Evidence map›Paper›PMID 37286978›Full record

ArticleBMC public health2023

Sociodemographic inequalities in mortality from drowning in the Baltic countries and Finland in 2000-2015: a register-based study.

Andrew Stickley, Aleksei Baburin, Domantas Jasilionis, Juris Krumins, Pekka Martikainen, Naoki Kondo, Jae Il Shin, Yosuke Inoue, Mall Leinsalu

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 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
2.6field-weighted citation impact, top 11% 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, 9 citations in OpenAlex.

  1. Article
  2. The epidemiology and outcomes of hospitalized drowning in Thai children: a national data analysis 2015-2019.Scandinavian journal of trauma, resuscitation and emergency medicine · 2024
    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

9 authors at 8 institutions in 8 countries.

Andrew StickleyStockholm Centre for Health and Social Change, Södertörn University, Huddinge, 141 89, Sweden.
Aleksei BaburinDepartment of Epidemiology and Biostatistics, National Institute for Health Development, Tallinn, Estonia.
Domantas JasilionisMax Planck Institute for Demographic Research, Rostock, Germany.
Juris KruminsDemography Unit, Faculty of Business, Management and Economics, University of Latvia, Riga, Latvia.
Pekka MartikainenMax Planck Institute for Demographic Research, Rostock, Germany.
Naoki KondoDepartment of Social Epidemiology, Graduate School of Medicine, School of Public Health, Kyoto University, Kyoto, Japan.
Jae Il ShinDepartment of Pediatrics, Yonsei University College of Medicine, Yonsei-ro 50, Seodaemun- gu, Seoul, Korea.
Yosuke InoueDepartment of Epidemiology and Prevention, Center for Clinical Sciences, National Center for Global Health and Medicine, Tokyo, Japan.
Mall LeinsaluStockholm Centre for Health and Social Change, Södertörn University, Huddinge, 141 89, Sweden. mall.leinsalu@sh.se.
Kyoto University · JPMax Planck Institute for Demographic Research · DENational Center for Global Health and Medicine · JPNational Institute for Health Development · EESödertörn University · SEUniversity of Helsinki · FIUniversity of Latvia · LVYonsei University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDrowning is an important public health problem. Some evidence suggests that the risk of drowning is not distributed evenly across the general population. However, there has been comparatively little research on inequalities in drowning mortality. To address this deficit, this study examined trends and sociodemographic inequalities in mortality from unintentional drowning in the Baltic countries and Finland in 2000-2015.

methodsData for Estonia, Latvia and Lithuania came from longitudinal mortality follow-up studies of population censuses in 2000/2001 and 2011, while corresponding data for Finland were obtained from the longitudinal register-based population data file of Statistics Finland. Deaths from drowning (ICD-10 codes W65-W74) were obtained from national mortality registries. Information was also obtained on socioeconomic status (educational level) and urban-rural residence. Age-standardised mortality rates (ASMRs) per 100 000 person years and mortality rate ratios were calculated for adults aged 30-74 years old. Poisson regression analysis was performed to assess the independent effects of sex, urban-rural residence and education on drowning mortality.

resultsDrowning ASMRs were significantly higher in the Baltic countries than in Finland but declined by nearly 30% in all countries across the study period. There were large inequalities by sex, urban-rural residence and educational level in all countries during 2000-2015. Men, rural residents and low educated individuals had substantially higher drowning ASMRs compared to their counterparts. Absolute and relative inequalities were significantly larger in the Baltic countries than in Finland. Absolute inequalities in drowning mortality declined in all countries across the study period except between urban and rural residents in Finland. Changes in relative inequalities were more variable during 2000-2015.

conclusionDespite a sharp reduction in deaths from drowning in the Baltic countries and Finland in 2000-2015, drowning mortality was still high in these countries at the end of the study period with a substantially larger risk of death seen among men, rural residents and low educated individuals. A concerted effort to prevent drowning mortality among those most at risk may reduce drownings considerably in the general population.

Indexed as

DrowningAdultAgedEducational StatusEstoniaFinlandHumansMaleMiddle AgedMortalitySocial ClassSocioeconomic FactorsAlcoholDeathDrowningEducationInequalityUrban-rural

Identifiers

PMID37286978
PMCPMC10245523
OpenAlexW4379768518

What OpenQuestion holds

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LicenceCC BY
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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.