RESUMO
BACKGROUND: This study aimed to investigate the intricate relationship among treatment adherence, the light triad of personality, self-coherence, and psychological well-being in individuals diagnosed with Type 2 Diabetes Mellitus (T2DM). Structural equation modeling (SEM) was employed to elucidate the direct and mediated pathways linking these variables, while network analysis sought to identify and characterize the underlying factors of the light triad of personality within the context of T2DM management. METHOD: A path analysis-network analysis study using convenience sampling was conducted, recruiting 412 T2DM patients from ten private practices and general hospitals in Gilan province, Iran. Data collection utilized Antonovsky's Self of Coherence scale (SOC), The Light Triad Rating Scale, and The Reef's Psychological Well-being Questionnaire. Structural equation modeling assessed model fitness and determined direct and indirect links between variables. Analysis was conducted using R-Studio software (Version 4.2.1), SPSS (V.26), and AMOS software (V.24). RESULTS: Confirmatory factor analysis and network analysis confirmed the three-factor structure of the Light Triad of Personality scale. Direct impacts of Light Triad of Personality (ß = 0.34, p < .001) and self-coherence (ß = 0.32, p < .001) on treatment adherence were observed. Psychological well-being played an indirect role in this relationship, with significant effects from Light Triad of Personality (ß = 0.25, p < .001) and self-coherence (ß = 0.08, p < .001) on treatment adherence. Bootstrapped exploratory graph analysis revealed an average of 3 dimensions within the network, indicating community structures. CONCLUSION: SEM analysis demonstrated good model fit, suggesting the importance of designing interventional programs incorporating self-coherence and psychological well-being frameworks to enhance treatment adherence in T2DM patients.
RESUMO
Background: The current study investigated the relationship between the light triad of personality and self-coherence with treatment adherence in patients with Type 2 Diabetes Mellitus (T2DM) using Structural Equation Modeling (SEM). Psychological well-being was considered a mediator variable in this SEM assessment. Method: A cross-sectional study by convenience sampling was conducted, and 368 patients with T2DM were recruited from 10 private practice and general hospitals from May to November 2021 in Gilan province, Iran. The Reef's Psychological Well-being Questionnaire, the Light Triad Rating Scale, and Antonovsky's Sense of Coherence Scale were used for data collection. Structural equation modeling was used to examine the model fitness and identify direct/indirect relationships among variables. Data were analyzed by the SPSS (Version 26) and AMOS software (Version 24). Results: The average score of light triads, sense of coherence, psychological well-being, and treatment adherence were 70.36 ± 25.55, 108.25 ± 37.68, 57.03 ± 23.84, and 106.81 ± 39.61, respectively. Model fit statistics suggest that the measurement model fits the data well: χ2 (146, N = 368) = 314.011 (p < 0.001). The SEM results showed that the light triad of personality (ß = 0.12) and self-coherence (ß = 0.14) were positively associated with treatment adherence. Anxiety, the light triad of personality (ß = 0.12), and self-coherence (ß = 0.14) affect treatment adherence indirectly through psychological well-being. Conclusion: The analysis of the SEM revealed that the suggested model had a suitable goodness of fit. So, using self-coherence and psychological well-being structures in designing interventional programs is recommended to optimize treatment adherence in patients with T2DM.
