Alotaibi, Hani Matrok
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THE PREVALENCE OF SLEEP DISORDERS AMONG SUBSTANCE ABUSERS ADMITTED TO DRUG DE-ADDICTION UNIT AT ERADAH AND MENTAL HEALTH COMPLEX, TAIF, SAUDI ARABIA Siddiqui, Javed Ather; Eldaous, Ali Mahmoud; Qureshi, Shazia Farheen; Alotaibi, Hani Matrok; Hamdan, Sameh; Almahqori, Ali Ahmed
Journal of Psychiatry Psychology and Behavioral Research Vol. 6 No. 1 (2025): Mental Health Portrait and Intervention to Build a Safe and Strong Environment
Publisher : Departemen Psikiatri Fakultas Kedokteran Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jppbr.2025.006.01.2

Abstract

Introduction – Public health is affected by substance abuse, which is associated with high mortality and morbidity rates. A person who suffers from substance use disorder is more likely to suffer from insomnia. The health and social well-being of individuals and communities are adversely affected by these substances. Therefore, in recent years, research has become increasingly interested in the connection between substance abuse and sleep. The main objectives of this study are to evaluate the prevalence of sleep disorders; to investigate any relationship between sleep disorder and impact of sleep on daily functioning; to evaluate the socio-demographic profile; to find out the sleep disturbances caused by specific substances of abuse and to elucidate the relationship of sleep disturbances and substance use. Methods – Substance abusers with sleep disorders admitted to the hospital who met the inclusion and exclusion criteria were included in this study. The data was collected using sociodemographic information and a sleep 50 scale to interview subjects who are active substance abusers. The data was analyzed using SPSS software. Results – A high prevalence of sleep disorder was found in male group of patients. Among the 653 substance users, 643 (98.47%) were male and 10 (1.53%) were female. According to the survey, 284 (43.50%) of the participants reported abusing substances during their 25 to 30 years of age, following by 215 (32.92%) during their 18 to 24 years of age. In this study, various sleep disorders among drug addicts were systematically evaluated. Discuss – The prevalence of various sleep disorders in this population along with the prevalence in general population in parenthesis. These are as follows, sleep disorder was noted in 475 (72.74%) of the subjects, and 178 (27.26%) had without sleep disorder in Substance Abusers. Insomnia symptoms were highly prevalent 351(73.89%), followed by restless leg were reported in 157 (33.05%) of the subjects and lowest in circadian rhythm disorder 8 (1.68%). Conclusion – The incidence of substance abuse has grown dramatically over the last few decades and is affecting every aspect of society. Due to their wide availability, amphetamine and cannabis abusers were the most prevalent in our study, and sleep disorders, including insomnia, were the most prevalent.
PREVALENCE OF METABOLIC SYNDROME AMONG PATIENTS WITH SCHIZOPHRENIA FROM LONG CARE UNIT IN FORENSIC PSYCHIATRY PROGRAM: AN OBSERVATIONAL STUDY Siddiqui, Javed Ather; Qureshi, Shazia Farheen; Alotaibi, Hani Matrok; Alkhammash, Waleed Mohsen
Journal of Psychiatry Psychology and Behavioral Research Vol. 5 No. 1 (2024): Transforming Different Modalities to Achieve Better Mental Health
Publisher : Departemen Psikiatri Fakultas Kedokteran Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jppbr.2024.005.01.1

Abstract

Introduction – Metabolic syndrome is a leading health concern among schizophrenia patients treated with antipsychotics. The morbidity and mortality rates of these patients can increase when they already have cardiovascular disease and other risk factors. This study aimed to examine the prevalence of metabolic syndrome and its relationship to various clinical parameters such as blood pressure, fasting blood glucose, triglycerides, high-density lipoprotein, and waist circumference. Methods – This disease-oriented observational study was carried out in the forensic psychiatric rehabilitation ward at the Erada & Mental Health Complex - Taif, Saudi Arabia. Patients admitted to the inpatient ward between 2018 and 2023 participated in the study (N = 71). The relationship between metabolic syndrome and psychotropic medications was also examined. Schizophrenia was defined by the Diagnostic and Statistical Manual of Mental Disorders (DSM-5-TR) criteria. Metabolic syndrome was assessed based on the international criteria National Cholesterol Education Program’s Adult Treatment Panel III report (ATPIII) criteria and AHA/NHLB. Results – In this study, 71 volunteer schizophrenic patients were included, and an observational study over five years was conducted. We found the total number of metabolic syndrome patients was 40 (56.34%) compared with 31 (43.66%) patients without metabolic syndrome. The majority of metabolic syndrome patients (57.50%) were aged 41 to 50. The highest number of patients suffering from metabolic syndrome are those taking atypical antipsychotic medications. Among antipsychotic medications, aripiprazole was found the maximum number of 10 (25%) followed by olanzapine 7 (17.5%). Maximum number of metabolic syndrome parameters increased fasting blood sugar 26 (65%) followed by increased body mass index 21 (52.5%). Discuss – This research can contribute to the study of the prevalence of metabolic syndrome among patients with schizophrenia. In the present study, the prevalence of metabolic syndrome was 56.34 percent in schizophrenia. There are several metabolic side effects associated with second-generation antipsychotics and if these aren't treated properly, they can lead to serious health complications, such as diabetes, dyslipidemia, and fatal heart disease. Conclusion - In our study, metabolic syndrome was most prevalent among patients between 41 - 50 years of age. Therefore, clinicians are encouraged to screen and monitor metabolic syndrome and treat cardio-metabolic risk factors for optimum long-term management.  Keywords: schizophrenia, metabolic syndrome, antipsychotics.