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A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Caregiver burden in mild cognitive impairment due to Alzheimer's disease-a longitudinal study
Margarida Rebolo1, João Maroco2, Alexandre de Mendonça1
1Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal.
Background:
Caregivers of people with mild forms of cognitive decline, namely mild cognitive impairment (MCI), are subjected to caregiver burden. In recent years, a major breakthrough was the possibility of diagnosing Alzheimer's disease (AD) reliably in patients that present with MCI, as required for the use of the recently approved anti-amyloid therapies. We aimed to examine the caregiver burden in caregivers of patients with MCI due to AD, describe how caregiver burden evolves with time, and determine caregiver baseline factors that might predict the progression of burden.
Methods:
Twenty-five dyads of community-dwelling patients and caregivers were consecutively recruited from a memory outpatient clinic, after receiving the diagnosis of MCI due to AD. Caregiver burden was measured with the Zarit Burden Inventory (ZBI), life satisfaction with Satisfaction With Life Scale, depressive symptoms with the Centre for Epidemiological Studies-Depression Scale (CES-D), anxiety symptoms with the State Anxiety Subscale of the State-Trait Anxiety Inventory (STAI) and patient neuropsychiatric symptoms with the Neuropsychiatric Inventory (NPI).
Results:
At baseline, the mean ZBI score was 24.5 ± 15.2 and correlated positively with caregiver CES-D and STAI scores and with patient neuropsychiatric symptoms (NPI-frequency × severity) and distress felt by the caregiver (NPI-distress). At follow-up (17.7 ± 9.4 months) the mean ZBI score increased to 31.4 ± 16.3 (P < 0.001); however, no baseline caregiver or patient characteristics were identified associated with the evolution of caregiver burden.
Conclusions:
Caregivers of patients who received a diagnosis of MCI due to AD report substantial burden, that increased with time. Future studies should investigate caregiver characteristics that may predict burden progression and help delineate strategies to minimise it.
Insights
Caregiver burden in mild cognitive impairment (MCI) due to Alzheimer's disease (AD) is substantial and increases over time. No baseline factors predicted this progression, highlighting the need for future research into effective support strategies for these caregivers.
Area of Science:
- Neuroscience
- Gerontology
- Psychology
Background:
- Caregivers of individuals with mild cognitive impairment (MCI) experience significant caregiver burden.
- Recent advancements allow reliable diagnosis of Alzheimer's disease (AD) in MCI patients, enabling early intervention with anti-amyloid therapies.
- Understanding caregiver burden is crucial for supporting patients with MCI due to AD.
Purpose of the Study:
- To examine caregiver burden in individuals caring for patients with MCI due to AD.
- To describe the longitudinal changes in caregiver burden over time.
- To identify baseline caregiver and patient factors that may predict the progression of caregiver burden.
Main Methods:
- A cohort of 25 patient-caregiver dyads diagnosed with MCI due to AD were recruited from a memory clinic.
- Caregiver burden was assessed using the Zarit Burden Inventory (ZBI).
- Additional measures included life satisfaction, depressive symptoms (CES-D), anxiety (STAI), and patient neuropsychiatric symptoms (NPI).
Main Results:
- Baseline ZBI scores averaged 24.5, correlating with caregiver distress and patient neuropsychiatric symptoms.
- Over a mean follow-up of 17.7 months, ZBI scores significantly increased to 31.4 (P < 0.001).
- No baseline caregiver or patient characteristics were found to predict the increase in caregiver burden.
Conclusions:
- Caregivers of patients with MCI due to AD experience considerable and escalating burden.
- Further research is needed to identify predictors of burden progression.
- Developing strategies to minimize caregiver burden is essential for improving care quality.
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