• Original Article
  • Vol. 41 No. 10, 457–462
  • 15 October 2012

Prevalence of Metabolic Syndrome Among Patients with Schizophrenia in Singapore

Jimmy Lee, Milawaty Nurjono, Audrey Wong, Agus Salim

ABSTRACT

Introduction: Schizophrenia has been associated with an increased risk of cardio-metabolic morbidity and mortality. Metabolic syndrome (MetS), a reliable predictor of cardiovascular-related morbidity and mortality, has also been shown to be more prevalent in patients with schizophrenia. In this study, we investigated the prevalence of MetS in a sample of patients with schizophrenia in Singapore, and the potential risk factors associated with it.

Materials and Methods: One hundred patients with schizophrenia and 300 community controls were recruited. All subjects provided a fasted sample of venous blood to measure high-density lipoprotein cholesterol (HDL-C), triglycerides and glucose levels. Weight, height and waist circumference were measured. Presence of MetS was assessed according to the American Heart Association and the National Heart, Lung and Blood Institute (AHA/NHLBI) guidelines.

Results: The prevalence of MetS in patients with schizophrenia was 46.0%. The adjusted odds ratio (OR) for MetS among patients was 2.79 (CI, 1.50 to 5.20, P = 0.001) when compared with controls. Increasing body mass index (BMI) was identified to be significantly associated with the prevalence of MetS.

Conclusion: This study found a high prevalence of MetS in Singapore patients with schizophrenia, and that BMI might be a risk factor in the development of MetS. This information is clinically relevant as BMI is routinely measured in psychiatric practice today, and could be used to monitor for development of MetS in schizophrenia.

Schizophrenia has been linked to metabolic disturbances such as obesity, dyslipidaemia and hyperglycaemia. It has also been associated with a more than 3-fold increase in mortality associated with cardiovascular causes. This increase in cardio-metabolic morbidity and mortality might be due to several factors such as inherent genetic vulnerability or environmental exposures such as smoking, sedentary lifestyle, antipsychotic medication and gaps in healthcare access.

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