Nazroo

Information about Nazroo

Published on January 11, 2008

Author: Penelope

Source: authorstream.com

Content

The English Longitudinal Study of Ageing: The past, present and future research agenda:  The English Longitudinal Study of Ageing: The past, present and future research agenda Professor James Nazroo University College London The English Longitudinal Study of Ageing:  Research team International Centre for Health and Society, UCL Institute for Fiscal Studies and UCL National Centre for Social Research plus researchers from Cambridge, Oxford, Nottingham Funding from NIA and UK government departments The English Longitudinal Study of Ageing Impacts of an ageing population?:  Impacts of an ageing population? Does older age necessarily equate with: Illness and physical dependency - a crisis in health care; Poverty and financial dependency - a pension crisis; Not having a role in society and social isolation; Being dissatisfied? ‘A looming catastrophe, as populations top-heavy with frail, retired elderly drain pension and social security funds, overwhelm health care systems, and rely for support on a dwindling working-age population.’ Labour force participation among older men:  Labour force participation among older men Banks and Smith, FES 1968-1996 Cohort differences in income (1996 prices):  Cohort differences in income (1996 prices) Banks and Smith, FES 1968-1996 Chronic disability (Americans aged 65 plus):  Chronic disability (Americans aged 65 plus) Manton et al. 1997 The English Longitudinal Study of Ageing:  The English Longitudinal Study of Ageing Examination of and the relationships between: Health Economic position and activity Social participation, productivity, networks and support Need for longitudinal data to understand these relationships over time and across cohorts Need for data relevant to current policy questions ELSA will produce a database that can be used to tackle key policy and scientific questions; and that is accessible to and meets the needs of the research and policy communities ELSA broad questionnaire coverage:  ELSA broad questionnaire coverage Demographics Self-assessed health Diagnosed disease and symptoms ADLs and IADLS Eyesight, hearing, pain, falls Mental health Cognitive function Quality of received medical care Health behaviours Performance measures Biomedical measures Housing Household income Wealth Pensions and retirement Employment status and job characteristics Consumption Psychosocial factors and well-being Social participation Expectations for the future Links to geographical and administrative data ELSA sample design:  ELSA sample design Sample is approximately 11,500 people born before 1st March 1952 who are in the private household sector at baseline. Sample drawn from HSE (1998, 1999,2001) - HSE measures form ELSA baseline. Sample also includes spouses outside the age range and partners who joined the household since the HSE baseline (giving 12,100 cases in total). Those incapable of doing the interview have a proxy interview. Interviewed every two years, with a biomedical assessment every four years. Exit interviews will be carried out with the partners or carers of people who died after wave 1. ELSA timetable for waves 1 and 2:  ELSA timetable for waves 1 and 2 1998, 1999 and 2000 Oct 2000 to Feb 2002 March 2002 to Feb 2003 March 2003 to March 2004 April 2004 to March 2005 March 2005 to Sept 2005 HSE fieldwork Development work Wave 1 fieldwork Preparation of data for archiving Analysis of data (Wave 1 report end 2003) Development of wave 2 Wave 2 ELSA fieldwork, including nurse visit Data archiving (deposited summer 2004) Preparation of wave 2 data for archiving Analysis and reporting of data Development of further waves Some ELSA wave 1 findings:  Some ELSA wave 1 findings Marmot, M., Banks, J., Blundell, R., Lessof, C. and Nazroo, J. (2003) Health, wealth and lifestyles of the older population in England: The 2002 English Longitudinal Study of Ageing, London: The Insititute for Fiscal Studies www.ifs.org.uk/elsa Self-assessed health: women:  Self-assessed health: women Source: Marmot et al. 2003 Health outcomes and class:  Health outcomes and class Source: Marmot et al. 2003 Fair/poor self reported health, wealth and age:  Fair/poor self reported health, wealth and age Source: Marmot et al. 2003 The distribution of financial wealth:  The distribution of financial wealth Aged 60-74 only Within age groups deciles Source: Marmot et al. 2003 Slide16:  Economically inactive by age and wealth quintile: men Source: Marmot et al. 2003 Retired by age and private pension type (Men with private pensions):  Retired by age and private pension type (Men with private pensions) Source: Marmot et al. 2003 Membership of organisations by class: men:  Membership of organisations by class: men Source: Marmot et al. 2003 Plans for the next funding cycle:  Plans for the next funding cycle Proposal now under review Content of core data collection Modelled on wave 1 and wave 2 instruments Will need to reflect national policy agenda and changes in this Will be influenced by international policy agenda and how this is being taken on by the studies collaborating with ELSA (HRS, SHARE etc.) Additions to core ELSA data collection: Wave 3 (2006), life history interview Wave 4 (2008), nurse visit Experimental/development work at each wave (e.g. well-being, vignettes, consumption, new biomedical and genetic measures) Timetable for next funding cycle (waves 3 and 4):  Timetable for next funding cycle (waves 3 and 4) October 2005 to March 2006 April 2006 to Feb 2007 March 2007 to March 2008 April 2008 to March 2009 April 2009 to April 2010 April 2010 on Development work Wave 3 fieldwork, including retrospective Preparation of data for archiving, analysis etc. Wave 4 ELSA fieldwork, including nurse visit Preparation of data for archiving, analysis etc. Future funding for wave 5 onwards The research questions: some examples:  The research questions: some examples The nature and timing of retirement and post-retirement labour market activity. The determinants of economic well-being in older age. Cognitive function and its impact on decision making among older people. Disability and the compression of morbidity. Economic, social and health inequalities in an ageing population. Social participation and social productivity at older ages.

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