Dataset Information

Poverty dynamics and parental mental health: Determinants of childhood mental health in the UK.

ABSTRACT: Using data from the British Millennium Cohort Study (MCS), an ongoing longitudinal study of a cohort of 18,827 children born in the UK in 2000-2001, we investigate important correlates of mental health issues during childhood. MCS respondents were sampled at birth, at age 9 months, and then when they were 3, 5, 7 and 11 years old. Each sweep contains detailed information on the family's SES, parenting activities, developmental indicators, parental relationship status, and indicators of parental mental health. The Strengths and Difficulties Questionnaire (SDQ) and the related Rutter scale were used to identify behavioral and emotional problems in children. In this paper, childhood problems are separated into four domains: hyperactivity, emotional symptoms, conduct problems, and peer problems. We focus on two aspects of this relationship at ages 5 and 11-the role of temporary and persistent poverty and the role of temporary and persistent mental health problems of mothers and fathers. At ages 11 and 5, without other controls in the model, persistent and transitory poverty have strong estimated associations with all four domains, with somewhat stronger estimated effects for persistent poverty. After a set of controls are added, we document that both persistent levels of poverty and transitions into poverty are strongly associated with levels of and transitions into childhood mental health problems. Similarly, sustained levels and transitions into mothers' mental health problems are strongly associated with levels and transitions into children's mental health problems. This is much less so for fathers.

SUBMITTER: Fitzsimons E

PROVIDER: S-EPMC5293621 | biostudies-literature | 2017 Feb

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Poverty dynamics and parental mental health: Determinants of childhood mental health in the UK.

Fitzsimons Emla E Goodman Alissa A Kelly Elaine E Smith James P JP

Social science & medicine (1982) 20161228

Using data from the British Millennium Cohort Study (MCS), an ongoing longitudinal study of a cohort of 18,827 children born in the UK in 2000-2001, we investigate important correlates of mental health issues during childhood. MCS respondents were sampled at birth, at age 9 months, and then when they were 3, 5, 7 and 11 years old. Each sweep contains detailed information on the family's SES, parenting activities, developmental indicators, parental relationship status, and indicators of parental ...[more]

PMID: 28056382

Similar Datasets

Project description:BackgroundThe threats to health, associated restrictions and economic consequences of the COVID-19 pandemic have been linked to increases in mental health difficulties for many. Parents, in particular, have experienced many challenges such as having to combine work with home-schooling their children and other caring responsibilities. Yet, it remains unclear how parental mental health has changed throughout the pandemic or what factors may have mitigated or compounded the impact of the pandemic on parents' mental health.MethodsWe examined monthly survey data from two linked UK-based longitudinal studies: COVID-19: Supporting Parents, Adolescents and Children during Epidemics' (Co-SPACE) and COVID-19: Supporting Parents and Young Children during Epidemics' (Co-SPYCE). Data from 5576 parents/carers of 2-17-year-old children collected between April 2020 and January 2021 was analysed using mixed-effect modelling and latent class growth (mixture) modelling.ResultsParental stress and depression, but not anxiety, were higher during the periods of restrictions. This pattern was most pronounced for parents with primary-school-aged children, those that worked at home or had other adults in the household. Being younger, reporting secondary or below education, working out of home, having secondary-school-aged children or children with special education needs (SEN)/neurodevelopmental disorders (ND) further moderated whether, how and when parental mental health symptoms changed. Although around three quarters of parents reported consistently low mental health symptoms, a substantial minority reported consistently high or increasing symptoms of anxiety, stress and depression. The latter were more likely to be parents who were younger than average, were a single adult in the household, had a pre-existing mental health diagnosis or had a child with special educational needs or a ND.ConclusionsThese findings emphasise how different personal circumstances and pre-existing inequalities shaped how parents were affected by this unprecedented global pandemic and highlight the need for support and consideration to meet the needs of families in the future.

Project description:ObjectivesTo address the lack of individual-level socioeconomic information in electronic healthcare records, we linked the 2011 census of England and Wales to patient records from a large mental healthcare provider. This paper describes the linkage process and methods for mitigating bias due to non-matching.SettingSouth London and Maudsley NHS Foundation Trust (SLaM), a mental healthcare provider in Southeast London.DesignClinical records from SLaM were supplied to the Office of National Statistics for linkage to the census through a deterministic matching algorithm. We examined clinical (International Classification of Disease-10 diagnosis, history of hospitalisation, frequency of service contact) and socio-demographic (age, gender, ethnicity, deprivation) information recorded in Clinical Record Interactive Search (CRIS) as predictors of linkage success with the 2011 census. To assess and adjust for potential biases caused by non-matching, we evaluated inverse probability weighting for mortality associations.ParticipantsIndividuals of all ages in contact with SLaM up until December 2019 (N=459 374).Outcome measuresLikelihood of mental health records' linkage to census.Results220 864 (50.4%) records from CRIS linked to the 2011 census. Young adults (prevalence ratio (PR) 0.80, 95% CI 0.80 to 0.81), individuals living in more deprived areas (PR 0.78, 95% CI 0.78 to 0.79) and minority ethnic groups (eg, Black African, PR 0.67, 0.66 to 0.68) were less likely to match to census. After implementing inverse probability weighting, we observed little change in the strength of association between clinical/demographic characteristics and mortality (eg, presence of any psychiatric disorder: unweighted PR 2.66, 95% CI 2.52 to 2.80; weighted PR 2.70, 95% CI 2.56 to 2.84).ConclusionsLower response rates to the 2011 census among people with psychiatric disorders may have contributed to lower match rates, a potential concern as the census informs service planning and allocation of resources. Due to its size and unique characteristics, the linked data set will enable novel investigations into the relationship between socioeconomic factors and psychiatric disorders.

Project description:BackgroundThe relative importance of income, poverty and unemployment status for mental health is unclear, and understanding this has implications for income and welfare policy design. We aimed to assess the association between changes in these exposures and mental health.MethodsWe measured effects of three transition exposures between waves of the UK Household Longitudinal Study from 2010/11-2019/20 (n=38,697, obs=173,859): income decreases/increases, moving in/out of poverty, and job losses/gains. The outcome was General Health Questionnaire (GHQ), which measures likelihood of common mental disorder (CMD) as a continuous (GHQ-36) and binary measure (score ≥4 = case). We used fixed-effects linear and linear probability models to adjust for time invariant and time-varying confounders. To investigate effect modification, we stratified analyses by age, sex and highest education.ResultsA 10% income decrease/increase was associated with a 0.02% increase (95% CI 0.00, 0.04) and 0.01% reduction (95% CI -0.03, 0.02) in likelihood of CMD respectively. Effect sizes were larger for moving into poverty (+1.8% [0.2, 3.5]), out of poverty (-1.8%, [-3.2, -0.3]), job loss (+15.8%, [13.6, 18.0]) and job gain (-11.4%, [-14.4, -8.4]). The effect of new poverty was greater for women (+2.3% [0.8, 3.9] versus +1.2% [-1.1, 3.5] for men) but the opposite was true for job loss (+17.8% [14.4, 21.2] for men versus +13.5% [9.8, 17.2] for women). There were no clear differences by age, but those with least education experienced the largest effects from poverty transitions, especially moving out of poverty (-2.9%, [-5.7, -0.0]).ConclusionsMoving into unemployment was most strongly associated with CMD, with poverty also important but income effects generally much smaller. Men appear most sensitive to employment transitions, but poverty may have larger impacts on women and those with least education. As the COVID-19 pandemic recedes, minimising unemployment as well as poverty is crucial for population mental health.

Project description:PurposePromoting positive mental health, particularly through enhancing competencies (such as prosocial behaviors and learning skills), may help prevent the development of health risk behaviors in adolescence and thus support future well-being. Few studies have examined how mental health competencies in childhood are associated with adolescent health risk behaviors, which could inform preventative approaches.MethodsUsing UK Millennium Cohort Study data (n = 10,142), we examined how mental health competence (MHC) measured at the end of elementary school (11 years) is associated with self-reported use of cigarettes, e-cigarettes, alcohol, illegal drugs, antisocial behavior, and sexual contact with another young person at age 14 years. A latent measure of MHC was used, capturing aspects of prosocial behavior and learning skills, categorized as high MHC, high-moderate MHC, moderate MHC, and low MHC. Logistic and multinomial regression estimated odds ratios and relative risk ratios for binary and categorical outcomes, respectively, before and after adjusting for confounders. Weights accounted for sample design and attrition and multiple imputation for item missingness.ResultsThose with low, moderate, or high-moderate MHC at age 11 years were more likely to have taken part in health risk behaviors at age 14 years compared with those with high MHC. The largest associations were seen for low MHC with binge drinking (relative risk ratio: 1.6 [95% confidence interval: 1.1-2.4]), having tried cigarettes (odds ratio: 2.2 [95% confidence interval: 1.6-3.1]) and tried illegal drugs (odds ratio: 2.0 [95% confidence interval: 1.3-3.1) after adjusting for confounders (which attenuated results but largely maintained significant findings).ConclusionsMHC in late childhood is associated with health risk behaviors in midadolescence. Interventions that increase children's MHC may support healthy development during adolescence, with the potential to improve health and well-being through to adulthood.

Dataset Information

Poverty dynamics and parental mental health: Determinants of childhood mental health in the UK.

Publications

Poverty dynamics and parental mental health: Determinants of childhood mental health in the UK.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets