Country-level sociocultural context and socioeconomic inequalities in adolescent dietary behaviours: A multilevel analysis in 21 European countries.

Studies to date have predominantly focused on countries' socioeconomic conditions (e.g., income inequality) to explain cross-national differences in socioeconomic inequalities in adolescent health (behaviours). However, the potential explanatory role of sociocultural contexts at country-level remains underexamined. This study examined whether the country-level sociocultural context and changes thereof were associated with adolescent socioeconomic inequalities in dietary behaviours. International comparative data of 344,352 adolescents living in 21 countries participating in 2002, 2006, 2010 and 2014 waves of the Health Behaviour in School-aged Children (HBSC) survey were combined with aggregated levels of openness-to-change from the European Social Survey (ESS). Four dietary behaviours (i.e., fruit, vegetable, sweets and soft drink consumption) and two measures of socioeconomic status (SES) on the individual level (i.e., family affluence scale [FAS] and occupational social class [OSC]) were studied. Multilevel logistic regression analyses returned contrasting results for the two SES measures used. In countries with higher levels of openness-to-change, smaller FAS inequalities in daily fruit, sweets and soft drink consumption were observed, but no such inequalities were found for vegetable consumption. Conversely, in these countries, larger OSC inequalities in soft drink consumption were found. Country-specific changes in openness-to-change over time were not associated with the magnitude of adolescent dietary inequalities. Findings underscore the importance of including country-level sociocultural contexts to improve the understanding of cross-national differences in socioeconomic inequalities in adolescents' diets. Future studies, spanning a longer timeframe, are required to examine whether such associations exist within countries over time since our timeframe might have been too small to capture these long-term trends.

Trends in material and non-material inequalities in adolescent health and health behaviours: A 12-year study in 23 European countries.

Information on trends in adolescent health inequalities is scarce but the available evidence suggests that inequalities are increasing. Prior studies describe associations between material resources of socioeconomic status (SES) and health, while information on non-material SES resources and inequalities in health behaviours is lacking. To improve current understandings of evolutions in adolescent health inequalities, we examined how material and non-material SES resources were associated with changes in selected health outcomes (life satisfaction, physical and psychological symptoms) and health behaviours (physical activity, screen time, breakfast, fruit, vegetables, sweets and soft drinks consumption and alcohol and tobacco use) over a 12-year period. Repeated cross-sectional data came from the 2002, 2006, 2010 and 2014 waves of the Health Behaviour in School-aged Children (HBSC) survey from 23 European countries (n = 480,386). Measures of family affluence and occupational social class were used as indicators of material and non-material SES resources respectively. Regression-based slope indices of inequality indicated that absolute material and non-material inequalities remained stable from 2002 to 2014 in all health outcomes, except for life satisfaction for which a decrease in material inequalities was found between the highest and lowest affluence group (0.81 to 0.68 difference; p < 0.001). In terms of health behaviours, material inequalities decreased in screen time between highest and lowest affluence groups (0.53 to 0.34 h/day difference; p < 0.001), fruit (odds ratio [OR] 1.89 to 1.72 lower odds; p = 0.0088) and soft drinks consumption (OR 1.36 to 1.13 lower odds; p < 0.001) and remained stable in all others. Non-material inequalities increased in all health behaviours (except for sweets consumption) between highest and lowest occupational social class groups: physical activity (0.16 to 0.24 h/day difference; p = 0.0071), screen time (-0.41 to -0.58 h/day difference; p < 0.001), breakfast (0.21 to 0.51 day/week difference; p < 0.001), fruit (OR 1.23 to 1.48 higher odds; p < 0.001), vegetables (OR 1.39 to 1.74 higher odds; p < 0.001) and soft drinks consumption (OR 0.59 to 0.43 lower odds; p < 0.001) and alcohol (OR 0.99 to 0.85 lower odds; p = 0.0420) and tobacco use (OR 0.71 to 0.59 lower odds; p = 0.0183). In summary, non-material inequalities in most health behaviours increased, whereas material inequalities in adolescent health and health behaviours remain stable or decreased. Policies and interventions may consider non-material SES components as these can help in reducing future health inequalities.

National-Level Wealth Inequality and Socioeconomic Inequality in Adolescent Mental Well-Being: A Time Series Analysis of 17 Countries.

PURPOSE: Although previous research has established a positive association between national income inequality and socioeconomic inequalities in adolescent health, very little is known about the extent to which national-level wealth inequalities (i.e., accumulated financial resources) are associated with these inequalities in health. Therefore, this study examined the association between national wealth inequality and income inequality and socioeconomic inequality in adolescents' mental well-being at the aggregated level. METHODS: Data were from 17 countries participating in three consecutive waves (2010, 2014, and 2018) of the cross-sectional Health Behaviour in School-aged Children study. We aggregated data on adolescents' life satisfaction, psychological and somatic symptoms, and socioeconomic status (SES) to produce a country-level slope index of inequality and combined it with country-level data on income inequality and wealth inequality (n = 244,771). Time series analyses were performed on a pooled sample of 48 country-year groups. RESULTS: Higher levels of national wealth inequality were associated with fewer average psychological and somatic symptoms, while higher levels of national income inequality were associated with more psychological and somatic symptoms. No associations between either national wealth inequality or income inequality and life satisfaction were found. Smaller differences in somatic symptoms between higher and lower SES groups were found in countries with higher levels of national wealth inequality. In contrast, larger differences in psychological symptoms and life satisfaction (but not somatic symptoms) between higher and lower SES groups were found in countries with higher levels of national income inequality. CONCLUSIONS: Although both national wealth and income inequality are associated with socioeconomic inequalities in adolescent mental well-being at the aggregated level, associations are in opposite directions. Social policies aimed at a redistribution of income resources at the national level could decrease socioeconomic inequalities in adolescent mental well-being while further research is warranted to gain a better understanding of the role of national wealth inequality in socioeconomic inequalities in adolescent health.

Socioeconomic Disparities in Diet Vary According to Migration Status among Adolescents in Belgium.

Little information concerning social disparities in adolescent dietary habits is currently available, especially regarding migration status. The aim of the present study was to estimate socioeconomic disparities in dietary habits of school adolescents from different migration backgrounds. In the 2014 cross-sectional "Health Behavior in School-Aged Children" survey in Belgium, food consumption was estimated using a self-administrated short food frequency questionnaire. In total, 19,172 school adolescents aged 10-19 years were included in analyses. Multilevel multiple binary and multinomial logistic regressions were performed, stratified by migration status (natives, 2nd- and 1st-generation immigrants). Overall, immigrants more frequently consumed both healthy and unhealthy foods. Indeed, 32.4% of 1st-generation immigrants, 26.5% of 2nd-generation immigrants, and 16.7% of natives consumed fish ≥two days a week. Compared to those having a high family affluence scale (FAS), adolescents with a low FAS were more likely to consume chips and fries ≥once a day (vs.

Decreasing income inequality and adolescent emotional distress: a population-based case study of Icelandic adolescents 2006-2016.

OBJECTIVES: In this study, we aim to test whether changes in community income inequality influence adolescent emotional distress. We take advantage of the unique combination of data and history available in Iceland. This affluent welfare society has experienced extreme shifts in income inequality, allowing us to test whether changes in community income inequality are related to changes in adolescent emotional distress. METHODS: Combining adolescent survey data (n = 24,107) with tax registry data on 76 neighborhood communities, we used a multilevel approach to model the data as longitudinal in order to test whether changes in community income inequality are related to changes in symptoms of anxiety and depression among adolescents. RESULTS: The results showed that, after adjusting for relevant individual and community covariates, decreases in community income inequality were associated with decreases in symptoms of anxiety among adolescents (b = - 0.367, p ≤ 0.001), but not with decreases in symptoms of depression. CONCLUSIONS: While the results provide a partial support for the income inequality thesis, we call for replications from other cultures and studies exploring the mediating role of social psychological processes.

Social inequality in adolescents' healthy food intake: the interplay between economic, social and cultural capital.

Background: Current explanations of health inequalities in adolescents focus on behavourial and economic determinants and rarely include more meaningful forms of economic, cultural, and social capital. The aim of the study was to investigate how the interplay between capitals constitutes social inequalities in adolescent healthy food intake. Methods: Data were collected in the 2013/14 Flemish Health Behavior among School-aged Children (HBSC) survey, which is part of the international WHO HBSC survey. The total sample included 7266 adolescents aged 12-18. A comprehensive set of 58 capital indicators was used to measure economic, cultural and social capital and a healthy food index was computed from a 17-item food frequency questionnaire (FFQ) to assess the consumption frequency of healthy food within the overall food intake. Results: The different forms of capital were unequally distributed in accordance with the subdivisions within the education system. Only half of the capital indicators positively related to healthy food intake, and instead 17 interactions were found that both increased or reduced inequalities. Cultural capital was a crucial component for explaining inequalities such that social gradients in healthy food intake increased when adolescents participated in elite cultural practices ( P < 0.05), and were consequently reduced when adolescents reported to have a high number of books at home ( P < 0.05). Conclusion: A combination of selected resources in the form of economic, cultural and social capital may both increase or reduce healthy food intake inequalities in adolescents. Policy action needs to take into account the unequal distribution of these resources within the education system.

The relation between indicators of low employment quality and attendance behavior in countries of the European Union.

Background: Previous research demonstrated an association between low employment quality and lower sickness absence, which may be explained by presenteeism. Therefore, this study aimed exploring the relation between three indicators of employment quality (long working hours, precarious employment, job insecurity) and attendance behavior. Methods: The association between employment quality and attendance behavior was investigated in 28.999 workers (mean age: 40.0 years, 53% males) of the fifth wave of the European Working Conditions Survey, using multilevel multinomial logistic regression analysis. Attendance behavior was operationalized as different combinations of sickness absence and presenteeism. Results: Those working >48 h/week, had a higher risk to report presenteeism (with or without sickness absence). They had a lower risk to report sickness absence without presenteeism. Workers with a precarious contract had a lower risk to report absenteeism without presenteeism and the combination of both presenteeism and absenteeism. Finally, for workers perceiving job insecurity, the risk for presenteeism without sickness absence was significantly higher. Conclusions: Several indicators of low employment quality were associated with attendance behavior, suggesting a complex behavioral mechanism in workers facing low job quality employment. Therefore, policy makers are recommended to re-establish the indefinite contractual employment as the standard, avoiding long working hours.

The Family Affluence Scale as an Indicator for Socioeconomic Status: Validation on Regional Income Differences in the Czech Republic.

The Health Behaviour in School-Aged Children study (HBSC) uses the Family Affluence Scale (FAS) as a tool to identify the socioeconomic status of children and adolescents. Even though it is now widely applied in research studies, the external criterion validation of FAS has not been verified in terms of objective economic indicators in Central Europe. The aim of this study is to validate FAS in terms of disposable income per capita in 14 Czech administrative regions. Regional differences in the FAS score were analyzed using Pearson correlation and linear regression to measure the dependency of the aggregated mean of the FAS index at the regional level on data from the Czech HSBC survey carried out from April to June 2014 (n = 10,361). The data analysis has shown an overall positive correlation between the FAS index and regional disposable income (R = 0.77, p < 0.01). The regional disposable income per person could explain 59.7% of the variance in the FAS index (p < 0.01). By validating individual items, the authors identified three items with a significant correlation (p < 0.01): number of computers, dishwasher at home, and number of holidays. FAS seems to be a valid instrument to measure adolescents' socioeconomic status.

The role of community social capital in the relationship between socioeconomic status and adolescent life satisfaction: mediating or moderating? Evidence from Czech data.

BACKGROUND: The concept of social capital has been extensively used to explain the relationship between socioeconomic status (SES) and adolescent health and well-being. Much less is known about the specific mechanism through which social capital impacts the relationship. This paper investigates whether an individual's perception of community social capital moderates or mediates the association between SES and life satisfaction. METHODS: This study employs cross-sectional data from the 2009-2010 Czech Health Behaviour in School-Aged Children survey: a WHO Collaborative Cross-National Study (HBSC). A sample of 4425 adolescents from the 5th, 7th and 9th grade (94.5% school response rate, 87% student response) was used to perform multilevel analysis. RESULTS: We found that pupils' life satisfaction was positively related to both family affluence and perceived wealth. Moreover, we found the cognitive component of social capital to be positively associated with life satisfaction. Additionally, a significant interaction was found, such that the social gradient in life satisfaction was flattened when pupils reported high levels of perceived community social capital. CONCLUSIONS: The present findings suggest that community social capital acts as an unequal health resource for adolescents, but could potentially represent opportunities for public health policy to close the gap in socioeconomic disparities.

Associations between social vulnerabilities and dietary patterns in European children: the Identification and prevention of Dietary- and lifestyle-induced health EFfects In Children and infantS (IDEFICS) study.

Socio-economic inequalities in childhood can determine dietary patterns, and therefore future health. This study aimed to explore associations between social vulnerabilities and dietary patterns assessed at two time points, and to investigate the association between accumulation of vulnerabilities and dietary patterns. A total of 9301 children aged 2-9 years participated at baseline and 2-year follow-up examinations of the Identification and prevention of Dietary- and lifestyle-induced health EFfects In Children and infantS study. In all, three dietary patterns were identified at baseline and follow-up by applying the K-means clustering algorithm based on a higher frequency of consumption of snacks and fast food (processed), sweet foods and drinks (sweet), and fruits and vegetables (healthy). Vulnerable groups were defined at baseline as follows: children whose parents lacked a social network, children from single-parent families, children of migrant origin and children with unemployed parents. Multinomial mixed models were used to assess the associations between social vulnerabilities and children's dietary patterns at baseline and follow-up. Children whose parents lacked a social network (OR 1·31; 99 % CI 1·01, 1·70) and migrants (OR 1·45; 99 % CI 1·15, 1·83) were more likely to be in the processed cluster at baseline and follow-up. Children whose parents were homemakers (OR 0·74; 99 % CI 0·60, 0·92) were less likely to be in the processed cluster at baseline. A higher number of vulnerabilities was associated with a higher probability of children being in the processed cluster (OR 1·78; 99 % CI 1·21, 2·62). Therefore, special attention should be paid to children of vulnerable groups as they present unhealthier dietary patterns.

Does the association between different dimension of social capital and adolescent smoking vary by socioeconomic status? a pooled cross-national analysis.

OBJECTIVES: To analyze how dimensions of social capital at the individual level are associated with adolescent smoking and whether associations differ by socioeconomic status. METHODS: Data were from the 'Health Behaviour in School-aged Children' study 2005/2006 including 6511 15-year-old adolescents from Flemish Belgium, Canada, Romania and England. Socioeconomic status was measured using the Family Affluence Scale (FAS). Social capital was indicated by friend-related social capital, participation in school and voluntary organizations, trust and reciprocity in family, neighborhood and school. We conducted pooled logistic regression models with interaction terms and tested for cross-national differences. RESULTS: Almost all dimensions of social capital were associated with a lower likelihood of smoking, except for friend-related social capital and school participation. The association of family-related social capital with smoking was significantly stronger for low FAS adolescents, whereas the association of vertical trust and reciprocity in school with smoking was significantly stronger for high FAS adolescents. CONCLUSIONS: Social capital may act both as a protective and a risk factor for adolescent smoking. Achieving higher levels of family-related social capital might reduce socioeconomic inequalities in adolescent smoking.

Socioeconomic inequalities in adolescent health 2002-2010: a time-series analysis of 34 countries participating in the Health Behaviour in School-aged Children study.

BACKGROUND: Information about trends in adolescent health inequalities is scarce, especially at an international level. We examined secular trends in socioeconomic inequality in five domains of adolescent health and the association of socioeconomic inequality with national wealth and income inequality. METHODS: We undertook a time-series analysis of data from the Health Behaviour in School-aged Children study, in which cross-sectional surveys were done in 34 North American and European countries in 2002, 2006, and 2010 (pooled n 492,788). We used individual data for socioeconomic status (Health Behaviour in School-aged Children Family Affluence Scale) and health (days of physical activity per week, body-mass index Z score [zBMI], frequency of psychological and physical symptoms on 0-5 scale, and life satisfaction scored 0-10 on the Cantril ladder) to examine trends in health and socioeconomic inequalities in health. We also investigated whether international differences in health and health inequalities were associated with per person income and income inequality. FINDINGS: From 2002 to 2010, average levels of physical activity (3·90 to 4·08 days per week; p<0·0001), body mass (zBMI -0·08 to 0·03; p<0·0001), and physical symptoms (3·06 to 3·20, p<0·0001), and life satisfaction (7·58 to 7·61; p=0·0034) slightly increased. Inequalities between socioeconomic groups increased in physical activity (-0·79 to -0·83 days per week difference between most and least affluent groups; p=0·0008), zBMI (0·15 to 0·18; p<0·0001), and psychological (0·58 to 0·67; p=0·0360) and physical (0·21 to 0·26; p=0·0018) symptoms. Only in life satisfaction did health inequality fall during this period (-0·98 to -0·95; p=0·0198). Internationally, the higher the per person income, the better and more equal health was in terms of physical activity (0·06 days per SD increase in income; p<0·0001), psychological symptoms (-0·09; p<0·0001), and life satisfaction (0·08; p<0·0001). However, higher income inequality uniquely related to fewer days of physical activity (-0·05 days; p=0·0295), higher zBMI (0·06; p<0·0001), more psychological (0·18; p<0·0001) and physical (0·16; p<0·0001) symptoms, and larger health inequalities between socioeconomic groups in psychological (0·13; p=0·0080) and physical (0·07; p=0·0022) symptoms, and life satisfaction (-0·10; p=0·0092). INTERPRETATION: Socioeconomic inequality has increased in many domains of adolescent health. These trends coincide with unequal distribution of income between rich and poor people. Widening gaps in adolescent health could predict future inequalities in adult health and need urgent policy action. FUNDING: Canadian Institutes of Health Research.

Social capital and adolescent smoking in schools and communities: a cross-classified multilevel analysis.

We sought to determine whether social capital at the individual-, school- and community-level can explain variance in adolescent smoking and accounts for social inequalities in smoking. We collected data as part of the 2005/6 Health Behavior in School-aged Children survey, a nationally representative survey of the health and well-being of high school pupils in Belgium (Flanders). Social capital was assessed by structural and cognitive components of family social capital, a four-factor school social capital scale and a cognitive community social capital scale. We fitted non-hierarchical multilevel models to the data, with 8453 adolescents nested within a cross-classification of 167 schools and 570 communities. Significant variation in adolescent regular smoking was found between schools, but not between communities. Only structural family social capital and cognitive school social capital variables negatively related to regular smoking. No interactions between socio-economic status and social capital variables were found. Our findings suggest that previously observed community-level associations with adolescent smoking may be a consequence of unmeasured confounding. Distinguishing nested contexts of social capital is important because their associations with smoking differ.

The relation between psychosocial risk factors and cause-specific long-term sickness absence.

BACKGROUND: The aim was to study the impact of psychosocial risk factors on long-term sickness absence due to mental health problems (LSA-MH) or musculoskeletal disorders (LSA-MSD) in 2983 Belgian middle-aged workers. METHODS: Data were collected from 1372 male and 1611 female workers in the Belstress III study. Considered psychosocial risk factors were job demands, job control, social support, job strain, efforts, rewards, effort-reward imbalance and bullying. Prospective registered sickness absence data were collected during 12 months follow-up; the causes for long-term sickness absence episodes of at least 15 consecutive days were obtained by contacting the general practitioner of the worker. Multiple logistic regression models were used to investigate the relationship between the psychosocial risk factors and LSA-MH and LSA-MSD. RESULTS: Higher levels of rewards at baseline were independently and significantly associated with a lower risk for LSA-MH. Higher levels of control were associated with a lower risk for LSA-MSD during follow-up. Higher job demands and efforts were significantly related to a lower risk for LSA-MSD. Finally, bullying was significantly and independently related to both LSA-MH and LSA-MSD during the follow-up period. CONCLUSIONS: These results suggest that psychosocial risk factors are related to LSA-MH and LSA-MSD, of which especially bullying seems to be a potent stressor.

Absolute and relative family affluence and psychosomatic symptoms in adolescents.

Previous research on the links between income inequality and health and socioeconomic differences in health suggests that relative differences in affluence impact health and well-being more than absolute affluence. This study explored whether self-reported psychosomatic symptoms in adolescents relate more closely to relative affluence (i.e., relative deprivation or rank affluence within regions or schools) than to absolute affluence. Data on family material assets and psychosomatic symptoms were collected from 48,523 adolescents in eight countries (Austria, Belgium, Canada, Norway, Scotland, Poland, Turkey, and Ukraine) as part of the 2009/10 Health Behaviour in School-aged Children study. Multilevel regression analyses of the data showed that relative deprivation (Yitzhaki Index, calculated in regions and in schools) and rank affluence (in regions) (1) related more closely to symptoms than absolute affluence, and (2) related to symptoms after differences in absolute affluence were held constant. However, differences in family material assets, whether they are measured in absolute or relative terms, account for a significant variation in adolescent psychosomatic symptoms. Conceptual and empirical issues relating to the use of material affluence indices to estimate socioeconomic position are discussed.

The relation between presenteeism and different types of future sickness absence.

OBJECTIVES: The aim of this study was to examine the relation between sickness presenteeism and different types of future sickness absence in 2,983 Belgian middle-aged workers. METHODS: Data were collected from 1,372 male and 1,611 female workers. Presenteeism was assessed by a single question, evaluating the frequency of occasions of going at work, despite illness, during the preceding year. Prospective, registered sickness absence data were collected during 12 months of follow-up. Multivariate logistic regression models were used to investigate the relationship between presenteeism and short/long spells of absenteeism and high sickness absence frequency. RESULTS: High rates (>5 times) of presenteeism at baseline were significantly and independently associated with both long spells of sickness absence (at least 15 consecutive sick leave days) (men, OR=2.73, 95% CI=1.24-6.03; women, OR=2.40, 95% CI=1.31-4.40) and short spells of sickness absence (sick leave between 1 and 3 days) (men, OR=2.38, 95% CI=1.25-4.51; women, OR=1.90, 95% CI=1.17-3.11) in both genders during one year follow-up. Moderate rates (2-5 times) of presenteeism were significantly associated with long spells of sickness absence only in the male group (OR=1.90, 95%CI= 1.21-2.97). With regard to high sickness frequency (at least 3 sick leave episodes), a significant and positive association with high rates of presenteeism was demonstrated only in the female workers (OR=2.38, 95% CI=1.40-4.04). CONCLUSIONS: These results suggest that presenteeism was related to different types of future sickness absence.

Does neighbourhood social capital aid in levelling the social gradient in the health and well-being of children and adolescents? A literature review.

BACKGROUND: Although most countries in the European Union are richer and healthier than ever, health inequalities remain an important public health challenge. Health-related problems and premature death have disproportionately been reported in disadvantaged neighbourhoods. Neighbourhood social capital is believed to influence the association between neighbourhood deprivation and health in children and adolescents, making it a potentially interesting concept for policymakers. METHODS: This study aims to review the role of social capital in health inequalities and the social gradient in health and well-being of children and adolescents. A systematic review of published quantitative literature was conducted, focussing on (1) the mediating role of neighbourhood social capital in the relationship between socio-economic status (SES) and health-related outcomes in children and adolescents and (2) the interaction between neighbourhood social capital and socio-economic characteristics in relation to health-related outcomes in children and adolescents. Three electronic databases were searched. Studies executed between 1 January 1990 and 1 September 2011 in Western countries (USA, New Zealand, Australia and Europe) that included a health-related outcome in children or adolescents and a variable that measured neighbourhood social capital were included. RESULTS: Eight studies met the inclusion criteria for the review. The findings are mixed. Only two of five studies confirmed that neighbourhood social capital mediates the association between neighbourhood deprivation and health and well-being in adolescents. Furthermore, two studies found a significant interaction between neighbourhood socio-economic factors and neighbourhood social capital, which indicates that neighbourhood social capital is especially beneficial for children who reside in deprived neighbourhoods. However, two other studies did not find a significant interaction between SES and neighbourhood social capital. Due to the broad range of studied health-related outcomes, the different operationalisations of neighbourhood social capital and the conceptual overlap between measures of SES and social capital in some studies, the factors that explain these differences in findings remain unclear. CONCLUSIONS: Although the findings of this study should be interpreted with caution, the results suggest that neighbourhood social capital might play a role in the health gradient among children and adolescents. However, only two of the included studies were conducted in Europe. Furthermore, some studies focussed on specific populations and minority groups. To formulate relevant European policy recommendations, further European-focussed research on this issue is needed.