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Introduction: The COVID-19 pandemic has led to a major shift in workspace from office to home. This report examined how telecommuting is related to smoking behavior of wage and salary workers., Methods: Self-reported smoking behavior of 1,390 U.S. wage and salary workers aged 16-64 years from the Tobacco Use Supplement of the Current Population Survey 2018/19 were linked to the 2018 American Time Use Survey. Weighted multivariate logistic regression predicting smoking probability and generalized linear regression predicting smoking intensity were used for analysis., Results: Almost a fifth (19%) of wage and salary workers reported working from home and over a half (52%) reported working in telecommuting amenable occupations. Nearly 12% were current smokers, smoking 14.7 cigarettes daily on average. Compared to their counterparts, smoking prevalence (percentage points) was lower among those employed in telecommuting amenable occupations (-0.52, p < .001 for all; 0.01, p = .862 for men; -2.40, p < .001 for women) and who worked more frequently from home (-0.21, p < .001 for all; -0.76, p < .001 for men; -0.03, p = .045 for women). Smoking intensity (cigarettes per day) was lower among those employed in telecommuting amenable occupations (-3.39, p = .03 for all; -0.36, p = .90 for men; -4.30, p = .21 for women). We found no statistically significant association between smoking intensity and telecommuting frequency., Conclusions: The lower likelihood of smoking and lower level of smoking intensity among telecommuting wage and salary workers suggests the need for proactive efforts to address the potential exacerbation in occupation-related smoking disparities between occupations that are and are not amenable to telecommuting., (© 2021 The Authors. Journal of Occupational Health published by John Wiley & Sons Australia, Ltd on behalf of The Japan Society for Occupational Health.)

There is limited information on the relationship between parental practices that specifically discourage current cigarette smoking and adolescent cessation, and how this relationship varies by age. Among 1629 adolescent smokers, self-reported receipt of parental communication not to smoke was significantly and positively associated with readiness to quit. The strength and significance of this association decreased from early to middle adolescence and was not significant in late adolescence.

Context: Despite the general decline in prevalence of smoking and actual consumption of cigarettes, there is a heightened concern that this decline has not been uniform throughout the population and that specific subpopulations are adversely affected by tobacco use., Objective: To estimate smoking prevalence and cigarette consumption among Wisconsin subpopulations by demographic identifiers, gender, race, age, educational attainment, and income., Design, Setting and Participants: We estimated tobacco use among primary sub-populations in Wisconsin in 2003 from the Wisconsin Tobacco Survey. Approximately 8000 interviews were completed via a telephone survey., Main Outcome Measure: Smoking prevalence and tobacco consumption among sub-populations and related policy recommendations., Results: Approximately 20% of the Wisconsin adult population smokes cigarettes. However, the prevalence of smoking is not the same among all population groups. There are also substantial group differences in how many cigarettes people smoke per day. The number of cigarettes smoked is closely tied to the risk of smoking-related illness. The greatest disparities are associated with income and education. People with incomes between 10,000-15,000 dollars per year are more than twice as likely to smoke

E-cigarette use increased between 2014 and 2018 among younger U.S. adults who had never smoked combustible cigarettes, potentially increasing nicotine addiction risk and progression to combustible tobacco products. It is unknown how prevalence changed after the E-cigarette, or vaping, product use-associated lung injury epidemic (late 2019) and COVID-19 pandemic (March 2020) by age group and combustible cigarette smoking status. Data from cross-sectional, nationally representative National Health Interview Surveys in 2019, 2020, and 2021 (analyzed in 2022) were used to estimate current E-cigarette use prevalence, adjusted prevalence difference between survey years, and population counts, by age group (younger, 18–29 years, n =11,700; middle age, 30–44 years, n =21,300, 45–59 years, n =21,308; older, ≥60 years, n =36,224) and cigarette smoking status (current, former, and never). E-cigarette use prevalence increased among younger adults between 2019 and 2021 (8.8%−10.2%, adjusted prevalence difference=1.7% points, 95% CI=0.1, 3.3), primarily owing to an increase among those who never smoked cigarettes (4.9%−6.4%, adjusted prevalence difference=1.7% points, 95% CI=0.3, 3.1). People who never smoked cigarettes constituted 53% (2.68 million) of younger adults who used E-cigarettes in 2021, increasing by 0.71 million from 2019. Conversely, among middle age and older adults, the prevalence was similar in 2019 and 2021 irrespective of cigarette smoking status, and those who formerly smoked cigarettes constituted the largest proportion of people who used E-cigarettes in 2021 (age 30–44 years: 51.8%, 1.8 million; age 45–59 years: 51.6%, 0.85 million; age ≥60 years: 47.5%, 0.45 million). Efforts must address the rise in E-cigarette use among younger adults who never smoked cigarettes. At the same time, assistance is needed to help those who switched to E-cigarettes to stop smoking to transition to non-use of all products. [ABSTRACT FROM AUTHOR]

State‐specific information on lost earnings due to smoking‐attributable cancer deaths to inform and advocate for tobacco control policies is lacking. We estimated person‐years of life lost (PYLL) and lost earnings due to cigarette smoking‐attributable cancer deaths in the United States nationally and by state. Proportions and numbers of cigarette smoking‐attributable cancer deaths and associated PYLL among individuals aged 25 to 79 years in 2019 were calculated and combined with annual median earnings to estimate lost earnings attributable to cigarette smoking. In 2019, estimated total PYLL and lost earnings associated with cigarette smoking‐attributable cancer deaths in ages 25 to 79 years in the United States were 2 188 195 (95% CI, 2 148 707‐2 231 538) PYLL and $20.9 billion ($20.0 billion‐$21.7 billion), respectively. States with the highest overall age‐standardized PYLL and lost earning rates generally were in the South and Midwest. The estimated rate per 100 000 population ranged from 352 (339‐366) in Utah to 1337 (1310‐1367) in West Virginia for PYLL and from $4.3 million ($3.5 million‐$5.2 million) in Idaho to $14.8 million ($10.6 million‐$20.7 million) in Missouri for lost earnings. If age‐specific PYLL and lost earning rates in Utah had been achieved by all states, 58.2% (57.0%‐59.5%) of the estimated total PYLL (1 274 178; 1 242 218‐1 306 685 PYLL) and 50.5% (34.2%‐62.4%) of lost earnings ($10.5 billion; $7.1 billion‐$13.1 billion) in 2019 nationally would have been avoided. Lost earnings due to smoking‐attributable cancer deaths are substantial in the United States and are highest in states with weaker tobacco control policies. [ABSTRACT FROM AUTHOR]

Introduction: It is unknown how U.S. adults' relative harm perceptions of E-cigarettes versus cigarettes and associated behaviors changed during the E-cigarette or vaping product use‒associated lung injury epidemic (late 2019) and COVID-19 pandemic (since early 2020).Methods: Data from cross-sectional nationally representative Health Information National Trends Survey collected in 2018 (n=3,360), 2019 (n=3,217), and 2020 (n=3,677) (analyzed in 2021) were used to estimate changes in relative harm perceptions of E-cigarettes versus cigarettes (less harmful, as harmful, more harmful, don't know as a measure of uncertainty). In addition, changes in exclusive cigarette smoking, exclusive E-cigarette use, and dual use were estimated for each relative harm perception level.Results: Perceptions of E-cigarettes as more harmful than cigarettes doubled year on year, increasing most between 2019 and 2020 (2018: 6.8%, 2019: 12.8%, 2020: 28.3%), whereas uncertainty in relative harm declined (2018: 38.2%, 2019: 34.2%, 2020: 24.7%). Less harmful relative perceptions declined (2018:17.6%, 2019:15.3%, 2020:11.4%), whereas as harmful perceptions remained steady (2018: 37.4%, 2019: 37.7%, 2020: 35.6%). Exclusive cigarette smoking increased between 2019 and 2020 among those who perceived E-cigarettes as relatively more harmful (2018: 18.5%; 2019: 8.4%; 2020: 16.3%), exclusive E-cigarette use increased linearly among those who perceived them as relatively less harmful (7.9%, 15.3%, 26.7%), and dual use increased linearly in those who perceived them relatively as harmful (0.1%, 1.4%, 2.9%).Conclusions: Perceptions of E-cigarettes as more harmful than cigarettes increased sharply between 2019 and 2020. Increases in tobacco product use were potentially guided by product-specific relative harm perceptions because changes occurred primarily in individuals who perceived their preferred product as relatively less harmful, suggesting the need for accurate messaging of relative and absolute product risks. [ABSTRACT FROM AUTHOR]

Introduction: The trends in e-cigarette prevalence and population count of users according to cigarette smoking histories are unknown. These data are needed to inform public health actions against a rapidly changing U.S. e-cigarette market.Methods: Data collected between 2014 and 2018 (analyzed in 2020) from cross-sectional, nationally representative National Health Interview Surveys were used to estimate current e-cigarette prevalence, adjusted prevalence differences (percentage points), and population counts of users. Analyses were stratified by age group (younger, 18-29 years, n=25,445; middle age, 30-49 years, n=47,745; older, ≥50 years, n=79,517) and cigarette smoking histories (current smokers, recent quitters [quit <1 year ago], near-term quitters [quit 1-8 years ago], long-term quitters [quit >8 years ago], never smokers).Results: Among younger adults, e-cigarette use increased in all groups of smokers, with notable increases between 2014 and 2018 among never smokers (1.3%-3.3%, adjusted prevalence difference=2%, p<0.001) and near-term quitters (9.1%-19.2%, adjusted prevalence difference=8.8%, p=0.024). Conversely, the only substantial increase in e-cigarette use between 2014 and 2018 among middle-aged (5.8%-14.4%, adjusted prevalence difference=8.2%, p<0.001) and older (6.3%-9.5%, adjusted prevalence difference=3.3%, p=0.045) adults was among near-term quitters. The largest absolute population increase in e-cigarette users between 2014 and 2018 was among younger-adult never smokers (0.49-1.35 million), followed by near-term quitters among middle-aged (0.36-0.95 million), younger (0.23-0.57 million), and older (0.35-0.50 million) adults.Conclusions: The continuous increase among younger-adult never smokers suggests a rise in primary nicotine initiation with e-cigarettes. The concomitant increase among near-term quitters of all age groups suggests continuing e-cigarette use among smokers who may have switched from cigarettes previously. [ABSTRACT FROM AUTHOR]

The article discusses the prevalence of youth and adult smoking in the U.S. Based on the result of separate surveys, 20% of high school students and 20.5% of adults are smoking. It notes that the increased prevalence of youth smoking is attributed to the tobacco industry's promotional efforts while trends in adult smoking is strongly associated to socioeconomic status. Meanwhile, tobacco control initiatives in the U.S. which include increases in excise taxes and cessation programs are explored.

The United States (U.S.) witnessed considerable reduction in cigarette smoking prevalence in the recent past. While the correlates of smoking prevalence and related disparities among U.S. adults are well documented, there is limited information on how this success was shared among different population sub-groups. Based on data from the National Health Interview Surveys, 2008 and 2018, representative of non-institutionalized U.S. adults (18 years and above), we applied the threefold Kitawaga-Oaxaca-Blinder linear decomposition analysis. We decomposed the trends in cigarette smoking prevalence, smoking initiation, and successful cessation into changes in population characteristics holding smoking propensities constant (compositional change), changes in smoking propensities by population characteristics holding population composition constant (structural change), and the unmeasured macro-level changes affecting smoking behavior in different population sub-groups at differential rates (residual change) to quantify the shares of population sub-groups by sex, age, race/ethnicity, education, marital status, employment status, health insurance coverage, family income, and region of residence in the overall change in smoking rates. The analysis shows that decreases in smoking propensities regardless of the changes in population composition accounted for 66.4% of the reduction in smoking prevalence and 88.7% of the reduction in smoking initiation. The major reductions in smoking propensity were among Medicaid recipients and young adults (ages 18–24 years). The 25-44-year-olds experienced moderate increase in successful smoking cessation, while the overall successful smoking cessation rate remained steady. Taken together, consistent reduction in smoking among U.S. adults by all major population characteristics, accompanied by disproportionately larger reduction in smoking propensities among the population sub-groups with initially higher smoking propensity compared to the national average, characterized the decline in overall cigarette smoking. Strengthening proven tobacco control measures with targeted interventions to reduce smoking propensities among underserved populations is key to continued success in reducing smoking overall and remedying inequities in smoking and population health. • Reducing smoking propensity in all population subgroups is key to smoking reduction. • Medicaid recipients experienced most reduction in smoking propensity. • Young adult Medicaid recipients experienced deceleration in smoking initiation most. • Only the 25-44-year-olds experienced an increase in successful smoking cessation. • Continued success depends on strengthening proven tobacco control measures. [ABSTRACT FROM AUTHOR]