Evidence map›Paper›PMID 23572373›Full record

ArticleAsia-Pacific journal of public health2015

Smoking intensity among male factory workers in Kunming, China.

Kai-Wen Cheng, Janice Y Tsoh, Wenlong Cui, Xiaoliang Li, Matthew Kohrman

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Asia-Pacific journal of public health, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 40% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Review
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 4 institutions in 3 countries.

Kai-Wen ChengNational Taiwan University, Taipei, Taiwan.
Janice Y TsohUniversity of California, San Francisco, CA, USA.
Wenlong CuiKunming Medical University, Kunming, China.
Xiaoliang LiKunming Medical University, Kunming, China.
Matthew KohrmanStanford University, Stanford, CA, USA kohrman@stanford.edu.
Kunming Medical University · CNNational Taiwan University · TWStanford University · USUniversity of California, San Francisco · US

Funding

TREATMENTS FOR COMPLEX PATIENTS IN NEW SETTINGSP50DA009253 · NIDA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI SORENSEN, JAMES L · 1994 to 2014
$28.2M
Postdoctoral training in tobacco controlR25CA113710 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GLANTZ, STANTON ARNOLD · 2006 to 2015
$5.4M
Postdoctoral training in tobacco controlT32CA113710 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI LING, PAMELA MAY · 2016 to 2020
$2.6M
Learning from Others: Smoking Cessation in Urban ChinaK07CA093605 · NCI · STANFORD UNIVERSITY · PI KOHRMAN, MATTHEW K · 2003 to 2007
$694k
TREATING CHINESE SMOKERS WITH INTERACTIVE EXPERT SYSTEMSK23DA000468 · NIDA · UNIVERSITY OF CALIFORNIA SAN FRANCISCO · PI TSOH, JANICE Y. · 2000 to 2004
$654k
NCI NIH HHS 5R25CA113710NCI NIH HHS K07 CA093605NCI NIH HHS K07CA093605NCI NIH HHS R25 CA113710NCI NIH HHS T32 CA113710NIDA NIH HHS 5K23DA000468NIDA NIH HHS K23 DA000468NIDA NIH HHS P50 DA009253NIDA NIH HHS P50DA009253
6 · The paper itself

Abstract

introductionThis study investigated the intensity of cigarette consumption and its correlates in China among urban male factory workers, a cohort especially vulnerable to tobacco exposure, one that appears to have benefitted little from recent public health efforts to reduce smoking rates.

methodsData were collected from men working in factories of Kunming city, Yunnan, China, who are current daily smokers (N = 490). A multinomial logistic regression was conducted to examine the factors in association with smoking intensity in light, moderate, and heavy levels.

resultsLight smoking correlated with social smoking, smoking the first cigarette later in the day, self-reported health condition, and quit intention. Heavy smoking was associated with purchase of lower priced cigarettes, difficulty refraining from smoking, and prehypertensive blood pressure.

conclusionEven in regions where smoking is highly prevalent, even among cohorts who smoke heavily, variation exists in how cigarettes are consumed. Analyses of this consumption, with special consideration given to smoking intensity and its correlates, can help guide tobacco-control strategists in developing more effective interventions.

Indexed as

AdultAgedChinaCommerceHealth StatusHumansLogistic ModelsMaleMental HealthMiddle AgedPrevalenceSmokingTobacco Use DisorderUrban PopulationYoung Adultpro-tobacco environmentsmoking intensitytobacco control in China

Identifiers

PMID23572373
PMCPMC4167973
OpenAlexW2150929518

What OpenQuestion holds

Textmetadata
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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.