Tobacco Use at the Intersection of Sex and Sexual Identity in the U.S., 2007–2020: A Meta-Analysis

Author(s):  
Jingjing Li ◽  
Carla J. Berg ◽  
Amber A. Weber ◽  
Milkie Vu ◽  
Justin Nguyen ◽  
...  
Author(s):  
Elise M. Stevens ◽  
Emily T. Hébert ◽  
Brittney Keller-Hamilton ◽  
Summer G. Frank-Pearce ◽  
Alayna P. Tackett ◽  
...  
Keyword(s):  
The Real ◽  

2010 ◽  
Vol 26 (12) ◽  
pp. 2213-2233 ◽  
Author(s):  
Valeska Marinho ◽  
Jerson Laks ◽  
Evandro Silva Freire Coutinho ◽  
Sergio Luís Blay

The aim of this study was to combine the results of identified surveys on the prevalence of tobacco use in old age to estimate world prevalence of tobacco use and possible factors related to such behavior among the elderly. The literature search included electronic databases such as MEDLINE, LILACS, and Biological Abstracts, hand-searching of specialist journals and cited reference searches. The combined global prevalence was estimated using the random effects model. The total number of elderly subjects included in all surveys was 140,058, with data available from all the continents. Overall prevalence of tobacco use was 13% in both genders (22% male and 8% female). The prevalence rates were heterogeneous among surveys and were associated with smoking definition, questionnaire application, and country economic status. Few epidemiological studies assessed tobacco use among the elderly. A higher prevalence rate of tobacco use in males who live in higher income countries could be found, although additional evidence regarding elderly samples is still required.


2018 ◽  
Vol 7 (12) ◽  
pp. 543 ◽  
Author(s):  
Sarvenaz Esmaeelzadeh ◽  
John Moraros ◽  
Lilian Thorpe ◽  
Yelena Bird

Background: The purpose of this systematic review was to examine the association and directionality between mental health disorders and substance use among adolescents and young adults in the U.S. and Canada. Methods: The following databases were used: Medline, PubMed, Embase, PsycINFO, and Cochrane Library. Meta-analysis used odds ratios as the pooled measure of effect. Results: A total of 3656 studies were screened and 36 were selected. Pooled results showed a positive association between depression and use of alcohol (odds ratio (OR) = 1.50, 95% confidence interval (CI): 1.24–1.83), cannabis (OR = 1.29, 95% CI: 1.10–1.51), and tobacco (OR = 1.65, 95% CI: 1.43–1.92). Significant associations were also found between anxiety and use of alcohol (OR = 1.54, 95% CI: 1.19–2.00), cannabis (OR = 1.36, 95% CI: 1.02–1.81), and tobacco (OR = 2.21, 95% CI: 1.54–3.17). A bidirectional relationship was observed with tobacco use at baseline leading to depression at follow-up (OR = 1.87, CI = 1.23–2.85) and depression at baseline leading to tobacco use at follow-up (OR = 1.22, CI = 1.09–1.37). A unidirectional relationship was also observed with cannabis use leading to depression (OR = 1.33, CI = 1.19–1.49). Conclusion: This study offers insights into the association and directionality between mental health disorders and substance use among adolescents and young adults. Our findings can help guide key stakeholders in making recommendations for interventions, policy and programming.


2021 ◽  
Author(s):  
Rajesh Kumar ◽  
Ravi Kant ◽  
Poonam Yadav ◽  
Tamar Rodney ◽  
Mukesh Bairwa

Abstract BackgroundThe burden of tobacco-associated disorders is prevalent worldwide. Over the years, many innovative internet-based approaches have been utilized with variable success to quit tobacco. Though the effectiveness of internet-based and face-to-face interventions on quitting smoking are very well reported in the literature, due to limitation in methodology and limited sample size, it is required to integrate and analyze these studies' findings to reach a single conclusion. The study evaluated the effectiveness of the internet as an intervention approach versus face-to-face interaction on reducing tobacco use as control among adults.MethodsA systematic search was performed through various electronic databases such as Medline, PsychInfo, PubMed, Embase, Cochrane Central Register of Controlled Trials (CENTRAL), ResearchGate, Google Scholar, and Academia. Reference lists of the eligible articles were also screened. Full-text articles were included as per eligibility criteria (PICO framework). No ethnicity restriction was applied.ResultsA total of 13 studies were selected for meta-analysis, with 3852 and 3908 participants in intervention and control groups respectively. Forest plot favours the intervention group at one month follow up for tobacco quitting (OR: 2.37, CI: 1.86-3.02, P-0.00001, I2 =0%), at three months (OR: 1.88, CI: 1.48-2.40, P-0.00001, I2 =42%) at six months (OR: 2.02, CI: 1.64-2.50, P-0.00001, I2 =38%) and at 1 year of follow-up (OR: 1.43, CI: 1.18-1.74, P-0.00001, I2 = 36%) comparing to control group. ConclusionInternet and web-based interventions are highly useful in tobacco quitting at one month, three months, six months, and one year of follow-up compared to face-to-face interaction or no intervention, although the level of evidence was moderate. Additionally, limited availability of trials in developing countries, arising need for research of internet use in developing countries to quit tobacco. Prospero Registration number- PROSPERO 2020 CRD42020214306


2017 ◽  
Vol 77 (1) ◽  
pp. 171-207 ◽  
Author(s):  
Howard Bodenhorn ◽  
Timothy W. Guinnane ◽  
Thomas A. Mroz

Understanding long-term changes in human well-being is central to understanding the consequences of economic development. An extensive anthropometric literature purports to show that heights in the United States declined between the 1830s and the 1890s, which is when the U.S. economy modernized. Most anthropometric research contends that declining heights reflect the negative health consequences of industrialization and urbanization. This interpretation, however, relies on sources subject to selection bias. Our meta-analysis shows that the declining height during industrialization emerges primarily in selected samples. We also develop a parsimonious diagnostic test that reveals, but does not correct for, selection bias in height samples. When applied to four representative height samples, the diagnostic provides compelling evidence of selection.


Author(s):  
Mistie Hokulani Rosario ◽  
Dixie L. Johnson ◽  
Kelsey S. Manglallan ◽  
Kristina T. Phillips ◽  
Pallav Pokhrel ◽  
...  

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