and societal norms related to age and sex, psychological and personal factors (motivation, self-efficacy, locus of control, self-concept), and major life events. The success of a weight loss intervention can be influenced by many psychological and behavioral constructs and not merely by physiological factors such as biology and genetics. These factors are difficult to capture accurately and are often overlooked. Future weight loss studies should consider assessing such factors to better understand the underlying reasons for the large interindividual variability to weight loss therapy.

The effects of motivational interviewing on hypertension management: A systematic review and meta-analysis

OBJECTIVE

This systematic review aimed to examine the effects of motivational interviewing-based interventions on hypertension management.

METHODS

Six databases were searched from inception to 25 July, 2022 for randomized controlled trials involving adults diagnosed with hypertension and including motivational interviewing in the treatment interventions.

RESULTS

In total, 11 studies with 2121 participants were included. Compared with no or minimal additional intervention, motivational interviewing-based intervention showed greater reduction in systolic blood pressure (MD: -6.56, 95 % CI: -10.51, -2.62, P = 0.001) and diastolic blood pressure (MD: -3.75, 95 % CI: -4.92, -2.58, P < 0.001). Compared with the lower intensity intervention, motivational interviewing-based intervention produced statistically significant effect on reducing systolic blood pressure (MD: -2.72, 95 % CI: -5.34, -0.10, P = 0.040); while there was no significant effect on reducing diastolic blood pressure (MD: -0.47, 95 % CI: -2.21, 1.28, P = 0.600). Four out of six studies demonstrated medication adherence significantly improved following motivational interviewing-based intervention. Two studies included self-efficacy and quality of life, and inconsistent findings were observed.

CONCLUSION

Motivational interviewing could be effective in improving blood pressure control among patients with hypertension. Future studies with more rigorous study designs should be conducted to confirm the effects of motivational interviewing on medication adherence and psychological well-being.

PRACTICE IMPLICATIONS

Motivational interviewing could be applied as a promising intervention strategy among patients with hypertension.