Arnoldaagesen2000

Good quality of sleep was observed in females, people above 40 years and those who don't have any chronic disease, though this association of sleep quality with the factors was not significant. Going to bed early (before 1030 pm) had a positive effect on sleep quality (

<0.026). In general, poor sleep quality was seen among medical consultants.

Good quality of sleep was observed in females, people above 40 years and those who don't have any chronic disease, though this association of sleep quality with the factors was not significant. Going to bed early (before 1030 pm) had a positive effect on sleep quality (p less then 0.026). In general, poor sleep quality was seen among medical consultants.

This cross-sectional study aimed to evaluate the prevalence and factors associated with residual symptoms (both depressive and manic) in subjects with bipolar disorder (BD).

A total of 844 subjects diagnosed BD with an illness of 2 years' duration and minimum of two lifetime episodes and in clinical remission were evaluated for residual symptoms using Hamilton Depression Rating Scale (HAM-D) and Young Mania Rating Scale (YMRS). Based on the severity of residual symptoms, the study groups were divided into four groups.

Sixty-nine percent of the subjects had residual depressive symptoms (i.e., HAM-D score in the range of 1-7) and 59% had residual manic symptoms (i.e., YMRS score in the range of 1-7). The most common residual depressive symptom was psychic anxiety (34%) followed by impaired insight (29%). The most common manic symptom was poor insight (31%) followed by sleep disturbances (25%). Subjects with both sets of residual symptoms had onset of BD at a relatively young age, when compared to those with only residual depressive symptoms. Presence of any comorbid physical illness and substance abuse disorder was significantly higher in those with both sets of residual symptoms.

The present study suggests that a substantial proportion of patients with BD have residual symptoms of both types. Comorbid physical illness and substance use were associated with residual symptoms. Identification and management of residual symptoms are highly essential to improve the overall outcome of patients with BD.

The present study suggests that a substantial proportion of patients with BD have residual symptoms of both types. Comorbid physical illness and substance use were associated with residual symptoms. Identification and management of residual symptoms are highly essential to improve the overall outcome of patients with BD.

Bipolar disorder is a disabling psychiatric disorder. The existing literature suggests about 41% of patients to be nonadherent. Nonadherence leads to relapses, delay in recovery besides higher inpatient care cost as well as higher global cost of the disease. Nonadherence in bipolar affective disorder (BPAD) is a complex phenomenon, its critical determinants are yet to be identified with certainty.

This study aims to assess the prevalence of nonadherence in BPAD and to delineate the factors associated with it.

Medical records were reviewed in this study from 2005 to 2019 at a medical college in Kerala. Patients who were diagnosed with BPAD according to International Classification of Diseases 10 and who were needing or opting for prophylaxis were included. Patients who were not taking medications for at least 1 week were termed as nonadherent. We included 150 participants in our study.

To test the statistical significance of the association of categorical variables between H/O of adherence and nonadherence, Chi-square test was used. In the sample, 82.7% had at least 1 week of history of noncompliance in the past. The most common reason was poor understanding of illness by the family (56%) followed by a negative aspect of the patient toward the drug (20%).

Therefore, this study concludes that though majority of the patients have a history of nonadherence of at least 1 week on long-term follow-up, it was seen that majority of the patients were more than 80% adherent to medications.

Therefore, this study concludes that though majority of the patients have a history of nonadherence of at least 1 week on long-term follow-up, it was seen that majority of the patients were more than 80% adherent to medications.

Impaired life skills, family dysfunction, negative thinking and low life satisfaction may predispose to suicidal behavior. There is paucity of study that examined these variables in suicide attempt.

This study was conducted to know the levels and the relationships of these variables in attempted suicide.

Hospital-based cross-sectional.

In this hospital-based cross-sectional study, 328 participants with a history of attempted suicide were assessed using socio-demographic and clinical pro forma, life skills profile (LSP), perseverative thinking questionnaire (PTQ), satisfaction with life scale (SLS), and family assessment device (FAD) after obtaining informed consent.

Descriptive statistics, Mann-Whitney U and Kruskal-Wallis-H test and regression analysis.

Results revealed a mean scores on PTQ, LSP, SLS, and FAD to be 29.93 (standard deviation [SD] =13.5), 21.32 (SD = 13.5), 15.71 (SD = 6.8), and 26.46 (SD = 4.57), respectively. In linear regression analysis (



= 0.815, df = 3,

= 475.715,

=ion.

Interview-based schizophrenia (SCZ) diagnostic methods are not completely valid. Selleckchem Gefitinib Moreover, SCZ-the disease entity is very heterogeneous. Supervised-Machine-Learning (sML) application of Artificial-Intelligence holds a tremendous promise in solving these issues.

To sML-based discriminating validity of resting-state electroencephalographic (EEG) quantitative features in classifying SCZ from healthy and, positive (PS) and negative symptom (NS) subgroups, using a high-density recording.

Data collected at a tertiary care mental-health institute using a cross-sectional study design and analyzed at a premier Engineering Institute.

Data of 38-SCZ patients and 20-healthy controls were retrieved. The positive-negative subgroup classification was done using Positive and Negative Syndrome Scale operational-criteria. EEG was recorded using 256-channel high-density equipment. Eight

regions-of-interest were selected. Six-level wavelet decomposition and Kernel-Support Vector Machine (SVM) method were used for feature extraction and data classification.