Coach-Assisted eHealth With Group or Individual Support for Employees With Obesity: Randomized Controlled Trial on Weight, Body Composition, and Health Metrics
BackgroundAcceptance and commitment therapy provides a psychobehavioral framework feasible for digital and hybrid weight loss interventions. In face-to-face studies, group-based interventions yield more favorable outcomes than individual interventions, but the effect of the i...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
JMIR Publications
2025-03-01
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| Series: | Journal of Medical Internet Research |
| Online Access: | https://www.jmir.org/2025/1/e60436 |
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| Summary: | BackgroundAcceptance and commitment therapy provides a psychobehavioral framework feasible for digital and hybrid weight loss interventions. In face-to-face studies, group-based interventions yield more favorable outcomes than individual interventions, but the effect of the intervention form has not been studied in combination with eHealth.
ObjectiveThis study investigated whether a minimal, 3-session group or individual enhancement could provide additional benefits compared to an eHealth-only intervention when assessing weight, body composition, and laboratory metrics in a sample of occupational health patients with obesity.
MethodsThis study was a randomized controlled trial with a 12-month intervention, followed by a 12-month follow-up period without additional support (March 2021 to March 2023). Recruited from occupational health care for Finnish municipal employees, 111 working-age adults with a BMI of 30-40 kg/m2 were randomized to 1 of the 3 treatment arms: eHealth, eHealth+group, or eHealth+individual. All treatment arms received a web-administrated, coach-assisted eHealth program based on acceptance and commitment therapy, and additionally, the eHealth+group and eHealth+individual arms received 3 remotely facilitated group or individual meetings with their designated coach. The participants were assessed for weight, body composition, blood pressure, and laboratory measurements at 0-, 6-, 12-, and 24-month time points. Applying estimated means to decrease bias caused by dropouts, generalized estimating equations were used to study the differences between the 3 groups over time.
ResultsThere were no between-group differences in primary measurements of weight change or categorical weight change. Secondary outcomes also did not show changes attributable to the intervention arm. Across the entire sample, the total weight loss was 1.5% during the intervention, with 18% (20/111) of the participants attaining a ≥5% weight loss. Sustained at follow-up, waist circumference decreased, and high-density lipoprotein cholesterol increased slightly. The participants completed, on average, 58.6% of the eHealth program.
ConclusionsThere were no differences in weight or other somatic health variables between the eHealth arm and intervention combining eHealth with minimal group or individual enhancement. Despite a modest overall weight loss, the intervention shows promise in improving body composition and metabolic health. Moving forward, further research is needed to determine if there is a threshold where face-to-face meetings provide additional benefits in hybrid interventions. Moreover, there is a need to explore for whom and under what conditions eHealth and hybrid models may be most effective.
Trial RegistrationClinicalTrials.gov NCT04785586; https://clinicaltrials.gov/study/NCT04785586 |
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| ISSN: | 1438-8871 |