Evidence map›Paper›PMID 24057999›Full record

ArticleInternational journal of epidemiology2013

Exhaled carbon monoxide and its associations with smoking, indoor household air pollution and chronic respiratory diseases among 512,000 Chinese adults.

Qiuli Zhang, Liming Li, Margaret Smith, Yu Guo, Gary Whitlock, Zheng Bian, Om Kurmi, Rory Collins, Junshi Chen, Silu Lv and 7 more

Abstract read
In one paragraph

Article in International journal of epidemiology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 3 pooled it
–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

35 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  4. Trial
  5. Make your own cigarettes: toxicant exposure, smoking topography, and subjective effects.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2014
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  17. Exhaled Carbon Monoxide Level and Practices among Tobacco and Nicotine Adult Users in Klang Valley, Malaysia.International journal of environmental research and public health · 2023
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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

17 authors.

Qiuli ZhangClinical Trial Service Unit and Epidemiological Studies Unit (CTSU), University of Oxford, Oxford, UK, School of Public Health, Peking University Health Science Center, Beijing, China, Chinese Academy of Medical Sciences, Dong Cheng District, Beijing, China, China National Center For Food Safety Risk Assessment, Chaoyang District, Beijing, China, Licang Center for Disease Control and Prevention, Qingdao, Shandong, China, Heilongjiang Center for Disease Control and Prevention, Harbin, Heilongjiang, China, Meilan Center for Disease Control and Prevention, Haikou, Hainan, China, Guangxi Center for Disease Control and Prevention, Nanning, Guangxi, China and Liuyang Center for Disease Control and Prevention, Changsha, Hunan, China.
Liming Li
Margaret Smith
Yu Guo
Gary Whitlock
Zheng Bian
Om Kurmi
Rory Collins
Junshi Chen
Silu Lv
Zhigang Pang
Chunxing Chen
Naying Chen
Youping Xiong
Richard Peto
Zhengming Chen
China Kadoorie Biobank study collaboration

Funding

British Heart FoundationCancer Research UKMedical Research Council MC_U137686851Wellcome Trust 088158/Z/09/Z
6 · The paper itself

Abstract

backgroundExhaled carbon monoxide (COex) level is positively associated with tobacco smoking and exposure to smoke from biomass/coal burning. Relatively little is known about its determinants in China despite the population having a high prevalence of smoking and use of biomass/coal.

methodsThe China Kadoorie Biobank includes 512,000 participants aged 30-79 years recruited from 10 diverse regions. We used linear regression and logistic regression methods to assess the associations of COex level with smoking, exposures to indoor household air pollution and prevalent chronic respiratory conditions among never smokers, both overall and by seasons, regions and smoking status.

resultsThe overall COex level (ppm) was much higher in current smokers than in never smokers (men: 11.5 vs 3.7; women: 9.3 vs 3.2). Among current smokers, it was higher among those who smoked more and inhaled more deeply. Among never smokers, mean COex was positively associated with levels of exposures to passive smoking and to biomass/coal burning, especially in rural areas and during winter. The odds ratios (OR) and 95% confidence interval (CI) of air flow obstruction (FEV1/FVC ratio<0.7) for never smokers with COex at 7-14 and ≥14 ppm, compared with those having COex<7, were 1.38 (1.31-1.45) and 1.65 (1.52-1.80), respectively (Ptrend<0.001). Prevalence of other self-reported chronic respiratory conditions was also higher among people with elevated COex (P<0.05).

conclusionIn adult Chinese, COex can be used as a biomarker for assessing current smoking and overall exposure to indoor household air pollution in combination with questionnaires.

Indexed as

SmokeAdultAgedAir Pollution, IndoorBiomassBreath TestsCarbon MonoxideChinaCoalCoughEnvironmental ExposureExhalationFemaleHeatingHumansLinear ModelsCarbon MonoxideCoalSmokeTobacco Smoke PollutionChinaepidemiologyExhaled carbon monoxidehousehold air pollutionsmoking

Identifiers

PMID24057999
PMCPMC3807615

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Registered trials

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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.