Evidence map›Paper›PMID 30872597›Full record

ArticleScientific reports2019

The associations between smoking and obesity in northeast China: a quantile regression analysis.

Mengzi Sun, Yan Jiang, Chong Sun, Jiagen Li, Xin Guo, Yaogai Lv, Yaqin Yu, Yan Yao, Lina Jin

Abstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 2 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

18 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Smoking Prevalence among Physicians: A Systematic Review and Meta-Analysis.International journal of environmental research and public health · 2021
    Pooled it
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  18. Ultrastructural changes of lung tissue under conditions of experimental obesity and smoking.Romanian journal of morphology and embryology = Revue roumaine de morphologie et embryologie
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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

9 authors.

Mengzi SunDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, Jilin, China.
Yan JiangDepartment of Biostatistics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA.
Chong SunDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, Jilin, China.
Jiagen LiDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, Jilin, China.
Xin GuoDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, Jilin, China.
Yaogai LvDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, Jilin, China.
Yaqin YuDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, Jilin, China.
Yan YaoDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, Jilin, China. yaoyan@jlu.edu.cn.
Lina JinDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, Jilin, China. jinln@jlu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Obesity is a risk factors of chronic diseases, and smoking is associated with both chronic diseases and obesity. There were some controversies about the associations between smoking and obesity. Thus, our study aimed to explore the associations of smoking with obesity, using body mass index (BMI) and waist circumference (WC) as obesity indices in northeast China. We enrolled a sample of 16,412 participants in Jilin province aged 18-79 in this study, which were derived from a cross-sectional survey in 2012. We used quantile regression (QR) models to identify the associations of smoking with obesity in different quantiles of BMI (or WC) by genders. The differences of BMI and WC by genders were statistically significant (p < 0.05). In conclusion, compared with current non-smokers, current smokers had lower BMI but higher WC. As increasing of WC, the association of WC with smoking was getting stronger, especially in females.

Indexed as

AdolescentAdultAgedAged, 80 and overBody Mass IndexChinaCross-Sectional StudiesFemaleHumansMaleMiddle AgedObesityRegression AnalysisRisk FactorsTobacco SmokingWaist Circumference

Identifiers

PMID30872597
PMCPMC6418137

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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.