The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.
Data Resource Profile: The World Health Organization Study on global AGEing and adult health (SAGE)
Open accessAbstract
Population ageing is rapidly becoming a global issue and will have a major impact on health policies and programmes. The World Health Organization's Study on global AGEing and adult health (SAGE) aims to address the gap in reliable data and scientific knowledge on ageing and health in low- and middle-income countries. SAGE is a longitudinal study with nationally representative samples of persons aged 50+ years in China, Ghana, India, Mexico, Russia and South Africa, with a smaller sample of adults aged 18-49 years in each country for comparisons. Instruments are compatible with other large high-income country longitudinal ageing studies. Wave 1 was conducted during 2007-2010 and included a total of 34 124 respondents aged 50+ and 8340 aged 18-49. In four countries, a subsample consisting of 8160 respondents participated in Wave 1 and the 2002/04 World Health Survey (referred to as SAGE Wave 0). Wave 2 data collection will start in 2012/13, following up all Wave 1 respondents. Wave 3 is planned for 2014/15. SAGE is committed to the public release of study instruments, protocols and meta- and micro-data: access is provided upon completion of a Users Agreement available through WHO's SAGE website (www.who.int/healthinfo/systems/sage) and WHO's archive using the National Data Archive application (http://apps.who.int/healthinfo/systems/surveydata).
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
A Survey Method for Characterizing Daily Life Experience: The Day Reconstruction Method
Kahneman, D., Krueger, A. B., Schkade, D. A., Schwarz, N., & Stone, A. A. (2004) · Science · doi:10.1126/science.1103572 · Cited by 3,422
Aging, natural death, and the compression of morbidity
Fries, J. F. (1980) · New England Journal of Medicine · doi:10.1056/nejm198007173030304 · Cited by 3,356
International Standard Classification of Education, ISCED 1997
UNESCO United Nations Educational, S. A. C. O. (2003) · Advances in Cross-National Comparison · doi:10.1007/978-1-4419-9186-7_10 · Cited by 2,351
Statistical Analysis of Correlated Data Using Generalized Estimating Equations: An Orientation
Hanley, J. A. (2003) · American Journal of Epidemiology · doi:10.1093/aje/kwf215 · Cited by 2,185
Health systems performance assessment: debates, methods and empiricism.
Murray, C. J. L., & EVANS, D. B. (2003) · Cited by 855
The Informant Questionnaire on Cognitive Decline in the Elderly (IQCODE): a review
Jorm, A. F. (2004) · International Psychogeriatrics · doi:10.1017/s1041610204000390 · Cited by 823
Changing Concepts of Morbidity and Mortality in the Elderly Population
Manton, K. G. (1982) · The Milbank Memorial Fund Quarterly. Health and Society · doi:10.2307/3349767 · Cited by 758
Gruenberg, E. M. (1977) · The Milbank Memorial Fund Quarterly. Health and Society · doi:10.2307/3349592 · Cited by 626
GRUENBERG, E. M. (2005) · The Milbank Quarterly · doi:10.1111/j.1468-0009.2005.00400.x · Cited by 612
Measuring and Monitoring Success in Compressing Morbidity
Fries, J. F. (2003) · Annals of Internal Medicine · doi:10.7326/0003-4819-139-5_part_2-200309021-00015 · Cited by 373
Cited by
The World report on ageing and health: a policy framework for healthy ageing
Beard, J. R., Officer, A., de Carvalho, I. A., Sadana, R., Pot, A. M., Michel, J.-P., Lloyd-Sherlock, P., Epping-Jordan, J. E., Peeters, G. M. E. E. (., Mahanani, W. R., et al. (2016) · The Lancet · doi:10.1016/s0140-6736(15)00516-4 · Cited by 3,287
Self-citationMacroeconomic implications of population ageing and selected policy responses
Bloom, D. E., Chatterji, S., Kowal, P., Lloyd-Sherlock, P., McKee, M., Rechel, B., Rosenberg, L., & Smith, J. P. (2015) · The Lancet · doi:10.1016/s0140-6736(14)61464-1 · Cited by 769
Self-citationDiabetes in sub-Saharan Africa: from clinical care to health policy
Atun, R., Davies, J. I., Gale, E. A. M., Bärnighausen, T., Beran, D., Kengne, A. P., Levitt, N. S., Mangugu, F. W., Nyirenda, M. J., Ogle, G. D., et al. (2017) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(17)30181-x · Cited by 543
Self-citationLloyd-Sherlock, P., Beard, J., Minicuci, N., Ebrahim, S., & Chatterji, S. (2014) · International Journal of Epidemiology · doi:10.1093/ije/dyt215 · Cited by 498
Self-citationMotoric cognitive risk syndrome: Multicountry prevalence and dementia risk
Verghese, J., Annweiler, C., Ayers, E., Barzilai, N., Beauchet, O., Bennett, D. A., Bridenbaugh, S. A., Buchman, A. S., Callisaya, M. L., Camicioli, R., et al. (2014) · Neurology · doi:10.1212/wnl.0000000000000717 · Cited by 481
Self-citation
Metadata
- Authors
- Kowal, P., Chatterji, S., Naidoo, N., Biritwum, R., Fan, W., Lopez Ridaura, R., Maximova, T., Arokiasamy, P., Phaswana-Mafuya, N., Williams, S., Snodgrass, J. J., Minicuci, N., D'Este, C., Peltzer, K., Boerma, J. T., Collaborators, T. S., Yawson, A., Mensah, G., Yong, J., Guo, Y., Zheng, Y., Parasuraman, P., Lhungdim, H., Sekher, T., Rosa, R., Belov, V., Lushkina, N., Peltzer, K., Makiwane, M., Zuma, K., Ramlagan, S., Davids, A., Mbelle, N., Matseke, G., Schneider, M., Tabane, C., Tollman, S., Kahn, K., Ng, N., Juvekar, S., Sankoh, O., Debpuur, C., Nguyen, T. C., Gomez-Olive, F., Hakimi, M., Hirve, S., Abdullah, S., Hodgson, A., Kyobutungi, C., Egondi, T., Mayombana, C., Minh, H., Mwanyangala, M., Razzaque, A., Wilopo, S., Streatfield, P., Byass, P., Wall, S., Scholten, F., Mugisha, J., Seeley, J., Kinyanda, E., Nyirenda, M., Mutevedzi, P., & Newell, M.-L.
- Venue
- International Journal of Epidemiology
- Publisher
- Oxford University Press (OUP)
- Published
- 2012-12-01
- Volume
- 41
- Issue
- 6
- Pages
- 1639-1649
- ISSN
- 0300-5771 (ISSN-L)
- 1464-3685
- OpenAlex
- W2104967743
- Cited by
- 770
- References
- 19
- FWCI
- 37.62
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Data Resource Profile: The World Health Organization Study on global AGEing and adult health (SAGE). https://app.cochat.ai/papers/10.1093/ije/dys210
- The paper
- Kowal, P., Chatterji, S., Naidoo, N., Biritwum, R., Fan, W., Lopez Ridaura, R., Maximova, T., Arokiasamy, P., Phaswana-Mafuya, N., Williams, S., Snodgrass, J. J., Minicuci, N., D'Este, C., Peltzer, K., Boerma, J. T., Collaborators, T. S., Yawson, A., Mensah, G., Yong, J., . . . Newell, M.-L. (2012). Data Resource Profile: The World Health Organization Study on global AGEing and adult health (SAGE). International Journal of Epidemiology. https://doi.org/10.1093/ije/dys210
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
