Fahad D Alosaimi1, Mohammed Abalhassan2, Bandar Alhaddad3, Nasser Alzain4, Ebtihaj Fallata5, Abdulhadi Alhabbad6, Mohammed Z Alassiry7. 1. Department of Psychiatry, King Saud University, Riyadh, Saudi Arabia. Electronic address: dr.fahad.alosaimi@gmail.com. 2. Department of Medicine, Prince Sattam Bin Abdulaziz University, Alkharj, Saudi Arabia. Electronic address: dr.mfma@hotmail.com. 3. King Fahad National Guard Hospital, Riyadh, Saudi Arabia. Electronic address: banderali256@hotmail.com. 4. Al-Amal Complex for Mental Health, Dammam, Saudi Arabia. Electronic address: dr.nalzain@gmail.com. 5. Mental Health Hospital, Jeddah, Saudi Arabia. Electronic address: ebtilolo2002@hotmail.com. 6. Prince Mohammed Medical City, Aljouf, Saudi Arabia. Electronic address: alhabbad@hotmail.com. 7. Mental Health Hospital, Abha, Saudi Arabia. Electronic address: alassiry20063@gmail.com.
Abstract
OBJECTIVES: To evaluate the prevalence and clinical correlates of metabolic syndrome (MetS) and its components among patients with psychiatric disorders. METHODS: A cross-sectional study was conducted among adult patients with psychiatric disorders at major hospitals in Saudi Arabia. After measurements were recorded for all MetS components, demographic and clinical information was obtained mainly by reviewing the patients' medical charts. RESULTS: The prevalence rate of MetS among the 992 study participants was 41.2%, high triglycerides was 32.8%, large waist circumference was 42.2%, high blood pressure was 42.5%, high fasting blood sugar was 47.8%, and low HDL cholesterol was 52.5%. Participants with MetS were more likely to be older, illiterate, divorced or widowed, have a higher number of children, older age of onset of psychiatric illness, longer duration of psychiatric disease, no previous psychiatric hospitalization, and have a history of diabetes and hypertension. After adjusting for significant demographic and clinical characteristics, none of the psychiatric diagnoses and treatments was independently associated with MetS, except the use of mirtazapine and venlafaxine. CONCLUSIONS: The prevalence of MetS and its components among patients with psychiatric disorders is alarming irrespective of their diagnoses. Thus, metabolic screening especially among high risk groups is critical.
OBJECTIVES: To evaluate the prevalence and clinical correlates of metabolic syndrome (MetS) and its components among patients with psychiatric disorders. METHODS: A cross-sectional study was conducted among adult patients with psychiatric disorders at major hospitals in Saudi Arabia. After measurements were recorded for all MetS components, demographic and clinical information was obtained mainly by reviewing the patients' medical charts. RESULTS: The prevalence rate of MetS among the 992 study participants was 41.2%, high triglycerides was 32.8%, large waist circumference was 42.2%, high blood pressure was 42.5%, high fasting blood sugar was 47.8%, and low HDL cholesterol was 52.5%. Participants with MetS were more likely to be older, illiterate, divorced or widowed, have a higher number of children, older age of onset of psychiatric illness, longer duration of psychiatric disease, no previous psychiatric hospitalization, and have a history of diabetes and hypertension. After adjusting for significant demographic and clinical characteristics, none of the psychiatric diagnoses and treatments was independently associated with MetS, except the use of mirtazapine and venlafaxine. CONCLUSIONS: The prevalence of MetS and its components among patients with psychiatric disorders is alarming irrespective of their diagnoses. Thus, metabolic screening especially among high risk groups is critical.
Authors: David Collins Agaba; Richard Migisha; Rosemary Namayanja; Godfrey Katamba; Henry Mark Lugobe; Hillary Aheisibwe; Godfrey Twesigomwe; Scholastic Ashaba Journal: Biomed Res Int Date: 2019-11-11 Impact factor: 3.411
Authors: Asma Alanazi; Saud Alsadhan; Sultan Aldosari; Abdullah Alharbi; Mohammed Albawardi; Saud Alrabah; Haifa Alhawas; Maram Albalawi Journal: Biomed Res Int Date: 2022-07-18 Impact factor: 3.246
Authors: Ju Eun Lee; David Walton; Colleen P O'Connor; Michael Wammes; Jeremy P Burton; Elizabeth A Osuch Journal: Int J Mol Sci Date: 2022-06-14 Impact factor: 6.208
Authors: Dandara Almeida Reis da Silva; Ludmila Santana de Almeida; Livia Lugarinho Correa; Rodrigo Fernandes Weyll Pimentel; Antonio Marcos Tosoli Gomes; Ana Gabriela Travassos; Adriana Mattos Viana; Monique Magnavita Borba da Fonseca Cerqueira; Marcio Costa de Souza; Anderson Reis de Sousa; Paulo José Bastos Barbosa; Julita Maria Freitas Coelho; Lucelia Batista Neves Cunha Magalhães; Argemiro D'Oliveira Júnior; Jorge Lopes Cavalcante Neto; Charles Souza Santos; Luiz Carlos Moraes França; Juliana de Lima Brandão; Livia Fajin de Mello Dos Santos; Helena Ferraz Gomes; Ellen Marcia Peres; Thais Regis Aranha Rossi; Kairo Silvestre Meneses Damasceno; Millena Conceição das Mercês; Sandra Lúcia Fernandes; Eline de Almeida Soriano; Isolda Prado de Negreiros Nogueira Maduro; Tatiana Santos Brandão; Amanda Cardoso Menezes; Amália Ivine Costa Santana; Magno Conceição das Merces Journal: Int J Environ Res Public Health Date: 2022-08-17 Impact factor: 4.614
Authors: Fahad D Alosaimi; Mohammad F Abalhasan; Abdulhadi A Alhabbad; Ebtihaj O Fallata; Bandar A Haddad; Nada I AlQattan; Mohammed Z Alassiry Journal: Saudi Med J Date: 2018-04 Impact factor: 1.484
Authors: Samer Hammoudeh; Hawra Al Lawati; Suhaila Ghuloum; Huma Iram; Arij Yehya; Imen Becetti; Nora Al-Fakhri; Hany Ghabrash; Mena Shehata; Nighat Ajmal; Iman Amro; Hira Safdar; Yassin Eltorki; Hassen Al-Amin Journal: Community Ment Health J Date: 2019-12-28