Understanding Adverse Childhood Experiences as Predictors of Cigarette and E-Cigarette Use

Tobacco use behavior among adults exposed to cumulative adverse childhood experiences: A systematic review and meta analysis

BACKGROUND

Tobacco use remains one of the most used substances among adults globally and substantially impacts individuals and society. Adverse childhood experiences (ACEs) contribute to tobacco use. However, the association between cumulative ACEs and tobacco use behaviors (TUB) has not been established in the literature. In this review, we aimed to estimate the prevalence of ACEs among adult tobacco users and evaluated the relationship between cumulative ACEs and TUB.

METHODS

We identified original articles published before October 2022 by searching PubMed, CINAHL, and Psych INFO databases. Inclusion criteria were: English language, adults and used instruments assessing for cumulative ACEs defined as four or more ACEs.

RESULTS

Forty-two studies, totaling 674,087 participants; predominantly cohort and cross-sectional in study design (n = 33). Exposure to 4 ≥ ACEs was significantly associated with increasing the odds of current tobacco use (n = 35), ever or former tobacco use (n = 13), tobacco use initiation, (n = 3) nicotine dependence (n = 1), and ever using electronic cigarettes (n = 1). In the meta-analysis, as compared to those without ACEs, those with 4 ≥ ACEs were twice as likely to have ever used tobacco (OR = 2.16, 95 %CI:1.73-2.70) and approximately four times more likely to have used tobacco currently (OR = 3.73, 95 %CI:2.69-5.18).

CONCLUSION

The cumulative ACEs exposure can increase the risk for TUB. However, the evidence is limited primarily to cigarette use. Ongoing research into the effects of cumulative ACEs on TUB is needed to integrate trauma-informed intervention in treating tobacco use and guide public health initiatives aimed to reduce the prevalence of ACEs and TUB among adults.

Two-part models identifying predictors of cigarette, e-cigarette, and cannabis use and change in use over time among young adults in the US

BACKGROUND AND OBJECTIVES

Limited longitudinal research has examined differential interpersonal and intrapersonal correlates of young adult use and use frequency of cigarettes, e-cigarettes, and cannabis. This study aimed to address these limitations.

METHODS

We analyzed five waves of longitudinal data (2018-2020) among 3006 US young adults (Mage = 24.55, 44% male, 32% sexual minority, ~30% racial/ethnic minority). Two-part latent growth models examined likelihood of past-month cigarette, e-cigarette, and cannabis use (binary part) and days used (continuous part) and identified predictors (depressive symptoms, personality traits, adverse childhood experiences [ACEs], parental use) of baseline use and changes over time.

RESULTS

Regarding baseline past-month use (27% cigarettes, 38% e-cigarettes, 39% cannabis), depressive symptoms, ACEs, and parental substance use predicted use outcomes (i.e., likelihood, frequency) for each product; extraversion predicted cigarette and e-cigarette use outcomes; openness predicted e-cigarette and cannabis use outcomes; conscientiousness negatively predicted cigarette and cannabis use outcomes; and agreeableness negatively predicted cannabis use frequency. Regarding longitudinal changes, conscientiousness predicted accelerated increase of cigarette use frequency at later timepoints; depressive symptoms predicted increases in likelihood of e-cigarette use but the association weakened over time; and parental cannabis use predicted decreased cannabis use frequency but the association weakened over time.

DISCUSSION AND CONCLUSIONS

Young adult substance use interventions should target high-risk subgroups and focus on distinct factors impacting use, including chronic, escalating, and decreasing use.

SCIENTIFIC SIGNIFICANCE

This study advances the literature regarding distinct predictors of different substance use outcomes and provides unique data to inform interventions targeting young adult cigarette, e-cigarette, and cannabis use.

Associations Between Childhood Trauma and Tobacco Use Outcomes in Adults after Overnight Abstinence

INTRODUCTION

Childhood trauma is known to be associated with nicotine dependence, yet limited smoking outcomes have been examined and few studies have assessed associations between specific trauma subscales and smoking. Additionally, sex differences in trauma-smoking relations are understudied. This study examined associations between childhood trauma and several smoking-related outcomes in adults who smoke after overnight abstinence.

AIMS AND METHODS

People who smoke (N = 205) completed self-report and biochemical assessments evaluating childhood trauma, affect, nicotine dependence, smoking urges, withdrawal, and plasma cortisol and cotinine levels. Smoking outcomes were compared between those with and without a history of moderate to severe childhood trauma among the total sample and by sex.

RESULTS

Relative to those with no to minimal abuse, those with moderate to severe abuse had higher negative affect, withdrawal severity, and plasma cotinine levels. Exploratory analyses revealed that women were more likely than men to have urges to smoke for negative reinforcement and have higher withdrawal severity, but no interactions between abuse group and sex were observed. Examining specific trauma subscales, the moderate to severe emotional abuse group had more severe nicotine dependence, negative affect, and withdrawal compared to the no to minimal group. The moderate to severe sexual abuse group had more severe nicotine dependence and withdrawal compared to the no to minimal group.

CONCLUSIONS

Exposure to childhood trauma is associated with more severe nicotine dependence, negative affect, withdrawal, and higher plasma cotinine levels. Findings also indicate that different types of trauma may differentially affect smoking behaviors.

IMPLICATIONS

This study of adults who smoke finds that childhood trauma history may be a marker for smoking susceptibility and suggests that individuals with experiences of emotional and sexual abuse may require targeted forms of smoking cessation interventions. Moreover, findings suggest that smoking risks may differ for men and women. Findings inform public health interventions intended to reduce cigarette use in individuals with exposure to childhood trauma.

Association of early life adversity with cardiovascular disease and its potential mechanisms: a narrative review

Strong epidemiological evidence has shown that early life adversity (ELA) has a profound negative impact on health in adulthood, including an increased risk of cardiovascular disease, the leading cause of death worldwide. Here, we review cohort studies on the effects of ELA on cardiovascular outcomes and the possible underlying mechanisms. In addition, we summarize relevant studies in rodent models of ELA. This review reveals that the prevalence of ELA varies between regions, time periods, and sexes. ELA increases cardiovascular health risk behaviors, susceptibility to mental illnesses, and neuroendocrine and immune system dysfunction in humans. Rodent models of ELA have been developed and show similar cardiovascular outcomes to those in humans but cannot fully replicate all ELA subtypes. Therefore, combining cohort and rodent studies to further investigate the mechanisms underlying the association between ELA and cardiovascular diseases may be a feasible future research strategy.

Adverse Childhood Experiences and Electronic Cigarette Use among U.S. Young Adults

(1) Background: Adverse childhood experiences (ACEs), which are potentially traumatic childhood events, have been associated with increased tobacco product use. Less is known about electronic cigarette (e-cigarette) use during young adulthood. This study explored the associations between ACEs and current e-cigarette use among U.S. young adults. (2) Methods: This study was a secondary analysis of 2021 Behavioral Risk Factor Surveillance System data including 2537 young adults aged 18-24 years. Unadjusted and adjusted logistic regression analyses were conducted. (3) Results: Of the participants, 19.2% currently used e-cigarettes, and 22.1% reported 1 ACE, 13.0% reported 2 ACEs, 10.7% reported 3 ACEs, and 30.6% reported ≥4 ACEs. Unadjusted results indicated that participants who experienced 1 ACE (odds ratio (OR) = 1.76, 95% confidence interval (CI) = 1.01-3.07), 2 ACEs (OR = 2.18, 95%CI = 1.24-3.83), 3 ACEs (OR = 2.63, 95%CI = 1.41-4.90), and ≥4 ACEs (OR = 3.69, 95%CI = 2.23-6.09) were at increased odds of reporting current e-cigarette use than participants who experienced 0 ACEs. Adjusted results indicated that participants who experienced 3 ACEs were at 2.20 times higher odds (95%CI = 1.15-4.23) and participants who experienced ≥4 ACEs were at 2.73 times higher odds (95%CI = 1.58-4.71) of reporting current e-cigarette use than participants who experienced 0 ACEs. (4) Conclusions: Young adults exposed to ACEs are at risk of using e-cigarettes.

Psychosocial predictors of trajectories of dual cigarette and e-cigarette use among young adults in the US

INTRODUCTION

Young adults have the highest prevalence of cigarette and e-cigarette use, warranting research to identify psychosocial correlates of their use trajectories.

METHODS

Repeated measures latent profile analyses (RMLPAs) examined past 6-month cigarette and e-cigarette trajectories across 5 waves of data (2018-2020) among 3,006 young adults (Mage = 24.56 [SD = 4.72], 54.8% female, 31.6% sexual minority, 60.2% racial/ethnic minority). Multinomial logistic regression models examined associations among psychosocial factors (i.e., depressive symptoms, adverse childhood experiences [ACEs], personality traits) and trajectories of cigarette and e-cigarette use, controlling for sociodemographics and past 6-month alcohol and cannabis use.

RESULTS

RMLPAs yielded a 6-profile solution, which were uniquely associated with predictors: stable low-level or nonusers of cigarettes and e-cigarettes (66.3%; referent group), stable low-level cigarette and high-level e-cigarette use (12.3%; greater depressive symptoms, ACEs, openness; male, White, cannabis use), stable mid-level cigarette and low-level e-cigarette use (6.2%; greater depressive symptoms, ACEs, extraversion; less openness, conscientiousness; older age, male, Black or Hispanic, cannabis use), stable low-level cigarette and decreasing e-cigarette use (6.0%; greater depressive symptoms, ACEs, openness; younger age, cannabis use), stable high-level cigarette and low-level e-cigarette use (4.7%; greater depressive symptoms, ACEs, extraversion; older age, cannabis use), and decreasing high-level cigarette and stable high-level e-cigarette use (4.5%; greater depressive symptoms, ACEs, extraversion, less conscientiousness; older age, cannabis use).

CONCLUSIONS

Cigarette and e-cigarette prevention and cessation efforts should be targeted both toward specific trajectories of use and their unique psychosocial correlates.

Adverse Childhood Experiences and Adult Tobacco Use Among Sexual and Gender Minority Populations: Examining the Role of Mental, Social, and Community Health

Purpose: We sought to evaluate the relationship between adverse childhood experiences (ACEs) and tobacco use, to assess the intersection of sexual orientation or gender identity (SOGI), and to explore risk and protective aspects of mental, social, and community health. Methods: This was a secondary analysis of the sexual and gender minorities (SGM) subsample (n = 1102) from a 2019 Community Health Needs Assessment. Nested binary logistic regression models were created to evaluate associations between ACEs and type of tobacco use: (1) cigarette use versus no cigarette or electronic nicotine delivery systems (ENDS) use, (2) ENDS use versus no cigarette or ENDS use, and (3) dual use versus use of either cigarettes or ENDS. Results: The sample population that reported four or more ACEs and ENDS use had statistically significant adjusted odds ratios (aORs) when adjusting the models for sociodemographic variables (aOR = 2.55; 95% confidence intervals [CIs]: 1.54-4.22), SOGI (aOR = 2.44; 95% CI: 1.46-4.10), current mental health (aOR = 2.23; 95% CI: 1.32-3.75), and social and community health (aOR = 2.19; 95% CI: 1.30-3.71). The sample population that reported poor mental health had statistically significant aORs when adjusting the models for sociodemographic variables, SOGI, and mental health (aOR = 2.26; 95% CI: 1.32-3.89) and social and community health (aOR = 2.06; 95% CI: 1.17-3.54). There was no statistically significant finding related to the other tobacco use variables (tobacco use and dual use). Conclusion: We found that high-risk ACEs were positively associated with cigarette use and ENDS use. SGM populations have differing experiences when considering community and social support.

Psychosocial predictors of longitudinal changes in tobacco and cannabis use among young adults

INTRODUCTION

In recent years, cigarette use has decreased, but alternative tobacco product and cannabis use has increased in young adults. Thus, research regarding intraindividual changes in tobacco product and cannabis use in this population, and related psychosocial predictors, is warranted.

METHODS

We analyzed data from 3,006 young adults (Mage = 24.56 [SD = 4.72], 54.8% female, 31.6% sexual minority, 60.2% racial/ethnic minority) in a 2-year, 5-wave longitudinal study (2018-2020). Latent growth modeling analyzed the outcomes of past 6-month use of cigarettes, e-cigarettes, traditional cigars, little cigars/cigarillos, smokeless tobacco (SLT), hookah, and cannabis across Waves 1-5 among all participants; psychosocial predictors included depressive symptoms, adverse childhood experiences (ACEs), and personality traits.

RESULTS

Results indicated decreases in likelihood of using each tobacco product over time, but no significant change in likelihood of cannabis use. Psychosocial predictors of baseline use across products included depressive symptoms and extraversion, as well as ACEs and openness for nearly all products (e.g., except traditional cigars). Psychosocial predictors of less decreases in use likelihood over time included: for cigarettes and traditional cigars, ACEs; for e-cigarettes, extraversion; for little cigars/cigarillos, depressive symptoms and extraversion; for SLT, openness; and for hookah, neuroticism (controlling for sociodemographics). Predictors of greater decreases in likelihood of use over time included: for e-cigarettes and hookah, conscientiousness; and for cannabis, agreeableness.

CONCLUSIONS

Interventions to reduce young adults' use might target distinct risk/protective factors for using different products (and combinations). Moreover, results regarding decreasing likelihood of using tobacco products but not cannabis over time warrant replication and explanation in other samples.

Adverse childhood experiences and adolescent nicotine and marijuana vaping: Findings from a statewide sample of Florida youth

A wealth of research links exposure to adverse childhood experiences (ACEs) with negative outcomes including nicotine and marijuana use. In addition, an emerging line of research has documented associations between exposure to ACEs and vaping activity in American adults and international samples of adolescents. Very limited research, however, has explored whether a history of ACEs is linked with adolescent nicotine and marijuana vaping activity in an American sample. This study addresses this gap in the literature by employing multinomial logistic regression to examine whether cumulative exposure to ACEs is associated with adolescent nicotine vaping, dual mode use of nicotine, marijuana vaping, and dual mode use of marijuana in a sample of Florida high school students. Our findings reveal that greater cumulative exposure to ACEs (up to 5 ACEs) in adolescents leads to an increase in the likelihood of vaping nicotine and marijuana. In addition, greater cumulative exposure to ACEs (up to 6 ACEs) leads to an increase in the likelihood of using nicotine and marijuana through multiple delivery modes.