Impact of poverty and adversity on perceived family support in adolescence: findings from the UK Millennium Cohort Study.

Emotional support from family members may have an important effect on adolescent health outcomes, and has been identified as a target for policy to protect against the impacts of poverty and other early life adversities. However, few studies have assessed the extent to which poverty and adversity themselves influence the nature of emotional support that parents can provide to adolescents. We, therefore, aimed to investigate the impact of trajectories of income poverty and family adversities, including parental mental ill health, alcohol misuse and domestic violence across childhood developmental stages on young people's relationships with their families and perceived emotional support received. We analysed longitudinal data on 10,976 children from the nationally representative UK Millennium Cohort study. Exposure trajectories of poverty and family adversities were characterised using group-based multi-trajectory models (age 9 months-14 years). The outcomes were perceived emotional support and quality of family relationships, measured by the three-item Short Social Provisions Scale (SPS-3) and levels of parent-adolescent closeness and conflict, measured at age 14. ORs and 95% CIs were estimated using multivariable logistic regression models, adjusting for potential confounding factors. At age 14, the overall prevalence of low perceived emotional support was 13% (95% CI: 12, 14). Children of mothers with lower socioeconomic status (SES) were more likely to report low emotional support, with a clear social gradient (education-degree plus: 10.3% vs. no qualifications: 15.4%). Compared with children exposed to low levels of poverty and adversity, children in the persistent adversity trajectory groups experienced higher odds of low emotional support and low-quality parent-adolescent relationship; those exposed to both persistent poverty and poor parental mental health were particularly at increased risk of experiencing poor family relationships and low perceived emotional support (adjusted odds ratio 2·2; 95% CI 1·7-2·9). Low perceived emotional support and poor family relationships in adolescence are more prevalent among socially disadvantaged children and adolescents and those experiencing social adversity. Policies to improve levels of family support for UK adolescents should focus on improving modifiable determinants such as child poverty and family mental health.

Disease or function? What matters most for self-rated health in older people depends on age.

BACKGROUND: Self-rated health (SRH) holistically captures older adults' health status from the perspective of the individual. AIMS: To explore the accuracy of five objective health indicators related to diseases, physical function, cognition and disability in discriminating SRH among the youngest and oldest old. METHODS: We used baseline data from 2196 participants of the Swedish National Study on Aging and Care in Kungsholmen (SNAC-K), Sweden (years 2001-2004). Area under the receiver operating characteristic curves (AUROC) were obtained from logistic regressions adjusted by sex, age and education. RESULTS: Among the youngest old, having ≥ 4 chronic diseases showed the highest discriminatory capacity of poor versus good SRH (AUROC: 0.714). Among the oldest old, a walking speed < 1.0 m/s showed the highest discriminatory capacity of poor versus good SRH (AUROC: 0.683), followed by ≥ 1 limitations in IADL (AUROC: 0.664). CONCLUSION: What matters most for SRH in older people depends on age, with walking speed playing a major role among the oldest old.

Changes in physical activity and screen time related to psychological well-being in early adolescence: findings from longitudinal study ELANA.

BACKGROUND: Psychological well-being influences health behaviours differently in adolescent boys and girls. We evaluated the role of psychological well-being in early adolescence in the onset and persistence of insufficient physical activity and exceeding recommended screen time, depending on gender. METHODS: This work derives from a cohort study called Longitudinal Study of Adolescent Nutritional Assessment conducted among elementary school students from two public and four private schools in Rio de Janeiro, Brazil from 2010-2013. We analysed data from 2010 and 2012 from 526 adolescents. Physical activity was evaluated using the International Physical Activity Questionnaire. Those who performed less than 60 min per day of moderate to vigorous physical activity (MVPA) were classified as insufficiently active. Screen time was evaluated based on daily time spent in front of television, video games, and computers. Those who had 4 h or more screen time per day were classified as exceeding the recommended time. Psychological well-being was assessed using the psychological domain of the KIDSCREEN 27 questionnaire. Linear regression was used to estimate coefficient (ß) and r (2) values for continuous variables. Relative risks (RR) and confidence intervals (95 % CI) for onset and persistence of insufficient activity and exceeding recommended screen time were estimated with Poisson regression models. RESULTS: Among girls, linear regression analyses showed a significant inverse association between psychological well-being and screen minutes per day at T2 (r (2) = 0.049/ß = -3.81 (95 % CI -7.0, -0.9)), as well as an association between poor psychological well-being and onset of exceeding recommended screen time in categorical analyses (RR crude: 1.3; CI 95 % 1.1, 1.7; RR adjusted: 1.3; CI 95 % 1.0, 1.6). For boys, an association was found between psychological well-being and onset of insufficient activity 2 years later (RR crude: 1.3; CI 95 % 1.2, 1.4; RR adjusted: 1.2; CI 95 % 1.1, 1.4). CONCLUSION: Adolescence is crucial for the development of unhealthy behaviours related to psychological well-being status in the context of a middle-income country. Gender differences are important because poor psychological well-being seems to affect sedentary behaviour in girls more than in boys, and predicts insufficient activity among boys.

Impact of Parental Mental Health and Poverty on the Health of the Next Generation: A Multi-Trajectory Analysis Using the UK Millennium Cohort Study.

PURPOSE: Exposure to parental mental ill-health and poverty in childhood impact health across the lifecourse. Both maternal and paternal mental health may be important influences, but few studies have unpicked the complex interrelationships between these exposures and family poverty for later health. METHODS: We used longitudinal data on 10,500 children from the nationally representative UK millennium cohort study. Trajectories of poverty, maternal mental health, and secondary caregiver mental health were constructed from child age of 9 months through to 14 years. We assessed the associations of these trajectories with mental health outcomes at the age of 17 years. Population-attributable fractions were calculated to quantify the contribution of caregivers' mental health problems and poverty to adverse outcomes at the country level. RESULTS: We identified five distinct trajectories. Compared with children with low poverty and good parental mental health, those who experienced poverty and poor primary or secondary caregiver mental health (53%) had worse outcomes. Children exposed to both persistent poverty and poor caregiver mental health were at markedly increased risk of socioemotional behavioural problems (aOR 4.2; 95% CI 2.7-6.7), mental health problems (aOR 2.5; CI 1.6-3.9), and cognitive disability (aOR 1.7; CI 1.1-2.5). We estimate that 40% of socioemotional behavioural problems at the age of 17 were attributable to persistent parental caregivers' mental health problems and poverty. DISCUSSION: More than half of children growing up in the UK are persistently exposed to either one or both of poor caregiver mental health and family poverty. The combination of these exposures is strongly associated with adverse health outcomes in the next generation.

Changes in parents' mental health related to child out-of-home care placements: A Swedish national register study.

BACKGROUND: Literature on outcomes of children in out-of-home care (OHC) is extensive. However, less is known regarding associations of such placements with parental mental health disorders (MHD). OBJECTIVE: This study investigated changes in hospitalization rates due to MHD among parents, four years before and after placement of their child in OHC. PARTICIPANTS AND SETTING: We used data on 4067 members (Generation 1) of the RELINK53 cohort (individuals born and living in Sweden in 1953) and their 5373 children (Generation 2) in OHC. METHODS: Using random effects regression models, associations between OHC and MHD were examined separately for fathers and mothers. Nested models were tested exploring associations with parent and child/placement-related factors. Marginal effects were computed to assess mean rates of hospitalization annually. RESULTS: Overall, mothers had higher mean hospitalization rates than fathers. Compared to the year of placement, hospitalization rates were significantly lower in the four years before placement for mothers (9.9 %, 9.5 %, 10.5 %, 12.1 %, respectively) and fathers (5.9 %, 7.6 %, 8 %, 9.8 %, respectively). Mothers showed highest hospitalization rates at the year of placement (26.6 %), while fathers, one year after placement (13.4 %). Hospitalization rates declined significantly directly after placement among mothers, but an unclear and non-significant pattern of results was found among fathers. CONCLUSIONS: Most parents have higher hospitalization rates at and directly after placement. Potential hypotheses underlying these findings are discussed, including psychosocial gender differences and opportunities to seek care as means of reunification. There is an urgency to develop strategies to better support these parents throughout the process.

Drivers of Inequalities among Families Involved with Child Welfare Services: A General Overview.

When parents are unable to raise their children or to meet the minimum acceptable standards for their care, this can lead to involvement with child welfare services [...].

Associations between out-of-home care and mental health disorders within and across generations in a Swedish birth cohort.

Previous studies have shown that mental health disorders (MHD) among parents might be an important mechanism in the intergenerational transmission of out-of-home care (OHC). The current study aimed to further study this interplay by investigating the associations between OHC and MHD within and across generations. We used prospective data from the Stockholm Birth Cohort Multigenerational Study (SBC Multigen) on 9033 cohort members (Generation 1; G1) and their 15,305 sons and daughters (Generation 2; G2). By odds ratios of generalised structural equation modelling, we investigated the intergenerational transmission of OHC and MHD, respectively, as well as the association between OHC and MHD within each generation. Second, we examined the associations between OHC and MHD across the two generations. In order to explore possible sex differences, we performed the analyses stratified by the sex of G2. The results showed an intergenerational transmission of OHC, irrespective of sex. Regarding the intergenerational transmission of MHD, it was shown for both sexes although only statistically significant among G2 males. OHC was associated with MHD within both generations; in G2, this association was stronger among the males. While we found no direct association between OHC in G1 and MHD in G2, there was a significant association between MHD in G1 and OHC in G2. The latter was more evident among G2 females than G2 males. We conclude that OHC and MHD seem to be processes intertwined both within and across generations, with some variation according to sex. Although there did not seem to be any direct influences of OHC in one generation on MHD in the next generation, there was some indication of indirect paths going via parental MHD and child OHC.

Poverty in adolescence and later drug use disorders: understanding the mediation and interaction effects of other psychiatric disorders.

BACKGROUND: Poverty in adolescence is associated with later drug use. Few studies have evaluated the role of adolescent psychiatric disorders in this association. AIMS: This study aimed to investigate mediation and interaction simultaneously, enabling the disentanglement of the role of adolescent psychiatric disorders in the association between poverty in adolescent and later drug use disorders. METHOD: A national cohort study of 634 223 individuals born in 1985-1990, residing in Sweden between the ages of 13 and 18 years, was followed from age 19 years until the first in-patient or out-patient care visit with a diagnosis of drug use disorder. A four-way decomposition method was used to determine the total effect of the association with poverty and possible mediation by and/or interaction with diagnosis of adolescent psychiatric disorders. RESULTS: The hazard ratios for drug use disorders among those experiencing poverty compared with those 'never in poverty' were 1.40 (95% CI, 1.32-1.63) in females and 1.43 (95% CI, 1.37-1.49) in males, after adjusting for domicile, origin and parental psychiatric disorders. Twenty-four per cent of this association in females, and 13% in males, was explained by interaction with and/or mediation by adolescent psychiatric disorders. CONCLUSIONS: Part of the association between poverty in adolescence and later drug use disorders was due to mediation by and/or interaction with psychiatric disorders. Narrowing socioeconomic inequalities in adolescence might help to reduce the risks of later drug use disorders. Interventions aimed at adolescents with psychiatric disorders might be especially important.

Impact of poverty and family adversity on adolescent health: a multi-trajectory analysis using the UK Millennium Cohort Study.

BACKGROUND: Children exposed to poverty and family adversities including domestic violence, parental mental ill health and parental alcohol misuse may experience poor outcomes across the life course. However, the complex interrelationships between these exposures in childhood are unclear. We therefore assessed the clustering of trajectories of household poverty and family adversities and their impacts on adolescent health outcomes. METHODS: We used longitudinal data from the UK Millennium Cohort study on 11564 children followed to age 14 years. Family adversities included parent reported domestic violence and abuse, poor mental health and frequent alcohol use. We used a group-based multi-trajectory cluster model to identify trajectories of poverty and family adversity for children. We assessed associations of these trajectories with child physical, mental and behavioural outcomes at age 14 years using multivariable logistic regression, adjusting for confounders. FINDINGS: Six trajectories were identified: low poverty and family adversity (43·2%), persistent parental alcohol use (7·7%), persistent domestic violence and abuse (3·4%), persistent poor parental mental health (11·9%), persistent poverty (22·6%) and persistent poverty and poor parental mental health (11·1%). Compared with children exposed to low poverty and adversity, children in the persistent adversity trajectory groups experienced worse outcomes; those exposed to persistent poor parental mental health and poverty were particularly at increased risk of socioemotional behavioural problems (adjusted odds ratio 6·4; 95% CI 5·0 - 8·3), cognitive disability (aOR 2·1; CI 1·5 - 2·8), drug experimentation (aOR 2·8; CI 1·8 - 4·2) and obesity (aOR 1·8; CI 1·3 - 2·5). INTERPRETATION: In a contemporary UK cohort, persistent poverty and/or persistent poor parental mental health affects over four in ten children. The combination of both affects one in ten children and is strongly associated with adverse child outcomes, particularly poor child mental health. FUNDING: The National Institute for Health Research (NIHR) Policy Research Programme, NIHR Applied Research Collaboration South London (ARC South London) at King's College Hospital NHS Foundation Trust and the Medical Research Council (MRC).

Intergenerational transmission of out-of-home care and the role of mental health problems: Findings from Stockholm birth cohort multigenerational study.

Out-of-home care (OHC) experiences are associated with poor long-term outcomes throughout life. However, the continuity of OHC over generations is not fully explored, and the influence of mental health problems (MHP) and socioeconomic conditions on such transmission is still unclear. We therefore assessed the extent to which MHP affect the intergenerational transmissions of OHC as well as whether there are differential patterns depending on the socioeconomic conditions of the family of origin. We used a prospective data from the Stockholm Birth Cohort Multigenerational Study (SBC Multigen) on 11,333 cohort members (Generation 1; G1), their parents (Generation 0; G0), and 24,905 children (Generation 2; G2). Multivariate regressions and path models were used to examine the associations between OHC and MHP across generations; stratified analysis by occupational class in G0 was performed to explore potentially differential patterns. Our findings support the existence of an intergenerational transmission of OHC, particularly in the working class group (OR 4.70); MHP was only transmitted across generations in this group (OR 1.51). While the results indicated a stronger role of MHP among the middle/upper class (OR 5.59) compared to working class (OR 3.52) in part of the pathway (MHP G1→OHC G2), this patter was not consistent throughout the whole pathway (e.g. OHC G1→MHP G1). We conclude that there is a tendency for OHC and MHP experiences to continue across generations, particularly among families with more disadvantageous socioeconomic conditions. MHP seem to play an important role in the transmission of OHC irrespective of socioeconomic conditions.

Association between poverty exposure during childhood and adolescence, and drug use disorders and drug-related crimes later in life.

AIMS: To examine whether poverty exposure in childhood/adolescence increases the risk of later drug use disorder and drug crime conviction. DESIGN, SETTING AND PARTICIPANTS: A national cohort study encompassing 634 284 individuals born between 1985 and 1990, residing in Sweden between 5 and 18 years of age, followed-up from January 2004 to December 2016, starting from the age of 19 years until the first visit to inpatient/outpatient care with a diagnosis of a drug use disorder or a drug crime offence. MEASUREMENTS: The exposure variable was 'trajectories of poverty' based on household income, assessed through group-based trajectory analysis. Cox regression analysis was used to obtain hazard ratios for drug use disorders and drug crime convictions using age as the underlying time scale. FINDINGS: We identified five trajectories of childhood/adolescence poverty: (1) 'moving out of poverty in childhood' (8.7%); (2) 'never poverty' (68.9%); (3) 'moving into poverty in adolescence' (11.0%); (4) 'moving out of poverty in adolescence' (5.4%); and (5) 'chronically poor' (5.9%). Compared with the 'never poor' group, almost all trajectory groups had higher risks for drug use problems. Young males 'moving into poverty in adolescence' had the highest risks of drug use disorder [hazard ratio (HR) = 1.48, 95% confidence interval (CI) = 1.40-1.57] and drug crime conviction (HR = 1.50, 95% CI = 1.38-1.62), after adjusting for calendar year, domicile, origin, psychiatric diagnosis and parental psychiatric diagnosis. The results were similar in females moving into poverty in adolescence (HR = 1.63, 95% CI = 1.52-1.76 and HR = 1.89, 95% CI = 1.74-2.05 for drug use disorders and drug crime, respectively). CONCLUSION: In Sweden, poverty exposure early in life seems to increase the risk of drug use problems in adulthood. These associations are not explained fully by domicile, origin or other psychiatric disorders. Young males and females moving into poverty in adolescence are at highest risk.

Unplanned Hospital Care Use in Older Adults: The Role of Psychological and Social Well-Being.

OBJECTIVES: To explore the association of psychological and social well-being with unplanned hospital utilization in an older Swedish population. DESIGN: Data for this study were gathered from the Swedish National Study on Aging and Care in Kungsholmen (SNAC-K). Information on hospital care use was extracted from the Stockholm County Council Inpatient Register for up to 4 years after the baseline SNAC-K assessment (2001-2007). Participants with dementia or living in institutions were excluded from the study sample. SETTING: Community-based study of randomly selected adults, aged 60 years or older, living in the Kungsholmen district of Stockholm. PARTICIPANTS: A complete case analysis was performed on 2139 individuals. MEASUREMENTS: We created standardized indexes of psychological well-being (integrating life satisfaction and positive and negative affect) and social well-being (integrating social connections, support, and participation). Negative binomial models were used to estimate the association of psychosocial well-being with unplanned admissions, hospital days, and 30-day readmissions, considering potential sociodemographic, lifestyle, personality, and clinical confounders. RESULTS: Individuals with psychological well-being scores above the median had lower rates of unplanned hospital admissions (incidence rate ratio [IRR] = 0.67; 95% confidence interval [CI] = 0.55-0.82) and hospital days (IRR = 0.67; 95% CI = 0.49-0.92) compared to those with scores below the median. High levels of social well-being were also protective for unplanned admissions and hospital days, but the statistical significance was lost in the fully adjusted models. Relative to individuals with low well-being on both indexes, the rate of unplanned admissions and hospital days was lowest in those with both high psychological and social well-being (IRR = 0.72; 95% CI = 0.55-0.93; and IRR = 0.57; 95% CI = 0.39-0.85, respectively). For 30-day readmissions, a statistically significant negative association was found with psychological well-being, but only when operationalized as a continuous variable. CONCLUSION: Given their association with unplanned admissions and hospital days, targeting aspects of psychosocial well-being could be a viable strategy for reducing healthcare use and, eventually, costs. J Am Geriatr Soc 68:272-280, 2020.

How do early-life adverse childhood experiences mediate the relationship between childhood socioeconomic conditions and adolescent health outcomes in the UK?

BACKGROUND: Both adverse childhood experiences (ACEs) and adverse childhood socioeconomic conditions (SECs) in early life are associated with poor outcomes across the life course. However, the complex interrelationships between childhood SECs and ACEs are unclear, as are the consequences for health outcomes beyond childhood. We therefore assessed the extent to which early-life ACEs mediate the relationship between SECs and socioemotional behavioural problems, cognitive disability and overweight/obesity in adolescence. METHODS: We used longitudinal data from the UK Millennium Cohort Study (MSC). Outcomes assessed at age 14 were socioemotional behavioural problems, cognitive disability and overweight/obesity. SECs at birth were measured by maternal education. Potentially mediating ACEs measured up to 5 years were verbal and physical maltreatment, parental drug use, domestic violence, parental divorce, maternal mental illness and high frequency of parental alcohol use. We used counterfactual mediation analysis to assess the extent to which ACEs mediate the association between SECs at birth and behavioural, cognitive and physical outcomes at age 14, estimating total (TE), natural direct and indirect effects, and mediated proportions. RESULTS: Children with disadvantaged SECs were more likely to have socioemotional behavioural problems (relative risk (RR) 3.85, 95% CI 2.48 to 5.97), cognitive disability (RR 3.87, 95% CI 2.33 to 6.43) and overweight/obesity (RR 1.61, 95% CI 1.32 to 1.95), compared to those with more advantaged SECs. Overall, 18% of the TE of SECs on socioemotional behavioural problems was mediated through all ACEs investigated. For cognitive disability and overweight/obese, the proportions mediated were 13% and 19%, respectively. CONCLUSION: ACEs measured up to age 5 years in the MCS explained about one-sixth of inequalities in adolescents behavioural, cognitive and physical outcomes.

Development of a predictive risk model for school readiness at age 3 years using the UK Millennium Cohort Study.

OBJECTIVES: The aim of this study is to develop a predictive risk model (PRM) for school readiness measured at age 3 years using perinatal and early infancy data. DESIGN AND PARTICIPANTS: This paper describes the development of a PRM. Predictors were identified from the UK Millennium Cohort Study wave 1 data, collected when participants were 9 months old. The outcome was school readiness at age 3 years, measured by the Bracken School Readiness Assessment. Stepwise selection and dominance analysis were used to specify two models. The models were compared by the area under the receiver operating characteristic curve (AUROC) and integrated discrimination improvement (IDI). RESULTS: Data were available for 9487 complete cases. At age 3, 11.7% (95% CI 11.0% to 12.3%) of children were not school ready. The variables identified were: parents' Socio-Economic Classification, child's ethnicity, maternal education, income band, sex, household number of children, mother's age, low birth weight, mother's mental health, infant developmental milestones, breastfeeding, parents' employment, housing type. A parsimonious model included the first six listed variables (model 2). The AUROC for model 1 was 0.80 (95% CI 0.78 to 0.81) and 0.78 (95% CI 0.77 to 0.79) for model 2. Model 1 resulted in a small improvement in discrimination (IDI=1.3%, p<0.001). CONCLUSIONS: Perinatal and infant risk factors predicted school readiness at age three with good discrimination. Social determinants were strong predictors of school readiness. This study demonstrates that school readiness can be predicted by six attributes collected around the time of birth.

Stability and bidirectional relationship between physical activity and sedentary behaviours in Brazilian adolescents: Longitudinal findings from a school cohort study.

PURPOSE: We investigated the stability, correlations and bidirectional relationship of light physical activities (PA), moderate and vigorous PA (MVPA), television viewing (TV) and video game/computer use (VG) in Brazilian adolescents. METHODS: Adolescent Nutritional Assessment Longitudinal Study-ELANA is a middle school cohort study conducted in Rio de Janeiro-Brazil in 2010-2012. Self-reported data on PA (International Physical Activity Questionnaire- IPAQ) and screen activities were obtained from 810 adolescents (mean ages of 10.9 years old (SD 0.78) for girls; 11 years old (SD 0.85) for boys) to perform autoregressive cross-lagged structural equation models in two time points for PA and three time points for screen activities. RESULTS: There was no significant stability of light PA and MVPA for boys and girls. Moderate stability of screen activities were found for both genders, with a significant coefficient of TV for boys (T1-T2:0.29; T2-T3:0.27 p<0.001); and VG for boys (T1-T2:0.33; T2-T3:0.35 p<0.001) and girls (T1-T2: 0.26; T2-T3:0.37 p<0.01). Significant lagged effects were obtained only among girls: light PA had effect on VG (-0.10 p<0.01), as well as in the opposite direction of TV on light PA (-0.03 p<0.01) and TV on MVPA (-0.11 p<0.01). CONCLUSION: The light PA, MVPA and screen activities (among girls) did not demonstrate stability over time. A warning scenario was suggested by the stability of high amounts of screen activities among boys over time. Screen activities had bidirectional association with light PA and MVPA among girls over time.

Understanding social inequalities in children being bullied: UK Millennium Cohort Study findings.

BACKGROUND: Children living in disadvantaged socio-economic circumstances (SEC) are more commonly victims of bullying, but pathways leading to social inequalities in being bullied are unclear. We assess how early life risk factors might mediate the increased risk of being bullied at age seven for children living in disadvantaged circumstances. MATERIAL AND METHODS: Using data from 5,857 children in the UK Millennium Cohort Study (MCS) we calculate risk ratios (RR) for being bullied at age seven (child-reported), by household income quintile. Socially patterned risk factors for being bullied relating to social networks, family relationships and child characteristics from birth to age five were adjusted for to assess if they mediated any association between SEC and being bullied. RESULTS: 48.6% of children reported having been bullied. Children living in the lowest income households were at 20% greater risk of being bullied compared to those from the highest (RR1.20, 95%CI 1.06,1.36). Controlling for social networks, family relationships and child characteristics attenuated the increased risk for children in low income households to aRR 1.19 (95%CI 1.05, 1.35), aRR 1.16 (95%CI 1.02,1.32) and aRR 1.13 (95%CI 1.00,1.28) respectively. Our final model adjusted for risk factors across all domains attenuated the RR by 45% (aRR 1.11,95%CI 0.97,1.26). CONCLUSIONS: About half of children reported being bullied by age seven with a clear social gradient. The excess risk in children growing up in disadvantaged circumstances was partially explained by differences in their early years relating to their social network, family relationships and the child's own abilities and behaviours. Policies to reduce inequalities in these risk factors may also reduce inequalities in the risk of being bullied in childhood.

How do early-life factors explain social inequalities in adolescent mental health? Findings from the UK Millennium Cohort Study.

BACKGROUND: Reducing inequalities in adolescent mental health is a public health priority, yet the pathways that link social conditions to mental health outcomes in the early years are unclear. We aimed to evaluate the extent to which early years risk factors explain social inequalities in adolescent mental health in the UK. METHODS: We analysed data from 6509 children captured in the UK Millennium Cohort Study. Mental health was assessed through the socioemotional behavioural problems at age 14 (Strengths and Difficulties Questionnaire). The main exposure was maternal education at birth, used as a measure of childhood socioeconomic conditions (SECs), and used to calculate the relative index of inequality. Using causal mediation analysis, we assessed how perinatal, individual child, family, peer relation and neighbourhood-level factors measured up to age 3-mediated the total effect (TE) of SECs on adolescent socioemotional behavioural problems, estimating the proportion mediated and natural indirect effect (NIE) via each block of mediators, and all mediators together. RESULTS: Children of mothers with no qualification were almost four times as likely to have socioemotional behavioural problems compared with degree plus level (relative risk (RR) 3.82, 95% CI 2.48 to 5.88). Overall, 63.9% (95% CI 50.2% to 77.6%) (NIE RR 1.97, 95% CI 1.63 to 2.37) of the TE (RR 4.40, 95% CI 3.18 to 6.07) of social inequalities on risk of adolescent socioemotional behavioural problems was mediated by early-life factors. CONCLUSIONS: About two-thirds of the social inequality in adolescent mental health was explained by early risk factors measured by age 3, highlighting the importance of public health interventions in this period.

How well can poor child health and development be predicted by data collected in early childhood?

BACKGROUND: Identifying children at risk of poor developmental outcomes remains a challenge, but is important for better targeting children who may benefit from additional support. We explored whether data routinely collected in early life predict which children will have language disability, overweight/obesity or behavioural problems in later childhood. METHODS: We used data on 10 262 children from the UK Millennium Cohort Study (MCS) collected at 9 months, 3, and 11 years old. Outcomes assessed at age 11 years were language disability, overweight/obesity and socioemotional behavioural problems. We compared the discriminatory capacity of three models: (1) using data currently routinely collected around the time of birth; (2) Model 1 with additional data routinely collected at 3 years; (3) a statistically selected model developed using a larger set of early year's risk factors for later child health outcomes, available in the MCS-but not all routinely collected. RESULTS: At age 11, 6.7% of children had language disability, 26.9% overweight/obesity and 8.2% socioemotional behavioural problems. Model discrimination for language disability was moderate in all three models (area under the curve receiver-operator characteristic 0.71, 0.74 and 0.76, respectively). For overweight/obesity, it was poor in model 1 (0.66) and moderate for model 2 (0.73) and model 3 (0.73). Socioemotional behavioural problems were also identified with moderate discrimination in all models (0.71; 0.77; 0.79, respectively). CONCLUSION: Language disability, socioemotional behavioural problems and overweight/obesity in UK children aged 11 years are common and can be predicted with moderate discrimination using data routinely collected in the first 3 years of life.

Cross-lagged structural equation models for the relationship between health-related state and behaviours and body bullying in adolescence: findings from longitudinal study ELANA.

We investigated the stability and the directionality of being body bullied and a set of four variables- 1) Body Mass Index (BMI), 2) moderate and vigorous physical activity (MVPA), 3) television time (TV) and 4) video game/computer time (VG)-, termed in the present study as 'health-related state and behaviours (HRSB)'-across adolescence. The Adolescent Nutritional Assessment Longitudinal Study (ELANA) is a cohort study conducted among middle school students from two public and four private schools in Rio de Janeiro-Brazil. We analysed data from 2010 (T1) and 2012 (T2) among 810 adolescents (aged 9-15 at T1). Gender-specific structural equation models (SEM) were estimated, including autoregressive paths for the HRSB and being body bullied over time, correlations at T1 and T2, respectively, and cross-lagged effects. The results presented significant stability coefficients for almost all variables over time in both genders (except for MVPA in boys and girls and TV time among girls). There were positive correlations between BMI and being body bullied, as well as between TV and VG for boys (0.32, p<0.001 and 0.24, p<0.001, respectively) and girls (0.30, p<0.001 and 0.30, p<0.001, respectively) at T1. It remained significant at T2 (boys: 0.18, p<0.05 and 0.16, p<0.01; girls: 0.21, p<0.01 and 0.22, p<0.01, respectively). Examining the cross-lagged paths between being body bullied and HRSB, we observed that the reciprocal model provided the best fit for boys, indicating that BMI at T1 had a significant effect in being body bullied at T2 (0.12, p<0.05) and being body bullied at T1 had an effect on VG at T2 (0.14, p<0.01). Among girls the forward causation model showed the best fit, demonstrating a significant effect of being body bullied at T1 on VG at T2 (0.16, p<0.01). Apart from MVPA, both being body bullying and HRSB were largely stable across adolescence. For boys and girls alike, exposure to being body bullied seemed to increase their time spent on VG, while for boys BMI also predicted being body bullied. This study highlighted the complex interplay between being body bullied and HRSB and the importance of acknowledging gender differences in this context.