Ethnic differences in respiratory disease for Native Hawaiians and Pacific Islanders: Analysis of mediation processes in two community samples.

OBJECTIVE: The prevalence of asthma and chronic obstructive pulmonary disorder (COPD) is elevated for Native Hawaiians but the basis for this differential is not well understood. We analyze data on asthma and COPD in two samples including Native Hawaiians Pacific Islanders, and Filipinos to determine how ethnicity is related to respiratory disease outcomes. METHODS: We analyzed the 2016 and 2018 Behavioral Risk Factor Surveillance Survey (BRFSS), a telephone survey of participants ages 18 and over in the State of Hawaii. Criterion variables were a diagnosis of asthma or COPD by a health professional. Structural equation modeling tested how five hypothesized risk factors (cigarette smoking, e-cigarette use, second-hand smoke exposure, obesity, and financial stress) mediated the ethnic differential in the likelihood of disease. Age, sex, and education were included as covariates. RESULTS: Structural modeling with 2016 data showed that Native Hawaiian ethnicity was related to higher levels of the five risk factors and each risk factor was related to a higher likelihood of respiratory disease. Indirect effects were statistically significant in almost all cases, with direct effects to asthma and COPD also observed. Mediation effects through comparable pathways were also noted for Pacific Islanders and Filipinos. These findings were replicated with data from the 2018 survey. CONCLUSIONS: Native Hawaiian and Pacific Islander ethnicity is associated with greater exposure to five risk factors and this accounts in part for the ethnic differential in respiratory disease outcomes. The results support a social-ecological model of health disparities in this population. Implications of the findings for preventive interventions are discussed.

Ethnicity, Coronavirus Disease-Related Stress, and E-cigarette Use and Cigarette Smoking Among Young Adults: A Longitudinal Study.

INTRODUCTION: Research has rarely examined ethnic differences in exposure to coronavirus disease (COVID)-related stress in relation to smoking and e-cigarette use. AIMS AND METHODS: Using pre- and post-COVID data from a sample of predominantly Asian American (AA) and Native Hawaiian and Pacific Islander (NHPI) young adults, this study aimed to test the effects of ethnicity on cigarette smoking and e-cigarette use through exposure to COVID-related stress. Young adults from Hawaii who provided pre-COVID data in or before January 2020 were followed up with in March-May 2021. N = 1907 (mean age = 24.9 [SD = 2.9], 56% women) provided complete data relevant to the current analysis at both waves of data collection. Structural equation modeling was used to test the effects of ethnicity (white, Asian [eg, Japanese, Chinese], Filipino, NHPI, and other) on pre- to post-COVID changes in cigarette and e-cigarette use via effects on COVID-related stress. RESULTS: Relative to Asian young adults, members of all other ethnic groups (NHPI, Filipino, white, and other) indicated greater exposure to COVID-related stress. Higher levels of COVID-related stress were associated with increased dual-use status and increased current e-cigarette and cigarette use frequencies. Higher COVID-related stress mediated the effects of NHPI, Filipino, and other ethnicity on increased dual-use status. CONCLUSIONS: The current data indicate that young adults of vulnerable ethnic groups who experience higher COVID-related stress are at increased risk for dual use of cigarettes and e-cigarettes. IMPLICATIONS: The findings imply that tobacco use prevention and treatment efforts may need to pay increased attention to racial or ethnic groups that have experienced greater adverse impact of the COVID-19 pandemic.

Associations for subgroups of E-cigarette, cigarette, and cannabis use with asthma in a population sample of California adolescents.

Knowledge about the respiratory health consequences of adolescents' use of tobacco products with cannabis remains limited. We studied whether e-cigarettes, combustible cigarettes, and cannabis were independently associated with asthma in a population-based sample of 150,634 public high school students (10th and 12th graders), drawn in a two-stage design to be representative of the state of California in 2019-2020. Measures were obtained for use of e-cigarettes, combustible cigarettes, and cannabis; motives for use (three substances); method of use (for cannabis); ever being diagnosed with asthma; and having an asthma attack in past 12 months. Cross-classification indicated Nonuse for 64% of the sample; 15% Dual E-cigarette/Cannabis Use; 10% Exclusive Cannabis Use; 5% Exclusive E-cigarette Use; and 5% Triple Use. Multinomial logistic regression with a three-level criterion variable, controlling for age, sex, parental education, race/ethnicity, and three types of household use showed that compared with Nonuse, odds of Lifetime Asthma (vs. Never Had) was elevated for Triple Use (AOR = 1.14, CI 1.06-1.24), Dual E-cigarette/Cannabis Use (1.17, 1.12-1.23), Exclusive Cannabis Use (1.17, 1.11-1.23), and Exclusive E-cigarette Use (1.10, 1.02-1.18). Similar results were noted for Recent Asthma. Among persons who had used cannabis, 88% of the Triple group and 74% of the Dual E-cigarette/Cannabis group reported both smoking and vaping cannabis. Thus, co-occurrence of e-cigarette and cannabis use was a common pattern among adolescents in this study, and subgroups of cannabis and e-cigarette use showed similar associations with asthma. Preventive approaches should highlight the health implications of exclusive or combined e-cigarette and cannabis use.

Tests for confounding with cigarette smoking in the association of E-cigarette use with respiratory disorder: 2020 National-Sample Data.

Associations of e-cigarette use with respiratory disorder have been demonstrated but it has been unclear whether these are confounded by current or previous cigarette smoking. We address this question through studying different time frames for e-cigarette use and respiratory disorders in 2020 BRFSS data (N = 214,945). E-cigarette use and combustible cigarette smoking were classified into four categories: Participant never used either (Nonuse); used e-cigarettes/cigarettes but not in the past 30 days (Former Use), used in past 30 days on some days (Nondaily Use), or used past 30 days on all days (Daily Use). Contrasts for e-cigarette status and cigarette status (with nonuse as reference group) were entered with covariates in logistic regression with asthma or COPD as criterion. Stratified analyses of e-cigarette use were also performed for smokers and nonsmokers. In the total sample, results showed independent positive associations with both lifetime and current asthma for Former, Nondaily, and Daily e-cigarette use (mostly p < .0001) and the three cigarette indices. Significant positive associations with COPD were found for the three e-cigarette indices (p < .0001) and all the cigarette indices. Stratified analyses showed significant associations of e-cigarette use with respiratory disorder among nonsmokers as well as among smokers. We conclude that independent associations for former e-cigarette use (controlling for current/former smoking) and significant associations of e-cigarette use with respiratory disorder among nonsmokers indicate these associations are not confounded with cigarette smoking and suggest reverse causation is implausible. Findings for former use are discussed with reference to possible mechanisms including sensitization effects.

Concurrent Use of E-cigarettes, Combustible Cigarettes, and Marijuana.

OBJECTIVE: Subgroups of adolescent single and dual e-cigarette and cigarette users have been identified, but usage patterns have changed in recent years, and there has been an increase in marijuana use. Research is needed with current data to identify subgroups of use including marijuana and determine their behavioral correlates. METHODS: We cross classified ever and recent use of e-cigarettes, combustible cigarettes, and marijuana among US high school students in the 2019 Youth Risk Behavior Survey (YRBS), providing 8 different groups. Levels of 14 risk and protective factors were compared across groups in general linear models with demographic covariates using omnibus tests, pairwise comparisons, and planned contrasts. Replicability was tested through identical analyses for 2017 YRBS data. RESULTS: The nonuser group was 43.9% of the sample. The most frequent user groups were triple users (ever-use proportion: 16.9%), dual (e-cigarette and marijuana) users (15.8%), and exclusive e-cigarette users (13.2%). For risk profiles on levels of psychosocial variables, the triple-user group was typically elevated above all other groups. Exclusive e-cigarette users were above nonusers in risk profile but below dual users (both cigarettes and marijuana). Results were similar for ever use and recent use. The patterning of results in 2019 YRBS data were closely replicated in 2017 YRBS data. CONCLUSIONS: Co-occurrence of e-cigarette, cigarette, and marijuana use is currently substantial among adolescents and is associated with an elevated psychosocial risk profile. This has implications for both epidemiology and prevention studies. Further research is needed to study prevalence and identify pathways to triple use.

A Cultural Dance Program Improves Hypertension Control and Cardiovascular Disease Risk in Native Hawaiians: A Randomized Controlled Trial.

BACKGROUND: Native Hawaiians have higher hypertension (HTN) and cardiovascular disease (CVD) rates than non-Hispanic whites, calling for culturally responsive interventions to close this gap. PURPOSE: We tested the effects of a 6-month behavioral intervention, a cultural dance program based on hula (the customary dance of Hawai'i), for improving blood pressure (BP) and CVD risk among Native Hawaiians with uncontrolled HTN. METHODS: In a randomized controlled trial, we tested the effects of the hula-based intervention among 263 Native Hawaiians with uncontrolled HTN (systolic ≥ 140 or ≥ 130 mmHg if diabetes) and no CVD at enrollment. All participants received a brief culturally tailored heart health education before random assignment to the hula-based intervention (n = 131) or the education-only waitlist control (n = 132). Intervention received hula lessons and group-based activities for 6 months. Control received only 1-week education through 6 months. RESULTS: Intervention yielded greater reductions in systolic (-15.3 mmHg) and diastolic (-6.4 mmHg) BP than control (-11.8 and -2.6 mmHg, respectively) from baseline to 6 months (p < .05). At 6 months, 43% of intervention participants compared to 21% of controls achieved a HTN stage <130/80 mmHg (p < .001). The 10-year CVD risk reduction was two times greater for the intervention group than the control group based on the Framingham Risk Score calculator. All improvements for intervention participants were maintained at 12 months. CONCLUSIONS: This trial represents one of the few rigorously conducted examinations of an Indigenous practice leveraged for health promotion, with implications for other ethnic populations.

E-cigarette use and respiratory disorders: an integrative review of converging evidence from epidemiological and laboratory studies.

BACKGROUND: Use of electronic cigarettes (e-cigarettes) is prevalent among adolescents and young adults, but there has been limited knowledge about health consequences in human populations. We conduct a systematic review and meta-analysis of results on respiratory disorders from studies of general-population samples and consider the mapping of these results to findings about biological processes linked to e-cigarettes in controlled laboratory studies. METHOD: We conducted a literature search and meta-analysis of epidemiological studies on the association of e-cigarette use with asthma and with COPD. We discuss findings from laboratory studies about effects of e-cigarettes on four biological processes: cytotoxicity, oxidative stress/inflammation, susceptibility to infection and genetic expression. RESULTS: Epidemiological studies, both cross-sectional and longitudinal, show a significant association of e-cigarette use with asthma and COPD, controlling for cigarette smoking and other covariates. For asthma (n=15 studies), the pooled adjusted odds ratio (aOR) was 1.39 (95% CI 1.28-1.51); for COPD (n=9 studies) the aOR was 1.49 (95% CI 1.36-1.65). Laboratory studies consistently show an effect of e-cigarettes on biological processes related to respiratory harm and susceptibility to illness, with e-cigarette conditions differing significantly from clean-air controls, although sometimes less than for cigarettes. CONCLUSIONS: The evidence from epidemiological studies meets established criteria for consistency, strength of effect, temporality, and in some cases a dose-response gradient. Biological plausibility is indicated by evidence from multiple laboratory studies. We conclude that e-cigarette use has consequences for asthma and COPD, which is of concern for respirology and public health.

E-Cigarette Use Associated With Asthma Independent of Cigarette Smoking and Marijuana in a 2017 National Sample of Adolescents.

PURPOSE: Knowledge about the health consequences of e-cigarette use in adolescence remains limited. Available studies of asthma among adolescents are based on data collected five or more years ago, and evidence from more recent generations of e-cigarette products is needed. METHODS: We analyzed data from the 2017 Youth Risk Behavior Survey, a cross-sectional study with a representative U.S. national sample of high school students. Multivariable analyses tested for associations of ever and 30-day e-cigarette use with asthma controlling for cigarette smoking, marijuana use, demographics, and obesity. RESULTS: A significant association with asthma was found for ever use of e-cigarettes, adjusted odds ratio (AOR) = 1.15 (confidence interval [CI], 1.02-1.30; p = .02) and for currently using e-cigarettes, AOR = 1.30 (CI, 1.10-1.53; p = .002). Also related to asthma were current cigarette smoking, AOR = 1.24 (CI, 1.03-1.51; p = .03) and obesity, AOR = 1.48 (CI, 1.30-1.68; p < .0001). E-cigarettes had an additive effect for asthma beyond smoking (p = .03). Differentials in asthma prevalence by race/ethnicity were found, with lower prevalence of asthma for non-Hispanic Asian (p = .02) and Hispanic (p = .03) and higher prevalence for non-Hispanic black (p < .0001) and non-Hispanic multirace (p < .0001) relative to non-Hispanic white populations. CONCLUSIONS: E-cigarette use was significantly associated with asthma in recent data on adolescents, controlling for several disease-relevant covariates. The results are consistent with studies based on previous generations of e-cigarettes and support the significance of e-cigarettes as a continuing public health concern.

Parental Support, Parent-Adolescent Conflict, and Substance Use of Native Hawaiian and Other Pacific Islander Youth: Ethnic Differences in Stress-Buffering and Vulnerability Effects.

This research study examined the overall and ethnic-specific effects of parental emotional and instrumental support, parent-adolescent interpersonal conflict, and negative life events (i.e., major life stressors, such as parental job loss or school suspension) on the substance use of Caucasian, Asian-American, Filipino, and Native Hawaiian and other Pacific Islander (NHOPI) youth in Hawai'i. Adolescents (N = 3,561) from 10 public middle/intermediate schools completed paper/pencil surveys, and multiple regression and structural equation models were developed to examine overall and ethnic-specific effects. Parental support was found to buffer against the influence of negative life events on substance use in the overall sample; however, this effect was not observed for either Caucasian or NHOPI youth in ethnic-specific analyses. The impact of parent-adolescent conflict and negative life events on substance use was more pronounced for both Filipino and NHOPI youth. While the study may have had some limitations related to regional specificity and measurement, the findings nonetheless point to the differential effects of risk and protective factors for NHOPI youth, compared with other youth ethnic groups in Hawai'i. Implications of these findings for culturally specific, family-focused prevention research and practice for NHOPI youth are discussed.

Adverse Childhood Experiences and E-Cigarette Use During Young Adulthood.

BACKGROUND AND OBJECTIVES: E-cigarette use among young people is highly prevalent. Individuals exposed to adverse childhood experiences such as childhood maltreatment (CM) may be at particular risk, as CM has been linked to nicotine dependence. Studies testing the association between CM and e-cigarette use are lacking, including research that examines pathways linking CM to e-cigarette use. METHODS: Using a community sample of young adults (N = 208; ages 18-21), we examined the relationship between CM and e-cigarette use and explored the potential role of impulsivity in linking CM to e-cigarette use via a series of structural equation models controlling for demographic characteristics. RESULTS: CM was significantly associated with lifetime e-cigarette use. Furthermore, CM was associated with negative urgency (NU), whereas NU and sensation seeking were significantly related to lifetime e-cigarette use. NU fully mediated the relationship between CM and lifetime e-cigarette use. CONCLUSIONS AND SCIENTIFIC SIGNIFICANCE: Our results suggest that young adults with a history of CM might be vulnerable to e-cigarette use and that NU played a significant role in linking CM to lifetime e-cigarette use. Addressing NU in young adults with a history of CM might be a useful avenue for preventing e-cigarette use in this population. (Am J Addict 2019;28:303-310).

Childhood maltreatment and alcohol use in young adulthood: the role of self-regulation processes.

INTRODUCTION: Childhood maltreatment has been linked to later alcohol use and disorders. Few studies have examined the pathways linking child maltreatment to alcohol use during the transition to adulthood. Currently, minimal understanding of such developmental pathways limits the success of alcohol prevention and intervention efforts for this highly vulnerable population. The present study examined if individual differences in self-regulation processes are critical factors that mediate the association between childhood maltreatment and risk for alcohol use. METHOD: Young adults (N = 335; mean age = 21.7), who were recruited from the community, completed self-report measures of childhood maltreatment, different facets of self-regulation processes, and alcohol use. Multiple structural equation modeling (SEM) analyses were performed to specify the roles of two related, but different, self-regulation processes (i.e., behavioral self-control and behavioral dysregulation) in linking child maltreatment to four different patterns of drinking behaviors, including drinking frequency, binge drinking, alcohol-related problems, and alcohol dependence. Common risk factors for alcohol use, such as psychological symptoms and peer alcohol use, were also entered into the models. RESULTS: We found that behavioral dysregulation particularly plays a mediating role in the associations between childhood emotional abuse and problematic alcohol use during young adulthood. CONCLUSION: The results of this research suggest that self-control processes would be potentially useful targets to prevent problematic alcohol use among young people who have had exposure to childhood maltreatment.

E-cigarette use and respiratory disorder in an adult sample.

OBJECTIVES: Little evidence is available on the association of e-cigarettes with health indices. We investigated the association of e-cigarette use with diagnosed respiratory disorder among adults in data from the Behavioral Risk Factor Surveillance Survey (BRFSS). METHODS: The 2016 Hawaii BRFSS, a cross-sectional random-dial telephone survey, had 8087 participants; mean age was 55 years. Items asked about e-cigarette use, cigarette smoking, and being diagnosed by a health professional with (a) asthma or (b) chronic obstructive pulmonary disease. Multivariable analyses tested associations of e-cigarette use with the respiratory variables controlling for smoking and for demographic, physical, and psychosocial variables. RESULTS: Controlling for the covariates and smoking there was a significant association of e-cigarette use with chronic pulmonary disorder in the total sample (AOR = 2.58, CI 1.36-4.89, p < 0.01) and a significant association with asthma among nonsmokers (AOR = 1.33, CI 1.00-1.77, p < 0.05). The associations were stronger among nonsmokers than among smokers. Results were similar for analyses based on relative risk and absolute risk. There was also a greater likelihood of respiratory disorder for smokers, females, and persons with overweight, financial stress, and secondhand smoke exposure. CONCLUSIONS: This is the first study to show a significant independent association of e-cigarette use with chronic respiratory disorder. Several aspects of the data are inconsistent with the possibility that e-cigarettes were being used for smoking cessation by persons with existing respiratory disorder. Theoretical mechanisms that might link e-cigarettes use and respiratory symptoms are discussed.

E-cigarette use and asthma in a multiethnic sample of adolescents.

There is minimal evidence from epidemiological studies on how e-cigarette use is related to health indices in adolescence. We hypothesized that e-cigarette use would be associated with asthma, controlling for demographics and cigarette smoking. The hypothesis was tested with cross-sectional data from a statewide sample of school students. Surveys were administered in classrooms in 2015 to adolescents in 33 high schools throughout the State of Hawaii. The sample (N=6089) was 50% female and mean age was 15.8years. Data were obtained on demographics; ever use and current (past 30days) use of e-cigarettes, combustible cigarettes, and marijuana; ever being diagnosed with asthma; and currently having asthma. Multinomial regression examined the association between e-cigarette use and asthma controlling for cigarette smoking, marijuana use, and six demographic covariates. Current e-cigarette use was associated with currently having (vs. never having) asthma (adjusted odds ratio [aOR]=1.48, CI 1.26-1.74) and with previously having (vs. never having) asthma (aOR=1.22, CI 1.07-1.40). This was independent of cigarette smoking, marijuana use, and other covariates. Smoking and marijuana were nonsignificant in the multivariate analysis. Blacks, Native Hawaiians, other Pacific Islanders, and Filipinos had higher rates of asthma compared with Asian Americans and Caucasians. We conclude that e-cigarette use by adolescents is independently associated with asthma. This finding is consistent with recent laboratory research on pulmonary effects from e-cigarette vapor. Implications for public health should be considered.

Association Between Initial Use of e-Cigarettes and Subsequent Cigarette Smoking Among Adolescents and Young Adults: A Systematic Review and Meta-analysis.

Importance: The public health implications of e-cigarettes depend, in part, on whether e-cigarette use affects the risk of cigarette smoking. Objective: To perform a systematic review and meta-analysis of longitudinal studies that assessed initial use of e-cigarettes and subsequent cigarette smoking. Data Sources: PubMed, EMBASE, Cochrane Library, Web of Science, the 2016 Society for Research on Nicotine and Tobacco 22nd Annual Meeting abstracts, the 2016 Society of Behavioral Medicine 37th Annual Meeting & Scientific Sessions abstracts, and the 2016 National Institutes of Health Tobacco Regulatory Science Program Conference were searched between February 7 and February 17, 2017. The search included indexed terms and text words to capture concepts associated with e-cigarettes and traditional cigarettes in articles published from database inception to the date of the search. Study Selection: Longitudinal studies reporting odds ratios for cigarette smoking initiation associated with ever use of e-cigarettes or past 30-day cigarette smoking associated with past 30-day e-cigarette use. Searches yielded 6959 unique studies, of which 9 met inclusion criteria (comprising 17 389 adolescents and young adults). Data Extraction and Synthesis: Study quality and risk of bias were assessed using the Newcastle-Ottawa Scale and the Risk of Bias in Non-randomized Studies of Interventions tool, respectively. Data and estimates were pooled using random-effects meta-analysis. Main Outcomes and Measures: Among baseline never cigarette smokers, cigarette smoking initiation between baseline and follow-up. Among baseline non-past 30-day cigarette smokers who were past 30-day e-cigarette users, past 30-day cigarette smoking at follow-up. Results: Among 17 389 adolescents and young adults, the ages ranged between 14 and 30 years at baseline, and 56.0% were female. The pooled probabilities of cigarette smoking initiation were 30.4% for baseline ever e-cigarette users and 7.9% for baseline never e-cigarette users. The pooled probabilities of past 30-day cigarette smoking at follow-up were 21.5% for baseline past 30-day e-cigarette users and 4.6% for baseline non-past 30-day e-cigarette users. Adjusting for known demographic, psychosocial, and behavioral risk factors for cigarette smoking, the pooled odds ratio for subsequent cigarette smoking initiation was 3.62 (95% CI, 2.42-5.41) for ever vs never e-cigarette users, and the pooled odds ratio for past 30-day cigarette smoking at follow-up was 4.28 (95% CI, 2.52-7.27) for past 30-day e-cigarette vs non-past 30-day e-cigarette users at baseline. A moderate level of heterogeneity was observed among studies (I2 = 60.1%). Conclusions and Relevance: e-Cigarette use was associated with greater risk for subsequent cigarette smoking initiation and past 30-day cigarette smoking. Strong e-cigarette regulation could potentially curb use among youth and possibly limit the future population-level burden of cigarette smoking.