Evidence map›Paper›PMID 29133917›Full record

ArticleScientific reports2017

Validation of Self-reported Smoking with Urinary Cotinine Levels and Influence of Second-hand Smoke among Conscripts.

Yu-Lung Chiu, Shu-Jia Huang, Ching-Huang Lai, Chung-Chi Huang, Shiang-Huei Jiang, Shan-Ru Li, Shu-Ling Hwang, Fu-Gong Lin, Ya-Mei Tzeng, Senyeong Kao

Open access · goldAbstract readValidation Study
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.2field-weighted citation impact, top 20% 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

10 citing papers in PubMed, 19 citations in OpenAlex.

  1. Trial
  2. Observational
  3. Article
  4. Article
  5. Tobacco Smoking during Pregnancy: Women's Perception about the Usefulness of Smoking Cessation Interventions.International journal of environmental research and public health · 2022
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. 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

10 authors at 1 institution in 1 country.

Yu-Lung ChiuSchool of Public Health, National Defense Medical Center, Taipei, 114, Taiwan.
Shu-Jia HuangSchool of Public Health, National Defense Medical Center, Taipei, 114, Taiwan.
Ching-Huang LaiSchool of Public Health, National Defense Medical Center, Taipei, 114, Taiwan.
Chung-Chi HuangSchool of Public Health, National Defense Medical Center, Taipei, 114, Taiwan.
Shiang-Huei JiangSchool of Public Health, National Defense Medical Center, Taipei, 114, Taiwan.
Shan-Ru LiGraduate Institute of Life Science, National Defense Medical Center, Taipei, 114, Taiwan.
Shu-Ling HwangCenter for General Education, National Defense Medical Center, Taipei, 114, Taiwan.
Fu-Gong LinSchool of Public Health, National Defense Medical Center, Taipei, 114, Taiwan. fugong@mail.ndmctsgh.edu.tw.
Ya-Mei TzengGraduate Institute of Life Science, National Defense Medical Center, Taipei, 114, Taiwan.
Senyeong KaoSchool of Public Health, National Defense Medical Center, Taipei, 114, Taiwan. kao@ndmctsgh.edu.tw.
National Defense Medical Center · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accurate identification of smoking behaviour is crucial to monitor the smoking rate. This study used urinary cotinine (UC) as a biomarker to verify the effectiveness of self-reported smoking behaviour among conscripts during recruit training. The influence of second-hand smoke (SHS) on the UC concentration was also analysed. A cross-sectional study was conducted from July 2014 to December 2014. The participants comprised a total of 621 military service and basic military training conscripts. A self-administered questionnaire survey and a urine test were performed to verify the participants' smoking behaviour. The UC concentration of 100 ng/mL was adopted as the baseline to identify smokers. A high level of consistency was observed between the conscripts' self-reported results and the results validated by the UC concentrations (the overall kappa coefficient was 0.918). Moreover, the overall sensitivity and specificity were 92.9% and 98.1%, respectively. The sensitivity for the military service conscripts was significantly lower than that for the basic military training conscripts (86.1% vs. 97.5%, P-value = 0.002). For the self-reported nonsmokers among the military service conscripts, SHS exposure was related to their UC concentrations. The method of self-reporting through a questionnaire survey can serve as a tool to assess conscripts' smoking behaviour.

Indexed as

AdultBiomarkersCotinineCross-Sectional StudiesHumansMaleMilitary PersonnelPrevalenceSelf ReportSensitivity and SpecificityTaiwanTobacco Smoke PollutionTobacco SmokingYoung AdultBiomarkersCotinineTobacco Smoke Pollution

Identifiers

PMID29133917
PMCPMC5684204
OpenAlexW2767407128

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.