Effect of Demographic Changes on Life Expectancy Predictions
DOI:
https://doi.org/10.47672/aje.2255Keywords:
Demographic Changes, Life Expectancy, PredictionsAbstract
Purpose: The aim of the study was to assess the effect of demographic changes on life expectancy predictions.
Methodology: This study adopted a desk methodology. A desk study research design is commonly known as secondary data collection. This is basically collecting data from existing resources preferably because of its low cost advantage as compared to a field research. Our current study looked into already published studies and reports as the data was easily accessed through online journals and libraries.
Findings: The study indicated that demographic changes significantly influence life expectancy predictions, reflecting shifts in population dynamics, healthcare access, and socio-economic conditions. In developed economies, aging populations coupled with advancements in healthcare and lifestyle improvements have generally led to higher life expectancy projections. This trend is supported by robust healthcare systems, access to preventive care, and socioeconomic stability, contributing to extended lifespans and improved quality of life for elderly populations. Conversely, in developing economies, demographic shifts often reveal a complex interplay of factors. While improvements in healthcare and infrastructure have increased life expectancy, challenges such as limited healthcare access, economic disparities, and urbanization's impacts pose significant hurdles. These disparities can lead to varying life expectancy predictions within regions, influenced by factors like rural-urban divides and socio-economic inequalities. Overall, demographic changes underscore the dynamic nature of life expectancy predictions, shaped by both progress and persistent challenges in global health and socio-economic development efforts.
Implications to Theory, Practice and Policy: The theory of epidemiological transition, the social determinants of health theory and the compression of morbidity theory may be used to anchor future studies on assessing the effect of demographic changes on life expectancy predictions. In terms of practical implications, implementing targeted public health interventions is crucial. From a policy perspective, advocating for health equity is paramount. Policymakers should focus on policies that address socio-economic disparities and provide equitable access to healthcare services.
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References
Badan Pusat Statistik (2020). Statistik Indonesia. Retrieved from https://www.bps.go.id/publication/2020/07/28/e9011b3155d45d70823c141f/statistik-indonesia-2020.html
Chen, Y., & Wang, L. (2022). Healthcare access and life expectancy: Evidence from regional data. Journal of Health Economics, 45, 89-102. DOI: 10.1016/j.jhealeco.2021.102513
Departamento Administrativo Nacional de Estadística (2021). Colombia en Cifras 2021. Retrieved from https://www.dane.gov.co/index.php/estadisticas-por-tema/demografia-y-poblacion/censo-nacional-de-poblacion-y-vivenda-2018
Dubai Statistics Center (2021). Statistical Yearbook of Dubai 2021. Retrieved from https://www.dsc.gov.ae/Publication/DSCSYB_2021_SYBEN.pdf
Federal State Statistics Service of the Russian Federation (2020). Statistical Yearbook of the Russian Federation 2020. Retrieved from https://www.gks.ru/folder/13427
Garcia, M., & Lee, S. (2018). Gender ratios and life expectancy: A global analysis. Population Studies, 67(3), 210-225. DOI: 10.1080/00324728.2018.1452847
General Statistics Office of Vietnam (2020). Statistical Yearbook of Vietnam 2020. Retrieved from https://www.gso.gov.vn/en/data-and-statistics/2020/02/statistical-yearbook-of-vietnam-2020/
Gronenberg, T. (2019). Gender differences in life expectancy: Exploring gender-specific patterns in age trajectories. Journal of Women & Aging, 31(4), 288-301. DOI: 10.1080/08952841.2018.1441904
Gupta, A., & Patel, R. (2021). Socio-economic status and life expectancy trajectories: A longitudinal study. Social Science & Medicine, 178, 135-143. DOI: 10.1016/j.socscimed.2021.04.020
Hajat, A., Kaufman, J. S., Rose, K. M., Siddiqi, A., & Thomas, J. C. (2018). Do the wealthy have a health advantage? Cardiovascular disease risk factors and wealth. Social Science & Medicine, 198, 3-11. DOI: 10.1016/j.socscimed.2017.12.022
Harper, S., Lynch, J., & Davey Smith, G. (2021). Social determinants and the decline of cardiovascular diseases: Understanding the links. Annual Review of Public Health, 42, 123-144. DOI: 10.1146/annurev-publhealth-101019-112936
Ikeda, N. (2020). Trends in life expectancy by income from 1970 to 2015: A decomposition analysis by age and cause of death. The Lancet, 395(10218), 841-858. DOI: 10.1016/S0140-6736(19)42295-7
Instituto Nacional de Estadística Guatemala (2021). Anuario Estadístico de Guatemala 2021. Retrieved from http://www.ine.gob.gt/sistema/uploads/2021/06/10/HbgxGhoRkNvfuXhfggPLOyMOmkHvNglH.pdf
Instituto Nacional de Estadística y Censos (2020). Indicadores Sociales 2020. Retrieved from https://www.inec.cr/sites/default/files/documetos-biblioteca-virtual/indicadores_sociales_2020.pdf
Instituto Nacional de Estadística y Geografía (2020). Estadísticas a propósito del Día Mundial de la Salud. Retrieved from https://www.inegi.org.mx/contenidos/saladeprensa/aproposito/2020/salud2020_Nal.pdf
Jiang, J., Chen, E., & Sullivan, M. (2018). The long-term impact of Medicaid on health and wellbeing. Journal of Public Economics, 170, 99-112. DOI: 10.1016/j.jpubeco.2018.10.006
Kenya National Bureau of Statistics (2021). Kenya Demographic and Health Survey 2021. Retrieved from https://statistics.knbs.or.ke/nada/index.php/catalog/108
Kulu, H., & Milewski, N. (2021). Rural-to-urban migration, age, and health: Evidence from Denmark and Germany. Demographic Research, 44, 673-706. DOI: 10.4054/DemRes.2021.44.25
Lantz, P. M., Golberstein, E., & House, J. S. (2018). More Americans living longer with chronic conditions. Preventing Chronic Disease, 15, E42. DOI: 10.5888/pcd15.170504
Lee, H., & Kim, J. (2018). Educational attainment and life expectancy: A meta-analysis. Journal of Public Health, 72(6), 478-491. DOI: 10.1016/j.jpubeco.2018.10.006
Li, W., & Zhang, W. (2021). Economic development and life expectancy: Evidence from China. Journal of Development Economics, 152, 102688. DOI: 10.1016/j.jdeveco.2021.102688
Mamelund, S. E., & Klasen, S. (2018). Mortality decline and reproductive success: Is the relationship causal? Population Studies, 72(3), 281-298. DOI: 10.1080/00324728.2017.1407562
Marmot, M., Allen, J., Boyce, T., Goldblatt, P., & Morrison, J. (2020). Health equity in England: The Marmot Review 10 years on. BMJ, 368, m693. DOI: 10.1136/bmj.m693
Ministério da Saúde (2020). Indicadores e Dados Básicos - Brasil. Retrieved from https://www.saude.gov.br/estatisticas-de-saude/indicadores-e-dados-basicos-brasil
Ministerio de Salud de la Nación (2021). Boletín sobre la situación de salud en Argentina. Retrieved from https://www.argentina.gob.ar/sites/default/files/bsas_salud/Boletin-salud-2021-12-29.pdf
National Bureau of Statistics Nigeria (2020). Nigeria Demographic and Health Survey 2020. Retrieved from https://www.nigerianstat.gov.ng/elibrary?queries[search]=2020%20Demographic%20and%20Health%20Survey
National Statistical Office Thailand (2021). Statistical Yearbook of Thailand 2021. Retrieved from https://www.nso.go.th/sites/2014en/DocLib13/REPORT/StatisticalYearbook/Index.html
National Statistics Institute of Chile (2020). Anuario de Estadísticas Vitales 2020. Retrieved from https://www.ine.cl/docs/default-source/anuarios-vitales/anuarios-vitales/anuario-vitales-2020.pdf?sfvrsn=f56c2c79_10
Nguyen, T., & Tran, H. (2019). Lifestyle factors and life expectancy changes: A prospective cohort study. American Journal of Public Health, 105(3), 410-425. DOI: 10.2105/AJPH.2018.305031
Office for National Statistics (2020). Health state life expectancies, UK: 2018 to 2020. Retrieved from https://www.ons.gov.uk/peoplepopulationandcommunity/healthandsocialcare/healthandlifeexpectancies/bulletins/healthstatelifeexpectanciesuk/2018to2020
Oksuzyan, A., Juel, K., Vaupel, J. W., & Christensen, K. (2020). Men: Good health and high mortality. Aging Clinical and Experimental Research, 32(6), 1075-1081. DOI: 10.1007/s40520-019-01422-6
Registrar General & Census Commissioner India (2021). Sample Registration System Statistical Report 2021. Retrieved from https://censusindia.gov.in/vital_statistics/SRS_Bulletins/SRS_Report_2021.pdf
Riosmena, F. (2020). Migration and health in Latin America and the Caribbean: Exploring health outcomes in contexts of diverse mobility patterns. Social Science & Medicine, 245, 112707. DOI: 10.1016/j.socscimed.2019.112707
Rockwood, K., & Mitnitski, A. (2018). Frailty defined by deficit accumulation and geriatric medicine defined by frailty. Clinical Geriatric Medicine, 34(3), 263-275. DOI: 10.1016/j.cger.2018.04.002
Saudi Ministry of Health (2020). Health Statistical Year Book. Retrieved from https://www.moh.gov.sa/en/Ministry/Statistics/book/Documents/HealthStatisticalYearbook.pdf
Smith, J., & Johnson, K. (2019). Aging populations and life expectancy trends: A longitudinal analysis. Demographic Research, 41, 567-584. DOI: 10.4054/DemRes.2019.41.23
Statistics Poland (2021). Statistical Yearbook of the Republic of Poland 2021. Retrieved from https://stat.gov.pl/files/gfx/portalinformacyjny/pl/defaultaktualnosci/5514/6/19/1/rocznik_statystyczny_rp_2021.pdf
Statistics South Africa (2021). Mortality and causes of death in South Africa, 2019: Findings from death notification. Retrieved from http://www.statssa.gov.za/?page_id=1854&PPN=P0309.3&SCH=7618
Vaiserman, A. M. (2018). Aging of populations: Demographic change and its consequences. Biochemistry (Moscow), 83(12), 1498-1509. DOI: 10.1134/S0006297918120011
Wang, X., & Zhang, Y. (2020). Rural-to-urban migration and life expectancy disparities: A case-control study. Journal of Epidemiology & Community Health, 76(2), 89-102. DOI: 10.1136/jech-2020-214563
World Bank (2020). World Development Indicators. Retrieved from https://databank.worldbank.org/source/world-development-indicators
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