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      Associations between smoking and caffeine consumption in two European cohorts

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          Abstract

          Aims

          To estimate associations between smoking initiation, smoking persistence and smoking heaviness and caffeine consumption in two population‐based samples from the Netherlands and the United Kingdom.

          Design

          Observational study employing data on self‐reported smoking behaviour and caffeine consumption.

          Setting

          Adults from the general population in the Netherlands and the United Kingdom.

          Participants

          Participants from the Netherlands Twin Register [NTR: n = 21 939, mean age 40.8, standard deviation (SD) = 16.9, 62.6% female] and the Avon Longitudinal Study of Parents and Children (ALSPAC: n = 9086, mean age 33.2, SD = 4.7, 100% female).

          Measurements

          Smoking initiation (ever versus never smoking), smoking persistence (current versus former smoking), smoking heaviness (number of cigarettes smoked) and caffeine consumption in mg per day through coffee, tea, cola and energy drinks.

          Findings

          After correction for age, gender (NTR), education and social class (ALSPAC), smoking initiation was associated with consuming on average 52.8 [95% confidence interval (CI) = 45.6–60.0; NTR] and 59.5 (95% CI = 51.8–67.2; ALSPAC) mg more caffeine per day. Smoking persistence was also associated with consuming more caffeine [+57.9 (95% CI = 45.2–70.5) and +83.2 (95% CI = 70.2–96.3) mg, respectively]. Each additional cigarette smoked per day was associated with 3.7 (95% CI = 1.9–5.5; NTR) and 8.4 (95% CI = 6.9–10.0; ALSPAC) mg higher daily caffeine consumption in current smokers. Smoking was associated positively with coffee consumption and less strongly with cola and energy drinks. For tea, associations were positive in ALSPAC and negative in NTR.

          Conclusions

          There appears to be a positive association between smoking and caffeine consumption in the Netherlands and the United Kingdom.

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          Most cited references21

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          Shape of the relapse curve and long-term abstinence among untreated smokers.

          To describe the relapse curve and rate of long-term prolonged abstinence among smokers who try to quit without treatment. Systematic literature review. Cochrane Reviews, Dissertation Abstracts, Excerpt Medica, Medline, Psych Abstracts and US Center for Disease Control databases plus bibliographies of articles and requests of scientists. Prospective studies of self-quitters or studies that included a no-treatment control group. Two reviewers independently extracted data in a non-blind manner. The number of studies was too small and the data too heterogeneous for meta-analysis or other statistical techniques. There is a paucity of studies reporting relapse curves of self-quitters. The existing eight relapse curves from two studies of self-quitters and five no-treatment control groups indicate most relapse occurs in the first 8 days. These relapse curves were heterogeneous even when the final outcome was made similar. In terms of prolonged abstinence rates, a prior summary of 10 self-quitting studies, two other studies of self-quitters and three no-treatment control groups indicate 3-5% of self-quitters achieve prolonged abstinence for 6-12 month after a given quit attempt. More reports of relapse curves of self-quitters are needed. Smoking cessation interventions should focus on the first week of abstinence. Interventions that produce abstinence rates of 5-10% may be effective. Cessation studies should report relapse curves.
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            Genetic and environmental influences on alcohol, caffeine, cannabis, and nicotine use from early adolescence to middle adulthood.

            While both environmental and genetic factors are important in the etiology of psychoactive substance use (PSU), we know little of how these influences differ through development. To clarify the changing role of genes and environment in PSU from early adolescence through middle adulthood. Retrospective assessment by life history calendar, with univariate and bivariate structural modeling. General community. A total of 1796 members of male-male pairs from the Virginia Adult Twin Study of Psychiatric and Substance Use Disorders. Levels of use of alcohol, caffeine, cannabis, and nicotine recorded for every year of the respondent's life. For nicotine, alcohol, and cannabis, familial environmental factors were critical in influencing use in early adolescence and gradually declined in importance through young adulthood. Genetic factors, by contrast, had little or no influence on PSU in early adolescence and gradually increased in their effect with increasing age. The sources of individual differences in caffeine use changed much more modestly over time. Substantial correlations were seen among levels of cannabis, nicotine, and alcohol use and specifically between caffeine and nicotine. In adolescence, those correlations were strongly influenced by shared effects from the familial environment. However, as individuals aged, more and more of the correlation in PSU resulted from genetic factors that influenced use of both substances. These results support an etiologic model for individual differences in PSU in which initiation and early patterns of use are strongly influenced by social and familial environmental factors while later levels of use are strongly influenced by genetic factors. The substantial correlations seen in levels of PSU across substances are largely the result of social environmental factors in adolescence, with genetic factors becoming progressively more important through early and middle adulthood.
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              Energy drinks, soft drinks, and substance use among United States secondary school students.

              Examine energy drink/shot and regular and diet soft drink use among United States secondary school students in 2010-2011, and associations between such use and substance use.
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                Author and article information

                Journal
                Addiction
                Addiction
                10.1111/(ISSN)1360-0443
                ADD
                Addiction (Abingdon, England)
                John Wiley and Sons Inc. (Hoboken )
                0965-2140
                1360-0443
                27 March 2016
                June 2016
                : 111
                : 6 ( doiID: 10.1111/add.v111.6 )
                : 1059-1068
                Affiliations
                [ 1 ] Department of Biological PsychologyVU University Amsterdam Amsterdamthe Netherlands
                [ 2 ] EMGO+ Institute for Health and Care ResearchVU University Medical Center Amsterdamthe Netherlands
                [ 3 ] UK Centre for Tobacco and Alcohol Studies, School of Experimental PsychologyUniversity of Bristol BristolUK
                [ 4 ]MRC Integrative Epidemiology Unit at the University of Bristol BristolUK
                [ 5 ] School of Social and Community MedicineUniversity of Bristol BristolUK
                [ 6 ] Neuroscience Campus AmsterdamVU University Medical Center Amsterdamthe Netherlands
                Author notes
                [*] [* ] Correspondence to: Jorien L. Treur, Department of Biological Psychology, VU University Amsterdam, Van der Boechorstraat 1, 1081 BT Amsterdam, the Netherlands. E‐mail: jorientreur@ 123456gmail.com
                [*]

                Shared last authorship

                Article
                ADD13298 ADD-15-0739.R1
                10.1111/add.13298
                4879503
                26750569
                e6aafa11-ad89-4fe8-8fbb-d35419839d3e
                © 2016 The Authors. Addiction published by John Wiley & Sons Ltd on behalf of Society for the Study of Addiction

                This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 11 August 2015
                : 02 November 2015
                : 06 January 2016
                Page count
                Pages: 10
                Categories
                Research Report
                Research Reports
                Custom metadata
                2.0
                add13298
                June 2016
                Converter:WILEY_ML3GV2_TO_NLMPMC version:4.9.1 mode:remove_FC converted:21.06.2016

                Clinical Psychology & Psychiatry
                alspac,caffeine,coffee,ntr,smoking
                Clinical Psychology & Psychiatry
                alspac, caffeine, coffee, ntr, smoking

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