Liu Xiaoxiao, Wang Junjun, Dong Haili, Zhao Yanmin, Liu Li
Medical Insurance Department, Binzhou Medical University Hospital, Binzhou, Shandong, 256600, People's Republic of China.
College of Nursing, Binzhou Medical University, Binzhou, Shandong, 256600, People's Republic of China.
Int J Gen Med. 2025 Jul 29;18:4091-4102. doi: 10.2147/IJGM.S531784. eCollection 2025.
This study aimed to understand the current situation of phobia regarding disease progression in patients with type 2 diabetes mellitus (T2DM) and identify its influencing factors.
A convenient sampling method was used to select patients with T2DM who were hospitalized in a tertiary A hospital in Binzhou City, Shandong Province, from September 2024 to February 2025 as the research objects. The evaluation tools included a general information questionnaire, a simple disease perception questionnaire, a chronic disease health literacy scale, a diabetes self-management behavior scale, a family resilience scale, and a simplified scale for fear of disease progression. Factors influencing the fear of disease progression in patients with T2DM were analyzed through single-factor and binary logistic regression analyses.
Among 346 patients with T2DM, 124 patients exhibited fear of disease progression, with an incidence of 35.80%. Multifactor logistic regression analysis indicated that gender, place of residence, number of complications, scores on the Brief Illness Perception Questionnaire, and Family Resilience Assessment Scale were independent risk factors for fear of disease progression. Using these risk factors, a nomogram prediction model was constructed that achieved an area under the receiver operating characteristic curve of 0.814 (0.767-0.862), with a sensitivity and specificity of 76.6%. The maximum Youden index and the optimal cutoff value were determined to be 0.532 and 0.361, respectively. Internal validation results using the Bootstrap self-sampling method indicated that the calibration curve of the nomogram closely approximated the ideal curve.
The incidence of fear of disease progression (FOP) is higher in patients with T2DM. The constructed risk prediction model has good predictive performance and can provide a reference for assessing the risk of FOP in patients with T2DM. Simultaneously, it is conducive to the formulation of intervention strategies targeting risk factors.
本研究旨在了解2型糖尿病(T2DM)患者对疾病进展的恐惧现状,并确定其影响因素。
采用便利抽样法,选取2024年9月至2025年2月在山东省滨州市某三级甲等医院住院的T2DM患者作为研究对象。评估工具包括一般情况问卷、简易疾病认知问卷、慢性病健康素养量表、糖尿病自我管理行为量表、家庭复原力量表和疾病进展恐惧简化量表。通过单因素和二元逻辑回归分析,分析T2DM患者疾病进展恐惧的影响因素。
346例T2DM患者中,124例表现出疾病进展恐惧,发生率为35.80%。多因素逻辑回归分析表明,性别、居住地、并发症数量、简易疾病认知问卷得分和家庭复原力评估量表得分是疾病进展恐惧的独立危险因素。利用这些危险因素构建了列线图预测模型,其受试者操作特征曲线下面积为0.814(0.767 - 0.862),灵敏度和特异度为76.6%。确定最大约登指数和最佳截断值分别为0.532和0.361。采用Bootstrap自抽样法进行内部验证结果表明,列线图的校准曲线与理想曲线密切近似。
T2DM患者疾病进展恐惧(FOP)发生率较高。构建的风险预测模型具有良好的预测性能,可为评估T2DM患者FOP风险提供参考。同时,有利于制定针对危险因素的干预策略。