Evidence map›Paper›PMID 37489183›Full record

ArticleCureus2023

Distracted Driving Behavior Among Adults in the Perambalur District: A Cross-Sectional Study.

Tamilarasan Muniyapillai, Karthikeyan Kulothungan, Maniprabhu S, Harini Meera

Abstract read
In one paragraph

Article in Cureus, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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.

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

4 authors.

Tamilarasan MuniyapillaiCommunity Medicine, Dhanalakshmi Srinivasan Medical College and Hospital, Perambalur, IND.
Karthikeyan KulothunganCommunity Medicine, Dhanalakshmi Srinivasan Medical College and Hospital, Perambalur, IND.
Maniprabhu SCommunity Medicine, K.A.P. Viswanatham Government Medical College, Trichy, IND.
Harini MeeraCommunity Medicine, Dhanalakshmi Srinivasan Medical College and Hospital, Perambalur, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background Distracted driving is a major public health concern. Distraction results in reduced speed control, lateral lane position, reduced situational awareness, and impaired response times to roadway hazards. Visual, cognitive, and manual distractions impair drivers in different ways. With the above background, this study was conducted with the objective of estimating the proportion of distracted driving behavior and its predictors among the adult population in the Perambalur district, Tamil Nadu, India, by using the Total Distracted Driving Scale. Materials and methods A cross-sectional study was conducted among 403 adults aged 18 years and above by convenience sampling technique in the Perambalur district for six months. A pretested, semi-structured proforma was used to collect data on socio-demographic characteristics such as age, sex, education, and occupation. To quantify distracted driving behavior, the Total Distracted Driving Scale was used. This scale contains seven questions about talking on the phone, five questions about texting, and five questions about using specific devices while driving. Data were entered into Microsoft Excel and analyzed using the Statistical Package for the Social Sciences (SPSS) Version 21. Descriptive statistics were used to describe the distracted driving behavior with respect to each variable, and to find out the significance, a corresponding statistical test was employed. A p-value of less than 0.05 was considered statistically significant. Results The mean age of the study participants was 24.86 ± 10.63 years. More than half of the study subjects (52.4 percent) were females, and around 87.3 percent of them were Hindu by religion. Among the study participants, around 66.74 percent mentioned that they had used a cell phone while driving. Around 38 percent of the study participants admitted that they had been in or were near-crash circumstances during the past year. Around 87 percent of the study participants who had a crash or near-crash in the past year admitted that they had been distracted while driving. On primary analysis, religion of individuals and increased driving frequency had a statistically significant association with a history of distracted driving. Study participants who were using three- and four-wheelers and those who used cellphones while driving had a statistically significant association with a history of distracted driving. According to the regression, cell phone users are 3.915 times more distracted than those who do not use cellphones (p = 0.001). Subjects with a history of crashes or near-crashes were 56.96 times more distracted than those without a history (p < 0.001). Conclusion In the present study, three-fourths of the study population used a cell phone while driving. More than three-fourths of the study participants admitted that they had been in a crash or near-crash circumstances during the past year. Distracted driving was responsible for four-fifths of all crashes or near-collisions. Use of a cell phone while driving and a history of near-crashes have a higher risk of distraction than those who do not.

Indexed as

distracted drivingindiaroad accidentsroad traffic accidentsroadway hazardstotal distracted driving scale

Identifiers

PMID37489183
PMCPMC10363402

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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.