Tatomirescu Liviu Florian, Prada Gabriel-Ioan, Glavce Cristiana Susana, David-Rus Richard, Borosanu Adriana
Department of Psychiatry, C.F.2 Clinical Hospital, Bucharest, ROU.
Clinical Department IV, National Institute of Gerontology and Geriatrics Ana Aslan, Bucharest, ROU.
Cureus. 2025 Apr 27;17(4):e83103. doi: 10.7759/cureus.83103. eCollection 2025 Apr.
The rising prevalence of dementia has increased the demand for long-term care, with family members often assuming caregiving responsibilities. While this form of care reduces healthcare costs and improves patients' quality of life, it also exposes caregivers to physical and mental health challenges, often rendering them "invisible patients." Well-being remains a key focus in both medical and psychosocial research and can be assessed through Ryff's eudaimonic framework. This study aims to identify distinct latent profiles of family caregivers based on well-being patterns, highlighting, through a person-centered approach, the vulnerabilities and resources associated with each profile.
The study included 73 family caregivers from Romania, aged between 30 and 87 years (M = 57.12, SD = 10.36), the majority being women (75.3%). Latent profile analysis (LPA) was used to identify well-being patterns based on scores obtained on the six dimensions of Ryff's scale (54 items, adapted for Romania). The selection of models and distinctiveness of profiles were statistically established through various criteria (Akaike Information Criterion (AIC), Bayesian Information Criterion (BIC), and entropy), together with a meaningful interpretation, emphasizing the role of meaning in life, autonomy, and self-acceptance in maintaining caregivers' health, well-being, and resilience.
The LPA analysis identified a four-profile model of well-being, i.e., high (11%), moderate (38%), low (41.1%), and very low (10%), highlighting both the heterogeneity of perceptions and the caregivers' vulnerabilities and strengths within each profile. Major differences between profiles are primarily driven by the purpose in life and autonomy dimensions, with values progressively decreasing from one profile to the next. The high profile exhibits the highest scores on these dimensions, while the very low profile records the lowest. The most pronounced deficits appear in the very low profile, particularly in self-acceptance and environmental mastery. The high entropy value of the model (0.93) indicates a well-defined solution with significant differences between profiles.
The study highlights variations in well-being among family caregivers of individuals with dementia, making a significant contribution to the identification of distinct latent profiles. A person-centered approach facilitates tailored interventions by clinicians, while the findings provide valuable support both for clinical practitioners and for the development of public health policies.
痴呆症患病率的上升增加了对长期护理的需求,家庭成员常常承担起照顾责任。虽然这种护理形式降低了医疗成本并提高了患者的生活质量,但它也使护理人员面临身心健康挑战,常常使他们成为“隐形患者”。幸福感仍然是医学和社会心理研究的关键焦点,并且可以通过赖夫的幸福框架进行评估。本研究旨在基于幸福感模式识别家庭护理人员不同的潜在类型,通过以人为本的方法突出每种类型相关的脆弱性和资源。
该研究纳入了73名来自罗马尼亚的家庭护理人员,年龄在30至87岁之间(M = 57.12,SD = 10.36),大多数为女性(75.3%)。潜在类别分析(LPA)用于根据在赖夫量表的六个维度(54个项目,针对罗马尼亚进行了改编)上获得的分数识别幸福感模式。通过各种标准(赤池信息准则(AIC)、贝叶斯信息准则(BIC)和熵)以及有意义的解释,从统计学上确定模型的选择和类型的独特性,强调生活意义、自主性和自我接纳在维持护理人员健康、幸福感和恢复力方面的作用。
潜在类别分析确定了一个四类型的幸福感模型,即高幸福感(11%)、中等幸福感(38%)、低幸福感(41.1%)和极低幸福感(10%),突出了每种类型中认知的异质性以及护理人员的脆弱性和优势。类型之间的主要差异主要由生活目的和自主性维度驱动,从一种类型到下一种类型,这些价值观逐渐降低。高幸福感类型在这些维度上得分最高,而极低幸福感类型得分最低。最明显的缺陷出现在极低幸福感类型中,特别是在自我接纳和环境掌控方面。该模型的高熵值(0.93)表明这是一个定义明确的解决方案,类型之间存在显著差异。
该研究突出了痴呆症患者家庭护理人员幸福感的差异,对识别不同的潜在类型做出了重大贡献。以人为本的方法有助于临床医生进行量身定制的干预,而研究结果为临床从业者和公共卫生政策的制定提供了有价值的支持。