Description:
Background There is sparse evidence on the impact of health information on mental health as well as on the mechanisms governing this relationship. We estimate the causal impact of health information on mental health via the efect of a diabetes diagnosis on depression. Methods We employ a fuzzy regression discontinuity design (RDD) exploiting the exogenous cut-of value of a biomarker used to diagnose type-2 diabetes (glycated haemoglobin, HbA1c) and information on psycometrically validated measures of diagnosed clinical depression drawn from rich administrative longitudinal individual-level data from a large municipality in Spain. This approach allows estimating the causal impact of a type-2 diabetes diagnosis on clinica ldepression. Results We fnd that overall a type-2 diabetes diagnosis increases the probability of becoming depressed, however this efect appears to be driven mostly by women, and in particular those who are relatively younger and obese. Results also appear to difer by changes in lifestyle induced by the diabetes diagnosis: while women who did not lose weight are more likely to develop depression, men who did lose weight present a reduced probability of being depressed. Results are robust to alternative parametric and non-parametric specifcations and placebo tests. Conclusions The study provides novel empirical evidence on the causal impact of health information on mental health, shedding light on gender-based diferences in such efects and potential mechanisms through changes in lifestyle behaviours.