Evidence map›Paper›PMID 41764425›Full record

ArticleBMC public health2026

A qualitative evaluation of a novel mHealth physical activity intervention with just-in-time prompts in people living with prediabetes and type 2 diabetes.

Katerina Jurkova, Tomas Vetrovsky, Jan Novak, Jitka Kuhnova, Marketa Pfeiferova, Norbert Kral, Michael Ussher, Iris Maes, Delfien Van Dyck, Steriani Elavsky and 8 more

Abstract read
In one paragraph

Article in BMC public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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

18 authors.

Katerina JurkovaFaculty of Physical Education and Sport, Charles University, Prague, Czech Republic.
Tomas VetrovskyFaculty of Physical Education and Sport, Charles University, Prague, Czech Republic. tomas.vetrovsky@gmail.com.
Jan NovakFaculty of Physical Education and Sport, Charles University, Prague, Czech Republic.
Jitka KuhnovaFaculty of Science, University of Hradec Kralove, Hradec Kralove, Czech Republic.
Marketa PfeiferovaInstitute of General Practice, Faculty of Medicine, Charles University, Prague, Czech Republic.
Norbert KralInstitute of General Practice, Faculty of Medicine, Charles University, Prague, Czech Republic.
Michael UssherPopulation Health Research Institute, City St George's University of London, London, UK.
Iris MaesDepartment of Movement and Sports Sciences, Ghent University, Ghent, Belgium.
Delfien Van DyckDepartment of Movement and Sports Sciences, Ghent University, Ghent, Belgium.
Steriani ElavskyDepartment of Human Movement Studies, University of Ostrava, Ostrava, Czech Republic.
Katerina MalisovaFaculty of Physical Culture, Palacky University Olomouc, Olomouc, Czech Republic.
Jana PelclovaFaculty of Physical Culture, Palacky University Olomouc, Olomouc, Czech Republic.
Richard CimlerFaculty of Science, University of Hradec Kralove, Hradec Kralove, Czech Republic.
Michal StefflFaculty of Physical Education and Sport, Charles University, Prague, Czech Republic.
Bohumil SeifertInstitute of General Practice, Faculty of Medicine, Charles University, Prague, Czech Republic.
Tom YatesDiabetes Research Centre, University of Leicester, Leicester, UK.
Tess HarrisPopulation Health Research Institute, City St George's University of London, London, UK.
Charlotte WahlichSchool of Health & Medical Sciences, City St George's University of London, London, UK.

Funding

Agentura Pro Zdravotnický Výzkum České Republiky NU21-09-00007
6 · The paper itself

Abstract

backgroundPhysical inactivity and prolonged sitting are major risk factors for prediabetes and type 2 diabetes (T2DM). Despite this, individuals with prediabetes and T2DM often face challenges in maintaining adequate physical activity. The ENERGISED trial aimed to address this by using a mobile health (mHealth) intervention combining wearable Fitbit devices, just-in-time context-sensitive text messages (JITAI), and telephone counselling, tailored to the needs of individuals with prediabetes and T2DM. This study explored participants’ experiences with the intervention to inform future improvements and broader implementation.

methodsA qualitative study was conducted using semi-structured telephone interviews with 27 participants (20 with T2DM and 7 with prediabetes, aged 42–80 years) from the intervention arm of the ENERGISED trial. Interviews explored motivations for participating in the ENERGISED program and factors influencing subsequent adherence, as well as barriers and motivations and facilitators in physical behaviour changes, e.g., increased physical activity and reduced sedentary time. Data were analysed using abductive thematic analysis to identify key themes related to the intervention’s components and participants’ behaviour changes.

resultsTwo overarching themes were identified: (1) Motivations and facilitators to engaging with physical activity and the intervention, and (2) Barriers to engaging with physical activity and the intervention. Motivations were predominantly internal and health-driven, supported by intervention components, particularly the Fitbit device and telephone counselling, which enhanced self-monitoring, accountability, and adherence. Text messages showed mixed acceptability, with JITAI prompts to interrupt prolonged sitting perceived more positively than prompts to increase walking pace. The most prominent barriers were health-related limitations, adverse weather, work and time constraints, and technology-related difficulties.

conclusionsThe ENERGISED program demonstrated that mHealth tools, particularly wearables and personalised support, can aid self-reported lifestyle changes in prediabetes and T2DM management. Refining just-in-time text messages to better align with participant needs could further enhance outcomes. These findings are key for improving future mHealth interventions to increase physical activity and reduce sedentary behaviour in individuals with prediabetes and T2DM.

Indexed as

Diabetes Mellitus, Type 2ExerciseHealth PromotionPrediabetic StateAdherence InterventionsAdultAgedAged, 80 and overCounselingDigital HealthFemaleHumansInterviews as TopicMaleMiddle AgedMotivationDigital healthFitbitJITAIPhone counsellingPhysical activityPrimary careSedentary behaviourText messagesWearable devicesWearables

Identifiers

PMID41764425
PMCPMC13059597

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.