Meca-Lallana José, Mendibe Mar, Hernández-Clares Rocío, Caminero Ana Belén, Mallada-Frechin Javier, Dávila-Gonzalez Pablo, Garcés-Redondo Moisés, Gómez Montserrat, Millán-Pascual Jorge, Soriano-Hernández Gerardo, Amigo-Jorrín María Del Campo
Multiple Sclerosis Unit, Department of Neurology, Hospital Clínico Universitario Virgen de la Arrixaca, Murcia, Spain.
Cathedra of Clinical Neuroimmunology & Multiple Sclerosis, UCAM Universidad Católica San Antonio de Murcia, España.
Neurodegener Dis Manag. 2016 Aug;6(4):277-87. doi: 10.2217/nmt-2016-0014. Epub 2016 Aug 2.
To assess potential predictors for burden and depression among caregivers of relapsing-remitting multiple sclerosis patients in Spain. Family functioning and social support were also assessed.
PATIENTS & METHODS: Multicenter and cross-sectional study in relapsing-remitting multiple sclerosis adult patients and their respective informal caregivers (n = 180). Assessment performed: Zarit Scale (Burden), Center for Epidemiologic Studies Depression-7 Scale (depression), Family APGAR (Adaptation, Partnership, Growth, Affection, Resolve) Questionnaire (family functioning) and Duke UNC-11 Functional Social Support Questionnaire (social support). Multivariate logistic regression analysis assessed burden and depression predictors among caregivers.
Caregivers suffered burden (19.4%) and depression (20.6%) and perceived poor social support (9.4%) and family dysfunction (10.6%). Burden predictors were patient's degree of disability, caregiver time and number of medications administered to patient. Depression predictors were patient's age and daily caregiving time.
The factors reported here could help clinicians to identify caregiver groups particularly at risk of burden and depression for timely intervention.
评估西班牙复发缓解型多发性硬化症患者的照料者中负担和抑郁的潜在预测因素。同时也评估了家庭功能和社会支持情况。
对复发缓解型多发性硬化症成年患者及其各自的非正式照料者(n = 180)进行多中心横断面研究。进行的评估包括:扎里特负担量表(负担)、流行病学研究中心抑郁量表-7(抑郁)、家庭APGAR(适应、伙伴关系、成长、情感、解决)问卷(家庭功能)和杜克大学北卡罗来纳州功能性社会支持问卷(社会支持)。多变量逻辑回归分析评估了照料者中负担和抑郁的预测因素。
照料者存在负担(19.4%)和抑郁(20.6%),并感觉社会支持不足(9.4%)和家庭功能失调(10.6%)。负担的预测因素为患者的残疾程度、照料者的时间以及给患者服用的药物数量。抑郁的预测因素为患者的年龄和每日照料时间。
此处报告的因素可帮助临床医生识别特别有负担和抑郁风险的照料者群体,以便及时进行干预。