Evidence map›Paper›PMID 39511525›Full record

SynthesisBMC public health2024

Effectiveness of behaviour change techniques in lifestyle interventions for non-communicable diseases: an umbrella review.

Iliatha Papachristou Nadal, Chaisiri Angkurawaranon, Ankur Singh, Yanee Choksomngam, Vidhi Sadana, Loren Kock, Apichai Wattanapisit, Nutchar Wiwatkunupakarn, Sanjay Kinra

Abstract readSystematic Review
In one paragraph

Synthesis in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing 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.

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

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

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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

9 authors.

Iliatha Papachristou NadalNon-Communicable Disease Epidemiology, London School of Hygiene & Tropical Medicine, Keppel Street, London, WC1E 7HT, UK.
Chaisiri AngkurawaranonDepartment of Family Medicine, Faculty of Medicine, Chiang Mai University, 110 Intavaroros, Sriphum, Muang District, Chiang Mai, 50200, Thailand. chaisiri.a@cmu.ac.th.
Ankur SinghNon-Communicable Disease Epidemiology, London School of Hygiene & Tropical Medicine, Keppel Street, London, WC1E 7HT, UK.
Yanee ChoksomngamDepartment of Family Medicine, Faculty of Medicine, Chiang Mai University, 110 Intavaroros, Sriphum, Muang District, Chiang Mai, 50200, Thailand.
Vidhi SadanaNon-Communicable Disease Epidemiology, London School of Hygiene & Tropical Medicine, Keppel Street, London, WC1E 7HT, UK.
Loren KockFaculty of Population Health Science, University College London, 1-19 Torrington Place, London, UK.
Apichai WattanapisitSchool of Medicine, Walailak University, 222 Thaiburi, Thasala District Nakhon Si, Thammarat, 80160, Thailand.
Nutchar WiwatkunupakarnDepartment of Family Medicine, Faculty of Medicine, Chiang Mai University, 110 Intavaroros, Sriphum, Muang District, Chiang Mai, 50200, Thailand.
Sanjay KinraNon-Communicable Disease Epidemiology, London School of Hygiene & Tropical Medicine, Keppel Street, London, WC1E 7HT, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo identify the most commonly reviewed behaviour change techniques (BCTs) and their effectiveness based on consistency across reviews for lifestyle interventions of non-communicable diseases.

designUmbrella review of systematic reviews. DATA SOURCES: PubMed, Embase, PsycINFO, Cochrane CENTRAL, Global Health. DATA EXTRACTION AND SYNTHESIS: A narrative synthesis of extracted findings was conducted. The Behaviour Change Technique v1 Taxonomy was used to identify and code behaviour change techniques (e.g., goal setting) in a standardised manner, which were independently assessed by two reviewers. Study quality was independently assessed by two reviewers using the assessment of multiple systematic review tools.

results26 reviews were included with a total of 72 BCT labels evaluated across the different lifestyle interventions and non-communicable diseases. A total of 13 BCT clusters were identified to be reported as effective. The most commonly reviewed BCTs and their effectiveness/ineffectiveness were as follows: 'Goals and Planning' (12 effective/1 ineffective), 'Feedback and monitoring' (9 effective/3 ineffective), 'Social support' (9 effective/1 ineffective), 'Shaping knowledge' (11 effective/1 ineffective), and 'Natural consequences' (6 effectiveness/ 2 ineffective). The vast majority of the studies were conducted in high-income and a few in upper middle-income countries, with hardly any studies from lower middle-income and lower income studies.

conclusionThe most common BCTs were 'Goals and Planning', 'Feedback and Monitoring', 'Shaping Knowledge', 'Social Support', and 'Natural Consequence'. Based on consistency across reviews, several BCTs such as 'Goals and Planning', Feedback and Monitoring', 'Shaping Knowledge', and 'Social Support' have demonstrated effectiveness (Recommendation Grade A) in improving health behaviours across a limited range of NCDs. The evidence is less clear for other BCT techniques. It is also likely that not all BCTs will be transferable across different settings. There is a need for more research in this area, especially in low-middle-income countries. PROTOCOL REGISTRATION: Registered on the International Prospective Register of Systematic Reviews; PROSPERO (CRD42020222832).

Indexed as

Behavior TherapyLife StyleNoncommunicable DiseasesHealth PromotionHumansSystematic Reviews as TopicBehaviour change techniquesLifestyle interventionsNon-communicable diseasesUmbrella review

Identifiers

PMID39511525
PMCPMC11545567

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.