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Enregistrement W4409355769 · doi:10.1111/dme.70044

Limited impact of the <scp>PEP1</scp> structured physical activity program on perceived barriers to physical activity in people living with type 1 diabetes

2025· letter· en· W4409355769 sur OpenAlexaff
Capucine Guédet, Sémah Tagougui, Corinne Suppère, Valérie Boudreau, Marie-Eve Mathieu, Anne‐Sophie Brazeau, Rémi Rabasa‐Lhoret

Notice bibliographique

RevueDiabetic Medicine · 2025
Typeletter
Langueen
DomaineMedicine
ThématiqueDiabetes Management and Research
Établissements canadiensCentre Hospitalier de l’Université de MontréalMcGill UniversityCentre Hospitalier Universitaire Sainte-JustineUniversité de MontréalMontreal Clinical Research Institute
Organismes subventionnairesnon disponible
Mots-clésMedicinePhysical activityType 2 diabetesGerontologyDiabetes mellitusPhysical therapyEndocrinology

Résumé

récupéré en direct d'OpenAlex

Physical activity (PA) has many benefits for people living with type 1 diabetes (T1D), including improved glycemic control and reduced cardiovascular risk.1 Despite these advantages, only 32% of people living with T1D (pwT1D) meet PA recommendations.2 In 2008, Brazeau et al. identified fear of hypoglycemia as the primary barrier to PA in pwT1D.3 Subsequent studies have echoed these findings, suggesting that education and promotion of PA may help mitigate these barriers.2, 3 Brazeau et al. developed 3 months ‘physical exercise promotion’ (PEP1) programme aiming to increase PA levels.4 Although no significant change in objectively measured PA level was reported, participants in the intervention group presented a trend toward increased intention to practice PA post-intervention and at the 1-year follow-up (both p = 0.07). However, whether perceived barriers to PA were reduced remains unclear. To address this question, the data from the PEP-1 study4 were analyzed for participants who completed the Barriers to Physical Activity in Type 1 Diabetes (BAPAD) questionnaire at baseline, post-intervention, and 1-year follow-up. The BAPAD questionnaire, validated by Dubé et al.,5 calculates an average score over the first 11 items. Each item is scored on a scale of 1–7, with 7 indicating more barriers. Inclusion criteria were age between 18 and 65 years, a T1D diagnosis for at least 12 months, and less than 150 min of physical activity per week at baseline. Exclusion criteria included major microvascular and macrovascular complications in the previous 6 months and pregnancy. Participants were randomized into two groups: control group and intervention group. All participants received brochures with information on the benefits of PA and how to incorporate it into their daily lives. The intervention group consisted of 12 sessions divided into two parts: 60 min of different activities (cardiovascular, muscular and flexibility) to initiate PA and introduce participants to a variety of exercises and sports, and 30 min of advice on PA and glycemic management in relation to PA. BAPAD scores were compared before the intervention, after the intervention and 1 year after inclusion using the MIXED procedure for repeated measures in SPSS statistical software. Data was available for 41 participants; 21 completed the intervention group, and 20 the control group. The rate of attendance at the sessions in the intervention group was 82 ± 12%. Mean BAPAD scores for the intervention group changed from 2.7 ± 1.0 at baseline to 2.5 ± 0.7 post intervention and remained at 2.5 ± 1.1 at the 1-year follow-up, while control group scores changed from 2.8 ± 1.0 at baseline to 2.5 ± 0.9 post intervention and then to 2.7 ± 0.9 at the 1-year follow-up. No significant difference was observed in BAPAD scores between the time points or between the groups (p > 0.05). A 12-week PA-promotion programme with a total of 18 h of interventions did not significantly reduce overall perceived barriers to PA. One potential explanation for this finding is the relatively low BAPAD score at baseline, though it is consistent with the mean score reported by other studies.2, 3, 6 Future research might benefit from targeting pwT1D who report higher baseline barriers to PA. Nevertheless, this study was conducted with individuals who do not meet PA recommendations (i.e. ≥150 min of moderate to vigorous PA per week), potentially already including people who perceive a higher level of barriers to PA. Furthermore, the programme focused on diabetes management and PA, introducing simple and practical activities that could be easily integrated into daily life. Adopting new behaviors and modifying perceptions, particularly regarding barriers, remain significantly challenging. Another potential reason for the absence of significant results could be the relatively short duration of the intervention. Shifting perceptions of barriers to PA often requires sustained exposure to interventions over a longer period. It is possible that the intervention was insufficient in duration to induce meaningful psychological or behavioral changes. Furthermore, the participants may have required a more tailored approach, addressing individual-specific barriers rather than a generalized programme. It is also important to note that pwT1D face many of the same barriers as the general population, such as lack of time, motivation, and energy, which are not fully addressed by the BAPAD questionnaire. It is thus unclear if reducing barriers for PA in pwT1D is extremely hard or if the BAPAD score needs some update to better capture all issues. To conclude, the intervention did not significantly reduce barriers to PA among pwT1D. Future programmes should explore new strategies, including extended durations and personalised approaches, to address these challenges and encourage greater PA engagement. Updating the BAPAD questionnaire might be necessary to inform better intervention design. This study was funded by the J-A DeSève diabetes research cahir to RRL. Authors have no conflict of interest to declare. The data that support the findings of this study are available from the corresponding author upon reasonable request.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,005
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Intégrité de la recherche
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,719
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,005
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0020,000
Bibliométrie0,0010,003
Études des sciences et des technologies0,0000,001
Communication savante0,0000,000
Science ouverte0,0010,000
Intégrité de la recherche0,0000,003
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,015
Tête enseignante GPT0,310
Écart entre enseignants0,295 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations1
Publié2025
Routes d'admission1
Résumé présentoui

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