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      Underweight, overweight, and tobacco use among adolescents aged 12–15 years: Evidence from 23 low-income and middle-income countries

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          Abstract

          INTRODUCTION

          Compared with the number of studies in adults, body weight in relation to tobacco use has been understudied in the adolescent population. This study aimed to examine the association between underweight, overweight and tobacco use in low- and middle-income countries.

          METHODS

          Data were derived from the Global School-Based Student Health Survey (GSHS). Data from 71176 adolescents aged 12–15 years residing in 23 countries were analyzed. The Centers for Disease Control and Prevention (CDC) 2000 growth charts were used to identify underweight, normal weight, and overweight/ obesity. Weighted age- and gender-adjusted prevalence of weight categories and tobacco use was calculated. Multivariate logistic regression analysis was performed to estimate the association between weight categories and tobacco use for each country, controlling for covariates. Pooled odds ratios and confidence intervals were computed using random- or fixed-effects meta-analyses.

          RESULTS

          A significant association between weight categories and tobacco use was evident in only a few countries. Adolescents reporting tobacco use in French Polynesia, Suriname, and Indonesia, had 72% (95% CI: 0.15–0.56), 55% (95% CI: 0.24–0.84), and 24% (95% CI: 0.61–0.94) lower odds of being underweight, respectively. Adolescents reporting tobacco use in Uganda, Algeria, and Namibia, had 2.30 (95% CI: 1.04–5.09), 1.71 (95% CI: 1.25–2.34), and 1.45 (95% CI: 1.00–2.12) times greater odds of being overweight/obese, but those in Indonesia and Malaysia had 33% (95% CI: 0.50–0.91) and 16% (95% CI: 0.73–0.98) lower odds of being overweight/obese.

          CONCLUSIONS

          The association between tobacco use and BMI categories is likely to be different among adolescents versus adults. Associating tobacco use with being thin may be more myth than fact and should be emphasized in tobacco prevention programs targeting adolescents.

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          Most cited references50

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          Measuring inconsistency in meta-analyses.

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            Principled missing data methods for researchers

            The impact of missing data on quantitative research can be serious, leading to biased estimates of parameters, loss of information, decreased statistical power, increased standard errors, and weakened generalizability of findings. In this paper, we discussed and demonstrated three principled missing data methods: multiple imputation, full information maximum likelihood, and expectation-maximization algorithm, applied to a real-world data set. Results were contrasted with those obtained from the complete data set and from the listwise deletion method. The relative merits of each method are noted, along with common features they share. The paper concludes with an emphasis on the importance of statistical assumptions, and recommendations for researchers. Quality of research will be enhanced if (a) researchers explicitly acknowledge missing data problems and the conditions under which they occurred, (b) principled methods are employed to handle missing data, and (c) the appropriate treatment of missing data is incorporated into review standards of manuscripts submitted for publication.
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              Development of a WHO growth reference for school-aged children and adolescents.

              To construct growth curves for school-aged children and adolescents that accord with the WHO Child Growth Standards for preschool children and the body mass index (BMI) cut-offs for adults. Data from the 1977 National Center for Health Statistics (NCHS)/WHO growth reference (1-24 years) were merged with data from the under-fives growth standards' cross-sectional sample (18-71 months) to smooth the transition between the two samples. State-of-the-art statistical methods used to construct the WHO Child Growth Standards (0-5 years), i.e. the Box-Cox power exponential (BCPE) method with appropriate diagnostic tools for the selection of best models, were applied to this combined sample. The merged data sets resulted in a smooth transition at 5 years for height-for-age, weight-for-age and BMI-for-age. For BMI-for-age across all centiles the magnitude of the difference between the two curves at age 5 years is mostly 0.0 kg/m(2) to 0.1 kg/m(2). At 19 years, the new BMI values at +1 standard deviation (SD) are 25.4 kg/m(2) for boys and 25.0 kg/m(2) for girls. These values are equivalent to the overweight cut-off for adults (> or = 25.0 kg/m(2)). Similarly, the +2 SD value (29.7 kg/m(2) for both sexes) compares closely with the cut-off for obesity (> or = 30.0 kg/m(2)). The new curves are closely aligned with the WHO Child Growth Standards at 5 years, and the recommended adult cut-offs for overweight and obesity at 19 years. They fill the gap in growth curves and provide an appropriate reference for the 5 to 19 years age group.
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                Author and article information

                Journal
                Tob Induc Dis
                Tob Induc Dis
                TID
                Tobacco Induced Diseases
                European Publishing on behalf of the International Society for the Prevention of Tobacco Induced Diseases (ISPTID)
                2070-7266
                1617-9625
                12 May 2021
                2021
                : 19
                : 37
                Affiliations
                [1 ]School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China
                Author notes
                CORRESPONDENCE TO Qian Wang. School of Public Health, Shanghai Jiao Tong University School of Medicine, 227 S Chongqing Rd, Huangpu District, Shanghai 200025, China. E-mail: qian.wang@ 123456shsmu.edu.cn ORCID ID: https://orcid.org/0000-0002-4713-5557
                Article
                37
                10.18332/tid/133932
                8114737
                34017231
                7830be31-7ab4-496e-88e9-6bdeaa07e271
                © 2021 Wang Q.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution 4.0 International License.

                History
                : 28 November 2020
                : 08 February 2021
                : 03 March 2021
                Categories
                Research Paper

                Respiratory medicine
                underweight,overweight,tobacco use,adolescents,low- and middle-income countries

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