Classes of psychotropic drugs of the patients.

Classes of psychotropic drugs of the patients.

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In spite of the uncertainties of its diagnostic framework, pseudodementia may be conceptualized as a condition characterized by depressive symptoms and cognitive impairment in the absence of dementia. Given the controversies on this topic, the aim of the present study was to assess neurological and cognitive dysfunctions in a sample of elderly depr...

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... patients (61.4%) were treated with a mood stabilizer (valproic acid, lithium salts, gabapentin), and six of these (10.5%) with two mood-stabilizers. Forty-nine patients (86%) were treated with antidepressants (SSRIs, SNRIs, tricyclics, mirtazapine), 22 twenty-two (38.6%) with an antipsychotic (quetiapine, clozapine, perphenazine, olanzapine, risperidone), 14 fourteen with benzodiazepines (24.6%), and one patient (1.8%) with an acetylcholinesterase inhibitor (AchEI) (Figure 1). Brain Sci. ...
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... 13, x FOR PEER REVIEW 6 Thirty-five patients (61.4%) were treated with a mood stabilizer (valproic acid, lith salts, gabapentin), and six of these (10.5%) with two mood-stabilizers. Forty-nine pat (86%) were treated with antidepressants (SSRIs, SNRIs, tricyclics, mirtazapine twenty-two (38.6%) with an antipsychotic (quetiapine, clozapine, perphena olanzapine, risperidone), 14 fourteen with benzodiazepines (24.6%), and one pa (1.8%) with an acetylcholinesterase inhibitor (AchEI) (Figure 1). Only three patients (5.3%) underwent neuroradiological investigations however, did not reveal any organic alterations. ...

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... The finding though for schizophrenia to overwhelmingly dominate CNsMD cases leads to the prominent impact of social withdrawal. In particular, the causes of social withdrawal in schizophrenia are deficits in many aspects of life including cognitive, perceptual, motor, and emotional which can be exaggerated by multiple relapses [22][23][24][25][26][27][28][29]. These deficits also occur in other CNsMD but at a lower severity. ...
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Purpose This study explores the geospatial distribution of Chronic Non-Substances Mental Disorders (CNsMD) in Makassar, Indonesia, and the impact of geospatial dependency on the connectivity of biopsychosocial factors and psychological distress of CNSMD Methods Community-based cross-sectional surveys of 733 respondents with CNsMDs from the 18 public health centers in Makassar, Indonesia were analyzed. Geospatial analysis using Global and Local Moran’s I was performed to investigate the distribution pattern of every CNsMD in Makassar. Exposures included the biopsychosocial domains. Outcomes were defined as psychological distress quantified with the GHQ-12 instrument. Two models were used to explore associations between exposures and outcomes: multivariable logistic regression and spatial regression. Results Among 733 respondents, 56,2% were female; the mean age was 35.99 years. Schizophrenia predominated for 39.02% of all CNsMD. Random distribution for CNsMD was identified (Global Moran’s I 0.196, Z-score = 1.429,p = 0.07). Multivariable logistic regression analysis showed that biological factors with old age > 47 y.o. (adjusted odds ratio [AOR] 13.44,95%CI = 5.17 to 19.55), refusal to be referred to a psychiatrist (AOR 3.52,95%CI = 1.68 to 7.35), social domains in the form of self-stigma (AOR 3.47, 95%CI = 1.83 to 6.59), and high family economic status (AOR = 4.81,95%CI = 1.46 to 15.89) were significantly (p < 0.05) increased the psychological distress. The spatial regression demonstrated psycho-cognitive factors as the most predominant factor in reducing psychological distress (R² = 0.509,p < 0.001). Conclusion The geospatial dependency of biopsychosocial factors on CNsMD’s psychological distress in the population requires the design of inclusive and targeted community interventions.