Evidence map›Paper›PMID 38875292›Full record

Trial reportPLoS medicine2024

An SMS chatbot digital educational program to increase healthy eating behaviors in adolescence: A multifactorial randomized controlled trial among 7,890 participants in the Danish National Birth Cohort.

Anne Ahrendt Bjerregaard, Daniel E Zoughbie, Jørgen Vinsløv Hansen, Charlotta Granström, Marin Strøm, Þórhallur Ingi Halldórsson, Inger Kristine Meder, Walter Churchill Willett, Eric L Ding, Sjúrður Fróði Olsen

Registry-linked trialAbstract readRandomized Controlled Trial
In one paragraph

Trial report in PLoS medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02809196 (A Digital Messaging Education Program for Dietary Behavior Modification Towards Healthier Lifestyle Among Danish Adolescents), which is not on this map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT02809196 nacompletednot on this map

A Digital Messaging Education Program for Dietary Behavior Modification Towards Healthier Lifestyle Among Danish Adolescents

TypeinterventionalSponsorCentre for Fetal Programming, DenmarkEnrolled7,890ConditionsFood HabitsArms1: Tailored SMS program implicating friend and mother, 2: Standardized SMS program implicating friend and mother, 3: Tailored SMS program implicating friend, not mother, 4: Standardized SMS program implicating friend, not mother, 5: Tailored SMS program implicating mother, not friend
3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Anne Ahrendt BjerregaardDepartment of Epidemiology Research, Statens Serum Institut, Copenhagen, Denmark.ORCID 0000-0002-0628-5292
Daniel E ZoughbieUniversity of California, Berkeley, California, United States of America.ORCID 0000-0003-2178-7773
Jørgen Vinsløv HansenDepartment of Epidemiology Research, Statens Serum Institut, Copenhagen, Denmark.
Charlotta GranströmDepartment of Epidemiology Research, Statens Serum Institut, Copenhagen, Denmark.
Marin StrømDepartment of Epidemiology Research, Statens Serum Institut, Copenhagen, Denmark.ORCID 0000-0003-1926-6610
Þórhallur Ingi HalldórssonDepartment of Epidemiology Research, Statens Serum Institut, Copenhagen, Denmark.
Inger Kristine MederSecretariat of the Danish National Birth Cohort, Statens Serum Institut, Copenhagen, Denmark.ORCID 0000-0002-0743-419X
Walter Churchill WillettDepartment of Nutrition, Harvard TH Chan School of Public Health (for ELD: affiliation at time of project), Boston, Massachusetts, United States of America.ORCID 0000-0003-1458-7597
Eric L DingNew England Institute for Complex Systems, Cambridge, Massachusetts, United States of America.
Sjúrður Fróði OlsenDepartment of Epidemiology Research, Statens Serum Institut, Copenhagen, Denmark.ORCID 0000-0003-3017-7096

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFew cost-effective strategies to shift dietary habits of populations in a healthier direction have been identified. We examined if participating in a chatbot health education program transmitted by Short Messages Service ("SMS-program") could improve adolescent dietary behaviors and body weight trajectories. We also explored possible added effects of maternal or peer involvement. METHODS AND

findingsWe conducted a randomized controlled trial (RCT) among adolescents from the Danish National Birth Cohort (DNBC). Eligible were adolescents who during 2015 to 2016 at age 14 years had completed a questionnaire assessing height, weight, and dietary habits. Two thirds were offered participation in an SMS-program, whereas 1/3 ("non-SMS group") received no offer. The SMS program aimed to improve 3 key dietary intake behaviors: sugar-sweetened beverages (SSBs), fruit and vegetables (FV), and fish. The offered programs had 3 factorially randomized schemes; the aims of these were to test effect of asking the mother or a friend to also participate in the health promotion program, and to test the effect of a 4-week individually tailored SMS program against the full 12-week SMS program targeting all 3 dietary factors. Height and weight and intakes of SSB, FV, and fish were assessed twice by a smartphone-based abbreviated dietary questionnaire completed at 6 months (m) and 18 m follow-up. Main outcome measures were (1) body mass index (BMI) z-score; and (2) an abbreviated Healthy Eating Index (mini-HEI, 1 m window, as mean of z-scores for SSB, FV, and fish). Among the 7,890 randomized adolescents, 5,260 were assigned to any SMS program; 63% (3,338) joined the offered program. Among the 7,890 randomized, 74% (5,853) and 68% (5,370) responded to follow-ups at 6 m and 18 m, respectively. Effects were estimated by intention-to-treat (ITT) analyses and inverse probability weighted per-protocol (IPW-PP) analyses excluding adolescents who did not join the program. Mean (standard deviation (SD)) mini-HEI at baseline, 6 m and 18 m was -0.01 (0.64), 0.01 (0.59), and -0.01 (0.59), respectively. In ITT-analyses, no effects were observed, at any time point, in those who had received any SMS program compared to the non-SMS group, on BMI z-score (6 m: -0.010 [95% confidence interval (CI) -0.035, 0.015]; p = 0.442, 18 m: 0.002 [95% CI -0.029, 0.033]; p = 0.901) or mini-HEI (6 m: 0.016 [95% CI -0.011, 0.043]; p = 0.253, 18m: -0.016 [95% CI -0.045, 0.013]; p = 0.286). In IPW-PP analyses, at 6 m, a small decrease in BMI z-score (-0.030 [95% CI -0.057, -0.003]; p = 0.032) was observed, whereas no significant effect was observed in mini-HEI (0.027 [95% CI -0.002, 0.056]; p = 0.072), among those who had received any SMS program compared to the non-SMS group. At 18 m, no associations were observed (BMI z-score: -0.006 [95% CI -0.039, 0.027]; p = 0.724, and mini-HEI: -0.005 [95% CI -0.036, 0.026]; p = 0.755). The main limitations of the study were that DNBC participants, though derived from the general population, tend to have higher socioeconomic status than average, and that outcome measures were self-reported.

conclusionsIn this study, a chatbot health education program delivered through an SMS program had no effect on dietary habits or weight trajectories in ITT analyses. However, IPW-PP-analyses, based on those 63% who had joined the offered SMS program, suggested modest improvements in weight development at 6 m, which had faded at 18 m. Future research should focus on developing gender-specific messaging programs including "booster" messages to obtain sustained engagement. CLINICAL

trial registrationClinicalTrials.gov Identifier: NCT02809196 https://clinicaltrials.gov/study/NCT02809196.

Indexed as

Diet, HealthyFeeding BehaviorHealth PromotionText MessagingAdolescentAdolescent BehaviorCohort StudiesDenmarkFemaleHealth BehaviorHealth EducationHumansMaleSurveys and Questionnaires

Identifiers

PMID38875292
PMCPMC11178212

What OpenQuestion holds

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LicenceCC BY
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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.