Dörner Marc, von Känel Roland, Pazhenkottil Aju P, Altwegg Rahel, König Noelle, Nager Ladina, Attanasio Veronica, Guth Lisa, Zirngast Sina, Menzi Anna, Zuccarella-Hackl Claudia, Princip Mary
Department of Consultation-Liaison-Psychiatry and Psychosomatic Medicine, University Hospital Zurich, University of Zurich, 8091, Zurich, Switzerland.
German Center for Neurodegenerative Diseases (DZNE) within the Helmholtz Association, 39120, Magdeburg, Germany.
Sci Rep. 2025 Jan 29;15(1):3731. doi: 10.1038/s41598-025-88470-x.
Illness perceptions (IP), as measured by the Brief Illness Perception Questionnaire (BIPQ), and adverse childhood experiences (ACE) have been shown to affect the physical and psychological well-being in different patient populations. However, little is known about IP and ACE in patients with an implantable cardioverter-defibrillator (ICD). Our objectives were to investigate the dimensional structure and to evaluate correlates of the BIPQ in ICD patients. 423 patients with an ICD were prospectively recruited. We conducted a principal component analysis to determine the dimensional structure of the BIPQ. Associations between ACE, other sociodemographic and clinical variables, and IP were analysed using a multivariable linear regression. We identified a two-factor structure (I = Consequences, II = Control) of the BIPQ. Among others, a higher number of ICD shocks in the past (0.21, 95% CI = 0.01-0.41, p = 0.036), low physical activity (-2.16, 95% CI = -4.37 to -0.37, p = 0.045), more frequent ACE (0.56, 95% CI = 0.08-1.22, p = 0.030), ICD shock-related concerns (0.75, 95% CI 0.62-0.89, p < 0.001), and primary ICD indication (-2.29, 95% CI -4.47 to -0.11, p = 0.039) were significantly associated with more threatening IP. The identification of those variables might lead to more precise interventions targeting maladaptive IP in this vulnerable patient population.
通过简易疾病认知问卷(BIPQ)测量的疾病认知(IP)和童年不良经历(ACE)已被证明会影响不同患者群体的身心健康。然而,对于植入式心脏复律除颤器(ICD)患者的IP和ACE知之甚少。我们的目标是研究BIPQ的维度结构并评估ICD患者中BIPQ的相关因素。前瞻性招募了423例ICD患者。我们进行了主成分分析以确定BIPQ的维度结构。使用多变量线性回归分析ACE、其他社会人口统计学和临床变量与IP之间的关联。我们确定了BIPQ的双因素结构(I = 后果,II = 控制)。其中,过去ICD电击次数较多(0.21,95%置信区间 = 0.01 - 0.41,p = 0.036)、身体活动水平低(-2.16,95%置信区间 = -4.37至-0.37,p = 0.045)、ACE更频繁(0.56,95%置信区间 = 0.08 - 1.22,p = 0.030)、与ICD电击相关的担忧(0.75,95%置信区间0.62 - 0.89,p < 0.001)以及ICD的主要适应症(-2.29,95%置信区间 -4.47至-0.11,p = 0.039)与更具威胁性的IP显著相关。识别这些变量可能会导致针对这一脆弱患者群体中适应不良的IP进行更精确的干预。