Evidence map›Paper›PMID 36215275›Full record

ArticlePloS one2022

Explicit and implicit attitudes toward smoking: Dissociation of attitudes and different characteristics for an implicit attitude in smokers and nonsmokers.

Xinyue Gao, Daisuke Sawamura, Ryuji Saito, Yui Murakami, Rika Yano, Satoshi Sakuraba, Susumu Yoshida, Shinya Sakai, Kazuki Yoshida

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.4field-weighted citation impact, top 10% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Model-based analysis of stop-signal data reveals robust neural and clinical correlates of evidence accumulation but not inhibition.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026
    Article
  3. Article
  4. 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

9 authors at 2 institutions in 1 country.

Xinyue GaoGraduate School of Health Sciences, Hokkaido University, Sapporo, Japan.
Daisuke SawamuraFaculty of Health Sciences, Hokkaido University, Sapporo, Japan.
Ryuji SaitoGraduate School of Health Sciences, Hokkaido University, Sapporo, Japan.ORCID 0000-0003-1925-7044
Yui MurakamiFaculty of Health Sciences, Hokkaido University, Sapporo, Japan.
Rika YanoFaculty of Health Sciences, Hokkaido University, Sapporo, Japan.
Satoshi SakurabaSchool of Rehabilitation Science, Health Sciences University of Hokkaido, Ishikari, Japan.
Susumu YoshidaSchool of Rehabilitation Science, Health Sciences University of Hokkaido, Ishikari, Japan.ORCID 0000-0002-5135-7507
Shinya SakaiFaculty of Health Sciences, Hokkaido University, Sapporo, Japan.
Kazuki YoshidaFaculty of Health Sciences, Hokkaido University, Sapporo, Japan.ORCID 0000-0002-1701-6274
Sapporo University · JPHealth Sciences University of Hokkaido · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Smoking is a global health risk for premature death and disease. Recently, addictive behaviors, like smoking, were considered to be guided by explicit and implicit processes. The existence of a dissociation between the two attitudes in nonsmokers and the causes of the differences in implicit attitudes toward smoking have not been fully investigated. We investigated the explicit and implicit attitudes toward smoking via a self-reported scale and the single category implicit association test (SC-IAT), respectively, among undergraduate and graduate health sciences students. In addition, we applied the drift-diffusion model (DDM) on the SC-IAT and examined the behavioral characteristics that caused differences in implicit attitude toward smoking between smokers and nonsmokers. The results showed the existence of a dissociation between explicit and implicit attitudes toward smoking among nonsmokers. In addition, nonsmokers had a higher decision threshold than smokers and a higher drift rate in the condition where negative words were associated with smoking. Nonsmokers engaged in SC-IAT with more cautious attitudes and responded more easily in a negative condition since it was consistent with their true attitudes. Conversely, smokers did not show a significant difference in the drift rate between the conditions. These results suggested that the differences in an implicit attitude between smokers and nonsmokers were caused by differences in evidence accumulation speed between the positive and negative conditions. The existence of dissociation between implicit and explicit attitudes toward smoking may indicate the difficulty of measuring true attitude in nonsmokers in a questionnaire survey. Additionally, the DDM results explained the difference of implicit attitude between smokers and nonsmokers; it may provide information on the mechanisms of addictive behaviors and a basis for therapy. However, whether these results are affected by cultural differences requires further investigation.

Indexed as

Non-SmokersSmokersAttitudeHumansSmokingTobacco Smoking

Identifiers

PMID36215275
PMCPMC9550055
OpenAlexW4304092311

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.