US Cigarette Smoking Disparities by Race and Ethnicity - Keep Going and Going!

INTRODUCTION: Although current cigarette smoking among US adults decreased from 42.4% in 1965 to 12.5% in 2020, prevalence is higher among certain racial and ethnic groups, including non-Hispanic American Indian and Alaska Native (AIAN) adults. METHODS: We examined trends in current cigarette smoking prevalence, population estimates, and relative disparity among US adults (aged ≥18 y) between 2011 and 2020 by using data from the National Health Interview Survey. SAS-callable SUDAAN was used to obtain prevalence and population estimates, and relative disparity was calculated on the basis of findings in the literature. Trends were significant at P < .05. RESULTS: From 2011 to 2020, linear decreases in prevalence and population estimates were observed for non-Hispanic White (20.6% to 13.3%; 32.1 million to 20.7 million), non-Hispanic Black (19.4% to 14.4%; 5.1 million to 4.0 million), and Hispanic (12.9% to 8.0%; 4.2 million to 3.3 million) adults. For non-Hispanic AIAN adults, prevalence remained around 27%, and a linear increase in the population estimate was observed from 400,000 to 510,000. Relative disparity did not change across racial and ethnic categories. CONCLUSION: Linear decreases have occurred between 2011 and 2020 for non-Hispanic White, non-Hispanic Black, and Hispanic adults who smoke, but the number of non-Hispanic AIAN adults who currently smoke has increased by 110,000, and relative disparities persist. To reduce racial and ethnic disparities in smoking, understanding how factors at multiple socioecologic levels impact smoking and helping to inform paths to equitable reach and implementation of tobacco control interventions for all population groups are needed.

State-specific prevalence of current e-cigarette use by disability status and disability type-United States, BRFSS 2016-2018.

BACKGROUND: Cigarette smoking is the leading cause of preventable disease and death in the United States. The tobacco product landscape has diversified to include electronic cigarettes (e-cigarettes). Adults with disabilities are more likely than adults without disabilities to smoke cigarettes, but within the current body of literature, there is limited information on the use of e-cigarettes among adults with disabilities. OBJECTIVE: To assess overall and state-specific prevalence of current e-cigarette use among adults by disability status, disability type, sex, and age. METHODS: Disability was defined as having serious difficulty with vision, hearing, mobility, cognition, or any difficulty with self-care or independent living. The Behavioral Risk Factor Surveillance System cross-sectional survey data (2016-2018; n = 1,150,775) were used to estimate state and District of Columbia prevalence of current e-cigarette use among adults (aged ≥18 years) with and without disabilities, overall and by disability type, sex, and age group. RESULTS: Median prevalence of current e-cigarette use was higher among adults with than without disabilities (6.5% vs. 4.3%, P < 0.05). Among adults with disabilities, use varied from 2.5% in DC to 10.0% in Colorado; median use was highest among those with cognitive disabilities (10.0%) and those aged 18-24 years (18.7%). CONCLUSIONS: Prevalence of current e-cigarette use was higher among adults with than without disabilities and varied across states by disability status, type, and age group. The findings underscore the need to monitor e-cigarette use among adults with disabilities and specifically include them in tobacco control policies and programs addressing e-cigarette use.

Association of smoke-free laws with preterm or low birth weight deliveries-A multistate analysis.

OBJECTIVE: To assess the association between the change in statewide smoke-free laws and the rate of preterm or low birth weight delivery hospitalizations. DATA SOURCE: 2002-2013 Healthcare Cost and Utilization Project State Inpatient Databases. STUDY DESIGN: Quasi-experimental difference-in-differences design. We used multivariate logistic models to estimate the association between the change in state smoke-free laws and preterm or low birth weight delivery hospitalizations. The analyses were also stratified by maternal race/ethnicity to examine the differential effects by racial/ethnic groups. DATA COLLECTION/EXTRACTION METHODS: Delivery hospitalizations among women aged 15-49 years were extracted using the International Classification of Diseases, Ninth Revision, and Diagnosis-Related Group codes. PRINCIPAL FINDINGS: Non-Hispanic black mothers had a higher rate of preterm or low birth weight delivery hospitalization than other racial/ethnic groups. Overall, there was no association between the change in smoke-free laws and preterm or low birth weight delivery rate. Among non-Hispanic black mothers, the change in statewide smoke-free laws was associated with a 0.9-1.9 percentage point (P < .05) reduction in preterm or low birth weight delivery rate beginning in the third year after the laws took effect. There was no association among non-Hispanic white mothers. A decline in the black-white disparity of 0.6-1.6 percentage points (P < .05) in preterm or low birth weight delivery rates was associated with the change in state smoke-free laws. CONCLUSION: The change in state smoke-free laws was associated with a reduction in racial/ethnic disparities in preterm or low birth weight delivery hospitalizations in selected US states.

Trends and Associations of Menthol Cigarette Smoking Among US Middle and High School Students-National Youth Tobacco Survey, 2011-2018.

INTRODUCTION: Youth cigarette smoking decreased significantly over the last two decades in the United States. This study provides estimates and trends from 2011 to 2018 and factors associated with youth menthol and non-menthol smoking from 2016 to 2018. METHODS: Using data from the 2011-2018 National Youth Tobacco Surveys, past 30-day (current) menthol and non-menthol cigarette smoking were estimated for all youth (prevalence) and youth smokers (proportions). Trends were examined using Joinpoint regression, calculating the annual percent change (APC). Multivariate logistic regression analyses identified factors associated with menthol smoking. RESULTS: From 2011 to 2018, menthol cigarette smoking among current youth cigarette smokers significantly decreased from 57.3% to 45.7% (APC: -3.0%), while non-menthol (38.2% to 47.3% [APC: 2.9%]) and unknown menthol status (not sure\missing) (4.5% to 7.0% [APC: 7.1%]) significantly increased. Menthol cigarette smoking among high school, male, female, and non-Hispanic white current cigarette smokers decreased, but remained unchanged among middle school, non-Hispanic black, and Hispanic smokers. Significantly higher proportions of menthol cigarette smokers smoked on ≥20 days, ≥2 cigarettes per day, and ≥100 cigarettes in their lifetime compared to non-menthol smokers. Among current cigarette smokers, non-Hispanic blacks, Hispanics, flavored non-cigarette tobacco users, frequent smokers (≥20 days), those smoking 2-5 cigarettes per day, and those living with someone who uses tobacco had higher odds of menthol cigarette smoking. CONCLUSIONS: In 2018, nearly half of current youth cigarette smokers smoked menthol cigarettes. While menthol cigarette smoking declined from 2011 to 2018 among all youth and among youth smokers, there was no change in menthol cigarette smoking among non-Hispanic black, Hispanic, and middle school cigarette smokers. IMPLICATIONS: This study finds that overall cigarette and menthol cigarette smoking declined in youth from 2011 to 2018. However, menthol cigarette smoking among non-Hispanic black, Hispanic, and middle school youth cigarette smokers did not change. Information from this study can help inform efforts to reduce menthol cigarette smoking among US youth, particularly racial/ethnic minority populations.

Severe Pulmonary Disease Associated with Electronic-Cigarette-Product Use - Interim Guidance.

On September 6, 2019, this report was posted as an MMWR Early Release on the MMWR website (https://www.cdc.gov/mmwr). As of August 27, 2019, 215 possible cases of severe pulmonary disease associated with the use of electronic cigarette (e-cigarette) products (e.g., devices, liquids, refill pods, and cartridges) had been reported to CDC by 25 state health departments. E-cigarettes are devices that produce an aerosol by heating a liquid containing various chemicals, including nicotine, flavorings, and other additives (e.g., propellants, solvents, and oils). Users inhale the aerosol, including any additives, into their lungs. Aerosols produced by e-cigarettes can contain harmful or potentially harmful substances, including heavy metals such as lead, volatile organic compounds, ultrafine particles, cancer-causing chemicals, or other agents such as chemicals used for cleaning the device (1). E-cigarettes also can be used to deliver tetrahydrocannabinol (THC), the principal psychoactive component of cannabis, or other drugs; for example, "dabbing" involves superheating substances that contain high concentrations of THC and other plant compounds (e.g., cannabidiol) with the intent of inhaling the aerosol. E-cigarette users could potentially add other substances to the devices. This report summarizes available information and provides interim case definitions and guidance for reporting possible cases of severe pulmonary disease. The guidance in this report reflects data available as of September 6, 2019; guidance will be updated as additional information becomes available.

A longitudinal assessment of adherence to breast and cervical cancer screening recommendations among women with and without intellectual disability.

Each year in the United States, about 4000 deaths are attributed to cervical cancer, and over 40,000 deaths are attributed to breast cancer (U.S. Cancer Statistics Working Group, 2015). The purpose of this study was to identify predictors of full, partial, and no screening for breast and cervical cancer among women with and without intellectual disability (ID) who are within the age group for screening recommended by the U.S. Preventive Service Task Force (USPSTF), while accounting for changes in recommendations over the study period. Women with ID and an age matched comparison group of women without ID were identified using merged South Carolina Medicaid and Medicare files from 2000 to 2010. The sample consisted of 9406 and 16,806 women for mammography screening and Papanicolaou (Pap) testing adherence, respectively. We estimated multinomial logistic regression models and determined that women with ID were significantly less likely than women without ID to be fully adherent compared to no screening with mammography recommendations (adjusted odds ratio [AOR]: 0.63, 95% confidence interval [CI] 0.55-0.72), and Pap testing recommendations (AOR: 0.17, 95% CI 0.16-0.19). For the 70% of women with ID for whom we had residential information, those who lived in a group home, medical facility, or supervised community living setting were more likely to be fully adherent with both preventive services than those living alone or with family members. For both outcomes, women residing in a supervised nonmedical community living setting had the highest odds of full adherence, adjusting for other covariates.

Prevalence of Cancer Screening Among Adults With Disabilities, United States, 2013.

INTRODUCTION: Many studies on cancer screening among adults with disabilities examined disability status only, which masks subgroup differences. We examined prevalence of receipt of cancer screening tests by disability status and type. METHODS: We used 2013 National Health Interview Survey data to assess prevalence of 1) guideline-concordant mammography, Papanicolaou (Pap) tests, and endoscopy and stool tests; 2) physicians' recommendations for these tests; and 3) barriers to health-care access among adults with and without disabilities (defined as difficulty with cognition, hearing, vision, or mobility). RESULTS: Reported Pap test use ranged from 66.1% (95% confidence interval [CI], 60.3%-71.4%) to 80.2% (95% CI, 72.4%-86.2%) among women with different types of disabilities compared with 81.4% (95% CI, 80.0%-82.7%) among women without disabilities. Prevalence of mammography among women with disabilities was also lower (range, 61.2% [95% CI, 50.5%-71.0%] to 67.5% [95% CI, 62.8%-71.9%]) compared with women without disabilities (72.8% [95% CI, 70.7%-74.9%]). Screening for colorectal cancer was 57.0% among persons without disabilities, and ranged from 48.6% (95% CI, 40.3%-57.0%) among those with vision limitations to 64.6% (95% CI, 58.5%-70.2%) among those with hearing limitations. Receiving recommendations for Pap tests and mammography increased all respondents' likelihood of receiving these tests. The most frequently reported barrier to accessing health care reported by adults with disabilities was difficulty scheduling an appointment. CONCLUSION: We observed disparities in receipt of cancer screening among adults with disabilities; however, disparities varied by disability type. Our findings may be used to refine interventions to close gaps in cancer screening among persons with disabilities.

Socioeconomic Factors at the Intersection of Race and Ethnicity Influencing Health Risks for People with Disabilities.

OBJECTIVES: People with disabilities are known to experience disparities in behavioral health risk factors including smoking and obesity. What is unknown is how disability, race/ethnicity, and socioeconomic status combine to affect prevalence of these health behaviors. We assessed the association between race/ethnicity, socioeconomic factors (income and education), and disability on two behavioral health risk factors. METHODS: Data from the 2007-2010 Behavioral Risk Factor Surveillance System were used to determine prevalence of cigarette smoking and obesity by disability status, further stratified by race and ethnicity as well as income and education. Logistic regression was used to determine associations of income and education with the two behavioral health risk factors, stratified by race and ethnicity. RESULTS: Prevalence of disability by race and ethnicity ranged from 10.1 % of Asian adults to 31.0 % of American Indian/Alaska Native (AIAN) adults. Smoking prevalence increased with decreasing levels of income and education for most racial and ethnic groups, with over half of white (52.4 %) and AIAN adults (59.3 %) with less than a high school education reporting current smoking. Education was inversely associated with obesity among white, black, and Hispanic adults with a disability. CONCLUSION: Smoking and obesity varied by race and ethnicity and socioeconomic factors (income and education) among people with disabilities. Our findings suggest that disparities experienced by adults with disabilities may be compounded by disparities associated with race, ethnicity, and socioeconomic factors. This knowledge may help programs in formulating health promotion strategies targeting people at increased risk for smoking and obesity, inclusive of those with disabilities.

Vital signs: disability and physical activity--United States, 2009-2012.

BACKGROUND: Adults with disabilities are less active and have higher rates of chronic disease than the general population. Given the health benefits of physical activity, understanding physical activity, its relationship with chronic disease, and health professional recommendations for physical activity among young to middle-age adults with disabilities could help increase the effectiveness of health promotion efforts. METHODS: Data from the 2009-2012 National Health Interview Survey (NHIS) were used to estimate the prevalence of, and association between, aerobic physical activity (inactive, insufficiently active, or active) and chronic diseases (heart disease, stroke, diabetes, and cancer) among adults aged 18-64 years by disability status and type (hearing, vision, cognitive, and mobility). The prevalence of, and association between, receiving a health professional recommendation for physical activity and level of aerobic physical activity was assessed using 2010 data. RESULTS: Overall, 11.6% of U.S. adults aged 18-64 years reported a disability, with estimates for disability type ranging from 1.7% (vision) to 5.8% (mobility). Compared with adults without disabilities, inactivity was more prevalent among adults with any disability (47.1% versus 26.1%) and for adults with each type of disability. Inactive adults with disabilities were 50% more likely to report one or more chronic diseases than those who were physically active. Approximately 44% of adults with disabilities received a recommendation from a health professional for physical activity in the past 12 months. CONCLUSIONS: Almost half of adults with disabilities are physically inactive and are more likely to have a chronic disease. Among adults with disabilities who visited a health professional in the past 12 months, the majority (56%) did not receive a recommendation for physical activity. IMPLICATIONS FOR PUBLIC HEALTH: These data highlight the need for increased physical activity among persons with disabilities, which might require support across societal sectors, including government and health care.