Department of Statistics, Shahid Beheshti of University, Tehran, Iran.
Lahijan Branch, Islamic Azad University, Lahijan, Iran.
Acta Psychol (Amst). 2024 Aug;248:104361. doi: 10.1016/j.actpsy.2024.104361. Epub 2024 Jun 14.
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.
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).
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 (β = 0.34, p < .001) and self-coherence (β = 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 (β = 0.25, p < .001) and self-coherence (β = 0.08, p < .001) on treatment adherence. Bootstrapped exploratory graph analysis revealed an average of 3 dimensions within the network, indicating community structures.
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.
本研究旨在探讨 2 型糖尿病(T2DM)患者治疗依从性、人格的光明三联体、自我连贯性和心理幸福感之间的复杂关系。结构方程模型(SEM)用于阐明这些变量之间的直接和中介途径,而网络分析旨在确定和描述 T2DM 管理背景下人格的光明三联体的潜在因素。
采用便利抽样法进行路径分析-网络分析研究,在伊朗吉兰省的 10 家私人诊所和综合医院招募了 412 名 T2DM 患者。数据收集采用 Antonovsky 的自我连贯性量表(SOC)、光明三联体评定量表和 Reef 的心理幸福感问卷。结构方程模型评估模型拟合度,并确定变量之间的直接和间接联系。分析使用 R-Studio 软件(版本 4.2.1)、SPSS(V.26)和 AMOS 软件(V.24)进行。
验证性因子分析和网络分析证实了人格光明三联体量表的三因素结构。人格的光明三联体(β=0.34,p<0.001)和自我连贯性(β=0.32,p<0.001)对治疗依从性有直接影响。心理幸福感在这种关系中起间接作用,人格的光明三联体(β=0.25,p<0.001)和自我连贯性(β=0.08,p<0.001)对治疗依从性有显著影响。Bootstrapped 探索性图形分析显示网络中有 3 个维度的平均值,表明存在社区结构。
SEM 分析表明模型拟合良好,这表明设计包含自我连贯性和心理幸福感框架的干预计划对于提高 T2DM 患者的治疗依从性非常重要。