Evidence map›Paper›PMID 36497661›Full record

ArticleInternational journal of environmental research and public health2022

Incidence Rates of Agricultural Machine-Related Injuries in South Korea.

Kyungsu Kim, Hyocher Kim, Minji Lee, Wongeon Jung, Dongphil Choi

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Kyungsu KimAgricultural Safety and Health Division, National Institute of Agricultural Sciences, Rural Development Administration, Jeonju-si 54875, Republic of Korea.ORCID 0000-0001-8585-0773
Hyocher KimAgricultural Safety and Health Division, National Institute of Agricultural Sciences, Rural Development Administration, Jeonju-si 54875, Republic of Korea.
Minji LeeAgricultural Safety and Health Division, National Institute of Agricultural Sciences, Rural Development Administration, Jeonju-si 54875, Republic of Korea.
Wongeon JungAgricultural Safety and Health Division, National Institute of Agricultural Sciences, Rural Development Administration, Jeonju-si 54875, Republic of Korea.ORCID 0000-0003-0570-2485
Dongphil ChoiAgricultural Safety and Health Division, National Institute of Agricultural Sciences, Rural Development Administration, Jeonju-si 54875, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although agricultural machines are the leading cause of agricultural injury, there are few comparative studies on the injury risks associated with different types of agricultural machines. Therefore, we compared the injury rates and risks of various agricultural machine types in South Korea using data from comprehensive agricultural machine insurance, which is partially paid for by the government. Specifically, we conducted a retrospective cross-sectional study using 2014-2019 data on subscriptions and 2014-2020 data on compensation for personal bodily injury from comprehensive agricultural machine-related insurance coverage. We calculated the agricultural machine-related injury rate for each machine type and analyzed the factors affecting the injury using logistic regression. Between 2014 and 2020, 2061 recorded agricultural machine-related injuries occurred for 338,418 comprehensive agricultural machinery insurance subscriptions. The annual average number of injuries per 1000 agricultural machines was 6.1, showing an annual increase. Multivariate logistic regression analysis revealed that the risk of injury increased with age, which was 2.3 times higher for tillers and power carts than for tractors. There is thus a need for legal safety measures, particularly related to high-risk agricultural machines (e.g., power tillers) and individuals (e.g., older drivers), as well as specific driving licenses and regular inspections of agricultural machinery.

Indexed as

AgricultureWounds and InjuriesAccidents, OccupationalCross-Sectional StudiesHumansIncidenceInsurance CoverageRetrospective Studiesagriculturefarmerinjurymachineoccupational

Identifiers

PMID36497661
PMCPMC9740970

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.