A cross-sectional study on metabolic similarities and differences between inpatients with schizophrenia and those with mood disorders

Metabolic syndrome in patients with schizophrenia: Why should we care

Metabolic syndrome (MS) is a serious disease in patients with schizophrenia; it is necessary to evaluate the characteristics and influencing factors of MS to provide reliable evidence for the management of schizophrenia. Patients with schizophrenia treated in our hospital from January 1, 2018, to March 31, 2021, were selected. The characteristics and treatment details of MS and no-MS patients were evaluated. Pearson correlation analyses were applied for analyzing MS and related characteristics. Logistic regression analyses were conducted to evaluate the risk factors of MS in patients with schizophrenia. A total of 465 patients with schizophrenia were included, the incidence of MS in patients with schizophrenia was 18.06%. Pearson correlation analyses had found that age (r = 0.621), waist circumference (r = 0.744), body mass index (r = 0.691), diabetes (r = 0.598), course of disease (r = 0.504), triglyceride (r = 0.532), high-density lipoprotein cholesterol (r = -0.518), low-density lipoprotein cholesterol (r = 0.447), and total cholesterol (r = 0.523) were correlated with MS (all P < .05). Logistic regression analyses showed that age ≥55 years (odds ratio [OR]: 2.012, 95% confidence interval [CI]: 1.425-3.196), waist circumference ≥80 cm (OR: 1.944, 95% CI: 1.081-3.172), body mass index ≥24.5 kg/m2 (OR: 2.451, 95% CI: 1.825-3.108), diabetes (OR: 2.301, 95% CI: 1.944-2.881), course of disease ≥15 years (OR: 1.804, 95% CI: 1.236-2.845), triglyceride ≥1.5 mmol/L (OR: 2.032, 95% CI: 1.614-3.079), high-density lipoprotein cholesterol ≤0.8 mmol/L (OR: 1.226, 95% CI: 1.102-1.845), low-density lipoprotein cholesterol ≥2 mmol/L (OR: 1.759, 95% CI: 1.236-1.987), and total cholesterol ≥4.5 mmol/L (OR: 1.664, 95% CI: 1.422-1.852) were the risk factors of MS in patients with schizophrenia (all P < .05). MS is very common in patients with schizophrenia, which may be associated with many possible risk factors, and early interventions and nursing care targeted at those influencing factors are needed to improve the prognosis of schizophrenia.

The Complex Interplay Between Physical Activity and Recovery Styles in Patients With Severe Mental Disorders in a Real-World Multicentric Study

Compared with the general population, people with severe mental disorders have significantly worse physical health and a higher mortality rate, which is partially due to the adoption of unhealthy lifestyle behaviors, such as heavy smoking, use of alcohol or illicit drugs, unbalanced diet, and physical inactivity. These unhealthy behaviors may also play a significant role in the personal and functional recovery of patients with severe mental disorders, although this relationship has been rarely investigated in methodologically robust studies. In this paper, we aim to: a) describe the levels of physical activity and recovery style in a sample of patients with severe mental disorders; b) identify the clinical, social, and illness-related factors that predict the likelihood of patients performing physical activity. The global sample consists of 401 patients, with a main psychiatric diagnosis of bipolar disorder (43.4%, N = 174), psychosis spectrum disorder (29.7%; N = 119), or major depression (26.9%; N = 118). 29.4% (N = 119) of patients reported performing physical activity regularly, most frequently walking (52.1%, N = 62), going to the gym (21.8%, N = 26), and running (10.9%, N = 13). Only 15 patients (3.7%) performed at least 75 min of vigorous physical activity per week. 46.8% of patients adopted sealing over as a recovery style and 37.9% used a mixed style toward integration. Recovery style is influenced by gender (p < 0.05) and age (p < 0.05). The probability to practice regular physical activity is higher in patients with metabolic syndrome (Odds Ratio - OR: 2.1; Confidence Interval - CI 95%: 1.2-3.5; p < 0.050), and significantly lower in those with higher levels of anxiety/depressive symptoms (OR: 0.877; CI 95%: 0.771-0.998; p < 0.01). Globally, patients with severe mental disorders report low levels of physical activities, which are associated with poor recovery styles. Psychoeducational interventions aimed at increasing patients' motivation to adopt healthy lifestyle behaviors and modifying recovery styles may improve the physical health of people with severe mental disorders thus reducing the mortality rates.

Mortality gap and physical comorbidity of people with severe mental disorders: the public health scandal

BACKGROUND

Patients suffering from severe mental disorders, including schizophrenia, major depression and bipolar disorders, have a reduced life expectancy compared to the general population of up to 10-25 years. This mortality gap requires urgent actions from a public health perspective in order to be reduced.

MAIN TEXT

Factors associated with the high mortality rates in patients with severe mental disorders can be grouped into four groups: those related to the patients, to psychiatrists, to other non-psychiatrist medical doctors and to the healthcare system. Each of these factors should become the target of specific and dedicated interventions, in order to reduce the morbidity and mortality rate in patients with severe mental disorders. All these elements contribute to the neglect of physical comorbidity in patients with severe mental. In particular, the long-standing separation of psychiatry from other branches of medicine and the lack of specific training on this issue further contribute to the poor attention dedicated to management of physical comorbidities. Recently, several professional associations have invited national bodies regulating education of healthcare professionals to include the management of physical health of people with severe mental disorders in undergraduate and postgraduate educational programs.

CONCLUSIONS

The premature mortality in patients with severe mental disorders is a complex phenomenon resulting by the interaction of several protective and risk factors. Therefore, a multilevel approach is needed, in which the different stakeholders involved in health care provision establish workforces for the long-term management of physical and mental health conditions.