Physical and Cognitive Profiles in Motor Cognitive Risk Syndrome in an Older Population From Southern Italy

2021 ◽  
Author(s):  
Ilaria Bortone ◽  
Chiara Griseta ◽  
Petronilla Battista ◽  
Fabio Castellana ◽  
Luisa Lampignano ◽  
...  
Keyword(s):  
Southern Italy ◽  
Cognitive Profiles ◽  
Older Population ◽  
Cognitive Risk

Physical Frailty, Multimorbidity, and All-Cause Mortality in an Older Population From Southern Italy: Results from the Salus in Apulia Study

2021 ◽  
Vol 22 (3) ◽  
pp. 598-605
Author(s):  
Fabio Castellana ◽  
Luisa Lampignano ◽  
Ilaria Bortone ◽  
Roberta Zupo ◽  
Madia Lozupone ◽  
...  
Keyword(s):  
Southern Italy ◽  
Physical Frailty ◽  
Older Population ◽  
All Cause Mortality

scholarly journals Age-Related Central Auditory Processing Disorder, MCI, and Dementia in an Older Population of Southern Italy

2020 ◽  
Vol 163 (2) ◽  
pp. 348-355 ◽  
Author(s):  
Rodolfo Sardone ◽  
Petronilla Battista ◽  
Rossella Donghia ◽  
Madia Lozupone ◽  
Rosanna Tortelli ◽  
...  
Keyword(s):  
Auditory Processing ◽  
Odds Ratio ◽  
Southern Italy ◽  
Population Based ◽  
Auditory Processing Disorder ◽  
Central Auditory Processing ◽  
Central Auditory Processing Disorder ◽  
Older Population ◽  
Cross Sectional ◽  
Age Related

Objective We explored the associations of age-related central auditory processing disorder (CAPD) with mild cognitive impairment (MCI) and dementia in an older population-based cohort in Apulia, Southern Italy (GreatAGE Study). Study Design Cross-sectional data from a population-based study. Setting Castellana Grotte, Bari, Italy. Subjects and Methods Between 2013 and 2018, MCI, dementia, age-related CAPD (no disabling hearing loss and <50% score on the SSI-ICM test [Synthetic Sentence Identification–Ipsilateral Competing Message]), neurologic and neuropsychological examinations, and serum metabolic biomarkers assays were investigated on 1647 healthy volunteers aged >65 years. Results The prevalences of age-related CAPD, MCI, and dementia were 14.15%, 15.79%, and 3.58%, respectively. Among the subjects with MCI and dementia, 19.61% and 42.37% had age-related CAPD. In the regressive models, age-related CAPD was associated with MCI (odds ratio, 1.50; 95% CI, 1.01-2.21) and dementia (odds ratio, 2.23; 95% CI, 1.12-4.42). Global cognition scores were positively associated with increasing SSI-ICM scores in linear models. All models were adjusted for demographics and metabolic serum biomarkers. Conclusion The tight association of age-related CAPD with MCI and dementia suggests the involvement of central auditory pathways in neurodegeneration, but it is not clear which is the real direction of this association. However, CAPD is a possible diagnostic marker of cognitive dysfunction in older patients.

Characterizing cognitive heterogeneity on the schizophrenia–bipolar disorder spectrum

2017 ◽  
Vol 47 (10) ◽  
pp. 1848-1864 ◽  
Author(s):  
T. E. Van Rheenen ◽  
K. E. Lewandowski ◽  
E. J. Tan ◽  
L. H. Ospina ◽  
D. Ongur ◽  
...  
Keyword(s):  
Bipolar Disorder ◽  
Clinical Group ◽  
Cognitive Profiles ◽  
Cognitive Differences ◽  
Cognitive Risk ◽  
Average Analysis ◽  
Healthy Control ◽  
Group A ◽  
Cluster A ◽  
Cognitive Heterogeneity

BackgroundCurrent group-average analysis suggests quantitative but not qualitative cognitive differences between schizophrenia (SZ) and bipolar disorder (BD). There is increasing recognition that cognitive within-group heterogeneity exists in both disorders, but it remains unclear as to whether between-group comparisons of performance in cognitive subgroups emerging from within each of these nosological categories uphold group-average findings. We addressed this by identifying cognitive subgroups in large samples of SZ and BD patients independently, and comparing their cognitive profiles. The utility of a cross-diagnostic clustering approach to understanding cognitive heterogeneity in these patients was also explored.MethodHierarchical clustering analyses were conducted using cognitive data from 1541 participants (SZn= 564, BDn= 402, healthy controln= 575).ResultsThree qualitatively and quantitatively similar clusters emerged within each clinical group: a severely impaired cluster, a mild-moderately impaired cluster and a relatively intact cognitive cluster. A cross-diagnostic clustering solution also resulted in three subgroups and was superior in reducing cognitive heterogeneity compared with disorder clustering independently.ConclusionsQuantitative SZ–BD cognitive differences commonly seen using group averages did not hold when cognitive heterogeneity was factored into our sample. Members of each corresponding subgroup, irrespective of diagnosis, might be manifesting the outcome of differences in shared cognitive risk factors.

scholarly journals Motoric Cognitive Risk Syndrome Subtypes and Cognitive Profiles

2015 ◽  
Vol 71 (3) ◽  
pp. 378-384 ◽  
Author(s):  
Gilles Allali ◽  
Emmeline I. Ayers ◽  
Joe Verghese
Keyword(s):  
Cognitive Profiles ◽  
Cognitive Risk

scholarly journals Prevalence and Cognitive Profiles of Children With Comorbid Literacy and Motor Disorders

2020 ◽  
Vol 11 ◽  
Author(s):  
Cameron Downing ◽  
Markéta Caravolas
Keyword(s):  
Phonological Processing ◽  
Community Sample ◽  
Motor Disorder ◽  
Attention And Memory ◽  
Motor Disorders ◽  
Cognitive Profiles ◽  
Deficit Model ◽  
Cognitive Risk ◽  
Visuospatial Processing ◽  
Motor Difficulties

There is a high prevalence of comorbidity between neurodevelopmental disorders. Contemporary research of these comorbidities has led to the development of multifactorial theories of causation, including the multiple deficit model (MDM). While several combinations of disorders have been investigated, the nature of association between literacy and motor disorders remains poorly understood. Comorbid literacy and motor disorders were the focus of the two present studies. In Study 1, we examined the prevalence of comorbid literacy and motor difficulties relative to isolated literacy and motor difficulties in a community sample (N = 605). The prevalence of comorbidity was five times greater than expected by chance alone, implying some relationship between difficulties. In Study 2, we examined the cognitive profiles of children with literacy and motor disorders amongst a subsample of children from Study 1 (N = 153). Children with literacy disorder had deficits in phonological processing, selective attention, and memory whilst children with motor disorder had deficits in visuospatial processing and memory, suggesting the disorders should be considered to have both independent and shared (memory) cognitive risk factors. Children with comorbid literacy and motor disorder demonstrated an additive combination of these deficits. Together, these findings are consistent with predictions from the MDM.

Clinical Decision-Making for Stroke and Aphasia in the Older Adult

2009 ◽  
Vol 14 (1) ◽  
pp. 4-11 ◽  
Author(s):  
Jacqueline Hinckley
Keyword(s):  
Executive Function ◽  
Cerebrovascular Disease ◽  
Cognitive Abilities ◽  
Clinical Decision Making ◽  
Clinical Decision ◽  
Cognitive Profile ◽  
Focal Lesion ◽  
Cognitive Profiles ◽  
Supportive Communication ◽  
Spaced Retrieval

Abstract A patient with aphasia that is uncomplicated by other cognitive abilities will usually show a primary impairment of language. The frequency of additional cognitive impairments associated with cerebrovascular disease, multiple (silent or diagnosed) infarcts, or dementia increases with age and can complicate a single focal lesion that produces aphasia. The typical cognitive profiles of vascular dementia or dementia due to cerebrovascular disease may differ from the cognitive profile of patients with Alzheimer's dementia. In order to complete effective treatment selection, clinicians must know the cognitive profile of the patient and choose treatments accordingly. When attention, memory, and executive function are relatively preserved, strategy-based and conversation-based interventions provide the best choices to target personally relevant communication abilities. Examples of treatments in this category include PACE and Response Elaboration Training. When patients with aphasia have co-occurring episodic memory or executive function impairments, treatments that rely less on these abilities should be selected. Examples of treatments that fit these selection criteria include spaced retrieval and errorless learning. Finally, training caregivers in the use of supportive communication strategies is helpful to patients with aphasia, with or without additional cognitive complications.

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