Association between cigar use, with and without cigarettes, and incident diagnosed COPD: a longitudinal cohort study.

BACKGROUND: While regular cigar smoking is believed to carry similar health risks as regular cigarette smoking, the impact of cigar use, alone or in combination with cigarettes, on obstructive pulmonary disease (COPD) has not been well characterized. The purpose of this study was to examine the prospective association between exclusive and dual cigar and cigarette use and incident self-reported diagnosed COPD. METHODS: This study used data from Waves 1-5 (2013-2019) of the Population Assessment of Tobacco and Health (PATH) Study, a nationally representative survey of U.S. adults. Longitudinal data from adults aged 40 to 79 at Wave 1, without a pre-existing COPD diagnosis who participated at follow-up interview were analyzed. A time-varying current tobacco exposure, lagged by one wave and categorized as: (a) never/non-current use; (b) exclusive cigar use; (c) exclusive cigarette use; and (d) dual cigar/cigarette use. Multivariable models adjusted for demographics (age, sex, race or ethnicity, education), clinical risk factors (asthma, obesity), and smoking-related confounders (second-hand smoke exposure, other combustible tobacco product use, e-cigarette use, time since quitting, cigarette pack-years). The incidence of self-reported diagnosed COPD was estimated using discrete-time survival models, using a general linear modeling (GLM) approach with a binomial distribution and a complementary log-log link function. RESULTS: The analytic sample consisted of 9,556 adults with a mean (SD) age of 56 (10.4), who were predominately female (52.8%) and Non-Hispanic White (70.8%). A total of 906 respondents reported a diagnosis of COPD at follow-up. In the fully adjusted model, exclusive cigar use (adjusted hazard ratio (aHR) = 1.57, 95% CI: 0.77, 3.21) was not associated with increased COPD risk compared to non-use, while exclusive cigarette use (aHR = 1.48, 95% CI: 1.13, 1.93) and dual cigar/cigarette use (aHR = 1.88, 95% CI: 1.24, 2.85) were. CONCLUSIONS: Exclusive cigarette use and dual cigar/cigarette use were associated with diagnosed incident COPD. These results suggest that cigars, when used in combination with cigarettes, may be associated with poorer COPD health outcomes. Dual use may promote a higher likelihood of inhaling cigar smoke, and future research would benefit from examining whether inhalation of cigar smoke increases COPD risk.

Cross-sectional patterns and longitudinal transitions of unflavored and flavored cigar use without and with cigarettes among United States adults.

INTRODUCTION: Over half of US adults who smoke cigars use flavored cigars, illustrating their broad appeal; however, their long-term impact on cigar and cigarette use is unknown. METHODS: Using restricted data from Waves 1-5 (2013-2019) of the Population Assessment of Tobacco and Health Study, we investigated cross-sectional patterns and longitudinal transition rates of unflavored and flavored cigar use with and without cigarettes among a nationally representative sample of US adults. RESULTS: Proportionally, more adults who used flavored cigars without or with cigarettes were younger and female. More adults with exclusive cigar use were non-Hispanic Black. More adults with dual use had lower educational attainment. The median number of cigars smoked daily and tobacco dependence was highest among adults who used flavored cigars with cigarettes. Only 14.6% of adults with exclusive flavored cigar use at Wave 1 continued their use to Wave 5, with most transitioning to non-current (46.4%) or exclusive cigarette use (22.9%). Likewise, 13.8% of adults with dual flavored cigar and cigarette use at Wave 1 continued their use to Wave 5, with 57.6% transitioning to exclusive cigarette use and 19.7% transitioning to non-current use. Comparatively, 72.9% of adults with exclusive cigarette use continued their use to Wave 5, while 23.6% transitioned to non-current use. CONCLUSION: Adult cigar use was less stable than cigarette use, particularly among those who use flavored cigars. Future research should investigate whether these transition patterns between flavored and unflavored cigar and cigarette use vary across sociodemographic groups and their potential long-term health implications.

A Longitudinal Analysis of Flavored Cigar Use and Cigar Smoking Cessation Among US Adults.

BACKGROUND: Flavorings in cigars increase their appeal, mask the harsh taste of tobacco, and may hinder successful cigar smoking cessation; however, limited evidence has examined whether flavors are associated with short- or long-term cigar smoking cessation. AIMS AND METHODS: Using restricted data from the Population Assessment of Tobacco and Health Study Waves 1-5, we examined whether flavored cigar use was associated with 30-day-plus and 1-year-plus cigar smoking cessation among US adults. Multivariable discrete-time survival models were fit to a nationally representative sample of US adult (18+) respondents who had a current, established cigar use, smoked five or more days in the past 30 days, and did not exclusively smoke traditional premium cigars at baseline. Models adjusted for age, sex, race and ethnicity, income, cigar and cigarette smoking intensity, and blunt use. RESULTS: At baseline, 44.6% of respondents (n = 674) were 18-34 years old, 75.0% were male, 56.7% were non-Hispanic White, 78.9% had household incomes of <$50,000, and 56.2% smoked flavored cigars. In fully adjusted models, flavored cigar use was associated with a lower risk of 30-day-plus (HR = 0.76, 95% CI = 0.60, 0.97) but not 1-year-plus cigar smoking cessation (HR = 0.81, 95% = 0.62, 1.05). CONCLUSIONS: We found that flavored cigar use was associated with a lower risk of short-term but not long-term cigar smoking cessation. More work is needed to understand the dynamics of cigar smoking transitions, including initiation, cessation, and relapse, particularly in larger cohorts and among those who exclusively use cigars or dual-use cigars and cigarettes. IMPLICATIONS: As local and some state jurisdictions continue to adopt partial or complete bans of flavored cigar products and the United States Food and Drug Administration considers a national ban of all characterizing flavors in cigars, there is a need for more longitudinal work examining the associations between flavorings in cigars and short and long-term cigar-smoking behaviors, including but not limited to initiation, cessation, intensity of use, and relapse, particularly in diverse cohorts.

Differences in Weight Gain Following Residential Relocation in the Moving to Health (M2H) Study.

BACKGROUND: Neighborhoods may play an important role in shaping long-term weight trajectory and obesity risk. Studying the impact of moving to another neighborhood may be the most efficient way to determine the impact of the built environment on health. We explored whether residential moves were associated with changes in body weight. METHODS: Kaiser Permanente Washington electronic health records were used to identify 21,502 members aged 18-64 who moved within King County, WA between 2005 and 2017. We linked body weight measures to environment measures, including population, residential, and street intersection densities (800 m and 1,600 m Euclidian buffers) and access to supermarkets and fast foods (1,600 m and 5,000 m network distances). We used linear mixed models to estimate associations between postmove changes in environment and changes in body weight. RESULTS: In general, moving from high-density to moderate- or low-density neighborhoods was associated with greater weight gain postmove. For example, those moving from high to low residential density neighborhoods (within 1,600 m) gained an average of 4.5 (95% confidence interval [CI] = 3.0, 5.9) lbs 3 years after moving, whereas those moving from low to high-density neighborhoods gained an average of 1.3 (95% CI = -0.2, 2.9) lbs. Also, those moving from neighborhoods without fast-food access (within 1600m) to other neighborhoods without fast-food access gained less weight (average 1.6 lbs [95% CI = 0.9, 2.4]) than those moving from and to neighborhoods with fast-food access (average 2.8 lbs [95% CI = 2.5, 3.2]). CONCLUSIONS: Moving to higher-density neighborhoods may be associated with reductions in adult weight gain.

Association of State Minimum Wage Rates and Health in Working-Age Adults Using the National Health Interview Survey.

States adopt minimum wages to improve workers' economic circumstances and well-being. Many studies, but not all, find evidence of health benefits from higher minimum wages. This study used a rigorous "triple difference" strategy to identify the associations between state minimum wages and adult obesity, body mass index (weight (kg)/height (m)2), hypertension, diabetes, fair or poor health, and serious psychological distress. National Health Interview Survey data (United States, 2008-2015) on adults aged 25-64 years (n = 131,430) were linked to state policies to estimate the prevalence odds ratio or mean difference in these outcomes associated with a $1 increase in current and 2-year lagged minimum wage among less-educated adults overall and by sex, race/ethnicity, and age. In contrast to prior studies, there was no association between current minimum wage and health; however, 2-year lagged minimum wage was positively associated with the likelihood of obesity (prevalence odds ratio = 1.08, 95% confidence interval: 1.00, 1.16) and with elevated body mass index (mean difference = 0.27, 95% confidence interval: 0.04, 0.49). In subgroup models, current and 2-year lagged minimum wage were associated with a higher likelihood of obesity among male and non-White or Hispanic adults. The associations with hypertension also varied by sex and the timing of the exposure.

Differential associations of the built environment on weight gain by sex and race/ethnicity but not age.

OBJECTIVE: To explore the built environment (BE) and weight change relationship by age, sex, and racial/ethnic subgroups in adults. METHODS: Weight trajectories were estimated using electronic health records for 115,260 insured Kaiser Permanente Washington members age 18-64 years. Member home addresses were geocoded using ArcGIS. Population, residential, and road intersection densities and counts of area supermarkets and fast food restaurants were measured with SmartMaps (800 and 5000-meter buffers) and categorized into tertiles. Linear mixed-effect models tested whether associations between BE features and weight gain at 1, 3, and 5 years differed by age, sex, and race/ethnicity, adjusting for demographics, baseline weight, and residential property values. RESULTS: Denser urban form and greater availability of supermarkets and fast food restaurants were associated with differential weight change across sex and race/ethnicity. At 5 years, the mean difference in weight change comparing the 3rd versus 1st tertile of residential density was significantly different between males (-0.49 kg, 95% CI: -0.68, -0.30) and females (-0.17 kg, 95% CI: -0.33, -0.01) (P-value for interaction = 0.011). Across race/ethnicity, the mean difference in weight change at 5 years for residential density was significantly different among non-Hispanic (NH) Whites (-0.47 kg, 95% CI: -0.61, -0.32), NH Blacks (-0.86 kg, 95% CI: -1.37, -0.36), Hispanics (0.10 kg, 95% CI: -0.46, 0.65), and NH Asians (0.44 kg, 95% CI: 0.10, 0.78) (P-value for interaction <0.001). These findings were consistent for other BE measures. CONCLUSION: The relationship between the built environment and weight change differs across demographic groups. Careful consideration of demographic differences in associations of BE and weight trajectories is warranted for investigating etiological mechanisms and guiding intervention development.

Does the built environment have independent obesogenic power? Urban form and trajectories of weight gain.

OBJECTIVE: To determine whether selected features of the built environment can predict weight gain in a large longitudinal cohort of adults. METHODS: Weight trajectories over a 5-year period were obtained from electronic health records for 115,260 insured patients aged 18-64 years in the Kaiser Permanente Washington health care system. Home addresses were geocoded using ArcGIS. Built environment variables were population, residential unit, and road intersection densities captured using Euclidean-based SmartMaps at 800-m buffers. Counts of area supermarkets and fast food restaurants were obtained using network-based SmartMaps at 1600, and 5000-m buffers. Property values were a measure of socioeconomic status. Linear mixed effects models tested whether built environment variables at baseline were associated with long-term weight gain, adjusting for sex, age, race/ethnicity, Medicaid insurance, body weight, and residential property values. RESULTS: Built environment variables at baseline were associated with differences in baseline obesity prevalence and body mass index but had limited impact on weight trajectories. Mean weight gain for the full cohort was 0.06 kg at 1 year (95% CI: 0.03, 0.10); 0.64 kg at 3 years (95% CI: 0.59, 0.68), and 0.95 kg at 5 years (95% CI: 0.90, 1.00). In adjusted regression models, the top tertile of density metrics and frequency counts were associated with lower weight gain at 5-years follow-up compared to the bottom tertiles, though the mean differences in weight change for each follow-up year (1, 3, and 5) did not exceed 0.5 kg. CONCLUSIONS: Built environment variables that were associated with higher obesity prevalence at baseline had limited independent obesogenic power with respect to weight gain over time. Residential unit density had the strongest negative association with weight gain. Future work on the influence of built environment variables on health should also examine social context, including residential segregation and residential mobility.

Seattle's minimum wage ordinance did not affect supermarket food prices by food processing category.

OBJECTIVE: To examine the impacts of Seattle's minimum wage ordinance on food prices by food processing category. DESIGN: Supermarket food prices were collected for 106 items using a University of Washington Center for Public Health Nutrition market basket at affected and unaffected supermarket chain stores at three times: March 2015 (1-month pre-policy enactment), May 2015 (1-month post-policy enactment) and May 2016 (1-year post-policy enactment). Food items were categorized into four food processing groups, from minimally to ultra-processed. Data were analysed across time using a multilevel, linear difference-in-differences model at the store and price level stratified by level of food processing. SETTING: Six large supermarket chain stores located in Seattle ('intervention') affected by the policy and six same-chain but unaffected stores in King County ('control'), Washington, USA. SUBJECTS: One hundred and six food and beverage items. RESULTS: The largest change in average price by food item was +$US 0·53 for 'processed foods' in King County between 1-month post-policy and 1-year post-policy enactment (P < 0·01). The smallest change was $US 0·00 for 'unprocessed or minimally processed foods' in Seattle between 1-month post-policy and 1-year post-policy enactment (P = 0·94). No significant changes in averaged chain prices were observed across food processing level strata in Seattle v. King County stores at 1-month or 1-year post-policy enactment. CONCLUSIONS: Supermarket food prices do not appear to be differentially impacted by Seattle's minimum wage ordinance by level of the food's processing. These results suggest that the early implementation of a city-level minimum wage policy does not alter supermarket food prices by level of food processing.

Declining Trends and Widening Disparities in Overweight and Obesity Prevalence Among Massachusetts Public School Districts, 2009-2014.

OBJECTIVES: We evaluated the overall and sociodemographic disparities in trends in prevalence of childhood overweight and obesity in Massachusetts public school districts between 2009 and 2014. METHODS: In 2009, Massachusetts mandated annual screening of body mass index for students in grades 1, 4, 7, and 10. This was part of the statewide Mass in Motion prevention programs. We assessed trends in the prevalence of overweight and obesity between 2009 and 2014 by district, gender, grade, and district income. RESULTS: From 2009 to 2014, prevalence decreased 3.0 percentage points (from 34.3% to 31.3%) statewide. The 2014 district-level rates ranged from 13.9% to 54.5% (median = 31.2%). When stratified by grade, the decreasing trends were significant only for grades 1 and 4. Although rates of districts with a median household income greater than $37, 000 improved notably, rates of the poorest remain unchanged and were approximately 40%. CONCLUSIONS: Although overall prevalence began to decrease, the geographic and socioeconomic disparities in childhood obesity are widening and remain a public health challenge in Massachusetts. Special efforts should be made to address the needs of socioeconomically disadvantaged districts and to narrow the disparities in childhood obesity.

Racial, ethnic, and gender differences in the association between higher state minimum wages and health and mental well-being in US adults with low educational attainment.

BACKGROUND: To date, research evaluating the association between minimum wage and health has been heterogenous and varies based on the specific subpopulation or health outcomes under evaluation while associations across racial, ethnic, and gender identities have been understudied. METHODS: A triple difference-in-differences strategy using modified Poisson regression was used to evaluate the associations between minimum wage and obesity, hypertension, fair or poor general health, and moderate psychological distress in 25-64-year-old adults with a high school education/GED or less. Data from the 1999-2017 Panel Study of Income Dynamics was linked to state policies and characteristics to estimate the risk ratio (RR) associated with a $1 increase in current and 2-year lagged state minimum wages overall and by race, ethnicity, and gender (non-Hispanic or non-Latino (NH) White men, NH White women, Black, indigenous, or people of color (BIPOC) men, and BIPOC women) adjusting for individual and state-level confounding. RESULTS: No associations between minimum wage and health were observed overall. Among NH White men 2-year lagged minimum wage was associated with reduced risk of obesity (RR = 0.82, 95% CI = 0.67, 0.99). Among NH White women, current minimum wage was associated lower risk of moderate psychological distress (RR = 0.73, 95% CI = 0.54, 1.00) while 2-year lagged minimum wage was associated with higher obesity risk (RR = 1.35, 95% CI = 1.12, 1.64) and lower risk of moderate psychological distress (RR = 0.75, 95% CI = 0.56, 1.00). Among BIPOC women, current minimum wage was associated with higher risk of fair or poor health (RR = 1.19, 95% CI = 1.02, 1.40). No associations were observed among BIPOC men. CONCLUSION: While no associations were observed overall, heterogeneous associations between minimum wage, obesity, and psychological distress by racial, ethnic, and gender strata warrant further study and have implications for health equity research.

Associations between neighborhood built environment, residential property values, and adult BMI change: The Seattle Obesity Study III.

Objective: To examine associations between neighborhood built environment (BE) variables, residential property values, and longitudinal 1- and 2-year changes in body mass index (BMI). Methods: The Seattle Obesity Study III was a prospective cohort study of adults with geocoded residential addresses, conducted in King, Pierce, and Yakima Counties in Washington State. Measured heights and weights were obtained at baseline (n = 879), year 1 (n = 727), and year 2 (n = 679). Tax parcel residential property values served as proxies for individual socioeconomic status. Residential unit and road intersection density were captured using Euclidean-based SmartMaps at 800 m buffers. Counts of supermarket (0 versus. 1+) and fast-food restaurant availability (0, 1-3, 4+) were measured using network based SmartMaps at 1600 m buffers. Density measures and residential property values were categorized into tertiles. Linear mixed-effects models tested whether baseline BE variables and property values were associated with differential changes in BMI at year 1 or year 2, adjusting for age, gender, race/ethnicity, education, home ownership, and county of residence. These associations were then tested for potential disparities by age group, gender, race/ethnicity, and education. Results: Road intersection density, access to food sources, and residential property values were inversely associated with BMI at baseline. At year 1, participants in the 3rd tertile of density metrics and with 4+ fast-food restaurants nearby showed less BMI gain compared to those in the 1st tertile or with 0 restaurants. At year 2, higher residential property values were predictive of lower BMI gain. There was evidence of differential associations by age group, gender, and education but not race/ethnicity. Conclusion: Inverse associations between BE metrics and residential property values at baseline demonstrated mixed associations with 1- and 2-year BMI change. More work is needed to understand how individual-level sociodemographic factors moderate associations between the BE, property values, and BMI change.

The Initial Nonprofit Exposure and Response to Seattle's Minimum Wage Ordinance.

Nearly 40 local governments adopted minimum wage rates higher than the federal minimum in the last decade. Research on such laws focuses on employment and price adjustments of for-profit firms. Higher minimum wage rates, however, may pose unique challenges to community-based nonprofit organizations, many of which serve vulnerable communities and have limited ability to modify business practices. We use survey and in-depth interview data with more than 125 nonprofit executives to explore how nonprofit organizations were exposed to, understood, and responded to the initial phase-in of Seattle's $15 minimum wage ordinance. Although most nonprofits with low-wage workers do not report substantial programmatic changes in response to the minimum wage, we do find evidence nonprofits are pursuing several avenues to raise revenue to cover higher anticipated labor costs. Results suggest that the channels of adjustment available to nonprofits have a different character than those available to for-profit firms.