Literature DB >> 23283715

Data resource profile: the World Health Organization Study on global AGEing and adult health (SAGE).

Paul Kowal1, Somnath Chatterji, Nirmala Naidoo, Richard Biritwum, Wu Fan, Ruy Lopez Ridaura, Tamara Maximova, Perianayagam Arokiasamy, Nancy Phaswana-Mafuya, Sharon Williams, J Josh Snodgrass, Nadia Minicuci, Catherine D'Este, Karl Peltzer, J Ties Boerma.   

Abstract

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).

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Year:  2012        PMID: 23283715      PMCID: PMC3535754          DOI: 10.1093/ije/dys210

Source DB:  PubMed          Journal:  Int J Epidemiol        ISSN: 0300-5771            Impact factor:   7.196


  16 in total

1.  Statistical analysis of correlated data using generalized estimating equations: an orientation.

Authors:  James A Hanley; Abdissa Negassa; Michael D deB Edwardes; Janet E Forrester
Journal:  Am J Epidemiol       Date:  2003-02-15       Impact factor: 4.897

Review 2.  Measuring and monitoring success in compressing morbidity.

Authors:  James F Fries
Journal:  Ann Intern Med       Date:  2003-09-02       Impact factor: 25.391

3.  The failures of success.

Authors:  E M Gruenberg
Journal:  Milbank Mem Fund Q Health Soc       Date:  1977

Review 4.  The Informant Questionnaire on cognitive decline in the elderly (IQCODE): a review.

Authors:  Anthony F Jorm
Journal:  Int Psychogeriatr       Date:  2004-09       Impact factor: 3.878

5.  Change in chronic disability from 1982 to 2004/2005 as measured by long-term changes in function and health in the U.S. elderly population.

Authors:  Kenneth G Manton; XiLiang Gu; Vicki L Lamb
Journal:  Proc Natl Acad Sci U S A       Date:  2006-11-13       Impact factor: 11.205

6.  Aging, natural death, and the compression of morbidity: another view.

Authors:  E L Schneider; J A Brody
Journal:  N Engl J Med       Date:  1983-10-06       Impact factor: 91.245

7.  Changing concepts of morbidity and mortality in the elderly population.

Authors:  K G Manton
Journal:  Milbank Mem Fund Q Health Soc       Date:  1982

8.  Aging, natural death, and the compression of morbidity.

Authors:  J F Fries
Journal:  N Engl J Med       Date:  1980-07-17       Impact factor: 91.245

9.  A survey method for characterizing daily life experience: the day reconstruction method.

Authors:  Daniel Kahneman; Alan B Krueger; David A Schkade; Norbert Schwarz; Arthur A Stone
Journal:  Science       Date:  2004-12-03       Impact factor: 47.728

10.  Validation of a measure of subjective well-being: an abbreviated version of the day reconstruction method.

Authors:  Marta Miret; Francisco Félix Caballero; Arvind Mathur; Nirmala Naidoo; Paul Kowal; José Luis Ayuso-Mateos; Somnath Chatterji
Journal:  PLoS One       Date:  2012-08-27       Impact factor: 3.240

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  269 in total

1.  Mood Homeostasis, Low Mood, and History of Depression in 2 Large Population Samples.

Authors:  Maxime Taquet; Jordi Quoidbach; James J Gross; Kate E A Saunders; Guy M Goodwin
Journal:  JAMA Psychiatry       Date:  2020-09-01       Impact factor: 21.596

2.  Cohort Profile: Hong Kong Department of Health Elderly Health Service Cohort.

Authors:  C M Schooling; W M Chan; S L Leung; T H Lam; S Y Lee; C Shen; J Y Leung; G M Leung
Journal:  Int J Epidemiol       Date:  2014-12-05       Impact factor: 7.196

3.  Prediction of 24-hour sodium excretion from spot urine samples in South African adults: a comparison of four equations.

Authors:  Karen Charlton; Lisa J Ware; Glory Chidumwa; Marike Cockeran; Aletta E Schutte; Nirmala Naidoo; Paul Kowal
Journal:  J Hum Hypertens       Date:  2019-05-10       Impact factor: 3.012

4.  A new statistical model for the Day Reconstruction Method.

Authors:  Paul H Lee; Andy C Y Tse; Ka Yiu Lee
Journal:  Int J Methods Psychiatr Res       Date:  2016-11-09       Impact factor: 4.035

5.  Perceived Income Adequacy and Well-being Among Older Adults in Six Low- and Middle-Income Countries.

Authors:  Theresa E Gildner; Melissa A Liebert; Benjamin D Capistrant; Catherine D'Este; J Josh Snodgrass; Paul Kowal
Journal:  J Gerontol B Psychol Sci Soc Sci       Date:  2019-02-15       Impact factor: 4.077

6.  Perceived Stress and Mild Cognitive Impairment among 32,715 Community-Dwelling Older Adults across Six Low- and Middle-Income Countries.

Authors:  Ai Koyanagi; Hans Oh; Davy Vancampfort; Andre F Carvalho; Nicola Veronese; Brendon Stubbs; Elvira Lara
Journal:  Gerontology       Date:  2018-09-10       Impact factor: 5.140

7.  Assessing mobility difficulties for cross-national comparisons: results from the World Health Organization Study on Global AGEing and Adult Health.

Authors:  Benjamin D Capistrant; M Maria Glymour; Lisa F Berkman
Journal:  J Am Geriatr Soc       Date:  2014-01-17       Impact factor: 5.562

8.  Racial Classifications, Biomarkers, and the Challenges of Health Disparities Research in the African Diaspora.

Authors:  Latrica E Best; John Chenault
Journal:  J Pan Afr Stud       Date:  2014-06

9.  Disability and chronic disease among older adults in India: detecting vulnerable populations through the WHO SAGE Study.

Authors:  Sanjay Basu; Abby C King
Journal:  Am J Epidemiol       Date:  2013-09-18       Impact factor: 4.897

10.  Economic Security, Social Cohesion, and Depression Disparities in Post-transition Societies: A Comparison of Older Adults in China and Russia.

Authors:  Ning Hsieh
Journal:  J Health Soc Behav       Date:  2015-11-17
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