Understanding Society: Pregnancy and Early Childhood (PEACH), 2009-2022

DOI

Abstract copyright UK Data Service and data collection copyright owner.Understanding Society, (UK Household Longitudinal Study), which began in 2009, is conducted by the Institute for Social and Economic Research (ISER) at the University of Essex and the survey research organisations Kantar Public and NatCen. It builds on and incorporates, the British Household Panel Survey (BHPS), which began in 1991.

Understanding Society (UK Household Longitudinal Study), which began in 2009, is conducted by the Institute for Social and Economic Research (ISER) at the University of Essex and the survey research organisations Kantar Public and NatCen. It builds on and incorporates, the British Household Panel Survey (BHPS), which began in 1991. The annual information across a wide range of topics gathered as part of Understanding Society before and after childbirth, coupled with data on the entire family, provides contextual insight into the development of children. Moreover, all children in the household are themselves participants of Understanding Society from birth, parents provide information on their child’s health and development until the age of 10, when data is gathered directly from all children. The Pregnancy and Early Childhood (PEACH) dataset consists of a single crosswave file that brings together the key data reported by parents for all children aged under 10 years as reported in the w_child file, w_newborn file and information on pregnancy and parenting styles from w_indresp files across waves 1 to 13 of the main study. The information is provided at the child level using the child's identifier (crosswave person identifier - pidp) to ensure each row is uniquely identifiable. In addition, the pidp of the parent or responsible adult providing information at different waves is included to make it easy to link back to family circumstances. A total of 303 variables are included, created from 164 questions. Full details can be found in the user guide. This dataset is designed to be linked to the main Understanding Society datasets SN 6614 (end user licence), SN 6931 (special licence) or SN 6676 (secure access), so that the child’s development can be related to their broader family circumstances. Information can be linked for the child using the crosswave personal identifier variables beginning with “pidp” as appropriate or for the parent providing the information. Latest edition information For the third edition (March 2024), data from Wave 13 of the main study have been added to the data file, and the user guide has been updated accordingly. Co-funders In addition to the Economic and Social Research Council, co-funders for the study included the Department of Work and Pensions, the Department for Education, the Department for Transport, the Department of Culture, Media and Sport, the Department for Community and Local Government, the Department of Health, the Scottish Government, the Welsh Assembly Government, the Northern Ireland Executive, the Department of Environment and Rural Affairs, and the Food Standards Agency.

Sub-sample of the Understanding Society Study. See the User Guide for details of sampling.

Multi-stage stratified random sample

Compilation/Synthesis

Identifier
DOI https://doi.org/10.5255/UKDA-SN-9075-3
Metadata Access https://datacatalogue.cessda.eu/oai-pmh/v0/oai?verb=GetRecord&metadataPrefix=oai_ddi25&identifier=2d511720450ebd72d2adcf878d8bf5cb567acc3b2b6f64a04cd4fc8e122cbe41
Provenance
Creator University of Essex, Institute for Social and Economic Research
Publisher UK Data Service
Publication Year 2023
Funding Reference Economic and Social Research Council
Rights Copyright Economic and Social Research Council; <p>The Data Collection is available to UK Data Service registered users subject to the <a href="https://ukdataservice.ac.uk/app/uploads/cd137-enduserlicence.pdf" target="_blank">End User Licence Agreement</a>.</p><p>Commercial use of the data requires approval from the data owner or their nominee. The UK Data Service will contact you.</p>
OpenAccess true
Representation
Resource Type Numeric
Discipline Social Sciences
Spatial Coverage United Kingdom