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Psychosocial determinants of healthy sleep habits in adults with type 1 and type 2 diabetes.
Vézina-Im, Lydi-Anne; Turcotte, Stéphane; Turcotte, Anne-Frédérique; Beaulieu, Dominique; Boudreau, François; Morin, Christine.
Afiliación
  • Vézina-Im LA; Département des sciences de la santé, Université du Québec à Rimouski (UQAR), Lévis, Québec, Canada.
  • Turcotte S; Centre de Recherche du CISSS de Chaudière-Appalaches, Lévis, Québec, Canada.
  • Turcotte AF; Centre de Recherche du CISSS de Chaudière-Appalaches, Lévis, Québec, Canada.
  • Beaulieu D; Centre de Recherche du CISSS de Chaudière-Appalaches, Lévis, Québec, Canada.
  • Boudreau F; Département des sciences de la santé, Université du Québec à Rimouski (UQAR), Lévis, Québec, Canada.
  • Morin C; Centre de Recherche du CISSS de Chaudière-Appalaches, Lévis, Québec, Canada.
Health Psychol Behav Med ; 12(1): 2296464, 2024.
Article en En | MEDLINE | ID: mdl-38179135
ABSTRACT

Background:

Many adults with type 1 (T1D) and type 2 diabetes (T2D) have inadequate sleep increasing their risk of hyperglycemia and developing complications. The objective was to identify psychosocial determinants of healthy sleep habits (HSH) among adults with T1D and T2D.

Methods:

The two HSH were avoiding screen use in bed and having sleep regularity. Adults (≥18 years) with T1D and T2D were invited to complete an anonymous online survey. The questionnaires were based on the Reasoned Action Approach and formative qualitative research previously conducted in 56 adults with T1D and T2D. Habit was included as an additional variable for screen use in bed.

Results:

In total, 320 adults with diabetes (T1D 39%; T2D 61%) completed the questionnaires (screen use in bed 174; sleep timing 146). Close to 75% of participants reported screen use in bed and close to 90% reported sleep timing variability in the last month. Perceived behavioral control (PBC) to avoid screen use in bed (ß = -0.4486, p < 0.0001), habit of using screens in bed (ß = 0.4002; p < 0.0001), and age (ß = -0.0202; p = 0.0086) were determinants of screen use in bed, and this model explained 71% of the variance. PBC for sleep regularity (ß = -0.2909; p = 0.0004) and being female (ß = 0.5057; p = 0.0069) were determinants of sleep timing variability, and this model explained 28% of the variance. The most important beliefs associated with each HSH were identified to obtain information to design targeted interventions.

Conclusions:

Few adults with diabetes have HSH. Screen use in bed was strongly influenced by habit and the results suggest that both HSH are not easy to adopt among adults with diabetes. Younger adults with diabetes should be prioritized for screen use in bed, while females with diabetes should be prioritized for sleep timing variability. Adults with diabetes should have access to behavior change interventions to encourage them to adopt HSH.
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Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies / Qualitative_research Idioma: En Año: 2024 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies / Qualitative_research Idioma: En Año: 2024 Tipo del documento: Article