Evidence map›Paper›PMID 33198685›Full record

ArticleBMC public health2020

Predictors and burden of injury mortality in the Thai cohort study 2005-2015.

C T Lowe, M Kelly, S Seubsman, A Sleigh

Abstract read
In one paragraph

Article in BMC public health, 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.

C T LoweDepartment of Global Health, Research School of Population Health, Australian National University, 339/4 Hutton St, Acton, ACT 2601, Australia. callum.t.lowe@gmail.com.ORCID http://orcid.org/0000-0002-0871-0969
M KellyDepartment of Global Health, Research School of Population Health, Australian National University, 339/4 Hutton St, Acton, ACT 2601, Australia.
S SeubsmanSchool of Human Ecology, Sukhothai Thammathirat Open University, Nonthaburi, Thailand.
A SleighDepartment of Global Health, Research School of Population Health, Australian National University, 339/4 Hutton St, Acton, ACT 2601, Australia.

Funding

Australian National Health and Medical Research Council 268055National Health and Medical Research Council 585426Wellcome TrustWellcome Trust UK GR071587MA
6 · The paper itself

Abstract

backgroundThailand is a high injury burden setting. In 2015 it had the world's second highest rate of road traffic fatalities. In order to develop strategies to reduce this burden an accurate understanding of the development of injury risk over the life course is essential.

methodsA national cohort of adult Thais was recruited in 2005 (n = 87,151). Participants completed a health questionnaire covering geodemographic, behavioural, health and injury data. Citizen ID numbers were matched with death registration records, identifying deaths from any injury. Adjusted logistic regression models were used to measure associations between baseline exposures and injury deaths between 2005 and 2015.

resultsInjury mortality comprised 363 individuals, the majority (36%) from traffic injuries. Predictors of all-injury mortality were being male (AOR 3.55, 95% CI 2.57-4.89), Southern Thai (AOR 1.52, 95% CI 1.07-2.16), smoking (AOR 1.55, 95% CI 1.16-2.17), depression (AOR 1.78, 95% CI 1.07-2.96), previous injury (AOR 1.37, 95% CI 1.03-1.81) and drink driving history (AOR 1.37, 95%CI 1.02-1.85). Age and region of residence were stronger predictors for men, while anxiety/depression was a stronger predictor for women. Among males in the far south, assault caused the largest proportion of injury mortality, elsewhere traffic injury was most common.

conclusionsThis study identifies that a history of drink driving, but not regular alcohol consumption, increased injury risk. The associations between smoking and depression, and injury mortality also need further consideration.

Indexed as

Accidents, TrafficAdolescentAdultCohort StudiesDriving Under the InfluenceFemaleHumansMaleMiddle AgedRisk FactorsThailandWounds and InjuriesYoung AdultCohort studyEpidemiologyLow-middle income countryMortalityRisks/ determinants

Identifiers

PMID33198685
PMCPMC7667769

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.