The Indivisibility of Parental and Child Mental Health and Why Poverty Matters.

PURPOSE: To ascertain to what extent parental and children's mental health wellbeing are inter-related over time. METHODS: We used a birth cohort study of 5,217 children in Scotland followed up from birth to adolescence. We fitted a Random Intercept Cross-lagged Panel Model for parental mental health and children's conduct problems and emotional symptoms. We included longitudinal patterns of poverty as the main covariate and some demographic control variables. RESULTS: The effects of parental mental health and child conduct problems and emotional symptoms on one another are roughly equal in early childhood. At younger ages, parents with poorer mental health tend to negatively affect their children's conduct and the conduct problems of a child seem to impact negatively on their parents' mental health. At older ages, it is children's emotional symptoms, but not conduct problems, that tend to have a reciprocal effect on parental mental health. Regarding structural inequalities, the effect of poverty on parents' and children's mental health is categorically the largest and continues to accrue throughout the whole period, intensifying mental health problems for both parents and children over time. DISCUSSION: Children's and parents' wellbeing is a bidirectional process. This interdependency needs to be acknowledged and addressed in policy. To foster children's wellbeing, we also need to foster parents' wellbeing. Furthermore, all interventions that address mental health and wellbeing in parents and children and that do not also tackle structural inequalities, such as poverty, will have limited success.

Methods for analysing the relationship between poverty, parental work intensity, child emotional symptoms and conduct problems over time.

This article exposes the methods employed to analyse the complex associations between poverty and work intensity over time on the longitudinal trajectories of mental health wellbeing in a cohort of children. This study used data from nine waves of birth cohort 1 of the Growing Up in Scotland (GUS) study (2005/06-2017/18) to fit a bivariate multilevel non-linear growth curve model for the change in conduct problems and emotional symptoms of children over time with the trajectories of poverty and parental work intensity over time as the main covariates of interest. We explain in detail: (a) how we arrive at valid measures for our outcome of interest by testing for longitudinal measurement invariance and (b) the principled approach of growth mixture modelling undertaken to derive our main covariates of interest. Both procedures are the preamble for the main model of interest that addresses the substantive research question of how changes over time in poverty and parental employment are associated with changes over time in children's wellbeing.•We expose the rationale behind and the procedures for implementing Longitudinal Measurement Invariance testing for the repeated measures of emotional and conduct problems.•We expose the rationale behind and the procedures for implementing a growth mixture modelling approach to derive longitudinal measures of poverty and work intensity.•We provide details of the bivariate growth curve model fitted to analyse the effect of the derived longitudinal measures of poverty and work intensity on the valid longitudinal measures of emotional and conduct problems.

Poverty, parental work intensity and child emotional and conduct problems.

Poverty is known to be associated with poorer child mental wellbeing. Relatedly, the security and quality of employment are reported to affect adult wellbeing. Less is known about how both poverty and parental employment affect children's mental wellbeing. This paper uses nine waves (2005/06-2017/18) of the Growing Up in Scotland (GUS) study to examine how the longitudinal trajectories of poverty and work intensity are associated with the longitudinal trajectories of mental wellbeing in a nationally representative sample of 3994 children (ages 0 to 12). This analysis was conducted via a bivariate multilevel non-linear growth curve model for the widely used Strengths and Difficulties Questionnaire (SDQ) subscales of conduct problems and emotional symptoms. Results show that unstable work intensity and poverty trajectories arising from the 2008 financial crisis are associated with substantial changes in the trajectories of conduct and emotional problems, but with key differences between the individual outcomes: increasing work intensity is associated with around a fifth of a standard deviation increase in conduct problems; decreasing work intensity over time is associated with around a fifth of a standard deviation increase in emotional problems; material deprivation is associated with an increase in both conduct and emotional problems, at around a tenth of a standard deviation; and longitudinal income poverty trajectories are associated with up to around a fifth of a standard deviation increase in conduct problems, but not emotional symptoms. These findings are discussed with the purpose of informing policies to tackle the effects of unstable and/or changing socioeconomic circumstances on children's mental health wellbeing in the context of an economic crisis, as well as its implications for the contemporary socioeconomic landscape and the devastating effects expected of the COVID-19 crisis.

The ACE Index: mapping childhood adversity in England.

BACKGROUND: Studies of adults show that adverse childhood experiences (ACEs) are associated with health and social problems and are more common among people living in deprived areas. However, there is limited information about the geographical pattern of contemporary ACEs. METHODS: We used data from the police, social services, schools and vital statistics in England to calculate population rates of events that represent childhood adversity. We constructed an 'ACE Index' that summarizes the relative frequency of ACEs at local authority level, informed by the methods of the Index of Multiple Deprivation. We explored associations between the ACE Index and local characteristics in cross-sectional ecological analysis. RESULTS: The ACE Index was strongly associated with the proportion of children that live in income-deprived households (child poverty). In addition, the ACE Index was independently associated with higher population density and was higher in certain regions, particularly the north-east. CONCLUSIONS: The association between ACEs and child poverty provides evidence of a process in which deprivation increases the risk of adverse experiences in childhood. The ACE Index can inform allocation of resources for prevention and mitigation of ACEs.

Seven key investments for health equity across the lifecourse: Scotland versus the rest of the UK.

While widespread lip service is given in the UK to the social determinants of health (SDoH), there are few published comparisons of how the UK's devolved jurisdictions 'stack up', in terms of implementing SDoH-based policies and programmes, to improve health equity over the life-course. Based on recent SDoH publications, seven key societal-level investments are suggested, across the life-course, for increasing health equity by socioeconomic position (SEP). We present hard-to-find comparable analyses of routinely collected data to gauge the relative extent to which these investments have been pursued and achieved expected goals in Scotland, as compared with England and Wales, in recent decades. Despite Scotland's longstanding explicit goal of reducing health inequalities, it has recently been doing slightly better than England and Wales on only one broad indicator of health-equity-related investments: childhood poverty. However, on the following indicators of other 'best investments for health equity', Scotland has not achieved demonstrably more equitable outcomes by SEP than the rest of the UK: infant mortality and teenage pregnancy rates; early childhood education implementation; standardised educational attainment after primary/secondary school; health care system access and performance; protection of the population from potentially hazardous patterns of food, drink and gambling use; unemployment. Although Scotland did not choose independence on September 18th, 2014, it could still (under the planned increased devolution of powers from Westminster) choose to increase investments in the underperforming categories of interventions for health equity listed above. However, such discussion is largely absent from the current post-referendum debate. Without further significant investments in such policies and programmes, Scotland is unlikely to achieve the 'healthier, fairer society' referred to in the current Scottish Government's official aspirations for the nation.

Do changes in objective and subjective family income predict change in children's diets over time? Unique insights using a longitudinal cohort study and fixed effects analysis.

BACKGROUND: While an association has been established between low income and poor diet using cross-sectional data, such analysis cannot account for confounding by unobserved characteristics correlated with income and diet, and changes in income and diet cannot be tracked over time. This paper, using longitudinal panel data, explores whether falls in objective and subjective family income predict deterioration in children's diets over time. METHODS: This paper uses panel data from the nationally representative birth cohort study Growing Up in Scotland. 3279 families have valid data on all dependent, independent and control variables for both time points. Dietary data were collected using maternal recall at sweeps 2 and 5 when the children were aged 22 and 58 months, respectively. Mothers reported on children's variety of consumption of vegetables, fruit and on the frequency of consumption of crisps, sweets and sugary drinks. The dietary variables were ordinal and were analysed using multivariate fixed effects ordinal logistic regression models. RESULTS: Controlling for time-varying confounders (children's food fussiness, maternal social class, maternal education, family composition, maternal employment) and for family and child time-invariant characteristics, moving from the highest to the lowest income band was linked to a smaller chance of increased fruit variety from 22 to 58 months (OR=0.42, 95% CI 0.21 to 0.82). Mothers who transitioned from 'living very comfortably' to 'finding it very difficult' to cope on current income had children who consumed fewer fruit varieties over time (OR=0.40, 95% CI 0.19 to 0.85), and who increased their frequency of consumption of crisps (OR=2.03, 95% CI 1.05 to 3.94) and sweets (OR=2.23, 95% CI 1.18 to 4.20). CONCLUSIONS: The diets of young children in Scotland deteriorated between the ages of 2 and 5 years across the entire socioeconomic spectrum. Additionally, deterioration in subjective income predicted less healthy diets for children.