Role of obesity in smoking behaviour: Mendelian randomisation study in UK Biobank

被引:120
作者
Carreras-Torres, Robert [1 ]
Johansson, Mattias [1 ]
Haycock, Philip C. [2 ]
Relton, Caroline L. [2 ]
Smith, George Davey [2 ]
Brennan, Paul [1 ]
Martin, Richard M. [3 ,4 ,5 ]
机构
[1] Int Agcy Res Canc, Sect Genet, Lyon, France
[2] Univ Bristol, Sch Social & Community Med, MRC, Integrat Epidemiol Unit, Bristol, Avon, England
[3] Univ Bristol, Bristol Med Sch, Dept Populat Hlth Sci, Bristol, Avon, England
[4] Univ Hosp Bristol NHS Fdn Trust, Biomed Res Ctr, Natl Inst Hlth Res, Bristol, Avon, England
[5] Univ Bristol, Bristol, Avon, England
来源
BMJ-BRITISH MEDICAL JOURNAL | 2018年 / 361卷
基金
英国医学研究理事会;
关键词
BODY-MASS INDEX; FAT DISTRIBUTION; ADDICTION; POPULATION; OVERLAPS; BIOLOGY;
D O I
10.1136/bmj.k1767
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
OBJECTIVE To determine whether body mass index, body fat percentage, and waist circumference influence smoking status and intensity. DESIGN Mendelian randomisation study. SETTING UK Biobank, with replication of results from the Tobacco and Genetics (TAG) consortium. PARTICIPANTS European descent participants from the UK Biobank cohort (n=372 791) and the TAG consortium (n= 74 035). MAIN OUTCOME MEASURES Risk of current and past smoking, number of cigarettes smoked per day, age of smoking initiation. RESULTS The Mendelian randomisation analysis indicated that each standard deviation increment in body mass index (4.6) increased the risk of being a smoker (odds ratio 1.18 (95% confidence interval 1.13 to 1.23), P<0.001). This association was replicated in the TAG consortium data (1.19 (1.06 to 1.33), P=0.003). Furthermore, each standard deviation increment in body mass index was estimated to increase smoking intensity by 0.88 cigarettes per day (95% confidence interval 0.50 to 1.26, P<0.001) in UK Biobank and 1.27 cigarettes per day in the TAG consortium (0.46 to 2.07, P=0.002). Similar results were also seen for body fat percentage and waist circumference in both UK Biobank and the TAG consortium data. CONCLUSIONS These results strongly suggest that higher adiposity influences smoking behaviour and could have implications for the implementation of public health interventions aiming to reduce the prevalence of these important risk factors.
引用
收藏
页数:8
相关论文
共 37 条
[1]  
Angrist JD, 1996, J AM STAT ASSOC, V91, P444, DOI 10.2307/2291629
[2]   Assessing the suitability of summary data for two-sample Mendelian randomization analyses using MR-Egger regression: the role of the I2 statistic [J].
Bowden, Jack ;
Del Greco, Fabiola M. ;
Minelli, Cosetta ;
Smith, George Davey ;
Sheehan, Nuala A. ;
Thompson, John R. .
INTERNATIONAL JOURNAL OF EPIDEMIOLOGY, 2016, 45 (06) :1961-1974
[3]   Consistent Estimation in Mendelian Randomization with Some Invalid Instruments Using a Weighted Median Estimator [J].
Bowden, Jack ;
Smith, George Davey ;
Haycock, Philip C. ;
Burgess, Stephen .
GENETIC EPIDEMIOLOGY, 2016, 40 (04) :304-314
[4]   Beyond Mendelian randomization: how to interpret evidence of shared genetic predictors [J].
Burgess, Stephen ;
Butterworth, Adam S. ;
Thompson, John R. .
JOURNAL OF CLINICAL EPIDEMIOLOGY, 2016, 69 :208-216
[6]   Mendelian Randomization Analysis With Multiple Genetic Variants Using Summarized Data [J].
Burgess, Stephen ;
Butterworth, Adam ;
Thompson, Simon G. .
GENETIC EPIDEMIOLOGY, 2013, 37 (07) :658-665
[7]   Cigarette smoking and fat distribution in 21,828 British men and women: A population-based study [J].
Canoy, D ;
Wareham, N ;
Luben, R ;
Welch, A ;
Bingham, S ;
Day, N ;
Khaw, KT .
OBESITY RESEARCH, 2005, 13 (08) :1466-1475
[8]  
Collins R, 2012, LANCET, V379, P1173, DOI [10.1016/S0140-6736(16)31357-5, 10.1016/S0140-6736(12)60404-8]
[9]   The neurobiological and behavioral overlaps of nicotine and food addiction [J].
Criscitelli, Kristen ;
Avena, Nicole M. .
PREVENTIVE MEDICINE, 2016, 92 :82-89
[10]  
Dare S, 2017, PLOS ONE, V12, DOI [10.1371/journal.one.0172076, 10.1371/journal.pone.0172076]