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ObjectiveThis study aimed to examine social gradients in ADHD during late childhood (age 9-11 years) using absolute and relative relationships with socioeconomic status exposure (household income, maternal education) during early childhood (<5 years) in seven cohorts from six industrialised countries (UK, Australia, Canada, The Netherlands, USA, Sweden). MethodsSecondary analyses were conducted for each birth cohort. Risk ratios, pooled risk estimates, and absolute inequality, measured by the Slope Index of Inequality (SII), were estimated to quantify social gradients in ADHD during late childhood by household income and maternal education measured during early childhood. Estimates were adjusted for child sex, mother age at birth, mother ethnicity, and multiple births. FindingsAll cohorts demonstrated social gradients by household income and maternal education in early childhood, except for maternal education in Quebec. Pooled risk estimates, relating to 44,925 children, yielded expected gradients (income: low 1.83(CI 1.38,2.41), middle 1.42(1.13,1.79), high (reference); maternal education: low 2.13(1.39,3.25), middle 1.42(1.13,1.79)). Estimates of absolute inequality using SII showed that the largest differences in ADHD prevalence between the highest and lowest levels of maternal education were observed in Australia (4% lower) and Sweden (3% lower); for household income, the largest differences were observed in Quebec (6% lower) and Canada (all provinces: 5% lower). ConclusionFindings indicate that children in families with high household income or maternal education are less likely to have ADHD at age 9-11. Absolute inequality, in combination with relative inequality, provides a more complete account of the socioeconomic status and ADHD relationship in different high-income countries. While the study design precludes causal inference, the linear relation between early childhood social circumstances and later ADHD suggests a potential role for policies that, Funding Agencies|Canadian Institutes of Health Research [OCO-79897, MOP-89886, MSH-95353, ROG-110537, MOP-123079, HDF70335]; County Council of Ostergotland; Swedish Research Council [K2005-72X-11242-11A, K2008-69X-2082601-4]; Swedish Child Diabetes Foundation (Barndiabetesfonden); Juvenile Diabetes Research Foundation; Wallenberg Foundation [K 98-99D12813-01A]; Medical Research Council of Southeast Sweden(FORSS); Swedish Council for Working Life and Social Research [FAS20041775]; Ostgota Brandstodsbolag; Australian Government Department of Social Services; Australian Institute of Family Studies (AIFS); Australian Bureau of Statistics (ABS); Erasmus Medical Center, Rotterdam; Erasmus University Rotterdam; Netherlands Organisation for Health Research and Development (ZonMw) [ZonMw 907.00303, 916.10159]; Netherlands Organisation for Scientific Research (NWO); Ministry of Health, Welfare and Sport; Ministry of Youth and Families; lInstitut de la statistique du Quebec; Fondation Lucie et Andre Chagnon; Ministere de leducation et de lEnseignement superieur; Ministere de la Sante et des Services sociaux; Ministere de la Famille; GRIP Research Unit on Childrens Psychosocial Maladjustment; QUALITY Cohort Collaborative Group; Centre hospitalier universitaire SainteJustine; Institut de recherche Robert-Sauve en sante et en securite au travail; lInstitut de recherche en sante publique de lUniversite de Montreal; Centre de recherche du Centre hospitalier de lUniversite de Montreal (CRCHUM); Fonds de recherche du Quebec Sante (FRQS); Fonds de recherche du Quebec Socie te et culture (FRQSC); Social Sciences and Humanities Research Council (SSHRC); Human Resources and Skills Development Canada (HRSDC); Canadian Institute for Health Research (CIHR); Canadian Foundation for Innovation (CFI); Statistics Canada; Economic and Social Research Council; Office of National Statistics; U.S. Bureau of Labor Statistics; National Institute for Child Health and Human Development

ObjectiveThis study aimed to examine social gradients in ADHD during late childhood (age 9-11 years) using absolute and relative relationships with socioeconomic status exposure (household income, maternal education) during early childhood (<5 years) in seven cohorts from six industrialised countries (UK, Australia, Canada, The Netherlands, USA, Sweden). MethodsSecondary analyses were conducted for each birth cohort. Risk ratios, pooled risk estimates, and absolute inequality, measured by the Slope Index of Inequality (SII), were estimated to quantify social gradients in ADHD during late childhood by household income and maternal education measured during early childhood. Estimates were adjusted for child sex, mother age at birth, mother ethnicity, and multiple births. FindingsAll cohorts demonstrated social gradients by household income and maternal education in early childhood, except for maternal education in Quebec. Pooled risk estimates, relating to 44,925 children, yielded expected gradients (income: low 1.83(CI 1.38,2.41), middle 1.42(1.13,1.79), high (reference); maternal education: low 2.13(1.39,3.25), middle 1.42(1.13,1.79)). Estimates of absolute inequality using SII showed that the largest differences in ADHD prevalence between the highest and lowest levels of maternal education were observed in Australia (4% lower) and Sweden (3% lower); for household income, the largest differences were observed in Quebec (6% lower) and Canada (all provinces: 5% lower). ConclusionFindings indicate that children in families with high household income or maternal education are less likely to have ADHD at age 9-11. Absolute inequality, in combination with relative inequality, provides a more complete account of the socioeconomic status and ADHD relationship in different high-income countries. While the study design precludes causal inference, the linear relation between early childhood social circumstances and later ADHD suggests a potential role for policies that, Funding Agencies|Canadian Institutes of Health Research [OCO-79897, MOP-89886, MSH-95353, ROG-110537, MOP-123079, HDF70335]; County Council of Ostergotland; Swedish Research Council [K2005-72X-11242-11A, K2008-69X-2082601-4]; Swedish Child Diabetes Foundation (Barndiabetesfonden); Juvenile Diabetes Research Foundation; Wallenberg Foundation [K 98-99D12813-01A]; Medical Research Council of Southeast Sweden(FORSS); Swedish Council for Working Life and Social Research [FAS20041775]; Ostgota Brandstodsbolag; Australian Government Department of Social Services; Australian Institute of Family Studies (AIFS); Australian Bureau of Statistics (ABS); Erasmus Medical Center, Rotterdam; Erasmus University Rotterdam; Netherlands Organisation for Health Research and Development (ZonMw) [ZonMw 907.00303, 916.10159]; Netherlands Organisation for Scientific Research (NWO); Ministry of Health, Welfare and Sport; Ministry of Youth and Families; lInstitut de la statistique du Quebec; Fondation Lucie et Andre Chagnon; Ministere de leducation et de lEnseignement superieur; Ministere de la Sante et des Services sociaux; Ministere de la Famille; GRIP Research Unit on Childrens Psychosocial Maladjustment; QUALITY Cohort Collaborative Group; Centre hospitalier universitaire SainteJustine; Institut de recherche Robert-Sauve en sante et en securite au travail; lInstitut de recherche en sante publique de lUniversite de Montreal; Centre de recherche du Centre hospitalier de lUniversite de Montreal (CRCHUM); Fonds de recherche du Quebec Sante (FRQS); Fonds de recherche du Quebec Socie te et culture (FRQSC); Social Sciences and Humanities Research Council (SSHRC); Human Resources and Skills Development Canada (HRSDC); Canadian Institute for Health Research (CIHR); Canadian Foundation for Innovation (CFI); Statistics Canada; Economic and Social Research Council; Office of National Statistics; U.S. Bureau of Labor Statistics; National Institute for Child Health and Human Development

Background/objectives This study analysed the relationship between early childhood socioeconomic status (SES) measured by maternal education and household income and the subsequent development of childhood overweight and obesity. Subjects/methods Data from seven population-representative prospective child cohorts in six high-income countries: United Kingdom, Australia, the Netherlands, Canada (one national cohort and one from the province of Quebec), USA, Sweden. Children were included at birth or within the first 2 years of life. Pooled estimates relate to a total of N = 26,565 included children. Overweight and obesity were defined using International Obesity Task Force (IOTF) cut-offs and measured in late childhood (8-11 years). Risk ratios (RRs) and pooled risk estimates were adjusted for potential confounders (maternal age, ethnicity, child sex). Slope Indexes of Inequality (SII) were estimated to quantify absolute inequality for maternal education and household income. Results Prevalence ranged from 15.0% overweight and 2.4% obese in the Swedish cohort to 37.6% overweight and 15.8% obese in the US cohort. Overall, across cohorts, social gradients were observed for risk of obesity for both low maternal education (pooled RR: 2.99, 95% CI: 2.07, 4.31) and low household income (pooled RR: 2.69, 95% CI: 1.68, 4.30); between-cohort heterogeneity ranged from negligible to moderate (p: 0.300 to < 0.001). The association between RRs of obesity by income was lowest in Sweden than in other cohorts. Conclusions There was a social gradient by maternal education on the risk of childhood obesity in all included cohorts. The SES associations measured by income were more heterogeneous and differed between Sweden versus the other national cohorts; these findings may be attributable to policy differences, including preschool policies, maternity leave, a ban on advertising to children, and universal free school meals., Funding Agencies|Canadian Institutes of Health Research [OCO-79897, MOP-89886, MSH-95353, ROG-110537]; Linkoping University

Background/objectives This study analysed the relationship between early childhood socioeconomic status (SES) measured by maternal education and household income and the subsequent development of childhood overweight and obesity. Subjects/methods Data from seven population-representative prospective child cohorts in six high-income countries: United Kingdom, Australia, the Netherlands, Canada (one national cohort and one from the province of Quebec), USA, Sweden. Children were included at birth or within the first 2 years of life. Pooled estimates relate to a total of N = 26,565 included children. Overweight and obesity were defined using International Obesity Task Force (IOTF) cut-offs and measured in late childhood (8-11 years). Risk ratios (RRs) and pooled risk estimates were adjusted for potential confounders (maternal age, ethnicity, child sex). Slope Indexes of Inequality (SII) were estimated to quantify absolute inequality for maternal education and household income. Results Prevalence ranged from 15.0% overweight and 2.4% obese in the Swedish cohort to 37.6% overweight and 15.8% obese in the US cohort. Overall, across cohorts, social gradients were observed for risk of obesity for both low maternal education (pooled RR: 2.99, 95% CI: 2.07, 4.31) and low household income (pooled RR: 2.69, 95% CI: 1.68, 4.30); between-cohort heterogeneity ranged from negligible to moderate (p: 0.300 to < 0.001). The association between RRs of obesity by income was lowest in Sweden than in other cohorts. Conclusions There was a social gradient by maternal education on the risk of childhood obesity in all included cohorts. The SES associations measured by income were more heterogeneous and differed between Sweden versus the other national cohorts; these findings may be attributable to policy differences, including preschool policies, maternity leave, a ban on advertising to children, and universal free school meals., Funding Agencies|Canadian Institutes of Health Research [OCO-79897, MOP-89886, MSH-95353, ROG-110537]; Linkoping University

ObjectiveThis study aimed to examine social gradients in ADHD during late childhood (age 9-11 years) using absolute and relative relationships with socioeconomic status exposure (household income, maternal education) during early childhood (<5 years) in seven cohorts from six industrialised countries (UK, Australia, Canada, The Netherlands, USA, Sweden). MethodsSecondary analyses were conducted for each birth cohort. Risk ratios, pooled risk estimates, and absolute inequality, measured by the Slope Index of Inequality (SII), were estimated to quantify social gradients in ADHD during late childhood by household income and maternal education measured during early childhood. Estimates were adjusted for child sex, mother age at birth, mother ethnicity, and multiple births. FindingsAll cohorts demonstrated social gradients by household income and maternal education in early childhood, except for maternal education in Quebec. Pooled risk estimates, relating to 44,925 children, yielded expected gradients (income: low 1.83(CI 1.38,2.41), middle 1.42(1.13,1.79), high (reference); maternal education: low 2.13(1.39,3.25), middle 1.42(1.13,1.79)). Estimates of absolute inequality using SII showed that the largest differences in ADHD prevalence between the highest and lowest levels of maternal education were observed in Australia (4% lower) and Sweden (3% lower); for household income, the largest differences were observed in Quebec (6% lower) and Canada (all provinces: 5% lower). ConclusionFindings indicate that children in families with high household income or maternal education are less likely to have ADHD at age 9-11. Absolute inequality, in combination with relative inequality, provides a more complete account of the socioeconomic status and ADHD relationship in different high-income countries. While the study design precludes causal inference, the linear relation between early childhood social circumstances and later ADHD suggests a potential role for policies that, Funding Agencies|Canadian Institutes of Health Research [OCO-79897, MOP-89886, MSH-95353, ROG-110537, MOP-123079, HDF70335]; County Council of Ostergotland; Swedish Research Council [K2005-72X-11242-11A, K2008-69X-2082601-4]; Swedish Child Diabetes Foundation (Barndiabetesfonden); Juvenile Diabetes Research Foundation; Wallenberg Foundation [K 98-99D12813-01A]; Medical Research Council of Southeast Sweden(FORSS); Swedish Council for Working Life and Social Research [FAS20041775]; Ostgota Brandstodsbolag; Australian Government Department of Social Services; Australian Institute of Family Studies (AIFS); Australian Bureau of Statistics (ABS); Erasmus Medical Center, Rotterdam; Erasmus University Rotterdam; Netherlands Organisation for Health Research and Development (ZonMw) [ZonMw 907.00303, 916.10159]; Netherlands Organisation for Scientific Research (NWO); Ministry of Health, Welfare and Sport; Ministry of Youth and Families; lInstitut de la statistique du Quebec; Fondation Lucie et Andre Chagnon; Ministere de leducation et de lEnseignement superieur; Ministere de la Sante et des Services sociaux; Ministere de la Famille; GRIP Research Unit on Childrens Psychosocial Maladjustment; QUALITY Cohort Collaborative Group; Centre hospitalier universitaire SainteJustine; Institut de recherche Robert-Sauve en sante et en securite au travail; lInstitut de recherche en sante publique de lUniversite de Montreal; Centre de recherche du Centre hospitalier de lUniversite de Montreal (CRCHUM); Fonds de recherche du Quebec Sante (FRQS); Fonds de recherche du Quebec Socie te et culture (FRQSC); Social Sciences and Humanities Research Council (SSHRC); Human Resources and Skills Development Canada (HRSDC); Canadian Institute for Health Research (CIHR); Canadian Foundation for Innovation (CFI); Statistics Canada; Economic and Social Research Council; Office of National Statistics; U.S. Bureau of Labor Statistics; National Institute for Child Health and Human Development

Child dental caries (i.e., cavities) are a major preventable health problem in most high-income countries. The aim of this study was to compare the extent of inequalities in child dental caries across four high-income countries alongside their child oral health policies. Coordinated analyses of data were conducted across four prospective population-based birth cohorts (Australia, n = 4085, born 2004; Quebec, Canada, n = 1253, born 1997; Rotterdam, the Netherlands, n = 6690, born 2002; Southeast Sweden, n = 7445, born 1997), which enabled a high degree of harmonization. Risk ratios (adjusted) and slope indexes of inequality were estimated to quantify social gradients in child dental caries according to maternal education and household income. Children in the least advantaged quintile for income were at greater risk of caries, compared to the most advantaged quintile: Australia: AdjRR = 1.18, 95%CI = 1.04-1.34; Quebec: AdjRR = 1.69, 95%CI = 1.36-2.10; Rotterdam: AdjRR = 1.67, 95%CI = 1.36-2.04; Southeast Sweden: AdjRR = 1.37, 95%CI = 1.10-1.71). There was a higher risk of caries for children of mothers with the lowest level of education, compared to the highest: Australia: AdjRR = 1.18, 95%CI= 1.01-1.38; Southeast Sweden: AdjRR = 2.31, 95%CI = 1.81-2.96; Rotterdam: AdjRR = 1.98, 95%CI = 1.71-2.30; Quebec: AdjRR = 1.16, 95%CI = 0.98-1.37. The extent of inequalities varied in line with jurisdictional policies for provision of child oral health services and preventive public health measures. Clear gradients of social inequalities in child dental caries are evident in high-income countries. Policy related mechanisms may contribute to the differences in the extent of these inequalities. Lesser gradients in settings with combinations of universal dental coverage and/or fluoridation suggest these provisions may ameliorate inequalities through additional benefits for socio-economically disadvantaged groups of children., Funding Agencies|Canadian Institutes of Health Research [MOP-123079, HDF70335, OCO-79897, MOP-89886, MSH-95353, ROG-110537]; Australian Government Department of Social Services; Australian Bureau of Statistics (ABS); Australian Institute of Family Studies (AIFS); Erasmus Medical Center, Rotterdam; Erasmus University Rotterdam; Netherlands Organisation for Health Research and Development (ZonMw) [907.00303, 916.10159]; Netherlands Organisation for Scientific Research (NWO); Ministry of Health, Welfare and Sport; Ministry of Youth and Families; lInstitut de la statistique du Quebec; Fondation Lucie et Andre Chagnon; Ministere de lEducation et de lEnseignement superieur; Ministere de la Santeet des Services sociaux; Ministere de la Famille; GRIP Research Unit on Childrens Psychosocial Maladjustment; QUALITY Cohort Collaborative Group; le Centre hospitalier universitaire SainteJustine; Institut de recherche Robert-Sauveen santeet en securiteau travail; lInstitut de recherche en santepublique de lUniversite de Montreal; Centre de recherche du Centre hospitalier de lUniversite de Montreal (CRCHUM); Fonds de recherche du Quebec Sante (FRQS); Fonds de recherche du Quebec Socie te et culture (FRQSC); Social Sciences and Humanities Research Council (SSHRC); County Council of Ostergotland; Swedish Research Council [K200572X-11242-11A, K2008-69X-20826-01-4]; Swedish Child Diabetes Foundation (Barndiabetesfonden); Juvenile Diabetes Research Foundation; Wallenberg Foundation [K 98-99D12813-01A]; Medical Research Council of Southeast Sweden (FORSS); Swedish Council for Working Life and Social Research [FAS20041775]; Ostgota Brandstodsbolag; Australian National Health and Medical Research Council (NHMRC) Practitioner Fellowship [1155290]; NHMRC Career Development Fellowship [1111160]; Victorian Governments Operational Infrastructure Program

Child dental caries (i.e., cavities) are a major preventable health problem in most high-income countries. The aim of this study was to compare the extent of inequalities in child dental caries across four high-income countries alongside their child oral health policies. Coordinated analyses of data were conducted across four prospective population-based birth cohorts (Australia, n = 4085, born 2004; Quebec, Canada, n = 1253, born 1997; Rotterdam, the Netherlands, n = 6690, born 2002; Southeast Sweden, n = 7445, born 1997), which enabled a high degree of harmonization. Risk ratios (adjusted) and slope indexes of inequality were estimated to quantify social gradients in child dental caries according to maternal education and household income. Children in the least advantaged quintile for income were at greater risk of caries, compared to the most advantaged quintile: Australia: AdjRR = 1.18, 95%CI = 1.04-1.34; Quebec: AdjRR = 1.69, 95%CI = 1.36-2.10; Rotterdam: AdjRR = 1.67, 95%CI = 1.36-2.04; Southeast Sweden: AdjRR = 1.37, 95%CI = 1.10-1.71). There was a higher risk of caries for children of mothers with the lowest level of education, compared to the highest: Australia: AdjRR = 1.18, 95%CI= 1.01-1.38; Southeast Sweden: AdjRR = 2.31, 95%CI = 1.81-2.96; Rotterdam: AdjRR = 1.98, 95%CI = 1.71-2.30; Quebec: AdjRR = 1.16, 95%CI = 0.98-1.37. The extent of inequalities varied in line with jurisdictional policies for provision of child oral health services and preventive public health measures. Clear gradients of social inequalities in child dental caries are evident in high-income countries. Policy related mechanisms may contribute to the differences in the extent of these inequalities. Lesser gradients in settings with combinations of universal dental coverage and/or fluoridation suggest these provisions may ameliorate inequalities through additional benefits for socio-economically disadvantaged groups of children., Funding Agencies|Canadian Institutes of Health Research [MOP-123079, HDF70335, OCO-79897, MOP-89886, MSH-95353, ROG-110537]; Australian Government Department of Social Services; Australian Bureau of Statistics (ABS); Australian Institute of Family Studies (AIFS); Erasmus Medical Center, Rotterdam; Erasmus University Rotterdam; Netherlands Organisation for Health Research and Development (ZonMw) [907.00303, 916.10159]; Netherlands Organisation for Scientific Research (NWO); Ministry of Health, Welfare and Sport; Ministry of Youth and Families; lInstitut de la statistique du Quebec; Fondation Lucie et Andre Chagnon; Ministere de lEducation et de lEnseignement superieur; Ministere de la Santeet des Services sociaux; Ministere de la Famille; GRIP Research Unit on Childrens Psychosocial Maladjustment; QUALITY Cohort Collaborative Group; le Centre hospitalier universitaire SainteJustine; Institut de recherche Robert-Sauveen santeet en securiteau travail; lInstitut de recherche en santepublique de lUniversite de Montreal; Centre de recherche du Centre hospitalier de lUniversite de Montreal (CRCHUM); Fonds de recherche du Quebec Sante (FRQS); Fonds de recherche du Quebec Socie te et culture (FRQSC); Social Sciences and Humanities Research Council (SSHRC); County Council of Ostergotland; Swedish Research Council [K200572X-11242-11A, K2008-69X-20826-01-4]; Swedish Child Diabetes Foundation (Barndiabetesfonden); Juvenile Diabetes Research Foundation; Wallenberg Foundation [K 98-99D12813-01A]; Medical Research Council of Southeast Sweden (FORSS); Swedish Council for Working Life and Social Research [FAS20041775]; Ostgota Brandstodsbolag; Australian National Health and Medical Research Council (NHMRC) Practitioner Fellowship [1155290]; NHMRC Career Development Fellowship [1111160]; Victorian Governments Operational Infrastructure Program

Child dental caries (i.e., cavities) are a major preventable health problem in most high-income countries. The aim of this study was to compare the extent of inequalities in child dental caries across four high-income countries alongside their child oral health policies. Coordinated analyses of data were conducted across four prospective population-based birth cohorts (Australia, n = 4085, born 2004; Quebec, Canada, n = 1253, born 1997; Rotterdam, the Netherlands, n = 6690, born 2002; Southeast Sweden, n = 7445, born 1997), which enabled a high degree of harmonization. Risk ratios (adjusted) and slope indexes of inequality were estimated to quantify social gradients in child dental caries according to maternal education and household income. Children in the least advantaged quintile for income were at greater risk of caries, compared to the most advantaged quintile: Australia: AdjRR = 1.18, 95%CI = 1.04-1.34; Quebec: AdjRR = 1.69, 95%CI = 1.36-2.10; Rotterdam: AdjRR = 1.67, 95%CI = 1.36-2.04; Southeast Sweden: AdjRR = 1.37, 95%CI = 1.10-1.71). There was a higher risk of caries for children of mothers with the lowest level of education, compared to the highest: Australia: AdjRR = 1.18, 95%CI= 1.01-1.38; Southeast Sweden: AdjRR = 2.31, 95%CI = 1.81-2.96; Rotterdam: AdjRR = 1.98, 95%CI = 1.71-2.30; Quebec: AdjRR = 1.16, 95%CI = 0.98-1.37. The extent of inequalities varied in line with jurisdictional policies for provision of child oral health services and preventive public health measures. Clear gradients of social inequalities in child dental caries are evident in high-income countries. Policy related mechanisms may contribute to the differences in the extent of these inequalities. Lesser gradients in settings with combinations of universal dental coverage and/or fluoridation suggest these provisions may ameliorate inequalities through additional benefits for socio-economically disadvantaged groups of children., Funding Agencies|Canadian Institutes of Health Research [MOP-123079, HDF70335, OCO-79897, MOP-89886, MSH-95353, ROG-110537]; Australian Government Department of Social Services; Australian Bureau of Statistics (ABS); Australian Institute of Family Studies (AIFS); Erasmus Medical Center, Rotterdam; Erasmus University Rotterdam; Netherlands Organisation for Health Research and Development (ZonMw) [907.00303, 916.10159]; Netherlands Organisation for Scientific Research (NWO); Ministry of Health, Welfare and Sport; Ministry of Youth and Families; lInstitut de la statistique du Quebec; Fondation Lucie et Andre Chagnon; Ministere de lEducation et de lEnseignement superieur; Ministere de la Santeet des Services sociaux; Ministere de la Famille; GRIP Research Unit on Childrens Psychosocial Maladjustment; QUALITY Cohort Collaborative Group; le Centre hospitalier universitaire SainteJustine; Institut de recherche Robert-Sauveen santeet en securiteau travail; lInstitut de recherche en santepublique de lUniversite de Montreal; Centre de recherche du Centre hospitalier de lUniversite de Montreal (CRCHUM); Fonds de recherche du Quebec Sante (FRQS); Fonds de recherche du Quebec Socie te et culture (FRQSC); Social Sciences and Humanities Research Council (SSHRC); County Council of Ostergotland; Swedish Research Council [K200572X-11242-11A, K2008-69X-20826-01-4]; Swedish Child Diabetes Foundation (Barndiabetesfonden); Juvenile Diabetes Research Foundation; Wallenberg Foundation [K 98-99D12813-01A]; Medical Research Council of Southeast Sweden (FORSS); Swedish Council for Working Life and Social Research [FAS20041775]; Ostgota Brandstodsbolag; Australian National Health and Medical Research Council (NHMRC) Practitioner Fellowship [1155290]; NHMRC Career Development Fellowship [1111160]; Victorian Governments Operational Infrastructure Program

Background/objectives This study analysed the relationship between early childhood socioeconomic status (SES) measured by maternal education and household income and the subsequent development of childhood overweight and obesity. Subjects/methods Data from seven population-representative prospective child cohorts in six high-income countries: United Kingdom, Australia, the Netherlands, Canada (one national cohort and one from the province of Quebec), USA, Sweden. Children were included at birth or within the first 2 years of life. Pooled estimates relate to a total of N = 26,565 included children. Overweight and obesity were defined using International Obesity Task Force (IOTF) cut-offs and measured in late childhood (8-11 years). Risk ratios (RRs) and pooled risk estimates were adjusted for potential confounders (maternal age, ethnicity, child sex). Slope Indexes of Inequality (SII) were estimated to quantify absolute inequality for maternal education and household income. Results Prevalence ranged from 15.0% overweight and 2.4% obese in the Swedish cohort to 37.6% overweight and 15.8% obese in the US cohort. Overall, across cohorts, social gradients were observed for risk of obesity for both low maternal education (pooled RR: 2.99, 95% CI: 2.07, 4.31) and low household income (pooled RR: 2.69, 95% CI: 1.68, 4.30); between-cohort heterogeneity ranged from negligible to moderate (p: 0.300 to < 0.001). The association between RRs of obesity by income was lowest in Sweden than in other cohorts. Conclusions There was a social gradient by maternal education on the risk of childhood obesity in all included cohorts. The SES associations measured by income were more heterogeneous and differed between Sweden versus the other national cohorts; these findings may be attributable to policy differences, including preschool policies, maternity leave, a ban on advertising to children, and universal free school meals., Funding Agencies|Canadian Institutes of Health Research [OCO-79897, MOP-89886, MSH-95353, ROG-110537]; Linkoping University

ObjectiveThis study aimed to examine social gradients in ADHD during late childhood (age 9-11 years) using absolute and relative relationships with socioeconomic status exposure (household income, maternal education) during early childhood (<5 years) in seven cohorts from six industrialised countries (UK, Australia, Canada, The Netherlands, USA, Sweden). MethodsSecondary analyses were conducted for each birth cohort. Risk ratios, pooled risk estimates, and absolute inequality, measured by the Slope Index of Inequality (SII), were estimated to quantify social gradients in ADHD during late childhood by household income and maternal education measured during early childhood. Estimates were adjusted for child sex, mother age at birth, mother ethnicity, and multiple births. FindingsAll cohorts demonstrated social gradients by household income and maternal education in early childhood, except for maternal education in Quebec. Pooled risk estimates, relating to 44,925 children, yielded expected gradients (income: low 1.83(CI 1.38,2.41), middle 1.42(1.13,1.79), high (reference); maternal education: low 2.13(1.39,3.25), middle 1.42(1.13,1.79)). Estimates of absolute inequality using SII showed that the largest differences in ADHD prevalence between the highest and lowest levels of maternal education were observed in Australia (4% lower) and Sweden (3% lower); for household income, the largest differences were observed in Quebec (6% lower) and Canada (all provinces: 5% lower). ConclusionFindings indicate that children in families with high household income or maternal education are less likely to have ADHD at age 9-11. Absolute inequality, in combination with relative inequality, provides a more complete account of the socioeconomic status and ADHD relationship in different high-income countries. While the study design precludes causal inference, the linear relation between early childhood social circumstances and later ADHD suggests a potential role for policies that, Funding Agencies|Canadian Institutes of Health Research [OCO-79897, MOP-89886, MSH-95353, ROG-110537, MOP-123079, HDF70335]; County Council of Ostergotland; Swedish Research Council [K2005-72X-11242-11A, K2008-69X-2082601-4]; Swedish Child Diabetes Foundation (Barndiabetesfonden); Juvenile Diabetes Research Foundation; Wallenberg Foundation [K 98-99D12813-01A]; Medical Research Council of Southeast Sweden(FORSS); Swedish Council for Working Life and Social Research [FAS20041775]; Ostgota Brandstodsbolag; Australian Government Department of Social Services; Australian Institute of Family Studies (AIFS); Australian Bureau of Statistics (ABS); Erasmus Medical Center, Rotterdam; Erasmus University Rotterdam; Netherlands Organisation for Health Research and Development (ZonMw) [ZonMw 907.00303, 916.10159]; Netherlands Organisation for Scientific Research (NWO); Ministry of Health, Welfare and Sport; Ministry of Youth and Families; lInstitut de la statistique du Quebec; Fondation Lucie et Andre Chagnon; Ministere de leducation et de lEnseignement superieur; Ministere de la Sante et des Services sociaux; Ministere de la Famille; GRIP Research Unit on Childrens Psychosocial Maladjustment; QUALITY Cohort Collaborative Group; Centre hospitalier universitaire SainteJustine; Institut de recherche Robert-Sauve en sante et en securite au travail; lInstitut de recherche en sante publique de lUniversite de Montreal; Centre de recherche du Centre hospitalier de lUniversite de Montreal (CRCHUM); Fonds de recherche du Quebec Sante (FRQS); Fonds de recherche du Quebec Socie te et culture (FRQSC); Social Sciences and Humanities Research Council (SSHRC); Human Resources and Skills Development Canada (HRSDC); Canadian Institute for Health Research (CIHR); Canadian Foundation for Innovation (CFI); Statistics Canada; Economic and Social Research Council; Office of National Statistics; U.S. Bureau of Labor Statistics; National Institute for Child Health and Human Development

Child dental caries (i.e., cavities) are a major preventable health problem in most high-income countries. The aim of this study was to compare the extent of inequalities in child dental caries across four high-income countries alongside their child oral health policies. Coordinated analyses of data were conducted across four prospective population-based birth cohorts (Australia, n = 4085, born 2004; Quebec, Canada, n = 1253, born 1997; Rotterdam, the Netherlands, n = 6690, born 2002; Southeast Sweden, n = 7445, born 1997), which enabled a high degree of harmonization. Risk ratios (adjusted) and slope indexes of inequality were estimated to quantify social gradients in child dental caries according to maternal education and household income. Children in the least advantaged quintile for income were at greater risk of caries, compared to the most advantaged quintile: Australia: AdjRR = 1.18, 95%CI = 1.04-1.34; Quebec: AdjRR = 1.69, 95%CI = 1.36-2.10; Rotterdam: AdjRR = 1.67, 95%CI = 1.36-2.04; Southeast Sweden: AdjRR = 1.37, 95%CI = 1.10-1.71). There was a higher risk of caries for children of mothers with the lowest level of education, compared to the highest: Australia: AdjRR = 1.18, 95%CI= 1.01-1.38; Southeast Sweden: AdjRR = 2.31, 95%CI = 1.81-2.96; Rotterdam: AdjRR = 1.98, 95%CI = 1.71-2.30; Quebec: AdjRR = 1.16, 95%CI = 0.98-1.37. The extent of inequalities varied in line with jurisdictional policies for provision of child oral health services and preventive public health measures. Clear gradients of social inequalities in child dental caries are evident in high-income countries. Policy related mechanisms may contribute to the differences in the extent of these inequalities. Lesser gradients in settings with combinations of universal dental coverage and/or fluoridation suggest these provisions may ameliorate inequalities through additional benefits for socio-economically disadvantaged groups of children., Funding Agencies|Canadian Institutes of Health Research [MOP-123079, HDF70335, OCO-79897, MOP-89886, MSH-95353, ROG-110537]; Australian Government Department of Social Services; Australian Bureau of Statistics (ABS); Australian Institute of Family Studies (AIFS); Erasmus Medical Center, Rotterdam; Erasmus University Rotterdam; Netherlands Organisation for Health Research and Development (ZonMw) [907.00303, 916.10159]; Netherlands Organisation for Scientific Research (NWO); Ministry of Health, Welfare and Sport; Ministry of Youth and Families; lInstitut de la statistique du Quebec; Fondation Lucie et Andre Chagnon; Ministere de lEducation et de lEnseignement superieur; Ministere de la Santeet des Services sociaux; Ministere de la Famille; GRIP Research Unit on Childrens Psychosocial Maladjustment; QUALITY Cohort Collaborative Group; le Centre hospitalier universitaire SainteJustine; Institut de recherche Robert-Sauveen santeet en securiteau travail; lInstitut de recherche en santepublique de lUniversite de Montreal; Centre de recherche du Centre hospitalier de lUniversite de Montreal (CRCHUM); Fonds de recherche du Quebec Sante (FRQS); Fonds de recherche du Quebec Socie te et culture (FRQSC); Social Sciences and Humanities Research Council (SSHRC); County Council of Ostergotland; Swedish Research Council [K200572X-11242-11A, K2008-69X-20826-01-4]; Swedish Child Diabetes Foundation (Barndiabetesfonden); Juvenile Diabetes Research Foundation; Wallenberg Foundation [K 98-99D12813-01A]; Medical Research Council of Southeast Sweden (FORSS); Swedish Council for Working Life and Social Research [FAS20041775]; Ostgota Brandstodsbolag; Australian National Health and Medical Research Council (NHMRC) Practitioner Fellowship [1155290]; NHMRC Career Development Fellowship [1111160]; Victorian Governments Operational Infrastructure Program

Child dental caries (i.e., cavities) are a major preventable health problem in most high-income countries. The aim of this study was to compare the extent of inequalities in child dental caries across four high-income countries alongside their child oral health policies. Coordinated analyses of data were conducted across four prospective population-based birth cohorts (Australia, n = 4085, born 2004; Quebec, Canada, n = 1253, born 1997; Rotterdam, the Netherlands, n = 6690, born 2002; Southeast Sweden, n = 7445, born 1997), which enabled a high degree of harmonization. Risk ratios (adjusted) and slope indexes of inequality were estimated to quantify social gradients in child dental caries according to maternal education and household income. Children in the least advantaged quintile for income were at greater risk of caries, compared to the most advantaged quintile: Australia: AdjRR = 1.18, 95%CI = 1.04-1.34; Quebec: AdjRR = 1.69, 95%CI = 1.36-2.10; Rotterdam: AdjRR = 1.67, 95%CI = 1.36-2.04; Southeast Sweden: AdjRR = 1.37, 95%CI = 1.10-1.71). There was a higher risk of caries for children of mothers with the lowest level of education, compared to the highest: Australia: AdjRR = 1.18, 95%CI= 1.01-1.38; Southeast Sweden: AdjRR = 2.31, 95%CI = 1.81-2.96; Rotterdam: AdjRR = 1.98, 95%CI = 1.71-2.30; Quebec: AdjRR = 1.16, 95%CI = 0.98-1.37. The extent of inequalities varied in line with jurisdictional policies for provision of child oral health services and preventive public health measures. Clear gradients of social inequalities in child dental caries are evident in high-income countries. Policy related mechanisms may contribute to the differences in the extent of these inequalities. Lesser gradients in settings with combinations of universal dental coverage and/or fluoridation suggest these provisions may ameliorate inequalities through additional benefits for socio-economically disadvantaged groups of children., Funding Agencies|Canadian Institutes of Health Research [MOP-123079, HDF70335, OCO-79897, MOP-89886, MSH-95353, ROG-110537]; Australian Government Department of Social Services; Australian Bureau of Statistics (ABS); Australian Institute of Family Studies (AIFS); Erasmus Medical Center, Rotterdam; Erasmus University Rotterdam; Netherlands Organisation for Health Research and Development (ZonMw) [907.00303, 916.10159]; Netherlands Organisation for Scientific Research (NWO); Ministry of Health, Welfare and Sport; Ministry of Youth and Families; lInstitut de la statistique du Quebec; Fondation Lucie et Andre Chagnon; Ministere de lEducation et de lEnseignement superieur; Ministere de la Santeet des Services sociaux; Ministere de la Famille; GRIP Research Unit on Childrens Psychosocial Maladjustment; QUALITY Cohort Collaborative Group; le Centre hospitalier universitaire SainteJustine; Institut de recherche Robert-Sauveen santeet en securiteau travail; lInstitut de recherche en santepublique de lUniversite de Montreal; Centre de recherche du Centre hospitalier de lUniversite de Montreal (CRCHUM); Fonds de recherche du Quebec Sante (FRQS); Fonds de recherche du Quebec Socie te et culture (FRQSC); Social Sciences and Humanities Research Council (SSHRC); County Council of Ostergotland; Swedish Research Council [K200572X-11242-11A, K2008-69X-20826-01-4]; Swedish Child Diabetes Foundation (Barndiabetesfonden); Juvenile Diabetes Research Foundation; Wallenberg Foundation [K 98-99D12813-01A]; Medical Research Council of Southeast Sweden (FORSS); Swedish Council for Working Life and Social Research [FAS20041775]; Ostgota Brandstodsbolag; Australian National Health and Medical Research Council (NHMRC) Practitioner Fellowship [1155290]; NHMRC Career Development Fellowship [1111160]; Victorian Governments Operational Infrastructure Program

Background/objectives This study analysed the relationship between early childhood socioeconomic status (SES) measured by maternal education and household income and the subsequent development of childhood overweight and obesity. Subjects/methods Data from seven population-representative prospective child cohorts in six high-income countries: United Kingdom, Australia, the Netherlands, Canada (one national cohort and one from the province of Quebec), USA, Sweden. Children were included at birth or within the first 2 years of life. Pooled estimates relate to a total of N = 26,565 included children. Overweight and obesity were defined using International Obesity Task Force (IOTF) cut-offs and measured in late childhood (8-11 years). Risk ratios (RRs) and pooled risk estimates were adjusted for potential confounders (maternal age, ethnicity, child sex). Slope Indexes of Inequality (SII) were estimated to quantify absolute inequality for maternal education and household income. Results Prevalence ranged from 15.0% overweight and 2.4% obese in the Swedish cohort to 37.6% overweight and 15.8% obese in the US cohort. Overall, across cohorts, social gradients were observed for risk of obesity for both low maternal education (pooled RR: 2.99, 95% CI: 2.07, 4.31) and low household income (pooled RR: 2.69, 95% CI: 1.68, 4.30); between-cohort heterogeneity ranged from negligible to moderate (p: 0.300 to < 0.001). The association between RRs of obesity by income was lowest in Sweden than in other cohorts. Conclusions There was a social gradient by maternal education on the risk of childhood obesity in all included cohorts. The SES associations measured by income were more heterogeneous and differed between Sweden versus the other national cohorts; these findings may be attributable to policy differences, including preschool policies, maternity leave, a ban on advertising to children, and universal free school meals., Funding Agencies|Canadian Institutes of Health Research [OCO-79897, MOP-89886, MSH-95353, ROG-110537]; Linkoping University

Background We examined absolute and relative relationships between household income and maternal education during early childhood (<5 years) with activity-limiting chronic health conditions (ALCHC) during later childhood in six longitudinal, prospective cohorts from high-income countries (UK, Australia, Canada, Sweden, Netherlands, USA). Methods Relative inequality (risk ratios, RR) and absolute inequality (Slope Index of Inequality) were estimated for ALCHC during later childhood by maternal education categories and household income quintiles in early childhood. Estimates were adjusted for mother ethnicity, maternal age at birth, child sex and multiple births, and were pooled using meta-regression. Results Pooled estimates, with over 42 000 children, demonstrated social gradients in ALCHC for high maternal education versus low (RR 1.54, 95% CI 1.28 to 1.85) and middle education (RR 1.24, 95% CI 1.11 to 1.38); as well as for high household income versus lowest (RR 1.90, 95% CI 1.66 to 2.18) and middle quintiles (RR 1.34, 95% CI 1.17 to 1.54). Absolute inequality showed decreasing ALCHC in all cohorts from low to high education (range: -2.85% Sweden, -13.36% Canada) and income (range: -1.8% Sweden, -19.35% Netherlands). Conclusion We found graded relative risk of ALCHC during later childhood by maternal education and household income during early childhood in all cohorts. Absolute differences in ALCHC were consistently observed between the highest and lowest maternal education and household income levels across cohort populations. Our results support a potential role for generous, universal financial and childcare policies for families during early childhood in reducing the prevalence of activity limiting chronic conditions in later childhood., Funding Agencies|Canadian Institutes of Health Research [OCO-79897, MOP-89886, MSH-95353, ROG-110537]; County Council of Ostergotland; Swedish Research Council [K2005-72X-11242-11A, K2008-69X-20826-01-4]; Swedish Child Diabetes Foundation (Barndiabetesfonden); Juvenile Diabetes Research Foundation; Wallenberg Foundation [K 98-99D-12813-01A]; Medical Research Council of Southeast Sweden(FORSS); Swedish Council for Working Life and Social Research [FAS2004-1775]; Ostgota Brandstodsbolag; Australian Government Department of Social Services; partner organisations Australian Institute of Family Studies (AIFS); Australian Bureau of Statistics (ABS); Erasmus Medical Center, Rotterdam; Erasmus University Rotterdam; Netherlands Organisation for Health Research and Development (ZonMw); Netherlands Organisation for Scientific Research (NWO); Ministry of Health, Welfare and Sport; Ministry of Youth and Families; Human Resources and Skills Development Canada (HRSDC); Social Sciences and Humanities Research Council (SSHRC); Canadian Institute for Health Research (CIHR); Canadian Foundation for Innovation (CFI); Statistics Canada; Economic and Social Research Council; Office of National Statistics; various government departments; US Bureau of Labor Statistics; National Institute for Child Health and Human Development; [907.00303]; [916.10159]

ObjectiveThis study aimed to examine social gradients in ADHD during late childhood (age 9-11 years) using absolute and relative relationships with socioeconomic status exposure (household income, maternal education) during early childhood (<5 years) in seven cohorts from six industrialised countries (UK, Australia, Canada, The Netherlands, USA, Sweden). MethodsSecondary analyses were conducted for each birth cohort. Risk ratios, pooled risk estimates, and absolute inequality, measured by the Slope Index of Inequality (SII), were estimated to quantify social gradients in ADHD during late childhood by household income and maternal education measured during early childhood. Estimates were adjusted for child sex, mother age at birth, mother ethnicity, and multiple births. FindingsAll cohorts demonstrated social gradients by household income and maternal education in early childhood, except for maternal education in Quebec. Pooled risk estimates, relating to 44,925 children, yielded expected gradients (income: low 1.83(CI 1.38,2.41), middle 1.42(1.13,1.79), high (reference); maternal education: low 2.13(1.39,3.25), middle 1.42(1.13,1.79)). Estimates of absolute inequality using SII showed that the largest differences in ADHD prevalence between the highest and lowest levels of maternal education were observed in Australia (4% lower) and Sweden (3% lower); for household income, the largest differences were observed in Quebec (6% lower) and Canada (all provinces: 5% lower). ConclusionFindings indicate that children in families with high household income or maternal education are less likely to have ADHD at age 9-11. Absolute inequality, in combination with relative inequality, provides a more complete account of the socioeconomic status and ADHD relationship in different high-income countries. While the study design precludes causal inference, the linear relation between early childhood social circumstances and later ADHD suggests a potential role for policies that, Funding Agencies|Canadian Institutes of Health Research [OCO-79897, MOP-89886, MSH-95353, ROG-110537, MOP-123079, HDF70335]; County Council of Ostergotland; Swedish Research Council [K2005-72X-11242-11A, K2008-69X-2082601-4]; Swedish Child Diabetes Foundation (Barndiabetesfonden); Juvenile Diabetes Research Foundation; Wallenberg Foundation [K 98-99D12813-01A]; Medical Research Council of Southeast Sweden(FORSS); Swedish Council for Working Life and Social Research [FAS20041775]; Ostgota Brandstodsbolag; Australian Government Department of Social Services; Australian Institute of Family Studies (AIFS); Australian Bureau of Statistics (ABS); Erasmus Medical Center, Rotterdam; Erasmus University Rotterdam; Netherlands Organisation for Health Research and Development (ZonMw) [ZonMw 907.00303, 916.10159]; Netherlands Organisation for Scientific Research (NWO); Ministry of Health, Welfare and Sport; Ministry of Youth and Families; lInstitut de la statistique du Quebec; Fondation Lucie et Andre Chagnon; Ministere de leducation et de lEnseignement superieur; Ministere de la Sante et des Services sociaux; Ministere de la Famille; GRIP Research Unit on Childrens Psychosocial Maladjustment; QUALITY Cohort Collaborative Group; Centre hospitalier universitaire SainteJustine; Institut de recherche Robert-Sauve en sante et en securite au travail; lInstitut de recherche en sante publique de lUniversite de Montreal; Centre de recherche du Centre hospitalier de lUniversite de Montreal (CRCHUM); Fonds de recherche du Quebec Sante (FRQS); Fonds de recherche du Quebec Socie te et culture (FRQSC); Social Sciences and Humanities Research Council (SSHRC); Human Resources and Skills Development Canada (HRSDC); Canadian Institute for Health Research (CIHR); Canadian Foundation for Innovation (CFI); Statistics Canada; Economic and Social Research Council; Office of National Statistics; U.S. Bureau of Labor Statistics; National Institute for Child Health and Human Development

Background/objectives This study analysed the relationship between early childhood socioeconomic status (SES) measured by maternal education and household income and the subsequent development of childhood overweight and obesity. Subjects/methods Data from seven population-representative prospective child cohorts in six high-income countries: United Kingdom, Australia, the Netherlands, Canada (one national cohort and one from the province of Quebec), USA, Sweden. Children were included at birth or within the first 2 years of life. Pooled estimates relate to a total of N = 26,565 included children. Overweight and obesity were defined using International Obesity Task Force (IOTF) cut-offs and measured in late childhood (8-11 years). Risk ratios (RRs) and pooled risk estimates were adjusted for potential confounders (maternal age, ethnicity, child sex). Slope Indexes of Inequality (SII) were estimated to quantify absolute inequality for maternal education and household income. Results Prevalence ranged from 15.0% overweight and 2.4% obese in the Swedish cohort to 37.6% overweight and 15.8% obese in the US cohort. Overall, across cohorts, social gradients were observed for risk of obesity for both low maternal education (pooled RR: 2.99, 95% CI: 2.07, 4.31) and low household income (pooled RR: 2.69, 95% CI: 1.68, 4.30); between-cohort heterogeneity ranged from negligible to moderate (p: 0.300 to < 0.001). The association between RRs of obesity by income was lowest in Sweden than in other cohorts. Conclusions There was a social gradient by maternal education on the risk of childhood obesity in all included cohorts. The SES associations measured by income were more heterogeneous and differed between Sweden versus the other national cohorts; these findings may be attributable to policy differences, including preschool policies, maternity leave, a ban on advertising to children, and universal free school meals., Funding Agencies|Canadian Institutes of Health Research [OCO-79897, MOP-89886, MSH-95353, ROG-110537]; Linkoping University

ObjectiveThis study aimed to examine social gradients in ADHD during late childhood (age 9-11 years) using absolute and relative relationships with socioeconomic status exposure (household income, maternal education) during early childhood (<5 years) in seven cohorts from six industrialised countries (UK, Australia, Canada, The Netherlands, USA, Sweden). MethodsSecondary analyses were conducted for each birth cohort. Risk ratios, pooled risk estimates, and absolute inequality, measured by the Slope Index of Inequality (SII), were estimated to quantify social gradients in ADHD during late childhood by household income and maternal education measured during early childhood. Estimates were adjusted for child sex, mother age at birth, mother ethnicity, and multiple births. FindingsAll cohorts demonstrated social gradients by household income and maternal education in early childhood, except for maternal education in Quebec. Pooled risk estimates, relating to 44,925 children, yielded expected gradients (income: low 1.83(CI 1.38,2.41), middle 1.42(1.13,1.79), high (reference); maternal education: low 2.13(1.39,3.25), middle 1.42(1.13,1.79)). Estimates of absolute inequality using SII showed that the largest differences in ADHD prevalence between the highest and lowest levels of maternal education were observed in Australia (4% lower) and Sweden (3% lower); for household income, the largest differences were observed in Quebec (6% lower) and Canada (all provinces: 5% lower). ConclusionFindings indicate that children in families with high household income or maternal education are less likely to have ADHD at age 9-11. Absolute inequality, in combination with relative inequality, provides a more complete account of the socioeconomic status and ADHD relationship in different high-income countries. While the study design precludes causal inference, the linear relation between early childhood social circumstances and later ADHD suggests a potential role for policies that, Funding Agencies|Canadian Institutes of Health Research [OCO-79897, MOP-89886, MSH-95353, ROG-110537, MOP-123079, HDF70335]; County Council of Ostergotland; Swedish Research Council [K2005-72X-11242-11A, K2008-69X-2082601-4]; Swedish Child Diabetes Foundation (Barndiabetesfonden); Juvenile Diabetes Research Foundation; Wallenberg Foundation [K 98-99D12813-01A]; Medical Research Council of Southeast Sweden(FORSS); Swedish Council for Working Life and Social Research [FAS20041775]; Ostgota Brandstodsbolag; Australian Government Department of Social Services; Australian Institute of Family Studies (AIFS); Australian Bureau of Statistics (ABS); Erasmus Medical Center, Rotterdam; Erasmus University Rotterdam; Netherlands Organisation for Health Research and Development (ZonMw) [ZonMw 907.00303, 916.10159]; Netherlands Organisation for Scientific Research (NWO); Ministry of Health, Welfare and Sport; Ministry of Youth and Families; lInstitut de la statistique du Quebec; Fondation Lucie et Andre Chagnon; Ministere de leducation et de lEnseignement superieur; Ministere de la Sante et des Services sociaux; Ministere de la Famille; GRIP Research Unit on Childrens Psychosocial Maladjustment; QUALITY Cohort Collaborative Group; Centre hospitalier universitaire SainteJustine; Institut de recherche Robert-Sauve en sante et en securite au travail; lInstitut de recherche en sante publique de lUniversite de Montreal; Centre de recherche du Centre hospitalier de lUniversite de Montreal (CRCHUM); Fonds de recherche du Quebec Sante (FRQS); Fonds de recherche du Quebec Socie te et culture (FRQSC); Social Sciences and Humanities Research Council (SSHRC); Human Resources and Skills Development Canada (HRSDC); Canadian Institute for Health Research (CIHR); Canadian Foundation for Innovation (CFI); Statistics Canada; Economic and Social Research Council; Office of National Statistics; U.S. Bureau of Labor Statistics; National Institute for Child Health and Human Development

Background/objectives: This study analysed the relationship between early childhood socioeconomic status (SES) measured by maternal education and household income and the subsequent development of childhood overweight and obesity. Subjects/methods: Data from seven population-representative prospective child cohorts in six high-income countries: United Kingdom, Australia, the Netherlands, Canada (one national cohort and one from the province of Quebec), USA, Sweden. Children were included at birth or within the first 2 years of life. Pooled estimates relate to a total of N = 26,565 included children. Overweight and obesity were defined using International Obesity Task Force (IOTF) cut-offs and measured in late childhood (8–11 years). Risk ratios (RRs) and pooled risk estimates were adjusted for potential confounders (maternal age, ethnicity, child sex). Slope Indexes of Inequality (SII) were estimated to quantify absolute inequality for maternal education and household income. Results: Prevalence ranged from 15.0% overweight and 2.4% obese in the Swedish cohort to 37.6% overweight and 15.8% obese in the US cohort. Overall, across cohorts, social gradients were observed for risk of obesity for both low maternal education (pooled RR: 2.99, 95% CI: 2.07, 4.31) and low household income (pooled RR: 2.69, 95% CI: 1.68, 4.30); between-cohort heterogeneity ranged from negligible to moderate (p: 0.300 to < 0.001). The association between RRs of obesity by income was lowest in Sweden than in other cohorts. Conclusions: There was a social gradient by maternal education on the risk of childhood obesity in all included cohorts. The SES associations measured by income were more heterogeneous and differed between Sweden versus the other national cohorts; these findings may be attributable to policy differences, including preschool policies, maternity leave, a ban on advertising to children, and universal free school meals.

Child dental caries (i.e., cavities) are a major preventable health problem in most highincome countries. The aim of this study was to compare the extent of inequalities in child dental caries across four high-income countries alongside their child oral health policies. Coordinated analyses of data were conducted across four prospective population-based birth cohorts (Australia, n = 4085, born 2004; Québec, Canada, n = 1253, born 1997; Rotterdam, the Netherlands, n = 6690, born 2002; Southeast Sweden, n = 7445, born 1997), which enabled a high degree of harmonization. Risk ratios (adjusted) and slope indexes of inequality were estimated to quantify social gradients in child dental caries according to maternal education and household income. Children in the least advantaged quintile for income were at greater risk of caries, compared to the most advantaged quintile: Australia: AdjRR = 1.18, 95%CI = 1.04-1.34; Québec: AdjRR = 1.69, 95%CI = 1.36-2.10; Rotterdam: AdjRR = 1.67, 95%CI = 1.36-2.04; Southeast Sweden: AdjRR = 1.37, 95%CI = 1.10-1.71). There was a higher risk of caries for children of mothers with the lowest level of education, compared to the highest: Australia: AdjRR = 1.18, 95%CI = 1.01-1.38; Southeast Sweden: AdjRR = 2.31, 95%CI = 1.81-2.96; Rotterdam: AdjRR = 1.98, 95%CI = 1.71-2.30; Québec: AdjRR = 1.16, 95%CI = 0.98-1.37. The extent of inequalities varied in line with jurisdictional policies for provision of child oral health services and preventive public health measures. Clear gradients of social inequalities in child dental caries are evident in high-income countries. Policy related mechanisms may contribute to the differences in the extent of these inequalities. Lesser gradients in settings with combinations of universal dental coverage and/or fluoridation suggest these provisions may ameliorate inequalities through additional benefits for socio-economically disadvantaged groups of children.