scholarly journals Factors associated with caregiver burden: comparative study between Brazilian and Spanish caregivers of patients with Alzheimer's disease (AD)

2016 ◽  
Vol 28 (8) ◽  
pp. 1363-1374 ◽  
Author(s):  
Maria Fernanda B. Sousa ◽  
Raquel L. Santos ◽  
Oriol Turró-Garriga ◽  
Rachel Dias ◽  
Marcia C. N. Dourado ◽  
...  

ABSTRACTBackground:Transcultural studies regarding the comparison of levels of burden in caregivers of patients with Alzheimer's disease (AD) from Europe and Latin America are rare. We designed this study to investigate the differentiating factors associated with burden in Brazilian and Spanish caregivers of patients with AD.Methods:This is a cross-sectional study composed by samples of outpatients with AD and their caregivers from Brazil (n = 128) and Spain (n = 146). Caregivers answered the Zarit Burden Interview (ZBI) and a Sociodemographic Questionnaire. Patients were assessed with the Mini-Mental State Examination (MMSE), Functional Activities Questionnaire (FAQ), Disability Assessment for Dementia (DAD), Neuropsychiatric Inventory (NPI), and Clinical Dementia Rating (CDR) Scale.Results:In the multivariate regression analysis, high burden levels were reported in Brazil, when caregivers were female (p = 0.025) and when patients did not attend Day Care Center (p = 0.025). In Spain, high burden levels were associated with living with the patient (p = 0.014), younger caregivers (p = 0.003), and participation of patients at Day Care Center (p = 0.046). Also, different neuropsychiatric symptoms explained high burden levels: in Brazil, depression (p < 0.001) and anxiety (p = 0.024) and, in Spain, apathy/indifference (p < 0.001), agitation/aggression (p = 0.019) and irritability/lability (p = 0.027).Conclusions:Caregivers’ gender, patients who attended Day Care Center and neuropsychiatric symptoms were differentiating factors in the burden of Brazilian and Spanish caregivers.

2013 ◽  
Vol 7 (2) ◽  
pp. 171-175
Author(s):  
Gustavo Henrique de Oliveira Caldas ◽  
Sueli Luciano Pires ◽  
Milton Luiz Gorzoni

ABSTRACT Neuropsychiatric symptoms (NPS) cause distress, disabilitiy and reduced quality of life for both the patient and their families Objective: To evaluate the prevalence of NPS as a specific stage of dementia status. Methods: A cross-sectional study in patients attending an outpatient clinic for dementia was performed. We applied the Neuropsychiatric Inventory and Clinical Dementia Rating (CDR) scale. Statistical analysis was carried out with SPSS 17 software. Results: The 124 subjects (mean age of 80.4±7.0 years), 88 women (70.9%) had average duration of dementia of 7.1±3.2 years, most common dementias of Alzheimer's disease (35.5%) and mixed (31.5%) and most prevalent NPS of apathy (75%) and irritability (66.9%). Correlation between apathy and a CDR 1 had a PR (prevalence ratio) = 0.289 and p<0.001 while between apathy and CDR 4-5 (PR=8.333, p<0.005). A similar result was found between aberrant motor behavior (AMB) and CDR 1 (PR=0.352, p<0.003) and between AMB and CDR4-5 (PR=2.929, p<0.006). Conclusion: Alzheimer's disease and mixed dementia were predominant, while apathy and AMB were detected in association with the progressive stages of dementia.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Manee Pinyopornpanish ◽  
Kanokporn Pinyopornpanish ◽  
Atiwat Soontornpun ◽  
Surat Tanprawate ◽  
Angkana Nadsasarn ◽  
...  

Abstract Background Caregiver burden affects the caregiver’s health and is related to the quality of care received by patients. This study aimed to determine the extent to which caregivers feel burdened when caring for patients with Alzheimer’s Disease (AD) and to investigate the predictors for caregiving burden. Methods A cross-sectional study was conducted. One hundred two caregivers of patients with AD at Maharaj Nakorn Chiang Mai Hospital, a tertiary care hospital, were recruited. Assessment tools included the perceived stress scale (stress), PHQ-9 (depressive symptoms), Zarit Burden Interview-12 (burden), Clinical Dementia Rating (disease severity), Neuropsychiatric Inventory Questionnaires (neuropsychiatric symptoms), and Barthel Activities Daily Living Index (dependency). The mediation analysis model was used to determine any associations. Results A higher level of severity of neuropsychiatric symptoms (r = 0.37, p < 0.01), higher level of perceived stress (r = 0.57, p < 0.01), and higher level of depressive symptoms (r = 0.54, p < 0.01) were related to a higher level of caregiver burden. The direct effect of neuropsychiatric symptoms on caregiver burden was fully mediated by perceived stress and depressive symptoms (r = 0.13, p = 0.177), rendering an increase of 46% of variance in caregiver burden by this parallel mediation model. The significant indirect effect of neuropsychiatric symptoms by these two mediators was (r = 0.21, p = 0.001). Conclusion Caregiver burden is associated with patients’ neuropsychiatric symptoms indirectly through the caregiver’s depressive symptoms and perception of stress. Early detection and provision of appropriate interventions and skills to manage stress and depression could be useful in reducing and preventing caregiver burden.


2021 ◽  
Author(s):  
Aline De Lucena ◽  
Paulo Fernando Santos ◽  
Marcia Cristina Dourado

Background: In recent years, interest has been growing in cognitive and affective ToM functioning in individuals suffering from neurodegenerative disorders, such as Alzheimer’s disease (AD). However, the affective ToM has been less investigated. Objective: This study aims to compare affective ToM performance in persons with mild to moderate AD and healthy older controls (HOC), and its relationship with cognition. Methods: A cross-sectional study of 97 mild to moderate AD individuals and 40 HOC. To assess affective ToM, participants were administered a task that examines ability to comprehend the emotional situation nature along with the appropriate emotional state that one would experience in that situation. Assessments of cognition, dementia severity, functionality, awareness of disease and neuropsychiatric symptoms were completed for AD group. Results: Analyses of emotional reasoning indicated a group effect on performance. There was a significant difference between the AD and HOC groups in terms of their ability to understand situations of sadness, surprise, anger, and happiness, with the moderate AD showing the worst performance for all emotional situations. Ability to appropriately name the emotional state was significantly different for surprise, anger, and happiness, but not for sadness, with both AD groups showing lower performance for surprise and anger, and with the mild AD showing better performance for happiness. In both AD groups, ability to understand the emotional situation and to name the emotion was significantly correlated with cognitive impairment and awareness of disease. Neuropsychiatric symptoms were significantly correlated in moderate AD group. Conclusions: Impairment in understanding the emotional aspects of situations can lead moderate AD people to experience conflicts in family and social situations. Mild AD people can experience same conflicts when their preserved ability in understanding the emotional situation is underestimated.


2019 ◽  
Vol 13 (4) ◽  
pp. 469-474 ◽  
Author(s):  
Cristiani Sartorio Menegardo ◽  
Fernanda Alencar Friggi ◽  
Julia Baldon Scardini ◽  
Tais Souza Rossi ◽  
Thais dos Santos Vieira ◽  
...  

ABSTRACT The sundown syndrome is a complex neurobehavioral disorder in patients with dementia associated with high financial cost and significant caregiver burden. It is a multifactorial phenomenon with unclear pathophysiology, characterized by the presence of neuropsychiatric symptoms in the evening period. Objective: To analyze the main neuropsychiatric symptoms, their correlation with one another, with comorbidities, and with time of day of greatest symptom intensity in patients with Alzheimer’s disease dementia. Methods: This is a cross-sectional, observational and explanatory study in which caregivers/relatives of elderly patients with dementia were interviewed using a structured tool called the Neuropsychiatric Inventory (NPI). Results: The sample studied was composed of 38 patients, 60.5% female and 39.5% male, with mean age of 81±6 (67-94) years. A high frequency of neuropsychiatric symptoms in the evening period was observed, predominantly irritability (55.3%), nocturnal behavior (47.4%), and aggressiveness (42.1%). Only 36.8% of the family caregivers used non-pharmacological strategies. Conclusion: The frequency of neuropsychiatric symptoms was exacerbated in the evening among patients with Alzheimer’s disease, especially for those behavioral symptoms that had a positive correlation with one another.


2019 ◽  
Vol 9 (9) ◽  
pp. 212 ◽  
Author(s):  
Lawrence Fulton ◽  
Diane Dolezel ◽  
Jordan Harrop ◽  
Yan Yan ◽  
Christopher Fulton

Background. Alzheimer’s is a disease for which there is no cure. Diagnosing Alzheimer’s disease (AD) early facilitates family planning and cost control. The purpose of this study is to predict the presence of AD using socio-demographic, clinical, and magnetic resonance imaging (MRI) data. Early detection of AD enables family planning and may reduce costs by delaying long-term care. Accurate, non-imagery methods also reduce patient costs. The Open Access Series of Imaging Studies (OASIS-1) cross-sectional MRI data were analyzed. A gradient boosted machine (GBM) predicted the presence of AD as a function of gender, age, education, socioeconomic status (SES), and a mini-mental state exam (MMSE). A residual network with 50 layers (ResNet-50) predicted the clinical dementia rating (CDR) presence and severity from MRI’s (multi-class classification). The GBM achieved a mean 91.3% prediction accuracy (10-fold stratified cross validation) for dichotomous CDR using socio-demographic and MMSE variables. MMSE was the most important feature. ResNet-50 using image generation techniques based on an 80% training set resulted in 98.99% three class prediction accuracy on 4139 images (20% validation set) at Epoch 133 and nearly perfect multi-class predication accuracy on the training set (99.34%). Machine learning methods classify AD with high accuracy. GBM models may help provide initial detection based on non-imagery analysis, while ResNet-50 network models might help identify AD patients automatically prior to provider review.


2011 ◽  
Vol 24 (2) ◽  
pp. 197-204 ◽  
Author(s):  
Alessandro Sona ◽  
Ping Zhang ◽  
David Ames ◽  
Ashley I. Bush ◽  
Nicola T. Lautenschlager ◽  
...  

ABSTRACTBackground: The AIBL study, which commenced in November 2006, is a two-center prospective study of a cohort of 1112 volunteers aged 60+. The cohort includes 211 patients meeting NINCDS-ADRDA criteria for Alzheimer's disease (AD) (180 probable and 31 possible). We aimed to identify factors associated with rapid cognitive decline over 18 months in this cohort of AD patients.Methods: We defined rapid cognitive decline as a drop of 6 points or more on the Mini-Mental State Examination (MMSE) between baseline and 18-month follow-up. Analyses were also conducted with a threshold of 4, 5, 7 and 8 points, as well as with and without subjects who had died or were too severely affected to be interviewed at 18 months and after, both including and excluding subjects whose AD diagnosis was “possible” AD. We sought correlations between rapid cognitive decline and demographic, clinical and biological variables.Results: Of the 211 AD patients recruited at baseline, we had available data for 156 (73.9%) patients at 18 months. Fifty-one patients were considered rapid cognitive decliners (32.7%). A higher Clinical Dementia Rating scale (CDR) and higher CDR “sum of boxes” score at baseline were the major predictors of rapid cognitive decline in this population. Furthermore, using logistic regression model analysis, patients treated with a cholinesterase inhibitor (CheI) had a higher risk of being rapid cognitive decliners, as did males and those of younger age.Conclusions: Almost one third of patients satisfying established research criteria for AD experienced rapid cognitive decline. Worse baseline functional and cognitive status and treatment with a CheI were the major factors associated with rapid cognitive decline over 18 months in this population.


2017 ◽  
Vol 30 (1) ◽  
pp. 103-113 ◽  
Author(s):  
N. Siafarikas ◽  
G. Selbaek ◽  
T. Fladby ◽  
J. Šaltytė Benth ◽  
E. Auning ◽  
...  

ABSTRACTBackground:Neuropsychiatric symptoms (NPS), such as depression, apathy, agitation, and psychotic symptoms are common in mild cognitive impairment (MCI) and dementia in Alzheimer's disease (AD). Subgroups of NPS have been reported. Yet the relationship of NPS and their subgroups to different stages of cognitive impairment is unclear. Most previous studies are based on small sample sizes and show conflicting results. We sought to examine the frequency of NPS and their subgroups in MCI and different stages of dementia in AD.Methods:This was a cross-sectional study using data from a Norwegian national registry of memory clinics. From a total sample of 4,571 patients, we included those with MCI or AD (MCI 817, mild AD 883, moderate–severe AD 441). To compare variables across groups ANOVA or χ2-test was applied. We used factor analysis of Neuropsychiatric Inventory Questionnaire (NPI-Q) items to identify subgroups of NPS.Results:The frequency of any NPS was 87.2% (AD 91.2%, MCI 79.5%; p < 0.001) and increased with increasing severity of cognitive decline. The most frequent NPS in MCI was depression. Apathy was the most frequent NPS in AD across different stages of severity. The factor analysis identified three subgroups in MCI and mild AD, and a fourth one in moderate–severe AD. We labelled the subgroups “depression,” “agitation,” “psychosis,” and “elation.”Conclusions:The frequency of NPS is high in MCI and AD and increases with the severity of cognitive decline. The subgroups of NPS were relatively consistent from MCI to moderate-severe AD. The subgroup elation appeared only in moderate-severe AD.


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