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      Trends of maternal waterpipe, cigarettes, and dual tobacco smoking in Jordan. A decade of lost opportunities

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      PLoS ONE
      Public Library of Science

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          Abstract

          Background

          Maternal tobacco use is a global public health problem. In the literature, the focus was mainly on cigarette smoking, minimally on waterpipe use, and totally ignored dual use among pregnant women. We estimated the prevalence of current maternal tobacco use by tobacco product (cigarette, waterpipe, and dual use) over a period of ten years (2007 to 2017), and examined the socio-demographic patterning of maternal tobacco use.

          Methods

          A secondary analysis of Jordan DHS four data waves was conducted for women who reported to be pregnant at the time of the survey. Current cigarette and waterpipe tobacco use were investigated. Prevalence estimates for cigarette-only, waterpipe-only, and dual use, as well as for cigarette, regardless of waterpipe, and waterpipe, regardless of cigarette, were reported. The effect of independent variables on cigarette smoking, waterpipe use, and dual use was assessed. Logistic regression models assessed the adjusted effects of socio-demographic variables on cigarette smoking, waterpipe use, and on dual use. For each outcome variable, a time-adjusted and a time-unadjusted logistic models were conducted.

          Results

          Over the last decade, the prevalence estimates of current cigarette-only smoking slightly decreased. The prevalence estimates of current waterpipe-only use exceeded those for cigarette-only after 2007 and showed a steady overall increase. Current dual use showed a continuous rise especially after 2009. Gradual increase in cigarette smoking (4.1%, in 2007, and 5.7% in 2017) and in waterpipe use (2.5% to 6.4%) were detected. Education showed an inverse relationship with cigarette and waterpipe smoking. Household wealth demonstrated a positive association with cigarette and waterpipe smoking.

          Conclusions

          Tobacco use epidemic is expanding its roots among pregnant women in Jordan through not only waterpipe use but also dual cigarette–waterpipe smoking. Maternal and child services should consider tobacco counseling and cessation.

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          Most cited references63

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          Multicollinearity and misleading statistical results

          Jong Kim (2019)
          Multicollinearity represents a high degree of linear intercorrelation between explanatory variables in a multiple regression model and leads to incorrect results of regression analyses. Diagnostic tools of multicollinearity include the variance inflation factor (VIF), condition index and condition number, and variance decomposition proportion (VDP). The multicollinearity can be expressed by the coefficient of determination (Rh 2) of a multiple regression model with one explanatory variable (Xh ) as the model’s response variable and the others (Xi [i≠h] as its explanatory variables. The variance (σh 2) of the regression coefficients constituting the final regression model are proportional to the VIF ( 1 1 - R h 2 ) . Hence, an increase in Rh 2 (strong multicollinearity) increases σh 2. The larger σh 2 produces unreliable probability values and confidence intervals of the regression coefficients. The square root of the ratio of the maximum eigenvalue to each eigenvalue from the correlation matrix of standardized explanatory variables is referred to as the condition index. The condition number is the maximum condition index. Multicollinearity is present when the VIF is higher than 5 to 10 or the condition indices are higher than 10 to 30. However, they cannot indicate multicollinear explanatory variables. VDPs obtained from the eigenvectors can identify the multicollinear variables by showing the extent of the inflation of σh 2 according to each condition index. When two or more VDPs, which correspond to a common condition index higher than 10 to 30, are higher than 0.8 to 0.9, their associated explanatory variables are multicollinear. Excluding multicollinear explanatory variables leads to statistically stable multiple regression models.
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            The effects of waterpipe tobacco smoking on health outcomes: a systematic review.

            There is a need for a comprehensive and critical review of the literature to inform scientific debates about the public health effects of waterpipe smoking. The objective of this study was therefore to systematically review the medical literature for the effects of waterpipe tobacco smoking on health outcomes. We conducted a systematic review using the Cochrane Collaboration methodology for conducting systematic reviews. We rated the quality of evidence for each outcome using the Grading of Recommendations Assessment, Development and Evaluation (GRADE) methodology. Twenty-four studies were eligible for this review. Based on the available evidence, waterpipe tobacco smoking was significantly associated with lung cancer [odds ratio (OR) = 2.12; 95% confidence interval (CI) 1.32-3.42], respiratory illness (OR = 2.3; 95% CI 1.1-5.1), low birth-weight (OR = 2.12; 95% CI 1.08-4.18) and periodontal disease (OR = 3-5). It was not significantly associated with bladder cancer (OR = 0.8; 95% CI 0.2-4.0), nasopharyngeal cancer (OR = 0.49; 95% CI 0.20-1.23), oesophageal cancer (OR = 1.85; 95% CI 0.95-3.58), oral dysplasia (OR = 8.33; 95% CI 0.78-9.47) or infertility (OR = 2.5; 95% CI 1.0-6.3) but the CIs did not exclude important associations. Smoking waterpipe in groups was not significantly associated with hepatitis C infection (OR = 0.98; 95% CI 0.80-1.21). The quality of evidence for the different outcomes varied from very low to low. Waterpipe tobacco smoking is possibly associated with a number of deleterious health outcomes. There is a need for high-quality studies to identify and quantify with confidence all the health effects of this form of smoking.
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              National, regional, and global prevalence of smoking during pregnancy in the general population: a systematic review and meta-analysis

              Smoking during pregnancy has been linked to numerous adverse health consequences for both the developing fetus and mother. We estimated the prevalence of smoking during pregnancy by country, WHO region, and globally and the proportion of pregnant women who smoked during pregnancy, by frequency and quantity, on a global level.
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                Author and article information

                Contributors
                Role: ConceptualizationRole: Formal analysisRole: SupervisionRole: ValidationRole: VisualizationRole: Writing – review & editing
                Role: Data curationRole: MethodologyRole: Writing – original draft
                Role: ConceptualizationRole: VisualizationRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS One
                plos
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                9 July 2021
                2021
                : 16
                : 7
                : e0253655
                Affiliations
                [001]Department of Public Health, Faculty of Medicine, Jordan University of Science and Technology, Irbid, Jordan
                Al-Azhar University, EGYPT
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Author information
                https://orcid.org/0000-0003-4504-4472
                Article
                PONE-D-21-02978
                10.1371/journal.pone.0253655
                8270187
                34242237
                30e681cb-a3ba-4158-a564-1e945bd3fe17
                © 2021 Kheirallah et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 27 January 2021
                : 9 June 2021
                Page count
                Figures: 2, Tables: 5, Pages: 17
                Funding
                The authors received no specific funding for this work.
                Categories
                Research Article
                Biology and Life Sciences
                Psychology
                Behavior
                Habits
                Smoking Habits
                Social Sciences
                Psychology
                Behavior
                Habits
                Smoking Habits
                Medicine and Health Sciences
                Women's Health
                Maternal Health
                Pregnancy
                Medicine and Health Sciences
                Women's Health
                Obstetrics and Gynecology
                Pregnancy
                Medicine and Health Sciences
                Public and Occupational Health
                People and Places
                Population Groupings
                Age Groups
                Medicine and Health Sciences
                Epidemiology
                Medical Risk Factors
                People and Places
                Geographical Locations
                Asia
                Lebanon
                Biology and Life Sciences
                Psychology
                Addiction
                Nicotine Addiction
                Social Sciences
                Psychology
                Addiction
                Nicotine Addiction
                Medicine and Health Sciences
                Mental Health and Psychiatry
                Substance-Related Disorders
                Nicotine Addiction
                Medicine and Health Sciences
                Public and Occupational Health
                Substance-Related Disorders
                Nicotine Addiction
                Biology and Life Sciences
                Developmental Biology
                Neonates
                Custom metadata
                Data is publicly available online at: https://dhsprogram.com/data/available-datasets.cfm. Authors and readers can create an account and download the datasets associated with the study. No special access privileges were granted to the authors.

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                Uncategorized

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