Understanding Society Conference: Combining Biological and Social Data

When: Thu 6 Dec 2018 09:30 am - Thu 6 Dec 2018 05:30 pm
Where: Broadway House, Tothill Street, London, SW1H 9NQ - View Map

What are the links between childhood circumstances and allostatic load? How does shift working impact on associations with DNA methylation and sleep patterns? Can machine learning help us understand the links between social, health and biomarker data when looking at predictors for future health? How does neighbourhood air pollution and green space affect inflammatory markers?

The Understanding Society Conference: Combining Biological and Social Data will be sharing novel findings into the links between our social environment and our biology. Drawing together researchers from many different specialisms, the conference is aimed at researchers from a wide range of disciplines, including health economists, social epidemiologists, medical sociologists, health geographers and survey methodologists, as well as researchers who want to learn more about the use of biomarkers in social research.

As well as hearing about the wide variety of research that has used Understanding Society biomarker, genetics and epigenetics data, the conference will also include time for discussion. The biomarker team from Understanding Society will also be available to answer any additional questions about the data.

Provisional Programme:

9.30 - 10.00

Registration and coffee

10.00 - 10.10 Welcome - Michaela Benzeval, Director, Understanding Society
Session one: General SEP and Biomarker papers - Chair Michaela Benzeval
10.10 - 10.30

Social class differences in objective health measures (biomarkers): evidence from Understanding Society

Presenter: David Blane, Imperial College London

10.30 - 10.50

The association between self-rated health and biomarker levels is modified by age, gender and household income

Presenter: Pia Chapparo, Tulane University

10.50 - 11.10

Utlising machine learning approaches for comparing the contribution of different types of data for predicting an individual's r

Presenter: Mark Green, University of Liverpool

11.10 - 11.30

Inflamatory biomarkers of stress mediate the effect of socioeconomic position on health: a latent growth curve model fo the UK

Presenter: Eleanora Iob, University College London

11.30 - 11.45 Discussion
Session two: Role of transport and environment - Chair Michaela Benzeval
114.45 - 12.05

Neighbourhood-level air pollution and greenspace and inflammation in adults

Presenter: Theodora Kokosi, UCL Institute of Education

12.05 - 12.25

Active travel and development diabetes: particularly beneficial for those at high risk?

Presenter: Anthony Laverty, Imperial College London

12.25 - 12.35 Discussion
12.35 - 13.20 Lunch
Session three: Allostatic load - Chair Meena Kumari
13.20 - 13.40

Allostatic Load: what is it and does its composition vary by age? An examination of the Understanding Society biomarkers data

Presenter: Cara Booker, University of Essex

13.40 - 14.00

Childhood circumstances, life course trajectories and allostatic load in later midlife

Presenter: Thijs van der Broek, London School of Economics

14.00 - 14.20

Understanding the association between asthma and allostatic load

Presenter: Luke Barry, Queen's University Belfast

14.20 - 14.40 Discussion
Session four: Methylation - Chair Meena Kumari
14.40 - 15.00

Shift work, DNA methylation and circadian disruption: findings from Understanding Society

Presenter: Rebecca Richmond, University of Bristol

15.00  - 15.20

Utilising an epigenetic biomarker of smoking in Understanding Society

Presenter: Alexandria Andrayas, University of Essex

15.20 - 15.30 Discussion
15.30 - 16.00 Break
Session five: Methods - Chair Paul Clarke
16.00 - 16.20

Testosterone, risk, and socieconomic position of British men: exploring causal directionality

Presenter: Amanda Hughes, University of Bristol

16.20 - 16.40

Investigating interview and nurse effects on nonresponse to biological data collection in Understanding Society

Presenter: Fiona Pashazadeh, University of Manchester

16.40 - 17.00


17.00 End


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