Evidence map›Paper›PMID 31685308›Full record

ArticleDrug and alcohol dependence2019

Construction trade and extraction workers: A population at high risk for drug use in the United States, 2005-2014.

Danielle C Ompad, Robyn R Gershon, Simon Sandh, Patricia Acosta, Joseph J Palamar

Open access · greenAbstract read
In one paragraph

Article in Drug and alcohol dependence, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
5.6field-weighted citation impact, top 4% 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

15 citing papers in PubMed, 40 citations in OpenAlex.

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  10. Thriving from Work: Conceptualization and Measurement.International journal of environmental research and public health · 2021
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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 at 2 institutions in 1 country.

Danielle C OmpadDepartment of Epidemiology, College of Global Public Health, New York University, New York, NY, United States; Center for Drug Use and HIV/HCV Research, College of Global Public Health, New York University, New York, NY, United States. Electronic address: dco2@nyu.edu.
Robyn R GershonDepartment of Epidemiology, College of Global Public Health, New York University, New York, NY, United States.
Simon SandhDepartment of Epidemiology, College of Global Public Health, New York University, New York, NY, United States.
Patricia AcostaDepartment of Population Health, New York University School of Medicine, New York, NY, United States.
Joseph J PalamarCenter for Drug Use and HIV/HCV Research, College of Global Public Health, New York University, New York, NY, United States; Department of Population Health, New York University School of Medicine, New York, NY, United States.
New York University · USNew York College of Health Professions · US

Funding

Transdisciplinary Theoretical Svnthesis and Development CoreP30DA011041 · NIDA · NEW YORK UNIVERSITY · PI Holly Hagan · 1998 to 2026
$38.9M
Drug use among nightclub and dance festival attendees in New York CityR01DA044207 · NIDA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI PALAMAR, JOSEPH J · 2018 to 2021
$1.5M
Development of a Rapid Survey to Detect Use of New and Emerging DrugsK01DA038800 · NIDA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI PALAMAR, JOSEPH J · 2015 to 2019
$879k
NIDA NIH HHS K01 DA038800NIDA NIH HHS P30 DA011041NIDA NIH HHS R01 DA044207
6 · The paper itself

Abstract

objectiveTo estimate prevalence of past-month marijuana, cocaine, and nonmedical prescription opioid (NPO) use and determine employment-related correlates of drug use among construction trade/extraction workers (CTEW).

methodsWe analyzed ten years of data (2005-2014) from 293,492 adults (age≥18) in the National Survey on Drug Use and Health, comparing CTEW and non-CTEW.

resultsCTEW were 5.6% (n = 16,610) of the sample. Compared to non-CTEW, CTEW were significantly more likely to report past-month marijuana (12.3% vs. 7.5%), cocaine (1.8% vs. 0.8%), and/or NPO use (3.4% vs. 2.0%; Ps<.001). Among CTEW, past-week unemployment and working for >3 employers was associated with increased odds of marijuana and NPO use. Missing 1-2 days in the past month because the participant did not want to go into work was associated with increased odds for use of marijuana, cocaine, and NPO use. Missing 3-5 days of work in the past month because sick or injured was associated with double the odds (aOR = 2.00 [95% CI: 1.33-3.02]) of using NPO. Having written drug policies was associated with reduced odds for cocaine use, and workplace tests for drug use during hiring and random drug testing were also associated with lower odds of marijuana use.

conclusionsCTEW are a high-risk population for drug use. Precarious employment is associated with higher prevalence of drug use while some workplace drug policies were associated with lower prevalence. Coupled with reports of high overdose mortality among CTEW, these findings suggest that prevention and harm reduction programming is needed to prevent drug-related morbidity and mortality among CTEW.

Indexed as

AdolescentAdultAgedCase-Control StudiesCocaine-Related DisordersConstruction IndustryFemaleHumansMaleMarijuana UseMiddle AgedOpioid-Related DisordersPrevalenceRisk FactorsUnited StatesWorkplaceCocaineConstruction workersDrug useExtraction workersMarijuanaNonmedical prescription opioid use

Identifiers

PMID31685308
PMCPMC6910220
OpenAlexW2982323379

What OpenQuestion holds

Textmetadata
LicenceTDM
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.