Evidence map›Paper›PMID 26761019›Full record

ArticleInternational journal of environmental research and public health2016

Unemployment Rate, Smoking in China: Are They Related?

Qing Wang, Jay J Shen, Chris Cochran

Open access · goldAbstract readComparative Study
In one paragraph

Article in International journal of environmental research and public health, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
7.0field-weighted citation impact, top 4% 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

12 citing papers in PubMed, 31 citations in OpenAlex.

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  10. Changes in Smoking Behaviors following Exposure to Health Shocks in China.International journal of environmental research and public health · 2018
    Article
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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

3 authors at 2 institutions in 2 countries.

Qing WangSchool of Business, Dalian University of Technology, Panjin 124221, China. wangqing1984@126.com.
Jay J ShenSchool of Community Health Sciences, University of Nevada Las Vegas, Las Vegas, NV 89103, USA. jay.shen@unlv.edu.
Chris CochranDepartment of Health Care Administration, University of Nevada Las Vegas, Las Vegas, NV 89103, USA. chris.cochran@unlv.edu.
University of Nevada, Las Vegas · USDalian University of Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundStudies on the relationship between unemployment rate and smoking have yielded mixed results. The issue in China has not been studied. This study aims to examine the influence of unemployment rate on smoking in China.

methodsLogit model and two-stage least squares (2SLS) estimation were used to estimate the effects. Estimations were done for 4585 individual over 45 using data from China Health and Retirement Longitudinal Study conducted in Zhejiang and Gansu provinces in 2008 and 2012.

resultsA percent increase in the unemployment rate resulted in the increase in the likelihood of smoking by a combined 9.1 percent for those who smoked including a 2.9% increase for those who smoked 1-10 cigarettes per day; a 2.8% increase for those who smoked 11-20 cigarettes per day; and a 3.4% increase for those who smoked 20 cigarettes or more per day. The effects were stronger for those who were employed. Non-drinkers were more likely to engage in smoking with increased unemployment rate. 2SLS estimation revealed the same association.

conclusionsThe unemployment rate was positively associated with smoking behavior. Smoking control and intervention strategies should focus on both the individual's characteristics and the physical environment in which unemployment rate tend to rise.

Indexed as

AgedAged, 80 and overAge FactorsAttitude to HealthChinaEmploymentFemaleHumansLogistic ModelsLongitudinal StudiesMaleMiddle AgedRetirementRural PopulationSex FactorsSmokingChinacurrent smokernumber of cigarettes smoked dailyunemployment rate

Identifiers

PMID26761019
PMCPMC4730504
OpenAlexW2228437699

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.