Evidence map›Paper›PMID 29792202›Full record

Trial reportThe international journal of behavioral nutrition and physical activity2018

The effects of a lifestyle-focused text-messaging intervention on adherence to dietary guideline recommendations in patients with coronary heart disease: an analysis of the TEXT ME study.

Karla Santo, Karice Hyun, Laura de Keizer, Aravinda Thiagalingam, Graham S Hillis, John Chalmers, Julie Redfern, Clara K Chow

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in The international journal of behavioral nutrition and physical activity, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 4 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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

32 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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  12. Cardiac telerehabilitation: current status and future perspectives.Netherlands heart journal : monthly journal of the Netherlands Society of Cardiology and the Netherlands Heart Foundation · 2024
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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

8 authors.

Karla SantoThe George Institute for Global Health, Sydney, Australia. ksanto@georgeinstitute.org.au.ORCID 0000-0001-9047-8865
Karice HyunThe George Institute for Global Health, Sydney, Australia.
Laura de KeizerThe George Institute for Global Health, Sydney, Australia.
Aravinda ThiagalingamFaculty of Medicine and Health, The University of Sydney, Sydney, Australia.
Graham S HillisSchool of Medicine and Pharmacology, University of Western Australia, Perth, Australia.
John ChalmersThe George Institute for Global Health, Sydney, Australia.
Julie RedfernThe George Institute for Global Health, Sydney, Australia.
Clara K ChowThe George Institute for Global Health, Sydney, Australia.

Funding

National Heart Foundation of Australia G10S5110
6 · The paper itself

Abstract

backgroundA healthy diet is an important component of secondary prevention of coronary heart disease (CHD). The TEXT ME study was a randomised clinical trial of people with CHD that were randomised into standard care or a text-message programme in addition to standard care. This analysis aimed to: 1) assess the effects of the intervention onadherence to the dietary guideline recommendations; 2) assess the consistency of effect across sub-groups; and 3) assess whether adherence to the dietary guideline recommendations mediated the improvements in objective clinical outcomes.

methodsDietary data were collected using a self-report questionnaire to evaluate adherence to eight dietary guideline recommendations in Australia, including consumption of vegetables, fruits, fish, type of fat used for cooking and in spreads, takeaway food, salt and standard alcohol drinks. The primary outcome of this analysis was the proportion of patients adhering to ≥ 4 dietary guideline recommendations concomitantly and each recommendation was assessed individually as secondary outcomes. Data were analysed using log-binomial regression for categorical variables and analysis of covariance for continuous variables.

resultsAmong 710 patients, 54% were adhering to ≥ 4 dietary guideline recommendations (intervention 53% vs control 56%, p = 0.376) at baseline. At six months, the intervention group had a significantly higher proportion of patients adhering to ≥ 4 recommendations (314, 93%) compared to the control group (264, 75%, RR 1.23, 95% CI 1.15-1.31, p < 0.001). In addition, the intervention patients reported consuming higher amounts of vegetables, fruits, and fish per week; less takeaway foods per week; and greater salt intake control. The intervention had a similar effect in all sub-groups tested. There were significant mediational effects of the increase in adherence to the recommendations for the association between the intervention and LDL-cholesterol (p < 0.001) and body mass index (BMI) at six months follow-up (p = 0.005).

conclusionA lifestyle-focused text-message programme improved adherence to the dietary guideline recommendations, and specifically improved self-reported consumption of vegetables, fruits, fish, takeaway foods and salt intake. Importantly, these improvements partially mediated improvements in LDL-cholesterol and BMI. This simple and scalable text-messaging intervention could be used as a strategy to improve diet in people with CHD.

trial registrationAustralia and New Zealand Clinical Trials Registry ACTRN12611000161921 . Registered on 10 February 2011.

Indexed as

Life StyleText MessagingAustraliaBody Mass IndexCoronary DiseaseDiet, HealthyFemaleHumansMaleMiddle AgedNew ZealandNutrition PolicyPatient ComplianceProgram EvaluationSelf ReportSingle-Blind MethodDieteHealthmHealthMobile phoneRandomised controlled trialText-messagesText-messaging

Identifiers

PMID29792202
PMCPMC5967045

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.