scholarly journals Sex Difference in the Association between Electronic Cigarette Use and Subsequent Cigarette Smoking among U.S. Adolescents: Findings from the PATH Study Waves 1–4

2021 ◽  
Vol 18 (4) ◽  
pp. 1695
Author(s):  
Zongshuan Duan ◽  
Yu Wang ◽  
Jidong Huang
Keyword(s):  
Mental Health ◽  
Cigarette Smoking ◽  
Tobacco Use ◽  
Mental Health Problems ◽  
Cigarette Use ◽  
Tobacco Products ◽  
Estimation Equations ◽  
Nationally Representative ◽  
Prospective Association

E-cigarettes are the most-used tobacco products among U.S. adolescents. Emerging evidence suggests that adolescents using e-cigarettes are at elevated risk for initiating cigarette smoking. However, whether this risk may differ by sex remains unknown. This study analyzed data from Wave 1 to 4 of the Population Assessment of Tobacco and Health (PATH) Study, a nationally representative longitudinal survey. Generalized estimation equations (GEE) were performed to estimate the associations between baseline e-cigarette use and subsequent cigarette smoking, controlling for sociodemographic characteristics, mental health conditions, and other tobacco use. Effect modifications by sex were examined. Multivariate analyses showed that, among baseline never cigarette smokers, past-30-day e-cigarette use at baseline waves was significantly associated with past-30-day cigarette smoking at follow-up waves (aOR = 3.90, 95% CI: 2.51–6.08). This association was significantly stronger for boys (aOR = 6.17, 95% CI: 2.43–15.68) than for girls (aOR = 1.10, 95% CI: 0.14–8.33). Additionally, using other tobacco products, older age, and having severe externalizing mental health problems at baseline were significantly associated with an increased likelihood of cigarette smoking at follow-up. The prospective association between e-cigarette use and cigarette smoking differs by sex among U.S. adolescents. Sex-specific tobacco control interventions may be warranted to curb the youth tobacco use epidemic.

scholarly journals Smoke-Free Ordinances and Policies Protect Youth, but Ordinances Appear to Have Little Impact on Non-Combustible Tobacco Use

Children ◽  
2019 ◽  
Vol 6 (3) ◽  
pp. 44
Author(s):  
Nell Valentine ◽  
Emily McClelland ◽  
Robert McMillen
Keyword(s):  
High School Students ◽  
Cigarette Smoking ◽  
Tobacco Use ◽  
Smokeless Tobacco ◽  
Cigarette Use ◽  
Lower Prevalence ◽  
Tobacco Products ◽  
Shs Exposure ◽  
Smokeless Tobacco Use ◽  
Cigar Smoking

Smoke-free ordinances and policies protect youth from exposure to secondhand smoke (SHS) and cigarette use. This study investigated whether smoke-free ordinances also protect youth from the use of other tobacco products. We compared the prevalence of SHS exposure, cigarette smoking, cigar smoking, smokeless tobacco use, and e-cigarette use among high school students living in a municipality with or without a smoke-free ordinance and in homes with and without smoke-free policies. Data were analyzed using the 2017 Mississippi Youth Tobacco Survey (n = 1923). Smoke-free ordinances were found to be associated with lower prevalence of SHS exposure (41.9% vs. 51.5%), cigarette smoking (5.1% vs. 11.4%), and cigar smoking (7.2% vs. 10.9%). There were no differences in smokeless tobacco use (6.6% vs. 6.5%) or e-cigarette use (11.2% vs 12.1%). Smoke-free homes were associated with lower prevalence of SHS exposure (38.0% vs 74.6%), cigarette smoking (4.8% vs. 17.6%), cigar smoking (6.4% vs. 16.4%), smokeless tobacco use (4.9% vs. 13.2%), and e-cigarette use (9.6% vs. 19.5%), p < 0.05 for all comparisons. The results suggest that smoke-free ordinances and policies protect against exposure to tobacco smoke and use of combustible tobacco products, but smoke-free ordinances do not protect from smokeless tobacco and e-cigarette use. Tobacco-free, rather than smoke-free, ordinances might offer more protection.

scholarly journals E-Cigarette Flavors and Frequency of E-Cigarette Use among Adult Dual Users Who Attempt to Quit Cigarette Smoking in the United States: Longitudinal Findings from the PATH Study 2015/16–2016/17

2021 ◽  
Vol 18 (8) ◽  
pp. 4373
Author(s):  
Karin A. Kasza ◽  
Maciej L. Goniewicz ◽  
Kathryn C. Edwards ◽  
Michael D. Sawdey ◽  
Marushka L. Silveira ◽  
...  
Keyword(s):  
Smoking Cessation ◽  
Cigarette Smoking ◽  
Longitudinal Research ◽  
The United States ◽  
Study Data ◽  
Cigarette Use ◽  
Quit Smoking ◽  
Nationally Representative ◽  
The Relationship

Potential mechanisms by which e-cigarette use may relate to combustible cigarette smoking cessation are not well-understood. We used U.S. nationally representative data to prospectively evaluate the relationship between e-cigarette flavor use and frequency of e-cigarette use among adult cigarette/e-cigarette dual users who attempted to quit smoking cigarettes. Analyses used Population Assessment of Tobacco and Health (PATH) Study data from adult dual users (2015/16) who attempted to quit smoking between 2015/16 and 2016/17 (Wave 3-Wave 4, n = 685, including those who did/did not quit by 2016/17). E-cigarette flavor use (usual/last flavor, past 30-day flavor; assessed in 2015/16) was categorized into Only tobacco; Only menthol/mint; Only non-tobacco, non-menthol/mint; and Any combination of tobacco, menthol/mint, other flavor(s). The key outcome, evaluated at follow-up in 2016/17, was frequent e-cigarette use, which was defined as use on 20+ of past 30 days. Logistic regression was used to evaluate associations between e-cigarette flavor use in 2015/16 and frequent e-cigarette use at follow-up in 2016/17. Dual users who attempted to quit smoking had greater odds of frequent e-cigarette use at follow-up when they used only non-tobacco, non-menthol/mint flavor than when they used only tobacco flavor as their regular/last e-cigarette flavor (OR = 1.9, 95% CI: 1.1–3.4); findings were no longer significant when adjusted for factors including e-cigarette device type (AOR = 1.4, 95% CI: 0.7–2.8). Past 30-day e-cigarette flavor use results were generally similar, although frequent e-cigarette use at follow-up was highest among those who used any combination of tobacco, menthol/mint, or other flavors. Findings indicate that e-cigarette flavor use among dual users who attempt to quit smoking may be related to e-cigarette use frequency overall, which may indicate a mechanism underlying findings for e-cigarette use and smoking cessation. Further longitudinal research may help to disentangle how e-cigarette characteristics uniquely impact e-cigarette use frequency and smoking cessation/sustained use.

scholarly journals Prospective association between use of electronic cigarettes and use of conventional cigarettes - a systematic review and meta-analysis

2021 ◽  
pp. 00976-2020
Author(s):  
Louise Adermark ◽  
Maria Rosaria Galanti ◽  
Charlotta Ryk ◽  
Hans Gilljam ◽  
Linnea Hedman
Keyword(s):  
Systematic Review ◽  
Cigarette Smoking ◽  
Electronic Cigarettes ◽  
Meta Analysis ◽  
Cochrane Library ◽  
Cigarette Use ◽  
Study Selection ◽  
Prospective Association ◽  
Never Smokers

ObjectiveThe aim of this systematic review and meta-analysis was to assess the association between e-cigarette use and subsequent initiation or recurrence of cigarette smoking.Data sourcesA systematic literature search was finalised November 11, 2019 using PubMed incl. Medline, EMBASE, Cochrane Library, Scopus, PubMed Health, NICE evidence search, PROSPERO, CRD, and PsycInfo.Study selectionStudies were included if meeting the following criteria: reporting empirical results; longitudinal observational design with a minimum of 3 months of follow-up; including general population samples; allowing for the comparison between users and non-users of e-cigarettes. Studies rated as having high risk of bias were excluded. Studies were independently assessed by at least two authors. The procedures described by PRISMA were followed, and the quality of evidence was rated using GRADE.Data synthesisThirty longitudinal studies from 22 different cohorts assessing e-cigarette use among non- or never-smokers at baseline, and subsequent use of cigarette smoking at follow-up, were included in this review. A random-effects meta-analysis based on 89 076 participants showed a pooled unadjusted odds ratio (OR) of cigarette smoking among baseline non-smokers e-cigarette users compared with non-users of 4.68 (CI 3.64–6.02), while the adjusted OR was 3.37 (CI 2.68–4.24). These results were consistent irrespective of whether the outcome was measured as ever smoking or as past 30-day smoking. The evidence was graded as moderate.ConclusionsUse of e-cigarettes may predict the initiation or recurrence of cigarette smoking.

scholarly journals Electronic Cigarette Use and Smoking Initiation in Taiwan: Evidence from the First Prospective Study in Asia

2019 ◽  
Vol 16 (7) ◽  
pp. 1145 ◽  
Author(s):  
Yu-Ning Chien ◽  
Wayne Gao ◽  
Mattia Sanna ◽  
Ping-Ling Chen ◽  
Yi-Hua Chen ◽  
...  
Keyword(s):  
High School ◽  
Junior High School ◽  
Smoking Initiation ◽  
Asian Country ◽  
Electronic Cigarette ◽  
Cigarette Use ◽  
Susceptibility To Smoking ◽  
Nationally Representative ◽  
Prospective Association

A growing literature indicates that electronic cigarette use increases the risk of subsequent initiation of conventional smoking among cigarette-naïve adolescents in several Western countries. This research assesses the same relationship in an Asian country, Taiwan. The Taiwan Adolescent to Adult Longitudinal Study is a school-based survey that was carried out in two waves in 2014 (baseline) and in 2016 (follow-up). It employs probability sampling to create nationally representative samples of students in junior high school (mean age 13, 7th grade at baseline) and in senior high school (mean age 16, 10th grade at baseline). Data from this survey were analyzed via logistic regression to estimate the association between ever use of e-cigarettes at baseline and smoking initiation at follow-up, accounting for susceptibility to smoking, socio-demographic profile, depression status, and peer support. Among the 12,954 cigarette-naïve students surveyed, those with e-cigarette experience at baseline exhibited higher odds of smoking initiation at follow-up (Odds Ratio = 2.14, 95% CI (1.66, 2.75), p < 0.001). For the first time, we confirmed, through a longitudinal survey, a prospective association between ever use of e-cigarettes and smoking initiation in an Asian adolescent population. The restrictive policy on e-cigarettes currently in force in Taiwan is justified to prevent both e-cigarette and cigarette use among adolescents.

scholarly journals Exploring the gateway hypothesis of e-cigarettes and tobacco: a prospective replication study among adolescents in the Netherlands and Flanders

2021 ◽  
pp. tobaccocontrol-2021-056528
Author(s):  
Thomas Martinelli ◽  
Math J J M Candel ◽  
Hein de Vries ◽  
Reinskje Talhout ◽  
Vera Knapen ◽  
...  
Keyword(s):  
The Netherlands ◽  
Tobacco Use ◽  
Tobacco Smoking ◽  
Longitudinal Design ◽  
Positive Association ◽  
Cigarette Use ◽  
Convenience Sample ◽  
Frequent Use ◽  
Never Smokers

BackgroundStudies demonstrated that adolescent e-cigarette use is associated with subsequent tobacco smoking, commonly referred to as the gateway effect. However, most studies only investigated gateways from e-cigarettes to tobacco smoking. This study replicates a cornerstone study revealing a positive association between both adolescent e-cigarette use and subsequent tobacco use; and tobacco and subsequent e-cigarette use in the Netherlands and Flanders.DesignThe longitudinal design included baseline (n=2839) and 6-month (n=1276) and 12-month (n=1025) follow-up surveys among a school-based cohort (mean age: 13.62). Ten high schools were recruited as a convenience sample. The analyses involved (1) associations of baseline e-cigarette use and subsequent tobacco smoking among never smokers; (2) associations of e-cigarette use frequency at baseline and tobacco smoking frequency at follow-up; and (3) the association of baseline tobacco smoking and subsequent e-cigarette use among non-users of e-cigarettes.FindingsConsistent with prior findings, baseline e-cigarette use was associated with higher odds of tobacco smoking at 6-month (OR=1.89; 95% CI 1.05 to 3.37) and 12-month (OR=5.63; 95% CI 3.04 to 10.42) follow-ups. More frequent use of e-cigarettes at baseline was associated with more frequent smoking at follow-ups. Baseline tobacco smoking was associated with subsequent e-cigarette use (OR=3.10; 95% CI 1.58 to 6.06 at both follow-ups).ConclusionOur study replicated the positive relation between e-cigarette use and tobacco smoking in both directions for adolescents. This may mean that the gateway works in two directions, that e-cigarette and tobacco use share common risk factors, or that both mechanisms apply.

scholarly journals Electronic cigarette use intensity measurement challenges and regulatory implications

2021 ◽  
pp. tobaccocontrol-2021-056483
Author(s):  
Eric Soule ◽  
Maansi Bansal-Travers ◽  
Rachel Grana ◽  
Scott McIntosh ◽  
Simani Price ◽  
...  
Keyword(s):  
Tobacco Use ◽  
User Behavior ◽  
Unintended Consequences ◽  
Electronic Cigarette ◽  
Cigarette Use ◽  
Tobacco Products ◽  
Intensity Measures ◽  
Nicotine Concentration ◽  
Regulatory Policies ◽  
Answering Questions

Assessing tobacco use intensity allows researchers to examine tobacco use in greater detail than assessing ever or current use only. Tobacco use intensity measures have been developed that are specific to tobacco products, such as asking smokers to report number of cigarettes smoked per day. However, consensus on electronic cigarette use intensity measures that can be used for survey research has yet to be established due to electronic cigarette product and user behavior heterogeneity. While some survey measures that attempt to assess electronic cigarette use intensity exist, such as examining number of ‘times’ using an electronic cigarette per day, number of puffs taken from an electronic cigarette per day, volume of electronic cigarette liquid consumed per day, or nicotine concentration of electronic cigarette liquid, most measures have limitations. Challenges in electronic cigarette measurement often stem from variations across electronic cigarette device and liquid characteristics as well as the difficulty that many electronic cigarette users have regarding answering questions about their electronic cigarette device, liquid, or behavior. The inability for researchers to measure electronic cigarette use intensity accurately has important implications such as failing to detect unintended consequences of regulatory policies. Development of electronic cigarette use intensity measures, though not without its challenges, can improve understanding of electronic cigarette use behaviors and associated health outcomes and inform development of regulatory policies.

scholarly journals Predictors of clinical deterioration in patients with suspected COVID-19 managed in a ‘virtual hospital’ setting: a cohort study

BMJ Open ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. e045356
Author(s):  
Nick A Francis ◽  
Beth Stuart ◽  
Matthew Knight ◽  
Rama Vancheeswaran ◽  
Charles Oliver ◽  
...  
Keyword(s):  
Mental Health ◽  
Mental Health Problems ◽  
Hospital Setting ◽  
Health Problems ◽  
Clinical Deterioration ◽  
Care Services ◽  
Increased Risk ◽  
Remote Assessment ◽  
History Of

ObjectiveIdentify predictors of clinical deterioration in a virtual hospital (VH) setting for COVID-19.DesignReal-world prospective observational study.SettingVH remote assessment service in West Hertfordshire NHS Trust, UK.ParticipantsPatients with suspected COVID-19 illness enrolled directly from the community (postaccident and emergency (A&E) or medical intake assessment) or postinpatient admission.Main outcome measureDeath or (re-)admission to inpatient hospital care during VH follow-up and for 2 weeks post-VH discharge.Results900 patients with a clinical diagnosis of COVID-19 (455 referred from A&E or medical intake and 445 postinpatient) were included in the analysis. 76 (8.4%) of these experienced clinical deterioration (15 deaths in admitted patients, 3 deaths in patients not admitted and 58 additional inpatient admissions). Predictors of clinical deterioration were increase in age (OR 1.04 (95% CI 1.02 to 1.06) per year of age), history of cancer (OR 2.87 (95% CI 1.41 to 5.82)), history of mental health problems (OR 1.76 (95% CI 1.02 to 3.04)), severely impaired renal function (OR for eGFR <30=9.09 (95% CI 2.01 to 41.09)) and having a positive SARS-CoV-2 PCR result (OR 2.0 (95% CI 1.11 to 3.60)).ConclusionsThese predictors may help direct intensity of monitoring for patients with suspected or confirmed COVID-19 who are being remotely monitored by primary or secondary care services. Further research is needed to confirm our findings and identify the reasons for increased risk of clinical deterioration associated with cancer and mental health problems.

scholarly journals Pathways to Mental Health–Related Treatment Among Caregiving Spouses

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 358-358
Author(s):  
Hyojin Choi ◽  
Kristin Litzelman ◽  
Molly Maher ◽  
Autumn Harnish
Keyword(s):  
Mental Health ◽  
Primary Care ◽  
Mental Healthcare ◽  
Health Condition ◽  
Future Research ◽  
Provider Type ◽  
Hospital Emergency Room ◽  
Health Related ◽  
Nationally Representative

Abstract Spouses of cancer survivors are 33% less likely to receive guideline-concordant depression treatment than other married adults. However, depression is only one of many manifestations of psychological distress for caregivers. This exploratory study sought to assess the paths by which caregivers access mental health-related treatment. Using nationally representative data from the Medical Expenditures Panel Survey, we assessed the proportion of caregivers who received a mental health-related prescription or psychotherapy visit across care settings (office based versus outpatient hospital, emergency room, or inpatient visit), provider type (psychiatric, primary care, other specialty, or other), and visit purpose (regular checkup, diagnosis and treatment, follow-up, psychotherapy, other). In addition, we assessed the health condition(s) associated with the treatment. The findings indicate that a plurality of caregivers accessed mental health-related treatment through an office-based visit (90%) with a primary care provider (47%). A minority accessed this care through a psychologist or psychiatrist (11%) or a physician with another specialty (12%) or other provider types. Nearly a third accessed treatment as part of a regular check-up (32%). These patterns did not differ from the general population after controlling for sociodemographic characteristics. Interestingly, mental health-related treatments were associated with a mental health diagnosis in only a minority of caregivers. The findings confirm the importance of regular primary care as a door way to mental healthcare, and highlight the range of potential paths to care. Future research will examine the correlates of accessing care across path types.

Sign in / Sign up

Export Citation Format

Share Document