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      A systematic review of the prevalence and risk factors of smoking among Saudi adolescents

      review-article
      , BN, MN, , MPH, PhD, , BN (Hons), PhD, , MNSt, PhD
      Saudi Medical Journal
      Saudi Medical Journal

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          Abstract

          Objectives:

          To systemically review the evidence concerning the prevalence and reported risk factors of smoking among adolescents in Saudi Arabia.

          Methods:

          Following the PRISMA guidelines, studies that examined the prevalence and risk factors of smoking among adolescents in Saudi Arabia were identified through a computerized literature search using the following databases up to March 2018: PubMed, SCOPUS, Web of Science, and BIOSIS. The following search terms were used: smoking OR smok* OR tobacco OR cigar* OR shisha OR shesha OR sheesha AND Saudi Arabia OR KSA. Peer-reviewed articles published within the period from 2007 to 2018 were selected. Studies that reported prevalence data, patterns, and risk factors of smoking among adolescents were included. Extracted data from each study were tabulated, and data were narratively synthesized.

          Results:

          Thirty-two studies that reported the prevalence of smoking in the adolescent age group were included in the narrative evidence synthesis. These studies were conducted on secondary school students (n=11), college students (n=14), and an adolescent age group without educational specifications (n=7). According to published reports between 2007 and 2018, the prevalence of tobacco smoking among adolescents in Saudi Arabia ranged from 2.4% to 39.6%. Influence of friends, and family negligence were the most commonly reported risk factors for smoking.

          Conclusion:

          The prevalence of smoking is relatively high among adolescents in Saudi Arabia. The social influence of friends, teachers or parents, low academic performance, having spare time, living away from home, and the desire to relieve stress were the most commonly reported risk factors for smoking.

          PROSPERO REG. NO: CRD: 42018108053

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          Most cited references60

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          Meta-analysis of observational studies in epidemiology: a proposal for reporting. Meta-analysis Of Observational Studies in Epidemiology (MOOSE) group.

          Because of the pressure for timely, informed decisions in public health and clinical practice and the explosion of information in the scientific literature, research results must be synthesized. Meta-analyses are increasingly used to address this problem, and they often evaluate observational studies. A workshop was held in Atlanta, Ga, in April 1997, to examine the reporting of meta-analyses of observational studies and to make recommendations to aid authors, reviewers, editors, and readers. Twenty-seven participants were selected by a steering committee, based on expertise in clinical practice, trials, statistics, epidemiology, social sciences, and biomedical editing. Deliberations of the workshop were open to other interested scientists. Funding for this activity was provided by the Centers for Disease Control and Prevention. We conducted a systematic review of the published literature on the conduct and reporting of meta-analyses in observational studies using MEDLINE, Educational Research Information Center (ERIC), PsycLIT, and the Current Index to Statistics. We also examined reference lists of the 32 studies retrieved and contacted experts in the field. Participants were assigned to small-group discussions on the subjects of bias, searching and abstracting, heterogeneity, study categorization, and statistical methods. From the material presented at the workshop, the authors developed a checklist summarizing recommendations for reporting meta-analyses of observational studies. The checklist and supporting evidence were circulated to all conference attendees and additional experts. All suggestions for revisions were addressed. The proposed checklist contains specifications for reporting of meta-analyses of observational studies in epidemiology, including background, search strategy, methods, results, discussion, and conclusion. Use of the checklist should improve the usefulness of meta-analyses for authors, reviewers, editors, readers, and decision makers. An evaluation plan is suggested and research areas are explored.
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            Smoking prevalence and cigarette consumption in 187 countries, 1980-2012.

            Tobacco is a leading global disease risk factor. Understanding national trends in prevalence and consumption is critical for prioritizing action and evaluating tobacco control progress. To estimate the prevalence of daily smoking by age and sex and the number of cigarettes per smoker per day for 187 countries from 1980 to 2012. Nationally representative sources that measured tobacco use (n = 2102 country-years of data) were systematically identified. Survey data that did not report daily tobacco smoking were adjusted using the average relationship between different definitions. Age-sex-country-year observations (n = 38,315) were synthesized using spatial-temporal gaussian process regression to model prevalence estimates by age, sex, country, and year. Data on consumption of cigarettes were used to generate estimates of cigarettes per smoker per day. Modeled age-standardized prevalence of daily tobacco smoking by age, sex, country, and year; cigarettes per smoker per day by country and year. Global modeled age-standardized prevalence of daily tobacco smoking in the population older than 15 years decreased from 41.2% (95% uncertainty interval [UI], 40.0%-42.6%) in 1980 to 31.1% (95% UI, 30.2%-32.0%; P < .001) in 2012 for men and from 10.6% (95% UI, 10.2%-11.1%) to 6.2% (95% UI, 6.0%-6.4%; P < .001) for women. Global modeled prevalence declined at a faster rate from 1996 to 2006 (mean annualized rate of decline, 1.7%; 95% UI, 1.5%-1.9%) compared with the subsequent period (mean annualized rate of decline, 0.9%; 95% UI, 0.5%-1.3%; P = .003). Despite the decline in modeled prevalence, the number of daily smokers increased from 721 million (95% UI, 700 million-742 million) in 1980 to 967 million (95% UI, 944 million-989 million; P < .001) in 2012. Modeled prevalence rates exhibited substantial variation across age, sex, and countries, with rates below 5% for women in some African countries to more than 55% for men in Timor-Leste and Indonesia. The number of cigarettes per smoker per day also varied widely across countries and was not correlated with modeled prevalence. Since 1980, large reductions in the estimated prevalence of daily smoking were observed at the global level for both men and women, but because of population growth, the number of smokers increased significantly. As tobacco remains a threat to the health of the world's population, intensified efforts to control its use are needed.
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              Smoking in Saudi Arabia.

              This article reviewed the literature on the epidemiology, consumption, trade, control, prevention, and treatment of tobacco smoking in Saudi Arabia. The prevalence of current smoking in Saudi Arabia ranges from 2.4-52.3% (median = 17.5%). Among school students, the prevalence of current smoking ranges from 12-29.8% (median = 16.5%), among university students from 2.4-37% (median = 13.5%), and among adults from 11.6-52.3% (median = 22.6%). In elderly people, the prevalence of current smoking is 25%. The prevalence of smoking in males ranges from 13-38% (median = 26.5%), while in females it ranges from 1-16% (median = 9%). To conclude, smoking is prevalent in the Saudi population at different age groups. The prevalence of current smoking is much higher in males than in females at different ages. More research is needed in the area of prevention and treatment of smoking.
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                Author and article information

                Journal
                Saudi Med J
                Saudi Med J
                Saudi Medical Journal
                Saudi Medical Journal (Saudi Arabia )
                0379-5284
                1658-3175
                September 2019
                : 40
                : 9
                : 867-878
                Affiliations
                [1] From the College of Public Health and Health Informatics (Alasqah, Mahmud), Qassim University, Bukayriah, Qassim, Kingdom of Saudi Arabia, and from the School of Health (Alasqah, Mahmud, East, Usher), University of New England, Armidale, NSW, Australia
                Author notes
                Address correspondence and reprint request to: Dr. Ibrahim A. Alasqah, College of Public Health and Health Informatics, Qassim University, Qassim, Kingdom of Saudi Arabia. E-mail: i.alasqah@ 123456gmail.com ORCID ID: https://orcid.org/0000-0002-0316-1374
                Article
                SaudiMedJ-40-867
                10.15537/smj.2019.9.24477
                6790477
                31522213
                63d8ed9f-dad4-46c1-9be9-e7aa3e97ebc9
                Copyright: © Saudi Medical Journal

                This is an open-access article distributed under the terms of the Creative Commons Attribution-Noncommercial License (CC BY-NC), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 18 May 2019
                : 08 August 2019
                Categories
                Systematic Review

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