The more you need, the less you get: Intersectionality and the inverse care law in the Brazilian depression care cascade.

Substantial research has shown that the population distribution of major depressive disorder (MDD) is strongly influenced by race, gender, and socioeconomic position. However, a deeper understanding of inequities in access to care for MDD according to these social markers is yet to be reached. We use data from the 2019 Brazilian National Health Survey, which includes 87,187 respondents aged 18 years and over, to test two hypotheses derived from the inverse care law: women, Black, and low-education respondents have higher frequencies of MDD, but lower access to each step of the depression care cascade, including diagnosis by a health professional, regular healthcare visits, and access to specialised treatment (H1); low-education Black women show the highest MDD frequency and the lowest access to care across the entire cascade (H2). Partially supporting H1 and H2, our results reveal a bottleneck in the first step of the depression care cascade. While no racial inequities were observed in the MDD prevalence, Black individuals were less likely than whites to be diagnosed by a health professional (OR 0.74). Women (OR 2.64) and low-education (OR 1.18) were more likely to have probable MDD in relation to men and high-education respondents, respectively, but only women (OR 1.58) were more likely to be diagnosed. Low-education Black women were equally more likely to have probable MDD (OR 3.11) than high-education white men. Conversely, high-education white women emerged as the most likely to be diagnosed with MDD (OR 1.63). Our findings suggest the inverse care law applies to the depression care cascade in Brazil through indication that its healthcare system perpetuates a multilayered system of oppression that overlooks multiply marginalised individuals. We also show that adequate screening by health care professionals should mitigate the complex patterns of inequity revealed by our study.

Gender, marital and educational inequalities in mid- to late-life depressive symptoms: cross-cohort variation and moderation by urbanicity degree.

BACKGROUND: Although ageing populations are increasingly residing in cities, it is unknown whether depression inequalities are moderated by urbanicity degree. We estimated gender, marital and educational inequalities in depressive symptoms among older European and Canadian adults, and examined whether higher levels of urbanicity, captured by population density, heightened these inequalities. METHODS: Harmonised cross-sectional data on 97 826 adults aged ≥50 years from eight cohorts were used. Prevalence ratios (PRs) were calculated for probable depression, depressed affect and depressive symptom severity by gender, marital status and education within each cohort, and combined using random-effects meta-analysis. Using a subsample of 73 123 adults from six cohorts with available data on population density, we tested moderating effects measured by the number of residents per square kilometre. RESULTS: The pooled PRs for probable depression by female gender, unmarried or non-cohabitating status and low education were 1.48 (95% CI 1.28 to 1.72), 1.44 (95% CI 1.29 to 1.61) and 1.29 (95% CI 1.18 to 1.41), respectively. PRs for depressed affect and high symptom severity were broadly similar. Except for one Dutch cohort with findings in an unexpected direction, there was no evidence that population density modified depressive symptom inequalities. CONCLUSIONS: Despite cross-cohort variation in gender, marital status and educational inequalities in depressive symptoms, there was weak evidence that these inequalities differed by levels of population density.

The prospective relationship between social cohesion and depressive symptoms among older adults from Central and Eastern Europe.

BACKGROUND: Social cohesion has a potential protective effect against depression, but evidence for Central and Eastern Europe is lacking. We investigated the prospective association between social cohesion and elevated depressive symptoms in the Czech Republic, Russia and Poland, and assessed whether alcohol drinking and smoking mediated this association. METHODS: Cohort data from 15 438 older urban participants from the Health, Alcohol and Psychosocial factors In Eastern Europe project were analysed. Baseline social cohesion was measured by five questions, and depressive symptoms were measured 3 years later by the 10-item Center for Epidemiological Depression (CES-D) Scale. Nested logistic regression models estimated ORs of elevated depressive symptoms (CES-D 10 score ≥4) by z-scores and tertiles of social cohesion. RESULTS: Per 1 SD decrease in social cohesion score, adjusted ORs of elevated depressive symptoms were 1.13 (95% CI 1.05 to 1.23) and 1.05 (95% CI 0.99 to 1.13) in men and women, respectively. Further adjustment for smoking and drinking did not attenuate these associations in either men (OR=1.13, 95% CI 1.05 to 1.22) or women (OR=1.05, 95% CI 0.99 to 1.13). Similarly, the fully adjusted ORs comparing the lowest versus highest social cohesion tertile were 1.33 (95% CI 1.10 to 1.62) in men and 1.18 (95% CI 1.01 to 1.39) in women. CONCLUSIONS: Lower levels of social cohesion was associated with heightened depressive symptoms after a 3-year follow-up among older Czech, Russian and Polish adults. These effects appeared stronger in men, and alcohol and smoking played no appreciable role in this association.