Evidence map›Paper›PMID 40035934›Full record

ArticleInternational journal of health economics and management2025

Do depressive symptoms influence nonattendance at work? A semiparametric approach.

Patricia Moreno-Mencia, Ana Fernández-Sainz, Juan M Rodríguez-Póo

Abstract read
In one paragraph

Article in International journal of health economics and management, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Patricia Moreno-MenciaUniversidad Internacional de la Rioja, Av. La Paz, 136, Logrońo, Spain.ORCID http://orcid.org/0000-0002-8210-4932
Ana Fernández-SainzUniversidad del País Vasco (UPV/EHU), E48015, Bilbao, Spain. ana.fernandez@ehu.eus.
Juan M Rodríguez-PóoDepartamento de Economía, Universidad de Cantabria, E39005, Santander, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Depression is a common disorder that impacts on individuals' ability to perform daily activities, including those required for working. People with poor health tend to have problems needing medical care and therefore need time away from their work. This paper considers a structural model of labor absenteeism, considering the effect of depression. Our objective is to estimate the effects that depressive symptoms (among other factors) have on absenteeism while avoiding inconsistency in estimators due to sample selection and endogenous regressor. We are unwilling to impose strong assumptions, which are sometimes not required by theory, so our model is semiparametric. Based on microdata from the European Health Survey in Spain, our results indicate that depressive symptoms have a negative effect on working time and increase absenteeism. We conclude that depressed workers lose on average around 12 more days per year than non depressed ones. Levels of absenteeism are also estimated to be higher on average among obese people and among older people (the effect of age is positive). On the other hand, non-college education, being male and being self-employed are factors related to lower levels of absenteeism.

Indexed as

AbsenteeismDepressionEmploymentAdultAgedAge FactorsFemaleHealth SurveysHumansMaleMiddle AgedSex FactorsSpainYoung AdultAbsenteeismControl function estimatorsDepressionEndogenous treatment effectsSemiparametric estimation

Identifiers

PMID40035934
PMCPMC12003569

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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.