Evidence map›Paper›PMID 29942621›Full record

ArticleDigital health

The accuracy and promise of personal breathalysers for research: Steps toward a cost-effective reliable measure of alcohol intoxication?

Benjamin C Riordan, Damian Scarf, Saleh Moradi, Jayde A M Flett, Kate B Carey, Tamlin S Conner

Open access · goldAbstract read
In one paragraph

Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
1.4field-weighted citation impact, top 18% 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

19 citing papers in PubMed, 31 citations in OpenAlex.

  1. Using mobile technology to influence alcohol-impaired driving risk perceptions and decisions.Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors · 2024
    Trial
  2. The neurobiological markers of acute alcohol's subjective effects in humans.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2022
    Trial
  3. Article
  4. Article
  5. Unplanned drinking predicts alcohol-impaired driving cognitions and behavior in daily life.Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Observational
  12. Article
  13. Article
  14. Event-Level Predictors of Alcohol-Impaired Driving Intentions.Journal of studies on alcohol and drugs · 2020
    Article
  15. Assessment of Alcohol Use in the Natural Environment.Alcoholism, clinical and experimental research · 2019
    Review
  16. Article
  17. Article
  18. Article
  19. 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

6 authors at 2 institutions in 2 countries.

Benjamin C Riordan1Department of Psychology, University of Otago, New Zealand.
Damian Scarf1Department of Psychology, University of Otago, New Zealand.
Saleh Moradi1Department of Psychology, University of Otago, New Zealand.
Jayde A M Flett1Department of Psychology, University of Otago, New Zealand.
Kate B Carey2Department of Behavioral and Social Sciences, Center for Alcohol and Addiction Studies, Brown University School of Public Health, US.
Tamlin S Conner1Department of Psychology, University of Otago, New Zealand.
University of Otago · NZJohn Brown University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTechnology is continuing to shape the way we collect health data, including data on alcohol use. A number of technologies are being developed to objectively measure intoxication 'in the wild' without relying on self-report; the most immediate solution may be the use of personal breathalysers. In this study, we aimed to determine whether a cost-effective personal breathalyser would perform in a similar manner to a device used for roadside breath testing.

methodWe intercepted young adults (

resultsParticipants reported having consumed an average of 7.3 standard drinks before the interview and had a mean Blood Alcohol Content of 0.077 g/dl on the police-grade device and 0.085 g/dl on the personal device. Difference scores suggested the personal breathalyser was more likely to over report Blood Alcohol Content (bias = 0.008 g/dl).

conclusionAlthough the personal device was more likely to over report Blood Alcohol Content compared with the police-grade device, the results suggest that personal devices could be used as a measure of Blood Alcohol Content when collecting data outside of the lab.

Indexed as

alcohol useBACpersonal breathalysertechnology

Identifiers

PMID29942621
PMCPMC6001255
OpenAlexW2779349434

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.