Evidence map›Paper›PMID 33095839›Full record

ArticlePloS one2020

Estimation of the relationship between the persistent decrease of the suicide rate and the changes in sociodemographic composition in Hungary between 1990 and 2011.

Lajos Balint, Katalin Fuzer, Xenia Gonda, Peter Dome

Abstract read
In one paragraph

Article in PloS one, 2020. 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
–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

2 citing papers in PubMed.

  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.

Lajos BalintDemographic Research Institute of the Hungarian Central Statistical Office, Budapest, Hungary.
Katalin FuzerDepartment of Sociology, University of Pécs, Pécs, Hungary.
Xenia GondaDepartment of Psychiatry and Psychotherapy, Semmelweis University, Faculty of Medicine, Budapest, Hungary.
Peter DomeDepartment of Psychiatry and Psychotherapy, Semmelweis University, Faculty of Medicine, Budapest, Hungary.ORCID 0000-0003-3847-0553

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

From the end of the 1980s, the Hungarian suicide rate, which had been until that point the highest in the world for decades, has decreased drastically. The reason behind this decrease was probably due to the changes in numerous and often interlinked risk factors. Studies on this topic have mostly ignored to interrogate to what extent the change of the population composition, for example the improvement of educational level, contributed to the decrease of the rate in the given period? Our aim was to assess the contribution of changes in some sociodemographic factors to the decrease of the suicide rate in Hungary. During the analysis, data from 1990 were compared with data from 2011. For the statistical calculations, the method of "Standardization and Decomposition (SDA)" was used, which according to our best knowledge, has not yet been applied in Hungarian suicide studies. The results show that the improvement of educational level helped to decrease the rate for men by about a third, while for women only by about a tenth. However, the benefit of the improvement in educational attainment during the period investigated was significantly offset by the changes primarily in marital status (the ratios of unmarried and divorced subjects increased for both genders) and in age distribution (the ratio of the elderly persons increased for both genders). The results of our study emphasise the inverse relationship between suicide and educational level and support the hypothesis that we can regard educational policy as indirect health policy.

Indexed as

DemographySocioeconomic FactorsAdultAgedAged, 80 and overEducational StatusFemaleHumansHungaryMaleMarital StatusMiddle AgedReference StandardsSuicide

Identifiers

PMID33095839
PMCPMC7584192

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.