Literature DB >> 12152184

The Millennium Cohort Study.

Kate Smith, Heather Joshi.   

Abstract

The Millennium Cohort Study is the latest in the line of British birth cohort studies. MCS resembles its predecessors which follow people born in 1946, 1958 and 1970 in the intention to become multi-purpose longitudinal data resource charting many aspects of individual's lives over time. The families of a sample of around 20,000 babies are being interviewed during 2001-02, when eligible babies reach 9 months, to establish the conditions from which they set out in life. The survey contrasts with the previous cohort studies in various ways. Instead of taking all births in one week, the sample of births is spread over a year; the births are from a selection of electoral wards, thereby enabling eventual analysis by neighbourhood characteristics; it also over samples children living in deprived areas, wards with high ethnic minority populations and samples have been boosted in Scotland, Wales and Northern Ireland. The latter UK country has not been covered by the other studies. It interviews fathers as well as mothers, and given that its initial funding comes via the ESRC, puts a greater emphasis on socio-economic data than in early parts of the other studies. MCS has been enhanced by additional Government funding. The research team, based at the Institute of Education, aims to deposit a multi-purpose dataset for public use at the ESRC data Archive in the Spring of 2003.

Entities:  

Mesh:

Year:  2002        PMID: 12152184

Source DB:  PubMed          Journal:  Popul Trends        ISSN: 0307-4463


  15 in total

Review 1.  Life course epidemiology.

Authors:  D Kuh; Y Ben-Shlomo; J Lynch; J Hallqvist; C Power
Journal:  J Epidemiol Community Health       Date:  2003-10       Impact factor: 3.710

2.  Methodological aspects of the 1993 Pelotas (Brazil) Birth Cohort Study.

Authors:  Cesar Gomes Victora; Cora Luiza Pavin Araújo; Ana Maria Batista Menezes; Pedro Curi Hallal; Maria de Fátima Vieira; Marilda Borges Neutzling; Helen Gonçalves; Neiva Cristina Valle; Rosangela Costa Lima; Luciana Anselmi; Dominique Behague; Denise Petrucci Gigante; Fernando Celso Barros
Journal:  Rev Saude Publica       Date:  2006-01-04       Impact factor: 2.106

3.  The Generation R Study: Design and cohort profile.

Authors:  Vincent W V Jaddoe; Johan P Mackenbach; Henriëtte A Moll; Eric A P Steegers; Henning Tiemeier; Frank C Verhulst; Jacqueline C M Witteman; Albert Hofman
Journal:  Eur J Epidemiol       Date:  2006-07-07       Impact factor: 8.082

4.  Multiple Imputation for Bounded Variables.

Authors:  Marco Geraci; Alexander McLain
Journal:  Psychometrika       Date:  2018-04-26       Impact factor: 2.500

5.  [Methodology of the Pelotas birth cohort study from 1982 to 2004-5, Southern Brazil].

Authors:  Fernando C Barros; Cesar G Victora; Bernardo L Horta; Denise P Gigante
Journal:  Rev Saude Publica       Date:  2008-12       Impact factor: 2.106

6.  Extending conceptual frameworks: life course epidemiology for the study of back pain.

Authors:  Kate M Dunn
Journal:  BMC Musculoskelet Disord       Date:  2010-02-02       Impact factor: 2.362

7.  Do people with risky behaviours participate in biomedical cohort studies?

Authors:  Anne W Taylor; Eleonora Dal Grande; Tiffany Gill; Catherine R Chittleborough; David H Wilson; Robert J Adams; Janet F Grant; Patrick Phillips; Richard E Ruffin
Journal:  BMC Public Health       Date:  2006-01-23       Impact factor: 3.295

8.  Children born after unplanned pregnancies and cognitive development at 3 years: social differentials in the United Kingdom Millennium Cohort.

Authors:  Elise de La Rochebrochard; Heather Joshi
Journal:  Am J Epidemiol       Date:  2013-07-25       Impact factor: 4.897

9.  The Pelotas birth cohort study, Rio Grande do Sul, Brazil, 1982-2001.

Authors:  Cesar G Victora; Fernando C Barros; Rosângela C Lima; Dominique P Behague; Helen Gon alves; Bernardo L Horta; Denise P Gigante; J Patrick Vaughan
Journal:  Cad Saude Publica       Date:  2003-12-02       Impact factor: 1.632

10.  Predictors of non-response in a UK-wide cohort study of children's accelerometer-determined physical activity using postal methods.

Authors:  Carly Rich; Mario Cortina-Borja; Carol Dezateux; Marco Geraci; Francesco Sera; Lisa Calderwood; Heather Joshi; Lucy J Griffiths
Journal:  BMJ Open       Date:  2013-03-01       Impact factor: 2.692

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