Does substance use explain social differences in terms of depression? Findings from the Constances cohort.

BACKGROUND: The role of alcohol, tobacco and cannabis use in social differences in terms of depression is poorly understood. METHOD: We have applied mediation and moderated-mediation models stratified by gender to a population-based sample (N = 37,192) of French men and women from the Constances cohort with baseline and follow-up measures of depressive states. We have examined whether socioeconomic status (SES, measured by education and income) differences in the prevalence of depressive states may be explained by both differences in prevalence of substance use according to SES (mediating effects) and differential effects of substance use on depressive state according to SES (moderating effects). RESULTS: In the mediation models, substance use only explained 5.3% and 2.4% of the association between low education and depressive state in men and women respectively, and was not a significant mediator for income. Moderated mediation models showed robust moderation effects of education and income in both men and women. The association of tobacco use with depressive symptoms, which was the only substance for which a mediation effect remained and for which the moderation effect of SES was the strongest, was significantly higher in participants with low SES. LIMITATIONS: The partially cross-sectional nature of the data restricts the possibility of drawing causality with regards to associations between SES and substance use. CONCLUSION: Targeting substance use, particularly tobacco, can especially reduce depression risk in individuals of low SES.

Cross-sectional analysis of deprivation and ideal cardiovascular health in the Paris Prospective Study 3.

AIMS: We hypothesised that deprivation might represent a barrier to attain an ideal cardiovascular health (CVH) as defined by the American Heart Association (AHA). METHODS AND RESULTS: The baseline data of 8916 participants of the Paris Prospective Study 3, an observational cohort on novel markers for future cardiovascular disease, were used. The AHA 7-item tool includes four health behaviours (smoking, body weight, physical activity and optimal diet) and three biological measures (blood cholesterol, blood glucose and blood pressure). A validated 11-item score of individual material and psychosocial deprivation, the Evaluation de la Précarité et des Inégalités dans les Centres d'Examens de Santé-Evaluation of Deprivation and Inequalities in Health Examination centres (EPICES) score was used. The mean age was 59.5 years (standard deviation 6.2), 61.2% were men and 9.98% had an ideal CVH. In sex-specific multivariable polytomous logistic regression, the odds ratio (OR) for ideal behavioural CVH progressively decreased with quartile of increasing deprivation, from 0.54 (95% CI 0.41 to 0.72) to 0.49 (0.37 to 0.65) in women and from 0.61 (0.50 to 0.76) to 0.57 (0.46 to 0.71) in men. Associations with ideal biological CVH were confined to the most deprived women (OR=0.60; 95% CI 0.37 to 0.99), whereas in men, greater deprivation was related to higher OR of intermediate biological CVH (OR=1.28; 95% CI 1.05 to 1.57 for the third quartile vs the first quartile). CONCLUSIONS: Higher material and psychosocial deprivation may represent a barrier to reach an ideal CVH. TRIAL REGISTRATION NUMBER: NCT00741728.

Association between depression and anemia in otherwise healthy adults.

OBJECTIVE: It remains debated whether anemia is associated with depression, independently of physical health factors. We report a large-scale cross-sectional study examining this association in adults free of chronic disease and medication from the general population. METHOD: Hemoglobin levels were measured among 44 173 healthy participants [63% men; mean [standard deviation] age = 38.4 (11.1) years] from the 'Investigations Préventives et Cliniques' (IPC) cohort study. Depression was measured with the Questionnaire of Depression 2nd version, Abridged. Logistic regression analyses were performed to examine the association between anemia and depression, while adjusting for a wide range of sociodemographic characteristics and health-related factors (i.e., sex, age, living status, education level, occupational status, alcohol intake, smoking status, physical activity, and body mass index). RESULTS: Depressed participants were significantly more likely to have anemia compared to non-depressed participants, even after adjustment for sociodemographic and health-related variables [odds ratio = 1.36; 95% confidence interval = (1.18; 1.57)]. Anemia prevalence increased with depression severity, suggesting a dose-response relationship (P for trend <0.001). CONCLUSION: In healthy adults from the general population, we found a significant and robust association between depression and anemia. Further studies are needed to assess the longitudinal relationship between both conditions and determine the mechanisms underlying this association.

Association between current perceived stress and incident diabetes is dependent on occupational status: Evidence from the IPC cohort study.

AIM: The role of stress in the onset of type 2 diabetes is a widespread lay belief, yet observational studies have produced inconsistent results. This study aimed to test the hypothesis that the association between perceived stress and incident diabetes might depend on occupational status (OS). METHODS: The four-item Perceived Stress Scale (PSS-4) was completed at baseline by 22,567 participants in the labour force (16,193 men, 6374 women; mean age: 44.5±9.8 years) who had undergone two health checkups subsidized by the French national healthcare system. All subjects were free from diabetes at baseline, defined as a fasting blood glycaemia≥7mmol/L or the use of antidiabetic drugs. RESULTS: After a mean follow-up of 5.3±2.1 years, 527 participants (2.3%) had incident diabetes. After adjusting for sociodemographic, behavioural and biomedical risk factors as well as self-rated health, the association between baseline perceived stress and diabetes at follow-up was non-significant for the total study population. However, perceived stress was significantly associated with incident diabetes in participants of low OS [odds ratio (OR) for a five-point increment: 1.39; 95% confidence interval (CI): 1.02-1.90]. In contrast, there was a negative association between perceived stress and diabetes among those of high OS (OR: 0.60; 95% CI: 0.41-0.88) and no association within other occupational categories. The interaction between perceived stress and OS was significant (P<0.01). CONCLUSION: This study suggests that the association between perceived stress and diabetes onset is dependent on OS. Furthermore, this association does not appear to be explained by the classical risk factors for diabetes.