Sociodemographic characteristics and cardiovascular risk factors in patients with severe mental disorders compared with the general population.

OBJECTIVE: To study the prevalence and distribution of cardiovascular risk factors in a group of patients with severe mental disorders compared with the general population and investigate if differences in sociodemographic background variables between groups were associated with differences in risk profile. METHOD: We compared data from the ongoing Ulleval 600 Study (205 pharmacologically stable outpatients with DSM-IV psychotic disorders) with data from the 2000-2001 Oslo Health Study (18,770 individuals from the general population of the same area). Subjects were stratified according to age and gender and compared for ethnic background, level of education, marital status, and prevalence of risk factors. RESULTS: Patients had an overall prevalence of smoking, obesity, hypertension, dyslipidemia, and diabetes mellitus about twice that of the reference group. Patients aged 18 through 50 years had the highest level of risk factors when compared with the general population. There was no major difference in ethnic background or educational level between cohorts. CONCLUSION: The increased cardiovascular risk profile in patients is particularly pronounced in young individuals and could not be explained by sociodemographic variables alone.

Cannabis use and premorbid functioning as predictors of poorer neurocognition in schizophrenia spectrum disorder.

BACKGROUND: Evidence of associations between neurocognitive function and cannabis use in schizophrenia is inconclusive. However, direct measures of cannabis intake and premorbid function are rarely explored in this context. We investigated the relation between cannabis use, determined by its presence in urine, and neurocognitive functioning in schizophrenia controlling for the potential bias of premorbid functioning. METHODS: Naturalistic study of 364 patients with schizophrenia spectrum disorder from catchment areas in Oslo, Norway. Hierarchical multiple regression analyses were used to assess the relationship between cannabis in urine and measures of neurocognitive functioning, with adjustment for confounders, including premorbid functioning. RESULTS: Cannabis was detected in the urine of 21 patients, who had significant dysfunction in several neurocognitive domains independent of a current diagnosis of cannabis abuse. However, level of premorbid functioning explained the associations for all measures. CONCLUSION: Differences in premorbid functioning may explain apparent differences in neurocognitive function between schizophrenia spectrum patients using cannabis or not. The findings suggest that illness-related traits present early in life can affect both later cannabis use and neurocognition, probably by complex mechanisms.

The level of cardiovascular risk factors in bipolar disorder equals that of schizophrenia: a comparative study.

OBJECTIVE: In schizophrenia, increased rates of somatic mortality have been shown to correspond with a high prevalence of cardiovascular risk factors, including smoking and the metabolic syndrome. In bipolar disorder, the amount of cardiovascular risk is still largely unknown. This study compares the prevalence of smoking and metabolic disturbances in bipolar disorder and schizophrenia in a representative sample of patients under naturalistic conditions. It also compares the prevalence of risk factors in each diagnostic group with the general population. METHOD: Longitudinal data on clinical groups from October 2002 through December 2005 were from the Oslo TOP Study (DSM-IV bipolar disorder [N = 110] and schizophrenia [N = 163]). Reference data were from the 2000 to 2001 Oslo Health Study (18,770 individuals of the same area). Background variables, prevalence of smoking, and age-adjusted levels of metabolic risk factors were compared between diagnostic groups. Risk factors in both groups were then compared with the general population. RESULTS: Patients with bipolar disorder had higher levels of education, better social functioning, fewer psychiatric symptoms, and less use of medication than patients with schizophrenia. There was no significant difference between diagnostic groups in the prevalence of smoking, obesity, metabolic syndrome, or diabetes. The mean level of high density lipoprotein cholesterol was lower in schizophrenia (p < .001), and systolic blood pressure was higher in bipolar disorder (p < .05). Both diagnostic groups had a prevalence of cardiovascular risk factors about twice that of the general population. CONCLUSION: The prevalence of cardiovascular risk factors was alarmingly high for bipolar disorder and schizophrenia patients compared with the general population, and the prevalence was approximately the same in both diagnostic groups.