Stress, Dependence, and COVID-19–related Changes in Past 30-day Marijuana, Electronic Cigarette, and Cigarette Use among Youth and Young Adults

Background Studies show smoking and vaping behaviors increase risk of contracting and worse symptoms of COVID-19. This study examines whether past 30-day youth and young adult users of marijuana, e-cigarettes, and cigarettes self-reported changes in their use of these substances due to the COVID-19 pandemic; and cross-sectional associations between perceived stress, nicotine or marijuana dependence, and COVID-19–related changes in use. Methods Participants were 709 past 30-day self-reported substance users from the Texas Adolescent Tobacco and Marketing Surveillance study (TATAMS; mean age = 19; 58% female; 38% Hispanic, 35% white). Multiple logistic regression models assessed cross-sectional associations between perceived stress and dependence and increased, decreased, or sustained past 30-day use of marijuana, e-cigarettes, and cigarettes due to COVID-19 (e.g., “Has your marijuana use changed due to the COVID-19 outbreak?”). Covariates included age, race/ethnicity, socio-economic status (SES), dependence (exposure: stress), and stress (exposure: dependence). Results Most participants reported sustained (41%, 43%, 49%) or increased (37%, 34%, 25%) use of marijuana, e-cigarettes, and cigarettes due to COVID-19, respectively. Participants who reported symptoms of dependence were significantly more likely than their non-dependent peers to report increasing their marijuana (AOR: 1.66; 95% CI: 1.15–2.39) and e-cigarette (AOR: 2.57; 95% CI: 1.38–4.77) use. Those who reported higher perceived stress were significantly more likely to report increasing their marijuana use (AOR: 1.55; 95% CI: 1.01–2.42). Conclusions Most youth and young adults did not decrease their substance use amid a global, respiratory disease pandemic. Health messaging and interventions that address the health effects of smoking and vaping as well as factors like stress and dependence that may be barriers to decreasing use are vital in curbing the COVID-19 pandemic.

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Determinants of alcohol consumption and marijuana use among young adults in the Republic of Palau

Environmental Health and Preventive Medicine ◽

10.1186/s12199-020-00928-8 ◽

2021 ◽

Vol 26 (1) ◽

Author(s):

Mizuki Sata ◽

Renzhe Cui ◽

Chifa Chiang ◽

Singeru Travis Singeo ◽

Berry Moon Watson ◽

...

Keyword(s):

Young Adults ◽

Alcohol Consumption ◽

Age Groups ◽

Marijuana Use ◽

Cross Sectional Study ◽

Cross Sectional ◽

Education Levels ◽

The Status ◽

The Republic ◽

Republic Of Palau

Abstract Background This study aimed to describe the status of alcohol consumption and drug use among young adults as well as their determinants. Methods We conducted a cross-sectional study of 356 young adults (aged 18 to 24 years) living in Palau in 2013. The prevalence of self-reported alcohol and marijuana usage were compared within and between sexes, age groups, ethnicities, and education levels. Results The proportion of current drinking was higher in people aged 21–24 than in those aged 18–20 (73.2% vs. 60.9%, p = 0.09 in men and 48.3% vs. 30.0%, p = 0.02 in women), while that of marijuana use did not differ between the age groups. The proportions of current drinking and marijuana use were higher in Palauan than in other ethnicities (current drinking: 70.6% vs. 40.6%, p = 0.005 in men and 38.8% vs. 16.6%, p = 0.04 in women; lifetime marijuana use: 80.0% vs. 52.9%, p = 0.02 in men and 56.1% vs. 30.6%, p = 0.09 in women). The proportion of frequent (3 times or more) marijuana users was higher for the lower educated than for the higher educated (62.5% vs. 32.1%, p < 0.001 in men and 33.9% vs. 24.4%, p = 0.12 in women). Conclusions Sex, age, ethnicity, and education were significant determinants of alcohol and marijuana use.

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‘Ice’ flavoured e-cigarette use among young adults

Tobacco Control ◽

10.1136/tobaccocontrol-2020-056416 ◽

2021 ◽

pp. tobaccocontrol-2020-056416

Author(s):

Adam Leventhal ◽

Hongying Dai ◽

Jessica Barrington-Trimis ◽

Steve Sussman

Keyword(s):

Young Adults ◽

Los Angeles ◽

Tobacco Use ◽

Cross Sectional Study ◽

Cigarette Use ◽

Cross Sectional ◽

Web Based ◽

The Past ◽

Frequency Of Use ◽

Exposure Variable

Background‘Ice’ e-cigarette flavours—marketed as a combination of fruity/sweet and cooling flavours (eg, ‘blueberry ice’ or ‘melon ice’)—recently entered the US market. The prevalence and correlates of ice flavoured e-cigarette use in young adults are unknown.MethodsThis cross-sectional study of a Los Angeles, California, USA, cohort analysed data from the past 30-day e-cigarette (current) users (n=344; M (SD)=21.2 (0.4) years old) who completed web-based surveys from May–August 2020. The exposure variable was self-reported e-cigarette flavour used most often in the past month (menthol/mint, fruit/sweet or ice). Outcomes included self-reported combustible tobacco use, vaping dependence symptoms, frequency of use and device type used.ResultsAmong current e-cigarette users, 48.8% reported using ice flavours most often, 33.7% predominately used fruit/sweet and 17.4% used menthol/mint. Using primarily ice-flavour was associated with reporting more past-30-day vaping days (vs menthol/mint: b=4.4, 95% CI (1 to 7.7); vs fruit/sweet: b=3.6, 95% CI (0.8 to 6.4)) and more episodes per vaping day versus fruit/sweet users (b=2.4, 95% CI (0.5 to 4.3)). Ice-flavour users were less likely than menthol/mint users to use JUUL/cartridge-based rechargeable (OR=0.1, 95% CI (0.03 to 0.45)) and more likely than sweet/fruit users to use disposable non-cartridge (OR=3.9, 95% CI (2.1 to 7.4)) devices than refillable/rechargeable tank/pen or other devices. Ice users had greater odds of past 30-day combustible tobacco use versus menthol/mint users (OR=2.7, 95% CI (1.3 to 5.7)) and vaping dependence symptoms than versus sweet/fruit users (OR=2.6, 95% CI (1.5 to 4.4)).ConclusionYoung adult use of ice flavoured e-cigarettes may be common and positively associated with combustible tobacco use, nicotine vaping frequency and dependence and use of disposable e-cigarette devices. Further study of the prevalence, determinants and health effects of ice flavoured e-cigarette use is warranted.

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Residential Mobility, Transience, Depression, and Marijuana Use Initiation Among Adolescents and Young Adults

Substance Abuse Research and Treatment ◽

10.1177/1178221817711415 ◽

2017 ◽

Vol 11 ◽

pp. 117822181771141 ◽

Cited By ~ 3

Author(s):

Cristie Glasheen ◽

Valerie L Forman-Hoffman ◽

Jason Williams

Keyword(s):

Young Adults ◽

Mental Health Professionals ◽

Residential Mobility ◽

High Mobility ◽

School Personnel ◽

Marijuana Use ◽

Young Adolescents ◽

Physical And Mental Health ◽

Logistic Regression Models ◽

The Past

Marijuana use initiation is associated with numerous health and behavioral consequences, particularly among young adolescents. Finding easily identifiable risk markers for marijuana initiation is an important step for targeting primary and secondary prevention efforts. This study used data from the 2010-2014 National Survey on Drug Use and Health to evaluate the association between residential mobility (no mobility, low mobility, high mobility [ie, transience]), and major depressive episode(s) (MDE) on marijuana initiation among adolescents (12-17) and young adults (18-20). Age-stratified logistic regression models indicated that among 12- to 13-year-old adolescents, mobility in the past 5 years and past year MDE have a multiplicative effect on the odds of past year marijuana initiation. Among adolescents aged 14 to 15 years, both mobility and MDE were independently associated with marijuana initiation, but there was no interaction. Among older adolescents (aged 16-17 years), only transience (⩾3 moves in the past 5 years) was associated with marijuana use initiation, and although MDE was significantly associated with marijuana initiation, there was no interaction with mobility. Among young adults, mobility was not associated with marijuana initiation. Residential mobility among young adolescents is an easily identifiable risk marker that may serve as an indicator for physical and mental health professionals, school personnel, and parents to use in targeting both depression and marijuana prevention efforts.

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Socio-economic and cultural disparities in diet among adolescents and young adults: a systematic review

Public Health Nutrition ◽

10.1017/s1368980019002362 ◽

2019 ◽

Vol 23 (5) ◽

pp. 843-860 ◽

Cited By ~ 1

Author(s):

Lucille Desbouys ◽

Caroline Méjean ◽

Stefaan De Henauw ◽

Katia Castetbon

Keyword(s):

Systematic Review ◽

Young Adults ◽

Fruits And Vegetables ◽

Economic Status ◽

Adolescents And Young Adults ◽

Food Groups ◽

High Quality ◽

Cross Sectional ◽

Socio Economic Status ◽

Sweetened Beverages

AbstractObjective:To explore dietary differences according to socio-economic and sociocultural characteristics of adolescents and young adults.Design:A systematic review was conducted.Setting:The main search source was MEDLINE, consulted between January 2012 and March 2017. Quality of selected studies was assessed based on dietary measurement method, sample selection, socio-economic indicator choice and statistical modelling.Participants:Cross-sectional and longitudinal studies, assessing relationships between socio-economic status and dietary intake (patterns, scores and food groups) in the 10- to 40-year-old general population of high-income countries, were selected.Results:Among the 7250 reports identified, forty were selected, seventeen of which were of high quality; their conclusions, related only to adolescents, were combined and presented. The most favourable dietary patterns, higher dietary scores, greater consumption of fruits, vegetables and dairy products, and lower consumption of sugary sweetened beverages and energy-dense foods, were associated with better parental socio-economic status, particularly in terms of higher education. Migrant status was associated with plant-based patterns, greater consumption of fruits and vegetables and of sugary sweetened beverages and energy-dense foods. For the other food groups, and for young adults, very few high-quality studies were found.Conclusions:The socio-economic gradient in adolescent diets requires confirmation by higher-grade studies of a wider set of food groups and must be extended to young adult populations. Future nutritional interventions should involve the most vulnerable adolescent populations, taking account of socio-economic status and migration.

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Effectiveness of mobile produce markets in increasing access and affordability of fruits and vegetables among low-income seniors

Public Health Nutrition ◽

10.1017/s1368980020002931 ◽

2020 ◽

Vol 23 (17) ◽

pp. 3226-3235

Author(s):

Reece Lyerly ◽

Pasquale Rummo ◽

Sarah Amin ◽

Whitney Evans ◽

Eliza Dexter Cohen ◽

...

Keyword(s):

Rhode Island ◽

Low Income ◽

Fruits And Vegetables ◽

Economic Status ◽

Cross Sectional Survey ◽

Cross Sectional ◽

Assistance Program ◽

Logistic Regression Models ◽

Populations At Risk ◽

Nutrition Assistance

AbstractObjective:Mobile produce markets (MPM) offering Supplemental Nutrition Assistance Program (SNAP) incentive programmes have the potential to provide accessible and affordable fruits and vegetables (FV) to populations at risk of food insecurity. The objective of this study is to characterise the customer base of an MPM and describe their participation at twelve market sites serving low-income seniors.Design:In 2018, customers from an MPM in Rhode Island (RI) participated in a cross-sectional survey (n 330; 68 % response rate), which measured dietary patterns, food security and food shopping behaviours. We compared the shopping habits and market experiences of customers who currently received SNAP benefits with those who did not currently receive SNAP benefits.Setting:An MPM in RI which offers a 50 % discount for FV purchased with SNAP benefits.Participants:This study describes current market customers at twelve market sites serving low-income seniors.Results:Market customers were mostly low-income, female, over the age of 50 years and Hispanic/Latino. Most customers received SNAP benefits, and almost half were food insecure. In addition, three quarters of SNAP customers reported their SNAP benefits last longer since shopping at the markets. Mixed logistic regression models indicated that SNAP customers were more likely to report buying and eating more FV than non-SNAP customers.Conclusions:MPM are critical resources of affordable produce and have been successful in improving access to FV among individuals of low socio-economic status in RI. This case study can inform policy and programme recommendations for MPM and SNAP incentive programmes.

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E-cigarette use among US adolescents: Perceptions of relative addiction and harm

Health Education Journal ◽

10.1177/0017896916671762 ◽

2016 ◽

Vol 76 (3) ◽

pp. 293-301 ◽

Cited By ~ 6

Author(s):

Page Daniel Dobbs ◽

Bart Hammig ◽

Leah Jean Henry

Keyword(s):

High School Students ◽

Grade Level ◽

Regression Models ◽

Cigarette Use ◽

Multivariate Logistic Regression ◽

School Students ◽

Cross Sectional ◽

Logistic Regression Models ◽

Cross Sectional Design ◽

People’S Perceptions

Objective: Between 2013 and 2014, past 30-day use of e-cigarettes increased from 4.5% to 13.4% among US high school students aged 9–19 years. We sought to examine the influence of perceived addiction and harm of e-cigarettes on e-cigarette use among adolescents. Design: Self-reported use and perception of harm of e-cigarettes were assessed using a cross-sectional design. Setting: Data were collected from the 2014 National Youth Tobacco Survey. Method: Multivariate logistic regression models were employed regressing lifetime e-cigarette use and past 30-day use on established covariate factors. Results: Perceiving e-cigarettes as less harmful than conventional cigarettes increased students’ odds of lifetime use (odds ratio [ OR] = 2.40, 95% confidence interval [ CI] = 1.98–2.90) and past 30-day use ( OR = 2.18, 95% CI = 1.63–2.92) of e-cigarettes. Perceiving e-cigarettes as less addictive than conventional cigarettes also increased students’ odds of lifetime use ( OR = 2.11, 95% CI = 1.82–2.45) and past 30-day use ( OR = 1.93, 95% CI = 1.57–2.38) of e-cigarettes; however, perceiving e-cigarettes as more addictive than conventional cigarettes also increased students’ odds of lifetime use ( OR = 1.85, 95% CI = 1.37–2.49) and past 30-day use ( OR = 2.68, 95% CI = 1.84–3.90) of e-cigarettes. Other influencing factors of e-cigarette use among youth included race, grade level, living with a smoker and lifetime use of regular cigarettes. Conclusion: The perception that e-cigarettes are less addictive and harmful than their conventional counterparts may be an important risk factor for the use of e-cigarettes. Factors influencing young people’s perceptions need to be examined further.

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Screen time exposure and reporting of headaches in young adults: A cross-sectional study

Cephalalgia ◽

10.1177/0333102415620286 ◽

2016 ◽

Vol 36 (11) ◽

pp. 1020-1027 ◽

Cited By ~ 17

Author(s):

Ilaria Montagni ◽

Elie Guichard ◽

Claire Carpenet ◽

Christophe Tzourio ◽

Tobias Kurth

Keyword(s):

Young Adults ◽

Screen Time ◽

Migraine Headache ◽

Multinomial Logistic Regression ◽

Cross Sectional Study ◽

Sectional Study ◽

Cross Sectional ◽

Logistic Regression Models ◽

Time Exposure ◽

Increased Risk

Objective The objective of this article is to investigate whether excessive screen time exposure is associated with non-migraine headache and migraine in young adults. Background Increased levels of television time have been associated with increased risk of headache. However, time spent using newer electronic devices with a screen (smartphone, tablet) has not been examined yet. Methods We conducted a cross-sectional study among 4927 participants of the French i-Share cohort. Demographic characteristics, screen time exposure (computers, tablets, smartphones and television) as well as headache/migraine symptoms were recorded in a standardized questionnaire. Multinomial logistic regression models were used to evaluate the association between screen time exposure and headache status. Results Participants had a mean age of 20.8 years and 75.5% were female. The multivariable model showed that students in the highest screen time exposure quintile had an increased risk for migraine. The odds ratio (OR) (95% confidence interval (CI)) was 1.37 (1.14 to 1.66) for migraine when compared with students without headache and with low screen time exposure. This association was somewhat stronger for migraine without aura (OR = 1.50, 95% CI 1.19 to 1.89). We found no significant association between screen time exposure and non-migraine headache. Conclusion High levels of screen time exposure are associated with migraine in young adults. No significant association was found with non-migraine headache.

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Identifying victims of violence using register-based data

Scandinavian Journal of Public Health ◽

10.1177/1403494810377682 ◽

2010 ◽

Vol 38 (6) ◽

pp. 611-617 ◽

Cited By ~ 6

Author(s):

Marie Kruse ◽

Jan Sørensen ◽

Henrik Brønnum-Hansen ◽

Karin Helweg-Larsen

Keyword(s):

Causes Of Death ◽

Economic Status ◽

Large Data ◽

Reference Population ◽

Ethnic Origin ◽

Data Sources ◽

Cross Sectional ◽

Logistic Regression Models ◽

Study Population ◽

Victims Of Violence

Aims: The aim of this study was twofold. Firstly we identified victims of violence in national registers and discussed strengths and weaknesses of this approach. Secondly we assessed the magnitude of violence and the characteristics of the victims using register-based data. Methods: We used three nationwide registers to identify victims of violence: The National Patient Register, the Victim Statistics, and the Causes of Death Register. We merged these data and assessed the degree of overlap between data sources. We identified a reference population by selecting all individuals in Denmark over 15 years of age that had not been exposed to violence. For the study population and the reference population, socioeconomic and demographic information were retrieved from Statistics Denmark. We used logistic regression models in a cross-sectional analysis to identify characteristics of victims of violence. Results: In 2006, 22,000 individuals were registered as having been exposed to violence. About 70% of these victims were men. Most victims were identified from emergency room contacts and police records, and few from the Causes of Death Register. There was some overlap between the two large data sources. We found significant differences between victims and non-victims according to socio-economic status, education, marital status, and ethnic origin, and also between victims by source of identification. Conclusions: We have identified a study population consisting of individual victims of violence that opens for further studies on violence. The use of different data sources is a strength but also a potential weakness to epidemiological, health economic, and other analyses using these data.

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Young Adult E-cigarette Use and Retail Exposure in 6 US Metropolitan Areas

Tobacco Regulatory Science ◽

10.18001/trs.7.1.5 ◽

2021 ◽

Vol 7 (1) ◽

pp. 59-75

Author(s):

Carla J Berg ◽

Xuejing Duan ◽

Betelihem Getachew ◽

Kim Pulvers ◽

Natalie D. Crawford ◽

...

Keyword(s):

Young Adults ◽

Young Adult ◽

Metropolitan Areas ◽

Media Exposure ◽

Marijuana Use ◽

Baseline Survey ◽

Common Source ◽

Cigarette Use ◽

Age Verification ◽

Vape Shops

Objectives: Given the need to understand e-cigarette retail and its impact, we examined so- ciodemographic, tobacco and marijuana use, and e-cigarette retail experiences as correlates of (1) past 30-day e-cigarette use, (2) past 30-day advertising/media exposure, and (3) point-of-sale age verification among young adults. Methods: We analyzed baseline survey data (September- December, 2018) among 3006 young adults (ages 18-34) in 6 metropolitan areas (Atlanta, Boston, Minneapolis, Oklahoma City, San Diego, Seattle) in a 2-year longitudinal study. Results: In this sample (Mage = 24.6, 42.3% male, 71.6% white, 11.4% Hispanic), 37.7% (N = 1133) were past 30-day e-cigarette users; 68.6% (N = 2062; non-users: 66.0%, users: 72.9%) reported past 30-day e-cigarette-related advertising/media exposure. Among e-cigarette users, vape shops were the most common source of e-cigarettes (44.7%) followed by online (18.2%). Among users, 34.2% were "almost always" asked for age verification. In multilevel logistic regression, e-cigarette use and advertising/media exposure were correlated (and both correlated with being younger). E- cigarette use also correlated with other tobacco product and marijuana use (and being male and white). Infrequent age verification correlated with commonly purchasing e-cigarettes online (and being older and black). Conclusions: Increased efforts are needed to reduce young adult advertising/media exposure and increase retailer compliance among retailers, particularly online and vape shops.

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