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MHINT SIGNED

Genetic, behavioural and cognitive mechanisms underpinning the association between mother and offspring mental health problems: mental (M) health (H) intergenerational transmission (INT) -(MHINT)

Total Cost €

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EC-Contrib. €

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Partnership

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Project "MHINT" data sheet

The following table provides information about the project.

Coordinator
UNIVERSITY OF BRISTOL 

Organization address
address: BEACON HOUSE QUEENS ROAD
city: BRISTOL
postcode: BS8 1QU
website: www.bristol.ac.uk

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country United Kingdom [UK]
 Project website https://www.researchgate.net/project/Mental-Health-Intergenerational-Transmission-MHINT
 Total cost 1˙499˙611 €
 EC max contribution 1˙499˙611 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2017-STG
 Funding Scheme ERC-STG
 Starting year 2017
 Duration (year-month-day) from 2017-12-01   to  2022-11-30

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    UNIVERSITY OF BRISTOL UK (BRISTOL) coordinator 1˙499˙611.00

Map

 Project objective

Despite decades of research, and the introduction of parenting interventions, children of mentally ill mothers remain substantially more likely to have mental health problems themselves. I propose to shed new light on why mental health problems in a mother are passed on to her child, and help break this reinforcing cycle of mental health risk across generations. In order to harness the potential of modifying parenting for the prevention of child mental health risk, I will study parenting using more detailed, ecologically valid and genetically sensitive designs than have been done before. Objectives: 1: To investigate the respective role of genetic and environmental (chiefly parenting) mechanisms in explaining associations between mother and child mental health. HOW: using a consortium of international cohorts with intergenerational genetic and phenotypic data (n>10,000) and, for the first time, modeling genetic risk which is and is not transmitted from mother to child to test alternative hypotheses. 2: To identify behavioural manifestation of maternal mental health, in observed mother-infant interaction, in an ecologically valid way. HOW: recording 300 mother- child dyads at home, using novel wearable cameras, in the next generation of a key cohort (ALSPAC-G2). 3: To identify cognitive underpinnings of maternal behaviour. HOW: including cognitive tasks (with eye tracking) as new measures in ALSPAC-G2, applying computational models to cognitive and (uniquely) real life data (measured in 2). 4: To establish whether modification of maternal parenting (highlighted in 1-3), changes child mental health. HOW: systematic review of parenting intervention trials and new synthesis methods to extract which intervention components reduce child mental health problems. My study will provide critical new evidence regarding the nature of parenting interventions that have potential to improve child mental health and break intergenerational transmission of mental health problems.

 Publications

year authors and title journal last update
List of publications.
2018 Rebecca M. Pearson, Rebecca E. Carnegie, Callum Cree, Claire Rollings, Louise Rena-Jones, Jonathan Evans, Alan Stein, Kate Tilling, Melanie Lewcock, Debbie A. Lawlor
Prevalence of Prenatal Depression Symptoms Among 2 Generations of Pregnant Mothers
published pages: e180725, ISSN: 2574-3805, DOI: 10.1001/jamanetworkopen.2018.0725
JAMA Network Open 1/3 2019-08-30

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