Increased risk of type 2 diabetes in antidepressant users: evidence from a 6-year longitudinal study in the E3N cohort.

AIM: To examine the association between antidepressant medication use and the risk of type 2 diabetes. METHODS: Data were obtained from the E3N study (Étude Épidémiologique de Femmes de la Mutuelle Générale de l'Éducation Nationale), a French cohort study initiated in 1990, with questionnaire-based follow-up every 2 or 3 years. Exposure to antidepressants was obtained from drug reimbursement files available from 2004 onwards, and individually matched with questionnaire data. Cases of type 2 diabetes were identified from drug reimbursements. Cox proportional-hazard regression models were used, with drug exposure considered as a time-varying parameter. RESULTS: Of the 63 999 women who were free of drug-treated type 2 diabetes at baseline in 2005, 1124 developed type 2 diabetes over the 6-year follow-up. Current use of antidepressants was associated with an increased risk of type 2 diabetes [hazard ratio 1.34 (95% CI 1.12, 1.61)] compared to non-users. When the different types of antidepressants were considered, women who currently used selective serotonin reuptake inhibitors, imipramine-type, 'other' or 'mixed' antidepressants had a 1.25-fold (95% CI 0.99, 1.57), 1.66-fold (95% CI 1.12, 2.46), 1.35-fold (95% CI 1.00, 1.84) and 1.82-fold (95% CI 0.85, 3.86) increase in risk of type 2 diabetes compared to non-users, respectively. CONCLUSION: Our study suggests a positive association between antidepressant use and the risk of type 2 diabetes among women. If this association is confirmed, screening and surveillance of glucose levels should be considered in the context of antidepressant therapy. Further studies assessing the underlying mechanisms of this association are needed. (ClinicalTrials.gov identifier: NCT03285230).

Work intensity in men and work-related emotional demands in women are associated with increased suicidality among persons attending primary care.

BACKGROUND: A large proportion of persons died by suicide are employed at the time of death and work-related factors partly contribute to suicide risk. Our aim was to examine the association between multiple aspects of work organization and suicidal ideation in a study conducted in primary care. METHODS: Data came from a study of 2027 working patients attending a GP representative of patients in the Nord Pas-de-Calais region in France (April-August 2014). Suicidality was assessed using the MINI (Mini International Neuropsychiatric Interview). Six emergent worked-related factors were explored (work intensity, emotional demands, autonomy, social relationships at work, conflict of values, insecurity of work). Several covariates were considered: patient's and GP's characteristics, and area-level data (material and social deprivation, psychiatrist and GPs' density, suicide attempts and suicide rates). RESULTS: 8.0% of participants reported suicidal ideation in the preceding month (7.5% of men and 8.6% of women, p = .03). In multivariate analyses adjusted for covariates, suicidality was significantly associated with work intensity (OR = 1.65; 95%CI [1.18-2.31]) in men and with work-related emotional demands (OR = 1.35; 95%CI [1.01-1.80]) in women. Area-level data were not associated. LIMITATIONS: Our cross-sectional study cannot assess the direction of the relationships under study. CONCLUSION: Our results emphasise a central role for GPs in suicide prevention among workers and highlight the importance of work-related factors with regard to suicidality in primary care.

Excess non-psychiatric hospitalizations among employees with mental disorders: a 10-year prospective study of the GAZEL cohort.

OBJECTIVE: To examine whether non-psychiatric hospitalizations rates were higher in those with mental disorders. METHOD: In a cohort of 15,811 employees, aged 35-50 years in 1989, mental disorder status was defined from 1989 to 2000. Hospitalizations for all-causes, myocardial infarction (MI), stroke, and cancer, were recorded yearly from 2001 to 2011. Negative binomial regression models were used to estimate hospitalization rates over the follow-up. RESULTS: After controlling for baseline sociodemographic factors, health-related behaviors, self-rated health, and self-reported medical conditions, participants with a mental disorder had significantly higher rates of all-cause hospitalization [incidence rate ratio, IRR=1.20 (95%, 1.14-1.26)], as well as hospitalization due to MI [IRR=1.44 (95%, 1.12-1.85)]. For stroke, the IRR did not reach statistical significance [IRR=1.37 (95%, 0.95-1.99)] and there was no association with cancer [IRR=1.01 (95%, 0.86-1.19)]. A similar trend was observed when mental disorders groups were considered (no mental disorder, depressive disorder, mental disorders due to psychoactive substance use, other mental disorders, mixed mental disorders, and severe mental disorder). CONCLUSION: In this prospective cohort of employees with stable employment as well as universal access to healthcare, we found participants with mental disorders to have higher rates of non-psychiatric hospitalizations.