Nondaily Smoking Increases in People With Mental Illness

The current study estimated trends in the prevalence of daily and nondaily cigarette smoking among United States adults with any common mental health or substance use problem (MHSUP), compared to US adults without MHSUP, from 2005 to 2014. Data were drawn from the years 2005 to 2014 from the public use data files for the annually conducted National Survey on Drug Use and Health. Linear time trends of current, daily, and nondaily cigarette smoking among adults (age 18 years and older) with and without MHSUP were assessed using logistic regression models with continuous year as the predictor. In 2014, the prevalence of current cigarette smoking among those with MHSUP was more than twice that of those without MHSUP. Nondaily cigarette smoking increased significantly from 2005 to 2014 among those with MHSUP (P = .001) in contrast to a decline in nondaily cigarette smoking among those without MHSUP (P < .01). The rate of change differed significantly (P < .001). Daily cigarette smoking declined significantly from 2005 to 2014 among those with and without MHSUP (P values < .001). The prevalence of nondaily cigarette smoking is increasing among US adults with common mental health and substance use problems, while it continues to decline among those without these vulnerabilities. The disparity in prevalence of daily cigarette smoking between those with and without MHSUP remains substantial. Conclusions about how to reach the tobacco endgame may need to be reconsidered to develop targeted tobacco control public health approaches that address common MHSUP.

Among whom is cigarette smoking declining in the United States? The impact of cannabis use status, 2002–2015

Specific dimensions of impulsivity are differentially associated with daily and non-daily cigarette smoking in young adults

BackgroundNondaily smoking has been on the rise, especially in Mexico. While Mexico has strengthened its tobacco control policies, their effects on nondaily smokers have gone largely unexamined. We developed a simulation model to estimate the impact of tobacco control policies on daily and nondaily smoking in Mexico.MethodsA previously validated Mexico SimSmoke model that estimated overall trends in smoking prevalence from 2002 through 2013 was extended to 2018 and adapted to distinguish daily and nondaily smoking prevalence. The model was then validated using data from Mexican surveys through 2016. To gauge the potential effects of policies, we compared the trends in smoking under current policies with trends from policies kept at their 2002 levels.ResultsBetween 2002 and 2016, Mexico SimSmoke underestimated the reduction in male and female daily smoking rates. For nondaily smoking, SimSmoke predicted a decline among both males and females, while survey rates showed increasing rates in both genders, primarily among ages 15–44. Of the total reduction in smoking rates predicted by the model by 2018, tax policies account for more than 55%, followed by health warnings, cessation treatment, smoke-free air laws, and tobacco control spending.ConclusionsAlthough Mexico SimSmoke did not successfully explain trends in daily and nondaily smoking, it helps to identify gaps in surveillance and policy evaluation for nondaily smokers. Future research should consider appropriate measures of nondaily smoking prevalence, trajectories between daily and nondaily smoking, and the separate impact of tobacco control policies on each group.

An increasing proportion of US smokers smoke at low intensity and not every day. Some nondaily smokers have always had this pattern, whereas others previously smoked daily. The effect of reducing the level of smoking from daily to nondaily smoking and the dose response at low smoking levels are poorly understood. To evaluate risk of all-cause and cause-specific mortality among nondaily and daily cigarette smokers, by cigarettes per month, years after reducing from daily to nondaily smoking, and years since quitting. A prospective cohort study using harmonized data from multiple cycles of the Tobacco Use Supplements to the Current Population Survey (TUS-CPS), linked to the National Death Index, were analyzed during the period from 2018 to 2020. Adults completed the 1992-1993, 1995-1996, 1998-1999, 2000, 2001-2002, 2003, 2006-2007, or 2010-2011 TUS-CPS. Cigarette smokers were classified as daily or nondaily users; current nondaily smokers were further categorized by whether they previously smoked every day. Hazard ratios (HRs) and 95% CIs for risks of mortality vs never smoking. Age was the underlying time metric, adjusted for sex, race/ethnicity, education, survey year, and household income. Among 505 500 participants (aged 18-103 years), approximately 47 000 deaths occurred. The median number of cigarettes smoked per month was 600 (interquartile range, 300-600) (20 cigarettes per day [interquartile range, 10-20 cigarettes per day]) for daily cigarette smokers and 40 (interquartile range, 15-90) for lifelong nondaily smokers. Nevertheless, both current daily (HR, 2.32; 95% CI, 2.25-2.38) and lifelong nondaily (HR, 1.82; 95% CI, 1.65-2.01) smokers had higher all-cause mortality risks than never smokers. Associations were observed for 6 to 10 cigarettes per month and increased with greater-intensity use. Nondaily smokers who previously smoked every day had lower mortality risks than daily smokers, with similar HRs after 10 or more years of nondaily smoking as lifelong nondaily smokers (HR vs never smokers, 1.73; 95% CI, 1.56-1.92). Yet, their risks were higher than former smokers who quit 10 or more years before (HR vs never smokers, 1.18; 95% CI, 1.15-1.22). Although reducing smoking from daily to nondaily was associated with decreased mortality risk, cessation was associated with far greater benefit. Lifelong nondaily smokers have higher mortality risks than never smokers, even among those smoking 6 to 10 cigarettes per month. Thus, all smokers should quit, regardless of how infrequently they smoke.

Trends in the Prevalence of Current, Daily, and Nondaily Cigarette Smoking and Quit Ratios by Depression Status in the U.S.: 2005–2017

Prevalence of Cigarette Use Among 14 Racial/Ethnic Populations

Understanding tobacco use among nondaily and light daily cigarette smokers is needed because they are dissimilar from other smokers and may require specific prevention efforts. We compared three groups of adult male smokers in rural Egypt: light daily and nondaily smokers versus moderate-to-heavy daily smokers. Data were obtained from a household survey in 2003 in six randomly selected villages in the Nile Delta region of Egypt. There were 7,657 adult participants, of whom 48.6% were male and 51.4% were female. Among them, 1,401 males (37.6%) and 5 females (0.1%) were self-identified as current cigarette smokers; further analysis focused on males. We restricted data analysis to those who reported a stable pattern of 3+ years of smoking. There were 42 nondaily smokers. Daily smokers were subdivided into two groups: light daily smokers (who smoked no more than 10 cigarettes/day; n = 223) and moderate-to-heavy daily smokers (who smoked at least 11 cigarettes/day; n = 769). We found statistically significant differences between these groups on nearly every measure: nondaily smokers tended to be younger and unmarried, but they also had higher levels of education and professional occupations compared with the other smokers. Nondaily and the light daily smokers were more likely than moderate-to-heavy smokers to be planning to quit and to have self-efficacy for quitting, and they were less likely to be smoking in the presence of their wife and children at home. Further understanding of nondaily and light daily smokers may aid in tailoring specific interventions.

To understand changes occurring in nondaily smoking, we assessed differences in demographics and trends in nondaily smoking, by smoking frequency and amount. Participants were 13 966 adult nondaily cigarette smokers (NDS) age 18 years and older responding to the 2000-2012 US National Health Interview Survey, an annual, nationally-representative, cross-sectional, household interview survey. We created a nine-level smoking frequency-amount variable using tertile cut points from the number of days smoked in the past 30 (1-7, 8-14, 15-29 days) and number of cigarettes smoked per day (cpd; 1-2, 3-5, ≥6). We computed weighted frequencies by low-, moderate-, high-frequency use, by low-, moderate-, high-cpd amount, and by demographics. We estimated temporal trends using weighted least squares regression, and the association between groups and past-year quit attempts using logistic regression. Overall prevalence of nondaily smoking among adults remained stable between 2000 to 2012 (P = .62). The most prevalent nondaily smoking frequency-amount groups were: smoking 15-29 days (in the past 30), 3-5 cpd (20.2%); 1-7 days, 1-2 cpd (19.7%); 15-29 days, 1-2 cpd (14.9%); and 15-29 days, ≥6 cpd (12.1%). From 2000 to 2012, low-cpd NDS (1-2 cpd) across moderate (8-14 days) and high (15-29 days) frequency groups increased (P < .01), while moderate frequency-moderate cpd (8-14 days, 3-5 cpd; P < .05) and high frequency-high cpd (15-29 days, ≥6 cpd; P < .01) NDS declined. Adjusting for demographics and year, the lowest frequency-amount groups had the lowest odds of past-year quit attempts. Changes occurred in NDS frequency and amount from 2000 to 2012, suggesting that more granular classifications may be important for monitoring NDS patterns. From 2000 to 2012, low-cpd NDS (1-2 cpd) across moderate- (8-14 days) and high-frequency (15-29 days) groups increased in the United States, while moderate frequency-moderate cpd (8-14 days, 3-5 cpd) and high frequency-high cpd (15-29 days, ≥6 cpd) NDS declined. Demographic differences were found across NDS frequency-amount groups. Adjusting for demographics and year, the lowest frequency-amount groups had the lowest odds of past-year quit attempts. These data can be used to further understand evolving patterns of NDS behavior, and to provide possible targeted groups-both by demographics and smoking frequency/amount-for future research and intervention.

Hookah tobacco use and stressful life events in a sample of young non-daily cigarette smokers

The purpose of this study is to evaluate the prevalence and trends of cigarette smoking among young military conscripts, military officers, and military university students during recently 10 years in Taiwan. Repeated cross-sectional surveys were conducted annually among young military conscripts and military university students from 2006 to 2014. All the young conscripts were reviewed within 1 month at the military training center and before retiring after 1 year of military services. The military officers were included using purposive sampling from 2004 to 2008 and 2013 to 2014 in different military services. Military university students were included in this study. Freshman and senior students were random sampled as the study subjects. Participants completed a structured questionnaire that included questions on general demographics and health-related behaviors. Current smokers is defined as subjects who smoked ≥1 cigarette/day during the past 30 days or had smoked ≥100 cigarettes in their lifetime or still have the habit of smoking during study. We used a χ2 test to examine the difference between the prevalence of cigarette smoking among different groups. The Cochran-Armitage test for trend was applied to examine the change of prevalence of smoking after repeated cross-sectional surveys among populations. The prevalence of cigarette smoking within military training center and after 1-year military services was 48.6% and 48.1% on 2006, which became 39.2% and 38.6% on 2010, and then further declined to 31.0% and 30.1% on 2014. For military officers, the trends of prevalence of smoking among different military services showed slight decline from 2004 to 2008, but decreased significantly between 2013 and 2014. The prevalence of smoking in 2014 was 32.1%, 32.8%, and 32.4% for the Army, Navy, and Air Force, respectively. More interestingly, the prevalence of smoking of freshman and senior students increased during the first 5 years (2007-2011) of survey and then decreased after 2012. Furthermore, in 2014, the prevalence of smoking decreased as the difference became smaller, 4.5% and 6.1% for freshman and senior, respectively. During this 10-year period, the smoking cessation programs include in-class education course, out-door physical training, antismoking clinic, and group therapy. After these military health promoting programs, there are some beneficial effects to decline the prevalence of cigarette smoking for military personnel in Taiwan. However, more active intervention and health promoting programs in prevention and cessation of smoking are needed for the military. The military also have to develop specific approaches and programs to prevent cigarette smoking among conscripts and officers.

Does e-cigarette use predict cigarette escalation? A longitudinal study of young adult non-daily smokers.

This study aimed to calculate the prevalence of pre-pregnancy nondaily smoking (<1 cigarette/day), risk factors, and report of prenatal provider smoking education; and assess the likelihood of prenatal cessation and postpartum relapse for nondaily smokers. We analyzed data from 2009 to 2011 among women with live-born infants participating in the Pregnancy Risk Assessment Monitoring System. We compared characteristics of pre-pregnancy daily smokers (≥1 cigarette/day), nondaily smokers, and nonsmokers (chi-square adjusted p < .025). Between nondaily and daily smokers, we compared proportions of prenatal cessation, postpartum relapse (average 4 months postpartum), and reported provider education. Multivariable logistic regression calculated adjusted prevalence ratios (APR) for prenatal cessation among pre-pregnancy smokers (n = 27 360) and postpartum relapse among quitters (n = 13 577). Nondaily smokers (11% of smokers) were more similar to nonsmokers and differed from daily smokers on characteristics examined (p ≤ .001 for all). Fewer nondaily smokers reported provider education than daily smokers (71.1%, 86.3%; p < .001). A higher proportion of nondaily compared to daily smokers quit during pregnancy (89.7%, 49.0%; p < .001), and a lower proportion relapsed postpartum (22.2%, 48.6%; p < .001). After adjustment, nondaily compared to daily smokers were more likely to quit (APR: 1.65; 95% confidence interval [CI]: 1.58-1.71) and less likely to relapse postpartum (APR: 0.55; 95% CI: 0.48-0.62). Nondaily smokers were more likely to quit smoking during pregnancy, less likely to relapse postpartum, and less likely to report provider education than daily smokers. Providers should educate all women, regardless of frequency of use, about the harms of tobacco during pregnancy, provide effective cessation interventions, and encourage women to be tobacco free postpartum and beyond. Nondaily smoking (<1 cigarette/day) is increasing among US smokers and carries a significant risk of disease. However, smoking patterns surrounding pregnancy among nondaily smokers are unknown. Using 2009-2011 data from the Pregnancy Risk Assessment Monitoring System, we found pre-pregnancy nondaily smokers compared to daily smokers were 65% more likely to quit smoking during pregnancy and almost half as likely to relapse postpartum. Providers should educate all women, regardless of frequency of use, about the harms of tobacco during pregnancy, provide effective cessation interventions, and encourage women to be tobacco free postpartum and beyond.

BackgroundCigarette smoking is incredibly harmful, even for people who do not smoke every day. This study aimed to estimate trends in non-daily smoking in England between 2006 and 2024, how these differed across population subgroups, and to explore changes in the profile of non-daily smokers in terms of their sociodemographic and smoking characteristics and vaping and alcohol consumption.MethodsData were collected monthly between November 2006 and April 2024 as part of a nationally representative, repeat cross-sectional survey of adults (≥ 18 years; n = 353,711). We used logistic regression to estimate associations between survey wave and non-daily smoking and used descriptive statistics to characterise the profile of non-daily smokers across 3-year periods.ResultsThe proportion who smoked non-daily was relatively stable between November 2006 and November 2013, at an average of 10.5% [10.1–10.9%] of cigarette smokers, then increased to 27.2% [26.0–28.4%] of cigarette smokers (4.0% [3.7–4.2%] of adults) by April 2024. This increase was particularly pronounced among younger adults (e.g. reaching 52.8%, 20.4%, and 14.4% of 18-, 45-, and 65-year-old cigarette smokers by April 2024) and those who vape (reaching 34.2% among vapers vs. 23.1% among non-vapers). Over time, there were reductions in non-daily smokers’ mean weekly cigarette consumption (from 34.3 in 2006–2009 to 21.1 in 2021–2024), urges to smoke (e.g. the proportion reporting no urges increased from 29.2 to 38.0%), and motivation to stop smoking (e.g. the proportion highly motivated to quit within the next 3 months decreased from 30.8 to 21.0%).ConclusionsAn increasing proportion of adults in England who smoke cigarettes do not smoke every day, particularly younger adults. Although non-daily smokers report smoking fewer cigarettes and weaker urges to smoke than they used to, which may make it easier for them to stop smoking, they appear to be decreasingly motivated to quit.

Cancer Risk Factors Among Adults with Serious Mental Illness