Evidence map›Paper›PMID 37200297›Full record

ArticlePloS one2023

The epidemiology, risk factors and impact of exposure on unintentional surfer and bodyboarder deaths.

Jasmin C Lawes, William Koon, Ingvar Berg, Dion van de Schoot, Amy E Peden

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
4.1field-weighted citation impact, top 6% 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

5 citing papers in PubMed, 14 citations in OpenAlex.

  1. Quantifying rip current-related drowning deaths and exposure on Australian beaches.Injury prevention : journal of the International Society for Child and Adolescent Injury Prevention · 2026
    Article
  2. Injuries caused to others by recreational surfers in Australia.Injury prevention : journal of the International Society for Child and Adolescent Injury Prevention · 2026
    Article
  3. Article
  4. Review
  5. 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

5 authors at 3 institutions in 3 countries.

Jasmin C LawesSurf Life Saving Australia, Sydney, New South Wales, Australia.ORCID 0000-0002-6652-3053
William KoonBeach Safety Research Group, UNSW Sydney, Sydney, New South Wales, Australia.
Ingvar BergSurfing Medicine International, The Hague, The Netherlands.
Dion van de SchootSurfing Medicine International, The Hague, The Netherlands.ORCID 0000-0001-5674-3450
Amy E PedenBeach Safety Research Group, UNSW Sydney, Sydney, New South Wales, Australia.ORCID 0000-0002-6424-1511
UNSW Sydney · AUMedisch Centrum Haaglanden · NLWaikato Regional Council · NZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Surfing and bodyboarding (SAB) are popular activities, but not without risk. Limited SAB mortality and exposure risk explorations exist, so this cross-sectional study explores epidemiology and risk factors for SAB deaths (1 July, 2004-30 June,2020) in Australia: including decedent and incident profiles, causes of death, differences between fatalities during SAB and other coastal activities; and the impact of exposure on SAB mortality risk. Fatality data were sourced from the National Coronial Information System, incident and media reports. Tide-state data, population data and participation data were sourced from relevant authorities. Analyses included chi-square testing and simple logistic regression with odds ratios. There were 155 SAB deaths (80.6% surfing; 96.1% male; 36.8% aged 55+years; 0.04/100,000 residents; 0.63/100,000 surfers). Drowning was the most common cause of death (58.1%; n = 90), but higher in bodyboarding, with bodyboarders 4.62 times more likely to drown than surfers (95%CI: 1.66-12.82; p = 0.003). Almost half (44.5%; n = 69; χ22 = 9.802; p = 0.007) were with friends/family, and the largest proportion occurred during a rising tide (41.3%; n = 64; χ23 = 180.627; p<0.001) followed by a low tide (36.8%;n = 57). Australians surf 45.7 times each year, for 1.88 hours each visit equalling 86.1 'exposed' hours. With exposure-time considered, exposure-adjusted surfer mortality rate (0.06/1 million hours) is lower than other in-water activities (0.11/1 million hours). Younger surfers (14-34 years) surfed more yet had the lowest mortality rate (114.5 hours/year; 0.02/1 million hours). Older surfers (55+ years) had a lower SAB mortality rate (0.052) than the all-cause crude mortality rate of their average population counterparts (1.36). Cardiac conditions were identified in 32.9% (n = 69) of SAB deaths. SAB are relatively safe, with lower exposure mortality rates than other activities. Prevention should target older surfers, inland residents, and identification of surfers with risk factors for cardiac events.

Indexed as

DrowningSportsAustraliaCross-Sectional StudiesFemaleHumansMaleRisk FactorsWaterWater

Identifiers

PMID37200297
PMCPMC10194912
OpenAlexW4377018823

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.