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Patterns and Differentials of Age at First Motherhood Among Married Adolescents in Bangladesh

Received: 5 August 2021     Accepted: 18 September 2021     Published: 23 September 2021
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Abstract

Background: The focal point of this study is to investigate the current scenario of age at first motherhood among ever married adolescents in Bangladesh because early initiation into childbearing is generally the most important determinant of reproductive span, large family size, and population growth. Methods: The study uses the 2017-18 nationally representative Bangladesh Demographic and Health Survey (BDHS) data. In addition to the descriptive measures, Pearson’s Chi-square test and binary logistic regression analysis are employed to determine the significant association and impact of explanatory variables on age at adolescent first motherhood, respectively. Results: The overall mean age at adolescents’ first motherhood is 16.34±1.45 years, with marked variations by available explanatory variables. The bivariate analysis shows that the variables: current age, respondents’ education, place of residence, access to mass media, wealth index, age at first cohabitation, continue studies after marriage, spousal age difference, education, and occupation of husbands are significantly associated with age at adolescents’ motherhood. Multivariate binary logistic regression reveals that current age, respondents’ education, wealth index, age at first cohabitation, spousal age gap, and husbands’ occupation significantly impact the age at first motherhood among adolescents in Bangladesh. Conclusions: This study’s results will be helpful for the policymakers to take necessary steps to increase the age at first cohabitation to raise the age of adolescent first motherhood by increasing the literacy rate, minimizing the spousal age difference, and improving the socio-economic conditions for good reproductive health, and further reducing fertility in Bangladesh.

Published in Biomedical Sciences (Volume 7, Issue 3)
DOI 10.11648/j.bs.20210703.15
Page(s) 86-94
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2021. Published by Science Publishing Group

Keywords

Teenage, Adolescent, Cohabitation, Body Mass Index, Binary Logistic Regression

References
[1] Ngum Chi Watts MC, Liamputtong P, McMichael C. Early motherhood: A qualitative study exploring the experiences of African Australian teenage mothers in greater Melbourne, Australia. BMC Public Health [Internet]. BioMed Central Ltd.; 2015 [cited 2021 Jun 15]; 15. Available from: https://pubmed.ncbi.nlm.nih.gov/26358465/.
[2] Darroch JE, Woog V, Bankole A. ADDING IT UP: Costs and Benefits of Meeting the Contraceptive Needs of Adolescents. New York Guttmacher Inst. 2016; 1–16.
[3] Adolescent pregnancy [Internet]. [cited 2021 Jun 16]. Available from: https://www.who.int/news-room/fact-sheets/detail/adolescent-pregnancy.
[4] Early marriages, adolescent and young pregnancies Report by the Secretariat. 2012.
[5] Ghose S, John LB. Adolescent pregnancy: an overview. Int J Reprod Contraception, Obstet Gynecol. Medip Academy; 2017; 6: 4197.
[6] GIRLHOOD, NOT MOTHERHOOD Preventing Adolescent Pregnancy [Internet]. 2015 [cited 2021 Jun 6]. Available from: www.unfpa.org.
[7] Odejimi O, Bellingham-Young D, Dr B, Bellingham-Young- D. Teenage pregnancy in Africa: Trend and Determinants in the 21 st Century. J Heal Soc Care Improv. 2016; 1: 12–20.
[8] Moyosore A. Influence of Socio-demographic Factors on Adolescent’s Sexual and Reproductive Health and Behaviour. Asian J Med Heal [Internet]. Sciencedomain International; 2016 [cited 2021 Jun 16]; 1: 1–10. Available from: https://www.journalajmah.com/index.php/AJMAH/article/view/15638.
[9] Gyimah SO. PSC Discussion Papers Series Women’ s Educational Attainment and the Timing of Parenthood in Ghana: A Cohort Perspective. 17.
[10] Neema S, Musisi N, Kibombo R. Adolescent Sexual and Reproductive Health in Uganda: A Synthesis of Research Evidence [Internet]. 2004. Available from: www.guttmacher.org.
[11] Brahmbhatt H, Kågesten A, Emerson M, Decker MR, Olumide AO, Ojengbede O, et al. Prevalence and determinants of adolescent pregnancy in urban disadvantaged settings across five cities. J Adolesc Heal [Internet]. Elsevier Inc.; 2014; 55: S48–57. Available from: http://dx.doi.org/10.1016/j.jadohealth.2014.07.023.
[12] Lapierre-Adamcyk E, Rao KV. Age at first birth and lifetime fertility. J Biosoc Sci [Internet]. J Biosoc Sci; 1988 [cited 2021 Jun 16]; 20: 167–74. Available from: https://pubmed.ncbi.nlm.nih.gov/3384833/.
[13] Bangladesh HS. Bangladesh Demographic and Health Survey. 1999.
[14] National Institute of Population Research and Training (NIPORT), ICF International. Bangladesh demographic and health survey 2017-18. 2020; 1–511.
[15] Gurung R, Målqvist M, Hong Z, Poudel PG, Sunny AK, Sharma S, et al. The burden of adolescent motherhood and health consequences in Nepal. BMC Pregnancy Childbirth. BMC Pregnancy and Childbirth; 2020; 20: 1–7.
[16] Habitu YA, Yalew A, Bisetegn TA. Prevalence and factors associated with teenage pregnancy, northeast Ethiopia, 2017: A cross-sectional study. J Pregnancy. 2018; 2018.
[17] Rindfuss RR, John C St. Social Determinants of Age at First Birth. J Marriage Fam. 1983; 45: 553.
[18] Kassa GM, Arowojolu AO, Odukogbe ATA, Yalew AW. Trends and determinants of teenage childbearing in Ethiopia: Evidence from the 2000 to 2016 demographic and health surveys. Ital J Pediatr. Italian Journal of Pediatrics; 2019; 45: 1–13.
[19] Alemayehu T, Haider J, Habte D. Determinants of adolescent fertility in Ethiopia. Ethiop J Heal Dev. 2010; 24: 30–8.
[20] Ziblim S-D, Yidana A, Mohammed A-R. Determinants of Antenatal Care Utilization among Adolescent Mothers in the Yendi Municipality of Northern Region, Ghana. Ghana J Geogr [Internet]. 2018; 10: 78–97. Available from: https://dx.doi.org/10.4314/gjg.v10i1.5.
[21] Raj AD, Rabi B, Amudha P, van Teijlingen Edwin R, Glyn C. Factors associated with teenage pregnancy in South Asia: A systematic review. Heal Sci J. 2010; 4: 3–14.
[22] Islam MM, Islam MK, Hasan MS, Hossain MB. Adolescent motherhood in Bangladesh: Trends and determinants. PLoS One. 2017; 12: 1–14.
[23] Mezmur H, Assefa N, Alemayehu T. Teenage pregnancy and its associated factors in eastern ethiopia: A community-based study. Int J Womens Health. 2021; 13: 267–78.
[24] Vincent G, Alemu FM. Factors contributing to, and effects of, teenage pregnancy in Juba. Factors Contrib to, Eff of, teenage pregnancy Juba. 2016; 9: 28–31.
[25] Ali M, Alauddin S, Khatun MF, Maniruzzaman M, Islam SMS. Determinants of early age of mother at first birth in Bangladesh: a statistical analysis using a two-level multiple logistic regression model. J Public Heal. Journal of Public Health; 2020.
[26] Nahar MZ, Zahangir MS. Patterns and Determinants of Age At First Birth in Bangladesh. Turkish J Popul Stud. 2013; 35: 63–77.
[27] Fayed AA, Wahabi H, Mamdouh H, Kotb R, Esmaeil S. Demographic profile and pregnancy outcomes of adolescents and older mothers in Saudi Arabia: Analysis from Riyadh Mother (RAHMA) and Baby cohort study. BMJ Open. 2017; 7: 1–11.
[28] Govender D, Naidoo S, Taylor M. Prevalence and Risk Factors of Repeat Pregnancy among South African Adolescent Females. Afr J Reprod Health. 2019; 23: 73–87.
[29] Sarder M, Alauddin S, Ahammed B. Determinants of teenage marital pregnancy among bangladeshi women: An analysis by the cox proportional hazard model. Soc Heal Behav [Internet]. Medknow; 2020 [cited 2021 Jun 7]; 3: 137. Available from: https://www.shbonweb.com/article.asp?issn=2589-9767;year=2020;volume=3;issue=4;spage=137;epage=143;aulast=Sarder.
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  • APA Style

    Md. Abdul Karim, Mohammad Omar Faruk. (2021). Patterns and Differentials of Age at First Motherhood Among Married Adolescents in Bangladesh. Biomedical Sciences, 7(3), 86-94. https://doi.org/10.11648/j.bs.20210703.15

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    ACS Style

    Md. Abdul Karim; Mohammad Omar Faruk. Patterns and Differentials of Age at First Motherhood Among Married Adolescents in Bangladesh. Biomed. Sci. 2021, 7(3), 86-94. doi: 10.11648/j.bs.20210703.15

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    AMA Style

    Md. Abdul Karim, Mohammad Omar Faruk. Patterns and Differentials of Age at First Motherhood Among Married Adolescents in Bangladesh. Biomed Sci. 2021;7(3):86-94. doi: 10.11648/j.bs.20210703.15

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  • @article{10.11648/j.bs.20210703.15,
      author = {Md. Abdul Karim and Mohammad Omar Faruk},
      title = {Patterns and Differentials of Age at First Motherhood Among Married Adolescents in Bangladesh},
      journal = {Biomedical Sciences},
      volume = {7},
      number = {3},
      pages = {86-94},
      doi = {10.11648/j.bs.20210703.15},
      url = {https://doi.org/10.11648/j.bs.20210703.15},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.bs.20210703.15},
      abstract = {Background: The focal point of this study is to investigate the current scenario of age at first motherhood among ever married adolescents in Bangladesh because early initiation into childbearing is generally the most important determinant of reproductive span, large family size, and population growth. Methods: The study uses the 2017-18 nationally representative Bangladesh Demographic and Health Survey (BDHS) data. In addition to the descriptive measures, Pearson’s Chi-square test and binary logistic regression analysis are employed to determine the significant association and impact of explanatory variables on age at adolescent first motherhood, respectively. Results: The overall mean age at adolescents’ first motherhood is 16.34±1.45 years, with marked variations by available explanatory variables. The bivariate analysis shows that the variables: current age, respondents’ education, place of residence, access to mass media, wealth index, age at first cohabitation, continue studies after marriage, spousal age difference, education, and occupation of husbands are significantly associated with age at adolescents’ motherhood. Multivariate binary logistic regression reveals that current age, respondents’ education, wealth index, age at first cohabitation, spousal age gap, and husbands’ occupation significantly impact the age at first motherhood among adolescents in Bangladesh. Conclusions: This study’s results will be helpful for the policymakers to take necessary steps to increase the age at first cohabitation to raise the age of adolescent first motherhood by increasing the literacy rate, minimizing the spousal age difference, and improving the socio-economic conditions for good reproductive health, and further reducing fertility in Bangladesh.},
     year = {2021}
    }
    

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  • TY  - JOUR
    T1  - Patterns and Differentials of Age at First Motherhood Among Married Adolescents in Bangladesh
    AU  - Md. Abdul Karim
    AU  - Mohammad Omar Faruk
    Y1  - 2021/09/23
    PY  - 2021
    N1  - https://doi.org/10.11648/j.bs.20210703.15
    DO  - 10.11648/j.bs.20210703.15
    T2  - Biomedical Sciences
    JF  - Biomedical Sciences
    JO  - Biomedical Sciences
    SP  - 86
    EP  - 94
    PB  - Science Publishing Group
    SN  - 2575-3932
    UR  - https://doi.org/10.11648/j.bs.20210703.15
    AB  - Background: The focal point of this study is to investigate the current scenario of age at first motherhood among ever married adolescents in Bangladesh because early initiation into childbearing is generally the most important determinant of reproductive span, large family size, and population growth. Methods: The study uses the 2017-18 nationally representative Bangladesh Demographic and Health Survey (BDHS) data. In addition to the descriptive measures, Pearson’s Chi-square test and binary logistic regression analysis are employed to determine the significant association and impact of explanatory variables on age at adolescent first motherhood, respectively. Results: The overall mean age at adolescents’ first motherhood is 16.34±1.45 years, with marked variations by available explanatory variables. The bivariate analysis shows that the variables: current age, respondents’ education, place of residence, access to mass media, wealth index, age at first cohabitation, continue studies after marriage, spousal age difference, education, and occupation of husbands are significantly associated with age at adolescents’ motherhood. Multivariate binary logistic regression reveals that current age, respondents’ education, wealth index, age at first cohabitation, spousal age gap, and husbands’ occupation significantly impact the age at first motherhood among adolescents in Bangladesh. Conclusions: This study’s results will be helpful for the policymakers to take necessary steps to increase the age at first cohabitation to raise the age of adolescent first motherhood by increasing the literacy rate, minimizing the spousal age difference, and improving the socio-economic conditions for good reproductive health, and further reducing fertility in Bangladesh.
    VL  - 7
    IS  - 3
    ER  - 

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Author Information
  • Department of Statistics, University of Chittagong, Chattogram, Bangladesh

  • Department of Statistics, Noakhali Science and Technology University, Noakhali, Bangladesh

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