Evidence map›Paper›PMID 30991657›Full record

ArticleInternational journal of environmental research and public health2019

Using Rural⁻Urban Continuum Codes (RUCCS) to Examine Alcohol-Related Motor Vehicle Crash Injury and Enforcement in New York State.

Joyce C Pressley, Leah M Hines, Michael J Bauer, Shin Ah Oh, Joshua R Kuhl, Chang Liu, Bin Cheng, Matthew F Garnett

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Substance use among fatally-injured pedestrians in New York State, USA: a retrospective analysis.Injury prevention : journal of the International Society for Child and Adolescent Injury Prevention · 2026
    Article
  2. Article
  3. Observational
  4. Article
  5. Young Adult Alcohol and Cannabis Impaired Driving After the Opening of Cannabis Retail Stores in Washington State.Prevention science : the official journal of the Society for Prevention Research · 2024
    Article
  6. Article
  7. 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

8 authors.

Joyce C PressleyDepartments of Epidemiology and Health Policy and Management and Center for Injury Epidemiology and Prevention at Columbia, Columbia University, New York, NY 10032, USA. jp376@cumc.columbia.edu.
Leah M HinesBureau of Occupational Health and Injury Prevention, New York State Department of Health, Albany, NY 12237, USA. leah.hines@health.ny.gov.ORCID 0000-0003-0302-0421
Michael J BauerBureau of Occupational Health and Injury Prevention, New York State Department of Health, Albany, NY 12237, USA. Michael.bauer@health.ny.gov.
Shin Ah OhDepartment of Epidemiology, Columbia University, New York, NY 10032, USA. so2461@caa.columbia.edu.
Joshua R KuhlDepartment of Epidemiology, Columbia University, New York, NY 10032, USA. jkuhl650@gmail.com.
Chang LiuDepartment of Epidemiology, Columbia University, New York, NY 10032, USA. nkchangliu@gmail.com.
Bin ChengDepartment of Biostatistics, Columbia University, New York, NY 10032, USA. bc2159@cumc.columbia.edu.
Matthew F GarnettBureau of Occupational Health and Injury Prevention, New York State Department of Health, Albany, NY 12237, USA. matthew.garnett@health.ny.gov.ORCID 0000-0002-1867-6856

Funding

CDC HHS 1R49 CE002096CDC HHS 6 NU17CE924845
6 · The paper itself

Abstract

Rural areas of New York State (NYS) have higher rates of alcohol-related motor vehicle (MV) crash injury than metropolitan areas. While alcohol-related injury has declined across the three geographic regions of NYS, disparities persist with rural areas having smaller declines. Our study aim was to examine factors associated with alcohol-related MV crashes in Upstate and Long Island using multi-sourced county-level data that included the Crash Outcome Data Evaluation System (CODES) with emergency department visits and hospitalizations, traffic citations, demographic, economic, transportation, alcohol outlets, and Rural-Urban Continuum Codes (RUCCS). A cross-sectional study design employed zero-truncated negative binominal regression models to assess relative risks (RR) with 95% confidence interval (CI). Counties (

Indexed as

Law EnforcementAccidents, TrafficAlcohol DrinkingAlcoholic IntoxicationClinical CodingCross-Sectional StudiesHumansNew YorkRural PopulationUrban PopulationWounds and Injuriesalcoholinjurymotor vehicle crashrural healthtraffic citations and enforcement

Identifiers

PMID30991657
PMCPMC6518428

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.