Inequalities In Adolescent Health Research Articles

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.

The international Family Affluence Scale (FAS): Charting 25 years of indicator development, evidence produced, and policy impact on adolescent health inequalities

In the absence of suitable indicators of adolescent socioeconomic status, the Family Affluence Scale (FAS) was first developed in Scotland 25 years ago. Since then, it has been adapted for use in the Health Behaviour in School-Aged Children (HBSC) Study to research inequalities in adolescent health in Europe and North America. FAS has also been used as an indicator of adolescent socioeconomic status in research studies outside of HBSC, worldwide. There has been a need for FAS to evolve and change its component items over time in order to take into account social and technological changes influencing the families of adolescents. This paper uniquely charts the development of FAS describing the methodological work carried out to validate the measure internationally and over time. It also presents an overview of the body of evidence on adolescent health inequalities produced over years from the HBSC Study and other research studies. Interviews conducted with policy stakeholders reveal that the evidence from FAS-related HBSC work has influenced their strategic work to raise awareness of inequalities and make the case for action to address these. Finally, the future of FAS is discussed with respect to its continual evolution in the context of technological, environmental and social change.

Knowledge, attitudes, and practices on menstrual hygiene among school-going adolescent students in the rural areas of Wardha district, Maharashtra: A cross-sectional study.

Introduction: In many Indian studies, menstruation is considered a female subject because only girls and women are affected. Adolescent boys are excluded, demonstrating that menstruation is recognized as a social phenomenon with gender differences. Boys’ knowledge and attitudes about menstruation and socio-economic variables influencing their experiences related to menstruation must be investigated if boys are to play a substantial part in improving women's health. Boys’ participation in improving women’s health and reducing gender inequalities is where reducing gender inequalities in adolescent health must begin. We will study boys' knowledge, beliefs, and attitudes about menstruation to understand the role of social determinants in their experiences. The study investigates the knowledge of menstruation, sources of knowledge, attitudes towards menstruation and menstrual hygiene management of adolescents. Methods: A cross-sectional study will be conducted on adolescent school-going students in government schools using a questionnaire, which includes questions on socio-economic variables, family, and education. The study population will include 154 students in the age group of 10–19 years. Both boys and girls are included in the study population. Results: The findings of the study will provide insights that can be used to improve the menstrual hygiene practices of the target population of adolescents group age 10–19 years old. The study finding will also show the knowledge of adolescents about menstruation. It also indicates how boys assist and emotionally support their menstruating family members and colleagues.

Does social disadvantage persist over generations due to an uneven distribution of mental health diagnoses? A longitudinal investigation of Finnish register data

Social disadvantages persist over generations, while the mechanisms behind the intergenerational transmission are not well understood. To fill this gap, first, we examine to what degree being diagnosed with a mental health disorder in adolescence mediate the transmission of social disadvantage. Second, we investigate whether the role of mental health varies for different outcomes. Third, we examine differences between disorder groups and gender.We exploited register data on the full Finnish population including information on mental health diagnoses (MHD) based on ICD-10 classification recorded in public specialized health care. As socioeconomic outcomes, we used offspring's (N = 511,835) records for low educational attainment, unemployment, and social assistance dependency in early adulthood. In addition to linear probability models, the g-computation method was used to simulate the degree to which reducing mental health inequalities in adolescence could narrow the differences between children of different family backgrounds.Our results show that adolescents with MHD had a higher likelihood of experiencing social disadvantage as young adults even after accounting for parental socioeconomic status and alternative health pathways. The counterfactual analysis indicated that the proportion mediated by unevenly distributed MHD was with 7.5% highest for social assistance followed by 4.2% for education and 3.2% for unemployment. The effect of mental health was modified by gender yet direction and strength varied across methods and externalizing behaviors mattered more for the intergenerational persistence than internalizing behaviors. Hypothetically reducing MHD to the level of families with high socioeconomic status might indeed lower part of the intergenerational transmission of social assistance dependency but to lesser degree of unemployment and low educational attainment. We demonstrate the need of support and services for those with MHD, especially among socially disadvantaged groups. However, social disadvantage should not be overly medicalized as family background has an important independent effect on offspring's socioeconimic outcomes.

Socioeconomic position and self-rated health among adolescents: the mediating role of the family

Abstract Background Although health inequalities in adolescence are well documented, the underlying mechanisms remain unclear. Few studies have examined the role of the family in explaining adolescents’ health inequalities. The study aimed to explore whether the association between socioeconomic position and self-rated health (SRH) was mediated by familial determinants. Methods Using data from wave 2 of the KiGGS study (1,838 female and 1,718 male 11- to 17-year-olds), linear regression analyses were conducted to decompose the total effects of parents’ education, occupation, income, socioeconomic position index, and adolescents’ subjective social status on SRH into direct effects and indirect effects through familial determinants (family cohesion, parenting styles, parental well-being, stress, obesity, smoking and sporting activity). Results A significant total effect of all socioeconomic position indicators on SRH was found, except for income in male adolescents. In female adolescents, more than 70% of the total effects of each socioeconomic position indicator were explained by familial mediators, whereas no significant direct effects remained. The most important mediator was parental well-being, followed by family cohesion, parental smoking and sporting activity. In male adolescents, the associations of parental education, the socioeconomic position index and subjective social status with SRH were also mediated by familial determinants (family cohesion, parental smoking and obesity). However, a significant direct effect of subjective social status remained. Conclusions The family appears to play an important role in explaining health inequalities, particularly in female adolescents. Reducing health inequalities in adolescence requires policy interventions, community-based strategies, as well as programs to improve parenting and family functioning.

Ethnic and Sexual Identity-Related Inequalities in Adolescent Health and Well-Being in a National Population-Based Study.

Purpose: This study employed an intersectional framework to examine impact of inequalities related to sexual minority (SM) and ethnic minority (EM) identities in risk for health, well-being, and health-related behaviors in a nationally representative sample. Methods: Participants included 9789 (51% female) adolescents aged 17 years from the U.K.-wide Millennium Cohort Study, with data on self-identified sexual and ethnic identities. Adolescents were grouped into White heterosexual, White-SM, EM-heterosexual, and EM-SM categories. Questionnaires assessed mental health (e.g., self-reported psychological distress, doctor-diagnosed depression, attempted suicide), general health (self-rated health, chronic illness, body mass index), and health-related behaviors (e.g., smoking, substance use). Associations were analyzed using multivariable logistic regression. Results: SM individuals (White: 18% and EM: 3%) had increased odds for mental health difficulties and attempted suicide, with higher odds for White-SM individuals than for EM-SM individuals. Compared with White heterosexual individuals, White-SM and EM-SM individuals had higher risk for psychological distress (adjusted odds ratios [OR] 3.47/2.24 for White-SM/EM-SM, respectively) and emotional symptoms (OR 3.17/1.65). They had higher odds for attempted suicide (OR 2.78/2.02), self-harm (OR 3.06/1.52), and poor sleep quality (OR 1.88/1.67). In contrast, the White heterosexual and White-SM groups had similarly high proportions reporting risky behaviors except for drug use (OR 1.45) and risky sex (OR 1.40), which were more common in White-SM individuals. EM-heterosexual and EM-SM individuals had decreased odds for health-related behaviors. Conclusion: SM (White and EM) individuals had substantially worse mental health compared with heterosexual peers. Adverse health-related behaviors were more common in White-SM individuals. Investigation into the mechanisms leading to these differences is needed.

Socioeconomic position and self-rated health among female and male adolescents: The role of familial determinants in explaining health inequalities. Results of the German KiGGS study.

ObjectiveAlthough health inequalities in adolescence are well documented, the underlying mechanisms remain unclear. Few studies have examined the role of the family in explaining the association between the family’s socioeconomic position and adolescents’ self-rated health. The current study aimed to explore whether the association between socioeconomic position and self-rated health was mediated by familial determinants.MethodsUsing data from wave 2 of the”German Health Interview and Examination Survey for Children and Adolescents” (KiGGS) (1,838 female and 1,718 male 11- to 17-year-olds), linear regression analyses were conducted to decompose the total effects of income, education, occupational status, socioeconomic position index and adolescents’ subjective social status on self-rated health into direct effects and indirect effects through familial determinants (family cohesion, parental well-being, parental stress, parenting styles, parental obesity, smoking and sporting activity).ResultsA significant total effect of all socioeconomic position indicators on self-rated health was found, except for income in male adolescents. In female adolescents, more than 70% of the total effects of each socioeconomic position indicator were explained by familial mediators, whereas no significant direct effects remained. The most important mediator was parental well-being, followed by family cohesion, parental smoking and sporting activity. In male adolescents, the associations between income, parental education, the socioeconomic position index and subjective social status were also mediated by familial determinants (family cohesion, parental smoking, obesity and living in a single-mother family). However, a significant direct effect of subjective social status remained.ConclusionThe analysis revealed how a family’s position of socioeconomic disadvantage can lead to poorer health in adolescents through different family practices. The family appears to play an important role in explaining health inequalities, particularly in female adolescents. Reducing health inequalities in adolescence requires policy interventions (macro-level), community-based strategies (meso-level) and programs to improve parenting and family functioning (micro-level).

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.

Trends in gender and socioeconomic inequalities in adolescent health over 16 years (2002-2018): findings from the Canadian Health Behaviour in School-aged Children study.

Monitoring health inequalities in adolescents informs policy approaches to reducing these inequalities early in the life course. The purpose of this study was to investigate trends in gender and socioeconomic inequalities in six health domains. Data were from five quadrennial survey cycles of the Health Behaviour in School-aged Children (HBSC) study in Canada (pooled n = 94 887 participants). Differences in health between socioeconomic groups (based on material deprivation) and between genders were assessed using slope and relative indices of inequality in six health domains: daily physical activity, excess body weight, frequent physical symptoms, frequent psychological symptoms, low life satisfaction, and fair or poor self-rated health. Over a 16-year period, adolescents in Canada reported progressively worse health in four health domains, with those at the lowest socioeconomic position showing the steepest declines. Socioeconomic differences increased in excess body weight, physical symptoms, low life satisfaction, and fair or poor health. Gender differences also increased. Females showed poorer health than males in all domains except excess body weight, and gender differences increased over time in physical symptoms, psychological symptoms and low life satisfaction. Socioeconomic and gender inequalities in health are persistent and widening among adolescents in Canada. Policies that address material and social factors that contribute to health disparities in adolescence are warranted.

National level wealth inequality and socioeconomic inequality in adolescent mental wellbeing

Abstract Background Previous research established a positive association between national income inequality and socioeconomic inequalities in adolescent health, but little is known about the extent to which national level inequalities in accumulated financial resources (i.e. wealth) are associated with these health inequalities. Therefore, we examined the association between national wealth inequality and income inequality and socioeconomic inequalities in adolescent mental wellbeing. Methods Data were from 17 countries participating in three successive waves (2010, 2014 and 2018) of the cross-sectional Health Behaviour in School-aged Children (HBSC) study. We combined individual-level data on adolescents' life satisfaction, psychological and somatic symptoms and socioeconomic status (SES) with country-level data on income and wealth inequality (n = 244771). We performed time-series analysis 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 wellbeing, associations are in opposite directions. Further research is warranted to gain better understanding in the role of national wealth inequality on (socioeconomic inequalities in) adolescent health. Key messages This is one of the first studies to examine if socioeconomic inequalities in adolescent mental wellbeing are associated with national wealth inequality independently from national income inequality. Opposing effects of national wealth inequality and income inequality on socioeconomic inequalities in adolescents’ mental wellbeing warrant further research before policy recommendations can be made.

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

PurposeAlthough 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. MethodsData 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. ResultsHigher 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. ConclusionsAlthough 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.

Cultural values and adolescents’ health inequalities in 21 European countries

Abstract Background culture is believed to have an important impact on health and health inequalities and this may vary between countries. Empirical data are however scarce, especially in adolescent populations. We examined the impact of cultural values (emancipatory values index) on cross-national variations in adolescent health, health inequalities and evolutions in these inequalities. Methods individual-level data from 21 countries participating in the 2002/2006/2010/2014 waves of the Health Behaviour in School-aged Children (HBSC) study were combined with country-level data from the World Values Longitudinal Dataset (n = 416777). Multilevel linear and logistic regression analyses were performed accounting for the hierarchical data structure (individual, country-year and country level). Results cultural value differences between countries were weakly related to adolescents’ health and health behaviour but had a profound impact on the magnitude of inequalities. In countries characterised by a high level of emancipatory values, material (family affluence-based) inequalities in both health and health behaviours tended to be lower whereas non-material (occupational social class-based) inequalities tended to be higher, in particular for health behaviours. Preliminary results also indicated that cultural value differences between countries may play a significant role in the evolution of adolescent health inequalities. Conclusions our findings suggest that between-countries’ cultural value differences may partly explain cross-national variations in adolescents’ health inequalities and in the evolution of these inequalities. By identifying cultural value differences in health, health inequalities and evolutions in health inequalities, this study helps informing policies better to tackle these inequalities. Key messages Cultural value differences between countries have a profound impact on the magnitude of inequalities in adolescents’ health and health behaviours and on the evolution of these inequalities. Identifying cultural value differences in adolescents’ health, health inequalities and evolutions in these inequalities is necessary to inform policies better to tackle these inequalities.

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

BackgroundAlthough 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...

Progress and setbacks in socioeconomic inequalities in adolescent health-related behaviours in Brazil: results from three cross-sectional surveys 2009–2015

ObjectivesDespite some progress, Brazil is still one of the most unequal countries, and the extent of socioeconomic inequalities in adolescent health is unclear. We assessed trends in socioeconomic inequalities in...

Systematic underestimation of social inequalities in adolescent health in 24 countries 2002-2014

Systematic underestimation of social inequalities in adolescent health in 24 countries 2002-2014

Systematic underestimation of social inequalities in adolescent health in 24 countries 2002-2014

Systematic underestimation of social inequalities in adolescent health in 24 countries 2002-2014

Socioeconomic inequalities in health among Swedish adolescents - adding the subjective perspective

BackgroundSocioeconomic inequalities in adolescent health predict future inequalities in adult health. Subjective measures of socioeconomic status (SES) may contribute with an increased understanding of these inequalities. The aim of this study was to investigate socioeconomic health inequalities using both a subjective and an objective measure of SES among Swedish adolescents.MethodCross-sectional HBSC-data from 2002 to 2014 was used with a total sample of 23,088 adolescents aged 11–15 years. Three measures of self-rated health (dependent variables) were assessed: multiple health complaints, life satisfaction and health perception. SES was measured objectively by the Family Affluence Scale (FAS) and subjectively by “perceived family wealth” (independent variables). The trend for health inequalities was investigated descriptively with independent t-tests and the relationship between independent and dependent variables was investigated with multiple logistic regression analysis. Gender, age and survey year was considered as possible confounders.ResultsSubjective SES was more strongly related to health outcomes than the objective measure (FAS). Also, the relation between FAS and health was weakened and even reversed (for multiple health complaints) when subjective SES was tested simultaneously in regression models (FAS OR: 1.03, CI: 1.00;1.06 and subjective SES OR: 0.66, CI: 0.63;0.68).ConclusionsThe level of socioeconomic inequalities in adolescent health varied depending on which measure that was used to define SES. When focusing on adolescents, the subjective appraisals of SES is important to consider because they seem to provide a stronger tool for identifying inequalities in health for this group. This finding is important for policy makers to consider given the persistence of health inequalities in Sweden and other high-income countries.

Measuring the Socioeconomic Position of Adolescents: A Proposal for a Composite Index

Despite evidence that socioeconomic inequalities impact health, studies on adolescents are limited and often show contradictory results depending on the measures employed to evaluate socioeconomic position. Little research has focused on the differential impact of each indicator on adolescent health, and few measures have been developed that provide a global evaluation. In this research, the relationship between classic socioeconomic indicators (education and occupation) and others that have been proposed more recently (family affluence scale and subjective family wealth) is analysed. A composite global score of socioeconomic position is also presented, based on the principal objective dimensions: parental education, parental occupation and family material wealth. Data were collected in Spain, in 2014, within the framework of the Health Behaviour in School-aged Children study, from a representative national sample of 8739 adolescents aged between 11 and 16 (mean = 13.72, SD = 1.71). The results contribute to resolving methodological difficulties associated with the evaluation of adolescent socioeconomic position, showing the unidimensionality of a global measure of objective wealth and demonstrating it to be a useful instrument for assessing the socioeconomic position in health inequalities research. The subjective perception of wealth presented a similar, and even higher, association with health than the objective measures. However, low correlations between perceived family wealth and the objective socioeconomic indicators (oscillating between .110 and .299) proved to measure a different construct, and thus was not included in the composite measure for assessing the adolescents’ objective socioeconomic position. Results highlighted the importance of including different indicators for measuring socioeconomic inequalities in adolescent health.

Adolescents' psychological health during the economic recession: does public spending buffer health inequalities among young people?

BackgroundMany OECD countries have replied to economic recessions with an adaption in public spending on social benefits for families and young people in need. So far, no study has examined the impact of public social spending during the recent economic recession on health, and social inequalities in health among young people. This study investigates whether an increase in public spending relates to a lower prevalence in health complaints and buffers health inequalities among adolescents.MethodsData were obtained from the 2009/2010 “Health Behaviour in School-aged Children (HBSC)” study comprising 11 – 15-year-old adolescents from 27 European countries (N = 144,754). Socioeconomic position was measured by the Family Affluence Scale (FAS). Logistic multilevel models were conducted for the association between the absolute rate of public spending on family benefits per capita in 2010 and the relative change rate in family benefits (2006–2010) in relation to adolescent psychological health complaints in 2009/2010.ResultsThe absolute rate of public spending on family benefits in 2010 did not show a significant association with adolescents’ psychological health complaints. Relative change rates of public spending on family benefits (2006–2010) were related to better health. Greater socioeconomic inequalities in psychological health complaints were found for countries with higher change rates in public spending on family benefits (2006–2010).ConclusionsThe results partially support our hypothesis and highlight that policy initiatives in terms of an increase in family benefits might partially benefit adolescent health, but tend to widen social inequalities in adolescent health during the recent recession.Electronic supplementary materialThe online version of this article (doi:10.1186/s12889-016-3551-6) contains supplementary material, which is available to authorized users.

The emergence of health inequalities in early adulthood: evidence on timing and mechanisms from a West of Scotland cohort

BackgroundEvidence is inconsistent as to whether or not there are health inequalities in adolescence according to socio-economic position (SEP) and whether or when they emerge in early adulthood. Despite the large health inequalities literature, few studies have simultaneously compared the relative importance of ‘health selection’ versus ‘social causation’ at this life-stage. This study followed a cohort through the youth-adult transition to: (1) determine whether, and if so, when, health inequalities became evident according to both class of origin and current SEP; (2) compare the importance of health selection and social causation mechanisms; and (3) investigate whether these phenomena vary by gender.MethodsData are from a West-of-Scotland cohort, surveyed five times between age 15 (in 1987, N=1,515, response=85%) and 36. Self-reported physical and mental health were obtained at each survey. SEP was based on parental occupational class at 15, a combination of own education or occupational status at 18 and own occupational class (with an additional non-employment category) at older ages. In respect of when inequalities emerged, we used the relative index of inequality to examine associations between both parental and own current SEP and health at each age. In respect of mechanisms, path models, including SEP and health at each age, investigated both inter and intra-generational paths from SEP to health (‘causation’) and from health to SEP (‘selection’). Analyses were conducted separately for physical and mental health, and stratified by gender.ResultsAssociations between both physical and mental health and parental SEP were non-significant at every age. Inequalities according to own SEP emerged for physical health at 24 and for mental health at 30. There was no evidence of selection based on physical health, but some evidence of associations between mental health in early adulthood and later SEP (intra-generational selection). Paths indicated intra-generational (males) and inter-generational (females) social causation of physical health inequalities, and intra-generational (males and females) and inter-generational (females) social causation of mental health inequalities.ConclusionsThe results suggest complex and reciprocal relationships between SEP and health and highlight adolescence and early adulthood as a sensitive period for this process, impacting on future life-chances and health.Electronic supplementary materialThe online version of this article (doi:10.1186/s12889-015-2674-5) contains supplementary material, which is available to authorized users.