Sick and depressed? The causal impact of a diabetes diagnosis on depression.
Administrative longitudinal data
Depression
Diabetes
Fuzzy regression discontinuity design
Lifestyle changes
Journal
Health economics review
ISSN: 2191-1991
Titre abrégé: Health Econ Rev
Pays: Germany
ID NLM: 101583209
Informations de publication
Date de publication:
03 Jul 2023
03 Jul 2023
Historique:
received:
23
01
2023
accepted:
07
06
2023
medline:
3
7
2023
pubmed:
3
7
2023
entrez:
3
7
2023
Statut:
epublish
Résumé
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 effect of a diabetes diagnosis on depression. We employ a fuzzy regression discontinuity design (RDD) exploiting the exogenous cut-off 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. We find that overall a type-2 diabetes diagnosis increases the probability of becoming depressed, however this effect appears to be driven mostly by women, and in particular those who are relatively younger and obese. Results also appear to differ 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 specifications and placebo tests. The study provides novel empirical evidence on the causal impact of health information on mental health, shedding light on gender-based differences in such effects and potential mechanisms through changes in lifestyle behaviours.
Sections du résumé
BACKGROUND
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 effect of a diabetes diagnosis on depression.
METHODS
METHODS
We employ a fuzzy regression discontinuity design (RDD) exploiting the exogenous cut-off 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
RESULTS
We find that overall a type-2 diabetes diagnosis increases the probability of becoming depressed, however this effect appears to be driven mostly by women, and in particular those who are relatively younger and obese. Results also appear to differ 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 specifications and placebo tests.
CONCLUSIONS
CONCLUSIONS
The study provides novel empirical evidence on the causal impact of health information on mental health, shedding light on gender-based differences in such effects and potential mechanisms through changes in lifestyle behaviours.
Identifiants
pubmed: 37395821
doi: 10.1186/s13561-023-00451-w
pii: 10.1186/s13561-023-00451-w
pmc: PMC10316538
doi:
Types de publication
Journal Article
Review
Langues
eng
Pagination
38Subventions
Organisme : Ministerio de Ciencia e Innovación
ID : PID2019-105688RB-I00
Organisme : Ministerio de Ciencia e Innovación
ID : PID2019-111765GB-I00
Organisme : Gobierno Regional de Madrid
ID : H2019/HUM-5793
Informations de copyright
© 2023. The Author(s).
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