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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
Ageing and adult health status in eight lower-income countries: The INDEPTH WHO-SAGE collaboration
Global Health Action, Volume 3, No. SUPPL. 2, Year 2010
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Description
Background: Globally, ageing impacts all countries, with a majority of older persons residing in lower- and middle-income countries now and into the future. An understanding of the health and well-being of these ageing populations is important for policy and planning; however, research on ageing and adult health that informs policy predominantly comes from higher-income countries. A collaboration between the WHO Study on global AGEing and adult health (SAGE) and International Network for the Demographic Evaluation of Populations and Their Health in developing countries (INDEPTH), with support from the US National Institute on Aging (NIA) and the Swedish Council for Working Life and Social Research (FAS), has resulted in valuable health, disability and well-being information through a first wave of data collection in 2006-2007 from field sites in South Africa, Tanzania, Kenya, Ghana, Viet Nam, Bangladesh, Indonesia and India. Objective: To provide an overview of the demographic and health characteristics of participating countries, describe the research collaboration and introduce the first dataset and outputs. Methods: Data from two SAGE survey modules implemented in eight Health and Demographic Surveillance Systems (HDSS) were merged with core HDSS data to produce a summary dataset for the site-specific and cross-site analyses described in this supplement. Each participating HDSS site used standardised training materials and survey instruments. Face-to-face interviews were conducted. Ethical clearance was obtained from WHO and the local ethical authority for each participating HDSS site. Results: People aged 50 years and over in the eight participating countries represent over 15% of the current global older population, and is projected to reach 23% by 2030. The Asian HDSS sites have a larger proportion of burden of disease from non-communicable diseases and injuries relative to their African counterparts. A pooled sample of over 46,000 persons aged 50 and over from these eight HDSS sites was produced. The SAGE modules resulted in self-reported health, health status, functioning (from the WHO Disability Assessment Scale (WHODAS-II)) and well-being (from the WHO Quality of Life instrument (WHOQoL) variables). The HDSS databases contributed age, sex, marital status, education, socio-economic status and household size variables. Conclusion: The INDEPTH WHO-SAGE collaboration demonstrates the value and future possibilities for this type of research in informing policy and planning for a number of countries. This INDEPTH WHO-SAGE dataset will be placed in the public domain together with this open-access supplement and will be available through the GHA website (www.globalhealthaction.net) and other repositories. An improved dataset is being developed containing supplementary HDSS variables and vignette-adjusted health variables. This living collaboration is now preparing for a next wave of data collection. © 2010 Paul Kowal et al.
Authors & Co-Authors
Kowal, Paul
Unknown Affiliation
Kahn, Kathleen
Unknown Affiliation
Ng, Nawi
Unknown Affiliation
Naidoo, Nirmala N.
Unknown Affiliation
Abdulla, Salim Mohammed K.
Unknown Affiliation
Bawah, Ayaga Agula
Unknown Affiliation
Binka, Fred Newton
Unknown Affiliation
Chúc, Nguyen Thi Kim
Unknown Affiliation
Debpuur, Cornelius Y.
Unknown Affiliation
Ezeh, Alex Chika
Unknown Affiliation
Gómez-Olivé, Francesc Xavier
Unknown Affiliation
Hakimi, Mohammad
Unknown Affiliation
Hirve, Siddhivinayak S.
Unknown Affiliation
Hodgson, Abraham V.O.
Unknown Affiliation
Juvekar, Sanjay Kamlakar
Unknown Affiliation
Kyobutungi, Catherine K.
Unknown Affiliation
Menken, Jane A.
Unknown Affiliation
van Minh, Hoang V.
Unknown Affiliation
Mwanyangala, Mathew A.
Unknown Affiliation
Razzaque, Abdur
Unknown Affiliation
Sankoh, Osman A.
Unknown Affiliation
Kim Streatfield P.
Unknown Affiliation
Wall, Stig I.
Unknown Affiliation
Wilopo, Siswanto Agus
Unknown Affiliation
Byass, P.
Unknown Affiliation
Chatterji, Somnath
Unknown Affiliation
Tollman, Stephen Meir
Unknown Affiliation
Statistics
Citations: 198
Authors: 27
Affiliations: 14
Identifiers
Doi:
10.3402/gha.v3i0.5302
Research Areas
Disability
Health System And Policy
Noncommunicable Diseases
Violence And Injury
Study Design
Cross Sectional Study
Grounded Theory
Study Approach
Quantitative
Study Locations
Ghana
Kenya
South Africa
Tanzania