Journal of Prevention, Journal Year: 2023, Volume and Issue: unknown
Published: Dec. 20, 2023
Language: Английский
Journal of Prevention, Journal Year: 2023, Volume and Issue: unknown
Published: Dec. 20, 2023
Language: Английский
Telemedicine Reports, Journal Year: 2024, Volume and Issue: 5(1), P. 187 - 194
Published: April 1, 2024
Language: Английский
Citations
9Obesities, 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
7Behavioral 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
6Published: 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
4Journal 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
0Nutrients, 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
0Phenomics, Journal Year: 2025, Volume and Issue: unknown
Published: Jan. 30, 2025
Language: Английский
Citations
0Published: Feb. 14, 2025
Language: Английский
Citations
0BMC 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
0Published: March 9, 2025
Language: Английский
Citations
0