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Treating Longitudinal Data as Longitudinal: Comparing Models to Describe Employment Status and Health trajectories in British household Survey Panel

Researchers

Gopalakrishnan Netuveli

Gopalakrishnan Netuveli
Imperial College

Email:g.netuveli@ic.ac.uk

web: http://www1.imperial.ac.uk/medicine/people/g.netuveli.html

Abstract:

Poor health is not inevitable due to ageing, but most people perceive ageing as a risk for ill health.  The risk is greater for the poor.  But it is not a question of poverty causing ill health or vice versa, rather it might be that same person happens to be poor and ill.  Unravelling such questions requires that one should look at the paths people take during the course of their life and how they reach some particular stage.  Such information is now readily available for large samples of people.  In the data each path is represented by points when information was collected.  A limitation to their use is the diffidence researchers have in using appropriate methods, probably due to their complexity.

The proposed research looks at two of the paths people take;  their work status and their health status.  The objective of the research is to identify the structure of points representing the paths.  Three structures are possible:  (1) each point is determined only by the one immediately before it; (2) all points preceding a point have a straight influence on it; (3) same as (2) but the influence is curved.  In addition the research will test whether both paths run in parallel.  We will also treat each path as a pattern of points without any reference to structure.

The research will be carried out on British Household Panel Survey (BHPS), with data from 11 time points, each of the years between 1991 and 2001.  Work status will be measured as employment, unemployed, retired or sick; and health as self-assessed health, limitations in functioning, and psychological well being.  The applicant will gain the required expertise from the mentor and co-mentor and through visiting fellowships with relevant experts.

Department:

Primary Care and Social Medicine, Imperial College

Duration:

1st Oct 2006 - 31st December 2007

Grant Type:

Research Fellowship

Publications

Netuveli, G. (2010) Employment status and health trajectories, in Stillwell, J., Norman, P., Thomas, C. and Surridge, P. (eds.) Spatial and Social Disparities Understanding Population Trends and Processes Volume 2, Springer, Dordrecht.

Netuveli, G. (2010) Using sequence matching to draw inferences about trajectories: the fascis analysis, to be submitted to IJRSM

Netuveli, G., Bartley, M., Wiggins, R.D, Blane, D.B. (2010) Thinking longitudinally: Comparing models to describe employment status and health trajectories in British Household Panel Survey, Under preparation
Bartley, M. and Netuveli, G. (2010) Inflammatory biomarkers and exit from labour force in ELSA, in preparation.

Presentations

Netuveli, G (2008) Cross-national comparison of quality of life in Europe, Russia and USA, Presentation at the European Sociological Association Meeting, September.

Netuveli, G. (2008) Quality of life in Europe, cross-national comparison, Discussion at Four centres initiative, INSERM, Paris, September.

Netuveli, G. (2008) Bouncing back from adversity: a study of resilience using trajectories for older citizens in the BHPS, Presented Departmental Seminar, Institute of Education, February.

Netuveli, G. (2007) Wellbeing and welfare state, presentation at WeD conference at University of Bath, June.

Netuveli, G., (2007) Trajectories of health and employment, Presentation at Montreal University, Montreal, May.

Netuveli, G. (2007) Presentation of preliminary results from my work on sequence analysis and development of fascis approach, 27 March.

Netuveli, G. (2007) Treating Longitudinal Data as Longitudinal: Comparing Models to Describe Employment and Health Trajectories in British Household Panel Survey, Presentation at the UPTAP workshop, Leeds University, 22 March

Netuveli, G. (2008) Presentation of the findings from latent class growth analysis of employment and health trajectories. 18 March