Coronavirus 2019 (COVID-19) pandemic has claimed over six million lives and infected more than 650 million people globally. Public health agencies have deployed several strategies, including rolling ...out vaccination campaigns to curb the pandemic, yet a significant proportion of the global population has not received the COVID-19 vaccine. We assessed differences in COVID-19 vaccination coverage by Gross National Income (GNI) per capita of WHO members (i.e., countries, areas, and territories, n = 192) and by WHO member regions (n = 6).
Using an ecological study design, we analyzed publicly available data from the WHO website merged with the World Bank's GNI per capita data. We included a total of 192 WHO members and six WHO regions in the analysis. We utilized negative binomial regression to assess the associations between the GNI per capita and COVID-19 vaccination coverage (cumulative number of persons fully vaccinated and/or received at least one dose of the vaccine per 100 population), and ANOVA test to assess the differences in vaccination coverage per WHO regions.
Low GNI per capita WHO members had significantly lower full vaccination coverage (aRR 0.30, 95% CI 0.22-0.40) compared to high GNI per capita WHO members. These members were also 66% less likely to receive at least one dose of the vaccine (aRR 0.34, 0.26-0.44) relative to high GNI per capita WHO members. Africa region had a significantly lower fully vaccination coverage (aRR 0.71, 95% CI 0.36-0.54) and received at least one dose of the COVID-19 vaccine (aRR 0.78, 95% CI 0.62-0.99) than Europe region. Conversely, the Western Pacific region had significantly higher fully vaccination coverage (aRR 1.40 95% CI 1.12-1.74) and received at least one dose of COVID-19 vaccines (aRR 1.40 95% CI 1.14-1.73) relative to European region.
WHO members with low GNI per capita and the African region reported significantly lower COVID-19 vaccination coverage than those with high GNI per capita or other regions. Efforts to strengthen and promote COVID-19 vaccination in low-income WHO countries and African region should be scaled up.
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DOBA, IZUM, KILJ, NUK, PILJ, PNG, SAZU, SIK, UILJ, UKNU, UL, UM, UPUK
Objectives:
From 2017 to 2018, electronic cigarette (e-cigarette) use increased 78% among high school students and 48% among middle school students in the United States. However, few e-cigarette ...prevention interventions have been evaluated. We determined the feasibility and initial effectiveness of “CATCH My Breath,” an e-cigarette prevention program, among a sample of middle schools in central Texas.
Methods:
Twelve middle schools in Texas (6 intervention schools and 6 control schools) participated in the CATCH My Breath pilot program during 2016-2017. CATCH My Breath is rooted in social cognitive theory, consists of 4 interactive in-class modules, and is collaboratively administered via classroom and physical education teachers, student–peer leaders, and social messaging (eg, school posters). We collected 3 waves of data: baseline (January 2017), 4-month follow-up (May 2017), and 16-month follow-up (May 2018). Using school as the unit of analysis, we tested a repeated cross-sectional, condition-by-time interaction on e-cigarette ever use, psychosocial determinants of use, and other tobacco use behaviors. Analyses controlled for school-level sociodemographic characteristics (eg, sex, race/ethnicity, and percentage of students eligible for free or reduced-price lunch).
Results:
From baseline to 16-month follow-up, increases in ever e-cigarette use prevalence were significantly lower among intervention schools (2.8%-4.9%) than among control schools (2.7%-8.9%), controlling for covariates (P = .01). Intervention schools also had significantly greater improvements in e-cigarette knowledge (β = 0.71; 95% confidence interval CI, 0.21-1.21; P = .008) and perceived positive outcomes (β = –0.12; 95% CI, –0.23 to –0.02; P = .02) than control schools, controlling for covariates from baseline to 16-month follow-up.
Conclusion:
Ever e-cigarette use was lower among middle schools that implemented the CATCH My Breath program than among those that did not. Replication of findings among a larger sample of schools, using a group-randomized, longitudinal study design and a longer follow-up period, is needed.
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BFBNIB, INZLJ, NMLJ, NUK, OILJ, PNG, SAZU, UKNU, UL, UM, UPUK, VSZLJ, ZRSKP
BackgroundMultiple tobacco product (MTP) use is common among young adults. Most MTP users are combustible cigarette smokers that use one or more other tobacco products. This study aims to explore ...menthol as a risk factor for MTP use among a cohort of young adult cigarette smokers.MethodsParticipants were 18–29 years cigarette smokers at 24 Texas colleges in a 6-wave study. Participants (n=4700 observations) were classified as: single product users (ie, exclusive cigarette smoking); dual product users and poly product users. A multilevel, ordered logistic regression model was used to examine the association between menthol cigarette smoking and MTP use. Two longitudinal, multilevel, multinomial logistic regressions were used to examine the relationship between menthol cigarette smoking and number of tobacco products used.ResultsOverall, 40.7% of the sample were single product users, 33.7% were dual product users and 25.6% were poly product users. Menthol was associated with 1.28 greater odds of MTP use. Further, menthol was associated with 1.19 greater risk of dual and 1.40 greater risk of poly product use, relative to single product use. Lastly, menthol cigarette smoking was associated with 1.18 greater risk of poly product use, relative to dual product use.ConclusionsThere was a gradient relationship between menthol cigarette smoking and number of tobacco products used among young adult cigarette smokers. Findings provide for greater regulatory and programmatic efforts to reduce the use of menthol cigarettes.
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CEKLJ, CMK, NUK, UL, UM, UPUK
This study aims to examine the relationship between self-reported history of concussion and risk factors for completed suicide among middle school students.
We analyzed state-level data from the 2017 ...YRBS. The study sample was n = 19,254 middle school students in 7 States: Delaware, Florida, Hawaii, Kentucky, Nevada, Rhode Island, and Virginia. We conducted multi-level, multivariate logistic regression models to assess the relationship between self-reported concussions and suicidal ideations, planned suicide attempt, and past suicide attempt.
Approximately 17.8% of the sample self-reported a history of concussion. Self-reported history of concussion was significantly associated with greater odds for history of suicidal ideation (Adj OR: 1.31), planned suicide attempt (Adj OR: 1.36), and past suicide attempt (Adj OR: 1.67).
This is the first study to examine the relationship between self-reported concussion and risk factor for completed suicide among middle school students. Research findings mirror similar study done among high school students and young adults. Findings suggest the need to expand prevention programs, intervention strategies and education campaigns to include middle school students.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UILJ, UL, UM, UPCLJ, UPUK, ZAGLJ, ZRSKP
The potential of e-cigarettes to elicit symptoms of nicotine dependence has not been adequately studied, particularly in adolescent populations. The present study examined the prevalence of ...e-cigarette-specific symptoms of nicotine dependence (“symptoms of e-cigarette dependence”) and the associations between these symptoms, e-cigarette usage group, and e-cigarette cessation-related items among Texas adolescents.
This study involved a cross-sectional analysis of adolescents from Wave 4 of the Texas Adolescent Tobacco and Marketing Surveillance System (TATAMS) (n = 2891/N = 461,069). Chi-Square analyses examined differences in the prevalence of symptoms of dependence by e-cigarette usage group (exclusive versus dual users of e-cigarettes and combustible tobacco products) and demographic characteristics. Weighted multivariable logistic regression analyses examined the associations between symptoms of e-cigarette dependence, e-cigarette usage group, and e-cigarette cessation items.
Exclusive e-cigarette users experienced symptoms of e-cigarette dependence, although the prevalence of most of the symptoms was higher for dual users. Adolescents who reported more symptoms of dependence were less likely to report both wanting to quit e-cigarettes and a past-year quit attempt for e-cigarettes (adjusted odds ratio “AOR” = 0.61 (95% CI = 0.41, 0.92) and AOR = 0.52 (95% CI = 0.30, 0.92), respectively).
This study is the first to demonstrate that adolescent e-cigarette users are experiencing symptoms of dependence specific to e-cigarettes. In addition, symptoms of dependence may be barriers to e-cigarette cessation. Future research is needed to determine if characteristics of e-cigarette use (e.g. frequency and intensity) are associated with dependence.
•Adolescents report symptoms of nicotine dependence specific to e-cigarettes•Dependence symptoms associated with lower odds of e-cigarette cessation behaviors.•Research is needed to identify e-cigarette use behaviors that affect dependence.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UL, UM, UPCLJ, UPUK, ZRSKP
We quantified the linear trend in combustible tobacco smoking among adolescents in the United States from 2014 to 2020, then compared these trends across racial and ethnic category. We also tested ...the effect of e-cigarette use on these trends for all youth and across racial and ethnic categories.
We pooled and analyzed seven years of National Youth Tobacco Survey (NYTS) data for n=124,151 middle and high school students from 2014 to 2020. Weighted logistic regression analyses calculated the annual change in combustible tobacco smoking (i.e., cigarettes, cigars, and hookah) from 2014 to 2020. Stratified analyses examined linear trends for non-Hispanic White (NHW), NH-Black (NHB), Hispanic/Latino, and NH-Other (NHO) youth. All models controlled for sex, grade level, and past 30-day e-cigarette use.
Combustible tobacco smoking from 2014 to 2020 dropped by more than 50% for NHW youth, more than 40% for Latino and NHO youth, compared to just 16% among NHB youth. From 2014 to 2020, odds of combustible tobacco smoking declined by 21.5% per year for NHWs, which was significantly greater than Hispanic/Latinos (17% per year; p=0.025), NHOs (15.4% per year; p=0.01), and NHBs (5.1% per year; p<0.001), adjusting for sex, grade, and e-cigarette use. Trends and disparities in trends by race and ethnicity were observed independent of e-cigarette use.
Combustible tobacco smoking declined for all youth but at significantly different rates across races and ethnicity. Notably, declines in combustible tobacco smoking are lagging among NHB youth. Interventions are critically needed to address this disparity.
A direct, evidence-based intervention to reduce combustible tobacco smoking among NHB youth is critically needed. Such tobacco control initiatives should follow the Best Practices for Comprehensive Tobacco Control Framework, incorporating sustainable funding for school-based intervention, public health education, and adult cessation.
Little is known about the nature and extent of adolescents' exposure to tobacco- and e-cigarette–related communications on social media. In this study, we describe the prevalence and correlates of ...youth exposure and engagement with tobacco- and e-cigarette–related social media.
Data are from the baseline survey of the Texas Adolescent Tobacco and Marketing Surveillance system, a cross-sectional sample of sixth, eighth, and 10th graders (n = 3907, N = 461,097). Weighted logistic regression models were used to examine associations between demographic characteristics, sensation seeking, tobacco use, and exposure and engagement with tobacco-related social media.
Overall, 52.5% of students reported exposure to tobacco-related social media in the past month, whereas < 6% reported engagement. Exposure and some forms of engagement were more common among high school students, girls, those with friends who use tobacco, and high sensation seekers (p < .05). The odds of exposure were significantly higher among students susceptible to combustible tobacco (adjusted odds ratio AOR = 1.71, p < .05), e-cigarettes (AOR = 2.10, p < .01), and both combustible tobacco and e-cigarettes (AOR = 2.24, p < .001). The odds of engaging with social media was higher among those who were susceptible to, had ever, or currently use both combustible tobacco and e-cigarettes (AOR = 2.10–3.46, p < .05).
About 1 in every 2 adolescents in Texas are exposed to tobacco-related social media. Adolescents who are susceptible to or use e-cigarettes and/or combustible tobacco are exposed to and engage with tobacco-related social media more than their peers. Social media appears to be an important venue when targeting vulnerable youth in prevention campaigns.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UL, UM, UPCLJ, UPUK, ZRSKP
Recent literature has demonstrated individuals may be using electronic cigarettes (e-cigarettes) as a method of weight loss and/or management. Furthermore, e-cigarette companies are developing and ...patenting technologies related to e-cigarettes and weight loss. This study aims to determine the association between intentions to lose weight and e-cigarette use behaviors among a nationally representative sample of high school students.
Data were obtained from the 2015 Youth Risk Behavior Surveillance survey. Participants were 12 847 students in grades 9-12 in the United States. Multivariate multinomial logistic regression models assessed the association between past 30-day e-cigarette use and weight loss intentions among 9-12 grade students. Subsample analyses were conducted, stratified by sex. Covariates included perceived weight, sex, race/ethnicity, grade, and past 30-day tobacco use.
Overall, 23.7% of the sample used e-cigarettes in the past 30 days. E-cigarette use was associated with 1.38 (95% CI = 1.07% to 1.78%) greater risk of intentions to lose weight among the full sample, controlling for covariates. Among girls, e-cigarette use was associated with 1.44 (95% CI = 1.05% to 1.97%) greater risk of intentions to lose weight, controlling for covariates. Among boys, e-cigarette use was associated with 1.40 (95% CI = 1.04% to 1.88%) greater odds of intentions to gain weight, controlling for covariates.
Findings show a significant association between e-cigarette use and intentions to lose weight among high school students, among the full sample. Interestingly, e-cigarette use was statistically associated with intentions to gain weight among boys. Longitudinal study is needed to further examine this relationship.
This is the one of the first studies reporting on e-cigarette use and weight loss intentions among adolescents, both highly prevalent among this population. These findings are an important development in the study of e-cigarette use given the established link between conventional cigarette smoking and weight loss and/or management.