# Digital Engagement Significantly Enhances Weight Loss Outcomes in Adults With Obesity Treated With Tirzepatide: Retrospective Cohort Study of a Digital Weight Loss Service

**Authors:** Hans Johnson, Ashley Kieran Clift, Daniel Reisel, David Huang

PMC · DOI: 10.2196/83718 · 2026-01-15

## TL;DR

Using a digital platform with coaching and tracking significantly improves weight loss in adults taking tirzepatide for obesity.

## Contribution

This study shows that digital engagement enhances real-world weight loss outcomes when combined with tirzepatide treatment.

## Key findings

- Engaged users lost 5.3% more weight at 12 months compared to non-engaged users.
- Engaged participants reached all clinically significant weight loss thresholds faster.
- Older age and higher BMI were associated with greater digital engagement.

## Abstract

The advent of tirzepatide has transformed obesity care; yet, real-world weight loss outcomes necessarily depend on patient engagement with behavioral support. Digital platforms offering coaching, self-monitoring, and automated feedback have the potential to further augment pharmacological efficacy.

The aim of the study is to examine associations between digital engagement and weight loss outcomes among adults prescribed tirzepatide in routine care over 12 months and to identify baseline correlates of engagement.

In this retrospective cohort study, we included adults (18-75 years; BMI ≥30 or ≥27.5 kg/m2 with comorbidities) who initiated tirzepatide between February 2024 and August 2025 via a UK digital weight loss service. Engagement was defined by all 3: attendance at ≥1 coaching session AND ≥1 weekly weight log AND ≥1 app login over 12 months. Percent weight loss was analyzed at months 2, 4, 6, 8, 10, and 12 using a mixed model repeated measures adjusted for age, sex, baseline BMI, and comorbidities. Time-to-event analyses (Kaplan-Meier) assessed attainment of ≥5%, ≥10%, ≥15%, and ≥20% weight loss thresholds. Multivariable logistic regression identified correlates of engagement, reporting odds ratios (ORs) per decade of age and per 5 kg/m2 BMI.

Among 126,553 participants, 6746 (5.3%) were maximally engaged. Cohort demographics were a mean age of 42.3 (SD 12.4) years, 78.9% (99,905/126,553) female, and a mean BMI of 35.3 (SD 6.2) kg/m2. Engaged users achieved greater adjusted weight loss at month 12 (–22.9%, 95% CI –23.2 to –22.6) versus nonengaged users (–17.5%, 95% CI –17.7 to –17.4), an absolute difference of 5.3 percentage points (P<.001; Cohen d=0.54). Differences emerged by month 2 (–7.4% vs –6.4%; P<.001) and widened steadily. Engaged participants reached all clinically significant weight loss thresholds faster (5%-20%; log-rank P<.001), and engaged participants were nearly 3 times more likely to achieve ≥20% weight loss compared to nonengaged participants (1079/6746, 16% vs 6710/119,807, 5.6%; risk ratio 2.88; P<.001). Older age (OR 1.18 per decade, 95% CI 1.15-1.20; P<.001), higher BMI (OR 1.14 per 5 kg/m2, 95% CI 1.12-1.16; P<.001), and the presence of polycystic ovary syndrome (OR 1.59, 95% CI 1.45-1.74; P<.001) or fatty liver disease (OR 1.52, 95% CI 1.32-1.76; P<.001) correlated with engagement. Male sex (OR 0.86, 95% CI 0.81-0.92; P<.001) and diabetes (OR 0.83, 95% CI 0.73-0.95; P=.009) were associated with lower engagement.

Digital engagement was associated with substantially greater tirzepatide-associated weight loss in real-world practice. Integrating structured digital support with pharmacotherapy represents a promising strategy for optimizing obesity management.

## Linked entities

- **Chemicals:** tirzepatide (PubChem CID 163285897)
- **Diseases:** obesity (MONDO:0011122), polycystic ovary syndrome (MONDO:0008487), fatty liver disease (MONDO:0004790), diabetes (MONDO:0005015)

## Full-text entities

- **Genes:** GCG (glucagon) [NCBI Gene 2641] {aka GLP-1, GLP1, GLP2, GRPP}, GIP (gastric inhibitory polypeptide) [NCBI Gene 2695], EHMT1 (euchromatic histone lysine methyltransferase 1) [NCBI Gene 79813] {aka EHMT1-IT1, EUHMTASE1, Eu-HMTase1, FP13812, GLP, GLP1}, GLP1R (glucagon like peptide 1 receptor) [NCBI Gene 2740] {aka GLP-1, GLP-1-R, GLP-1R}
- **Diseases:** Hypercholesterolemia (MESH:D006937), bulimia nervosa (MESH:D052018), MMRM (MESH:D004195), fatty liver disease (MESH:D005234), allergies (MESH:D004342), Weight (MESH:D015431), overweight (MESH:D050177), cardiovascular disease (MESH:D002318), diabetes (MESH:D003920), PCOS (MESH:D011085), cancers (MESH:D009369), type 2 diabetes (MESH:D003924), eating disorders (MESH:D001068), hypertension (MESH:D006973), anorexia nervosa (MESH:D000856), Obesity (MESH:D009765)
- **Chemicals:** cholesterol (MESH:D002784), KwikPen (-), lipid (MESH:D008055)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Figures

3 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12856402/full.md

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Source: https://tomesphere.com/paper/PMC12856402