This study aimed to determine: i) the correlation between objective and subjective cognition, ii) the correlates of objective and subjective cognition and iii) the predictors of discrepancy between objective and subjective cognition. Participants were non-elderly patients with major depressive disorder (MDD). We assessed subjective cognition using the Perceived Deficit Questionnaire for Depression (PDQ-D) and objective cognition using Face I and Face II tests of the Wechsler Memory Scale, 3rd edition and Digit Span and Matrix Reasoning tests of the Wechsler Intelligence Scale for Adults, 3rd edition. The discrepancy between objective and subjective cognition was estimated. Participants were 57 outpatients with MDD. PDQ-D scores were not correlated with composite neurocognitive test (NCT) z scores. Years of education significantly predicted composite NCT z scores, as did age. The 9-item Patient Health Questionnaire (PHQ-9) scores significantly predicted PDQ-D scores, as did antidepressant treatment. Age significantly predicted discrepancy scores, as did PHQ-9 scores. In conclusion, objective and subjective cognition in patients with MDD are not correlated. Age and education predict objective cognition. Depression. severity and antidepressant treatment predict subjective cognition. Age and depression severity may predict the discrepancy between objective and subjective cognition.
BackgroundPrecise estimated risks and benefits of quetiapine for acute bipolar depression are needed for clinical practice.ObjectiveTo systematically review the efficacy and the tolerability of quetiapine, either as monotherapy or combination therapy, for acute bipolar depression.MethodsWe included all randomized, controlled trials (RCTs) comparing quetiapine with other treatments, including placebo, in patients with acute bipolar depression (bipolar I or II disorder, major depressive episode). Published and unpublished RCTs were identified using the Cochrane Central Register of Controlled Trials, MEDLINE®, Web of Knowledge™, CINAHL®, PsycINFO®, the EU Clinical Trials Register database, and ClinicalTrials.gov. The primary outcome was the change scores of depression rating scales.ResultsEleven RCTs (n=3,488) were included. Two of them were conducted in children and adolescents. The change in depression scores was significantly greater in the quetiapine group compared with the placebo group (mean difference, [MD] =−4.66, 95% confidence interval [CI] −5.59 to −3.73). The significant difference was observed from week 1. Compared with placebo, quetiapine had higher incidence rates of extrapyramidal side effects, sedation, somnolence, dizziness, fatigue, constipation, dry mouth, increased appetite, and weight gain but lower risks of treatment-emergent mania and headache. Quetiapine treatment was associated with significant improvement of clinical global impression, quality of life, sleep quality, anxiety, and functioning.ConclusionQuetiapine monotherapy is effective for acute bipolar depression and the prevention of mania/hypomania switching. Its common adverse effects are extrapyramidal side effects, sedation, somnolence, dizziness, fatigue, constipation, dry mouth, increased appetite, and weight gain. The lower risk of headache in quetiapine-treated patients with acute bipolar depression should be further investigated. The evidence for the use of quetiapine combined with mood stabilizers in children and adolescents with acute bipolar depression is too small to support the clinical practice.
PurposeThe study reported here aimed to evaluate both biological and psychosocial factors as predictors for quality of life as well as to examine the associations between the factors and quality of life in individuals with schizophrenia.MethodsEighty individuals with schizophrenia were recruited to the study. The Thai version of the World Health Organization Quality of Life-BREF was utilized to measure the quality of life. The five Marder subscales of the Positive and Negative Syndrome Scale were applied. Other tools for measurement included the Calgary Depression Scale for Schizophrenia and six social support deficits (SSDs). Pearson/Spearman correlation coefficients and the independent t-test were used for the statistical analysis to determine the associations of variables and the overall quality of life and the four domain scores. A multiple linear regression analysis of the overall quality of life and four domain scores was applied to determine their predictors.ResultsThe Positive and Negative Syndrome Scale total score, positive symptoms, negative symptoms, disorganized thought, and anxiety/depression showed a significant correlation with the overall quality of life and most of the four domain scores. Depression, SSDs, and adverse drug events showed a significant correlation with a poorer overall quality of life. The multiple linear regression model revealed that negative symptoms, depression, and seeing a relative less often than once per week were predictors for the overall quality of life (adjusted R2=0.472). Negative symptoms were also found to be the main factors predicting a decrease in the four domains of quality of life – physical health, psychological, social relationships, and environment.ConclusionNegative symptoms, depression, and poor contact with relatives were the foremost predictors of poor quality of life in individuals with schizophrenia. Positive symptoms, negative symptoms, disorganized thought, anxiety/depression, SSDs, and adverse events were also found to be correlated with quality of life.
BackgroundIt is not known whether social support modifies the association between depression and impairment or disability in older people from developing countries in Asia.MethodWe used a Thai version of the EURO-D scale to measure depression in 1104 Thai rural community-dwelling parents aged ⩾60 years. These were all those providing data on depression who were recruited as part of a study of older adults with at least one living child (biological, stepchild or adopted child). Logistic regression modelling was used to determine: (a) whether impairment, disability and social support deficits were associated with depression; (b) whether social support modified this association.ResultsThere were strong graded relationships between impairment, disability, social support deficits and EURO-D caseness. Level of impairment, but not disability, interacted with poor social support in that depression was especially likely in those who had more physical impairments as well as one or more social support deficits (p value for interaction=0.018), even after full adjustment.ConclusionsSocial support is important in reducing the association between physical impairment and depression in Thai older adults, especially for those with a large number of impairments. Enhancing social support as well as improving healthcare and disability facilities should be emphasized in interventions to prevent depression in older adults.
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