Wong Sabrina K W, Lew Jeremy, Soon Winnie, Griva Konstadina, Smith Helen Elizabeth, Lim Su Chi
National Healthcare Group Polyclinics, Singapore; Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore.
National Healthcare Group Polyclinics, Singapore.
Patient Educ Couns. 2025 Jan;130:108482. doi: 10.1016/j.pec.2024.108482. Epub 2024 Oct 28.
Self-management is impacted by knowledge, self-efficacy, psychological health (general mental health and diabetes-related distress) and physical health (KSPP), and variations in KSPP contribute to heterogeneity in diabetes self-management education (DSME) program outcomes. This study aimed to identify unique KSPP profiles, and their associations with self-management behaviors.
A cross-sectional survey was conducted in 518 participants with type 2 diabetes. Diabetes knowledge, self-efficacy, diabetes-related distress, mental and physical health, self-care, medication adherence and social support were assessed. A mixed-model latent profile analysis was conducted on eight KSPP variables, and sociodemographic, self-care (diet, physical activity, and medication adherence), and glycemic levels were compared across profiles.
Four unique KSPP profiles were identified: profile 1 (untroubled), profile 2 (distressed: diabetes-specific), profile 3 (distressed: global) and profile 4 (activated). Profile 3 was associated with the lowest self-care, highest glycemic and lowest social support levels. Profile 4 was associated with the highest self-care, lowest glycemic and highest social support levels.
Our study identified novel KSPP profiles, which were associated with differential self-management behaviors and metabolic profiles.
Identifying KSPP profiles might improve self-management support through identifying clustering of care needs, and support more targeted DSME development.
自我管理受到知识、自我效能感、心理健康(一般心理健康和糖尿病相关困扰)和身体健康(知识、自我效能感、心理健康和身体健康,简称KSPP)的影响,KSPP的差异导致糖尿病自我管理教育(DSME)项目结果存在异质性。本研究旨在识别独特的KSPP概况及其与自我管理行为的关联。
对518名2型糖尿病患者进行了横断面调查。评估了糖尿病知识、自我效能感、糖尿病相关困扰、心理和身体健康、自我护理、药物依从性和社会支持。对八个KSPP变量进行了混合模型潜在概况分析,并比较了不同概况下的社会人口统计学、自我护理(饮食、体育活动和药物依从性)和血糖水平。
识别出四种独特的KSPP概况:概况1(无忧)、概况2(困扰:糖尿病特异性)、概况3(困扰:整体)和概况4(积极)。概况3与最低的自我护理、最高的血糖和最低的社会支持水平相关。概况4与最高的自我护理、最低的血糖和最高的社会支持水平相关。
我们的研究识别出了新的KSPP概况,这些概况与不同的自我管理行为和代谢状况相关。
识别KSPP概况可能通过识别护理需求聚类来改善自我管理支持,并支持更具针对性的DSME发展。