UK Data Service data catalogue record for:
|Title:||Ethnicity Coding for the Millennium Cohort Study, First Survey, 2001-2003|
|Alternative title:||UCL Ethnicity Coding for MCS1|
|Depositor:||Kelly, Y., University College London. Department of Epidemiology and Public Health|
Kelly, Y., University College London. Department of Epidemiology and Public Health
|Original data producer(s):||
University of London. Institute of Education. Centre for Longitudinal Studies
Economic and Social Research Council
|Other acknowledgements:||Lidia Panico, University College London. Department of Epidemiology and Public Health|
The citation for this study is:
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Abstract copyright UK Data Service and data collection copyright owner.Ethnicity Coding for the Millennium Cohort Study, First Survey, 2001-2003 was created as part of an ESRC funded project on ethnic differences in health and development during infancy and early childhood among ethnic groups in the UK. The overall objective of the project was to explore how far ethnic differences in markers of infant and early childhood health and development could be explained by socioeconomic disadvantage. The study uses ethnicity data from the parent data file of the Millennium Cohort Study: First Survey, 2001-2003 (MCS1) (available from the UKDA under SN 4683). Users are advised to consult this study for full details of the MCS1 methodology, sampling, and a complete set of documentation.
The pre-existing ethnicity MCS1 variables have been cleaned and recoded. Particular effort has been made to reclassify cohort members of 'other' and 'mixed' groups according to data about their parents' ethnicity.
Further information about the project is available from the ESRC Award page.
The study includes 7 and 14 category ethnicity variables for cohort members and their parents. The MCSID (MCS Research Serial Number) is also included for matching to the main MCS1 data.
|Dates of fieldwork:||June 2001 - June 2003|
No spatial unit
|Kind of data:||
Respondent households included in the main MCS1
Cross-sectional (one-time) study
See the main MCS1 for details of sampling.
|Number of units:||18,552|
|Method of data collection:||
Transcription of existing materials
See the main MCS1 for details of data collection.
|Weighting:||The ethnicity data are not weighted. See the main MCS1 for details of weighting used.|
The main MCS1 parent interview data file available from the UKDA under SN 4683.
|Date of release:|
|First edition:||22 December 2008|
|Copyright:||Copyright Y. Kelly and Institute for Social and Economic Research.|
|Access conditions:||The depositor has specified that registration is required and standard conditions of use apply. The depositor may be informed about usage. See terms and conditions of access for further information.|
|Availability:||UK Data Service|
|Contact:||Get in touch|
|Title||File Name||Size (KB)|
|Study information and citation||UKDA_Study_6073_Information.htm||18|
By principal investigator(s):
Kelly, Y., Watt, R.G. and Nazroo, J. (2006) 'Racial/ethnic differences in breastfeeding initiation and continuation in the United Kingdom and comparison with findings in the United States', Pediatrics, 118(5), pp.1428-1435.
Kelly, Y. et al. (2006) 'Ethnic differences in achievement of developmental milestones by 9 months of age: the Millennium Cohort Study', Developmental Medicine and Child Neurology, 48(10), pp.825-830.
Kelly, Y. (2007) 'Infant health at the beginning of the new century' in (eds.) E. Garret and N. Sheldon Infant mortality: a continuing social problem, Aldershot: Ashgate, pp.229-248.
Panico, L. et al. (2007) 'Ethnic variation in childhood asthma and wheezing illnesses: findings from the Millennium Cohort Study', International Journal of Epidemiology, 36, pp.1093-1102.
Panico, L. and Kelly, Y. (2007) 'Ethnic differences in childhood cognitive development: findings from the Millennium Cohort Study', Journal of Epidemiology and Community Health, 61(1).
Kelly, Y. et al. (2008) 'Why does birthweight vary among ethnic groups in the UK?: findings from the Millennium Cohort Study', Journal of Public Health, ISSN: 1741-3842.
Resulting from secondary analysis: