Transitions in smoking behavior during emerging adulthood: a longitudinal analysis of the effect of home smoking bans

Exploring effects of multi-level factors on transitions of risk-taking behaviors among middle-to-late adolescents

Adolescents experiment with risk behaviors, including delinquency, substance use, and sexual activity. Multi-level social factors, such as having high-risk peers, neighborhood risks, and parental monitoring, influence adolescents' behaviors. We modeled transition patterns in Bahamian adolescents' risk behaviors across three high school years and examined the effects of multi-level factors. We collected data from 2,564 Bahamian adolescents in Grade 10 and follow-ups through Grade 12. We used latent transition model to identify adolescents' risk statuses. Further analyses used multinomial logistic regression to explore the effects of multi-level factors on assignment to those latent statuses and transitions. We identified four distinct statuses: "low risk" (47.9% of the sample at baseline), "alcohol use" (36.8%), "alcohol use and sexual activity" (5.5%), and "high risk" (9.8%). Males were more likely to be in higher-risk statuses at baseline and to transition from a lower-risk status in Grade 10 to a higher-risk status in Grade 11. Social risk factors were significantly associated with higher-risk statuses at baseline. Neighborhood risk and peer risk involvement continued to affect transitions from lower to higher risk; parental monitoring did not have a significant effect in later years. Our findings have important implications for developing targeted and developmentally appropriate interventions to prevent and reduce risk behaviors among middle-to-late adolescents.

The Longitudinal Impact of Arrest, Criminal Conviction, and Incarceration on Smoking Classes

Background

Previous research identifies three to six smoking classes over the life course. This study expands on earlier work about the impact of getting arrested in early adulthood on individuals' smoking classes, by including additional, more serious measures of justice system involvement (JSI), specifically criminal conviction and incarceration. Family processes were examined as secondary outcomes.

Method

Data from seventeen waves (1997-2015) of the National Longitudinal Survey of Youth were analyzed via group-based trajectory modeling (GBTM), multinomial logistic regression, and latent transition analyses (LTA). Smoking behavior through age 36 is examined. Marital status, parenthood, juvenile smoking, juvenile arrest, and prior crime victimization experiences were also included in the models.

Results

Seven smoking classes were revealed: two low- or non-smoking classes; two decreasing classes; and three "problem" smoking (e.g., increasing, or chronic) classes. All JSI types increased the likelihood of being in a smoking class rather than a non-smoking class. Arrest and conviction had larger odds ratios than the most severe form of JSI-incarceration-with respect to respondents' likelihood of being in an increasing or chronic smoking class. Juvenile smoking was the most robust predictor of smoking in adulthood.

Conclusion

Involvement with the justice system in all forms remains a negative health factor that increases smoking. While not typically a goal of criminal justice officials, attention should be paid to this unintended consequence of involvement with the justice system-increased smoking-given smoking's connection to serious illnesses such as cancer. As juvenile smoking is a strong risk factor for adult smoking, smoking prevention and cessation programs should start with youth; and be part of the offerings to individuals ensnared in the justice system at all levels.

Association Between Place of Secondhand Smoke Exposure and Depression Among Nonsmoking Children and Adolescents: A Systematic Review

Secondhand smoke (SHS) exposure patterns of children and adolescents are different from those of adults because children and adolescents spend a majority of their time in the home and school. It was aimed to conduct a systematic review of the published literature regarding the association between depression and the place of SHS exposure among children and adolescents. Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) reporting guidelines, PubMed, ScienceDirect, and Cochrane Library databases were used for the literature review. The studies were screened and selected by two independent reviewers based on the inclusion criteria. All eight studies included in the systematic review measured SHS exposure in participants' own homes. Two studies measured SHS exposure at school and one study in cars. The majority of the studies showed a positive association between depression and SHS exposure in both private and public places among nonsmoking children and adolescents. Also, they concluded a dose-response relationship between SHS exposure and depression. Health practitioners would be encouraged to work with stakeholders to create smoke-free policies in both private and public places to avoid the adverse effects of SHS exposure.

Factors Related to Adolescent Smoking: A Nationally Representative Cross-Sectional Study in Thailand

Objective: This study aimed to explore the individual, familial, and social factors associated with different smoking status in Thai adolescents from the 2017 Cigarette Smoking and Alcohol Drinking Behavior Survey (CSAD) Methods: The nationally representative sample of 6046 adolescents aged 15-19 years who took part in the 2017 CSAD in Thailand. Multinomial logistic regression analysis was conducted to explore the associations between the individual, familial, and social factors and different smoking status.   Results: The daily smoking and occasional smoking was 6.4% and 3.3%, respectively. Gender, alcohol use, substance use, attitudes toward smoking, exposure to secondhand smoke at home, anti-smoking social media campaign, and graphic warning labels were related to both daily and occasional smoking. Daily smoking was associated with exposure to secondhand smoke at school, restaurant, and public transport, and exposure to tobacco advertising. Conclusion: These findings suggest that smoking prevention intervention should particularly focus on these factors and also need to develop the anti-smoking policies for smoking prevention among adolescents.

Household Smoking Restrictions, Time to First Cigarette and Tobacco Dependence

OBJECTIVE

Environmental factors, such as household smoking restrictions (HSR), may impact a range of smoking-related outcomes. The current study examined the effects of various levels of HSR on smoking behaviors, including the number of cigarettes smoked per day and levels of nicotine dependence in a population of adult smokers. (1) Having specific HSR reduces the urges to smoke (path A); (2) having specific HSR reduces CPD (path B); (3) having specific HSR results in lower overall nicotine addiction (path C), and later, TTFC will be associated with (4) lower urges to smoke in the morning (path A'), (5) fewer CPD (path B'), and (6) lower levels of nicotine addiction (path C').

METHOD

Regression models using self-reported data from the Pennsylvania Adult Smoking Study (N = 353) were used. TTFC was measured minutes between waking and the first cigarette of the day. Household smoking restrictions were measured as follows: (1) full ban on smoking in the home, (2) partial ban, or (3) no ban.

RESULTS

Subjects with no household smoking restrictions had lower incomes and education than those with at least some household smoking restrictions; those with full bans smoked less and had an earlier TTFC than those with at least some household smoking restrictions. Smokers with a full ban had a later TTFC, mediated by fewer cigarettes per day and lower cravings. Among those with partial bans, there is no reduction in cigarettes per day and an increase in urges to smoke.

CONCLUSIONS

Partial household smoking restrictions are no better than no household smoking restrictions with regard to cigarettes per day and TTFC, and may cause an increase in urges to smoke in the morning.

Multiple Health Risk Behaviors in Young Adult Smokers: Stages of Change and Stability over Time

BACKGROUND

Health risk behaviors (HRBs) are common, yet not well understood in young adult smokers.

PURPOSE

We examined HRB profiles over 12 months in young adult smokers participating in a Facebook smoking cessation intervention clinical trial.

METHODS

Participants (N = 500; age M = 20.9 years; 54.6% women) were recruited online and randomized to receive either a 3-month Facebook smoking cessation intervention or referral to Smokefree.gov (control). A Health Risk Assessment determined risk for 10 behaviors at baseline and 3, 6, and 12 months. Latent class analysis (LCA) and latent transition analysis (LTA) were used to identify patterns of HRBs and changes over time.

RESULTS

At baseline, participants reported an average of 5.4 (standard deviation [SD] = 1.7) risk behaviors, including smoking (100%), high-fat diet (84.8%), poor sleep hygiene (71.6%), and low fruit and vegetable intake (69.4%). A 3-class model fit the data best at baseline and all follow-up time points: low risk (28.8% at baseline) with low likelihood of risk on all behaviors except smoking, substance use risk (14.0% at baseline) characterized by heavy episodic drinking, cannabis use, and other illicit drug use, and metabolic risk (57.2% at baseline), with a high percentage of members at risk for a low fruit and vegetable intake, high-fat diet, inactivity, stress, and poor sleep hygiene. Classes were very stable at 3, 6, and 12 months, with few participants transitioning between classes.

CONCLUSIONS

Most young adult smokers engaged in multiple risk behaviors, with meaningful clustering of behaviors, and demonstrated stability over a year's time. In addition to smoking, targets for intervention are co-occurring substance use and metabolic risk behaviors.

CLINICAL TRIALS REGISTRATION

NCT02207036.

Latent Trajectories and Profiles of Commercial Cigarette Smoking Frequency From Adolescence to Young Adulthood Among North American Indigenous People

INTRODUCTION

North American Indigenous people (ie, American Indian/Alaska Native and Canadian First Nations) have the highest rates of commercial cigarette smoking, yet little is known about long-term trajectories of use among this population. The purpose of this study is to examine heterogeneous trajectories and profiles of Indigenous cigarette use frequency from early adolescence (mean age: 11.1 years) to young adulthood (mean age: 26.3 years).

AIMS AND METHODS

Data come from a nine-wave prospective longitudinal study spanning early adolescence through young adulthood among Indigenous people in the Upper Midwest of the United States and Canada (N = 706). Smoking frequency was examined at each wave, and latent class growth analysis was used to examine heterogeneous patterns. Early adolescent and young adult demographics and smoking-related characteristics were examined across these latent trajectory groups.

RESULTS

In young adulthood, 52% of participants smoked daily/near-daily, and an additional 10% smoked weekly or monthly. Four latent trajectory groups emerged: low/non-smokers (35.2%) who had low probabilities of smoking across the study; occasional smokers (17.2%) who had moderate probabilities of smoking throughout adolescence and declining probabilities of smoking into young adulthood; mid-adolescent onset smokers (21.6%) who showed patterns of smoking onset around mid-adolescence and escalated to daily use in young adulthood; and early-adolescent onset smokers (25.9%) who showed patterns of onset in early adolescence and escalated to stable daily use by late adolescence.

CONCLUSIONS

The findings suggest multiple critical periods of smoking risk, as well as a general profile of diverse smoking frequency patterns, which can inform targeted intervention and treatment programming.

IMPLICATIONS

Nearly two-thirds (62%) of this sample of Indigenous people were current smokers by early adulthood (mean age = 26.3 years), which is substantially higher than national rates in the United States and Canada. Moreover, in all but one trajectory group, smoking prevalence consistently increased over time, suggesting these rates may continue to rise into adulthood. The longitudinal mixture modeling approach used in this study shows that smoking patterns are heterogeneous, and implications for public health policy likely vary across these diverse patterns characterized by timing of onset of use, escalation in frequency of use, and stability/change over time.

Application of the Health Belief Model on the intention to stop smoking behavior among young adult women

Background: The smoking behavior among young adult women causes health issues and has effects on ethical norms, especially femininity and gender. A woman smoker usually has an intention to quit and several factors have been perceived to be related to this action according to the Health Belief Model (HBM).

Design and Methods: This study was conducted cross-sectionally to analyze the correlation between young adult women’s intention to stop smoking with perceived factors in the construction of HBM. A sample of 58 young adult women smokers and aged between 15-30 years were selected through the use of a purposive sampling technique in 2018.

Results: The results showed the intention to stop smoking has a significant correlation with perceived susceptibility (P=0.036), perceived severity (P=0.028), perceived benefits (P=0.011), perceived barriers (P=0.003), and perceived self-efficacy (P=0.005). This means there was a significant correlation between the intention of young adult smokers to quit smoking and the perceived factors of HBM.

Conclusions: The intention of stop smoking behavior among women smokers has a significant correlation with the perceived factors of the Health Belief Model construct, which includes perceived susceptibility, perceived severity, perceived benefits, perceived barriers, and perceived self-efficacy.

Examining Arrest and Cigarette Smoking in Emerging Adulthood

Background:

Despite prior studies, transitions in smoking patterns are not fully understood. Getting arrested may alter an individual’s smoking pattern through processes proscribed by the criminological labeling theory. This study examined how arrest during emerging adulthood altered smoking behavior during subsequent years and whether there were differential effects by race/ethnicity and gender.

Methods:

We analyzed 15 waves of data from the National Longitudinal Survey of Youth 1997. Multinomial logistic regressions were performed using Stata software version 14.

Results:

For both genders, arrested black men and women had the most distinct smoking transitions (both increases and decreases) as compared with their non-arrested counterparts. Among men, particularly black males, arrest in early adulthood was associated with the men transitioning to both increased and decreased smoking. Patterns in smoking transitions for women were less clear, suggesting that women’s smoking may be influenced by factors not in the models. Women had a low probability of starting to smoke or increasing smoking if they were never arrested between 18 and 21 years of age.

Conclusions:

The results for transitioning into increased smoking offer some support for labeling theory processes. Other findings suggest that arrest may lead to some men reducing or quitting smoking. Early adulthood arrest may serve to “shock the system” and contribute to males altering their prior smoking behavior.

Implications:

Tobacco use over the life course, particularly across different racial and ethnic groups, remains understudied. This study contributes to the literature using a nationally representative sample to examine the effect of getting arrested in emerging adulthood on cigarette use during subsequent years. In conducting the study, investigators combined theories and methodological approaches from 2 complementary disciplines: public health and criminal justice. Because criminal justice policymakers tend to focus on issues like ex-offender unemployment, public health officials can provide guidance regarding the effect of justice system involvement on smoking, particularly given the adverse health outcomes of using cigarettes.

Progression to established patterns of cigarette smoking among young adults

BACKGROUND

As tobacco control policies have been implemented across the U.S. over the past decade, patterns of smoking cigarettes have significantly changed, particularly among young adults. For many users, the typical daily use pattern of smoking several packs of cigarettes per day has been supplanted by a variety of use patterns, often referred to as light, intermittent, and occasional smoking.

METHODS

The aim of this study was to examine progression to established smoking patterns among a nationally representative, longitudinal sample of young adults (n=9791). Using repeated measures latent class techniques (RMLCA), we modeled the distribution of cigarette smoking intensity over time and latent class categories.

RESULTS

Findings demonstrate that young adults fall into three discrete classes that reflect probabilities for never to low use, daily use, and variable cigarette use for progression to established use of cigarettes: 79.3% fall into the class of "never or ever users" of cigarettes (no current use of cigarettes), 11.3% fall into the class of "rapid escalators" or daily users of cigarettes, and 9.4% fall into the "dabbler" class. Smoking patterns were found to be stable by the age of 21.

CONCLUSIONS

Intervening prior to age 21 has the potential to disrupt progression to established smoking and reduce the long-term health consequences of smoking in this age group.

Changes in cigarette smoking initiation, cessation, and relapse among U.S. adults: a comparison of two longitudinal samples

BACKGROUND

The tobacco epidemic in the U.S. has matured in the past decade. However, due to rapidly changing social policy and commercial environments, tailored prevention and interventions are needed to support further reduction in smoking.

METHODS

Using Tobacco Use Supplement to the Current Population Survey (TUS-CPS) 2002-2003 and 2010-2011 longitudinal cohorts, five smoking states are defined including daily-heavy, daily-light, non-daily, former and non-smoker. We quantified the changes between smoking states for the two longitudinal cohorts, and used a series of multivariable logistic regression models to examine the association of socio-demographic attributes and initial smoking states on smoking initiation, cessation, and relapse between waves within each cohort.

RESULTS

The prevalence of adult heavy smoking decreased from 9.9% (95% CI: 9.6%, 10.2%) in 2002 to 7.1% (95% CI: 6.9%, 7.4%) in 2010. Non-daily smokers were less likely to quit in the 2010-2011 cohort than the 2002-2003 cohort (37.0% vs. 44.9%). Gender, age group, smoker type, race and marital status exhibit similar patterns in terms of their association to the odds of initiation, cessation and relapse between the two cohorts, while education groups showed some inconsistent results between the two cohorts regarding the odds of cessation.

CONCLUSIONS

Transitions between smoking states are complex and increasingly unstable, requiring a holistic, population-based perspective to understand the stocks and flows that ultimately dictate the public health impact of cigarette smoking behavior. This knowledge helps to identify groups in need of increased tobacco control prevention and intervention efforts.

Longitudinal transition trajectory of gouty arthritis and its comorbidities: a population-based study

The aim of the study was to investigate the longitudinal transition trajectory of gout and its comorbidities in male patients with gout in different age groups. A total of 3973 male patients who received a new diagnosis of gouty arthritis were identified from the Taiwan Longitudinal Health Insurance Database and divided into two age cohorts (<50 and ≥50 years). Each patient was individually followed from 2000 to 2009 to identify associated comorbidities, namely hypertension, hypercholesterolemia, diabetes mellitus, cardiovascular diseases, and chronic kidney disease. Two outcome measurements of stroke and all-cause cancer were further identified until 2010. The transition trajectory was divided into the following five phenotype groups: persistent hypertension combined with a high prevalence of various gout-related comorbidities, persistent hypercholesterolemia combined with a moderate prevalence of various gout-related comorbidities, persistent low prevalence of various gout-related comorbidities, moderate to high prevalence of various gout-related comorbidities, and low to high prevalence of various gout-related comorbidities. Although the younger and older patients had a similar longitudinal transition trajectory of gout-related comorbidities, the older patients had a higher 10-year likelihood of transition from a low or moderate to a high prevalence of various gout-related comorbidities. In addition, the incidences of stroke and all-cause cancer were higher in the groups with high and moderate to high prevalences of various gout-related comorbidities than in the other groups. The occurrence of gouty arthritis in different life stages can cause cluster effects involving varying degrees of comorbidities over time. The findings of the current study can provide additional knowledge and increase clinical awareness regarding the early assessment and management of gout-related comorbidities in clinical practice.

Cardiovascular Consequences of Childhood Secondhand Tobacco Smoke Exposure: Prevailing Evidence, Burden, and Racial and Socioeconomic Disparities: A Scientific Statement From the American Heart Association

BACKGROUND

Although public health programs have led to a substantial decrease in the prevalence of tobacco smoking, the adverse health effects of tobacco smoke exposure are by no means a thing of the past. In the United States, 4 of 10 school-aged children and 1 of 3 adolescents are involuntarily exposed to secondhand tobacco smoke (SHS), with children of minority ethnic backgrounds and those living in low-socioeconomic-status households being disproportionately affected (68% and 43%, respectively). Children are particularly vulnerable, with little control over home and social environment, and lack the understanding, agency, and ability to avoid SHS exposure on their own volition; they also have physiological or behavioral characteristics that render them especially susceptible to effects of SHS. Side-stream smoke (the smoke emanating from the burning end of the cigarette), a major component of SHS, contains a higher concentration of some toxins than mainstream smoke (inhaled by the smoker directly), making SHS potentially as dangerous as or even more dangerous than direct smoking. Compelling animal and human evidence shows that SHS exposure during childhood is detrimental to arterial function and structure, resulting in premature atherosclerosis and its cardiovascular consequences. Childhood SHS exposure is also related to impaired cardiac autonomic function and changes in heart rate variability. In addition, childhood SHS exposure is associated with clustering of cardiometabolic risk factors such as obesity, dyslipidemia, and insulin resistance. Individualized interventions to reduce childhood exposure to SHS are shown to be at least modestly effective, as are broader-based policy initiatives such as community smoking bans and increased taxation.

PURPOSE

The purpose of this statement is to summarize the available evidence on the cardiovascular health consequences of childhood SHS exposure; this will support ongoing efforts to further reduce and eliminate SHS exposure in this vulnerable population. This statement reviews relevant data from epidemiological studies, laboratory-based experiments, and controlled behavioral trials concerning SHS and cardiovascular disease risk in children. Information on the effects of SHS exposure on the cardiovascular system in animal and pediatric studies, including vascular disruption and platelet activation, oxidation and inflammation, endothelial dysfunction, increased vascular stiffness, changes in vascular structure, and autonomic dysfunction, is examined.

CONCLUSIONS

The epidemiological, observational, and experimental evidence accumulated to date demonstrates the detrimental cardiovascular consequences of SHS exposure in children.

IMPLICATIONS

Increased awareness of the adverse, lifetime cardiovascular consequences of childhood SHS may facilitate the development of innovative individual, family-centered, and community health interventions to reduce and ideally eliminate SHS exposure in the vulnerable pediatric population. This evidence calls for a robust public health policy that embraces zero tolerance of childhood SHS exposure.

Correlations of indoor second-hand smoking, household smoking rules, regional deprivation and children mental health: Scottish Health Survey, 2013

It has been known that second-hand smoking and deprivation could cluster together affecting child health. However, little is known on the role of household smoking rules. Therefore, it was aimed to study the relationships among indoor second-hand smoking, household smoking rules, deprivation level and children mental health in a country-wide and population-based setting. Data was retrieved from and analysed in Scottish Health Survey, 2013. Information on demographics, indoor second-hand smoking status, household smoking rules, deprivation level and child mental health by Strengths and Difficulties Questionnaire was obtained by household interview through parents. Statistical analysis included chi-square test and survey-weighted logistic regression modelling. Of 1019 children aged 4-12, 17.9% (n = 182) lived in the 15% most deprivation areas. Deprived areas tended to be where indoor smoking occurred (p < 0.001). The top three sub-regions of the 15% most deprivation for Scottish children are greater Glasgow, Ayrshire & Arran and Forth Valley while the top three sub-regions of exposure to the indoor second-hand smoking are Fife, Forth Valley and Ayrshire & Arran. The top three sub-regions with indoor smoking allowed are greater Glasgow, Western Isles and Borders. Children emotional and behavioural problems were reduced when the strict household smoking rules (not allowed or outdoor areas) applied. One in six Scottish children lived in the 15% most deprivation areas and exposed to indoor second-hand smoking that could have led to emotional and behavioural problems. Public health programs promoting strict household smoking rules should be encouraged in order to optimise children mental health.

Finding myself: a theory on the maturation of spirituality and its influence on behavior during late adolescence

This study employed a grounded theory research design to develop a theoretical model focused on the maturation of spirituality and its influence on behavior during late adolescence. Quantitative research studies have linked spirituality with decreased health-risk behaviors and increased health-promotion behaviors during late adolescence. Qualitative, theoretical data is proposed to discover the underlying reasons this relationship exists and increase the ability to apply this knowledge to practice. Twenty-one adolescents, age 16-21 years, were e-mail interviewed and transcripts analyzed using a conceptual lens of Blumer's symbolic interactionism. From this analysis, a theoretical model emerged with the core concept, finding myself that represents 5 core process concepts. Implications of this study illustrate that late adolescents are aware of their personal spiritual maturation as well as its influence on behavior. In addition, a distinction between the generic concept of spirituality, personal spirituality, and religion emerged.