9 research outputs found
âThe understanding and attitude toward epilepsy in the SoussâMassa region of Moroccoâ
Abstract Objective Sociocultural beliefs about epilepsy impede medical treatment and social acceptance of people with epilepsy. These barriers can lead to disability and contribute to the stigmatization of people with epilepsy. Assessing knowledge, myths, and attitude about epilepsy and associated factors among adults in SoussâMassa, Morocco. Methods We conducted a crossâsectional study in which data were collected from a sample of 385 individuals in the SoussâMassa region of Southern Morocco. Data were collected through faceâtoâface interviews using a structured questionnaire. The analysis of the collected questionnaires was processed using IBM SPSS Statistics 26. Results 385 responses were included in the analysis. The results reveal a lack of knowledge, an unfavorable attitude, and the persistence of myths and misunderstandings about epilepsy. The findings of this study suggest that good knowledge was significantly associated with sociodemographic factors: the age range of more than 54âyears and health professional status. In addition, the favorable attitude toward epilepsy correlates with the sociodemographic factors: male gender and urban residential area. Significance The main finding of this study indicates insufficient knowledge, the persistence of myth, and an unfavorable attitude about epilepsy. Therefore, the application of public awareness programs about epilepsy in urban and rural areas is necessary
Behavioral and psychological subsyndromes in Alzheimer's disease using the Neuropsychiatric Inventory
Objective Behavioral and psychological symptoms of dementia represent common clinical features of dementias, contributing to the heterogeneous phenotypic expression of Alzheimer's disease (AD). During the last two decades, several studies explored the possible presence of neuropsychiatric subsyndromes in dementia by examining the internal structure of the Neuropsychiatric Inventory (NPI). The aim of the present review is to present available evidence coming from studies adopting factor analysis to explore the NPI and describe neuropsychiatric clusters of symptoms in AD. Design A systematic review of literature was performed concerning available studies describing neuropsychiatric subsyndromes in AD by adopting the NPI. Results Overall, our analysis showed a relatively low concordance among available evidence for what concerns the definition and composition of NPI clusters, possibly due (at least in part) to the heterogeneity of the sample populations recruited in the studies. However, we also observed some consistent associations of specific symptoms across studies, defining potential subsyndromes in AD. More consistent results were obtained by studies evaluating the 10-item version of the NPI rather than the more recent 12-item one. Conclusions This review represents the first attempt to systematically evaluate evidence coming from factor analyses exploring the internal structure of the NPI in order to facilitate the identification of neuropsychiatric syndromes in AD patients. The NPI may support the definition of behavioral subsyndromes in AD. The evaluation of neuropsychiatric subsyndromes should always take into account the main potential confounders, such as age, severity of disease, and concomitant pharmacological treatment. Copyright (c) 2012 John Wiley & Sons, Ltd
Impact of behavioral subsyndromes on cognitive decline in Alzheimer's disease: data from the ICTUS study
Behavioral and psychological symptoms of dementia (BPSD) represent common manifestations among patients affected by Alzheimer's disease (AD). Some reports have recently classified BPSD into specific clusters/subsyndromes exploring the internal structure of the Neuropsychiatric Inventory (NPI). We evaluated whether specific behavioral subsyndromes are associated with worsening cognitive function. Mild to moderate AD patients were recruited from the cohort of the Impact of Cholinergic Treatment USe (ICTUS) study. Neuropsychiatric symptoms were classified in three subsyndromes, identified at baseline, grouping different combinations of NPI items: (1) "psychotic" ("delusions" and/or "hallucinations"); (2) "affective" ("agitation" and/or "depression" and/or "anxiety" and/or "irritability"); and (3) "behavioral" ("euphoria" and/or "apathy" and/or "disinhibition" and/or "aberrant motor behavior"). Mixed model analyses were performed to measure six-monthly changes in the ADAS-Cog score over a follow-up of 2 years, according to these subsyndromes. All analyses were stratified according to AD severity as defined by the Clinical Dementia Rating (CDR). A total of 1,375 AD subjects were recruited. No NPI cluster was found to significantly (p < 0.05) affect the rate of cognitive decline across the 3 CDR classes. Our results suggest that the cognitive course of AD is not substantially influenced by the presence of specific neuropsychiatric phenotypes. Further studies are needed to extend the present findings and identify possible biological and clinical bases for behavioral subsyndromes
Impact of behavioral subsyndromes on cognitive decline in Alzheimer's disease: data from the ICTUS study
Behavioral and psychological symptoms of dementia (BPSD) represent common manifestations among patients affected by Alzheimer's disease (AD). Some reports have recently classified BPSD into specific clusters/subsyndromes exploring the internal structure of the Neuropsychiatric Inventory (NPI). We evaluated whether specific behavioral subsyndromes are associated with worsening cognitive function. Mild to moderate AD patients were recruited from the cohort of the Impact of Cholinergic Treatment USe (ICTUS) study. Neuropsychiatric symptoms were classified in three subsyndromes, identified at baseline, grouping different combinations of NPI items: (1) "psychotic" ("delusions" and/or "hallucinations"); (2) "affective" ("agitation" and/or "depression" and/or "anxiety" and/or "irritability"); and (3) "behavioral" ("euphoria" and/or "apathy" and/or "disinhibition" and/or "aberrant motor behavior"). Mixed model analyses were performed to measure six-monthly changes in the ADAS-Cog score over a follow-up of 2 years, according to these subsyndromes. All analyses were stratified according to AD severity as defined by the Clinical Dementia Rating (CDR). A total of 1,375 AD subjects were recruited. No NPI cluster was found to significantly (p < 0.05) affect the rate of cognitive decline across the 3 CDR classes. Our results suggest that the cognitive course of AD is not substantially influenced by the presence of specific neuropsychiatric phenotypes. Further studies are needed to extend the present findings and identify possible biological and clinical bases for behavioral subsyndromes