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Maternal Depression and Anxiety Disorders: Longitudinal Secondary Data Analysis, 2020-2022
Creator
Nicodemo, C, University of Oxford
Study number / PID
856044 (UKDA)
10.5255/UKDA-SN-856044 (DOI)
Data access
Information not available
Series
Not available
Abstract
In this project, we aimed to increase what is known about the negative effects of maternal depression and anxiety disorders (MDAD) on the mental health outcomes of children. Mental health is a topical area of research that is receiving increasing attention in the media and is one of five ESRC strategic priorities for investment. The main aim of the project was to help develop an understanding of how mental depression and anxiety disorders are transmitted from one generation to the next and ultimately help to design interventions better able to reduce the consequences of maternal mental health for children. We have used data from QResearch, a large consolidated database derived from anonymized health records from general practices in England matched with hospital administrative data, the Hospital Episode Statistics (HES). Further information is available under Related Resources.Problems relating to Maternal Depression and Anxiety Disorders (MDAD) are common and are known to affect child health and development. In the UK, the cost of perinatal mental health problems has been estimated at £8.1 billion for each birth cohort of children, and 72 percent of this cost is related to the direct impact on the children.
The overarching aim of our proposed research is to examine the effect of MDAD on child health outcomes, with a special focus on the role that MDAD plays in the development of child depression and anxiety disorders (CDAD) in adolescence. In particular, this research will provide robust empirical evidence to understand how depression and anxiety disorders are transmitted from one generation to the next and to help design interventions aimed at reducing the negative consequences of poor maternal mental health for children.
To achieve this aim, we will address the following research questions:
1) Are the negative effects of MDAD on children exclusively explained by genetic transmission and family background characteristics? Or are these negative effects also...
Terminology used is generally based on DDI controlled vocabularies: Time Method, Analysis Unit, Sampling Procedure and Mode of Collection, available at CESSDA Vocabulary Service.
Methodology
Data collection period
30/09/2020 - 29/09/2022
Country
England
Time dimension
Not available
Analysis unit
Individual
Universe
Not available
Sampling procedure
Not available
Kind of data
Numeric
Data collection mode
QResearch is a large, anonymised database of GP records from over 35 million patients with longitudinal data tracking back over 30 years & is linked to mortality, cancer registration & hospital data. In our analysis, we use individual-level information on general practice diagnostics, drug prescriptions, and maternity records from HES, which allows us to link children with their respective mothers. The QResearch linked database has high-quality data to support world-leading research to improve our understanding of disease and improve patient care. Our data includes all singletons born between 2002 and 2010.The mother-baby linkage in QResearch is done via maternal identifiers and year of birth.
Funding information
Grant number
ES/T008415/1
Access
Publisher
UK Data Service
Publication year
2023
Terms of data access
The Data Collection only consists of metadata and documentation as the data could not be archived due to legal, ethical or commercial constraints. For further information, please contact the contact person for this data collection.