Socioeconomic Trends in Adolescent Smoking in Finland From 2000 to 2015

Roles of parental smoking and family structure for the explanation of socio-economic inequalities in adolescent smoking

BACKGROUND AND AIMS

Among European countries, France is particularly concerned by adolescent tobacco smoking, especially in disadvantaged socio-economic backgrounds (SES). We measured the respective contributions of parental smoking and family living arrangement to social disparities in smoking during adolescence.

DESIGN

Secondary analysis of survey data.

SETTING

A cross-sectional nation-wide exhaustive 12-day survey in March 2017 of French youth aged 17-18.5 years participating in the national mandatory civic information day.

PARTICIPANTS

A total of 13 314 adolescents answering a pen-and-paper questionnaire about their own tobacco consumption and the smoking of their parents.

MEASUREMENTS

Risk ratios (RRs) were computed using modified Poisson regressions, and population-attributable fraction (PAF) was used as a measure of the explanatory roles of the different factors as mediators of SES.

FINDINGS

Adolescents living within very privileged and privileged SES were significantly less likely to report daily tobacco smoking (20.4 and 22.7%, respectively) than those within modest and disadvantaged ones (26.0 and 28.6%, respectively). Parental smoking and family living arrangement independently explained the smoking inequalities among adolescents. After adjusting for schooling factors, the risks associated with parental smoking ranged between RR = 1.64 [95% confidence interval (CI) = 1.50-1.79] when the father only smoked and RR = 2.17 (95% CI = 1.99-2.36) when both parents smoked, compared with non-smoking parents; the risk associated with living in a non-intact family was 1.35 (95% CI = 1.26-1.43) and that of living outside the parental home was 1.20 (95% CI = 1.10-1.30). Apprentices and adolescents out of school had higher risks than those at school (RR = 1.82, 95% CI = 1.68-1.98) and RR = 2.10, 95% CI = 1.92-2.29). The contribution of parental smoking to adolescent smoking (PAF = 32%) was greater than that of SES (PAF = 9%), family living arrangement (PAF = 17%) or schooling factors (14%). The share of SES decreased from 18 to 9% when considering these mediating factors.

CONCLUSION

In France, parental smoking appears to be the factor that most influences adolescent smoking, followed by family living arrangement; the role of family socio-economic status is small in comparison.

Social Differences in Health Behaviours among Jordanian Adolescents

Social differences are evident in both developed and developing countries. During adolescence, there are limited differences in morbidity and mortality, but differences do appear in terms of health behaviours. This study aims to examine the relationship(s) between social differences and students’ health behaviours. A cross-sectional study was conducted in 2020 with a sample of high school students (N = 2741, aged 13–18 years) in Jordan. Besides descriptive statistics, bivariate logistic regression analysis was used to detect the odds risk for each social difference indicator. Females were engaged in more healthy dietary and hygienic behaviours and less engaged in smoking. Males were more physically active. Adolescents with a higher parental education level were more engaged in healthy behaviours; however, they drank carbonated soft drinks and ate fast food more often. Higher SES (socioeconomic status) self-evaluation was positively associated with eating breakfast and fruit and vegetables, being physically active, drinking carbonated soft drinks, eating fast food, and smoking. Our findings suggest that socioeconomic differences are important to understanding Jordanian adolescents’ health behaviours. While females tend to engage in more healthy behaviours, the role of parental education and perceived family affluence is not always beneficial in terms of adolescents’ dietary habits, hygienic behaviour, or smoking.

Election promises on children's wellbeing and health 2015 to 2021 - a study of Finnish voting advice applications database

BACKGROUND

According to the UN Convention on the Rights of the Child, children's views should be heard in policymaking. But it remains unclear to what extent children's wellbeing is considered in election promises.

METHODS

We investigated the extent to which Finnish political candidates consider children and their wellbeing in their election promises. We used YLE, the national broadcaster's voting advice application database, and analysed some 35,000 politicians' election promises made in the 2015 and 2019 parliamentary and the 2017 and 2021 municipal elections. We calculated the proportion of candidates who mentioned children and examined the content of the election promises in which children were mentioned. Logistic regression models were used to examine the role of the background of the characteristics of candidates.

RESULTS

In the 2015 and 2019 elections, some 12% and 19% of candidates, respectively, mentioned children in their election promises. The figures for the 2017 and 2021 municipal elections were higher at 19% and 24%, respectively. In the 2021 election, the candidates considering children in their election promises were younger and had higher education qualifications. Inspection of a random set of 350 promises indicated that common issues mentioned in respect of children were education and hobby activities. Concrete proposals to improve the wellbeing of children were rarely put forward.

CONCLUSIONS

Political candidates are increasingly considering children in their election promises but concrete proposals to improve the wellbeing and health of children are rare. Effective policy solutions to improve the health of children should be discussed in election debates.

Socioeconomic Differences in Cigarette Smoking and Alternative Tobacco Product Use Among Adolescents in a School-Based Smoking Preventive Intervention: Findings From the Second Year of the X:IT II Study

Background

Health interventions may differently impact adolescents from diverse backgrounds. This study examined whether a smoking preventive intervention was equally effective in preventing cigarette smoking and use of alternative tobacco products (ATPs, i.e., snus, e-cigarettes, and waterpipe) among students from different socioeconomic backgrounds, i.e., occupational social classes (OSC).

Methods

Data was from the school-based intervention X:IT II targeting 13- to 15-year-olds Danes. The intervention focused on three main components: smoke-free school time, smoke-free curriculum, and parental involvement. In total, 46 schools were included at baseline (N = 2,307, response rate = 86.3%). Using a difference-in-differences approach, changes in current smoking and ever use of ATPs were estimated among students in high versus low OSC at second follow-up. Analyses were based on available cases (N = 826) and multiple imputations of missing data at the second follow-up (N = 1,965).

Results

At baseline (age 13), 1.0% of students from high OSC and 4.8% from low OSC currently smoked cigarettes, while this was the case among 24.5 and 25.6%, respectively, at the second follow-up (age 15). Estimates indicated that social inequalities in current smoking diminished over time (p < 0.001). Regarding ATPs, 10.0% of high OSC students and 13.9% of low OSC students had ever used ATPs at baseline, while at second follow-up, 46.8 and 60.8%, respectively, had ever used ATPs. Estimates indicated that social inequalities in ever use of ATPs widened over time (p < 0.001).

Conclusions

The X:IT II intervention seemed to diminish socioeconomic disparities in smoking over the study period. Meanwhile, social inequalities in ever use of ATPs increased. Therefore, besides focusing on narrowing the social disparities in cigarette smoking, future efforts may, to a larger extent, focus on adolescents' use of ATPs.

Changes over time in mental health symptoms among adolescents in Tampere, Finland

Background:

Mental health problems are common in adolescence and seeking help for them is becoming more common. Referrals to adolescent mental healthcare have recently increased in Finland.

Objective:

To examine time trends in internalizing and externalizing mental health symptoms among Finnish adolescents.

Method:

A time-trend school survey was conducted among 9^th graders (15-year-olds) in Tampere, Finland, in three time periods: 2002–03, 2012–13 and 2018–19 (N = 4,162).

Results:

Compared to the period 2002–03, prevalence of externalizing symptoms decreased in the period 2012–13 and further in 2018–19. The prevalence of internalizing symptoms did not change significantly between 2002–03 and 2012–13; however, in 2018–19, depression, social anxiety, general anxiety, poor subjective health, stress symptoms among boys, and poor self-esteem increased compared to earlier time periods. The increases were more marked among girls. However, suicidal ideation did not increase in 2018–19 compared to earlier time periods.

Conclusion:

Whereas the prevalence of externalizing symptoms decreased among Finnish adolescents between 2002–03 and 2018–19, the prevalence of internalizing symptoms increased between 2012–13 and 2018–19. To help to understand the causes of these increases and to prevent internalizing problems, further research on the underlying causes is needed.

Socio-economic differences in smoking among adolescents in a school-based smoking intervention: The X:IT II study

Aims: Socio-economic inequalities in health behaviour may be influenced by health interventions. We examined whether the X:IT II intervention, aiming at preventing smoking in adolescence, was equally effective among students from different occupational social classes (OSC). Methods: We used data from the multi-component school-based smoking preventive intervention X:IT II, targeting 13- to 15-year-olds in Denmark. The intervention was tested in 46 schools with 2307 eligible students at baseline (response rate=86.6%) and had three main intervention components: smoke-free school time, smoke-free curriculum and parental involvement. We used a difference-in-difference design and estimated the change in current smoking after the first year of implementation in high versus low OSC. Analyses were based on available cases (N=1190) and imputation of missing data at follow-up (N=1967). Results: We found that 1% of the students from high OSC and 4.9% from low OSC were smokers at baseline (imputed data), and 8.2% of the students from high OSC and 12.2% from low OSC were smokers at follow-up. Difference-in-difference estimates were close to zero, indicating no differential trajectory. Conclusions: As intended, the X:IT II intervention, designed to apply equally to students from all socio-economic groups, did not seem to create different trajectories in current smoking among adolescents in high and low socio-economic groups. To diminish social inequality in health, future studies should carefully consider the ability to affect all socio-economic groups equally, or even to appeal mainly to participants from lower socio-economic groups, as they are often the ones most in need of intervention.

Prevalence and predictors of smoking, quit attempts and total smoking ban at the University of Turku, Finland

OBJECTIVES

The current study employed socio-demographic, health and lifestyle, and academic variables to assess the prevalence and independent predictors of daily smoking, attempts to quit smoking, and agreement with total smoking ban at university.

METHODS

Students at the University of Turku (1,177) completed an online questionnaire that assessed socio-demographic, health and lifestyle, and academic characteristics, and three smoking variables (smoking, attempts to quit, agreement with total smoking ban at university). Bivariate relationships and multiple logistic regression assessed relationships between student characteristics and the three smoking variables before and after controlling for all other variables.

RESULTS

Slightly < 80% of students never smoked, 16% were occasional, and about 6% were daily smokers, and about 40% had attempted to quit. Nearly half the sample agreed to total smoking ban at university. Physical activity, consuming alcohol, illicit drug/s use and daily smoking were significant independent predictors across > 1 of the three smoking variables. Age, health awareness, importance of achieving good grades, academic performance compared to peers, study burden, and mother's educational level were significant independent predictors of one of the three variables examined.

CONCLUSION

Universities need to assess smoking, with specific focus on the modifiable independent predictors that were associated with > 1 the variables examined, to encourage physical activity and pay attention to reduce alcohol consumption and illicit drug/s and daily smoking, whilst targeting at-risk students. University strategies should be part of the wider country-wide effective tobacco control policies.

Time trends of socioeconomic inequalities in adolescent smoking in Okinawa, Japan, 2008-2016: a repeated cross-sectional study

Background

Smoking among Japanese adolescents has decreased noticeably. However, little is known whether the decreasing trend in adolescent smoking can be seen across all socioeconomic status (SES) groups. This study aimed to examine trends in socioeconomic inequalities in smoking among Japanese adolescents between 2008 and 2016.

Methods

We conducted a repeated cross-sectional study using data from three surveys of high school students in Okinawa, Japan, in 2008, 2012, and 2016. The study participants consisted of 7902 students in grades 10 through 12 (15–18 years). Smoking was assessed as current cigarette use. SES indicators included familial SES (parental education and family structure) and student’s own SES (school type). To evaluate absolute and relative inequalities, prevalence differences (PDs) and ratios (PRs) between low and high SES groups were estimated. The slope index of inequality (SII) and relative index of inequality (RII) were also calculated.

Results

Smoking prevalence among boys and girls significantly declined from 11.5% and 6.2% in 2008 to 4.7% and 1.9% in 2016, respectively. Similar decreasing trends in smoking were found among most of the SES groups. The PDs and SII for parental education in boys and family structure in girls decreased over time while those for school type persisted among boys and girls. The PRs and RII for school type in boys increased while those for other SES indicators among both sexes remained stable over time.

Conclusions

Smoking among Japanese adolescents has been declining and time trends of socioeconomic inequalities in smoking varied by absolute and relative measures. Further policies and/or interventions to reduce smoking inequalities should focus on the context of schools, especially in vocational high schools.

Changes in cannabis use according to socioeconomic status among Finnish adolescents from 2000 to 2015

BACKGROUND

Despite reduced sanctions and more permissive attitudes toward cannabis use in the USA and Europe, the prevalences of adolescent cannabis use have remained rather stable in the twenty-first century. However, whether trends in adolescent cannabis use differ between socioeconomic groups is not known. The aim of this study was to examine trends in cannabis use according to socioeconomic status among Finnish adolescents from 2000 to 2015.

METHODS

A population-based school survey was conducted biennially among 14-16-year-old Finns between 2000 and 2015 (n = 761,278). Distributions for any and frequent cannabis use over time according to socioeconomic adversities were calculated using crosstabs and chi-square test. Associations between any and frequent cannabis use, time, and socioeconomic adversities were studied using binomial logistic regression results shown by odds ratios with 95% confidence intervals.

RESULTS

At the overall level, the prevalences of lifetime and frequent cannabis use varied only slightly between 2000 and 2015. Cannabis use was associated with socioeconomic adversities (parental unemployment in the past year, low parental education, and not living with both parents). The differences in any and frequent cannabis use between socioeconomic groups increased significantly over the study period.

CONCLUSIONS

Although the overall changes in the prevalence of adolescent cannabis use were modest, cannabis use increased markedly among adolescents with the most socioeconomic adversities. Socioeconomic adversities should be considered in the prevention of adolescent cannabis use.