Evidence map›Paper›PMID 38916158›Full record

ArticleJournal of primary care & community health

Hybrid Evaluation of a Lifestyle Change Program to Prevent the Development of Type 2 Diabetes Among Individuals With Prediabetes: Intended and Observed Changes in Intervening Mechanisms.

Maija Huttunen-Lenz, Sylvia Hansen, Anne Raben, Margriet Westerterp-Plantenga, Tanja Adam, Ian Macdonald, Gareth Stratton, Nils Swindell, J Alfredo Martinez, Santiago Navas-Carretero and 11 more

Abstract read
In one paragraph

Article in Journal of primary care & community health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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

3 citing papers in PubMed.

  1. Trial
  2. Article
  3. 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

21 authors.

Maija Huttunen-LenzUniversity of Education Schwäbisch Gmünd, Schwäbisch Gmünd, Germany.ORCID 0000-0002-1034-1613
Sylvia HansenUniversity of Cologne, Cologne, Germany.
Anne RabenUniversity of Copenhagen, Frederiksberg, Denmark.
Margriet Westerterp-PlantengaMaastricht University, Maastricht, The Netherlands.
Tanja AdamMaastricht University, Maastricht, The Netherlands.
Ian MacdonaldUniversity of Nottingham, Nottingham, UK.
Gareth StrattonSwansea University, Swansea, West Glamorgan, UK.
Nils SwindellSwansea University, Swansea, West Glamorgan, UK.
J Alfredo MartinezUniversity of Navarra, Pamplona, Spain.
Santiago Navas-CarreteroUniversity of Navarra, Pamplona, Spain.
Teodora Handjieva-DarlenskaMedical University of Sofia, Sofia, Bulgaria.
Svetoslav HandjievMedical University of Sofia, Sofia, Bulgaria.
Sally D PoppittUniversity of Auckland, Auckland, New Zealand.
Marta P SilvestreUniversity of Auckland, Auckland, New Zealand.
Thomas Meinert LarsenUniversity of Copenhagen, Frederiksberg, Denmark.
Pia Siig VestentoftUniversity of Copenhagen, Frederiksberg, Denmark.
Mikael FogelholmUniversity of Helsinki, Helsinki, Finland.
Elli JaloUniversity of Helsinki, Helsinki, Finland.
Jennie Brand-MillerUniversity of Sydney, NSW, Australia.
Roslyn MuirheadUniversity of Sydney, NSW, Australia.
Wolfgang SchlichtUniversity of Stuttgart, Stuttgart, Germany.ORCID 0000-0002-2134-2259

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLifestyle interventions can prevent type 2 diabetes (T2D) by successfully inducing behavioral changes (eg, avoiding physical inactivity and sedentariness, increasing physical activity and/or healthy eating) that reduce body weight and normalize metabolic levels (eg, HbA1c). For interventions to be successful, it is important to influence "behavioral mechanisms" such as self-efficacy, which motivate behavioral changes. Theory-based expectations of how self-efficacy, chronic stress, and mood changed over time were investigated through a group-based behavior change intervention (PREMIT). At 8 intervention sites, PREMIT was offered by trained primary care providers in 18 group-sessions over a period of 36 months, divided into 4 intervention phases. Adherence to the intervention protocol was assessed.

methodParticipants (n = 962) with overweight and prediabetes who had achieved ≥8% weight loss during a diet reduction period and completed the intervention were categorized into 3 groups: infrequent, frequent, or very frequent group sessions attendance. The interactions between participation in the group sessions and changes in self-efficacy, stress, and mood were multivariate tested. Intervention sites were regularly asked where and how they deviated from the intervention protocol.

resultsThere was no increase in the participants' self-efficacy in any group. However, the level of self-efficacy was maintained among those who attended the group sessions frequently, while it decreased in the other groups. For all participants, chronic stress and the frequency of attending group sessions were inversely related. Significant differences in mood were found for all groups. All intervention centers reported specific activities, additional to intervention protocol, to promote participation in the group sessions.

conclusionsThe results suggest that the behavioral changes sought by trained primary care providers are related to attendance frequency and follow complex trajectories. The findings also suggest that group-based interventions in naturalistic primary care settings aimed at preventing T2D require formats and strategies that encourage participants to attend group sessions regularly.

Indexed as

Diabetes Mellitus, Type 2Prediabetic StateSelf EfficacyAdultAffectAgedExerciseFemaleHumansLife StyleMaleMiddle AgedOverweightPrimary Health CareProgram EvaluationRisk Reduction Behavioradherencebehavior changechronic stressmoodprediabetesself-efficacy

Identifiers

PMID38916158
PMCPMC11459537

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Registered trials

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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.