Evidence map›Paper›PMID 33161895›Full record

ArticleInjury epidemiology2020

Prevalence of and factors associated with self-reported noncompliance with mandatory seatbelt-use law while driving among adults in Kuwait.

Hashem Ridha, Fahed Bouzaber, Maryam Al-Sallal, Aisha Almutairi, Reem Al-Dhubaiei, Saeed Akhtar

Open access · goldAbstract read
In one paragraph

Article in Injury epidemiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.4field-weighted citation impact, top 37% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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

6 authors at 1 institution in 1 country.

Hashem RidhaDepartment of Community Medicine & Behavioural Sciences, Faculty of Medicine, Kuwait University, PO Box 24923, 13110, Safat, Kuwait.
Fahed BouzaberDepartment of Community Medicine & Behavioural Sciences, Faculty of Medicine, Kuwait University, PO Box 24923, 13110, Safat, Kuwait.
Maryam Al-SallalDepartment of Community Medicine & Behavioural Sciences, Faculty of Medicine, Kuwait University, PO Box 24923, 13110, Safat, Kuwait.
Aisha AlmutairiDepartment of Community Medicine & Behavioural Sciences, Faculty of Medicine, Kuwait University, PO Box 24923, 13110, Safat, Kuwait.
Reem Al-DhubaieiDepartment of Community Medicine & Behavioural Sciences, Faculty of Medicine, Kuwait University, PO Box 24923, 13110, Safat, Kuwait.
Saeed AkhtarDepartment of Community Medicine & Behavioural Sciences, Faculty of Medicine, Kuwait University, PO Box 24923, 13110, Safat, Kuwait. saeed.akhtar@ku.edu.kw.ORCID http://orcid.org/0000-0002-1261-788X
Kuwait University · KW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis cross-sectional study assessed the prevalence of self-reported noncompliance with mandatory seatbelt-use law and examined the factors associated with noncompliance with seatbelt-use while driving in adult working population in Kuwait.

methodsDuring October 2017, 822 adults aged 21-60 years from 11 government ministries and departments were enrolled in this study. Data were collected using a pre-tested, structured, and self-administered questionnaire. We computed the prevalence of self-reported noncompliance with mandatory seatbelt-use law while driving and evaluated the factors associated with noncompliance with seatbelt-use law while driving using a multivariable log-binomial regression model. The adjusted prevalence ratios (PR) and corresponding 95% confidence intervals (CI) were computed using model's parameters' estimates.

resultsOf 822 participants, 64.4% were females, 56.6% were 21 to 30 years old, 86.5% were Kuwaitis, and 70.3% had college and/or university level education. The prevalence of self-reported noncompliance with mandatory seatbelt-use law while driving was 55.5%, whereas the prevalence of noncompliance with self-reported mandatory use seatbelt as a passenger was 80.9%. Multivariable log-binomial regression model showed that after adjusting for the influence of other variables in the model, participants were more likely to be noncompliers with mandatory seatbelt law while driving, if they believed that seatbelt does not protect against injuries during road traffic crashes (RTC) (adjusted PR = 1.20; 95% CI: 1.06-1.37; p = 0.004) or if they were ever fined for not wearing seatbelt (adjusted PR = 1.34; 95% CI: 1.24-1.47; p <  0.001). Furthermore, participants were significantly more likely to be noncompliers with mandatory seatbelt law while driving, if they were unaware of implemented mandatory seatbelt law in Kuwait (adjusted PR = 1.11; 95% CI: 1.04-1.19; p = 0.003).

conclusionsThe prevalence of noncompliance with mandatory seatbelt-use law in the adult working population of Kuwait is considerably high. Being unaware of mandatory seatbelt use law, belief that seatbelt does not protect during RTC, and having ever been fined in the past for not having seatbelt on while driving were significant predictors of noncompliance with seatbelt-use law. These results warrant the focused mass education and rigorous enforcement of seatbelt-use law while driving. These strategies are likely to enhance the adherence to seatbelt-use law and minimize RTCs related injuries and mortality among adult drivers in this and other similar settings in the region. If implemented, future studies may look at the impact of such interventions on RTCs related frequency and severity of injuries in this and other similar settings.

Indexed as

Log-binomial modelNoncompliancePrevalencePrevalence ratioRisk behaviorsSeatbelt law

Identifiers

PMID33161895
PMCPMC7650188
OpenAlexW3104322452

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.