The National Research Council in 2001, recognizing the need for multi-disciplinary research and longitudinal studies on aging, emphasized that cross-national studies can provide substantially more useful evidence for policy than can single country studies. The Council also stressed the need for harmonizing and standardizing data collection across countries. In a more recent publication in 2008, it stressed that """"""""including biological indicators in social surveys will ....encourage broader integrative thinking and produce deeper understanding of mechanisms and causal linkages"""""""". It is with this intent that WHO's Study on Global Ageing and Adult Health (SAGE) has been designed using a set of methods to provide comparable cross-national data that can be compared to efforts in the US such as the Health and Retirement Study (HRS). The proposed study aims to measure trends in disability (understood as non-fatal health outcomes that capture a state less than full health) in aging cohorts in the World Health Organization (WHO)'s Study on Global Aging and Adult Health (SAGE) across the age range of older adults.
It aims to do this by improving the measurement of non-fatal health outcomes, chronic diseases and risk factors in household survey settings and examine the links between non-fatal health outcomes, their determinants such as chronic disease and risk factors and future health outcomes including mortality. It also aims to examine the relationship between economic activity, quality of life, well-being and non-fatal health outcomes in aging populations in low and middle income countries. By improving the measurement of morbidity and tracking respondents over time it will attempt to answer the critical questions related to the future health of ageing populations. Wave 3 data will provide at least 3, and for some respondents 4, data points (SAGE Waves 0-3). The populations covered by participating countries covers over 40% of the world's population aged 60 years and older. Data from the study will have direct implications for understanding the health of older adults in the US, especially those from lower socioeconomic classes and minority populations that are at greatest risk of poor health. The proposed study will make all anonymized micro data available to researchers along with a full documentation of all metadata as per current standards.
With the rapid demographic and epidemiological transition occurring globally, including in low and middle income countries, there is an urgent need to generate data with regard to the dynamics of health, wealth and well-being in the older adult segment of the population that is comparable across populations and over time. Insights obtained from such studies will help plan health care and social policy to keep populations healthy and maintain their well-being as they continue to live longer. These studies would also help to improve our understanding of the determinants of health and happiness into older ages. Important strategies to prevent the burden of ill-health and disability in older age groups, as well as to extend health care for chronic diseases, can be identified to promote well-being and improve quality of life. Data collected as part of the proposed study have also been designed to be comparable to similar studies in higher income countries and across levels of population wealth.
|Goldman, Elisabeth A; Eick, Geeta N; Compton, Devan et al. (2017) Evaluating minimally invasive sample collection methods for telomere length measurement. Am J Hum Biol :|
|Lin, Hualiang; Guo, Yanfei; Kowal, Paul et al. (2017) Exposure to air pollution and tobacco smoking and their combined effects on depression in six low- and middle-income countries. Br J Psychiatry 211:157-162|
|Lin, Hualiang; Guo, Yanfei; Di, Qian et al. (2017) Ambient PM2.5 and Stroke: Effect Modifiers and Population Attributable Risk in Six Low- and Middle-Income Countries. Stroke 48:1191-1197|
|Menyanu, Elias; Charlton, Karen E; Ware, Lisa J et al. (2017) Salt Use Behaviours of Ghanaians and South Africans: A Comparative Study of Knowledge, Attitudes and Practices. Nutrients 9:|
|Gaskin, Cadeyrn J; Lambert, Sylvie D; Bowe, Steven J et al. (2017) Why sample selection matters in exploratory factor analysis: implications for the 12-item World Health Organization Disability Assessment Schedule 2.0. BMC Med Res Methodol 17:40|
|Lin, Hualiang; Guo, Yanfei; Zheng, Yang et al. (2017) Long-Term Effects of Ambient PM2.5 on Hypertension and Blood Pressure and Attributable Risk Among Older Chinese Adults. Hypertension 69:806-812|
|Agrawal, Sutapa; Agrawal, Praween Kumar (2016) Association Between Body Mass index and Prevalence of Multimorbidity in Low-and Middle-income Countries: A Cross-Sectional Study. Int J Med Public Health 6:73-83|
|Charlton, Karen; Ware, Lisa J; Menyanu, Elias et al. (2016) Leveraging ongoing research to evaluate the health impacts of South Africa's salt reduction strategy: a prospective nested cohort within the WHO-SAGE multicountry, longitudinal study. BMJ Open 6:e013316|
|Saeed, B I I; Yawson, A E; Nguah, S et al. (2016) Effect of socio-economic factors in utilization of different healthcare services among older adult men and women in Ghana. BMC Health Serv Res 16:390|
|Garin, Noe; Koyanagi, Ai; Chatterji, Somnath et al. (2016) Global Multimorbidity Patterns: A Cross-Sectional, Population-Based, Multi-Country Study. J Gerontol A Biol Sci Med Sci 71:205-14|
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