Association Between E-cigarette Use and Depression in US Adults

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 Association Between Nicotine Dependence and Mental Health in the General Population of Saudi Arabia: A Cross-Sectional Analytical Study

Background

High prevalence of mental disorders is associated with psychoactive substances, significantly contributing to morbidity, disability, and premature mortality. Worldwide, individuals who use electronic-cigarettes (EC) and have a mental health diagnosis are more likely to experience stress, depression, and drug use. This study aims to measure the prevalence of both EC use and mental health disorders namely, anxiety and depression additionally to investigate the association between EC use and mental health status among the general population of Saudi Arabia.

Methods

A cross-sectional analytical study was conducted across Saudi Arabia from November 2022 to May 2023. The survey was divided into three sections. The first section focuses on the demographics, while the second part asked about both conventional and EC smoking and their frequency. The third section assessed mental health status using a Patient Health Questionnaire with a 9-item depression scale (PHQ-9) and a 7-item Generalized Anxiety Disorder scale (GAD-7).

Results

The study revealed 21.1% reporting EC use in the past thirty days. While 19.8% reported smoking tobacco one or more days within the last thirty days. Regarding mental health, 36.6% of individuals had minimal anxiety, while 42.4% experienced mild anxiety. Moreover, most of the participant were considered to have mild followed by minimal depression accounting for 36.7% and 31.9%, respectively. The results indicated a positive and significant correlation between perceived depression scores and nicotine dependence among EC users. Additionally, there was a strong relationship between gender and nicotine dependence, with men being more inclined than women.

Conclusion

There is a correlation between nicotine use and mental health outcomes; people who use nicotine products are more likely to experience anxiety and depression.

Characterizing risky alcohol use, cigarette smoking, e-cigarette use, and physical inactivity among cancer survivors in the USA-a cross-sectional study

PURPOSE

Unhealthy lifestyle behaviors are associated with inferior health outcomes among cancer survivors, including increased mortality. It is crucial to identify vulnerable subgroups, yet investigations have been limited. Thus, this study aimed to examine sociodemographic and clinical characteristics associated with risky health behaviors among cancer survivors.

METHODS

We used national, cross-sectional survey data (Health Information National Trends Survey, HINTS 2017-2020) for 2579 cancer survivors. We calculated the prevalence of risky alcohol use, current cigarette smoking, e-cigarette use, and not meeting physical activity guidelines. We performed weighted logistic regression to obtain multivariable-adjusted odds ratios (OR) for the association between each unhealthy behavior with sociodemographic and clinical characteristics.

RESULTS

Overall, 25% showed risky alcohol use, 12% were current cigarette smokers, 3% were current e-cigarette users, and 68% did not meet physical activity guidelines. Cancer survivors who were males, non-Hispanic Whites or African Americans, without a college education, not married and with comorbidities or psychological distress were more likely to have unhealthy behaviors. Those with lung disease or depression were 2 times as likely to smoke cigarette or e-cigarettes and those with psychological distress were 1.6 times as likely to be physically inactive. Moreover, risky drinkers (OR = 1.75, 95% CI = 1.22-2.52) and e-cigarette smokers (OR = 16.40, 95% CI 3.29-81.89) were more likely to be current cigarette smokers.

CONCLUSIONS

We identified vulnerable subpopulations of cancer survivors with multiple unhealthy lifestyle behaviors.

IMPLICATIONS FOR CANCER SURVIVORS

Our findings inform clinicians and program and policy makers of the subgroups of cancer survivors to target for multiple health behavior interventions.

Association between e-cigarette use and depression in US cancer survivors: a cross-sectional study

PURPOSE

Though prior studies have observed significant association between e-cigarette use and mental health outcomes including depression in the general population, the relationship between e-cigarette use and clinical depression in the cancer survivor subpopulation is unknown. The purpose of this study was to examine the cross-sectional association between e-cigarette use and self-reported clinical depression among cancer survivors.

METHODS

Pooled data from the 2017 and 2018 Behavioral Risk Factor Surveillance Survey were used. Multivariable logistic regression was used to analyze the independent association between e-cigarette use and self-reported clinical depression in a sample of 7,498 cancer survivors.

RESULTS

Among cancer survivors in this study, 22.1% reported a history of clinical diagnosis of depression. The overall prevalence rates for current and former e-cigarette use were 2.6% and 10.5%, respectively. Analysis showed 51.3% of current users, 40% of former users, and 19.1% of those who had never used e-cigarettes self-reported a history of clinical depression. In the multivariable analysis, the odds of self-reported clinical depression were significantly higher for survivors who were current users (OR = 2.85; 95% CI: 1.38-5.90) and former users (OR = 1.63; 95% CI: 1.05-2.55) compared to never e-cigarette users.

CONCLUSION

Findings from this study suggest a statistically significant association between e-cigarette use and depression in cancer survivors. Future studies should focus on examining the longitudinal association between e-cigarette use and depression in cancer survivors.

IMPLICATIONS FOR CANCER SURVIVORS

Study findings reemphasized the need for interventions to support cancer survivors with evidence-based treatments for depression as well as the need for clinicians to screen for psychological distress and/or e-cigarette use and make appropriate recommendations.

The relationship between chronic lung disease diagnosis and the susceptibility to e-cigarette use in adults: The mediation effects of psychosocial, cognitive influences, and the moderation effect of physiological factors

INTRODUCTION

There is a paucity of studies on e-cigarette use among adults with chronic lung disease. In the present study, we aimed to assess whether psychosocial or cognitive factors elucidate the relationship between chronic lung disease (CLD) and susceptibility to e-cigarette use and whether the relationship between CLD and e-cigarette use is conditional on the presence of respiratory symptoms.

METHODS

We recruited adults aged ≥18 years in Alabama with CLD from university medical clinics (n=140) and individuals without CLD (n=123 as a reference group). Information on sociodemographics, susceptibility to e-cigarette use, psychosocial factors, and cognitive factors were collected. Mediation analysis was used to assess whether the psychosocial factors or cognitive factors explained the association between CLD and susceptibility to using e-cigarettes, and moderation analysis was conducted to determine if respiratory factors would change the association between CLD and susceptibility to e-cigarette use.

RESULTS

Psychosocial factors (stress, depression, anxiety) and e-cigarette positive expectancy were notably high among individuals with CLD. Having CLD was associated with a lower likelihood of susceptibility to e-cigarette use. Higher levels of stress, being a smoker, boredom, taste/sensorimotor manipulation, and social facilitation were associated with higher odds of susceptibility to using e-cigarettes among individuals with CLD. Mediation analysis indicated a statistically significant indirect effect of CLD on the susceptibility to using e-cigarettes through stress and boredom reduction. We did not find a statistically significant interaction between CLD and respiratory symptoms affecting susceptibility to using e-cigarettes.

CONCLUSIONS

Individuals with CLD often exhibit stress, depression, and a positive view of e-cigarettes but are generally less inclined to use them. Stress, smoking habits, boredom, taste, and social influence can increase their susceptibility to e-cigarette use. Our findings call for further exploration to evaluate the temporal relationship between CLD status, psychosocial factors, cognitive factors, and susceptibility to using e-cigarettes.

TRIAL REGISTRATION

The study was registered on ClinicalTrials.gov, on 5 November 2019. Identifier: NCT04151784.

Associations between e-cigarette use or dual use of e-cigarette and combustible cigarette and metabolic syndrome: results from the National Health and Nutrition Examination Survey (NHANES)

PURPOSE

Examine associations between e-cigarette use or dual use of e-cigarette and combustible cigarette and metabolic syndrome (MetS).

METHODS

Cross-sectional data of 5121 U.S. adults from the National Health and Nutrition Examination Survey were analyzed. Weighted multivariable Poisson regression models were used to examine associations between e-cigarette use or dual use and MetS and its components. Prevalence ratios (PRs) with 95% confidence intervals (95% CI) were estimated.

RESULTS

Current and former e-cigarette users were 30% (95% CI: 1.13, 1.50) and 15% (95% CI: 1.03, 1.28) more likely to have MetS than never e-cigarette users. Current or former e-cigarette use was also associated with elevated triglycerides, reduced high-density lipoprotein (HDL) cholesterol, and elevated blood pressure (AOR ranged from 1.15 to 1.42, all P < 0.05). The prevalence of MetS for dual users was 1.35-fold (95% CI: 1.15, 1.58) higher than that for never smokers and 1.21-fold (95% CI: 1.00, 1.46) higher than that for combustible cigarette-only users. Dual users were also more likely to report elevated triglycerides and reduced HDL cholesterol than never smokers or combustible cigarette-only users (all P < 0.05).

CONCLUSIONS

E-cigarette use or dual use is associated with MetS. Our findings may inform tobacco control policies regarding regulations of e-cigarette use.

Associations between depression, stress, and e-cigarette use among OEF/OIF veterans

The COVID-19 pandemic has had profound mental and behavioral health implications for the general U.S. population. However, little is known regarding outcomes for U.S. veterans, who represent a population with high rates of depression, stress, and e-cigarette use. One month prior to the pandemic-related closures (February 2020), 1230 OEF/OIF veterans (ages 18-40) completed an online baseline survey. Six months later, participants completed a follow-up survey (83% retention rate). Hierarchical negative binomial regressions were used to examine the relationship between baseline depression and past 30-day e-cigarette use at follow-up and whether baseline stress moderated this relationship. Veterans who screened positive for depression or who endorsed higher stress levels reported greater e-cigarette use at follow-up. Stress also moderated the relationship between depression and e-cigarette use, such that regardless of stress levels, a positive depression screen was associated with greater rates of later e-cigarette use. However, for those with a negative depression screen, higher stress levels were associated with greater e-cigarette use relative to lower stress levels. Veterans with pre-pandemic depression and stress may be at highest risk for e-cigarette use. Ongoing assessment and treatment for depression and promoting stress management skills for veterans in e-cigarette use prevention and intervention programs may be valuable.

E-Cigarette Use: The Effects of Psychological Vulnerabilities, Perceptions, and Intentions to Use E-Cigarettes

Little research has examined the effects that psychological vulnerabilities (i.e., difficulty with emotion regulation, depressed mood, distress tolerance) have on the perceptions of e-cigarettes, intent to use e-cigarettes, and actual e-cigarette use. Data were collected via an online survey from 837 adults (55.6% male, Mage = 29.2, 71.7% Caucasian). The two path analytic models predicting lifetime and current use fit the data well. Difficulty with emotion regulation was positively associated with depressed mood and negatively associated with distress tolerance, while distress tolerance was negatively associated with depressed mood. Depressed mood was positively associated with perceived benefits of e-cigarette use, and perceived benefits was positively associated with intent to use. Perceived benefits and intent to use were significantly associated with both lifetime and current use. Findings enhance our understanding of the effects that mood and emotion-related factors have on perceptions of, intent to use, and actual use of e-cigarettes, which may have important implications for prevention and cessation.

Association between E-Cigarette Use Behaviors and Anxiety/Depression among Black/African American Adults Based on Sexual Identity

Limited studies have examined disparities in e-cigarette use among Black/African American adults by sexual identity and whether the relationship between symptoms of anxiety/depression and e-cigarette use varies by sexual identity. We examined the association between e-cigarette use behaviors (never, former, and current use) and anxiety/depression among a nationally representative sample of Black/African American adults who identified as a sexual minority (lesbian/gay, bisexual, and others) or heterosexual individuals. We combined cross-sectional data from the 2011 to 2020 Health Information National Trends Survey (n = 6267), which is a nationally representative data set. We computed weighted e-cigarette use prevalence and multinomial logistic regression results (never use compared with former and current use, respectively). Among Blacks/African Americans, a larger percentage of sexual minority individuals compared with heterosexual individuals reported former and current e-cigarette use. Among sexual minorities, lesbian/gay individuals reported higher former e-cigarette use, whereas bisexual individuals reported higher current e-cigarette use. Among sexual minority individuals, moderate symptoms of anxiety/depression, compared with no symptoms of anxiety/depression, were associated with a higher likelihood of former e-cigarette use. Among heterosexuals, moderate symptoms of anxiety/depression were also associated with a higher likelihood of former e-cigarette use, while mild and severe symptoms of anxiety/depression were associated with current e-cigarette use compared with no symptoms of anxiety/depression. The intersection between sexual identity and anxiety/depression influenced e-cigarette use behaviors in different ways among Black/African Americans. The findings reinforce the heterogeneity within the Black/African American population, indicating the dangers of not considering subgroup differences as a standard part of public health research practice.

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.

E-cigarette use and intentions related to psychological distress among cigarette, e-cigarette, and cannabis vape users during the start of the COVID-19 pandemic

Background

This study examines associations between psychological distress, intentions to use e-cigarettes, and cigarette smoking, e-cigarette use, and cannabis consumption through e-cigarette use among a diverse sample of U.S. young adults.

Procedures

Young adults (N = 314; 72.5% female) were recruited to complete an online survey during the first few months of the COVID-19 pandemic.

Results

Associations between psychological distress and cigarette smoking, e-cigarette use, cannabis vaping, and intentions to use e-cigarettes were found. Current e-cigarette use (OR = 1.23, 95% CI 1.17, 1.28, p < .001; 7.5%) and cannabis vaping (OR = 2.03, 95% CI 1.88, 2.18, p < .001; 10%) was higher among female, possibly due to the significantly higher psychological distress reported among females. Interactions between intentions to use e-cigarettes and psychological distress variables were found for all smoking and vaping behaviors.

Conclusions

Public health efforts should increase focus on providing psychological services for young adults to improve coping strategies that are alternative to smoking and vaping behaviors.

Is Engagement in Physical Activity Related to Its Perceived Mental Health Benefits Among People With Depression and Anxiety? A Population-Scale Survey Study

Objective: To examine the prevalence of awareness of PA (physical activity) benefits among those with mental disorders and explore how this is related to actual PA levels in this population. Methods: We queried data from the Health Information National Trends Survey 2019. A sample of 1,139 adults with self-reported depression and anxiety (61% female; mean age of 52.5 years) was analyzed. Multivariable logistic regression was employed to investigate the association between awareness that PA benefits mental health and respondents’ levels of PA. Results: Of the entire sample, a total of 904 individuals (80.9%) endorsed awareness that PA helps reduce symptoms of depression and anxiety. In multivariable analysis, awareness that PA improves mental health was significantly associated with greater odds of being less sedentary (OR 2.31; P = 0.025) and meeting national recommendations for weekly physical activity (OR 2.35; P = 0.046). Conclusion: Overall, findings from this nationally representative survey data indicates that about 4 in 5 adults living with depression and anxiety in the United States endorsed awareness of the mental health benefits of PA. Furthermore, we found that the awareness of these benefits is related to PA engagement.

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.

Is e-cigarette use associated with better health and functioning among smokers approaching midlife?

INTRODUCTION

Many adult smokers have tried electronic cigarettes (e-cigarettes) as a less harmful alternative to combustible cigarettes. There is limited evidence, however, for the extent to which switching to e-cigarettes is associated with better health and functioning among nicotine users approaching their 40s-the beginning of midlife-when many health issues become more evident. This study examined the adoption of e-cigarette use ("vaping") among smokers in their 30s, and its association with diverse measures of healthy and successful aging at age 39.

METHODS

Data were from the Seattle Social Development Project, a panel study of 808 diverse participants with high retention (88%-91%). A subsample of 156 who used combustible cigarettes (smoked) at age 30 and smoked or vaped at age 39 was selected for analysis. A measure of vaping frequency, relative to combustible cigarette use, was computed from self-reports of past-month vaping and smoking at age 39. Nine measures of health and functioning in the past year were computed at age 39, with nine corresponding measures at age 30.

RESULTS

Among smokers at age 30, 36% adopted vaping some or all of the time by age 39. Higher relative vaping frequency was related to 4 of 9 outcomes examined, including significantly more exercise, more constructive engagement, better physical health, and higher SES at age 39, accounting for prior behaviors at age 30.

CONCLUSIONS

Findings suggest that, among smokers in their 30s, replacing combustible cigarettes with vaping may be associated with key markers of healthy and successful aging to age 39.

E-Cigarette Use, Systemic Inflammation, and Depression

BACKGROUND

E-cigarette use (vaping) is an emerging public health problem. Depression has been found to be associated with e-cigarette use, and vaping and depression are each associated with elevated systemic inflammation. To date, the role of inflammation in the relationship between vaping and depression has not been explored.

OBJECTIVE

To assess the independent associations between e-cigarette use, depression, and inflammation, and to investigate whether the likelihood of depression among current e-cigarette users is associated with systemic inflammation.

METHODS

Nationally representative NHANES data from 2015-2018 were used (n = 4961). Systemic inflammation was defined as serum C-reactive protein (CRP) ≥ 8.0 mg/L. Depressed individuals were characterized by a score ≥ 10 on the Patient Health Questionnaire-9 (PHQ-9). Current e-cigarette users were defined as individuals who vaped at least once in the past 30 days and these individuals were stratified by use: exclusive users (reported smoking less than 100 combustible cigarettes in their lifetime), dual users (reported current use of electronic and combustible cigarettes), and e-cigarette users who were previous smokers. Bivariate analyses were used to assess independent associations between vaping, depression, and inflammation; and weighted logistic regression analyses adjusting for BMI, sex, and economic status were used to determine the odds ratios (ORs) for depression by e-cigarette category stratified by differential CRP levels.

RESULTS

Depression occurred in 16.7% of all e-cigarette users vs. 5.0% of those who never used e-cigarettes (p < 0.001). In adjusted analyses, the following elevated ORs were found: all current e-cigarette users with CRP <8 = 3.37 (95% CI: 2.06, 5.51) vs. CRP ≥8 = 6.70 (2.48, 18.11); exclusive e-cigarette users with CRP <8 = 1.91 (0.78, 4.69) vs. those with CRP ≥8 = 5.09 (1.44, 18.02); and dual users with CRP <8 = 4.31 (2.35, 7.89) vs. those with CRP ≥8 = 7.37 (1.85, 29.41). These ORs indicate that depression is associated with each category of e-cigarette use; however, we found this association did not vary by systemic inflammation level (interaction p-values > 0.05).

CONCLUSION

While a pattern of greater ORs for depression among e-cigarette users with elevated CRP provides provocative findings that might suggest a potential role of inflammation in the association between vaping and depression, we failed to find evidence that inflammation clearly moderates this association. While it is possible that depression among e-cigarette users may be influenced by systemic inflammation, a reproduction of the current study is necessary among a larger cohort to elucidate the effect of inflammation on depression among e-cigarette users.

Association between daily and non-daily cannabis use and depression among United States adult cancer survivors

BACKGROUND

Cancer survivors are vulnerable to Cannabis Use (CU) and at increased risk for depression. Yet, the relationship between CU and depression among cancer survivors is unknown.

PURPOSE

The purpose of this study was to estimate the prevalence of daily/non-daily CU, investigate the association between CU and depression and evaluate CU reasons and methods of administration among cancer survivors.

METHOD

Population-based, nationally representative sample of cancer survivors aged ≥18 (n = 10,799) from 2018 Behavioral Risk Factor Surveillance System Survey was used. Weighted descriptive statistics and multivariate logistic regression were conducted.

FINDINGS

Overall, 4.2% reported daily and 4.1% non-daily CU. Those who self-reported depression had higher prevalence of daily and non-daily CU than those not reporting depression. Daily CU was associated with 120% increased odds of depression (odds ratio = 2.2, 95% confidence interval [1.3, 3.7]) compared with none-users.

DISCUSSION

Efforts to improve open communications and evidence-informed discussions regarding benefits and risks of CU and reasons for using cannabis between clinicians and cancer survivors are imperative.