"Determinants of Desired Ideal Number of Children in Central Java”
Determinan Jumlah Anak Ideal di Provinsi Jawa Tengah
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Uncontrolled population growth poses a major challenge for communities and governments, especially in healthcare. Indonesia, as the world's fourth most populous countries, faces this issue, with Central Java, one of the most populous province having a stagnant total fertility rate. This research investigates the determinants of desired children among Central Java's women aged 15-49, using 2022 Family Data Update. Multivariate logistic regression reveals significant association with factors like age at first marriage, education, occupation, and health insurance participation. This study observed that women of childbearing age who married at 21 or older were less likely to desire more than two children compared to those who married earlier (AOR=0.791; 95% CI: 0.786; 0.796). Employed women were also less inclined to desire more than two children than unemployed women (AOR=0.798; 95% CI: 0.793; 0.803). Additionally, women with health insurance subscriptions were more likely to desire more than two children (AOR=1.129; 95% CI: 1.121; 1.137). These findings highlight the social and health aspect of fertility preferences in Indonesia. Promoting women's education and employment, enhancing adolescent reproductive health programs, and aligning healthcare and family planning policies are essential strategies to reshape fertility preferences among women of childbearing age in Indonesia.
Uniyal S, Kaphaliya B, Paliwal R, Sharma RK. Human overpopulation: Impact on environment. Environ Issues Surround Hum Overpopulation. 2016;(January):1-11. doi:10.4018/978-1-5225-1683-5.ch001
Bawole JN& AB. Public Procurement and Public Financial Management in Africa: Dynamics and Influences. Public Organ Rev. 2020;20((2)):301–318.
Liu Y, Yamauchi F. Population density, migration, and the returns to human capital and land: Insights from Indonesia. Food Policy. 2014;48(February):182-193. doi:10.1016/j.foodpol.2014.05.003
World Bank. Recovery or Relapse in the World Economy?; 1984.
The World Bank. Determinants and Consequences of High Fertility. Determ Consequences High Fertil. 2010;(June). doi:10.1596/27497
Zsolt-Szilveszter Sandu & Narek Sukiasyan. Overpopulation of India: Factors, Implications and Recommendations. Int J Humanit Art Soc Stud. 2018;3(2).
Wazir MA, Alazar YM. Family Planning: Smartest Investment for Achieving the Sustainable Development Goals for Pakistan.; 2021. https://www.researchgate.net/publication/355789536
BPS. Statistik Indonesia (Statistical Yearbook of Indonesia) 2023. Vol 1101001.; 2023. https://www.bps.go.id/publication/2020/04/29/e9011b3155d45d70823c141f/statistik-indonesia-2020.html
Samosir OB, McDonald P, Utomo A, et al. Fertility preferences in Indonesia. Fam Demogr Asia A Comp Anal Fertil Prefer. 2018;(October 2019):138-152. doi:10.4337/9781785363559.00014
Perwakilan BKKBN Provinsi Jawa Tengah. Laporan Indikator Kinerja Utama BKKBN. Vol 6.
Badan Kependudukan dan Keluarga Berencana Nasional. RENSTRA BKKBN 2020-2024.; 2020.
Bongaarts J. Trends in fertility and fertility preferences in sub-Saharan Africa: the roles of education and family planning programs. Genus. 2020;76(1). doi:10.1186/s41118-020-00098-z
Adilo TM, Wordofa HM. Prevalence of fertility desire and its associated factors among 15- to 49-year-old people living with HIV/AIDS in Addis Ababa, Ethiopia: A cross-sectional study design. HIV/AIDS - Res Palliat Care. 2017;9:167-176. doi:10.2147/HIV.S133766
Indrastuti AR, Salim LA. Factors Affecting Adolescents in Determining the Ideal Number of Children. Med Leg Updat. 2021;21(2):126-132. doi:10.37506/mlu.v21i2.2658
Phiri M, Shasha L, Musonda E, Muhanga M, Lemba M. Choice of desired family size among young women in Zambia: what matters? J Popul Res. 2023;40(3). doi:10.1007/s12546-023-09311-0
Sitorus MA, Simarmata R, Siregar PA, Provinsi B, Utara S. Analisis Preferensi Jumlah Anak Ideal Di Provinsi Sumatera Utara ( Analisis Data Skunder SDKI 2017) Analysis Preference of Ideal Number of Children in North Sumatra Province. Vol 2.; 2020.
Arsyad SS, Nugroho DNA, Nugraha A, Saki VY. Preferensi Fertilitas Keluarga Milenial Di Indonesia. J Kel Berencana. 2021;6(1):42-50. doi:10.37306/kkb.v6i1.69
Muluneh EK, Molla HL. Factors influencing desired number of children among Ethiopian women: Application of count regression models. Ethiop J Sci Technol. 2022;15(2):141-154. doi:10.4314/ejst.v15i2.3
Islam MA, Rahman A. Age at first marriage and fertility in developing countries: A meta analytical view of 15 Demographic and Health Surveys. Clin Epidemiol Glob Heal. 2020;8(3):775-779. doi:10.1016/j.cegh.2020.01.018
Suyanto B, Sugihartati R, Hidayat MA, Egalita N, Mas'udah S. The causes and impacts of early marriage: the ordeal of girls in East Java, Indonesia. Sociol Probl e Prat. 2023;(101):71-94. doi:10.7458/SPP202310126851
Indah Kusuma Wardani. The impacts of early marriage on young women in Indonesia. BKM Public Heal Community Med. Published online 2021.
Akinyemi JO, Odimegwu CO. Social contexts of fertility desire among non-childbearing young men and women aged 15–24 years in Nigeria. Reprod Health. 2021;18(1):1-18. doi:10.1186/s12978-021-01237-1
Channon MD, Harper S. Educational differentials in the realisation of fertility intentions: Is sub-Saharan Africa different? PLoS One. 2019;14(7):1-14. doi:10.1371/journal.pone.0219736
Ahinkorah BO, Seidu AA, Armah-Ansah EK, et al. Drivers of desire for more children among childbearing women in sub-Saharan Africa: implications for fertility control. BMC Pregnancy Childbirth. 2020;20(1):1-11. doi:10.1186/s12884-020-03470-1
Wolf K, Mulder CH. Comparing the fertility of Ghanaian migrants in Europe with nonmigrants in Ghana. Popul Space Place. 2019;25(2):1-14. doi:10.1002/psp.2171
Presiden Republik Indonesia. Peraturan Presiden tentang Jaminan Kesehatan. Pemerintah Republik Indones. Published online 2018:1-74.
Palmer M. ep rin t n ot pe er r ev Pr ep rin t n ot pe ed. Published online 2019.
Mark E, Su Y hsuan. Can Health Insurance Boost Fertility? The Fertility Effect of National Health Insurance in Taiwan. 第å届å‘å±•ç ”ç©¶å¹´ä¼š å°æ¹¾ç»éªŒ20：在地与全çƒçš„å‘å±•ç ”ç©¶ä¸Žå®žè·µ. 2018;(2018):641-685.
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