Age at the onset of tobacco smoking in South Africa: a discrete-time survival analysis of the prognostic factors

Background

While knowledge of onset of smoking tobacco, and associated risk factors can aid the formulation of evidence-based policy and interventions, such information is scarce in South Africa. We assessed age at onset of tobacco smoking in South Africa and identified its risk factors.

Methods

We analysed data of 15,316 respondents aged 15–98 years from the 2012 South African National Health and Nutrition Examination Survey. Descriptive statistics and survival analysis techniques were used alongside weighted percentages.

Results

Overall lifetime prevalence of smoking was 20.5%. Among the 3360 ever-smoked respondents, the overall median age at smoking onset was 18 years (Inter-quartile range (IQR) =5) with 2% starting before age 10 while 60% had smoked before age 20. Likelihood of tobacco smoking was higher among adolescents (<=20 years) and those aged 20–29 years than those aged > = 60 years, thrice higher among males, 29% higher among urban dwellers and thrice higher in Western Cape and Free State than in North West Province. The onset of tobacco smoking was earlier among males, wealthier and “coloured” people from Northern and Eastern Capes.

Conclusion

The onset of tobacco smoking peaked at 15–22 years and varied by province, sex, location, race and other characteristics. The age restrictions on smoking in South Africa has changed over time, coupled with the recent open and electronic advertisement of tobacco, and social media could have influenced the earlier onset of tobacco smoking in South Africa. Stricter regulations on tobacco-related advertisement and sales should be implemented.

Increasing similarities between young adults' smoking and snus use in Norway: a study of the trends and stages of smoking and snus epidemic from 2010 to 2018

Background

The prevalence of smoking has been decreasing in Norway for decades. In contrast, the prevalence of snus use has recently increased substantially, especially among females. While there is a clear social gradient in smoking, with a higher smoking prevalence among individuals with low socioeconomic status (SES), a possible social gradient in snus use has been less studied. The aim of the current study was to investigate the trends of smoking and snus use and to examine whether ongoing changes in snus use are similar to prior smoking epidemic development.

Methods

The study was based on the 2010 (n = 5836), 2014 (n = 13,319) and 2018 (n = 24,515) waves from a nation-wide, cross-sectional, health survey of higher education in Norway (the SHoT study). Variables on smoking, snus use, gender, age and SES were used. Chi-square tests and logistic regression analyses were used to test significance, and Mantel–Haenszel weights were used to test the trends in stratified cross-tabulations.

Results

Daily smoking decreased from 5.9 to 1.5% between 2010 and 2018, while daily snus use increased from 13.4 to 19.9%. Female snus use almost doubled, from 10.9 to 19.2%. Low SES was associated with both daily smoking and snus use across all three waves. Occasional smoking was also associated with low SES at all waves, but occasional snus use was only associated with low SES in 2010. There were no significant changes over time in either the association between occasional or daily smoking and SES or the association between occasional or daily snus use and SES.

Conclusions

The overall smoking decrease indicated that the Norwegian smoking epidemic is in its latest stage. Steady male snus use, doubled female snus use and a clear social gradient in snus use all indicate that the snus epidemic in Norway has progressed. If this trend continues, a main implication is that snus prevalence will soon peak, first in males and then in females.

Evidence From Qualitative Studies of Youth About the Impacts of Tobacco Control Policy on Young People in Europe: A Systematic Review

INTRODUCTION

A range of tobacco control policies endeavor to prevent smoking uptake in young people, yet relatively little is known about how such interventions impact young people's engagement with smoking. We reviewed existing qualitative evidence on young people and smoking in Europe to assess whether, in what ways and why young people comply with, adapt to, resist, or circumvent tobacco control policies in their respective countries.

METHODS

We undertook a systematic review of academic literature presenting qualitative research from Europe on smoking and young people (11-18 years), published from 2000 to 2015. Bibliographic searches (PubMed, PsycInfo, SSCI) produced 1357 records, from which 43 relevant articles were assessed for quality and 39 included in the review.

RESULTS

Most studies were from the United Kingdom (27), with a small number (one or two each) from other European countries (Denmark, Sweden, Switzerland, Belgium, Cyprus, Greece, Hungary, Ireland, and Spain). Only 16 articles (11 from United Kingdom) provided any evidence about the impacts of tobacco control policies on young people's smoking. These focused on smoke-free legislation (four), age of sale laws (four), plain packaging (three), and black market tobacco (one).

CONCLUSIONS

There is very little qualitative evidence exploring the impacts of tobacco control on youth smoking in Europe. To develop more effective smoking prevention policies that take account of local political, social, and cultural contexts, more qualitative research from a wider range of European countries is needed to understand how tobacco control impacts on young people's social worlds and smoking behaviors.

IMPLICATIONS

Smoking is the leading cause of premature mortality in Europe. However, there is little qualitative evidence exploring the impact of tobacco control policies on young people in Europe. Most comes from the United Kingdom and focuses on a narrow range of policies. Thus, we have a limited understanding of how and in what ways tobacco control policies reach young people, their engagement with these, and how local context affects their impact. More qualitative research is needed, from a wider range of countries and on a broader range of tobacco control policies, to strengthen the evidence-base for reducing youth smoking.

Patterns in first and daily cigarette initiation among youth and young adults from 2002 to 2015

This study’s objective was to describe long-term trends and patterns in first cigarette use (cigarette initiation) and daily cigarette use (daily initiation) among youth and young adults in the U.S. We used cross-sectional survey data from the National Survey on Drug Use and Health, 2002–2015, to estimate annual incidence of first cigarette use (N = 270,556) and first daily cigarette use (N = 373,464) for each year by age groups, race/ethnicity and gender, examining trends over time and the average annual change in initiation for each group. Several clear patterns emerged: 1) cigarette initiation and daily initiation significantly decreased over time among those aged 12–14 and 15–17 and these trends were consistent among nearly all racial/ethnic and gender subgroups; 2) among 18–21 year olds, cigarette initiation sharply increased through 2009, surpassing rates among 15–17 year olds, and sharply declined through 2015 while remaining higher than rates among the younger group, and this trend was consistent for almost all racial/ethnic subgroups; 3) daily initiation for those aged 18–21 significantly declined, and this was significant among most subgroups 4) there was no change in cigarette initiation and daily initiation for 22–25 year olds overall and most subgroups; 5) there was a significant increase in cigarette initiation for 22–25 year old Hispanics males and daily initiation for 22–25 year old males. This study provides a comprehensive look at trends in cigarette and daily initiation among U.S. youth and young adults. Despite notable declines in smoking initiation among youth and young adult populations over the last two decades, targeted prevention and policy efforts are needed for subgroups at higher risk, including young adults and Hispanic males.

Trends in smoking initiation in Canada: Does non-inclusion of young adults in tobacco control strategies represent a missed opportunity?

OBJECTIVES

Young adults face high prevalence rates for smoking. Recent evidence suggests that many people initiate smoking during young adulthood, but little is currently known about trends in initiation rates for this age group.

METHODS

We examined rates of initiation to first cigarette (FC) and daily smoking (DS) during youth (5-17 years) and young adulthood (18-25 years) using nationally representative data from the 2001, 2003, 2005, 2007, 2009, 2011 and 2013 cycles of the Canadian Community Health Survey. We included all participants aged 25-26 to obtain seven mutually exclusive retrospective cohorts (n = 16 216). We used logistic regression to examine four correlates of smoking - sex, education, poverty status, and immigration status - and whether these factors modify time trends in smoking.

RESULTS

We found that initiation rates decreased during youth (p &lt; 0.001 for FC, p = 0.02 for DS) but not during young adulthood (p = 0.94 for FC, p = 0.28 for DS). We found that men and respondents with fewer educational credentials had relatively higher odds of initiating during young adulthood. Trends in young adulthood stayed constant across subgroups. Trends in youth were modified by education: participants who did not complete high school had no decrease in initiation to FC and DS while those with post-secondary education experienced a decrease in both outcomes.

CONCLUSION

Tobacco control has failed to address smoking initiation during young adulthood. Given the considerable amount of initiation that occurs during this period, practitioners and policy-makers should direct more of their planning toward young adults.

Beyond Smoking Prevalence: Exploring the Variability of Associations between Neighborhood Exposures across Two Nested Spatial Units and Two-Year Smoking Trajectory among Young Adults

Young adults have the highest prevalence of smoking amongst all age groups. Significant uptake occurs after high school age. Although neighborhood exposures have been found to be associated with smoking behavior, research on neighborhood exposures and the smoking trajectories among young adults, and on the role of geographic scale in shaping findings, is scarce. We examined associations between neighborhood exposures across two nested, increasingly large spatial units and smoking trajectory over two years among young adults living in Montreal, Canada. A sample of 2093 participants aged 18-25 years from the Interdisciplinary Study of Inequalities in Smoking (ISIS) was surveyed. The dependent variable was self-reported smoking trajectory over the course of two years. Residential addresses, data on presence of tobacco retail outlets, and the presence of smoking accommodation facilities were coded and linked to spatial units. Three-level multinomial models were used to examine associations. The likelihood of being a smoker for 2+ years was significantly greater among those living in larger spatial unit neighborhoods that had a greater presence of smoking accommodation. This association was not statistically significant at the smaller spatial units. Our findings highlight the importance of studying young adults' smoking trajectories in addition to static smoking outcomes, and point to the relevance of considering spatial scale in studies of neighborhoods and smoking.

Trends and timing of cigarette smoking uptake among US young adults: survival analysis using annual national cohorts from 1976 to 2005

AIMS

To measure changes over time in cigarette smoking uptake prevalence and timing during young adulthood (ages 19-26 years), and associations between time-invariant/-varying characteristics and uptake prevalence/timing.

DESIGN

Discrete-time survival modeling of data collected from United States high school seniors (modal age 17/18) enrolled in successive graduating classes from 1976 to 2005 and participating in four follow-up surveys (to modal age 25/26).

SETTING

The longitudinal component of the Monitoring the Future study.

PARTICIPANTS

A total of 10 758 individuals reporting no life-time smoking when first surveyed as high school seniors.

MEASUREMENTS

Smoking uptake (any, experimental, occasional and regular); socio-demographic variables; marital, college and work status; time spent socializing.

FINDINGS

The percentage of young adults moving from non-smoker to experimental smoking [slope estimate 0.11, standard error (SE) = 0.04, P = 0.005] or occasional smoking (slope estimate 0.17, SE = 0.03, P < 0.001) increased significantly across graduating classes; the percentage moving from non-smoker to regular smoker remained stable. All forms of smoking uptake were most likely to occur at age 19/20, but uptake prevalence at older ages increased over time [e.g. cohort year predicting occasional uptake at modal age 25/26 adjusted hazard odds ratio (AHOR) = 1.05, P = 0.002]. Time-invariant/-varying characteristics had unique associations with the timing of various forms of smoking uptake (e.g. at modal age 21/22, currently attending college increased occasional uptake risk (AHOR = 2.11, P < 0.001) but decreased regular uptake risk (AHOR = 0.69, P = 0.026).

CONCLUSIONS

Young adult occasional and experimental smoking uptake increased in the United States for non-smoking high school seniors graduating from 1976 to 2005. Smoking uptake for these cohorts remained most likely to occur at age 19/20, but prevalence of uptake at older ages increased.

Unemployment and substance use in young adults: does educational attainment modify the association?

We studied whether patterns of substance use in relation to unemployment vary depending on educational level. Data come from 1,126 community-based young adults in France (18-35 years of age in 2011) and their parents (TEMPO and GAZEL studies). Tobacco use (≥1 cigarette/day, 22.5% prevalence), nicotine dependence (Fagerström test ≥2, 7.1% prevalence), alcohol use (≥2 units/week, 25.3% prevalence), alcohol abuse (WHO AUDIT ≥7 in women and ≥8 in men, 10.8% prevalence), cannabis use (≥1 time, 16.5% prevalence), and cannabis abuse (CAST ≥2, 5.0% prevalence) were assessed by interview. We conducted logistic regression analyses controlled for inverse probability weights of unemployment, calculated based on demographics, negative life events, health, and juvenile and parental characteristics. Compared to participants who were always employed, those who were unemployed and had no higher education were more likely to smoke tobacco (OR: 2.76, 95% CI: 1.86-4.10), to be nicotine dependent (OR: 5.70, 95% CI: 3.03-10.73), to use cannabis (OR: 2.27, 95% CI: 1.42-3.64), and to abuse cannabis (OR: 3.38, 95% CI: 1.63-7.04). Those who were unemployed and had higher education were especially likely to abuse alcohol (OR: 1.89, 95% CI: 1.16-3.09). Increases in unemployment may impact population levels of substance use, particularly in young adults with low educational attainment.

Disadvantaged youth and smoking in mature tobacco control contexts: a systematic review and synthesis of qualitative research

OBJECTIVE

To review qualitative research and synthesise findings about socioeconomically disadvantaged and socially marginalised adolescents and young adults in mature tobacco control contexts.

DATA SOURCES

Searches of PubMed and MEDLINE, additional purposive searches in Google Scholar, PsycINFO, grey literature, specialist journals and reference lists for English language articles published after 2000. Search terms were qualitative, youth or adolescent or young adult, smoking/tobacco and vulnerable populations or disadvantage or socioeconomic inequality. The most recent update of the search was undertaken in January 2014.

STUDY SELECTION

Twenty articles, reporting on 17 studies, from 902 initial records were included. Inclusion criteria were: qualitative study undertaken in a country in the final stage of the tobacco epidemic and with comprehensive tobacco control measures in place, participants were youth who were socioeconomically disadvantaged or members of an identified subgroup with higher smoking prevalence and/or resided in a geographical area of low socioeconomic status. The target age range was 10-24.

DATA EXTRACTION

Data were independently extracted by one author, summarised and reviewed, compared and re-reviewed at multiple time points.

DATA SYNTHESIS

The majority of studies were from the UK, with the remainder from the USA, Australia and New Zealand. The review used a thematic analysis approach, and started with an open question: 'what does qualitative research tell us about disadvantaged young people and smoking?' The synthesis provides insights into the social context of smoking for marginalised and disadvantaged young people, group affiliation and identity, the role of smoking in social capital and sources of cigarettes.

CONCLUSIONS

Surprisingly few qualitative studies focused exclusively on smoking and disadvantaged young people were found. Future qualitative studies on the intersection between specific psychosocial characteristics associated with disadvantage and increased smoking risk would be of use to inform approaches to reduce socioeconomic differentials in smoking prevalence.

The association between smoking and depression from adolescence to adulthood

BACKGROUND AND AIMS

The association between depression and smoking is firmly established, but how the association develops remains unclear. The aim of this study was to examine development of the smoking-depression association from early adolescence to adulthood.

DESIGN

Cross-sectional and longitudinal analyses of the smoking-depression association from adolescence to adulthood.

SETTING

Hordaland, Norway.

PARTICIPANTS

A cohort of adolescents (initially, 924 pupils) in the Norwegian Longitudinal Health Behaviour Study (NLHB) was followed over nine data collection waves from ages 13 to 30 years.

MEASUREMENTS

Daily smoking and depressed mood were measured in each wave.

FINDINGS

In the cross-sectional analyses, daily smoking and depression were significantly associated (P-value range from P < 0.01 to 0.04) in eight of nine waves. In the final longitudinal model, after controlling for the time-invariant effects of smoking and depression and of tertiary factors, the only significant paths were early adolescent smoking prediction of early adolescent depression (waves 1-2: β = 0.07, P < 0.05; waves 2-3: β = 0.12, P < 0.05) and vice versa (waves 1-2: β = 0.10, P < 0.05; waves 2-3: β = 0.08, P < 0.05).

CONCLUSIONS

The inter-relationship between depression and smoking seems to be due to the reciprocal causal effects between smoking and depression that are established in early adolescence and maintained into adulthood.

Incidence and determinants of cigarette smoking initiation in young adults

PURPOSE

To describe the incidence and identify predictors of smoking initiation in young adults.

METHODS

Data were collected in self-report questionnaires in 22 cycles over 13 years in a prospective cohort investigation of 1,293 students recruited in 1999-2000 from all grade 7 classes in a convenience sample of 10 high schools in Montreal, Canada. Participants were 12.7 years of age on average at cohort inception and 24.0 years of age in cycle 22. Independent predictors of smoking initiation in young adulthood (post-high school) were identified in multivariable logistic regression analysis using generalized estimating equations.

RESULTS

Of 1,293 participants, 75% initiated smoking by cycle 22. Of these, 44%, 43%, and 14% initiated before high school, during high school, and in the 6 years after high school, respectively. The incidence density rate of initiation was .33, .13, .14, .11, and .12 initiation events per person-year in grade 7, 8, 9, 10, and 11, respectively, and .05 post-high school. Independent predictors of smoking initiation in young adults included alcohol use, higher impulsivity, and poor academic performance.

CONCLUSIONS

A total of 14% of smokers who initiated smoking before age 24 years did so after high school. The predictors of initiation in young adults may provide direction for relevant preventive interventions.

Effect of smoke-free legislation on smoking cessation rates in teachers in Manisa, Turkey

OBJECTIVE

This study investigated the attitudes of Turkish adults towards the ban on smoking in public areas and compared annual smoking cessation rates before (pre-2009) and after (post-2009) the ban became law, using data from a survey of teachers.

METHODS

A self-reported questionnaire was used to collect data from teachers in Manisa, Turkey. Annual smoking rates were calculated. Joinpoint regression analysis was used to identify when a significant change occurred in the annual smoking cessation rate.

RESULTS

Questionnaire response rate was 79.6% (579/727); 47.8% (277) of respondents were male. Smoking prevalence among men and women was 32.7% and 24.7%, respectively, and 97.3% of nonsmokers and 75.5% of current everyday smokers supported the law changes. Results of the Joinpoint analysis showed no significant change in annual smoking cessation rate between 2001-2002 and 2006-2007; but there were significant reductions in smoking rates between 2007-2008 and 2010-2011.

CONCLUSIONS

Teachers in Turkey have a positive attitude to the law on smoking. The smoking cessation rate in teachers was significantly increased by changes in legislation.

Smokers' increased risk for disability pension: social confounding or health-mediated effects? Gender-specific analyses of the Hordaland Health Study cohort

BACKGROUND

Studies indicate that cigarette smokers have an increased risk for disability pension, presumably mediated by adverse health effects. However, smoking is also related to socioeconomic status. The current study examined the association between smoking and subsequent disability pension, and whether the association is explained by social confounding and/or health-related mediation.

METHODS

A subsample of 7934 men and 8488 women, aged 40-46, from the Hordaland Health Study, Norway (1997-1999), provided baseline information on smoking status, self-reported health measures and socioeconomic status. Outcome was register-based disability pension from 12 months after baseline to end of 2004. Gender stratified Cox regression analyses were used adjusted for socioeconomic status, physical activity, self-reported health and musculoskeletal pain sites.

RESULTS

A total of 155 (2%) men and 333 (3.9%) women were granted disability pension during follow-up. The unadjusted disability risk associated with heavy smoking versus non-smoking was 1.88 (95% CI 1.23 to 2.89) among men and 3.06 (95% CI 2.23 to 4.20) among women. In multivariate analyses, adjusting for socioeconomic status, HRs were 1.33 (95% CI 0.84 to 2.11) among men and 2.22 (95% CI 1.58 to 3.13) among women. Final adjustment for physical activity, self-reported health and musculoskeletal pain further reduced the effect of heavy smoking in women (HR=1.53, 95% CI 1.09 to 2.16).

CONCLUSIONS

Socioeconomic status confounded the smoking-related risk for disability pension; for female heavy smokers, however, a significant increased risk persisted after adjustment. Women may be particularly vulnerable to heavy smoking and to its sociomedical consequences, such as disability pension.