The Role of Psychological Well-Being in Weight Loss: New Insights from a Comprehensive Lifestyle Intervention

Impact of a Health Coach-Led, Text-Based Digital Behavior Change Intervention on Weight Loss and Psychological Well-Being in Patients Receiving a Procedureless Intragastric Balloon Program: Prospective Single-Arm Study

BACKGROUND

Digital health interventions show promise for weight management. However, few text-based behavior change interventions have been designed to support patients receiving intragastric balloons, and none have simultaneously evaluated weight loss, psychological well-being, and behavior change despite the crucial interplay of these factors in weight management.

OBJECTIVE

This study aims to assess whether a health coach-led, asynchronous, text-based digital behavior change coaching intervention (DBCCI) delivered to participants receiving an intragastric balloon and its aftercare program was feasible and acceptable to participants and supported improved outcomes, including weight loss, psychological well-being, and lifestyle behavior change conducive to weight loss maintenance.

METHODS

This 12-month, single-arm prospective study enrolled adults aged 21 to 65 years with BMI ≥27 kg/m2 receiving a procedureless intragastric balloon (PIGB) at 5 bariatric clinics in the United Kingdom and the Netherlands. Participants received the DBCCI and the clinic-led PIGB aftercare program (remotely delivered) for 6 months after PIGB placement and then no intervention for an additional 6 months. The DBCCI was an evidence-based, personalized intervention wherein health coaches supported participants via exchanged asynchronous in-app text-based messages. Over the 12-month study, we assessed percentage of total body weight loss and psychological well-being via self-administered validated questionnaires (Warwick-Edinburgh Mental Wellbeing Scale, Generalized Anxiety Disorder Scale, Impact of Weight on Quality of Life-Lite-Clinical Trials Version, Loss of Control Over Eating Scale-Brief, Weight Efficacy Lifestyle Questionnaire-Short Form, and Barriers to Being Active Quiz). Participant engagement with and acceptability of the intervention were assessed via self-reported surveys.

RESULTS

Overall, 107 participants (n=96, 89.7% female; mean baseline BMI 35.4, SD 5.4 kg/m2) were included in the analysis. Mean total body weight loss was 13.5% (SEM 2.3%) at the end of the DBCCI and 11.22% (SEM 2.3%) at the 12-month follow-up (P<.001). Improvements were observed for all psychological well-being measures throughout the 12 months except for the Generalized Anxiety Disorder Scale (improvement at month 1) and Barriers to Being Active Quiz (improvements at months 3 and 6). Surveys showed high levels of engagement with and acceptability of the DBCCI.

CONCLUSIONS

This study provides evidence that the health coach-led, asynchronous, text-based DBCCI was engaging and acceptable to participants with overweight and obesity. The DBCCI, delivered alongside the PIGB and its aftercare program, supported improved weight loss outcomes and psychological well-being versus baseline and was associated with lifestyle behavior changes known to help achieve and maintain long-term weight loss and improved health outcomes. Follow-up findings suggest a potential need for longer-term, more intense coaching to focus on weight loss maintenance and support ongoing self-coaching. This could be achieved by leveraging generative artificial intelligence to provide ongoing automated behavior change coaching support to augment human-led care.

TRIAL REGISTRATION

ClinicalTrials.gov NCT05884606; https://clinicaltrials.gov/study/NCT05884606.

An intervention based on Well-Being Therapy to prevent alcohol use and other unhealthy lifestyle behaviors among students: a three-arm cluster randomized controlled trial

Unhealthy lifestyle, such as alcohol use, and negative health outcomes have been associated with impairments in psychological well-being. The primary objective of the study was to test the efficacy of an intervention based on Well-Being Therapy to prevent or stem alcohol use, binge drinking and other unhealthy lifestyle among Italian adolescents in school settings. A three-arm cluster randomized controlled trial including three test periods (baseline, post-test, six-month follow-up) was implemented. Seven classes (144 students) were randomly assigned to receive well-being intervention (WBI), lifestyle intervention (LI), or no intervention (NI). Primary outcomes were alcohol use (AUDIT-C), binge drinking and other unhealthy lifestyle behaviors (i.e. unhealthy diet, physical inactivity, tobacco and cannabis smoking, poor sleep and Internet addiction). Linear mixed models and mixed-effects logistic regression were used to test the efficacy of WBI in comparison with LI and NI. At six-month follow-up, AUDIT-C total score increased more in NI in comparison with WBI (p = 0.044) and LI (p = 0.016), whereas the odds of being classified as at-risk drinker were lower in WBI (p = 0.038) and LI (p = 0.002), than NI. Only WBI showed a protective effect for cannabis use at post-test in comparison with NI (p = 0.003) and LI (p = 0.014). Sleep hours at night decreased more in NI than in LI (p = 0.027) at six months. Internet addiction decreased more in WBI (p = 0.002) and LI (p = 0.005) at post-test in comparison with NI. Although both interventions showed a positive impact on adolescent lifestyle, the positive effect of WBI on cannabis use underlines how this approach might be promising to stem adolescents' substance use.

Attention-Deficit/Hyperactivity Disorder and Unhealthy Lifestyle in Adolescence: Unforeseen Role of Allostatic Overload and Psychological Well-Being

Unhealthy lifestyle behaviors (ULBs) are common in early adolescence and could be worsened by Attention-Deficit/Hyperactivity Disorder (ADHD), as well as by specific psychosocial factors, such as stress and unbalanced (i.e., too high or low scores of) psychological well-being (PWB) dimensions. This multi-center study aimed to evaluate how interactions between ADHD symptoms and psychosocial factors associated with ULBs (i.e., Allostatic Overload and multidimensional Psychological Well-Being), considered as moderators, could affect the adoption of ULBs during adolescence. A total of 440 fourteen-year-old adolescents were recruited from six upper secondary schools in Bologna and Rome (Italy) and completed self-report questionnaires on ULBs, ADHD, and psychosocial factors. Relations between ADHD symptomatology and specific ULBs (i.e., impaired sleep, problematic Internet use) were moderated by variables deemed as "negative" (i.e., Allostatic Overload) or "positive" (i.e., PWB dimensions of Self-Acceptance, Personal Growth, Positive Relations, Purpose in Life, Environmental Mastery): when the "negative" moderator is absent and the levels of the "positive" moderators are higher, ULBs decrease among students with lower ADHD symptomatology but increase among students with more severe ADHD. Based on ADHD severity, interventions should aim at promoting a state of euthymia, which consists in balanced PWB dimensions and reflects the optimal level of well-being to fulfill one's own potential and self-realization.

Effectiveness of including weight management in smoking cessation treatments: A meta-analysis of behavioral interventions

INTRODUCTION

The potential of weight gain after smoking cessation reduces the incentive to quit. This meta-analysis examines the efficacy of behavioral interventions for smoking cessation that also address post-cessation weight gain.

METHODS

Medline, Web of Science, PsycINFO, and the Cochrane Central Register of Controlled Trials were searched for randomized controlled trials on behavioral treatments targeting both health outcomes. Six separate meta-analyses were undertaken to assess treatment efficacy on smoking abstinence and weight outcomes at end of treatment (EOT), short-term, and long-term follow-up. Individual and treatment moderators were examined as well as methodological quality and publication bias of studies.

RESULTS

A total of 28 studies were included in the meta-analysis. There was a statistically significant positive impact of treatments addressing both targets on smoking outcomes at EOT (RR = 1.279, 95% CI: 1.096, 1.492, p = .002), but not at follow-ups. Age impacted on EOT abstinence rates Q (1) = 4.960, p = .026) while increasing the number of sessions significantly improved EOT abstinence rates (p = .020). There was no statistically significant impact of these treatments on weight at EOT (Hedges' g = -0.015, 95% CI: -.164, 0.135, p = .849) or follow-ups (short term: Hedges' g = 0.055, 95% CI: -0.060, 0.170, p = .347; long term: Hedges' g = -0.320, 95% CI: -.965, 0.325, p = .331). There were minimal impacts of publication bias, mostly related to sample size, meaning studies including small sample sizes revealed larger effect sizes on abstinence at EOT.

DISCUSSION

Addressing post-cessation weight management in treatments for smoking cessation significantly enhances tobacco abstinence at EOT though it was not found to have a lasting impact after treatment.

Lifestyle, psychological well-being, and body mass index of indigenous women

Lifestyle, psychological well-being, and body mass index of indigenous women. Introduction. Obesity is more common in women and has also been found to be present in indigenous populations. During university studies, obesity-related lifestyles are in the process of consolidation, and although this is known, research is limited to addressing physical activity and diet, ignoring other lifestyle components, such as life appreciation. Additionally, there is a need to corroborate whether psychological well-being contributes to excess weight in indigenous women. Objective. To determine whether there is an association between lifestyle, psychological well-being, and body mass index (BMI) in indigenous women. Materials and methods. A cross-sectional study was conducted among 110 female Zapotec university students in Juchitán, Oaxaca, Mexico. The Psychological Well-Being Scale, the Healthy Lifestyle Scale for University Students, and a questionnaire about personal data were used. Body weight and height were measured to calculate BMI. Results. There was a negative correlation between BMI, self-acceptance (r = -0.33; p < 0.01), and life appreciation (r = -0.22; p < 0.05). Positive correlations were found between lifestyle and psychological well-being dimensions, with the strongest correlations being observed between life appreciation and purpose in life (r = 0.55) and self-acceptance (r = 0.48). The multivariable models determined that life appreciation and self-acceptance are associated with BMI. Conclusion. Life appreciation and self-acceptance are predictors of BMI and are even more strongly associated than exercise and nutrition behaviors.