Evidence map›Paper›PMID 29166442›Full record

ArticleRevista de saude publica2017

Depression and unemployment incidence rate evolution in Portugal, 1995-2013: General Practitioner Sentinel Network data.

Ana Paula Rodrigues, Mafalda Sousa-Uva, Rita Fonseca, Sara Marques, Nuno Pina, Carlos Matias-Dias

Abstract read
In one paragraph

Article in Revista de saude publica, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Profile of workers receiving disability benefits for depressive conditions in south Santa Catarina, Brazil.Revista brasileira de medicina do trabalho : publicacao oficial da Associacao Nacional de Medicina do Trabalho-ANAMT
    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

6 authors.

Ana Paula RodriguesInstituto Nacional de Saúde Doutor Ricardo Jorge. Departamento de Epidemiologia. Lisboa, Portugal.
Mafalda Sousa-UvaInstituto Nacional de Saúde Doutor Ricardo Jorge. Departamento de Epidemiologia. Lisboa, Portugal.
Rita FonsecaUniversidade Nova de Lisboa. Centro de Investigação em Saúde Pública. Lisboa, Portugal.
Sara MarquesAgrupamento de Centros de Saúde Dão-Lafões. Unidade Cuidados de Saúde Personalizados Tomaz Ribeiro. Tondela, Portugal.
Nuno PinaAgrupamento de Centros de Saúde Dão-Lafões. Unidade de Saúde Familiar Rio Dão. Santa Comba-Dão, Portugal.
Carlos Matias-DiasInstituto Nacional de Saúde Doutor Ricardo Jorge. Departamento de Epidemiologia. Lisboa, Portugal.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveQuantify, for both genders, the correlation between the depression incidence rate and the unemployment rate in Portugal between 1995 and 2013.

methodsAn ecological study was developed to correlate the evolution of the depression incidence rates estimated by the General Practitioner Sentinel Network and the annual unemployment rates provided by the National Statistical Institute in official publications.

resultsThere was a positive correlation between the depression incidence rate and the unemployment rate in Portugal, which was significant only for males (R2 = 0.83, p = 0.04). For this gender, an increase of 37 new cases of depression per 100,000 inhabitants was estimated for each 1% increase in the unemployment rate between 1995 and 2013.

conclusionsAlthough the study design does not allow the establishment of a causal association between unemployment and depression, the results suggest that the evolution of unemployment in Portugal may have had a significant impact on the level of mental health of the Portuguese, especially among men.

Indexed as

DepressionDepressive DisorderFemaleHumansIncidenceMalePortugalRisk FactorsSex FactorsSocioeconomic FactorsUnemployment

Identifiers

PMID29166442
PMCPMC5676774

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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.