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Class-based perspectives on the persistent social gradients in health within modern welfare states largely focus on the adverse consequences of unfettered neoliberalism and entrenched meritocratic socioeconomic selection. Namely, neoliberal-driven economic inequality has fuelled resentment and stress among lower-status groups, while these groups have become more homogeneous with regard to health behaviours and outcomes. We synthesise several sociological and historical literatures to argue that, in addition to these class-based explanations, socioeconomic inequality may contribute to persistent social gradients in health due to elite class self-interest-in particular elites' preferences for overdiagnosis, overprescription and costly high-technology medical treatments over disease prevention, and for increased tolerance for regulatory capture. We demonstrate that this self-interest provides parsimonious explanations for several contemporary trends in U.S. health inequality including (A) supply-side factors in drug-related deaths, (B) longitudinal trends in the social gradients of obesity and chronic disease mortality and (C) the immigrant health advantage. We conclude that sociological theories of elite class self-interest usefully complement theories of the psychosocial effects of neoliberalism and of meritocratic social selection while answering recent calls for research on the role advantaged groups play in generating inequalities in health, and for research that moves beyond technological determinism in health sociology.

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BACKGROUND: The positive association of health with education level and socioeconomic status (SES) is well-established. Two theoretical frameworks have been delineated to understand main mechanisms leading to socioeconomic health inequalities: social causation and health selection but how these work in adolescence is poorly known. We studied if adolescent health and health behaviours predict higher education and higher SES in adulthood and if family background and school performance in adolescence explain these associations. METHODS: Surveys on health and health behaviours were sent to representative samples of 12-18-year-old Finns in 1981-1997 every second year (response rate 77.8%, N = 55,682). The survey data were linked with the respondents' and their parents' socioeconomic data from the Finnish national registries. Both latent variables, namely, health (perceived health, health complaints, chronic disease), health-compromising behaviours (smoking status, drunkenness frequency), and family background (parents' occupation-based SES, education, family type) and variables directly measuring health-enhancing behaviours (toothbrushing, physical activity) and school performance were used to predict higher education and higher occupation-based SES at age 34. Logistic regression analysis and structural equation models (SEM) were used. RESULTS: In logistic regression analyses, good health, health-enhancing behaviours, and lack of health-compromising behaviours were related to higher education and SES, also after controlling for family background and school performance. In the SEM analyses, good health, health-enhancing behaviours, and lack of health-compromising behaviours directly predicted higher SES and higher education, although the standardised coefficients were low (from 0.034 to 0.12). In all models, health, lack of health-compromising behaviours, and health-enhancing behaviours predicted school performance, which in turn, predicted the outcomes, suggesting indirect routes to these. Good socioeconomic prospects in terms of family background predicted good health, healthy behaviours, and good school performance in adolescence and higher SES and higher education in adulthood. CONCLUSION: Health and health behaviours in adolescence predicted education and SES in adulthood. Even though the relationships were modest, they support the health selection hypotheses and emphasise the importance of adolescence for health inequalities during the life-course. Health and health behaviours were strongly associated with school performance and family background which together modified the paths from health and health behaviours to the outcomes.

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People with health problems experience various labor market disadvantages, such as hiring discrimination and heightened risk of firing, but the impact of deteriorating economic conditions on health-related labor market mobility remains poorly understood. The strength of the downturn/crisis will most likely make a difference. During minor downturns, when few employees are made redundant, health-related exit may occur frequently since employers prefer to keep those with good health on the payroll. However, during major economic crises, when large-scale downsizing and firm closures abound, there will be less discretionary room for employers. Thus, some mechanisms that usually are damaging for people with health problems (e.g., seniority rules and negative connotations), can be neutralized, ultimately leading to smaller health differentials in labor market outcomes. The current study used population-wide administrative register data, covering the years 2013-2021, to examine health-related exit from employment (to unemployment/social assistance) before and during the COVID-19 pandemic in Norway. The pandemic spurred a major crisis on the Norwegian labor market and led to a record-high unemployment rate of 10.6 percent in March 2020. Restricting the analytical samples to labor market insiders, linear probability models showed that previous recipients of health-related benefits had a higher unemployment likelihood in the pre-crisis year 2019. The relative importance of poor health changed non-negligibly, however, during the COVID-19 pandemic. When identical statistical analyses were run on the crisis year 2020, health-related exit from employment was dampened. Yet, this labor market equalization was not followed by smaller health differentials in work income in 2021, mainly because people with good health retained or regained decent-paying jobs when the economic conditions improved again. In conclusion, major economic crises can lead to an equalization of labor market disadvantages for people with health problems, but health-related inequalities may reemerge when the economy recovers.

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Migrants have been theorized to be healthier than their non-migrant counterparts; however, there is limited examination of health selection using binational data and how selection occurs, particularly for mental health outcomes. This study examines the role of visa status and financial strain as critical factors for mental health selection among Filipino migrants to the U.S. and non-migrants who remain in the Philippines. We used the baseline data from the Health of Philippine Emigrants Study (HoPES; n = 1631) to compare depressive symptoms between non-migrants and migrants who were both surveyed prior to their departure to the U.S. We assessed depressive symptoms using linear regression by migration status, financial strain, and by visa categories including fiancée/marriage, unlimited family reunification, limited family reunification, and employment. Overall, all migrants reported lower depressive symptoms than non-migrants; however, depressive symptoms varied by visa type. Fiancée/marriage migrants had lower depressive symptoms than compared to limited family reunification migrants. Additionally, those who reported financial strain had higher depressive symptoms than those without any financial strain. We find that migrants were positively selected for mental health using a unique sample of Filipino migrants before they left for the U.S.

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Global urbanization has sparked substantial environmental, public health, and social science research on the importance of conserving and propagating natural environments. A large subset of this work focuses on the benefits of green space for health. An often-overlooked methodological concern when examining relations between green space and health, however, involves residential self-selection. The selective movement of individuals into greener neighborhoods on the basis of preexisting health and correlated social factors may bias associations, particularly in cross-sectional studies, which predominate existing green space/health research. To quantify the extent of residential self-selection bias, this study used a longitudinal sibling comparison design with repeated individual and neighborhood measures to estimate associations between pre-move health factors, including maternal body mass index (BMI) and infant birthweight, and post-move neighborhood green space in a residentially mobile sample of mothers in California, 2007 to 2015 (n = 288,333). Results show that better health before moving predicted higher levels of neighborhood green space after moving, providing evidence of health selection. Findings also indicate some support for differential health selection into neighborhood green space by race/ethnicity, including that evidence of selection emerges for white and Hispanic, but not Black, mothers. However, weak relations between pre-move individual factors and post-move neighborhood green space across analyses suggest that potential bias due to residential self-selection appears relatively minimal in a large, diverse, and highly mobile sample of families in California. Findings support calls to increase green space in historically marginalized neighborhoods as a means to promote environmental and health equity.

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OBJECTIVE: To examine the pathways between life course socioeconomic position (SEP) and general and oral health, assessing the role of two competing theories, social causation and health selection, on a representative sample of individuals aged 50 years and over in England. METHODS: Secondary analysis from the English Longitudinal Study of Ageing Wave 3 data (n = 8659). Structural equation models estimated the social causation pathways from childhood SEP to adult self-rated general health and total tooth loss, and the health selection pathways from childhood health to adult SEP. RESULTS: There were direct and indirect (primarily via education, but also adult SEP, and behavior) pathways from childhood SEP to both health outcomes in older adulthood. There was a direct pathway from childhood health to adult SEP, but no indirect pathway via education. The social causation path total effect estimate was three times larger for self-rated general health and four times larger for total tooth loss than the health selection path respective estimates. CONCLUSIONS: The relationship between SEP and health is bidirectional, but with a clearly stronger role for the social causation pathway.

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Across the United States, residents of lower income neighborhoods evince poorer health, on average, than residents of more affluent areas. Studies aiming to explain this pattern have focused largely on the effects of neighborhood characteristics on residents' health, often overlooking the possibility that the reverse causal process-that a person's health impacts where they live, or "health selection into neighborhoods"-also plays a role. We investigated processes of health selection using the Panel Study of Income Dynamics, a longitudinal survey of U.S. households. Using ordinary least squares linear regression, we estimated the effect of householders' self-rated health on their neighborhood socioeconomic status (SES, the Census tract-level family poverty rate) in 2013, adjusting for neighborhood SES and health in 2001 as well as sociodemographic characteristics and residential mobility. Poorer health was associated with residence in higher poverty neighborhoods overall. Stratified models indicated that while health selection was observed across both race/ethnicity and class boundaries, the relationship between poor health and neighborhood poverty was stronger among non-Hispanic Black respondents, those with low income, and respondents who either moved moderate distances or did not move at all during the study period. We conclude with a call for future work exploring the mechanisms leading those in worse health to reside in higher poverty neighborhoods, and for public health policies that seek not only to improve health supporting conditions in economically disadvantaged neighborhoods, but that also support the economic and social needs of residents struggling with health problems.

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Measuring immigrant health selection is crucial for understanding population health in immigrant-receiving countries. Recently, studies have measured health selection using respondents' perceptions of their health in comparison with those in their home countries. Yet we do not know how well this measure captures health selection. Using the New Immigrant Survey, the authors visualize respondents' self-reported levels of health selection stratified by self-rated health and by sending country. The visualization indicates that immigrants from the same country who rate their health the same still give very different answers when asked to compare their health with those in their home countries. These variations were observed for immigrants from all top five sending countries and at every level of self-reported health but are much larger among those who rate their health less favorably. Overall, the present findings signal that U.S. immigrants have highly heterogeneous perceptions of how selected they are.

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Neighborhood effects research is plagued by the inability to circumvent selection effects -the process of people sorting into neighborhoods. Data from two British Birth Cohorts, 1958 (ages 16, 23, 33, 42, 55) and 1970 (ages 16, 24, 34, 42), and structural equation modelling, were used to investigate life course relationships between body mass index (BMI) and area deprivation (addresses at each age linked to the closest census 1971-2011 Townsend score [TOWN], re-calculated to reflect consistent 2011 lower super output area boundaries). Initially, models were examined for: (1) area deprivation only, (2) health selection only and (3) both. In the best-fitting model, all relationships were then tested for effect modification by residential mobility by inclusion of interaction terms. For both cohorts, both BMI and area deprivation strongly tracked across the life course. Health selection, or higher BMI associated with higher area deprivation at the next study wave, was apparent at three intervals: 1958 cohort, BMI at age 23 y and TOWN at age 33 y and BMI at age 33 y and TOWN at age 42 y; 1970 cohort, BMI at age 34 y and TOWN at age 42 y, while paths between area deprivation and BMI at the next interval were seen in both cohorts, over all intervals, except for the association between TOWN at age 23 y and BMI at age 33 y in the 1958 cohort. None of the associations varied by moving status. In conclusion, for BMI, selective migration does not appear to account for associations between area deprivation and BMI across the life course.

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BACKGROUND: The literature identifies a strong relationship between mental health and income, but there is little research that clarifies the directional association between household income and self-perceived mental health (SPMH) overtime either at between-perso+n or within-person levels. This study investigates whether higher income predicts better SPMH overtime and poor SPMH predicts lower income overtime both at between-person or within-person levels. METHODS: Data analyzed was from the Montreal Southwest Social and Psychiatric Epidemiology Catchment Area study (ZEPSOM), a longitudinal community-based cohort. The baseline survey was conducted in 2007/8 with follow-up every two years. We traced a total of 3464 participants over a period of 8 years. To examine the associations between income and SPMH at both between-person or within-person levels, cross-lagged panel models (CLPMs) and random intercept cross-lagged panel models (RI-CLPMs) were used. Gender and age effects were examined using multiple group analyses. Complete case analyses evaluated the findings' robustness. RESULTS: At between-person levels, higher household income predicted higher SPMH, but not vice versa. These associations were stronger among men and older adults. At within-person levels, higher income did not predict higher SPMH. No significant gender- or age- group differences were observed. Complete case analyses supported the findings. LIMITATIONS: Loss to follow-up may affect the generalizability of the research findings. CONCLUSIONS: This study suggests that higher household income predicts higher SPMH at between-person levels. Policy and programs aiming at promoting mental health should focus on low-income individuals, especially men and older adults.

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We study health selection in rural-urban migration in Finland using register data. Specifically, we ask whether 'movers' differ from 'stayers' in their use of special health care services prior to moving. We focus on migration to twelve growing urban centres in different sub-groups of the population as well as in different regions, using multinomial logistic regression and multilevel modelling and by distinguishing between short- and long-distance moves. The results show that urban centres attract healthier individuals, while people with health problems are also prone to move, but not to urban centres. The results were similar when looking only at psychiatric diagnoses. The findings suggest that it is important to distinguish between different types of moves when studying health-selective migration. Studying the patterns of migration according to health enables us to understand drivers of regional health differences. Moreover, such evidence will help in projecting future demand for healthcare across the country.

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Aim: This study estimated (i) the risk function between different indicators of alcohol use and long-term sickness absence, adjusting for possible confounding factors, (ii) whether the risk function between average volume of consumption and sickness absence is modified by heavy episodic drinking (HED), and (iii) to what extent the risk for sickness absence among abstainers is due to health selection bias. Data and methods: The study was based on data from the Stockholm Public Health Cohort 2006, with an analytical sample of 16,477 respondents aged 18-64 years. The outcome included register-based long-term (> 14 days) sickness absence. Negative binominal regression was used to estimate the association between sickness absence and average weekly volume of consumption, frequency of HED, and both in interaction. Results: Abstainers, chronic heavy drinkers and respondents with the highest frequency of HED had approximately two-fold higher rates of sickness absence relative to the reference groups, i.e., moderate drinkers and those with HED one to 6 times per year. Adjustment for confounding factors did not materially affect the shape of the risk function. After exclusion of abstainers with alcohol-related problems, or poor health, the estimates for abstainers became non-significant. Moderate drinkers with HED did not have significantly higher rates of sickness absence than moderate drinkers without HED. Conclusions: Our results suggest a significant association between alcohol use and sickness absence. There were indications that the U-shaped risk function may largely be due to health selection bias among abstainers. We found no indication of effect modification of HED on moderate drinking.

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This article reconsiders the role of social origin in health selection by examining whether parental education moderates the association between early health and educational attainment and whether health problems mediate the intergenerational transmission of education. We used longitudinal register data on Finns born in 1986-1991 (n = 352,899). We measured the completion of secondary and tertiary education until age 27 and used data on hospital care and medication reimbursements to assess chronic somatic conditions, frequent infections, and mental disorders at ages 10-16. We employed linear probability models to estimate the associations between different types of health problems and educational outcomes and to examine moderation by parental education, both overall in the population and comparing siblings with and without health problems. Finally, we performed a mediation analysis with g-computation to simulate whether a hypothetical eradication of health problems would weaken the association between parental and offspring education. All types of health problems reduced the likelihood of secondary education, but mental disorders were associated with the largest reductions. Among those with secondary education, there was further evidence of selection to tertiary education. High parental education buffered against the negative impact of mental disorders on completing secondary education but exacerbated it in the case of tertiary education. The simulated eradication of health problems slightly reduced disparities by parental education in secondary education (up to 10%) but increased disparities in tertiary education (up to 2%). Adolescent health problems and parental education are strong but chiefly independent predictors of educational attainment.

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This study proposes that visa status is an important construct that is central to understanding how health selection occurs among immigrants. We used the 2017 baseline survey data of the Health of Philippine Emigrants Study (n = 1,632) to compare the health of nonmigrants remaining in the Philippines and migrants surveyed prior to migration to the United States. Furthermore, we compared migrant health by visa type: limited family reunification, unlimited family reunification, fiancé(e)/marriage, and employment. Migrants reported fewer health conditions than nonmigrants overall. However, health varied among migrants by visa type. Migrants with fiancé(e)/marriage visas were the healthiest, reporting significantly fewer health conditions than the other groups. Limited family reunification migrants reported more health conditions than nonmigrants and unlimited family reunification migrants. We discuss how the immigration visa process reflects broader forms of social and political stratification that cause heterogeneity in immigrant health selection.

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BACKGROUND: The health selection hypothesis suggests that poor health leads to low educational attainment during the life course. Adolescence is an important period as poor health might prevent students from making the best educational choices. We test if health in adolescence is associated with educational aspirations and whether these associations persist over and above sociodemographic background and academic achievement. METHODS: Using classroom surveys, a cohort of students (n = 5.614) from the Helsinki Metropolitan Region was followed from the 7th (12-13 years,) up to the 9th grade (15-16 years) when the choice between the academic and the vocational track is made in Finland. Health factors (Strengths and Difficulties Questionnaire (SDQ), self-rated health, daily health complaints, and long-term illness and medicine prescribed) and sociodemographic background were self-reported by the students. Students' educational aspirations (applying for academic versus vocational track, or both) and their academic achievement were obtained from the Joint Application Registry held by the Finnish National Agency for Education. We conducted multilevel multinomial logistic regression analyses, taking into account that students are clustered within schools. RESULTS: All studied health factors were associated with adolescents' educational aspirations. For the SDQ, daily health complaints, and self-rated health these associations persisted over and above sociodemographic background and academic achievement. Students with better health in adolescence were more likely to apply for the academic track, and those who were less healthy were more likely to apply for the vocational track. The health in the group of those students who had applied for both educational tracks was in between. Inconsistent results were observed for long-term illness. We also found robust associations between educational aspirations and worsening health from grade 7 to grade 9. CONCLUSIONS: Our findings show that selection by health factors to different educational trajectories takes place at early teenage much before adolescents choose their educational track, thus supporting the health selection hypothesis in the creation of socioeconomic health inequalities. Our findings also show the importance of adolescence in this process. More studies are needed to reveal which measures would be effective in helping students with poor health to achieve their full educational potential.

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Higher employment rates among vulnerable groups is an important policy goal; it is therefore vital to examine which social policies, or mix of policies, are best able to incorporate vulnerable groups - such as people with ill health - into the labor market. We examine whether 2 "flexicurity" countries, Denmark and the Netherlands, have less labor market exclusion among people with ill health compared to the neighboring countries of Norway and Belgium. We analyze the 2 country pairs of Denmark-Norway and the Netherlands-Belgium using OLS regressions and propensity score kernel matching of EU-SILC panel data (2010-2013). Both unemployment and disability likelihood is remarkably similar for people with ill health across the 4 countries, despite considerable social policy differences. There are 3 possible explanations for the observed cross-national similarity. First, different social policy combinations could lead toward the same employment outcomes for people with ill health. Second, most policy instruments are located on the supply side, and demand side reasons for the observed "employment penalty" (e.g., employer skepticism/discrimination) are often neglected. Third, it is too demanding to hold (full-time) employment for a sizeable proportion of those who have poor health status.

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BACKGROUND AND OBJECTIVES: Guided by cumulative inequality theory, this study poses two main questions: (a) Does women's poor health compromise household financial assets? (b) If yes, is wealth sensitive to the timing of women's health limitations? In addressing these questions, we consider the effect of health limitations on wealth at older ages, as well as examine how health limitations influence wealth over particular segments of the life course, giving attention to both the onset and duration of health limitations. RESEARCH DESIGN AND METHODS: Using 36 years of data from the National Longitudinal Survey of Mature Women, piecewise growth curve and linear regression models were used to estimate the effects of life course timing and duration of health limitations on household wealth. RESULTS: The findings reveal that women who experienced health limitations accumulated substantially less wealth over time, especially if the health limitations were manifest during childhood or early adulthood. DISCUSSION AND IMPLICATIONS: This study identifies how early-life health problems lead to less wealth in later life.

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Despite acquiring lower levels of attainment and earnings, Mexican immigrants exhibit favorable health outcomes relative to their native-born counterparts. And while scholars attempt to reconcile this so-called paradoxical relationship with a variety of theoretical and empirical approaches, patterns of selective migration continue to receive considerable attention. The present study contributes to the literature on health selection by extending the healthy migrant hypothesis in a number of ways. First, we rely on a unique combination of data sets to assess whether the healthy are disproportionately more likely to migrate. We use the latest wave of the Mexican Family Life Survey and the 2013 Migrante Study, a survey that is representative of Mexican-born persons who are actively migrating through Tijuana. Pooling these data also allow us to differentiate between internal and US-bound migrants to shed light on their respective health profiles. Results provide modest support for the healthy migrant hypothesis. Although those who report better overall health are more likely to migrate, we find that the presence of certain chronic conditions increases migration risk. Our findings also suggest that internal migrants are healthier than those traveling to the US, though this is largely because those moving within Mexico reflect a younger and more educated population. This study takes an important step in uncovering variation across migrant flows and highlights the importance of the timing at which health is measured in the migration process.

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BACKGROUND: Social disadvantage is often associated with worse child psychological adjustment which itself is implicated in educational failure and poor adult social position. The family stress model holds that the association between social disadvantage and psychological adjustment stems from the impact of economic pressure on parental mental health mediated through the parent/child relationship. METHODS: We take advantage of a natural experiment offered by the 'great recession' in Ireland between 2008 and 2012. Structural equation models using causal modelling and Longitudinal data from the Growing Up in Ireland cohort study are used to test whether the experience of recession in families impacts on children's psychological adjustment and whether this occurs directly or is mediated by the processes identified in the family stress model. RESULTS: More than 70% of families experienced a reduction in income between 2008 and 2011 and 26% reported cutting back on basics such as clothing and food. Family experience of recession was significantly associated with negative change in all of the components of the family stress model, particularly parental mental health. However, less than half of the effect of recession was mediated by the processes of the family stress model. Tests showed that a model with a direct effect of recession on child psychological adjustment provided a better fit to the data. CONCLUSIONS: Recession and economic pressure had a significant effect on child psychological adjustment, but only a minority of this effect was indirect via the mental health of parents and parent/child relationship. The family stress model only offers a partial account of the mechanisms through which economic hardship impacts on families and children.

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OBJECTIVES: To quantify how large a part of educational dropout is due to adverse childhood health conditions and to estimate the risk of dropout across various physical and mental health conditions. STUDY DESIGN: A registry-based cohort study was conducted on a 20% random sample of Finns born in 1988-1995 (n = 101 284) followed for school dropout at ages 17 and 21. Four broad groups of health conditions (any, somatic, mental, and injury) and 25 specific health conditions were assessed from inpatient and outpatient care records at ages 10-16 years. We estimated the immediate and more persistent risks of dropout due to health conditions and calculated population-attributable fractions to quantify the population impact of childhood health on educational dropout, while accounting for a wide array of sociodemographic confounders and comorbidity. RESULTS: Children with any health condition requiring inpatient or outpatient care at ages 10-16 years were more likely to be dropouts at ages 17 years (risk ratio 1.71, 95% CI 1.61-1.81) and 21 years (1.46, 1.37-1.54) following adjustment for individual and family sociodemographic factors. A total of 30% of school dropout was attributable to health conditions at age 17 years and 21% at age 21 years. Mental disorders alone had an attributable fraction of 11% at age 21 years, compared with 5% for both somatic conditions and injuries. Adjusting for the presence of mental disorders reduced the effects of somatic conditions. CONCLUSIONS: More than one fifth of educational dropout is attributable to childhood health conditions. Early-onset mental disorders emerge as key targets in reducing dropout.

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