Latinos with bipolar disorder (BD) have a high rate of nonadherence to psychiatric medication and treatment for other medical conditions such as cardiovascular disease (CVD) risk factors than non-Latinos with BD. The aim of this study is to identify patients' perspectives on the reasons for nonadherence to psychiatric medication and for CVD risk factors conditions in outpatients with BD. Three focus group sessions were held for a total of 22 adults ranging from 23 to 60 years old. Participants had BD, Type I/II and CVD risk factors. Audio-recordings of focus groups were transcribed and a content analysis was performed. Reasons identified as barriers to adherence were somewhat different for BD medications in comparison to CVD risk factors suggesting the need for integrated interventions targeting these barriers to adherence for both BD and CVD risk factors.
Patients with psychiatric disorders often have cognitive impairment. Several deficits have been recognized in patients with mood and/or psychotic disorders. We hypothesized that differences in the levels of deterioration exist between patients with bipolar disorder (BD), major depressive disorder (MDD), and schizoaffective disorder (SAD). The mini-mental state examination, version 2 (MMSE-2), was used with a sample of 160 psychiatric patients to measure cognitive impairment. The aims of this studyssss were as follows: (1) To characterize the differences in cognitive deterioration among patients diagnosed with BD, MDD, or SAD; (2) to explore item difficulty and cutoff points based on the educational level and other variables which are significant for our psychiatric population. Descriptive statistics were used for categorical variables. In addition, a Bonferroni post hoc test and an analysis of covariance (ANCOVA) for the continuous dependent variable were performed. Psychiatric diagnosis and years of education adjusted by several covariates proved to be significant. The 25th percentile were obtained to establish the cutoff points. Each item’s difficulty was analyzed using means and chi-square tests. Cognitive deterioration was found in 51% of the patients with SAD, in 31% with BD, and in 18% with MDD.
Nonadherence to treatment is a serious concern that affects the successful management of bipolar disorder (BD) patients. The aim of this study was to pilot test a psychosocial intervention (previously developed by this team) intended to increase adherence to medication and health behaviors targeting cardiovascular disease (CVD) risk factors in BD patients. An open, single-group design was used to assess the feasibility and acceptability of the intervention. The participants had BD, type I/II or unspecified, and CVD risk factors. Baseline demographic measures were taken. We also obtained preliminary effect sizes related to pre-post changes on measures of self-reported adherence to psychiatric medication, depressive and manic symptoms, and pharmacy records. At baseline, 29% of the participants reported recent adherence to psychiatric medications. A total of 71% of the participants completed the intervention. Pre-post improvements by medium and large effect sizes (Cohen’s d = 0.52–0.92) were seen in medication adherence, attitudes toward medication, and mania symptoms. The participants reported high levels of satisfaction with the intervention. A culturally sensitive psychosocial intervention for Puerto Rican BD patients who are at risk of CVD was found to be feasible and acceptable. Improvements in the key outcomes were seen in this small, preliminary study. Further research is needed with a larger sample size.
OBJECTIVES/GOALS: Accumulating evidence supports the involvement of immune and inflammatory pathways in Bipolar Disorder (BD) pathophysiology. This pilot study aims to determine if altered peripheral IL-2, TNF-a, IL-4, IL-6, IL-10, IFN-y, IL-17A levels are associated with BD across mood episodes (euthymic, manic, depressive), and worsen neurocognitive function. METHODS/STUDY POPULATION: Twenty-eight participants (17 cases and 11 controls) were recruited. We assessed the clinical features and cytokine plasma levels of participants. Cytokines were measured using Flow Cytometry. All subjects were interviewed by a trained psychiatrist. Each participant was fasting before the blood sample was taken. Neuropsychological tests were used to measure verbal fluency, speed processing, working memory/attention, visuospatial skills, verbal learning, executive functions, and motor skills. Descriptive statistics were used to calculate the demographic characteristics of the sample. An independent-sample Kruskal-Wallis Test and Mann-Whitney Test were carried out using SPSS version 21. RESULTS/ANTICIPATED RESULTS: Serum biomarker concentration showed a decrease in levels of IL-4 (anti-inflammatory) in BD patients vs healthy controls (p < .05). There was a major concentration of IL-6 (pro-inflammatory) on bipolar patients vs controls (p = .003). When we analyze the results with the mood episodes, we found that patients with bipolar depression showed decreased levels of IL-4 (p = .046) and increase levels of IL-6 (p = .020) in comparison to the manic or euthymic episodes. In the neurocognitive tests, we found that the control participants had better performance in the working memory domain (p = .038) and also in the general performance (p = .036) in comparison to bipolar patients. We found also a positive significant correlation between IL-4 and verbal learning in the control sample (.829, p = .003). DISCUSSION/SIGNIFICANCE: The findings evidence a significant immune activation in bipolar patients, in particular during the depressive episode. Participants with BD have a decrease in the protective levels of IL-4 combined with high levels of IL-6 when compared to healthy controls. Worse neurocognitive functioning was found in bipolar patients.
Introduction: Several studies have found that most patients with severe mental illness (SMI) and comorbid (physical) conditions are partially or wholly nonadherent to their medication regimens. Nonadherence to treatment is a serious concern, affecting the successful management of patients with SMIs. Psychiatric disorders tend to worsen and persist in nonadherent patients, worsening their overall health. The study described herein aimed to develop and validate a scale (the Ralat Adherence Scale) to measure nonadherence behaviors in a culturally sensitive way. Materials and Methods: Guided by a previous study that explored the primary reasons for nonadherence in Puerto Rican patients, we developed a pool of 147 items linked to the concept of adherence. Nine experts reviewed the meaning, content, clarity, and relevance of the individual items, and a content validity ratio was calculated for each one. Forty items remained in the scale’s first version. This version was administered to 160 patients (21–60 years old). All the participants had a diagnosis of bipolar disorder, major depressive disorder, or schizoaffective disorder. The STROBE checklist was used as the reporting guideline. Results: The scale had very good internal consistency (Cronbach’s alpha = 0.812). After a factor analysis, the scale was reduced to 24 items; the new scale had a Cronbach’s alpha of 0.900. Conclusions: This adherence scale is a self-administered instrument with very good psychometric properties; it has yielded important information about nonadherence behaviors. The scale can help health professionals and researchers to assess patient adherence or nonadherence to a medication regimen.
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