Survival analysis of time interval between first and second childbirth among women in Nigeria

Apstrakt

Background: Birth spacing, especially between first and second births, could impact on fertility, and on maternal and child health. While the interval between marriage and first-birth has been widely studied, information on intervals between first and second births (SBI) and its determinants is scarce. We investigated the timing of second childbirth and its determinants among women in Nigeria.

Methods: Using the 2013 Nigeria Demographic and Health Survey, we analysed data on 27451 women of reproductive age who had reported at least one childbirth as of the survey date. We used Kaplan-Meier survival analysis and Cox proportional-hazard regression with 95% confidence interval (CI) computed. Results: The median SBI among women in Nigeria was 34 months (CI: 33.7–34.3). The hazard of second-birth was higher among women from rural (HR=1.161; CI: 1.13-1.19) compared to those from the urban areas. While women living in other regions had tendencies to shorten SBI compared with the North Central, those from South West were 9% (aHR=0.91; CI: 0.86–0.96) less likely to delay it. For every one year age-at-first-birth delayed among women, the hazard of second-birth increased by 1.9%. Wealth status, contraceptive use, being employed, higher education among women and spouses, and first-child survival are protective of SBI.

Conclusions: Contraceptive use, being employed, living in an urban area, belonging to higher wealth quintile and higher educational attainment could lead to longer second birth interval which could lead to a healthier child, safer motherhood, and reduced fertility. Women should be encouraged to delay SBI as a fertility-control-strategy.

Keywords: Hazard ratio, Second birth interval, Kaplan Meier, Cox-regression, Median survival time.

Résumé

Contexte : L’espacement des naissances, en particulier entre la première et la deuxième naissance, pourrait avoir un impact sur la fertilité et sur la santé maternelle et infantile. Bien que l’intervalle entre le mariage et la première naissance ait été largement étudié, les informations sur les intervalles entre la première et la deuxième naissance (DN) et ses déterminants sont rares. Nous avons étudié le moment du deuxième accouchement et ses déterminants chez les femmes au Nigéria.

Méthodes :En utilisant l’Enquête Démographique et de Santé au Nigéria de 2013, nous avons analysé les données sur 27451 femmes en âge de procréer qui avaient déclaré au moins un accouchement à la date de l’enquête.Nous avons utilisé l’analyse de survie de Kaplan-Meier et la régression à risque proportionnel de Cox avec un intervalle de confiance (IC) à 95% calculé.

Résultats : La DN médiane chez les femmes au Nigeria était de 34 mois (IC : 33,7–34,3). Le risque de deuxième naissance était plus élevé chez les femmes des zones rurales (HR = 1,161; IC : 1,13-1,19) par rapport à celles des zones urbaines. Alors que les femmes vivant dans d’autres régions avaient tendance à raccourcir la DN par rapport à celles du centre-nord, celles du sud-ouest étaient 9% fois (aHR = 0,91 ; IC : 0,86-0,96) moins susceptibles de la retarder. Pour chaque âge d’un an à la première naissance retardé chez les femmes, le risque de deuxième naissance a augmenté de 1,9%. Le statut de richesse, l’utilisation de contraceptifs, le fait d’être employé, l’enseignement supérieur chez les femmes et les conjoints et la survie du premier enfant sont protectives à la DN.

Conclusions : L’utilisation de contraceptifs, le fait d’être employé, de vivre dans une zone urbaine, appartenant à un quintile de richesse plus élevé et à un niveau de scolarité plus élevé pourraient conduire à un deuxième intervalle de naissance plus long, ce qui pourrait conduire à un enfant en meilleure santé, à une maternité plus sûre et à une fertilité réduite. Les femmes devraient être encouragées à retarder la DN en tant que stratégie de contrôle de la fertilité.

Mots - clés : Hazard ratio, Second intervalle de naissance, Kaplan Meier, Cox-régression, Durée médiane de survie.

Correspondence: Dr. A.F. Fagbamigbe, Department of Epidemiology and Medical Statistics, Faculty of Public Health, College of Medicine, University of Ibadan, Ibadan,Nigeria. E-mail: fadeniyi@cartafrica.org.

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Reference

Simeon AA and Khalid ZM. Survival Modeling of First Birth Interval After Marriage. Life Sci J. 2014;11:11–14.

Population Reference Bureau. PRB 2014 and 2015 World Population Data Sheets. Washington, DC; 2016.

United Nation. Total Fertility Rate: Recent rate compare 1970 rate from countries across the world. 2015.

Fagbamigbe AF, Afolabi RF and Idemudia ES. Demand and Unmet Needs of Contraception Among Sexually Active In-Union Women in Nigeria: Distribution, Associated Characteristics, Barriers, and Program Implications. SAGE Open. SAGE PublicationsSage CA: Los Angeles, CA; 2018;8:215824401775402.

Adebowale SA, Adepoju OT and Fagbamigbe AF. Child Spacing and Parity Progression: Implication for Maternal Nutritional Status among Women in Ekiti Communities, Southwestern Nigeria. Pakistan J Nutr. 2011;10:485–491.

Newman JL and McCulloch C. A Hazard Rate Approach to the Timing of Births. Econometrica. 1984;52:939–962.

Yohannes S, Wondafrash M, Abera M and Girma E. Duration and determinants of birth Interval among women of child bearing age in Southern Ethiopia. BMC Pregnancy Childbirth. 2011;11:1–8.

Moultrie TA, Sayi TS and Timæus IM. Birth intervals, postponement, and fertility decline in Africa: A new type of transition? Popul Stud (NY). 2012;66:241–258.

Zhang Y, Quist A and Enquobahrie D. Short birth-to-pregnancy intervals among African-born black women in Washington State. J Matern Neonatal Med. 2017;2017:1–5.

Ball SJ, Pereira G, Jacoby P, de Klerk N and Stanley FJ. Re-evaluation of link between interpregnancy interval and adverse birth outcomes/ : Retrospective cohort study. BMJ. 2014;349:g4333.

Chen I, Jhangri GS and Chandra S. Relationship between interpregnancy interval and congenital anomalies. Am J Obstet Gynecol. Elsevier Inc; 2014;210:564.e1-564.e8.

States U. AJPH PERSPECTIVES Brief Interpregnancy Interval/ : Are 75 % of Adolescent Mothers Unaware of the Prematurity Risk/ ? 2018;108:11–12.

Andi JR, Wamala R, Ocaya B and Kabagenyi A. Modern Contraceptive Use Among Women in Uganda: An Analysis of Trend and Patterns (1995-2011). Afr Popul Stud. 2014;28:1009–1015.

ICF International Inc. Uganda Demographic and Health Survey 2011. Kampala, Uganda: UBOS and Calverton, Maryland:; 2012.

Stephenson R, Baschieri A, Clements S, Hennink M and Madise N. Contextual Influences on Modern Contraceptive Use in sub-Saharan Africa. Am J Public Heal. 2007;97:12–33.

Creanga AA, Gillespie D, Karklins S and Tsui AO. Low Use of Contraception among Poor Women in Africa: An Equity Issue. Bull WHO. 2011;89:258–266.

Family Health Initiative. Expanding Contraceptive Use in Urban Uttar Pradesh: Family Planning: Effect of Data Driven Strategies [Internet]. Policy Br. 2010 [cited 2017 May 23]. p. 1–3. Available from: www.uhi-india.org/

Olaitan OL. Factors Influencing the Choice of Family Planning among Couples in South West Nigeria. Int J Med Med Sci. 3AD;7:227–232.

Ntozi JPM, Ahimbisibwe FE, Ayiga N, Odwee J and Mulindwa IN. Has AIDS Awareness Changed Sexual Behaviour in Uganda. Towards the Containment of the AIDS Epidemic:/ : 63-77. Soc Behav Res. 2000;63.

Cohen B. Family Planning Programs, Socio-economic Characteristics, and contraceptive use in Malawi. World Dev. 2000;28:843–860.

Kim J. Women’s Education in the Fertility Transition: An Analysis of the Second Birth Interval in Indonesia. Brown, USA; 2003.

Johnson K, Posner SF, Biermann J, et al. Recommendations to Improve Preconception Health and Health Care— United States. Morb Mortal Wkly Rep. 2006;55:1–13.

Cleland J, Conde-Agudelo A, Peterson H, Ross J and Tsui A. Contraception and health. Lancet. 2012. p. 149–156.

Campbell D. Women risk premature birth if they have second child too quickly [Internet]. Guard. 2014 [cited 2017 May 27]. Available from: www.theguardian.com/society/2014/jun/04/women-premature-birth-second-child-quickly.

O’Brien P. Interpregnancy interval. An Intl J O G. 2014;

Society for Maternal-Fetal Medicine. Interval between first and second pregnancy strongly impacts preterm birth risk [Internet]. Sci. Dly. 2015 [cited 2018 May 21]. p. 1–2. Available from: www.sciencedaily.com/releases/2015/02/150202123641.htm

National Population Commission (Nigeria) and ICF International. Nigeria Demographic and Health Survey 2013. Abuja, Nigeria; 2014.

Fagbamigbe AF, Adebowale AS and Morhason-Bello IO. Survival analysis of time to uptake of modern contraceptives among sexually active women of reproductive age in Nigeria. BMJ Open. 2015;5:1–8.

Fagbamigbe AF and Idemudia ES. Survival analysis and determinants of timing of first birth after marriage in Nigeria. Afr Popul Stud. 2016;30:2444–2457.

Batyra E. Fertility and the changing pattern of the timing of childbearing in Colombia. Demogr Res. 2016;35:1343–1372.

Fagbamigbe AF and Idemudia ES. Survival analysis and prognostic factors of timing of first childbirth among women in Nigeria. BMC Pregnancy Childbirth. BMC Pregnancy and Childbirth; 2016;16:1–12.

Adebowale AS, Fagbamigbe AF, Okareh TO and Lawal GO. Survival Analysis of Timing of First Marriage among Women of Reproductive age in Nigeria/ : Regional Differences. Afr J Reprod Health. 2012;16:95–107.

Adebowale AS, Yusuf BO and Fagbamigbe AF. Survival probability and predictors for woman experience childhood death in Nigeria: analysis of North-South differentials. BMC Public Health. 2012;12:430.

Trussell J, Martin LG, Feldman R, et al.. Determinants of birth-interval length in the Philippines, Malaysia, and Indonesia: A hazard-model analysis. Demography. 1985;22:145–168.

Shayan Z, Mohammad S, Ayatollahi T and Zare N. Prognostic factors of first birth interval using the parametric survival models. Iran J Reprod Med. 2014;12:125–130.

Fagbemigbe AF and Alabi O. Differentials and Correlates of Infant Mortality in Nigeria: A Comparative Survival Analysis Between North-East and South-West. Int J Trop Dis Heal. 2014;4:869–886.

Morakinyo OM and Fagbamigbe AF. Neonatal , infant and under-five mortalities in Nigeria/ : An examination of trends and drivers ( 2003-2013 ). PLoS One. 2017;12:e0182990.

Fagbamigbe AF and Idemudia ES. Wealth and antenatal care utilization in Nigeria: Policy implications. Health Care Women Int. Taylor & Francis; 2016;38:17–37.

Fagbamigbe AF and Adebowale AS. Current and Predicted Fertility using Poisson Regression Model/ : Evidence from 2008 Nigerian Demographic Health Survey. Afr J Reprod Heal. 2014;18:71–83.

Fagbamigbe AF, Bamgboye EA, Yusuf BO, et al. The Nigeria wealth distribution and health seeking behaviour/ : evidence from the 2012 national HIV / AIDS and reproductive health survey. Health Econ Rev. 2015;5:e1–10.

Gakidou E and Vayena E. Use of modern contraception by the poor is falling behind. Gillespie D, editor. PLoS Med. 2007;4:e31.

Gillespie D, Saifuddin A, Tsui A and Radloff S. Unwanted fertility among the poor: an inequity? Bull WHO. 2007;85:100–107.

Austin A. Unmet contraceptive need among married Nigerian women: an examination of trends and drivers. Contraception. 2015;91:31–38.

U.S. Department of Health and Human Services. Healthy People 2010: Understanding and Improving Health. 2nd ed. Washington, DC: ./ : U.S. Government Printing Office; 2000.

Chandra A, Martinez GM, Mosher WD, Abma JC and Jones J. Fertility Family Planning and Reproductive Health of U.S. Women: Data from the 2002 National Survey of Family Grown.”. Vital Heal Stat. 2006;23:1–15.

Simmons T and O’Connell M. Married-Couple and Unmarried-Partner Households. New York; 2003.