Royal Statistical Society Edinburgh Local Group - The Scottish Health Survey
The next meeting of the Edinburgh local group of the Royal Statistical Society will take place on Tuesday 15th November 2011, and will be on "The Scottish Health Survey"; a full abstract is given below.
There will be two speakers - Catherine Bromley (Deputy Director of the Scottish Centre for Social Research, and director of the 2008-11 Scottish Health Survey) and Linsay Gray (Investigator Scientist, MRC/CSO Social and Public Health Sciences Unit, Glasgow and Lecturer (Honorary), College of Medical, Veterinary and Life Sciences, University of Glasgow).
The meeting will take place at the ICMS, 15 South College Street, Edinburgh EH8 9AA. The meeting will start at 6pm, with tea and coffee available from 5.30pm.
The event is free, and all are welcome.
For more information, please contact Adam Butler, Secretary of the Edinburgh local group of the Royal Statistical Society http://www.bioss.ac.uk/staff/adam/rsse/
The Scottish Health Survey - Abstract
Scottish Health Survey - past, present and future (Catherine Bromley)
The Scottish Health Survey is an important research resource for Scotland. It provides both cross-sectional and longitudinal analysis opportunities on a range of topics, with a time series dating back to 1995. It covers general health and mental wellbeing, the burden of
cardiovascular and respiratory disease, and behavioural risk factors (smoking, drinking, physical activity, diet, obesity). In addition to self-reported measures, it includes objective biomeasures collected via a nurse visit (blood pressure; lung function; waist/hip circumference; saliva, urine and venous blood samples). The survey underwent a number of methodological changes in 2008, and is about to undergo more changes from 2012. This paper will outline the current analysis potential of the study and set out the implications of the changes being introduced for
future analyses.
Socioeconomic gradients in coronary heart disease - the relative role of lifestyle (Linsay Gray)
Cardiovascular disease (CVD) is known to be strongly associated with socio-economic status (SES). Aspects of lifestyle such as cigarette smoking, alcohol consumption, physical activity, diet and body mass index impact on health and are also independently linked with SES, and
thus may drive the CVD-SES correlations. Knowledge of the relative impact of individual and combined contributions of lifestyle factors is essential for tackling socio-economic inequalities in health, but this has not been well quantified. We address this by applying Cox proportional hazards regression using the relative index of inequality in prospective data created by record linkage of Scottish Health Survey 2003 data to hospital admission and death records.
