Evidence map›Paper›PMID 27068329›Full record

ArticleBMC public health2016

The association of cigarette smoking and alcohol drinking with body mass index: a cross-sectional, population-based study among Chinese adult male twins.

Chunxiao Liao, Wenjing Gao, Weihua Cao, Jun Lv, Canqing Yu, Shengfeng Wang, Bin Zhou, Zengchang Pang, Liming Cong, Zhong Dong and 7 more

Open access · goldAbstract readTwin Study
In one paragraph

Article in BMC public health, 2016. 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
3.0field-weighted citation impact, top 8% 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

18 citing papers in PubMed, 2 syntheses or guidelines pooled it, 35 citations in OpenAlex.

  1. Pooled it
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  4. The Association Between SerumInternational journal of endocrinology · 2026
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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 at 10 institutions in 1 country.

Chunxiao LiaoDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, 100191, China.
Wenjing GaoDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, 100191, China. gaowenjing1979@gmail.com.
Weihua CaoDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, 100191, China.
Jun LvDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, 100191, China.
Canqing YuDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, 100191, China.
Shengfeng WangDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, 100191, China.
Bin ZhouDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, 100191, China.
Zengchang PangQingdao Center for Diseases Control and Prevention, Qingdao, 266033, China.
Liming CongZhejiang Center for Disease Control and Prevention, Hangzhou, 310051, China.
Zhong DongBeijing Center for Disease Control and Prevention, Beijing, 100013, China.
Fan WuShanghai Center for Disease Control and Prevention, Shanghai, 200336, China.
Hua WangJiangsu Center for Disease Control and Prevention, Nanjing, 210009, China.
Xianping WuSichuan Center for Disease Control and Prevention, Chengdu, 610041, China.
Guohong JiangTianjin Center for Disease Control and Prevention, Tianjin, 300011, China.
Xiaojie WangQinghai Center for Disease Control and Prevention, Xining, 810007, China.
Binyou WangHarbin Medical University, Harbin, 150081, China.
Liming LiDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, 100191, China. lmlee@vip.163.com.
Peking University · CNZhejiang Center for Disease Control and Prevention · CNBeijing Center for Disease Prevention and Control · CNHarbin Medical University · CNJiangsu Provincial Center for Disease Control and Prevention · CNQingdao Municipal Center for Disease Control and Prevention · CNQinghai Institute for Endemic Diease Prevention and Control · CNShanghai Municipal Center For Disease Control Prevention · CNSichuan Center for Disease Control and Prevention · CNTianjin Centers for Disease Control and Prevention · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundObesity is a multifactorial abnormality which has an underlying genetic control but requires environmental influences to trigger. Numerous epidemiological studies have examined the roles of physical inactivity and dietary factors in obesity development. Interactions between obesity-related genes and these lifestyles have also been confirmed. However, less attention has been paid to these complex relationship between cigarette smoking, alcohol drinking and obesity. The purpose of this study was to assess whether cigarette smoking and alcohol drinking were associated with body mass index (BMI), and whether these lifestyle factors modified the genetic variance of BMI.

methodsSubjects were twins recruited through the Chinese National Twin Registry, aged 18 to 79 years, and the sample comprised 6121 complete male twin pairs. Information on height, weight, cigarette smoking and alcohol drinking status were assessed with self-report questionnaires. The associations of cigarette smoking and alcohol drinking with BMI were evaluated by linear regression models. Further, structure equation models were conducted to estimate whether cigarette smoking and alcohol drinking status modified the degree of genetic variance of BMI.

resultsAfter adjustment for a variety of socio-demographic and lifestyle factors, former smokers had higher BMI (β = 0.475; 95 % CI, 0.196 to 0.754) whereas moderate to heavy smokers had lower BMI (β = -0.115; 95 % CI, -0.223 to -0.007) when compared with nonsmokers. BMI decreased with increased cigarette pack-years (β = -0.008; 95 % CI, -0.013 to -0.003). These effects still existed substantially in within-MZ twin pair analyses. By contrast, current alcohol drinking had no significant influence on BMI when additionally controlled for shared factors in within-pair analyses. Genetic modification by alcohol drinking was statistically significant for BMI (β = -0.137; 95 % CI, -0.215 to -0.058), with the intake of alcohol decreasing the additive genetic component of BMI.

conclusionsCigarette smoking was negatively associated with BMI independent of genetic influences. The influence of genes on BMI was moderated by alcohol drinking, such that for individuals who were regular drinkers, genetic factors became less influential. Our findings highlight gene-alcohol interaction in finding candidate genes of BMI and elucidating the etiological factors of obesity.

Indexed as

Body Mass IndexTwinsAdolescentAdultAgedAlcohol DrinkingChinaCross-Sectional StudiesHumansLife StyleMaleMiddle AgedObesityRegistriesRisk FactorsSmokingAlcohol drinkingBody mass indexGene-environment interactionSmokingTwin studies

Identifiers

PMID27068329
PMCPMC4827244
OpenAlexW2333882175

What OpenQuestion holds

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LicenceCC BY
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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.