Evidence map›Paper›PMID 37395821›Full record

ReviewHealth economics review2023

Sick and depressed? The causal impact of a diabetes diagnosis on depression.

Alessio Gaggero, Joan Gil, Dolores Jiménez-Rubio, Eugenio Zucchelli

Open access · goldAbstract readReview
In one paragraph

Review in Health economics review, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.4field-weighted citation impact, top 20% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 3 institutions in 3 countries.

Alessio GaggeroDepartment of Applied Economics, University of Granada, Granada, Spain.
Joan GilDepartment of Economics and BEAT, Universitat de Barcelona, Diagonal Ave. 696, 08034, Barcelona, Spain. joangil@ub.edu.ORCID http://orcid.org/0000-0003-4159-379X
Dolores Jiménez-RubioDepartment of Applied Economics, University of Granada, Granada, Spain.
Eugenio ZucchelliMadrid Institute for Advanced Study (MIAS) and Department of Economic Analysis, Universidad Autónoma de Madrid (UAM), Madrid, Spain.
Universidad de Granada · ESClínica Diagonal · ESIZA - Institute of Labor Economics · DE

Funding

Gobierno Regional de Madrid H2019/HUM-5793Ministerio de Ciencia e Innovación PID2019-105688RB-I00Ministerio de Ciencia e Innovación PID2019-111765GB-I00
6 · The paper itself

Abstract

backgroundThere 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.

methodsWe 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.

resultsWe 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.

conclusionsThe 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.

Indexed as

Administrative longitudinal dataDepressionDiabetesFuzzy regression discontinuity designLifestyle changes

Identifiers

PMID37395821
PMCPMC10316538
OpenAlexW4382919094

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.