Is educational differentiation associated with smoking and smoking inequalities in adolescence? A multilevel analysis across 27 European and North American countries

How economic development affects healthcare access for people with disabilities: A multilevel study in China

Meeting the healthcare needs of people with disabilities is an important challenge in achieving the central promise of "leave no one behind" during the Sustainable Development Goals era. In this study, we describe the accessibility of healthcare for people living with disabilities, as well as the potential influences of individuals' socioeconomic status and regional economic development. Our data covered 324 prefectural cities in China in 2019 and captured the access to healthcare services for people with disabilities. First, we used linear probability regression models to investigate the association between individual socioeconomic status, including residence, poverty status, education, and healthcare access. Second, we conducted an ecological analysis to test the association between prefectural economic indicators, including GDP (gross domestic product) per capita, urbanization ratio, average years of education, Engel's coefficient, and the overall prevalence of access to healthcare for people with disabilities within prefectures. Third, we used multilevel regression models to explore the association between the individual's socio-economic status, prefectural economic indicators, and access to healthcare at the individual level for people with disabilities. The results showed, first, that higher individual socioeconomic status (urban residence or higher educational level) was associated with better access to healthcare for people with disabilities. Second, regional economic indicators were positively associated with access to healthcare at the aggregate and individual levels. This study suggests that local governments, particularly in low- and middle-income countries, should promote economic development and conduct poverty alleviation policies to improve healthcare access for disadvantaged groups.

Regional socioeconomic deprivation in Germany and nicotine use among children and adolescents

To assess the association of regional socioeconomic deprivation and nicotine use, survey data from 17,877 pupils aged 9-17 years were analysed. Lifetime use of combustible, e-cigarettes, and both products were the outcome variables. The German Index of Socioeconomic Deprivation was the exposure variable. Logistic regression models controlling for age, gender, school type, and sensation seeking were used to examine associations between regional socioeconomic deprivation and nicotine use. Ever use of combustible cigarettes was 17.8%, of e-cigarettes 19.6%, and of both products 13.4%. Compared to the most affluent area, the adjusted odds ratio of combustible cigarette use in the most deprived area was 2.24 (95% CI: 1.67-3.00), of e-cigarette use 1.56 (95% CI: 1.20-2.03), and of poly use 1.91 (95% CI: 1.36-2.69). Nicotine use among young people across ages and especially in socioeconomic-deprived areas was widespread. Nicotine control measures are urgently needed to reduce smoking and vaping in German adolescents.

Socioeconomic inequalities in adolescent health behaviours across 32 different countries - The role of country-level social mobility

Higher family affluence is associated with healthier behaviours in adolescents, but the strength of this association varies across countries. Differences in social mobility at the country-level, i.e. the extent to which adolescents develop a different socioeconomic status (SES) than their parents, may partially explain why the association between family affluence and adolescent health behaviours is stronger in some countries than in others. Using data from adolescents aged 11-15 years from 32 countries, participating in the 2017/2018 wave of the Health Behaviour in School-aged Children (HBSC) study (N = 185,086), we employed multilevel regression models with cross-level interactions to examine whether country-level social mobility moderates the association between family affluence and adolescent health behaviours (i.e. moderate-to-vigorous physical activity, vigorous physical activity, healthy and unhealthy foods consumption, having breakfast regularly, and weekly smoking). Higher family affluence was more strongly associated with higher levels of adolescent physical activity in countries characterized by high levels of social mobility. No cross-level interactions were found for any of the other health behaviours. Differences in social mobility at the country-level may contribute to cross-national variations in socioeconomic inequalities in adolescent physical activity. Further research can shed light on the mechanisms linking country-level social mobility to inequalities in adolescent physical activity to identify targets for policy and interventions.

Does comprehensive education reduce health inequalities?

This article analyses the impact of comprehensive education on health inequalities. Given that education is an important social determinant of health, it is hypothesised that a more equitable comprehensive system could reduce health inequalities in adulthood. To test this hypothesis, we exploited the change from a largely selective to a largely comprehensive system that occurred in the UK from the mid-1960s onwards and compare inequalities in health outcomes of two birth cohorts (1958 and 1970) who attended either system. We studied physical and mental health, health behaviours and life satisfaction in middle age as outcomes and absolute and relative inequalities by social class (of origin and destination) and education. Inverse probability weighting was used to control confounding by socio-economic and education background, and ability test score taken prior to secondary school entry. We did not find consistent evidence that health inequalities were smaller under the comprehensive compared to the selective system and the results were robust under different model specifications. Our study adds to the sparse but growing literature that assesses the impact of social policy on health inequalities.

Education tracking and adolescent smoking: a counterfactual and prospective cohort study

BACKGROUND AND AIMS

Adolescent smoking is a health issue and a potential health inequality issue. Education tracking, which is the placement of students into different school types and curricula based on their learning needs or abilities, is an indicator of inequality and risk factor of adolescent smoking. We examined the effect of educational tracking, dividing students into vocational and academic high school tracks, on adolescent smoking in Taiwan.

DESIGN AND SETTING

Longitudinal panel data, collected annually from 2000 over a period of 6 years as part of the Taiwan Youth project, were used.

PARTICIPANTS

Adolescents (aged 13-18 years) from the first six waves of the Taiwan Youth Project were included in the project, of whom 2147 had clear information on track attendance in 10th grade, control variables in 7th/8th grades and smoking behavior in 8th grade (before track placement). Post-track smoking behavior was measured at 10th, 11th and 12th grades.

MEASUREMENTS

The outcome variable was the self-reported smoking status in the 8th grade and between 10th and 12th grades. The treatment variable of interest was education tracking (vocational versus academic), which was conducted when the student was in 10th grade. Several important confounders were used for the difference-in-differences propensity score matching (e.g. parents' education and same classroom peer smoking).

FINDINGS

Placement of a student in the vocational track increased the proportion of smokers by 3.3 percentage points in 10th grade (P = 0.039). The effect was even more pronounced in 11th grade (6.2 percentage points; P = 0.000) and 12th grade (5.9 percentage points; P = 0.003).

CONCLUSIONS

Education tracking (placement of students into different school curricula based on learning needs or abilities) appears to be a risk factor for adolescent smoking among Taiwanese adolescents.

Adolescents' sleep quality in relation to peer, family and school factors: findings from the 2017/2018 HBSC study in Flanders

PURPOSE

While a multitude of studies focused on biological and behavioral determinants of adolescents' sleep quality, a paucity of research examined the impact of social factors. The current study therefore examines the relationship between adolescents' sleep quality and peer, family and school factors.

METHODS

Data of Flemish participants in the 2017/2018 Health Behavior in School-aged Children survey (HBSC) were used, which is representative of the adolescent population (11-18 years) in Flanders. Adolescents' sleep quality was linked to individual-level data on peer relationships (i.e., peer support), family relationships (i.e., family support, perceived family wealth, caregiving responsibilities) and school relationships (i.e., teacher support, school support, school pressure) and contextual-level data on the school culture. Three-level multilevel models were fitted to account for the clustering of individuals (N = 8153) within classes (N = 769) and classes within schools (N = 177).

RESULTS

The individual-level results indicated that adolescents' sleep quality was positively related to family support, teacher support, student support and perceived family wealth. In contrast, adolescents' sleep quality was negatively related to caregiving responsibilities and school pressure. In addition, the contextual-level results pointed out that adolescents tended to report better sleep quality in less-demanding schools.

CONCLUSION

These findings highlight the need to consider social factors in promoting better sleep in adolescence.

Do comprehensive school reforms impact the health of early school leavers? Results of a comparative difference-in-difference design

In the current article, we examine whether and how reforms in tracking age affect educational inequalities in health among people between the ages of 25-75 years. Particular attention is paid to the health consequences for early school leavers. The study combines data from the European Social Survey (2002-2016) on 21 countries with country-cohort information on education policies. Moreover, a difference-in-difference design is used, which takes advantage of both the cross-national and cross-temporal variability in the implementation of comprehensive schooling reforms. The results reveal statistically significant, but very small effects of de-tracking policies on people's health. That is, comprehensive education leads to slight improvements in health among people who have attained upper secondary or tertiary education, but these improvements are achieved at the expense of the health of those with the lowest levels of education. Our study should encourage future research to further explore the institutional impact of educational systems on the health of individuals.

Inequalities in adolescent self-rated health and smoking in Europe: comparing different indicators of socioeconomic status

Background

Although there is evidence for socioeconomic inequalities in health and health behaviour in adolescents, different indicators of socioeconomic status (SES) have rarely been compared within one data sample. We examined associations of five SES indicators with self-rated health (SRH) and smoking (ie, a leading cause of health inequalities) in Europe.

Methods

Data of adolescents aged 14–17 years old were obtained from the 2013 SILNE survey (smoking inequalities: learning from natural experiments), carried out in 50 schools in 6 European cities (N=10 900). Capturing subjective perceptions of relative SES and objective measures of education and wealth, we measured adolescents’ own SES (academic performance, pocket money), parental SES (parental educational level) and family SES (Family Affluence Scale, subjective social status (SSS)). Logistic regression models with SRH and smoking as dependent variables included all SES indicators, age and gender.

Results

Correlations between SES indicators were weak to moderate. Low academic performance (OR=1.96, 95% CI 1.53 to 2.51) and low SSS (OR=2.75, 95% CI 2.12 to 3.55) were the strongest indicators of poor SRH after adjusting for other SES-indicators. Results for SSS were consistent across countries, while associations with academic performance varied. Low academic performance (OR=5.71, 95% CI 4.63 to 7.06) and more pocket money (OR=0.21, 95% CI 0.18 to 0.26) were most strongly associated with smoking in all countries.

Conclusions

Socioeconomic inequalities in adolescent health were largest according to SES indicators more closely related to the adolescent’s education as well as the adolescent’s perception of relative family SES, rather than objective indicators of parental education and material family affluence. For future studies on adolescent health inequalities, consideration of adolescent-related SES indicators was recommended.

A long way to go: 20-year trends from multiple surveillance systems show a still huge use of tobacco in minors in Italy

Background

Main aim was to describe youth smoking prevalence in Italy over the last two decades, and to provide recent trends in knowledge, attitudes towards smoking, awareness of anti-tobacco mass media campaigns, second-hand smoke (SHS) exposure and access to cigarettes.

Methods

Figures from three surveillance systems, with 12 representative cross-sectional surveys (about 43 000 participants): European School Survey Project on Alcohol and Other Drugs, 15-16-year-old students, 1995-2015; Health Behaviour in School-aged Children, 11-, 13-, 15-year-old students, 2002-14 and Global Youth Tobacco Survey, 13-15-year-old students, 2010, 2014.

Results

Among 11- and 13-year-old students, daily and non-daily smokers decreased by 30-50% from 2002 to 2014. Among 15-16-year-old adolescents, ever smokers significantly decreased by 10% in the period 1995-2015, whereas current and daily smokers have been stalling or even increased. Appeal of smoking increased in 2014 compared to 2010, perception of SHS as harmful, and awareness of recent anti-tobacco mass media campaigns decreased. Moreover, a significant 30% reduction in reporting retailers did not refuse to sell cigarettes to adolescents and a decrease in reporting to buy cigarettes were reported.

Conclusions

Policies enforced in Italy over the last 20 years slightly reduced ever smokers, but did not decrease current and daily smokers in 15-16-year-old adolescents, and determined an impact among younger adolescents. Stricter rules on youth tobacco access reduced ease of access to cigarettes, but did not affect adolescents' tobacco use. Stronger tobacco control measures are urgently needed in order to determine a steeper decline in smoking prevalence in adolescents.

Socioeconomic Inequalities in Adolescent Substance Use: Evidence From Twenty-Four European Countries

BACKGROUND

While there is evidence for socioeconomic inequalities in some adolescent substance use behaviors, there is limited information on how socioeconomic inequalities compare across European countries and over time.

OBJECTIVES

To compare socioeconomic inequalities in problematic adolescent substance use (regular smoking, heavy episodic drinking, and cannabis use) across 24 European countries at two time points.

METHODS

We use the European School Survey Project on Alcohol and Other Drugs (ESPAD) to examine socioeconomic inequalities in problematic adolescent substance use across 24 European countries in 2007 (n = 73,877) and 2011 (n = 71,060) using within country logistic regressions. Socioeconomic inequalities are measured using a relative index of inequality based on highest level of parental education relative to country of residence within survey year. Countries are ranked according to socioeconomic differentials.

RESULTS

In 2007, lower socioeconomic status (SES) adolescents had significantly higher odds of heavy episodic drinking in 10 countries, regular smoking in 12 countries, and recent cannabis use in 1 country. In 2011, the number of countries were 11, 15, and 0, respectively. In 2007, lower SES adolescents had a significantly lower odds of heavy episodic drinking in one country, regular smoking in one country, and cannabis use in four countries. In 2011, the number of countries were two, one, and six, respectively. There was little evidence for changes in socioeconomic inequalities over time.

CONCLUSIONS

There are large country level differences in socioeconomic inequalities in adolescent substance use.

Education system stratification and health complaints among school-aged children

Research shows that the school environment is an important social determinant of health among children and adolescents. However, we know virtually nothing of the health consequences of national education systems and policies, for example the stratification of pupils by academic ability. This study aimed to investigate if education system stratification is related to self-reported psychological and somatic health complaints of pupils aged 11 to 15, and social inequalities in such health complaints. Survey data from the Health Behaviors of School-aged Children (HBSC) survey, covering 33 countries and more than 180 000 pupils in primary and lower secondary school, were used. Multilevel models showed that education system stratification was not associated with the average levels of health complaints of pupils, but cross-level interaction effects showed that stratification moderated the relationship between social background and health complaints, such that inequalities in health complaints were smaller in countries with more stratified systems. Moreover, this moderating effect was mediated by the school learning environment and social relations in school. Specifically, social inequalities in school pressure, academic self-concept, school climate, and school satisfaction were smaller in more stratified education systems, which in turn accounted for smaller inequalities in health complaints in these countries.

Education is the strongest socio-economic predictor of smoking in pregnancy

AIMS

To investigate socio-economic disparities in smoking in pregnancy (SIP) by the mother's education, occupational class and current economic conditions.

DESIGN

Cross-sectional analysis with linked survey and register data.

SETTING

South-western Finland.

PARTICIPANTS

A total of 2667 pregnant women [70% of the original sample (n = 3808)] from FinnBrain, a prospective pregnancy cohort study.

MEASUREMENTS

The outcome was smoking during the first pregnancy trimester, measured from the Finnish Medical Birth Register. Education and occupational class were linked from population registers. Income support recipiency and subjective economic wellbeing were questionnaire-based measures of current economic conditions. These were adjusted for age, partnership status, residential area type, parental separation, parity, childhood socio-economic background, childhood adversities (the Trauma and Distressing Events During Childhood scale) and antenatal stress (Edinburgh Postnatal Depression Scale). Logistic regressions and attributable fractions (AF) were estimated.

FINDINGS

Mother's education was the strongest socio-economic predictor of SIP. Compared with university education, adjusted odds ratios (aORs) of SIP were: 2.2 [95% confidence interval (CI) = 1.2-3.9; P = 0.011] for tertiary vocational education, 4.4 (95% CI = 2.1-9.0; P < 0.001) for combined general and vocational secondary education, 2.9 (95% CI = 1.4-6.1; P = 0.006) for general secondary education, 9.5 (95% CI 5.0-18.2; P < 0.001) for vocational secondary education and 14.4 (95% CI = 6.3-33.0; P < 0.001) for compulsory schooling. The total AF of education was 0.5. Adjusted for the other variables, occupational class and subjective economic wellbeing did not predict SIP. Income support recipiency was associated positively with SIP (aOR = 1.8; 95% CI = 1.1-3.1; P = 0.022). Antenatal stress predicted SIP (aOR = 2.0; 95% CI = 1.4-2.8; P < 0.001), but did not attenuate its socio-economic disparities.

CONCLUSIONS

In Finland, socio-economic disparities in smoking in pregnancy are attributable primarily to differences in the mother's educational level (low versus high) and orientation (vocational versus general).

Same-Sex Friendship, School Gender Composition, and Substance Use: A Social Network Study of 50 European Schools

BACKGROUND

Other-sex friendship (girls with boy friends, boys with girl friends) has been associated with substance use, but how the gender composition of schools influences substance use has not been known.

OBJECTIVES

We analyzed the influence of other-sex friendship on substance use and took into account the proportion of each gender group at the schools, and hypothesized that other-sex friendship is associated with higher levels of substance use and that schools with a majority of males have higher levels of use than female-majority schools.

METHODS

In 2013, a social network survey was carried out in six European cities. In each city, schools were selected and 11,015 adolescents (aged 14-16) were recruited (participation rate = 79.4%). We collected data on smoking, binge drinking, cannabis use, and peer group composition.

RESULTS

Other-sex friendship was associated with smoking, binge drinking, and cannabis use for girls and with smoking for boys. Substance use was more frequent in schools with a majority of males. Conclusions/Importance: Adolescent girls are best protected from substance use if they are in gender-balanced schools, but in same-sex friendship. This offers new perspectives on gender mixing at school. In schools with a majority of boys, more attention should be paid to girls, and gender-specific health promotion programs should be implemented. This European study is the first to take into account both individual (other-sex friendship) and contextual (gender composition of schools) gender interactions. It confirms previous studies on other-sex friendship, while shedding light on the influence of gender-normative contexts on substance use.