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Temporal effects of maternal pyschological distress on child mental health problems at ages 3, 5, 7 and 11: analysis from the UK Millennium Cohort Study
Psychological distress is common among women of childbearing age, and limited longitudinal research suggests prolonged exposure to maternal distress is linked to child mental health problems. We analysed the UK Millennium Cohort Study, a nationally representative sample with data collected throughout childhood. Authors: Hope, S., Pearce, A., Chittleborough, C., Deighton, J., Maika, A., Micali, N., Mittinty, M., Law, C., Lynch, J. (2018).
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Using flawed, uncertain, proximate and sparse (FUPS) data in the context of complexity: learning from the case of child mental health
This paper presents an example of the use of a FUPS dataset in the complex system of child mental healthcare. The paper explores the use of this FUPS dataset to support meaningful dialogue between key stakeholders, including service providers, funders and users, in relation to outcomes of services. The term ‘FUPS’ is proposed to describe these flawed, uncertain, proximate and sparse datasets. Authors: Wolpert, M., Rutter, H. (2018).
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Evaluation of reliable improvement rates in depression and anxiety at the end of treatment in adolescents
The aim of this study was to consider how many adolescents report reliable improvement in anxiety, depression and comorbid depression and anxiety by end of treatment. Authors: Edbrooke-Childs, J., Wolpert, M., Zamperoni, V., Napelone, E., Bear, H. (2018).
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Mental health and wellbeing trends among children and young people in the UK, 1995-2014: Analysis of repeated cross-sectional health surveys
There is a growing concern about the mental health of children and young people (CYP) in the UK, with increasing demand for counselling services, admissions for self-harm and referrals to mental health services. We investigated whether there have been similar recent trends in selected mental health outcomes among CYP in national health surveys from England, Scotland and Wales. Authors: Pitchforth, J., Fahy, K., Ford, T., Wolpert, M., Viner, R. M., & Hargreaves, D. S. (2018).
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What outcomes count? A review of outcomes measured for adolescent depression between 2007 and 2017
This systematic review explored the extent to which multidimensional and multi-informant outcome measurements have been used in clinical research for adolescent depression in the past decade and how patterns have evolved over time. Authors: Krause, K., Bear, H., Edbrooke-Childs, J., & Wolpert, M. (2018).
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Maternal mental health at 5 years and childhood overweight or obesity at 11 years: evidence from the UK Millennium Cohort Study
We sought to determine whether children's exposure to medium or severe distress at 5 years was associated with increased risks of overweight and obesity when they were aged 11 years. We also investigated whether any association was attenuated after accounting for potential confounding and mediating factors. Authors: Hope, S., Micali, N., Deighton, J., Law, C. (2018).
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Prevalence of mental health problems in schools: poverty and other risk factors amongst 28,000 adolescents in England
This study analyses a large-scale community-based dataset of 28 160 adolescents to explore school-based prevalence of mental health problems and characteristics that predict increased odds of experiencing them. Authors: Deighton, J., Lereya, T.L., Casey, P., Patalay, P., Humphrey, N., & Wolpert, M. (2019).
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Evaluating the Peer Education Project in secondary schools
The purpose of this paper is to determine the efficacy of the Peer Education Project (PEP), a school-based, peer-led intervention designed to support secondary school students to develop the skills and knowledge they need to safeguard their mental health and that of their peers. Authors: Eisenstein, C., Zamperoni, V., Humphrey, N., Deighton, J., Wolpert, M., Rosan, C., Bohan, H., Kousoulis, A., Promberger, M., and Edbrooke-Childs, J. (2019).
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Mental health difficulties, attainment and attendance: a cross-sectional study
The aim of this study was to investigate the association between educational attainment, absenteeism and mental health difficulties while controlling for various child characteristics such as special educational needs and socioeconomic background. Authors: Lereya, S.T., Patel, M., dos Santos, J.P.G.A., and Deighton, J. (2019).