การมีบุตรคนแรกช้าของสตรีสมรสในประเทศไทย : สถานการณ์ แนวโน้ม และปัจจัยกำหนด (STEM LEARNING APPROACH AND PROBLEM SOLVING USING THE 4WP FORMAT FOR MATHAYOMSUKSA III STUDENTS, PATUMWAN DEMONSTATION SCHOOL, SRINAKHARINWIROT UNIVERSITY)

Authors

  • ณิชกานต์ แก้วบัวดี Srinakharinwirot University
  • วิราภรณ์ โพธิศิริ วิทยาลัยประชากรศาสตร์ จุฬาลงกรณ์มหาวิทยาลัย

Keywords:

Age at First Birth, Delaying Age at First Birth, Low Fertility, Ever-Married Women

Abstract

          This study aims to explore 1) the situation and trend of maternal age at first childbirth in Thailand, using four nationally-representative, cross-sectional survey data with fertility information between year 2001 and 2016 were employed to explore the trend in childbearing and 2) if there is any correlation between demographic, socioeconomic, and reproductive health factors and delaying age at first birth by adopted the Causal Model of Age at First Birth developed by Rindfuss & St. John in 1983 to guide the analysis. To investigate the relationship between determinants and delaying age at first birth, quantitative data from 2016 Survey of Population Change and Well-being in the Context of Aging Society (PCWAS) conducted by College of Population Studies, Chulalongkorn University was employed. The survey sample, comprising 9,457 women aged between 15-49 years old, is restricted to ever-married women with at least one live birth. Given our interest in addressing the determinants of delaying age at first birth, the sample is further limited to women aged between 30-49 years, and who provided valid information to all variables used in the analysis. By these restrictions, younger women aged between 15-29 years were excluded from the analysis and the size of final sample is 4,324 women. Results show that the mean age at first birth in 2016 was 23.5 years. The figure slightly changed from 2001 to 2016. However, proportion of women who have their first child at 30 years or older were increased from 10.4% in 2001 to 14.5% in 2016. When all other variables were controlled for in the logistic regression analysis model, the results show that demographic factors (i.e. women’s current age, age at first marriage, and number of children wanted) are strongest predictor of having the first child at 29 years or later. Education, infecundity, infertility and career orientation are also found to have influence on delaying age at first birth.

Downloads

Download data is not yet available.

References

[1] United Nations, Department of Economic and Social Affairs, Population Division. (2017). World Population Prospects: The 2017 Revision. n.p.
[2] ปราโมทย์ ประสาทกุล, และปัทมา ว่าพัฒนวงศ์. (2554). จุดเปลี่ยนประชากรไทย. ใน สุรีย์พร พันพึ่ง และมาลี
สันภูวรรณ์. จุดเปลี่ยนประชากร จุดเปลี่ยนสังคมไทย. 13-22. กรุงเทพฯ: สำนักพิมพ์ประชากรและสังคม.
[3] Lesthaeghe, R., & Van de Kaa, D. J. (1986). Two demographic transitions? In D.J. Van de Kaa and Ronald Lesthaeghe (Eds), Population Growth and Decline, 9-24. Deventer: Van Loghum.
[4] Lesthaeghe, R. (2010). The unfolding story of the second demographic transition. Population and Development Review. 36(2), 211-251.
[5] Van de Kaa, D. J. (2003). Demographies in Transition: an Essay on Continuity and Discontinuity in Value Change, in E. Kotowska and J. Jozwiak (Eds.), Population of Central and Eastern Europe. Challenges and Opportunities, 641-643. Warsaw: Statistical Publishing Establishment.
[6] Putnam, R.D. (2000). Bowling alone: America’s declining social capital, in Culture and politics. pp. 223-234. Springer.
[7] United Nations, Department of Economic and Social Affairs, Population Division. (2013). World Population Prospects: The 2013 Revision. n.p.
[8] Billari, F.C., et al. (2007). Approaching the Limit: Long‐Term Trends in Late and Very Late Fertility. Population and Development Review. 33(1), 149-170.
[9] Frejka, T. and G. Calot. (2001). Cohort Reproductive Patterns in Low‐Fertility Countries. Population and Development Review. 27(1), 103-132.
[10] Lesthaeghe, R. (2001). Postponement and recuperation: Recent fertility trends and forecasts in six Western European Countries. Interface Demography, Vrje Universiteit, Brussels, Belgium. Retrieved from http://www.vub.ac.be/soco/index.htm
[11] Hardy, J.B., et al. (1998). Like mother, like child: intergenerational patterns of age at first birth and associations with childhood and adolescent characteristics and adult outcomes in the second generation. Developmental Psychology. 34(6), 1220.
[12] Fergusson, D.M. and L.J. Woodward. (1999). Maternal age and educational and psychosocial outcomes in early adulthood. Journal of Child Psychology and Psychiatry. 40(3), 479-489.
[13] Bianco, A., et al. (1996). Pregnancy outcome at age 40 and older. Obstetrics & Gynecology. 87(6), 917-922.
[14] Gilbert, W.M., T.S. Nesbitt, and B. Danielsen. (1999). Childbearing beyond age 40: pregnancy outcome in 24,032 cases. Obstetrics & Gynecology. 93(1), 9-14.
[15] Jolly, M., et al. (2000). The risks associated with pregnancy in women aged 35 years or older. Human reproduction. 15(11), 2433-2437.
[16] Tough, S.C., et al. (2002). Delayed childbearing and its impact on population rate changes in lower birth weight, multiple birth, and preterm delivery. Pediatrics. 109(3), 399-403.
[17] Ziadeh, S. and A. Yahaya. (2001). Pregnancy outcome at age 40 and older. Archives of gynecology and obstetrics. 265(1), 30-33.
[18] Copper, R.L., et al. (1993). A multicenter study of preterm birth weight and gestational age—specific neonatal mortality. American Journal of Obstetrics & Gynecology. 168(1), 78-84.
[19] Kramer, M.S. (1987). Determinants of low birth weight: methodological assessment and meta-analysis. Bulletin of the world health organization. 65(5), 663.
[20] McCormick, M.C. (1985). The contribution of low birth weight to infant mortality and childhood morbidity, New England Journal of Medicine. 312(2), 82-90.
[21] McCormick, M.C., et al. (1992). The Health and Developmental Status of Very Low-Birth-Weight Children at School Age. Jama. 267(16), 2204-2208.
[22] Rindfuss, R.R. and C. St. John. (1983). Social determinants of age at first birth. Journal of Marriage and the Family. 553-565.
[23] Hakim, C. (2001). Work-lifestyle choices in the 21st century: Preference theory. Oxford: Oxford University Press.
[24] Heckman, J.J. and Walker, J.R. (1990). The relationship between wages and income and the timing and spacing of births: evidence from Swedish longitudinal data. Journal of the Econometric Society. 1411-1441.
[25] Tasiran, A.C. (1995). Fertility dynamics: Spacing and timing of births in Sweden and the United States. Amsterdam: Elsevier.
[26] Settersten Jr, R.A. and K.U. Mayer. (1997). The measurement of age, age structuring, and the life course. Annual review of sociology. 23(1), 233-261.
[27] Hahs-Vaughn, D.L. (2005). A primer for using and understanding weights with national datasets. The Journal of Experimental Education. 73(3), 221-248.
[28] Duncan, O.D. and A.J. Reiss. (1956). Social characteristics of urban and rural communities: 1950. New York: Wiley.
[29] Prioux, F. (2005). Late fertility in Europe: some comparative and historical data. Revue d'épidémiologie et de santé publique. 53, 3-11.
[30] Kohler, H.P., F.C. Billari, and J.A. Ortega. (2002). The emergence of lowest-low fertility in Europe during the 1990s. Population and development review. 28(4), 641-680.
[31] Gustafsson, S. and C., Wetzels. (2000). Optimal age at first birth: Germany, Great Britain, the Netherlands and Sweden", in Gustafsson S. and Meulders D.E., Gender and the Labour Market, London: MacMillan.
[32] Castiglioni, M., Dalla Zuanna, G., and Loghi, M. (2001). Planned and unplanned births and conceptions in Italy. European Journal of Population. 17(3), 207-233.
[33] Liefbroer, A.C. (1999). From youth to adulthood: Understanding changing patterns of family formation from a life course perspective, in Population Issues, pp. 53-85. Dordrecht: Springer.
[34] Cigno, A. (1991). Economics of the family. Oxford: Oxford University Press.
[35] Walker, J.R. (1995). The effect of public policies on recent Swedish fertility behavior. Journal of population economics. 8(3), 223-251.

Downloads

Published

2020-03-25

How to Cite

แก้วบัวดี ณ. ., & โพธิศิริ ว. . (2020). การมีบุตรคนแรกช้าของสตรีสมรสในประเทศไทย : สถานการณ์ แนวโน้ม และปัจจัยกำหนด (STEM LEARNING APPROACH AND PROBLEM SOLVING USING THE 4WP FORMAT FOR MATHAYOMSUKSA III STUDENTS, PATUMWAN DEMONSTATION SCHOOL, SRINAKHARINWIROT UNIVERSITY). Srinakharinwirot Research and Development Journal of Humanities and Social Sciences, 11(22, July-December), 57–74. Retrieved from https://so04.tci-thaijo.org/index.php/swurd/article/view/240643