Metabolic abnormalities among people diagnosed with schizophrenia: a literature review and implications for mental health nurses.

Metabolic abnormalities such as diabetes, obesity and dyslipidaemia are found in much higher rates in people with a diagnosis of schizophrenia when compared with the general population. This review discusses the most prevalent metabolic abnormalities associated with schizophrenia, their frequency and implications for mental health nurses (MHN). This review illuminates the need for MHN to acquire added awareness, knowledge and practical strategies in managing people at high risk of developing metabolic abnormalities associated with MetS. By doing this, it contributes to the literature by highlighting practical strategies for MHN in assessment and ongoing monitoring of metabolic abnormalities in clinical practice. This review highlights the need for MHN to be vigilant in monitoring a person's physical state on commencement and throughout treatment with antipsychotics. There is a need for an early detection monitoring system for people who are potentially at risk of developing metabolic abnormalities. The literature review aimed to investigate metabolic abnormalities associated with metabolic syndrome (MetS) in people diagnosed with schizophrenia; they are almost twice as likely to have metabolic risk factors and die approximately 20 years younger than the general population. MetS has become an issue of growing concern in mental health nursing. A comprehensive literature review was conducted utilizing various databases to address the reviews aim. Databases such as CINAHL Plus with full text (via EBSCO), MEDLINE(R) (OVID), PsycINFO and the COCHRANE library were accessed. The main metabolic abnormalities that emerged were: diabetes, obesity and dyslipidaemia. Antipsychotic medication also plays a vital role in a person's susceptibility to the development of MetS. It is critical that MHN has access to training and education in managing people at high risk of developing metabolic abnormalities associated with MetS. This review contributes to the literature by highlighting practical strategies for MHN in assessment and ongoing monitoring of metabolic abnormalities in clinical practice.