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Influence of Family Social Support and Diabetes Self-Efficacy on the Emotional Wellbeing of Children and Adolescents with Type 1 Diabetes: A Longitudinal Study.
- Source :
- Children; Jul2023, Vol. 10 Issue 7, p1196, 12p
- Publication Year :
- 2023
-
Abstract
- Type 1 diabetes (T1D) is a chronic disease that is usually diagnosed in childhood, underscoring the importance of early disease control for overall wellbeing. Our aim was to design an explanatory model of subjective emotional wellbeing in children and adolescents with T1D. A longitudinal study was conducted at the Reina Sofia University Hospital in Cordoba (Spain). A total of 151 patients (mean age = 14.50, SD = 2.67; 41.1% girls) participated at T1, while 97 participated at T2 (mean age = 14.93, SD = 2.56; 39.2% girls). Participants completed a self-report questionnaire. Descriptive, reliability, correlation, path, and mediation analyses were performed. The explanatory model showed excellent fit indices [χ<superscript>2</superscript> (10) = 8.62, p = 0.57, RMSEA = 0.00, 95% [0.00, 0.10], CFI = 1.00, GFI = 0.98, AGFI = 0.93, and TLI = 1.01]. The results showed significant and positive relationships between family social support and subjective emotional wellbeing and improved self-care skills. Self-efficacy presented a mediating role between family social support and subjective emotional wellbeing. Given that self-efficacy is a self-regulatory mechanism and a determinant of health, it is argued that future psychoeducational interventions could aim to improve self-efficacy to manage chronic diseases, to achieve greater emotional wellbeing in children and adolescents with T1D. [ABSTRACT FROM AUTHOR]
- Subjects :
- WELL-being
STATISTICS
FRIENDSHIP
ACADEMIC medical centers
CONFIDENCE intervals
SOCIAL support
FAMILY support
SELF-evaluation
SELF-management (Psychology)
TYPE 1 diabetes
GOODNESS-of-fit tests
SELF-efficacy
ABILITY
TRAINING
CRONBACH'S alpha
T-test (Statistics)
THEORY
QUESTIONNAIRES
DESCRIPTIVE statistics
FACTOR analysis
SCALE analysis (Psychology)
REPEATED measures design
RESEARCH funding
EMOTIONS
PATH analysis (Statistics)
DATA analysis
DATA analysis software
LONGITUDINAL method
CHILDREN
ADOLESCENCE
Subjects
Details
- Language :
- English
- ISSN :
- 22279067
- Volume :
- 10
- Issue :
- 7
- Database :
- Complementary Index
- Journal :
- Children
- Publication Type :
- Academic Journal
- Accession number :
- 168588999
- Full Text :
- https://doi.org/10.3390/children10071196