Support for and potential impacts of key Smokefree 2025 strategies among Maori who smoke.

AIM: The recently passed Smokefree Environments and Regulated Products (Smoked Tobacco) Amendment Act has the potential to profoundly reduce smoking prevalence and related health inequities experienced among Maori. This study examined support for, and potential impacts of, key measures included within the legislation. METHOD: Data came from Wave 1 (2017-2019) of the Te Ara Auahi Kore longitudinal study, which was conducted in partnership with five primary health organisations serving Maori communities. Participants were 701 Maori who smoked. Analysis included both descriptive analysis and logistic regression. RESULTS: More Maori participants supported than did not support the Smokefree 2025 (SF2025) goal of reducing smoking prevalence to below 5%, and the key associated measures. Support was greatest for mandating very low nicotine cigarettes (VLNCs). Participants also believed VLNCs would prompt high rates of quitting. Participants who had made more quit attempts or reported less control over their life were more likely to support VLNCs. CONCLUSION: There was support for the SF2025 goal and for key measures that could achieve it. In particular, VLNCs may have significant potential to reduce smoking prevalence among Maori. As part of developing and implementing these measures it will be important to engage with Maori who smoke and their communities.

Associations between anxiety symptoms and barriers to smoking cessation among African Americans who smoke cigarettes daily.

BACKGROUND: African Americans who smoke cigarettes and experience heightened anxiety symptoms may have low quit smoking rates. Identifying which particular barriers to cessation are associated with specific types of anxiety symptoms in African Americans could inform cessation treatments for this population. This cross-sectional, correlational study examined associations of anxiety-related symptoms and distinct barriers to cessation among non-treatment-seeking African Americans who smoke cigarettes daily. METHODS: African Americans who smoke (N = 536) enrolled in a clinical research study on individual differences in tobacco addiction between 2013 and 2017 completed self-report measures of anxiety-related symptoms (i.e., social anxiety, panic, and posttraumatic intrusions) and types of barriers to cessation (i.e., addiction-related, social-related, and affect-related barriers). Linear regression models tested associations of anxiety symptoms with cessation barriers with and without adjusting for age, sex, depressive symptoms, and nicotine dependence. RESULTS: All anxiety-related symptoms were associated with each cessation barrier (ßs = 0.240-0.396). After covariate adjustment, panic and trauma-related symptoms were not associated with cessation barriers, and the strength of association of social anxiety with external barriers was reduced but remained significant (ß = 0.254). CONCLUSION: Symptoms of social anxiety, but not trauma or panic-related symptoms, may play a unique, but modest, role in certain barriers to cessation in non-treatment-seeking African Americans who smoke cigarettes over. Further research is needed to uncover why African Americans who smoke and have anxiety might experience these barriers, and how future interventions can mitigate these obstacles.

Racial disparities in intensity of smoke exposure and nicotine intake among low-dependence smokers.

BACKGROUND: Compared to white smokers, Black smokers are at disproportionately higher risk for smoking-related disease, despite consuming fewer cigarettes per day (CPD). To examine racial disparities in biobehavioral influences on smoking and disease risk, we analyzed the relationship between self-reported tobacco dependence and intensity of tobacco smoke exposure per cigarette, on the one hand, and intensity of nicotine intake per cigarette, on the other. METHODS: In 270 Black and 516 white smokers, smoke exposure was measured by expired carbon monoxide (CO), and nicotine intake was measured by plasma cotinine (COT) and cotinine+3'-hydroxycotinine ([COT + 3HC]). Using linear regression analyses, we analyzed how the Fagerström Test for Cigarette Dependence (FTCD) predicted intensity of smoke exposure per cigarette (CO/CPD) and intensity of nicotine intake per cigarette (COT/CPD; [COT + 3HC]/CPD), and how race moderated these relations. RESULTS: Overall, Black smokers consumed fewer CPD than white smokers and had higher levels of CO/CPD, COT/CPD, and [COT + 3HC]/CPD. These elevations were most pronounced at lower levels of dependence: amongst Black smokers, FTCD negatively predicted intensity of smoke exposure as measured by CO/CPD (B = -0.12, 95% CI = -0.18, -0.05, p = 0.0003) and intensity of nicotine intake as measured by [COT + 3HC]/CPD (B = -1.31, 95% CI = -2.15, -0.46, p = 0.002). CONCLUSIONS: Low-dependence Black smokers had higher intensities of both smoke exposure and nicotine intake per cigarette compared to similarly dependent white smokers, suggesting that measures of dependence, exposure, and intake underestimate incremental risk of each cigarette to Black smokers.

Sociodemographic Determinants of Life's Simple 7: Implications for Achieving Cardiovascular Health and Health Equity Goals.

Background: Life's Simple 7 (LS7; nutrition, physical activity, cigarette use, body mass index, blood pressure, cholesterol, glucose) predicts cardiovascular health. The principal objective of our study was to define demographic and socioeconomic factors associated with LS7 to better inform programs addressing cardiovascular health and health equity. Methods: National Health and Nutrition Examination Surveys 1999-2016 data were analyzed on non-Hispanic White [NHW], NH Black [NHB], and Hispanic adults aged ≥20 years without cardiovascular disease. Each LS7 variable was assigned 0, 1, or 2 points for poor, intermediate, and ideal levels, respectively. Composite LS7 scores were grouped as poor (0-4 points), intermediate (5-9), and ideal (10-14). Results: 32,803 adults were included. Mean composite LS7 scores were below ideal across race/ethnicity groups. After adjusting for confounders, NHBs were less likely to have optimal LS7 scores than NHW (multivariable odds ratios (OR .44; 95% CI .37-.53), whereas Hispanics tended to have better scores (1.18; .96-1.44). Hispanics had more ideal LS7 scores than NHBs, although Hispanics had lower incomes and less education, which were independently associated with fewer ideal LS7 scores. Adults aged ≥45 years were less likely to have ideal LS7 scores (.11; .09-.12) than adults aged <45 years. Conclusions: NHBs were the least likely to have optimal scores, despite higher incomes and more education than Hispanics, consistent with structural racism and Hispanic paradox. Programs to optimize lifestyle should begin in childhood to mitigate precipitous age-related declines in LS7 scores, especially in at-risk groups. Promoting higher education and reducing poverty are also important.

Social determinants of alcohol and cigarette use by race/ethnicity: Can we ignore measurement issues?

Psychometric critiques of cross-cultural research emphasize testing whether instruments measure the same construct across cultural groups. We tested for measurement invariance (by race/ethnicity) of instruments used to evaluate the relationship between alcohol and tobacco use with perceived discrimination and socioeconomic status (SES). Tests of psychometric equivalence across race/ethnicity focused on: the latent organization of constructs (configural invariance); if observed indicators have equal factor loadings or "true score" variance (metric invariance); and whether manifest indicators change uniformly contingent on change in the latent variable (scalar invariance). A cross-sectional survey of 2,376 cigarette smokers (794 Black, 786 Latinx, 796 White; mean age = 43 [SD = 12]; 58% female) was recruited via an online research panel. Discrimination was indicated by self-report; SES was indicated by self-reported education, employment, income, and the "SES Ladder;" alcohol use was indicated by frequency and typical quantity of drinking, and frequency of heavy drinking; tobacco use was indicated by frequency of smoking, cigarettes per smoking day, and time to first cigarette. All instruments demonstrated configural invariance; either full metric invariance (alcohol and discrimination) or partial metric invariance (tobacco and SES); and all constructs demonstrated partial scalar invariance. Results support psychometric critiques; for example, all of the SES indicators violated assumptions of classical measurement theory for valid between group comparisons. All of our instruments displayed some degree of systematic bias in measurement across race/ethnicity. Studies testing ethnic/racial differences may need to move beyond classical measurement theory, and may benefit from using statistical approaches that can test for (and model) bias in measurement. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

With socioeconomic status controlled, cigarette use is lower among American Indians/Alaska Natives than whites.

BACKGROUND: Higher crude prevalence of cigarette use among American Indians/Alaska Natives (AI/AN) than non-Hispanic whites (NHW) has helped engender an assumption that race/ethnicity explains the difference. This study examines whether being AI/AN versus NHW predicts greater use when socioeconomic status and demographics are controlled. METHODS: Data came from the National Survey on Drug Use and Health (2013-2017). Using logistic regressions with socioeconomic (income, education) and demographic (gender, age, marital status) controls, differences between AI/AN (n = 4,305) and NHW (n = 166,348) regarding heavier cigarette use (past month daily use, past month use of 300+ cigarettes, and nicotine dependence) and current cigarette use (past month use plus 100+ cigarettes in lifetime) were assessed. Adjusted predicted probabilities were also constructed. RESULTS: NHW, compared to AI/AN, had greater odds of daily use: adjusted odds ratio (AOR) = 1.23 (95% CI: 1.03-1.49); predicted probabilities-15.3% and 13.0%, respectively. NHW had greater odds of using 300+ cigarettes: AOR = 1.47 (CI: 1.19-1.83); predicted probabilities-13.6% and 9.9%. NHW had greater odds of being nicotine dependent: AOR = 1.57 (CI: 1.31-1.89); predicted probabilities-10.3% and 7.1%. A difference in current use was not found. As controls, income and education were especially impactful. CONCLUSIONS: With controls, particularly for socioeconomic status, heavier cigarette use was lower among AI/AN than NHW, and a current cigarette use difference was not indicated. This contradicts the idea that being AI/AN versus NHW independently predicts greater cigarette use, and it underscores the importance of socioeconomic status for understanding cigarette use among AI/AN.

A Comparison of Common Health Indicators From Two Surveys of Latinos in the Bronx, New York.

INTRODUCTION: Population health surveys inform and demonstrate the impact of public health policies. However, the performance of such surveys in specific groups of interest (e.g., Hispanics/Latinos in a neighborhood of New York City) is rarely studied. METHOD: We compared measures for obesity, hypertension, diabetes, and current smoking based on the New York City Community Health Survey (CHS, a telephone survey of New York City adults) with the Hispanic Community Health Survey/Study of Latinos (HCHS/SOL), an in-person survey of Hispanic/Latino adults in four communities in the United States (2008-2011), including the Bronx. CHS data were limited to Hispanic/Latinos living in the HCHS/SOL Bronx catchment area. RESULTS: Compared with CHS, HCHS/SOL estimated higher prevalence of obesity (in HCHS/SOL, PHCHS/SOL = 45.0% vs. in CHS, PCHS = 30.6%, p < .01) and current smoking (PHCHS/SOL = 21.2% vs. PCHS = 16.2%, p < .01) but similar for hypertension (PHCHS/SOL = 33.1% vs. PCHS = 33.8%, p > .05) and diabetes (PHCHS/SOL = 15.2% vs. PCHS = 15.7%, p > .05). Stratified estimates (by age, sex, education, and Hispanic/Latino heritage) followed similar trends. CONCLUSION: Our study emphasizes the importance of assessing potential bias in population-based surveys of Hispanics/Latinos and other populations of interest and highlights the complex nature of measuring health outcomes via population-based surveys.

Heterogeneity in Current Cigarette Smoking among Hispanic/Latino Heritage Groups in New York City, 2003-2016.

Objectives: We assessed differences in trends, prevalence, and sociodemographic correlates of current smoking among several predominant Hispanic/Latino heritage groups (Puerto Ricans, Dominicans, Central and South Americans, and other Hispanic/Latinos) in New York City (NYC). We additionally compared current smoking prevalence between heritage groups and non-Hispanic/Latino Whites. Design and Methods: Data from the Community Health Survey, a representative, dual-frame landline/cellphone survey, were analyzed to assess age-adjusted prevalence of current smoking, separately among heritage groups from 2003-2016. Logistic regression was used to estimate odds ratios and 95% CIs for current smoking by Hispanic/Latino heritage group relative to non-Hispanic/Latino Whites in combined 2012-2016 data. Logistic regression was also used to examine correlates of smoking among each heritage group, separately. Results: Between 2003-2016, current smoking prevalence decreased among all Hispanic/Latinos heritage groups except Puerto Ricans, who had the highest smoking prevalence among all groups examined. Sex-stratified trend analyses showed decreases among all groups except Puerto Rican and other Hispanic/Latino males. In multivariable-adjusted models, relative to non-Hispanic/Latino Whites, there was no association with current smoking among Puerto Ricans, but odds of smoking were lower among all other heritage groups. Female sex was inversely associated with current smoking among all heritage groups, and acculturation was positively associated with smoking among all groups except Central/South Americans. Lower educational attainment was strongly associated with smoking among Puerto Ricans. Conclusions: Lack of progress in reducing smoking among Puerto Ricans in NYC is concerning. Opportunities for cultural, sex-specific, and other targeted outreach to this community should be explored.

Disparities in current cigarette smoking among US adults, 2002-2016.

BACKGROUND: To assess disparities in current (past 30 days) cigarette smoking among US adults aged ≥ 18 years during 2002-2016. METHODS: Nine indicators associated with social disadvantage were analysed from the 2002 to 2016 National Survey on Drug Use and Health: education, annual family income, sex, race/ethnicity, urbanicity, serious psychological distress, health insurance, public assistance, and employment status. Using descriptive and multivariable analyses, we measured trends in smoking overall and within the assessed variables. We also evaluated effect of interactions on disparities and estimated the excess number of smokers attributable to disparities. RESULTS: During 2002-2016, current cigarette smoking prevalence declined overall (27.5%-20.7%; p trend < 0.01), and among all subgroups except Medicare insurees and American Indians/Alaska Natives (AI/ANs). Overall inequalities in cigarette smoking grew even wider or remained unchanged for several indicators during the study period. In 2016, comparing groups with the least versus the most social advantage, the single largest disparity in current smoking prevalence was seen by race/ethnicity (prevalence ratio = 5.1, AI/ANs vs Asians). Education differences alone explained 38.0% of the observed racial/ethnic disparity in smoking prevalence. Interactions were also present; compared with the population-averaged prevalence among all AI/AN individuals (34.0%), prevalence was much higher among AI/ANs with

Assessing racial differences in lifetime and current smoking status & menthol consumption among Latinos in a nationally representative sample.

Objective: To examine the relationship between race and smoking behaviors among Latinos/Hispanics. Design: Using data from the National Adult Tobacco Survey (NATS), we implemented Log-Poisson regression models for each dependent variable (smoking pattern and menthol cigarette use). Each analysis adjusted for age, gender, marital status, employment status, and socioeconomic status (SES). Final pooled cross-sectional sample included 505 Black-Latinos and 9078 White-Latinos. Results: While no racial differences were found in lifetime smoking status among Latinos, Black-Latinos had a 16.6% (95% CI: 0.274, 0.057) increased risk of menthol smoking compared to White-Latinos. Conclusions: The results indicate that menthol consumption is influenced by race among Hispanics/Latinos. To comprehensively address racial disparities among Latinos/Hispanics, further attention needs to be given to racial differences in smoking-related risks among Latinos/Hispanics.

Disparities in hospital smoking cessation treatment by immigrant status.

Despite the efficacy of nicotine replacement therapy (NRT) in promoting smoking cessation, no studies have been done to evaluate NRT prescribing rates among immigrants, a vulnerable minority population in the United States. The aim of this study is to explore for differences in NRT prescribing behavior by immigrant status. Participants were enrolled in a smoking cessation trial for hospitalized patients between July 2011 and April 2014 at two NYC hospitals. For this analysis, we used baseline data from patient surveys and electronic medical-record reviews to examine associations between immigrant status and prescription of NRT in-hospital and on discharge, as well as acceptance of NRT in-hospital. We included age, gender, education, health literacy, race, ethnicity, English language ability, inpatient service, and site insurance in the models as potential confounders. Our study population included 1,608 participants, of whom 21% were not born in the United States. Bivariate analysis found that nonimmigrants were more likely than immigrants to be prescribed NRT in the hospital (46.1% vs. 35.7%, p = .0006) and similarly on discharge (19.4% vs. 15.3%, p = .09). Both groups were equally likely to accept NRT in-hospital when prescribed. On multivariable analysis, being an immigrant (OR 0.65), Black race (OR 0.52), and Hispanic ethnicity (OR 0.63) were associated with lower likelihood of being prescribed NRT in-hospital. Multivariable analysis for provision of NRT prescription at discharge showed no significant difference between immigrants and nonimmigrants. These findings show differences in in-hospital smoking cessation treatment between immigrants and nonimmigrants.

Socioeconomic Status, Social Context, and Smoking Lapse During a Quit Attempt: An Ecological Momentary Assessment Study.

BACKGROUND: Low socioeconomic status (SES) is linked to failure to quit smoking. Health inequity models suggest that low SES smokers experience barriers to quitting in part due to greater exposure to pro-smoking social contexts. PURPOSE: The current study examined longitudinal associations among socioeconomic status, pro-smoking social context factors (i.e., exposure to other smokers, places where smoking was allowed), cigarette availability, and smoking lapse during a quit attempt. METHODS: Ecological momentary assessments (EMA) were gathered from a multiethnic sample of 365 smokers engaged in a quit attempt. A multilevel structural equation model estimated a latent variable for SES indicated by income, education, health insurance, and employment, associations among EMAs for pro-smoking social contexts and cigarette availability, and indirect effects of SES through, pro-smoking social contexts and cigarette availability to subsequent smoking lapse. RESULTS: Lower SES scores were associated with a higher likelihood of smoking lapse. Decomposition of the path from SES to smoking lapse into indirect effects showed significant paths through exposure to places where smoking is allowed and cigarette availability. Additionally, significant serial indirect paths from SES through both exposure to other smokers and places where smoking was allowed, in turn, through cigarette availability, and, ultimately, to smoking lapse were noted. CONCLUSIONS: Consistent with models positing that SES influences health behaviors via contextual factors, the current study demonstrated that low SES smokers attempting to quit experienced greater pro-smoking social contexts that affected subsequent risk for lapse.

Trends in cigarette smoking among American Indians and Alaska Natives in the USA: 1992-2015.

PURPOSE: While smoking prevalence may be declining in the general population, health disparities in tobacco use remain a public health priority. This study examined national, sociodemographic, and geographic trends in American Indians and Alaska Natives (AIs/ANs) smoking prevalence from 1992/1993 to 2014/2015. Additionally, correlates of cigarette smoking were examined among this group. METHODS: Data were drawn from the 1992-2015 Tobacco Use Supplement to the Current Population Survey. Cochran-Armitage tests were used to assess changes in the prevalence of smoking over time in the population, as well by sociodemographic characteristics. Multivariable logistic regression was conducted to examine the correlates of cigarette smoking for AIs/ANs in 2014/2015. RESULTS: The trend analysis indicated that the prevalence of smoking, among AIs/ANs, decreased significantly from 39.1% in the 1992/1993 cycle to 20.9% in the 2014/2015. This decrease was seen in both males and females, with the prevalence of smoking decreasing from 43.6% and 35.4%, respectively, in 2006/2007 to 23.8% and 18.3% in 2014/2015. The decreasing trend was also found for all subgroups, except for the 55+ age group. Multivariable analysis showed higher odds of smoking among males, those with low income compared to those with median or higher income, and those living in non-metropolitan areas. Those aged 25-54 were more likely to be smokers compared with the 55+ age group. CONCLUSIONS: Results indicate a recent decrease in AIs/ANs smoking prevalence, although these populations still experience a high prevalence of smoking compared to the general population. Our findings highlight the need for a comprehensive tobacco control strategy that includes working with stakeholders within the AI/AN community.

Cigarette smoking and oral microbiota in low-income and African-American populations.

BACKGROUND: Cigarette smoking is a common risk factor for diseases and cancers. Oral microbiota is also associated with diseases and cancers. However, little is known about the impact of cigarette smoking on the oral microbiota, especially among ethnic minority populations. METHODS: We investigated cigarette smoking in relationship with the oral microbiota in a large population of predominately low-income and African-American participants. Mouth rinse samples were collected from 1616 participants within the Southern Community Cohort Study, including 592 current-smokers, 477 former-smokers and 547 never-smokers. Oral microbiota was profiled by 16S ribosomal RNA gene deep sequencing. RESULTS: Current-smokers showed a different overall microbial composition from former-smokers (p=6.62×10-7) and never-smokers (p=6.00×10-8). The two probiotic genera, Bifidobacterium and Lactobacillus, were enriched among current-smokers when compared with never-smokers, with Bonferroni-corrected p values (PBonferroni ) of 1.28×10-4 and 5.89×10-7, respectively. The phylum Actinobacteria was also enriched in current-smokers when compared with never-smokers, with a median relative abundance of 12.35% versus 9.36%, respectively, and with a PBonferroni =9.11×10-11. In contrast, the phylum Proteobacteria was depleted in current smokers (PBonferroni =5.57×10-13), with the relative abundance being almost three times that of never-smokers (7.22%) when compared with that of current-smokers (2.47%). Multiple taxa within these two phyla showed differences in abundance/prevalence between current-smokers and never-smokers at PBonferroni <0.05. The differences in the overall microbial composition and abundance/prevalence of most taxa were observed among both African-Americans and European-Americans. Meanwhile, such differences were not observed between former-smokers and never-smokers. CONCLUSION: Smoking has strong impacts on oral microbial community, which was recovered after smoking cessation.

Ethnic disparities in prevalence and clustering of cardiovascular disease risk factors in rural Southwest China.

BACKGROUND: This study examines how prevalence and clustering of cardiovascular disease (CVD) risk factors differ by ethnicity and socioeconomic status (SES) among rural southwest Chinese adults. METHODS: A cross-sectional survey of 7027 adults aged ≥35 years of Han and four ethnic minority group descent (Na Xi, Li Shu, Dai, and Jing Po) was used to derive prevalence of tobacco smoking and exposure to secondhand smoke (SHS) as well as alcohol consumption and physical activity data. Anthropometric measurements were also taken, including height, weight, and waist and hip circumference, as well as blood pressure (BP) and fasting blood glucose (FBG) measurements. RESULTS: Current smoking and drinking status were the top two CVD risk factors in the study population. Dai ethnic minority participants had the highest prevalence of hypertension, obesity, and central obesity, whereas Jing Po ethnic minority participants had the highest prevalence of current smoking status, SHS exposure, and current drinking status (P < 0.01). Han participants had the highest prevalence of diabetes and physical inactivity (P < 0.01). 11.1% of all participants did not have any of the studied CVD risk factors, while 68.6% of Han, 60.2% of Na Xi, 50.7% of Li Shu, 82.2% of Dai, and 73.0% of Jing Po participants had clustering of two or more CVD risk factors. Prevalence of CVD risk factor clusters increased with age (P < 0.01). Males and individuals with lower education levels and lower annual household income were more likely to have CVD risk factors than their counterparts (P < 0.01). CONCLUSION: Clustering of CVD risk factors is common in rural southwest China. Ethnicity and individual SES significantly impact prevalence of CVD risk factors and their clustering.

Substance Use among Economically Disadvantaged African American Older Adults; Objective and Subjective Socioeconomic Status.

Purpose. This study investigated the effects of objective and subjective socioeconomic status (SES) indicators on two health behaviors, cigarette smoking and alcohol drinking, among African American older adults. Methods. This community-based study recruited 619 economically disadvantaged African American older adults (age ≥ 65 years) residing in South Los Angeles. Structured face-to-face interviews were conducted to collect data. Data on demographic factors (age and gender), subjective SES (financial difficulties), objective SES (educational attainment), living arrangement, marital status, healthcare access (insurance), and health (number of chronic medical conditions, self-rated health, sick days, depression, and chronic pain) and health behaviors (cigarette smoking and alcohol drinking) were collected from participants. Logistic regressions were used to analyze the data. Results. High financial difficulties were associated with higher odds of smoking cigarettes and drinking alcohol, independent of covariates. Educational attainment did not correlate with our outcomes. Similar patterns emerged for cigarette smoking and alcohol drinking. Conclusion. Subjective SES indicators such as financial difficulties may be more relevant than objective SES indicators such as educational attainment to health risk behaviors such as cigarette smoking and alcohol drinking among African American older adults in economically constrain urban environments. Smoking and drinking may serve as coping mechanisms with financial difficulty, especially among African American older adults. In line with the minorities' diminished returns (MDR) theory, and probably due to discrimination against racial minorities, educational attainment has a smaller protective effect among economically disadvantaged African American individuals against health risk behaviors.

Tied Together: Adolescent Friendship Networks, Immigrant Status, and Health Outcomes.

This study examines the social integration of adolescent immigrants by directly analyzing the composition of their friendship networks. Using statistical network analysis, I first consider whether adolescents are more likely to befriend peers who share their immigrant generation status in a large, diverse sample of 7th through 12th graders from the National Longitudinal Study of Adolescent to Adult Health (n = 67,586). Next, I test whether having a higher proportion of same-generation friends can protect immigrant youth from experiencing negative health outcomes and adopting risky behaviors. Results indicate that adolescents are more likely to form friendships with peers who share their immigrant generation status and that this tendency is particularly strong for first-generation immigrants. Furthermore, immigrant youth with greater proportions of same-generation friends are less likely to report several negative health behaviors and outcomes. My findings suggest that same-generation friendships can serve as a protective mechanism for immigrant youth, which may help explain the existence of an immigrant health paradox.

The Influence of Tobacco Retailer Density and Poverty on Tobacco Use in a Densely Populated Urban Environment.

OBJECTIVES: Researchers have identified associations between neighborhood-level factors (eg, income level, tobacco retailer density) and smoking behavior, but few studies have assessed these factors in urban environments. We explored the effect of tobacco retailer density, neighborhood poverty, and housing type (multiunit and public) on smoking in a large urban environment (New York City). METHODS: We used data on smoking prevalence and individual sociodemographic characteristics from the 2011-2013 New York City Community Health Survey, data on tobacco retailers from the 2012 New York City Department of Consumer Affairs, data on neighborhood sociodemographic characteristics and population density from the 2009-2013 American Community Survey, and data on multiunit and public housing from the 2012 New York City Primary Land Use Tax Lot Output data set. We used aggregate neighborhood-level variables and ordinary least squares regression, geographic weighted regression, and multilevel models to assess the effects of tobacco retailer density and neighborhood poverty on smoking prevalence, adjusting for sociodemographic characteristics (age, sex, race/ethnicity, and education) and neighborhood population density. We also assessed interactions between tobacco retailer density and poverty and each housing type on smoking. RESULTS: Neighborhood poverty positively and significantly modified the association between tobacco retailer density and prevalence of neighborhood smoking ( ß = 0.003, P = .01) when we controlled for population density, sociodemographic characteristics, and types of housing. Neighborhood poverty was positively associated with the prevalence of individual smoking ( ß = 0.0099, P < .001) when we adjusted for population density, sociodemographic characteristics, and type of housing. CONCLUSION: More research is needed to determine all the environmental factors associated with smoking prevalence in a densely populated urban environment.

Intergenerational transmission of gender social norms and teenage smoking.

This paper provides evidence of different teenage-smoking dynamics between genders with social progression. In particular, we find that descending from more gender-equal societies makes girls relatively more prone to smoke than those from less gender-equal societies relative to their male counterparts. Using data from over 6,000 second-generation immigrant teenagers sharing culture and institutions from one host country (Spain) but coming from 45 different countries of ancestry, we find that the higher the degree of gender equality in the country of ancestry, the higher the likelihood that girls smoke relative to boys. Our result holds even after we control for parental, sibling, and peer smoking, as well as for country-of-ancestry indicators of economic development and the smoking gender gap, among others.

Disaggregating Asian American and Native Hawaiian and Other Pacific Islander (AANHOPI) Adult Tobacco Use: Findings from Wave 1 of the Population Assessment of Tobacco and Health (PATH) Study, 2013-2014.

INTRODUCTION: Tobacco studies often combine data for Asian American and Native Hawaiian and Other Pacific Islander (AANHOPI) subgroups, masking subgroup differences. This study describes tobacco use (ever use and past 30-day use) among some disaggregated AANHOPI subgroups. METHODS: Data are from Wave 1 of the 2013-2014 Population Assessment of Tobacco and Health (PATH) Study, a nationally representative, longitudinal cohort study of civilian non-institutionalized adults and youth in the USA. The dataset contains a sample of 32,320 adults, of which 1623 identified as being of AANHOPI origin. Asian Americans further identified as being Asian Indian, Chinese, Filipino, Japanese, Korean, Vietnamese, or other Asian. Those who identified as Native Hawaiian, Guamanian or Chamarro, Samoan, and Other Pacific Islander were combined into an NHOPI group. Tobacco measures included ever and past 30-day use of cigarettes, e-cigarettes, cigars (traditional cigar, cigarillos, filtered cigar), hookah, and smokeless tobacco including snus pouches, and pipe tobacco. Unadjusted and adjusted estimates for tobacco use are reported by AANHOPI membership and sex. RESULTS: In general, Asian Indians and Chinese had the lowest and NHOPI had the highest tobacco use prevalence compared to other AANHOPI subgroups. Males generally had higher prevalence compared to females. Prevalence varied by AANHOPI membership and tobacco product. Adjusted prevalence estimates were higher compared to unadjusted estimates for many subgroups, attenuating some unadjusted differences found between AANHOPI subgroups. DISCUSSION: Tobacco use varies by AANHOPI subgroup and product type. Unadjusted and adjusted analyses can be conducted as tobacco use differences in AANHOPI subgroups may be attributed to socio-economic status differences. Treating these distinct subgroups as a monolithic group may contribute to reliance on tobacco prevention and control strategies that may have limited impact on specific subgroups.