Associations between frequency of cigarette and alternative tobacco product use and depressive symptoms: A longitudinal study of young adults

Serious psychological distress and higher associations with tobacco and cannabis use among college students in the United States

OBJECTIVE

To examine associations between serious psychological distress (SPD) and tobacco and cannabis use among college students in the United States.

METHODS

This cross-sectional study included 257,626 college students from the 2019-2022 National College Health Assessment survey. SPD was defined as having symptoms in the past month. Current tobacco (i.e., cigarettes, e-cigarettes) and cannabis use was defined as past month use. Multiple product use was categorized for single, dual, or triple products. Adjusted logistic regression models were used to examine associations between SPD, tobacco, cannabis, and multiple product use.

RESULTS

SPD increased over time (18.4% to 23.8%) among students and nearly 30% of tobacco or cannabis users reported SPD. Cigarette, e-cigarette, or cannabis use was associated with about a 50-60% increased likelihood of reporting SPD than non-current use of each product, with the highest associations in Fall 2020. Triple product users had double the likelihood of reporting SPD, followed by dual users at 70% and single users at 47%, relative to non-current users. Daily users also had nearly twice the likelihood of reporting SPD, followed by non-daily users at 13-35%, relative to non-current users.

CONCLUSIONS

College students have an increasing burden of SPD which is significantly associated with tobacco and cannabis use. There is a dose-response relationship between the number of tobacco and cannabis products used, as well as the frequency of use, and SPD among U.S. college students. Colleges addressing student mental health should prioritize the implementation of screening and treatment support for tobacco, cannabis, and multiple product use.

Past-Year Mental Illness Diagnosis and E-cigarette Use Status Among a College-Aged Sample: Findings From the National College Health Assessment (2017-2019)

PURPOSE

To examine associations between past-year mental illness (MI) diagnoses and e-cigarette use status.

DESIGN

Data were obtained from the National College Health Assessment, a nationally recognized cross-sectional survey of university students.

SETTING

Participants were recruited from 2-year and 4-year public and private universities across the United States from 2017-2019.

SUBJECTS

The analytic sample included 277 291 university students.

MEASURES

Self-reported past-year MI diagnosis, binarily coded, served as the primary predictor. The outcome was e-cigarette use status (never, noncurrent, and current user).

ANALYSIS

Multinomial logistic regression models were used to estimate relative risk ratios (RRR) of e-cigarette use, as predicted by past-year MI diagnoses, age, race/ethnicity, sex and gender, sexual identity, geographic region, and other combustible tobacco, alcohol, and marijuana use.

RESULTS

Compared to those who had never received any MI diagnosis in the past year, those who did had a 16% higher relative risk (RRR = 1.16, 95% CI: 1.11, 1.20) of being a noncurrent e-cigarette user and a 33% higher relative risk (RRR = 1.33, 95% CI: 1.28, 1.38) of being a current e-cigarette user. Schizophrenia, substance use or addiction, bipolar disorder, and attention deficit and hyperactivity disorder (ADHD) diagnoses demonstrated the strongest associations with noncurrent and current e-cigarette use.

CONCLUSION

Results suggest the need to screen young adults for e-cigarette use and mental health indicators to facilitate early detection and timely intervention for at-risk university students.

E-cigarette use or dual use of E-cigarette and combustible cigarette and mental health and cognitive impairment: Findings from the National Health Interview Survey, 2020-2021

BACKGROUND

Studies on the association between e-cigarette use and mental health are mostly among adolescents and young adults, leaving limited evidence of this association among general US adults. Besides, few studies have examined how e-cigarette use or dual use of e-cigarette and combustible cigarette is related to cognitive function.

METHODS

Cross-sectional data of 56,734 adults from the 2020-2021 National Health Interview Survey were analyzed. Weighted multivariable logistic regression models were applied to examine the independent association between e-cigarette use or dual use and anxiety symptoms, depression symptoms, serious psychological distress (SPD), and cognitive impairment.

RESULTS

Compared with never e-cigarette users, current e-cigarette users had 2.10-fold (95 % CI: 1.84, 2.39), 2.53-fold (95 % CI: 2.13, 3.00), 2.02-fold (95 % CI: 1.47, 2.76), and 2.00-fold (95 % CI: 1.47, 2.72) higher odds of reporting anxiety symptoms, depression symptoms, SPD, and cognitive impairment, respectively. Former e-cigarette use was also associated with all three mental conditions and cognitive impairment (AOR ranged from 1.38 to 2.53, all P < 0.01). Dual users were more likely to report all three mental conditions and cognitive impairment than those who never used combustible cigarette and e-cigarette (AOR ranged from 1.89 to 2.83, all P < 0.01). Dual users also had a greater likelihood of having anxiety or depression symptoms than exclusive combustible cigarette users (AOR ranged from 1.46 to 1.47, all P < 0.01).

CONCLUSIONS

E-cigarette use or dual use is associated with poor mental health and cognitive impairment among US adults. Regulations on e-cigarette use are needed to prevent mental illness and improve cognitive function.

The Associations of Physical Activity and Health-Risk Behaviors toward Depressive Symptoms among College Students: Gender and Obesity Disparities

Engaging in health-risk behaviors (HRBs) may be correlated with depressive symptoms among college students, but these relationships require more research. The purpose of this study was to examine the associations of physical activity levels (i.e., light [LPA] and moderate-vigorous [MVPA]) and HRBs (i.e., sedentary behavior [screen-based and non-screen-based behavior] and cigarette and e-cigarette tobacco use) with depressive symptoms in a sample of college students. Physical activity levels and HRBs were assessed through validated questionnaires. In total, 366 students participated (Mage = 22.59 ± 3.54; 60.1% female; 52.9% normal weight). E-cigarette use in males (β = 0.23, p < 0.05) and screen-based sedentary behavior in females (β = 0.14, p < 0.05) showed significant predictive utility toward depressive symptoms. In the overweight/obese group, screen-based sedentary behaviors (β = 0.19, p < 0.05) and e-cigarette use (β = 0.23, p < 0.01) showed significant predictive utility toward depressive symptoms. Females reported higher levels of depressive symptoms (Mfemale = 18.23 vs. Mmale = 14.81; η2 = 0.03) and less MVPA (Mmale = 52.83 vs. Mfemale = 41.09; η2 = 0.06) than males. Enhancing mental health by improving physical activity and eliminating HRBs should be tailored toward at-risk demographics.

Associations between tobacco and cannabis use and anxiety and depression among adults in the United States: Findings from the COVID-19 citizen science study

BACKGROUND

Little is known about whether people who use both tobacco and cannabis (co-use) are more or less likely to have mental health disorders than single substance users or non-users. We aimed to examine associations between use of tobacco and/or cannabis with anxiety and depression.

METHODS

We analyzed data from the COVID-19 Citizen Science Study, a digital cohort study, collected via online surveys during 2020-2022 from a convenience sample of 53,843 US adults (≥ 18 years old) nationwide. Past 30-day use of tobacco and cannabis was self-reported at baseline and categorized into four exclusive patterns: tobacco-only use, cannabis-only use, co-use of both substances, and non-use. Anxiety and depression were repeatedly measured in monthly surveys. To account for multiple assessments of mental health outcomes within a participant, we used Generalized Estimating Equations to examine associations between the patterns of tobacco and cannabis use with each outcome.

RESULTS

In the total sample (mean age 51.0 years old, 67.9% female), 4.9% reported tobacco-only use, 6.9% cannabis-only use, 1.6% co-use, and 86.6% non-use. Proportions of reporting anxiety and depression were highest for the co-use group (26.5% and 28.3%, respectively) and lowest for the non-use group (10.6% and 11.2%, respectively). Compared to non-use, the adjusted odds of mental health disorders were highest for co-use (Anxiety: OR = 1.89, 95%CI = 1.64-2.18; Depression: OR = 1.77, 95%CI = 1.46-2.16), followed by cannabis-only use, and tobacco-only use. Compared to tobacco-only use, co-use (OR = 1.35, 95%CI = 1.08-1.69) and cannabis-only use (OR = 1.17, 95%CI = 1.00-1.37) were associated with higher adjusted odds for anxiety, but not for depression. Daily use (vs. non-daily use) of cigarettes, e-cigarettes, and cannabis were associated with higher adjusted odds for anxiety and depression.

CONCLUSIONS

Use of tobacco and/or cannabis, particularly co-use of both substances, were associated with poor mental health. Integrating mental health support with tobacco and cannabis cessation may address this co-morbidity.

Depressive symptoms and vaping: The mediating effect of outcome expectancies among young adults

OBJECTIVE

The purpose of the present study was to determine if positive affect reinforcement and social enhancement outcome expectancies mediate the longitudinal association between depressive symptoms and frequency of electronic nicotine delivery systems (ENDS) use one year later among young adults.

METHOD

Participants were 1567 young adults participating in the first three waves of the Marketing and Promotions Across Colleges in Texas project. At Wave 1 participants were 18-25 years old (M = 20.27; SD = 1.86), 61.46% female; 36.25% non-Hispanic white, 33.95% Hispanic/Latino, 14.10% Asian, 7.72% African American/Black, 7.98% two or more races/ethnicities or another race/ethnicity. The independent variable, depressive symptoms, was assessed with the CES-D-10 at Wave 1. The mediating variables, positive affect reinforcement and social enhancement ENDS outcome expectancies were assessed using items adapted from the Youth Tobacco Survey at Wave 2 six months later. The outcome variable was frequency of past 30-day ENDS use at Wave 3, one year after Wave 1. A mediation model was used to test the study hypothesis.

RESULTS

Positive affect reinforcement ENDS outcome expectancies (b = 0.013, SE = 0.006, Bootstrap 95%CI: [0.003, 0.025]), but not social enhancement expectancies (b = -0.004, SE = 0.003, Bootstrap 95%CI: [-0.010, 0.0003]), mediated the positive association between elevated depressive symptoms and frequency of ENDS use one year later.

CONCLUSION

Results indicate young adults experiencing elevated depressive symptoms may use ENDS at a greater frequency than their peers because they believe ENDS use will alleviate stress, increase relaxation and/or concentration.

Are health behaviors associated with mental health among tertiary education students? A systematic review of cohort studies

OBJECTIVE

To evaluate the association between health behaviors with mental health among tertiary education students.

METHODS

Six databases were searched until September 2021 for prospective cohort studies evaluating the association between health behavior(s) (dietary intake, physical activity, sedentary behavior, alcohol intake, sleep, smoking or illicit drug use) and mental health. Two independent reviewers screened records for inclusion, extracted data and completed risk of bias assessments.

RESULTS

33 studies were included (14 assessed sleep, 14 alcohol intake, 13 physical activity, 8 smoking, 6 sedentary behavior, 4 diet, 1 illicit drug use). A consistent association between poor sleep, and physical inactivity with increased risk of poor psychological wellbeing, and between poor sleep and increased mental ill-health related outcomes was demonstrated.

CONCLUSION

Findings suggest interventions to address poor sleep and physical inactivity among students may positively impact mental health. Further research of other health behaviors, and their association with mental health, is required.

Symptoms of Depression and Anxiety and Subsequent Use of Nicotine and THC in Electronic Cigarettes

BACKGROUND

This study examines whether symptoms of depression, anxiety, or comorbid depression and anxiety are associated with future use of nicotine or THC in e-cigarettes.

METHODS

Data were from an online survey of youth and young adults in urban areas of Texas with complete data (n = 2,307) in spring 2019 (baseline) and spring 2020 (12-month follow-up). Multivariable logistic regression models examined associations between self-reported symptoms of depression, anxiety, or comorbid depression and anxiety at baseline and past 30-day e-cigarette use with nicotine or THC at 12-month follow-up. Analyses adjusted for baseline demographics and baseline past 30-day e-cigarette, combustible tobacco, marijuana, and alcohol use and stratified by race/ethnicity, gender, grade level, and SES.

RESULTS

Participants were 16-23 years old, 58.1% female and 37.9% Hispanic. At baseline, 14.7% reported symptoms of comorbid depression and anxiety, 7.9% depression, and 4.7% anxiety. Prevalence of past 30-day e-cigarette use at 12-month follow-up was 10.4% with nicotine and 10.3% with THC. Symptoms of depression and comorbid depression and anxiety at baseline were significantly associated with both nicotine and THC use in e-cigarettes 12 months later. Symptoms of anxiety were associated with nicotine use in e-cigarettes 12 months later.

CONCLUSIONS

Symptoms of anxiety and depression may be important indicators of future nicotine and THC vaping among young people. Clinicians should be aware of groups most at risk who may benefit from substance use counseling and intervention.

Factors affecting tobacco, nicotine, and cannabis product use among California young adults during the COVID-19 pandemic: A qualitative study

The effects of COVID-19 on tobacco use and cannabis has been variable, and it is unclear the extent to which factors affecting changes in tobacco and cannabis use differ. The purpose of this study was to identify the COVID-19-related factors that affect changes in tobacco and cannabis use during the pandemic. Focus groups with 114 young adults in California in April 2021 were held to discuss tobacco and cannabis use patterns, adverse events, and the effect of COVID-19 on tobacco and cannabis product use. Factors affecting changes in use were largely similar between tobacco products and cannabis products. Drivers of increased cannabis use distinct from tobacco or nicotine product use included feeling greater freedom to disengage and perceptions of less harm. Increases in product use were a result of changing social environment, coping with emotional and psychological distress, and product related factors. Decreases in product use were a result of social isolation, COVID-19-related health concerns, disruptions in daily patterns of living, and reduced access. Improved understanding of how the pandemic has affected tobacco and cannabis use can inform tailored interventions to both support those who have decreases or quit and assist those who have increased use during the pandemic to reduce or cease their consumption.

Bidirectional associations between depressive symptoms and cigarette, e-cigarette, cannabis, and alcohol use: Cross-lagged panel analyses among young adults before and during COVID-19

BACKGROUND

The literature regarding bidirectional relationships of depressive symptoms to cigarette and alcohol use is mixed, and limited regarding e-cigarette and cannabis use. Moreover, COVID-19 has significantly impacted mental health and substance use, especially among young adults. Thus, this is a critical period for focused research on these relationships among young adults.

METHODS

We analyzed longitudinal data (assessments in Fall 2018, 2019, and 2020) from 3,006 young adults (Mage = 24.56 [SD = 4.72], 54.8% female, 31.6% sexual minority, 71.6% White, 5.3% Black, 12.2% Asian, 11.4% Hispanic) from 6 US metropolitan statistical areas. Cross-lagged panel models were conducted to examine bidirectional associations between depressive symptoms and past 30-day use of cigarettes, e-cigarettes, cannabis, and alcohol (respectively), controlling for sociodemographics.

RESULTS

During the study period, depressive symptoms decreased before the pandemic but increased during, cigarette and e-cigarette use decreased in both periods, alcohol use showed no change before but increases during the pandemic, and cannabis use increased in both periods. Additionally, each outcome demonstrated greater stability before versus during COVID-19. Finally, greater antecedent depressive symptoms correlated with more days of subsequent cigarette (β = 0.03, SE = 0.01, p =.011) and e-cigarette use (β = 0.03, SE = 0.01, p =.021), but fewer days of alcohol use (β = -0.02, SE = 0.01, p =.035). W2 cannabis use and alcohol use, respectively, were related to W3 depressive symptoms (cannabis: β = 0.09, SE = 0.02, p <.001; alcohol: β = 0.06, SE = 0.02, p =.002). No other cross-lagged associations were significant.

CONCLUSIONS

Intervention efforts targeting depression and substance use should explicitly address the potential for onset and escalation of substance use and depressive symptoms, respectively, especially during societal stressors.

Duration of Keeping an Exercise Habit and Mental Illness and Life Attitude among University Students

Physical exercise has beneficial effects on human health, and several studies have examined the association between exercise and mental health. However, most of these studies focused on exercise intensity, duration, or frequency. Evidence for the association between the duration of maintaining an exercise habit and mental illness is lacking, especially in young adulthood-a crucial period that bridges adolescence and adulthood. This study investigated the association between the duration of keeping an exercise habit and mental illness and life attitude among Chinese university students. A total of 11,392 university students participated in this study (6866 men and 4526 women). The duration of keeping an exercise habit was evaluated using a questionnaire with relevant questions. Exercise habit was defined as exercising for longer than 30 min per session and more than twice a week. Mental illness consisted of two elements: depressive symptoms-assessed using the Zung Self-rating Depression Scale, and anxiety symptoms-assessed using the seven-item Generalized Anxiety Disorder scale. Life attitude was assessed using a questionnaire with relevant questions. Multivariate logistic regression analysis examined the adjusted association between the duration of keeping an exercise habit and mental illness and life attitude. In the final adjusted model, compared to the no exercise category, the odds ratios and 95% confidence intervals (CIs) of depressive symptoms were 0.80 (0.70, 0.91) for those with an exercise habit of 1-4 months, and 0.72 (0.63, 0.83) for those with one of >4 months (p for trend <0.001). Additionally, when compared to participants with no exercise habit, the adjusted odds ratios (95% CIs) for anxiety symptoms were 1.01 (0.90, 1.14) for those with a habit of 1-4 months and 0.78 (0.69, 0.88) for those with one of >4 months (p for trend =0.001). A longer duration of keeping an exercise habit was also significantly associated with positive life attitudes. Our results showed that a long duration of keeping an exercise habit was significantly associated with a lower prevalence of mental illness among university students. Further, maintaining a more prolonged exercise habit may benefit individuals' mental health in young adulthood.

Substance use, microbiome and psychiatric disorders

Accumulating evidence from several studies has shown association between substance use, dysregulation of the microbiome and psychiatric disorders such as depression, anxiety, and psychosis. Many of the abused substances such as cocaine and alcohol have been shown to alter immune signaling pathways and cause inflammation in both the periphery and the central nervous system (CNS). In addition, these substances of abuse also alter the composition and function of the gut microbiome which is known to play important roles such as the synthesis of neurotransmitters and metabolites, that affect the CNS homeostasis and consequent behavioral outcomes. The emerging interactions between substance use, microbiome and CNS neurochemical alterations could contribute to the development of psychiatric disorders. This review provides an overview of the associative effects of substance use such as alcohol, cocaine, methamphetamine, nicotine and opioids on the gut microbiome and psychiatric disorders involving anxiety, depression and psychosis. Understanding the relationship between substance use, microbiome and psychiatric disorders will provide insights for potential therapeutic targets, aimed at mitigating these adverse outcomes.

Investigating the reciprocal temporal relationships between tobacco consumption and psychological disorders for youth: an international review

OBJECTIVE

To investigate reciprocal temporal relationships between tobacco consumption and psychological disorders for youth.Design: Review DATA SOURCES: Five databases (PubMed, Embase, Scopus, CINAHL and PsycINFO) on 26 September 2019 and updated on 11 May 2021, indexing tobacco, mental illness and longitudinal.Study selection: Methods used consensus and multiple reviewers.

INTERVENTIONS

Cohort studies (n=49) examining tobacco and selected psychological disorders (depression, anxiety, bipolar, psychosis, borderline personality disorder) among youth, and systematic reviews (n=4) of these relationships met inclusion criteria.

PRIMARY AND SECONDARY OUTCOME MEASURES

Effect of tobacco on psychological disorders and effect of psychological disorders on tobacco.

DATA EXTRACTION AND SYNTHESIS

Independent extraction by the first author and checked by final author. Joanna Briggs Institute Critical Appraisal Tools were used for all studies.Included studies had moderate-to-high appraisal scores. We synthesised findings using vote counting for effect direction and descriptive data.

RESULTS

Fifty-three studies were included in the review. Thirteen of 15 studies showed a positive effect direction of tobacco on depression (p<0.001). Six of 12 studies showed a positive effect direction of depression on tobacco (p=0.016). Six of eight studies showed a positive effect direction of tobacco on anxiety (p=0.016). Eleven of 18 studies showed a positive effect direction of anxiety on tobacco (p=0.003). No effect between tobacco and bipolar, or tobacco and psychosis was found. No studies examined tobacco and borderline personality disorder.

CONCLUSIONS

Reciprocal relationships existed between tobacco and both depression and anxiety for youth, though causality is unconfirmed. No positive effect direction was found between tobacco and psychosis, perhaps because nicotine has conflicting effects on psychosis. For other relationships examined, evidence was weak because of low number of studies. More research to inform prevention and early intervention is needed.

PROSPERO REGISTRATION NUMBER

CRD42020150457.

Passive exposure to e-cigarette emissions is associated with worsened mental health

BACKGROUND

Cigarette smoking, secondhand cigarette smoke (SHS) exposure, and e-cigarette use ("vaping") are each associated with increased rates of depressive symptoms and other internalizing mental health disorders. The prevalence of vaping has increased greatly, yet the mental health correlates of secondhand exposure to e-cigarette emissions are as yet to be investigated. This study examined the potential adverse mental health outcomes associated with different tobacco exposures (direct and passive), with a particular focus on the mental health correlates of secondhand exposure to e-cigarette emissions.

METHODS

The Population Assessment of Tobacco and Health Study data collected from a sample of 16,173 Wave 4 adults were used to test the hypothesis that secondhand e-cigarette emissions exposure is associated with increased odds of internalizing mental health disorders. Individuals were categorized as exclusive cigarette smokers, exclusive e-cigarette users, cigarette and e-cigarette dual users, exclusive noncombustible tobacco users, secondhand smoke exposed non-users, secondhand e-cigarette emissions exposed non-users, and non-users with no current SHS/secondhand e-cigarette aerosol exposure. Adjusted weighted logistic regression analysis was used to investigate the association between exposure type and internalizing problems as assessed by scores on the Global Appraisal of Individual Needs-Short Screener (GAIN-SS), a widely used instrument for assessing mental health problems.

RESULTS

Cigarette smokers (AOR = 2.53, 95% CI: 2.19-2.92), e-cigarette users (AOR = 3.14, 2.41-4.09), dual users (AOR = 3.37, 2.85-4.00), noncombustible tobacco users (AOR = 1.48, 1.01-2.17), SHS exposed non-users (AOR = 1.63, 1.37-1.94), and secondhand e-cigarette emissions exposed non-users (AOR = 1.43, 1.03-1.99) were each associated with increased odds of moderate to severe internalizing mental health problems as compared to unexposed non-users. Odds of internalizing problems among SHS and secondhand e-cigarette emissions exposed non-users did not differ (p = 0.46).

CONCLUSIONS

This is the first study, to our knowledge, to identify an association between recent secondhand exposure to e-cigarette emissions and mental health problems, and the risk is comparable to that of SHS. Corroboration of this relationship needs further research to explicate directionality and mechanisms underlying this association.

Physical and mental health outcomes associated with adolescent E-cigarette use

INTRODUCTION

Use of electronic cigarettes (e-cigarette) and other electronic nicotine delivery systems (ENDS) among adolescents has increased dramatically, creating a need for research to examine the consequences of e-cigarette use on adolescent health. Given the emergent state of the research literature, this integrative review sought to summarize what is currently known about the physical and mental health outcomes associated with e-cigarette use in an adolescent population, and to identify directions for future research.

METHOD

The methodology for this integrative review was based on the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines. A methodical search was conducted in February 2020 in PubMed, CINAHL, and Web of Science databases. To be eligible for inclusion, studies had to address e-cigarette use, have samples that were between 13 and 24 years of age, be published in a peer-reviewed journal, and examine health outcomes associated with e-cigarette use. After the screening process, 18 studies were included.

RESULTS

Physical health outcomes associated with e-cigarette use included oral health and respiratory problems as well as nicotine dependence. Mental health outcomes included depression and suicidal ideation. In studies that compared e-cigarette use to conventional cigarette use and non-use, e-cigarettes tended to be associated with more problems than non-use, but fewer problems than conventional cigarette use. Dual use, that is, use of both conventional cigarettes and e-cigarettes, was associated with the greatest harm.

CONCLUSION

Although somewhat less harmful than conventional cigarettes, e-cigarette use is related to a variety of negative physical and mental health outcomes among adolescent users.

College Student E-Cigarette Users' Knowledge about E-Cigarettes: Ingredients, Health Risks, Device Modifications, and Information Sources

Although college students represent a growing demographic of e-cigarette users, it is unclear how knowledgeable they are about the product they use. The lack of such knowledge could result in unsafe practices and greater health risks. Therefore, the purpose of the current study was to examine college student e-cigarette users’ knowledge about e-cigarette ingredients and health risks, how often they modify their devices, and whether they utilize reputable sources when searching for information regarding e-cigarettes. The participants were 183 undergraduate e-cigarette users (M_age = 19.98, SD = 1.98; 71.6% female; 85.8% White). Most participants correctly recognized that e-cigarettes increase the risk of cardiovascular disease and lung disease, but fewer than half recognized the increased risk of seizures and depression. Only one-third to one-half of participants correctly identified the toxic compounds commonly found in e-cigarettes, and most indicated that they would consult Google or a friend with questions about e-cigarettes. College student e-cigarette users are well-informed about many health risks associated with e-cigarettes. However, they are relatively unaware of the harmful substances in e-cigarettes and are seeking information from less reliable sources. Targeted public health campaigns educating college students about e-cigarettes, including where to seek reliable information, are needed.

The adverse health effects of waterpipe smoking in adolescents and young adults: A narrative review

Waterpipe (WP) smoking has rapidly grown in popularity in the United States and other Western countries with the fastest uptake among younger individuals. This growth has been encouraged by the misperception that WP smoke is harmless or less harmful than cigarette smoke. To better understand how WP affects the health of young people, we conducted a narrative review of the literature focusing on the adverse health effects of WP smoking in adolescents and younger adults. We searched scientific literature databases including PubMed, MEDLINE, EMBASE, and ISI Web and selected papers that met the inclusion criteria. Sixty-three papers met the inclusion criteria and were selected for review. Data were abstracted from the selected papers into a standardized table. The evidence demonstrates that WP smoking can cause acute lung infection and injury, and carbon monoxide (CO) poisoning, in adolescents and young adults. It is also associated with adverse subclinical effects in this sub-population, including oral and systemic genotoxicity, lung function decline, and the alteration of vascular and hemodynamic functions. Limited evidence that is available indicates associations with psychological and neurological effects and asthma. No identified publications examined the association between WP use and type 2 diabetes, a condition that is associated with cigarette smoking among young people. WP smoking by younger individuals can result in their hospitalization due to systemic CO poisoning and acute lung disease, and induce subclinical adverse effects in the oral cavity, pulmonary system, and in circulation, that are involved in the pathogenesis of local and systemic chronic diseases.

Longitudinal Impact of Depressive Symptoms and Peer Tobacco Use on the Number of Tobacco Products Used by Young Adults

We examined the role of depressive symptoms in the longitudinal trajectory of the number of tobacco products used across young adulthood, ages 18-30 years, and whether peer tobacco use exacerbated the effects of the depressive symptoms. Participants were 4534 initially 18-25-year-old young adults in the Marketing and Promotions Across Colleges in Texas project (Project M-PACT), which collected data across a 4.5-year period from 2014 to 2019. Growth curve modeling within an accelerated design was used to test study hypotheses. Elevated depressive symptoms were associated with a greater number of tobacco products used concurrently and at least six months later. The number of tobacco-using peers moderated the association between depressive symptoms and the number of tobacco products trajectory. Young adults with elevated depressive symptoms used a greater number of tobacco products but only when they had a greater number of tobacco-using peers. Findings indicate that not all young adults with depressive symptoms use tobacco. Having a greater number of tobacco-using peers may facilitate a context that both models and encourages tobacco use. Therefore, tobacco prevention programs should aim to include peer components, especially for young adults.

Nicotine Inhalation and Suicide: Clinical Correlates and Behavioral Mechanisms

BACKGROUND AND OBJECTIVES

Extensive evidence links smoking and suicide independently of psychiatric diagnoses, but there are questions about the pathophysiology and specificity of this relationship. We examined characteristics of this linkage to identify potential transdiagnostic mechanisms in suicide and its prevention.

METHODS

We reviewed literature that associated suicide with smoking and e-cigarettes, including the temporal sequence of smoking and suicide risk and their shared behavioral risk factors of sensitization and impulsivity.

RESULTS

Smoking is associated with increased suicide across psychiatric diagnoses and in the general population, proportionately to the number of cigarettes smoked per day. Rapid nicotine uptake into the brain through inhalation of conventional cigarettes, electronic cigarettes (e-cigarette), or even second-hand smoke can facilitate long-term sensitization and short-term impulsivity. Both impair action regulation and predispose to negative affect, continued smoking, and suicidal behavior. Intermittent hypoxia, induced by cigarettes or e-cigarettes, synergistically promotes impulsivity and sensitization, exacerbating suicidality. Two other shared behavioral risks also develop negative urgency (combined impulsivity and negative affect) and cross-sensitization to stressors or to other addictive stimuli. Finally, early smoking onset, promoted by e-cigarettes in never-smokers, increases subsequent suicide risk.

CONCLUSION AND SCIENTIFIC SIGNIFICANCE

Prevention or cessation of nicotine inhalation can strategically prevent suicidality and other potentially lethal behavior regardless of psychiatric diagnoses. Medications for reducing smoking and suicidality, especially in younger smokers, should consider the neurobehavioral mechanisms for acute impulsivity and longer-term sensitization, potentially modulated more effectively through glutamate antagonism rather than nicotine substitution. (Am J Addict 2021;30:316-329).

Emotional symptoms and sensation seeking: Implications for tobacco interventions for youth and young adults

INTRODUCTION

Although emotional symptoms and sensation seeking are recognized as important risk factors for tobacco use among youth and young adults, to date, their joint influence on tobacco use has not been examined.

METHODS

Data used in this study are from the Texas Adolescent Tobacco and Marketing Surveillance study, a population-based cohort. At baseline, in 2014, participants were in the 10th grade. Mixed-effects logistic regression models examined associations between emotional symptoms and sensation seeking in 2014 and odds of past 30-day cigarette and e-cigarette use in 2018. Interactions between emotional symptoms and sensation seeking were examined to assess whether one modifies the effect of the other on cigarette and e-cigarette use.

RESULTS

After adjusting for age, sex, race/ethnicity, school type, and ever use of cigarettes or e-cigarettes at baseline, adolescents with high emotional symptoms (AOR_cig=1.97; 95% CI:1.07–3.60, and AOR_e-cig=1.68; 95% CI: 1.06–2.66) and with high sensation seeking tendencies (AOR_cig=2.05; 95% CI: 1.03–4.10, and AOR_e-cig=1.68; 95% CI: 1.02–2.76) had significantly higher odds of past 30-day cigarette and e-cigarette use four years later compared to adolescents with low emotional symptoms and low sensation seeking tendencies. The interaction was significant (p=0.01) for e-cigarette use only; among low sensation seekers, adolescents who reported high levels of emotional symptoms were at increased risk for past 30-day use (AOR_e-cig=3.43; 95% CI: 1.38–8.51), and among adolescents with low emotional symptoms, high sensation seekers were at increased for risk for past 30-day use (AOR_e-cig=3.50; 95% CI: 1.54–7.91).

CONCLUSIONS

It is important for tobacco use prevention programs to consider both behavioral risk factors – sensation seeking and emotional symptoms – in an integrative way, to target high risk subgroups and thereby increase the efficacy of existing effective intervention strategies in order to curb tobacco use among youth and young adults.

Waterpipe smoking, internet addiction and depression: A public health problem trio?

BACKGROUND

Waterpipe smoking and Internet addiction may result in a new public health problem globally. This study aimed to explore waterpipe use among a large group of adolescents and its association with Internet use, mental health, primarily depression and their demographic characteristics.

METHODS

Using a stratified random sampling method, 2054 tertiary school students aged 14-18 years were recruited in 2019. Demographical information and use of tobacco products (eg, waterpipe) were explored and compared with severity of Internet addiction and mental status.

RESULTS

A total of 288 (14.0%) adolescents had ever used waterpipe. Multivariate logistic regression analyses suggested that being male (OR = 2.55 and 95% CI = 1.98-3.30; P = .0001), being depressed (OR = 1.62 and 95% CI = 1.24-2.11) and excessive Internet use (OR = 1.94 and 95% CI = 1.50-2.52; P = .0001) were significantly associated with waterpipe use. Family income and parents' educational status showed no relationship with waterpipe smoking.

CONCLUSIONS

We suggest that adolescents who are depressed and who use the Internet excessively are at an increased risk for waterpipe use, independent of income and parenteral education.

Incidence of depressive symptoms and its association with sociodemographic factors and lifestyle-related behaviors among Brazilian university students

Entering university brings on changes in lifestyle and psychological stress and has been associated with increased risk of 1988 in college students. This study aimed to investigate the incidence of depressive symptoms and associated sociodemographic and lifestyle factors among university students. A dynamic cohort of freshmen was followed up for three years, starting at their entry to university (baseline) and then annually. A structured auto administered questionnaire was applied to obtain information on age, sex, economic class, living situation, smoking and drinking, sedentary and sleep behaviors, and change in physical activity after university admission. Depressive symptoms were assessed using the Patient Health Questionaire-9. Incidence and incidence rate of depressive symptoms were calculated. Poisson Regression with robust variance was used to identify risk factors associated to these disorders. A total of 1,034 students without depressive symptoms at baseline were investigated. The overall incidence of depressive symptoms was 28.3% and the incidence rate (IR) was 2.12, being greater for females (2.75) than males (1.65). The IR decreased over time for both males (from 2.61 to 0.41) and females (from 4.25 to 0.54). A greater risk of depressive symptoms was observed for younger male students compared to those ≥20 years old (IRR_adj = 1.64) and for women who reported concomitant use of alcohol and tobacco compared to those that reported no smoking and no alcohol consumption. For both males (IRR_adj = 2.80) and females (IRR_adj = 1.91), severe stress level was associated with greater risk of depressive symptoms when compared to mild stress level. Depressive Symptoms occurred more significantly in females, in the early years of undergraduate course, in males <20 years old, and among those with high stress level. Understanding the possible causes of depression is essential to promote mental health and well-being among college student.

The Effect of Cigarette Use and Dual-Use on Depression and Sleep Quality

Background: Recently, the use of cigarettes and e-cigarettes rises among Korean adults. This study examined between-groups differences in depression and sleep quality based on smoking/vaping status. Methods: The groups were classified into non-users, cigarette users, and dual-users according to the present use of cigarettes and e-cigarettes. Data from the 2018 Korean Community Health Survey (KCHS) were used in this study. The participants were 153,646 adults aged > 19cyears. Results: One-way analysis of covariance models showed that dual-users reported significantly higher depression scores (PHQ-9) and significantly lower sleep quality (PSQI-K), respectively, than did cigarette users and non-users. Conclusions: These results imply that dual-use can have a negative impact on mental health. This study supports previous studies on the harmfulness of dual-use and suggests that more studies related to the dual-use of cigarettes should be conducted in the future.

Systematic Review of Electronic Cigarette Use (Vaping) and Mental Health Comorbidity Among Adolescents and Young Adults

Introduction

The prevalence of electronic cigarette (EC) use has risen dramatically among adolescents and young adults (AYA, ages 12–26) over the past decade. Despite extensive established relationships between combustible cigarette use and mental health problems, the mental health comorbidities of EC use remain unclear.

Aims and Methods

To provide a systematic review of existing literature on mental health comorbidities of EC use among AYA. Database searches using search terms related to EC, AYA, and mental health identified 1168 unique articles, 87 of which prompted full-text screening. Multiple authors extracted data, applied the Effective Public Health Practice Project Quality Assessment Tool to evaluate the evidence, and synthesized findings.

Results

Forty articles met eligibility criteria (n = 24 predominantly adolescent and 16 predominantly young adult). Analyses yielded three main categories of focus: internalizing disorders (including depression, anxiety, suicidality, eating disorders, post-traumatic stress disorder), externalizing disorders (attention-deficit/hyperactivity disorder and conduct disorder), and transdiagnostic concepts (impulsivity and perceived stress). Significant methodological limitations were noted.

Conclusions

Youth EC use is associated with greater mental health problems (compared with nonuse) across several domains, particularly among adolescents. Because many existing studies are cross-sectional, directionality remains uncertain. Well-designed longitudinal studies to investigate long-term mental health sequelae of EC use remain needed.

Implications

Forty recent studies demonstrate a variety of mental health comorbidities with AYA EC use, particularly among adolescents. Mental health comorbidities of EC use generally parallel those of combustible cigarette use, with a few exceptions. Future EC prevention and treatment strategies may be enhanced by addressing mental health.