Addictive Behaviors
Papers 7,010
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#1Kevin R J Schroth (RU: Rutgers University)H-Index: 5
#2Marin Kurti (Eastern Connecticut State University)H-Index: 8
Last. Cristine D. Delnevo (RU: Rutgers University)H-Index: 37
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OBJECTIVES We report the continued availability of flavored cigars based on our analysis of discarded cigar wrappers collected in February 2019, after a partial flavor ban in Oakland, CA. METHODS We collected 1,501 discarded cigar wrappers in a stratified random sample of census tracts (n = 15). Collected packages were cleaned, photographed, and coded for product type, brand name, pack size, flavor descriptor, and pricing details. RESULTS More than half (58.5%, CI 95% = 50-67.1%) of the cigar wr...
#1Cassandra M. Pickens (CDC: Centers for Disease Control and Prevention)H-Index: 2
#2Brooke E. Hoots (CDC: Centers for Disease Control and Prevention)H-Index: 20
Last. Lawrence Scholl (CDC: Centers for Disease Control and Prevention)H-Index: 1
view all 4 authors...
Abstract null null Introduction null Nonfatal and fatal drug overdoses have recently increased. There are limited data describing the range of illicit, prescribed, and over-the-counter drugs involved in overdoses presenting to U.S. emergency departments (EDs). null null null Methods null Using 2018 Healthcare Cost and Utilization Project (HCUP) Nationwide ED Sample (NEDS) data, we calculated weighted counts and percentages by drug among overdose-related ED visits. Overdose-related ED visits were...
#1Ashley Douglas (WVU: West Virginia University)H-Index: 1
#2Margaret Childers (WVU: West Virginia University)H-Index: 1
Last. Melissa D. Blank (WVU: West Virginia University)H-Index: 18
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Abstract null null Introduction null Electronic cigarettes (ECIGs) vary greatly in their ability to deliver nicotine, which suggests they may also vary in their ability to produce dependence. This study examined individual and combined ECIG device features, and also user behaviors, as predictors of dependence in never-smoking ECIG users. null Methods null Data were collected from 711 current ECIG users who had smoked null null Results null Results for ECIG dependence and craving showed a similar...
#4Anna E. Goudriaan (UvA: University of Amsterdam)H-Index: 52
#1Maria Anna Donati (UniFI: University of Florence)H-Index: 17
#2Carola Beccari (UniFI: University of Florence)H-Index: 2
Last. Caterina Primi (UniFI: University of Florence)H-Index: 22
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Abstract null null Boredom is an unpleasant experience caused by the lack of being engaged in satisfying activities. It can be caused by external circumstances (state boredom, SB) or by individual determinants (trait boredom, TB). Although several studies have attested the impact of boredom on adolescents’ risk-taking behaviours, the relationships between boredom and problematic Facebook use (PFU), which has grown exponentially among adolescents, have not been deeply analysed to date. This study...
#1Alicia M. Allen (UA: University of Arizona)H-Index: 14
#2Iva Skobic (UA: University of Arizona)H-Index: 2
Last. Uma S. Nair (UA: University of Arizona)H-Index: 9
view all 7 authors...
Abstract null null Introduction null Menstrual phase influences cigarette smoking-related outcomes. Telephone-based cessation programs (e.g., quitlines) may incorporate the role of the menstrual cycle in an effort to tailor interventions for women. Purpose: The goal of this preliminary randomized clinical trial was to examine the feasibility and acceptability of timing quit date to menstrual phase in women in a quitline setting. null null null Methods null We recruited treatment-seeking women wi...
#1Krysten W. Bold (Yale University)H-Index: 18
#2Grace Kong (Yale University)H-Index: 32
Last. Suchitra Krishnan-Sarin (Yale University)H-Index: 63
view all 6 authors...
Abstract null null Purpose null E-cigarette use is a problem among youth, yet few vaping cessation programs exist. This study aimed to understand what youth want in a school-based vaping cessation program to inform intervention development. null null null Methods null We conducted 8 focus groups in Fall 2019 with Connecticut high school youth (N=4-10 adolescents per group, total N=62, 50% female). 6 groups were with youth who were current (i.e., past-month) e-cigarette users and 2 groups were wi...
#1Luke Herchenroeder (W&M: College of William & Mary)H-Index: 2
#2Emily Norton (W&M: College of William & Mary)
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Abstract null null The present study examined whether five facets of mindfulness (acting with awareness, describing, observing, non-judging of inner experience, and non-reactivity to inner experience) relate to alcohol and cannabis outcomes (quantity of use and negative consequences) via delaying gratification. Participants were college students across seven universities who used alcohol (n = 1467) and/or cannabis (n = 647) in the last 30 days. For the alcohol analytic sample, the majority of st...
#1Jennifer A. Bailey (UW: University of Washington)H-Index: 24
#2Marina Epstein (UW: University of Washington)H-Index: 14
Last. Rick Kosterman (UW: University of Washington)H-Index: 41
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Abstract null null Purpose null Prior research has showed that parent combustible cigarette use predicts cigarette use among their offspring. This study used prospective longitudinal data from parents and offspring to test whether parent electronic nicotine delivery system (ENDS) use predicted a higher probability of ENDS use among their offspring. null null null Methods null Data were drawn from the Seattle Social Development Project – The Intergenerational Project (SSDP-TIP). Analyses included...
Abstract null null Cigarette smoking is associated with multiple adverse health outcomes. When smokers attempt to quit smoking, one of the leading predictors of relapse are cravings. Recent research shows a relationship between positive and negative affect, exercise, and cravings, but the exact nature of this relationship has yet to be understood. This study explored the relationships between positive and negative affect and cravings in a sample of participants with elevated levels of depressive...
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