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The sociodemographic, behavioral, reproductive, and health factors associated with fertility in Brazil

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  • Cesar Augusto Oviedo Tejada
  • Lívia Madeira Triaca
  • Flávia Katrein da Costa
  • Franciele Hellwig

Abstract

High fertility rates among disadvantaged subgroups are a public health problem because fertility levels significantly affect socioeconomic conditions and a population’s welfare. This paper aims to analyze the sociodemographic, behavioral, and reproductive factors associated with fertility rates among Brazilian women aged between 15–49 years. A Poisson regression was used to analyze data from the 2006 PNDS (Pesquisa Nacional de Demografia e Saúde da Criança e da Mulher), which evaluates socioeconomic, demographic, geographic, reproductive, behavioral, and chronic disease variables. The results show that the following characteristics are positively associated with an increase in the number of children born: being aged 20–24, residing in the North, being nonwhite, not being in paid employment, having lower education levels, having lower socioeconomic status, being in a stable union, having the first sexual intercourse before the age of 16 and having the first child before the age of 20. Thus, it is important to implement efficient family planning policies targeting these subgroups in order to improve life conditions, reduce inequalities and avoid the adverse outcomes of high fertility.

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  • Cesar Augusto Oviedo Tejada & Lívia Madeira Triaca & Flávia Katrein da Costa & Franciele Hellwig, 2017. "The sociodemographic, behavioral, reproductive, and health factors associated with fertility in Brazil," PLOS ONE, Public Library of Science, vol. 12(2), pages 1-10, February.
  • Handle: RePEc:plo:pone00:0171888
    DOI: 10.1371/journal.pone.0171888
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    2. Aamir Rafique Hashmi & Wen Jie Mok, 2013. "Determinants Of Low Fertility In Singapore: Evidence From A Household Survey," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 58(04), pages 1-26.
    3. Basu, Alaka Malwade, 2002. "Why does Education Lead to Lower Fertility? A Critical Review of Some of the Possibilities," World Development, Elsevier, vol. 30(10), pages 1779-1790, October.
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    5. Weiren Wang & Felix Famoye, 1997. "Modeling household fertility decisions with generalized Poisson regression," Journal of Population Economics, Springer;European Society for Population Economics, vol. 10(3), pages 273-283.
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    Cited by:

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