Combining social and bio-medical data collection: pros and cons of different approaches

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Workshop

This workshop comprised presentations from a range of UK longitudinal studies regarding the advantages and disadvantages of the different approaches to combining social and bio-medical data collection.

About the workshop

Combining objective measurements of biomarkers with self-reported information about lifestyles and behaviour in longitudinal studies offers enormous research potential.

This is becoming increasingly common and studies from different disciplinary traditions take different approaches to this. For example, some studies use clinic visits or nurse home visits for bio-measures in combination with primarily remote self-completion methods for self-report data. Others use an interviewer home visit for self-report data followed by a nurse home visit for bio-measures. There is also increasing interest in the collection of bio-measures by interviewers in a home setting.

This workshop comprised presentations from a range of UK longitudinal studies regarding the advantages and disadvantages of the approaches they have used, particularly in relation to cost, response rates and data quality. The aim was to promote a shared understanding across disciplines and to discuss scientific, methodological and operational challenges.

This was a closed event for members of staff at CLOSER’s partner organisations and other invited studies.

More information

Read CLS Survey Manager, Matt Brown’s blog about combining social and biomedical data collection.

Outline of the day

Session 1Chair: Lynn Molloy (School of Social and Community Medicine, University of Bristol)

Using nurses as interviewers in a biomedical follow-up of the 1970 British Cohort Study – Matt Brown (UCL Institute of Education)

In-home collection of saliva samples and physical measurements in the Millennium Cohort Study- Emla Fitzsimons (UCL Institute of Education)

Data collection procedures in ELSA – Andrew Steptoe (Institute of Epidemiology and Health, UCL)

The health assessment in Understanding Society: lessons learned and next steps – Meena Kumari (ISER, University of Essexl)

Session discussion

 

Session 2Chair: Alice Sullivan (UCL Institute of Education)

Delivering science: A pragmatic approach to data collection in the MRC National Survey of Health and Development– Andy Wong (MRC Unit for Lifelong Health and Ageing, UCL)

Collecting biomedical data: the ALSPAC case – Lynn Molloy (School of Social and Community Medicine, University of Bristol)

Collecting social and health-related data in UK Biobank – Naomi Allen (Nuffield Department of Population Health, University of Oxford)

Whitehall II data collections: cost, response rates and data quality considerations’ – Aida Sanchez (Institute of Epidemiology and Health, UCL)

Session discussion

 

General discussionChair: Alissa Goodman (UCL Institute of Education)

Contact

If you require further information or have any questions, please contact Jennie Blows (j.blows@ucl.ac.uk).