A5063131961- Smoking Behavior and Cessation
- Air Quality and Health Impacts
- Behavioral Health and Interventions
- Health, Environment, Cognitive Aging
- Obesity, Physical Activity, Diet
- Nutritional Studies and Diet
- Global Cancer Incidence and Screening
- Survey Methodology and Nonresponse
- COVID-19 Clinical Research Studies
- Substance Abuse Treatment and Outcomes
- Climate Change Communication and Perception
- Food Security and Health in Diverse Populations
- Lung Cancer Diagnosis and Treatment
- Occupational Health and Performance
- Respiratory Support and Mechanisms
- Injury Epidemiology and Prevention
- Long-Term Effects of COVID-19
- LGBTQ Health, Identity, and Policy
- Consumer Attitudes and Food Labeling
- COVID-19 and Mental Health
- Alcohol Consumption and Health Effects
- Abdominal Trauma and Injuries
- Cannabis and Cannabinoid Research
- Health Promotion and Cardiovascular Prevention
- Risk Perception and Management
Rutgers, The State University of New Jersey
2016-2025
General University Hospital of Patras
2023-2024
Broward Health
2023-2024
Broward Health Medical Center
2023-2024
Yale New Haven Hospital
2023-2024
Johnson University
2021-2024
Lancaster General Hospital
2023-2024
University of California, Irvine Medical Center
2023-2024
Cooper University Hospital
2023-2024
University of Pennsylvania
2023-2024
<h3>Background</h3> While cigarette consumption in the USA continues to decline, promotion for and of smokeless tobacco (SLT) is growing. However, little research has explored what product features are driving SLT growth, despite awareness that product-level factors may be important use. This study analyses national sales data better understand impact on sales. <h3>Methods</h3> Data US convenience stores from 2005 2011 were obtained Nielsen Research Company. Each listed was coded attributes...
Young adulthood provides an enormous opportunity to alter trajectories of smoking behaviour for a large public health impact. The purpose this study was examine correlates perceived barriers quitting and reasons quit in sample young adult current former smokers. This used data from the 2011 National Adult Health Survey, random-digit-dial cellphone survey. Participants were US smokers aged 18–34 ( n = 699) adults who either had made attempt past-year 402) or 289). Correlates assessed using...
Purpose: While fever may be a presenting symptom of COVID-19, at hospital admission has not been identified as predictor mortality. However, hyperthermia during critical illness among ventilated COVID-19 patients in the ICU yet studied. We sought to determine mortality predictors and we hypothesized that is predictive Materials Methods: conducted retrospective cohort study 103 admitted between March 14 May 27, 2020. Final follow-up was June 5, Patients discharged from or who died were...
Few studies have explored sources of e-cigarette awareness and peoples' information needs, interests or behaviors. This study contributes to both domains research.Results are based on a 2014 focused survey 519 current smokers from nationally representative research panel.Smokers most frequently reported seeing e-cigarettes in stores (86.4%) used person (83%). Many (73%) had also heard about known users, broadcast media ads (68%), other (print, online) advertisements (71.5%), and/or the news...
<h3>Importance</h3> Use of electronic cigarettes (e-cigarettes) is high among adolescents, but the extent to which JUUL e-cigarette brand accounts for prevalence has not been explored using population-based surveys. <h3>Objective</h3> To examine and use adolescents in New Jersey. <h3>Design, Setting, Participants</h3> Survey study data from 2018 Jersey Youth Tobacco Survey, a cross-sectional statewide representative survey tobacco use. The was school based sampled students grades 9 12....
<p>This flow diagram outlines exclusion criteria that led to our final analytic sample. All N s are unweighted. Abbreviations: P30D= past 30-days. *This is the reference category for exclusive or polytobacco cigarette use groups. Additional was added ensure logically consistent daily/non-daily responses since we also stratified by these analyses.</p>
<p>Supplemental Table 2 provides demographic and tobacco use characteristics of any users.</p>
<p>Supplemental Table 6 provides Wave 1 and 4 TNE-2 cut-points for any tobacco use.</p>
<p>Supplemental Table 5 provides Wave 1 and 4 cotinine cut-points for any tobacco use.</p>
<p>Supplemental Table 4 provides prevalence rates of any tobacco use using TNE-2 cut-points.</p>
<p>This table provides Receiver Operating Curve (ROC) characteristics and optimal cut-point to distinguish past 30-day daily non-daily cigarette users from non-users*, overall by sex race/ethnicity.</p>
<p>Supplemental Table 3 provides prevalence rates of any tobacco use using cotinine cut-points.</p>
<p>Supplemental Table 1 provides demographic and tobacco use characteristics of exclusive polytobacco users.</p>
<p>Supplemental Figure 1 shows the analytic sample flow chart.</p>
<div>AbstractBackground:<p>Determine the overall, sex-, and racially/ethnically-appropriate population-level cotinine total nicotine equivalents (TNE-2, molar sum of two major metabolites) cut-points to distinguish tobacco users from nonusers across multiple definitions use (e.g., exclusive vs. polytobacco, daily non-daily).</p>Methods:<p>Using Wave 1 (2013–2014) U.S. Population Assessment Tobacco Health (PATH) Study, we conducted weighted Receiver Operating...
Abstract Introduction Accurate measurement is critical for understanding the population health impact of nicotine pouches, yet precise, standardized measures pouch use are lacking, possibly driving disparate prevalence estimates across studies. We implemented a split sample survey experiment to assess including product image when asking about pouches. Methods randomized an online US adults ages 18–45 (N=2,130) recruited through February 2023 wave Rutgers Omnibus Study view either text-only...
Aim: This study aimed to describe the characteristics of treatment-seeking patients who wake at night smoke (night-smoking), identify factors that may be associated with night-smoking, and assess association between night-smoking treatment outcome. Methods: A total 2312 consecutive eligible cigarette smokers sought a specialist tobacco-dependence clinic declared Target Quit Date, provided baseline information assessment, were then followed-up 4 26 weeks after their target quit date. Results:...
Journal Article Young Adults' Behavioral Intentions Surrounding a Potential Menthol Cigarette Ban Get access Olivia A. Wackowski, PhD, MPH, MPH Center for Tobacco Surveillance and Evaluation Research, Rutgers School of Public Health, New Brunswick, NJ Search other works by this author on: Oxford Academic PubMed Google Scholar Michelle T. Bover Manderski, Cristine D. Delnevo, Nicotine & Volume 16, Issue 6, June 2014, Pages 876–880, https://doi.org/10.1093/ntr/ntu003 Published: 10 February...
Risk perception measures of tobacco products relative to cigarettes are commonly used and important research given that they may be associated with predict use. However, results differ based on used. This study compares direct indirect approaches measuring e-cigarette/cigarette risk perceptions.We compared the responses 519 current smokers a nationally representative 2014 survey gauged perceptions e-cigarettes' harm in two ways: 1) single-item measure comparative two-item (which measured...
<h3>Importance</h3> Physicians play a primary role in patient smoking cessation, yet their communication regarding e-cigarettes is not well understood. <h3>Objective</h3> To assess physician-patient e-cigarettes. <h3>Design, Setting, and Participants</h3> A national cross-sectional survey 2018 2019 was conducted. Participants were invited by mail; surveys completed online. Respondents 2058 board-certified physicians from family medicine, internal obstetrics gynecology, cardiology, pulmonary,...
The 2021 National Youth Tobacco Survey (NYTS) was completed by youth online during class time, either in school or at home due to the COVID-19 pandemic. Given role of NYTS data tobacco regulatory science, it is vital understand effect survey settings (home, school) on tobacco-use estimates. We used a series multivariable logistic regressions examine whether (home vs. predicted current e-cigarette use among high students, controlling for other known predictors as well pandemic learning model...