Antidepressants and lethal violence in the Netherlands 1994-2008

Rationale There is an ongoing discussion on the relation between risk of violent behaviour and the use of antidepressants. The claim that the use of antidepressants can cause violent behaviour would gain credibility if a positive association between the two could be established. Objective The objective of this study is to evaluate the relationship between homicide, suicide and homicide-suicide rates and the rates of antidepressant use by gender and age group. Method Nationwide data from the Netherlands on antidepressant prescriptions (ADs, SSRI and venlafaxine) and lethal violence were analysed over the 15-year period from 1994 to 2008. Results The findings indicated a significant negative association between lethal violence (homicide and suicide) and prescription of antidepressants in the Netherlands, indicating that in a period in which the exposure of the Dutch population to antidepressants increased, rates of lethal violence decreased. Conclusions These data lend no support for an important role of antidepressant use in lethal violence

The metabolic syndrome and related characteristics in major depression: inpatients and outpatients compared metabolic differences across treatment settings

Objective: We aimed to systematically compare patients with major depressive disorder from three different treatment settings (a primary care outpatient, a secondary care outpatient and one inpatient sample), with regard to metabolic syndrome (MetSyn) prevalences, individual MetSyn components and related metabolic variables. Method: The outpatient samples were drawn from the ongoing Netherlands Study of Depression and Anxiety (302 primary care and 445 secondary care outpatients). The inpatient sample (n=80) was recruited from five Dutch mental health hospitals. The assessments of MetSyn and related variables [waist circumference (WC), high-density lipoprotein (HDL) and low-density lipoprotein (LDL) cholesterol, triglycerides, glucose, systolic and diastolic blood pressure (SBP, DBP), body mass index (BMI), waist-hip ratio (WHR), LDL and total cholesterol (TC)] were compared using analysis of (co)variance and regression analysis, whereas medication analyses examined the extent to which clinical differences (e.g., depression severity or medication use) mediated the observed metabolic differences across setting. Results: MetSyn prevalences (26% primary, 24% secondary care and 28% inpatients) did not significantly differ (P=.71). WC, BMI, LDL cholesterol, glucose and DBP were not significantly different across settings. However, WHR, TC and triglyceride levels were higher in inpatients than in both outpatients groups, while HDL cholesterol levels and SBP were lower. There was some mediating role for tricyclic and non-selective serotonin-reuptake inhibitor antidepressant use, but overall, the mediating role of clinical differences was limited. Conclusions: Although overall MetSyn prevalences did not differ, patterns of individual MetSyn-related variables differed more markedly across depressed inpatients and outpatients. Inpatients showed more adverse WHR and serum lipid profiles, while SBP levels were lower. © 2014 Elsevier Inc

Symptom dimensions of depression and anxiety and the metabolic syndrome

Objective: To investigate the association between depression and anxiety symptoms and the metabolic syndrome (MetSyn), using a dimensional approach. The association between depression and anxiety, on the one hand, and the MetSyn as a cluster or its individual components, on the other hand, is equivocal. The categorical nature of the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition might partly explain the inconsistent findings. Methods: In 2,433 Netherlands Study of Depression and Anxiety participants (mean age, 42.3 years; 33.1% male), three symptoms dimensions-lack of positive affect (PA, depression specific); negative affect (NA, aspecific); and somatic arousal (SA, anxiety specific)-were assessed by a shortened adaptation of the Mood and Anxiety Symptom Questionnaire. The association between symptom dimensions and MetSyn components (waist circumference, triglycerides high-density lipoprotein cholesterol, glucose, and mean blood pressure) was analyzed, using linear regression analysis. Results:: The occurrence rate of the MetSyn was 20.1% (n = 490). SA, but not PA and NA, was strongly associated with four out of five MetSyn components, especially waist circumference, triglycerides, and blood pressure (beta = 0.046, p = .01; beta = 0.077, p <.001; and beta = 0.069, p <.001, respectively), and with the total number of MetSyn components (13 = 0.098, p <.001). Conclusions: Our results demonstrate a strong association of most of the MetSyn components with the SA dimension, but not with the NA and PA scales

Overweight, Obesity, and Depression: A Systematic Review and Meta-analysis of Longitudinal Studies

Context: Association between obesity and depression has repeatedly been established. For treatment and prevention purposes, it is important to acquire more insight into their longitudinal interaction. Objective: To conduct a systematic review and meta-analysis on the longitudinal relationship between depression, overweight, and obesity and to identify possible influencing factors. Data Sources: Studies were found using PubMed, PsycINFO, and EMBASE databases and selected on several criteria. Study Selection: Studies examining the longitudinal bidirectional relation between depression and overweight (body mass index 25-29.99) or obesity (body mass index ≥30) were selected. Data Extraction: Unadjusted and adjusted odds ratios (ORs) were extracted or provided by the authors. Data Synthesis: Overall, unadjusted ORs were calculated and subgroup analyses were performed for the 15 included studies (N=58 745) to estimate the effect of possible moderators (sex, age, depression severity). Obesity at baseline increased the risk of onset of depression at follow-up (unadjusted OR, 1.55; 95% confidence interval [CI], 1.22-1.98; P<.001). This association was more pronounced among Americans than among Europeans (P=.05) and for depressive disorder than for depressive symptoms (P=.05). Overweight increased the risk of onset of depression at follow-up (unadjusted OR, 1.27; 95% CI, 1.07-1.51; P<.01). This association was statistically significant among adults (aged 20-59 years and ≥60 years) but not among younger persons (aged<20 years). Baseline depression (symptoms and disorder) was not predictive of overweight over time. However, depression increased the odds for developing obesity (OR, 1.58; 95% CI, 1.33-1.87; P<.001). Subgroup analyses did not reveal specific moderators of the association. Conclusions: This meta-analysis confirms a reciprocal link between depression and obesity. Obesity was found to increase the risk of depression, most pronounced among Americans and for clinically diagnosed depression. In addition, depression was found to be predictive of developing obesity. ©2010 American Medical Association. All rights reserved