Prevalence and risk factors for metabolic syndrome in schizophrenia, schizoaffective, and bipolar disorder.

BACKGROUND: Metabolic Syndrome (MetS) is a risk for developing cardiovascular diseases and its prevalence is especially high in psychiatric patients. To date, there is limited data from the United Arab Emirates (UAE) on the prevalence of MetS. Therefore, we aimed to investigate its prevalence and possible risk factors in a large sample of psychiatric patients in the UAE. METHODS: A cross-sectional study was conducted at Al-Ain Hospital, in Al-Ain City, UAE. We collected demographic and clinical data on patients diagnosed with schizophrenia, schizoaffective, and bipolar affective disorder in the period between January 2017 and December 2020. This included their secondary diagnosis (psychiatric or medical), vital signs (heart rate, systolic and diastolic blood pressure, Body Mass Index [BMI]), metabolic parameters (fasting blood glucose, cholesterol, triglycerides, low-density lipoprotein, high-density lipoproteins), and prescribed medications. We used the American Association of Clinical Endocrinology (AACE) criteria to diagnose MetS. RESULTS: We included 889 subjects and of these, 79.8% (N = 709) had a BMI ≥25 kg/m2 and 9.8% (N = 87) had no abnormal metabolic parameters. Overall, 28.1% (N = 250) had MetS with no statistical difference between the three groups. Fasting blood glucose levels and abnormally elevated triglycerides were significant predictors for MetS. CONCLUSION: Our study found that around one in three patients had MetS irrespective of the three diagnoses. Some variables were significant predictors for MetS. Our findings were consistent with other studies and warrant the need for regular screening and management of abnormal metabolic parameters.

There is no statistical difference between schizophrenia, schizoaffective disorder, and bipolar disorder with regards to the prevalence of metabolic syndrome.Fasting blood glucose levels and abnormally elevated triglycerides were significant predictors of metabolic syndrome.Screening of metabolic parameters is important as well as the careful tailoring of the choice of antipsychotics.

Metabolic syndrome and its relation to antipsychotic polypharmacy in schizophrenia, schizoaffective and bipolar disorders.

The risk of metabolic syndrome (MetS) has been attributed to antipsychotic use in psychiatric patients. To date, there is limited data on the relationship between antipsychotic polypharmacy and MetS in patients with schizophrenia, schizoaffective disorder and bipolar disorder. Therefore, we aimed to investigate the rate of MetS in patients with these disorders receiving antipsychotic monotherapy and polypharmacy. We conducted a cross-sectional study on patients seen between January 2017 and December 2020, collecting data on the class, type, route of administration and number of antipsychotics received. We used the American Association of Clinical Endocrinology criteria to diagnose MetS. We included 833 subjects of whom 573 (68.8%) received antipsychotic monotherapy and 260 (31.2%) received polypharmacy. Overall, 28.6% ( N  = 238) had MetS with no statistical difference between the two groups. Diastolic blood pressure and receiving olanzapine were significant predictors for developing MetS. In conclusion, our study found no significant difference in the rate of MetS between antipsychotic monotherapy and polypharmacy. A number of variables were significant predictors for MetS. Our findings were consistent with other studies and warrant the need for careful choice of antipsychotics and regular screening and management of abnormal metabolic parameters.

Cross-cultural differences through subjective cognition: illustration in translatology with the SSTIC-E in the UAE.

The development of appropriate and valid multicultural and multilingual instruments research is necessary due to a growing multicultural and multilingual society in the 21st century. We explored the use of a cognitive scale related to subjective complaints, focusing on the first step: a cross-cultural and semantic validation. This study presents the translation and cross-validation process of the "Subjective Scale to Investigate Cognition in Schizophrenia" (SSTICS) for the United Arab Emirates (UAE) region via different languages used in Dubaï/Abu Dhabi. This scale measures cognitive complaints and has been validated with psychosis and used in 20 clinical trials worldwide. It evaluates areas of the illness related to self-awareness focusing on memory dysfunction and deficits of attention, language, and praxis. We described the method of cross-cultural validation, with back-translation, semantic steps, and societal contexts. The use of the Subjective Scale to Investigate Cognition in Emirates (SSTIC-E) was explored with different samples of UAE Arabic-speaking subjects. First, a pilot sample mean SSTICS total score was 16.5 (SD:16.9); (p < 0.001). The SSTIC-E was then administered to 126 patients and 84 healthy control participants. The healthy group has a lower mean score of 22.55 (SD = 12.04) vs. 34.06 (SD = 15.19). The method was extended to nine other languages, namely, Pakistani/Urdu, Hindi, Marathi, Lithuanian, Serbian, German, Romanian, Sinhala, and Russian. The scales are provided in the article. The overall aim of the translation process should be to stay close to the original version of the instrument so that it is meaningful and easily understood by the target language population. However, for construct validity, some items must be adapted at the time of translation to ensure that the questioned cognitive domain is respected. For example, cooking, an executive function, does not have the same occurrence for an Emirati male, or remembering a prime minister's name, semantic memory, requires an electoral system to appoint the leader of a country. Translation methods and processes present many challenges but applying relevant and creative strategies to reduce errors is essential to achieve semantic validation. This study aims to measure personally experienced knowledge or attitudes; such language effects can be a thorny problem.

Screening of social phobia symptoms in a sample of Egyptian university students

Abstract Background Public speaking is a main requisite for academic achievement amongst university students. Epidemiological data on social phobia among University students in the Arab World are scarce. Objectives To screen for social phobia symptoms in a representative sample of Egyptian university students, and to highlight some putative risk factors associated with them. Methods Two thousand nine hundred and nineteen Egyptian university students participated in the study. They were screened for social phobia using Brief Social Phobia Scale (BSPS). Students total and subdomain scores on the BSPS were correlated with their demographic and scholastic variables. Results Social phobia symptoms were estimated to be prevalent among (44%) of the study sample. A significant (p < 0.05) negative correlation was found between students' age and avoidance scores on BSPS and between students' educational year and their scores on fear, avoidance and physiologic subdomains on the BSPS. Regression analysis pointed out to a number of predictive factors for the higher total BSPS scores such as female gender and being a medical student. Discussion Our study demonstrated a high rate of social phobia symptoms in university students. It also demonstrated a number of significant predictive factors associated with the domains of social phobia such as gender, BMI, scholastic year and faculty type.