Abdollahpour Ibrahim, Nedjat Saharnaz, Salimi Yahya, Noroozian Maryam, Majdzadeh Reza
School of Public Health, Arak University of Medical Sciences, Arak, Iran; Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
Psychogeriatrics. 2015 Mar;15(1):51-7. doi: 10.1111/psyg.12094. Epub 2014 Dec 17.
The central role of family in caregiving for patients with dementia is now widely acknowledged. However, in playing this role, caregivers may neglect their health and quality of life (QOL). The purposes of present study were to measure caregivers' QOL and to determine its adjusted predictors via multiple regression models.
We used sequential sampling to recruit 153 patients and their caregivers from the Iran Alzheimer Association in our cross-sectional study. A single-item question with a Likert scale was applied to measure QOL. A multiple linear regression model was used to determine the adjusted predictors of QOL.
Of the responding caregivers, 22.8% reported their QOL as poor or very poor. Caregiver burden, the main caregiver's age, the Global Deterioration Scale, and the number of caregivers were introduced as adjusted predictors of QOL.
Caregiver burden was proposed as the strongest adjusted predictor for caregivers' poor QOL. Therefore, it seems that interventions to reduce caregiver burden can be effective in enhancing caregivers' QOL.
家庭在痴呆症患者护理中的核心作用现已得到广泛认可。然而,在扮演这一角色时,照顾者可能会忽视自身健康和生活质量(QOL)。本研究的目的是测量照顾者的生活质量,并通过多元回归模型确定其调整后的预测因素。
在我们的横断面研究中,我们采用序贯抽样从伊朗阿尔茨海默病协会招募了153名患者及其照顾者。采用单项李克特量表问题来测量生活质量。使用多元线性回归模型来确定生活质量的调整预测因素。
在做出回应的照顾者中,22.8%报告他们的生活质量为差或非常差。照顾者负担、主要照顾者的年龄、总体衰退量表以及照顾者数量被作为生活质量的调整预测因素引入。
照顾者负担被认为是照顾者生活质量差的最强调整预测因素。因此,似乎减轻照顾者负担的干预措施可能有效提高照顾者的生活质量。