Population Aging Tendencies in Islamic Countries Between 1950-2020: A Geographical Assessment
Main Article Content
Abstract
In the contemporary world, population aging and the factors affecting population aging are among the topics of interest of policymakers and planners in any country. Knowledge of this situation will help to regulate and even advance substantial population programs. This study aimed to investigate the trend of the demographic aging index in Islamic countries based on the analysis of survival history. The research method was descriptive-analytical, a type of applied research, and methods of collecting documentary information. The United Nations Population Database (1950 to 2020) was used for data collection. In the present study, 57 countries were grouped and studied in ten geographical areas. The statistical method used is survival history analysis. Data were analyzed using Stata statistical methods and non-parametric methods of estimating the survival function of the Kaplan-Meier method, Nelson-Aalen estimator, and the semi-parametric model of Cox’s proportional risk. Based on the results, it was found that the fertility index has a downward trend in the ten regions of the Islamic world. In contrast, the indicators of old age (with low acceleration) and life expectancy have an increasing trend. The probability of aging has a negative relationship with the total fertility rate and a positive correlation with life expectancy. Estimates of the survival function and cumulative risk for nine of the ten geographical regions (barring the Southern European region) of the Islamic world in 2020 indicate that the probability of aging in these regions is not significantly different. Likewise, the rate of entry into the aging phase does not differ significantly between the same geographical areas. Nevertheless, with the current trend of life expectancy and the reduction of fertility, many of these countries are likely to face the aging crisis in the coming years.
Article Details
References
• Bhagat, R. B., & Unisa, S. (2006). Ageing and dependency in India: A new measurement. Asian Population Studies, 2(2), 201-214. https://doi.org/10.1080/17441730600923133
• Bloom, D. E., Kirby, P., Sevilla, J. P., & Stawasz, A. (2019). Japan's age wave: Challenges and solutions. PGDA Working Paper No. 166. https://cdn1.sph.harvard.edu/wp-content/uploads/sites/1288/2019/07/Japan’s-Age-Wave-Challenges-and-Solutions.pdf
• Byberg, L., Melhus, H., Gedeborg, R., Sundstrom, J., Ahlbom, A., Zethelius, B., Berglund, L. G., Wolk, A., & Michaelsson, K. (2009). Total mortality after changes in leisure time physical activity in 50 year old men: 35 year follow-up of population based cohort. BMJ, 338, b688. https://doi.org/10.1136/bmj.b688
• Castree, N. (2003). Place: Connections and boundaries in an interdependent world. In S. L. Holloway, S. P. Rice & G. Valentine (Eds.), Key Concepts in Geography (pp. 165-185). SAGE.
• Colosimo, E., Ferreira, F., Oliveira, M., & Sousa, C. (2002). Empirical comparisons between Kaplan-Meier and Nelson-Aalen survival function estimators. Journal of Statistical Computation and Simulation, 72(4), 299–308. https://doi.org/10.1080/00949650212847
• Crespo Cuaresma, J., Lábaj, M., & Pružinský, P. (2014). Prospective ageing and economic growth in Europe. The Journal of the Economics of Ageing, 3, 50–57. https://doi.org/10.1016/j.jeoa.2014.05.003
• Dabrowska, D. M., Doksum, K. A., & Song, J. K. (1989). Graphical comparison of cumulative hazards for two populations. Biometrika, 76(4), 763–773. https://doi.org/10.1093/biomet/76.4.763
• Darabi, S., & Torabi, F. (2017). Analysis and comparison of aging population in Europe and Asia during 1950 to 2015. Salmand, 12(1), 28–41. https://doi.org/10.21859/sija-120128
• ElHafeez, S. A., Torino, C., D’Arrigo, G., Bolignano, D., Provenzano, F., Mattace-Raso, F., Zoccali, C., & Tripepi, G. (2012). An overview on standard statistical methods for assessing exposure-outcome link in survival analysis (Part II): The Kaplan-Meier analysis and the Cox regression method. Aging Clinical and Experimental Research, 24(3), 203–206. https://doi.org/10.1007/bf03325249
• Faisal, I. M., & Parveen, S. (2004). Food security in the face of climate change, population growth, and resource constraints: Implications for Bangladesh. Environmental Management, 34(4), 487–498. https://doi.org/10.1007/s00267-003-3066-7
• Gavrilova, N. S., & Gavrilov, L. A. (2014). Mortality trajectories at extreme old ages: A comparative study of different data sources on U.S. Old-Age Mortality. Living to 100 monographs, 25664347. https://pubmed.ncbi.nlm.nih.gov/25664347/
• Gietel-Basten, S., Mau, V., Sanderson, W., Scherbov, S., & Shulgin, S. (2020). Ageing in Russia: A regional appraisal. Journal of Population Ageing, 13(1), 63–80. https://doi.org/10.1007/s12062-019-9238-x
• Heffner, K., Klemens, B., & Solga, B. (2019). Challenges of regional development in the context of population ageing. Analysis based on the example of Opolskie Voivodeship. Sustainability, 11(19), 5207. https://doi.org/10.3390/su11195207
• Hu, G., & Huffer, F. (2020). Modified Kaplan–Meier Estimator and Nelson–Aalen Estimator with Geographical Weighting for Survival Data. Geographical Analysis, 52(1), 28–48. https://doi.org/10.1111/gean.12185
• Kamran, J. G., Musa, K. K., & Sadegh, G. F. (2020). An investigation into urban development patterns with sprawl and other corresponding changes: A case study of Babol City. Journal of Urban Culture Research, 20, 26-43. https://doi.org/10.14456/jucr.2020.2
• Jones, G. W. (2012). Where are all the jobs? Capturing the demographic dividend in Islamic countries. In H. Groth & A. Sousa-Poza (Eds.), Population dynamics in Muslim countries (pp. 31–42). Springer Publishing. https://doi.org/10.1007/978-3-642-27881-5_3
• Jylhävä, J., Pedersen, N. L., & Hägg, S. (2017). Biological age predictors. EBioMedicine, 21, 29–36. https://doi.org/10.1016/j.ebiom.2017.03.046
• Kudo, S., Mutisya, E., & Nagao, M. (2015). Population aging: An emerging research agenda for sustainable development. Social Sciences, 4(4), 940–966. https://doi.org/10.3390/socsci4040940
• Leisinger, K. M., Schmitt, K. M, & Pandya-Lorch, R. (2002). Six billion and counting: population growth and food security in the 21st century. International Food Policy Research Institute (IFPRI). https://www.ifpri.org/publication/six-billion-and-counting-population-growth-and-food-security-21st-century
• Li, J., Han, X., Zhang, X., & Wang, S. (2019). Spatiotemporal evolution of global population ageing from 1960 to 2017. BMC Public Health, 19(1), 127. https://doi.org/10.1186/s12889-019-6465-2
• Lutz, W., Sanderson, W., & Scherbov, S. (2008). The coming acceleration of global population ageing. Nature, 451(7179), 716–719. https://doi.org/10.1038/nature06516
• Mai, Y., Peng, X., & Chen, W. (2013). How fast is the population ageing in China? Asian Population Studies, 9(2), 216–239. https://doi.org/10.1080/17441730.2013.797295
• Martin, L. G. (2011). Demography and aging. In R. H. Binstock, L. K. George, S. J. Cutler, J. Hendricks, & J. H. Schulz (Eds.), Handbook of aging and the social sciences (Vol. 7, pp. 33–45). Elsevier. https://doi.org/10.1016/B978-0-12-380880-6.00003-4
• Mirzaie, M., & Darabi, S. (2017). Population aging in Iran and rising health care costs. Salmand, 12(2), 156–169. https://doi.org/10.21859/sija-1202156
• Mount, C., & Downton, C. (2006). Alzheimer disease: progress or profit? Nature Medicine, 12(7), 780-784. https://doi.org/10.1038/nm0706-780
• Movahed, A., & Gahlehteimouri, K. J. (2019). The importance of the concept and meaning of place in tourism geography. Journal of Tourism, Hospitality and Environment Management, 4(16), 1–9. https://doi.org/10.35631/jthem.416001
• Noroozian, M. (2012). The elderly population in Iran: an ever-growing concern in the health system. Iranian Journal of Psychiatry and Behavioral Sciences, 6(2), 1-6. https://pubmed.ncbi.nlm.nih.gov/24644476/
• O’Brien, E. (2016). Planning for population ageing: Implications of local demographic, spatial and fiscal differences. International Planning Studies, 21(4), 317–328. https://doi.org/10.1080/13563475.2015.1125775
• Ofori-Asenso, R., Zomer, E., Curtis, A. J., Zoungas, S., & Gambhir, M. (2018). Measures of population ageing in Australia from 1950 to 2050. Journal of Population Ageing, 11(4), 367–385. https://doi.org/10.1007/s12062-017-9203-5
• ØStbye, T., Chan, A., Malhotra, R., & Kothalawala, J. (2010). Adult children caring for their elderly parents. Asian Population Studies, 6(1), 83–97. https://doi.org/10.1080/17441731003603504
• Owusu, B. A., Lim, A., Makaje, N., Sama-Ae, A., Owusu, B. E., & Arbu, N. (2018). Age-specific fertility rate projections in West Africa. Journal of Population and Social Studies, 26(2), 119–127. https://doi.org/10.25133/jpssv26n2.009
• Rahman, M., Guntupalli, A. M., & Byles, J. E. (2018). Socio-demographic differences of disability prevalence among the population aged 60 years and over in Bangladesh. Asian Population Studies, 14(1), 77–95. https://doi.org/10.1080/17441730.2017.1396038
• Riley, J. C. (2005). Estimates of regional and global life expectancy, 1800–2001. Population and Development Review, 31(3), 537–543. https://doi.org/10.1111/j.1728-4457.2005.00083.x
• Rossa, A. (2008). Estimation of survival distributions under right-censoring when sample size is random. Sequential Analysis, 27(2), 174-184. https://doi.org/10.1080/07474940801989152
• Santos-Fernandez, E., Mengersen, K. L., & Wu, P. (2019). Bayesian methods in sport statistics. In N. Balakrishnan, T. Colton, B. Everitt, W. Piegorsch, F. Ruggeri, & J. L. Teugels (Eds.), Wiley StatsRef: Statistics Reference Online (pp. 1–8). John Wiley & Sons. https://doi.org/10.1002/9781118445112.stat08179
• Shryock, H. S., & Siegel, J. S. (1976). The methods and materials of demography. Academic Press.
• Siddhisena, K. A. P. (2016). Population aging and health care needs of the elderly people in Sri Lanka: An overview [Slides]. Johns Hopkins University. https://www.jhsph.edu/departments/international-health/program-areas/health-systems/_pdfs/Population%20aging%20and%20health%20care%20needs.pdf
• Tawatsupa, B., Dear, K., Kjellstrom, T., Sleigh, A., & Samakkeekarom, R. (2015). Association between temperature and mortality among the working age population in Thailand from 1999 to 2008. Journal of Population and Social Studies, 22(2), 192-201. https://so03.tci-thaijo.org/index.php/jpss/article/view/102371
• United Nations. (2013). World Population Ageing 2013. Department of Economic and Social Affairs. https://www.un.org/en/development/desa/population/publications/ageing/WorldPopulationAgeing2013.asp
• United Nations. (2019a). World Population Ageing 2019 Highlights. Department of Economic and Social Affairs. https://doi.org/10.18356/9df3caed-en
• United Nations. (2019b). World Population Prospects 2019 [Dataset]. Department of Economic and Social Affairs. https://population.un.org/wpp/
• United Nations. (2020). World Population Ageing 2020 Highlights. Department of Economic and Social Affairs. https://www.un.org/development/desa/pd/sites/www.un.org.development.desa.pd/files/undesa_pd-2020_world_population_ageing_highlights.pdf
• Véron, J. (2020). First to the second demographic transition. Reference Module in Biomedical Sciences, 99-106. https://doi.org/10.1016/b978-0-12-801238-3.11334-0
• Yuan, X., & Gao, Y. (2020). Demographic transition and economic miracles in China: An analysis based on demographic perspective. International Journal of Economic Policy Studies, 14(1), 25–45. https://doi.org/10.1007/s42495-019-00030-0