Effectiveness of Different Online Intervention Modalities for Middle-Aged Adults with Overweight and Obesity: A 20-Year Systematic Review and Meta-analysis DOI
Kyung Jung Han, Mansoo Yu, Omoshola Kehinde

et al.

Journal of Prevention, Journal Year: 2023, Volume and Issue: unknown

Published: Dec. 20, 2023

Language: Английский

Why People with Overweight and Obesity Are Seeking Care Through Digital Obesity Services: A Qualitative Analysis of Patients from Australia’s Largest Digital Obesity Provider DOI Creative Commons
Louis Talay,

Matt Vickers,

Sarah Loftus

et al.

Telemedicine Reports, Journal Year: 2024, Volume and Issue: 5(1), P. 187 - 194

Published: April 1, 2024

Language: Английский

Citations

9

Effectiveness of an Email-Based, Semaglutide-Supported Weight-Loss Service for People with Overweight and Obesity in Germany: A Real-World Retrospective Cohort Analysis DOI Creative Commons
Louis Talay,

Matt Vickers,

Laura Ruiz

et al.

Obesities, Journal Year: 2024, Volume and Issue: 4(3), P. 256 - 269

Published: July 24, 2024

Quality glucose-like peptide-1 receptor agonist (GLP-1 RA)-supported digital weight-loss services (DWLSs) have the potential to play a significant role in shifting alarming global obesity rate. Previous studies demonstrated various aspects of their utility Australian and British populations, but nothing has hitherto been investigated real-world European settings, where GLP-1 RA weight therapy healthcare are widely used. This study retrospectively analysed 5-month (Mean = 160.14 days) outcomes cohort patients who received email-based health coaching Semaglutide via Juniper Germany DWLS (n 833). Mean loss was 9.52 (±5.46) percent, with 81.51% losing ‘meaningful’ (5% or more) amount weight. Females 9.75) tended lose more than males 8.41) from lowest two BMI categories (27.5–29.99 kg/m2 10.1; 30–34.99 9.74) lost significantly those highest category (≥40 8.11). These findings indicate that RA-supported DWLSs can contribute meaningful Germany. Future research should seek conduct dedicated adherence analysis measure effect subsidisation baseline body mass index on general effectiveness.

Language: Английский

Citations

7

Patient Adherence to a Real-World Digital, Asynchronous Weight Loss Program in Australia That Combines Behavioural and GLP-1 RA Therapy: A Mixed Methods Study DOI Creative Commons
Louis Talay,

Matt Vickers

Behavioral Sciences, Journal Year: 2024, Volume and Issue: 14(6), P. 480 - 480

Published: June 6, 2024

Increasingly large numbers of people are using digital weight loss services (DWLSs) to treat being overweight and obesity. Although it is widely agreed that modalities improve access care in general, obesity stakeholders remain concerned many DWLSs not comprehensive or sustainable enough deliver meaningful health outcomes. This study adopted a mixed methods approach assess why after how long patients tend discontinue Australia’s largest DWLS, program combines behavioural pharmacological therapy under the guidance multidisciplinary team. We found cohort who commenced Eucalyptus DWLS between January June 2022 (n = 5604), mean adherence was 171.2 (±158.2) days. Inadequate supplying patient’s desired glucose-like peptide-1 receptor agonist medication most common reason for discontinuation (43.7%), followed by cost (26.2%), result dissatisfaction (9.9%), service (7.2%). Statistical tests revealed ethnicity age both had significant effect on patient adherence. These findings suggest have potential comprehensive, continuous care, but models need upon one observed Australia mitigate real-world attrition factors.

Language: Английский

Citations

6

Predicting early user churn in a public digital weight loss intervention DOI Creative Commons
Robert Jakob, Nils Lepper, Elgar Fleisch

et al.

Published: May 11, 2024

Digital health interventions (DHIs) offer promising solutions to the rising global challenges of noncommunicable diseases by promoting behavior change, improving outcomes, and reducing healthcare costs. However, high churn rates are a concern with DHIs, many users disengaging before achieving desired outcomes. Churn prediction can help DHI providers identify retain at-risk users, enhancing efficacy DHIs. We analyzed models for weight loss app using various machine learning algorithms on data from 1,283 310,845 event logs. The best-performing model, random forest model that only used daily login counts, achieved an F1 score 0.87 day 7 identified average 93% churned during week-long trial. Notably, higher-dimensional performed better at low false positive rate thresholds. Our findings suggest user be forecasted engagement data, aiding in timely personalized strategies results.

Language: Английский

Citations

4

Coach-Assisted eHealth with Group or Individual Support for Employees with Obesity: A Randomized Controlled Trial on Weight, Body Composition, and Health Metrics (Preprint) DOI Creative Commons
Siniriikka A Männistö, Kirsi H. Pietiläinen, Joona Muotka

et al.

Journal of Medical Internet Research, Journal Year: 2025, Volume and Issue: 27, P. e60436 - e60436

Published: Jan. 29, 2025

Acceptance and commitment therapy provides a psychobehavioral framework feasible for digital hybrid weight loss interventions. In face-to-face studies, group-based interventions yield more favorable outcomes than individual interventions, but the effect of intervention form has not been studied in combination with eHealth. This study investigated whether minimal, 3-session group or enhancement could provide additional benefits compared to an eHealth-only when assessing weight, body composition, laboratory metrics sample occupational health patients obesity. was randomized controlled trial 12-month intervention, followed by follow-up period without support (March 2021 March 2023). Recruited from care Finnish municipal employees, 111 working-age adults BMI 30-40 kg/m2 were 1 3 treatment arms: eHealth, eHealth+group, eHealth+individual. All arms received web-administrated, coach-assisted eHealth program based on acceptance therapy, additionally, eHealth+group eHealth+individual remotely facilitated meetings their designated coach. The participants assessed blood pressure, measurements at 0-, 6-, 12-, 24-month time points. Applying estimated means decrease bias caused dropouts, generalized estimating equations used differences between groups over time. There no between-group primary change categorical change. Secondary also did show changes attributable arm. Across entire sample, total 1.5% during 18% (20/111) attaining ≥5% loss. Sustained follow-up, waist circumference decreased, high-density lipoprotein cholesterol increased slightly. completed, average, 58.6% program. other somatic variables arm combining minimal enhancement. Despite modest overall loss, shows promise improving composition metabolic health. Moving forward, further research is needed determine if there threshold where Moreover, need explore whom under what conditions models may be most effective. ClinicalTrials.gov NCT04785586; https://clinicaltrials.gov/study/NCT04785586.

Language: Английский

Citations

0

Evaluation of Intermittent Restricted Eating Using the Interval Weight Loss Online Platform in an Everyday Setting DOI Open Access
Marijka Batterham, Bradley Wakefield

Nutrients, Journal Year: 2025, Volume and Issue: 17(2), P. 332 - 332

Published: Jan. 17, 2025

Background/Objectives: Obesity remains a global health challenge. Many commercial online weight loss programs are available, and they have advantages in terms of scalability access. Few these been evaluated for effectiveness real-world context. This study reports on the achieved, platform engagement, characteristics successful predictions subscribers to Interval Weight Loss (IWL) program. The program promotes intermittent restricted eating addition lifestyle changes diet composition, exercise, sleep. Methods: Data 1705 adults subscribing >30 days between 2019 2024 were included analysis. A linear mixed model with polynomial was used over time interaction gender age. Survival analysis proportions frame those meeting 2%, 5%, 10% targets proportion their goal weight. focus effect at 365 days. Descriptive data from subset participants (n = 205) who completed questionnaire about change habits mood also presented. Results: Of stayed least days, 25.4% achieved weight, 17.6% loss, 62% 5% loss. By 49 50% had lost 2% Significant interactions indicated that males females 60s 70s most responsive Conclusions: based resulted significant cohort setting.

Language: Английский

Citations

0

Impacts of Behavioral Compliance on Weight-Loss and Metabolic Profile in a Smartphone App-Based Lifestyle Intervention or Plus Dietitian Supporting: A Randomized and Controlled Trial Among Chinese DOI Creative Commons
Xue Li, Ling Lu, Liang Sun

et al.

Phenomics, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 30, 2025

Language: Английский

Citations

0

Personalizing a weight loss program with cognitive-behavioral phenotypes – effect on program engagement and weight loss: quasi-experimental study in a real-world setting (Preprint) DOI Creative Commons
Joanna Szypula, Andreas Jarvstad, Lucy Jones

et al.

Published: Feb. 14, 2025

BACKGROUND Obesity remains a critical public health challenge, requiring innovative strategies to improve weight loss. Although preliminary evidence indicates that tailoring interventions both cognitive and behavioral factors may enhance engagement effectiveness, most research has focused on these elements in isolation. With the increasing scalability convenience of digital loss programs, developing reliable methods for automated personalization become essential. To address this, we constructed questionnaire assigns patients cognitive-behavioral phenotypes, enable tailored advice. This study evaluates effectiveness this approach improving patient within intervention. OBJECTIVE assess whether sending personalized advice can increase program lead greater METHODS A quasi-experimental design was employed. Patients were sent 17-item which matched them one four profiles (phenotypes). Those who completed phenotype-tailored once per week. As part their program, used an app track meals activities. Number in-app events (i.e. engagements) as proxy measure engagement. Self-reported submitted structured program. Outcomes compared historical cohort participated same year earlier, those invitation complete but did not non-responders). RESULTS received generated significantly more engagements (M=257, SD=232), than (M=159, SD=187; P<.001), non-responders (M=135, SD=198; P<.001). There trend towards (M=-2.23kg, SD=7.97), (M=-1.6kg, SD=5.39), (M=-0.69kg, SD=13.23) differences significant, (P=.29 P=.23, respectively). CONCLUSIONS provides receiving individual’s phenotype could turn support body mass reduction.

Language: Английский

Citations

0

Development of a health-tracking tool for the Brazilian population: a pilot study with Brazilian women DOI Creative Commons

Carolina Vieira de Mello Barros Pimentel,

Márcia Fábia Andrade, Marina de Castro Coêlho

et al.

BMC Public Health, Journal Year: 2025, Volume and Issue: 25(1)

Published: March 4, 2025

Mobile apps can promote different behavioral interventions, thus decreasing preventable health problems. Challenges persist in ensuring the quality and reliability of these applications, as few have undergone rigorous scientific evaluation. Additionally, scientifically validated questionnaires on well-being, adapted for general public, are available literature. The objective this study was to test validate a assessment instrument based literature, previously Brazilian population. tracking tool tested with healthy women, 18 50 years old. constructed 29-question online form comprising 5 main clusters or "pillars" individual health: health, diet nutrition, movement activity, sleep, mental health. original versions two sections (Sleep Mental Health) were applied subsample participants compare intra-individual variability. Data from "Mental Health" "Sleep" rigorously normality Pearson's correlation performed results intra-individually. Chi-Square McNemar tests employed pair categorical data account correspondence between answers forms questionnaires. Seventy-one women answered proposed average completion time 12-20 min. mean scores diet, movement, similar those which questions taken. exhibited divergences concerning classification results. improved after revising some (r = 0.9287; p < 0.0001). present demonstrate that is valid reliable assessing intended five pillars Studies larger sample sizes other populations encouraged.

Language: Английский

Citations

0

Guideline-based digital exercise interventions for body weight and fat reduction and physical activity promotion in adults with overweight and obesity: A systematic review (Preprint) DOI Creative Commons
Mohamad Motevalli, Clemens Drenowatz, Derrick Tanous

et al.

Published: March 9, 2025

BACKGROUND Digital exercise interventions are increasingly popular in addressing the obesity epidemic. However, there remains uncertainty on efficacy regarding reduction of body weight (BW) and fat, which may, at least partly, be due to variations study designs inconsistent adherence international physical activity (PA) guidelines. OBJECTIVE This systematic review aimed evaluate effectiveness digital based PA guidelines reducing BW fat overweight/obese adults, as well their impact PA-related factors. METHODS was prospectively registered PROSPERO (CRD42024620020) conducted following PRISMA A series comprehensive searches performed October 2024 across PubMed, Cochrane Library, Web Science, OVID Medline. Eligible studies included adults (≥18 years) with objectively confirmed overweight or who utilized aligned Risk bias evaluated using RoB 2 tool for randomized controlled trials ROBINS-I non-randomized studies. RESULTS Out 4,948 identified through Boolean search strategy, 188 were retrieved full-text screening, 30 met predefined eligibility criteria. Intervention durations ranged from eight weeks 24 months (average: 6.6 months). Fourteen used structured programs, while other incorporated flexible PA/exercise routines intervention programs resulted significant reductions (22/25 studies, range: -1.3 -8.4 kg), mass index (19/23 -0.4 -3.4 kg/m2), waist circumference (15/16 -2.1 -9.2 cm), percentage (9/9 -0.3% -4.1%), (7/7 -6.5 kg). Results waist-to-hip ratio outcomes inconsistent. Compared passive controls, results revealed a clear pattern significantly weight- fat-related outcomes, when measured against active usual care controls. No trend observed between duration type improvements outcome variables. CONCLUSIONS Guideline-based show potential excess obesity, although superiority over traditional methods. Substantial also contribute challenges drawing definitive conclusions specific characteristics effective tools. CLINICALTRIAL

Language: Английский

Citations

0