Volume 38 - Article 45 | Pages 1359–1388
Adolescent contraceptive use and its effects on fertility
By David A. Sánchez-Páez, José Antonio Ortega
References
Advocates for Youth (2013). The sexual and reproductive health of young people in low and middle income countries. Washington, D.C.: Advocates for Youth.
Agresti, A. and Coull, B. (1998). Approximate is better than ‘exact’ for interval estimation of binomial proportions. The American Statistician 52(2): 119–126.
Banerji, M., Martin, S., and Desai, S. (2008). Is education associated with a transition towards autonomy in partner choice? A case study of India. Paper presented at the IUSSP seminar on changing transitions to marriage: Gender implications for the next generation, New Delhi, India, September 10-12, 2008.
Baschieri, A. and Hinde, A. (2007). The proximate determinants of fertility and birth intervals in Egypt: An application of calendar data. Demographic Research 16(3): 59–96.
Bell, A. and Jones, K. (2015). Explaining fixed effects: Random effects modeling of time-series cross-sectional and panel data. Political Science Research and Methods 3(1): 133–153.
Blanc, A. and Way, A. (1998). Sexual behavior and contraceptive knowledge and use among adolescents in developing countries. Studies in Family Planning 29(2): 106–116.
Blanc, A., Tsui, A., Croft, T., and Trevitt, J. (2009). Patterns and trends in adolescents’ contraceptive use and discontinuation in developing countries and comparisons with adult women. International Perspectives on Sexual and Reproductive Health 35(2): 63–71.
Bongaarts, J. (1978). A framework for analyzing the proximate determinants of fertility. Population and Development Review 4(1): 105–132.
Bongaarts, J. (2015). Modeling the fertility impact of the proximate determinants: Time for a tune-up. Demographic Research 33(19): 535–360.
Bongaarts, J. (2017). The effect of contraception on fertility: Is sub-Saharan Africa different? Demographic Research 37(6): 129–146.
Bongaarts, J. and Potter, R. (1983). Fertility, biology, and behavior: An analysis of the proximate determinants. New York: Academic Press.
Buonaccorsi, J. (2010). Measurement error: Models, methods, and applications. Boca Raton: Chapman.
Carroll, R., Ruppert, D., Stefanski, L., and Crainiceanu, C. (2006). Measurement error in nonlinear models: A modern perspective. Boca Raton: Chapman.
Chandra-Mouli, V., McCarraher, D., Phillips, S., Williamson, N., and Hainsworth, G. (2014). Contraception for adolescents in low and middle countries: Needs, barriers, and access. Reproductive Health 11(21): 18.
Clark, S., Koski, A., and Smith-Greenaway, E. (2017). Recent trends in premarital fertility across sub-Saharan Africa. Studies in Family Planning 48(1): 3–22.
Coale, A. and Watkins, S. (1986). The decline of fertility in Europe. New York: Princeton University Press.
DHS Program (2015). STATcompiler [electronic resource]. Rockville: The DHS Program Demographic and Health Surveys.
Dieleman, J. and Templin, T. (2014). Random-effects, fixed-effects and the within-between specification for clustered data in observational health studies: A simulation study. PLoS One 9(10): e110257.
Every Woman Every Child (2015). The global strategy for women’s, children’s and adolescents’ health 2016–2030: Survive, thrive, transform. New York: United Nations.
Family Planning 2020 (2015). FP 2020 commitment to action 2014–2015 [electronic resource]. Washington, D.C.: FP2020.
Galecki, A. and Burzykowski, T. (2013). Linear mixed-effects models using R. New York: Springer.
Gipson, J. and Hindin, M. (2008). Having another child would be a life or death situation for her: Understanding pregnancy termination among couples in rural Bangladesh. American Journal of Public Health 98(10): 1827–1832.
Greene, M. and Merrick, T. (2015). The case for investing in research to increase access to and use of contraception among adolescents. Seattle: Alliance for Reproductive, Maternal, and Newborn Health.
Grolemund, G. and Wickham, H. (2017). R for data science. Sebastopol: O’Reilly.
Gurr, B. (2014). Reproductive justice: The politics of health care for Native American women. New Brunswick: Rutgers University Press.
Harrell Jr., F. and Dupont, C. (2017). Hmisc: Harrell miscellaneous [electronic resource]. Washington, D.C.: FP2020.
Hindin, M. and Kalamar, A. (2017). Country-specific data on the contraceptive needs of adolescents. 95(3): 166–166. doi:. Bulletin of the World Health Organization 95(3): 166.
Hindin, M., Tuncalp, O., Gerdts, C., Gipson, J., and Say, L. (2016). Monitoring adolescent sexual and reproductive health. Bulletin of the World Health Organization 94(3): 157–232.
ICRW (2014). Understanding the adolescent family planning evidence base. Washington, D.C.: International Center for Research on Women.
Kirby, D. (2011). Sex education: Access and impact on sexual behaviour of young people. New York: Expert Group Meeting on Adolescents, Youth, and Development; United Nations, Population Division, Department of Economic and Social Affairs.
Kothari, M., Shanxiao, W., Head, S., and Abderrahim, N. (2012). Trends in adolescent reproductive and sexual behaviors: A comparative analysis. Calverton: ICF International (DHS Comparative Reports 29).
Leifeld, P. (2007). texreg: Conversion of statistical model output in R to LaTeX and HTML tables. Journal of Statistical Software 55(8): 124.
Loaiza, E. and Liang, M. (2013). Adolescent pregnancy: A review of the evidence [electronic resource]. New York: United Nations Population Fund (UNFPA).
MacQuarrie, K. (2014). Unmet need for family planning among young women: Levels and trends. Rockville: ICF International (DHS Comparative Reports 34).
Morris, J. and Rushwan, H. (2015). Adolescent sexual and reproductive health: The global challenges. International Journal of Gynaecology and Obstetrics 131(S1): S40–S42.
Neelofur-Khan, D. and WHO (2007). Adolescent pregnancy: Unmet needs and undone deeds: A review of the literature and programmes [electronic resource]. Geneva: World Health Organization.
Pinheiro, J., Bates, D., DebRoy, S., Sarkar, D., and R Core Team (2017). nlme: Linear and nonlinear mixed effects models: R package version 3.1–131 [electronic resource]. Geneva: World Health Organization.
Polis, C., Bradley, S., Bankole, A., Onda, T., Croft, T., and Singh, S. (2016). Typical-use contraceptive failure rates in 43 countries with Demographic and Health Survey data: Summary of a detailed report. Contraception 94(1): 1217.
R Core Team (2017). R: A language and environment for statistical computing: R version 3.4.0 patched [electronic resource]. Vienna: R Foundation for Statistical Computing.
Raj, A. and Boehmer, U. (2013). Girl child marriage and its association with national rates of HIV, maternal health, and infant mortality across 97 countries. Violence Against Women 19(4): 536–551.
Rindfuss, R., Choe, M., Tsuya, N., Bumpass, L., and Tamaki, E. (2015). Do low survey response rates bias results? Evidence from Japan. Demographic Research 32(26): 797–828.
Robinson, D. (2017). broom: Convert statistical analysis objects into tidy data frames: R package version 0.4.2 [electronic resource].
Santhya, K. and Jejeebhoy, S. (2015). Sexual and reproductive health and rights of adolescent girls: Evidence from low- and middle-income countries. Global Public Health 10(2): 189–221.
Scheipl, F., Greven, S., and Kuechenhoff, H. (2008). Size and power of tests for a zero random effect variance or polynomial regression in additive and linear mixed models. Computational Statistics and Data Analysis 52(7): 3283–3299.
Sedgh, G., Singh, S., and Hussain, R. (2014). Intended and unintended pregnancies worldwide in 2012 and recent trends. Studies on Family Planning 45(3): 301–314.
Senanayake, P., Nott, J., and Faulkner, K. (2001). Adolescent sexual and reproductive health: The challenge for society. Human Fertility 4(2): 117–122.
Singh, S., Bankole, A., and Darroch, J. (2017). The impact of contraceptive use and abortion on fertility in sub-Saharan Africa: Estimates for 2003–2014. Population and Development Review 43(S1): 141–165.
Snijders, T. and Berkhof, J. (2008). Diagnostic checks for multilevel models. In: de Leeuw, J. and Meijer, E. (eds.). Handbook of multilevel analysis. New York: Springer: 139–173.
Stover, J. (1998). Revising the proximate determinants of fertility framework: What have we learned in the past 20 years? Studies in Family Planning 29(3): 255–267.
UN (2013). Adolescent fertility since the International Conference on Population and Development (ICPD) in Cairo. New York: United Nations, Department of Economic and Social Affairs, Population Division.
UN (2015). Transforming our world: The 2030 agenda for sustainable development [electronic resource]. New York: United Nations, UNGA Resolution.
UN (2016). Trends in contraceptive use worldwide. New York: United Nations, Department of Economic and Social Affairs, Population Division.
UN (2014). World contraceptive use. New York: United Nations, Department of Economic and Social Affairs, Population Division.
UNFPA (2010). How universal is access to reproductive health? A review of the evidence. New York: United Nations Population Fund (UNFPA).
UNICEF (2005). Early marriage: A harmful traditional practice: A statistical exploration. New York: United Nations Children’s Fund (UNICEF).
UNICEF (2001). Early marriage: Child spouses. Innocenti Digest 1(7): 1–28.
Vogel, J., Pileggi-Castro, C., Chandra-Mouli, V., Nogueira, V., Souza, J., Chou, D., and Say, L. (2015). Millennium development goal 5 and adolescents: Looking back, moving forward. Archives of Disease in Childhood 100(S1): S43–S47.
WHO (2016). Adolescent contraceptive use [electronic resource]. Geneva: World Health Organization.
WHO (2010). Position paper on mainstreaming adolescent pregnancy in efforts to make pregnancy safer. Geneva: World Health Organization (WHO).
WHO (2011). WHO guidelines on preventing early pregnancy and poor reproductive outcomes among adolescents in developing countries. Geneva: World Health Organization (WHO).
Wickham, H. (2017). tidyverse: Easily install and load the ‘tidyverse’: R package version 1.2.1 [electronic resource].
Xie, Y. (2015). Dynamic documents with R and knitr. Boca Raton: Chapman.
Xie, Y. (2014). Knitr: A comprehensive tool for reproducible research in R. In: Stodden, V., Leisch, F., and Peng, R. (eds.). Implementing reproducible computational research. London: Chapman: 3–33.
Xie, Y. (2017). knitr: A general-purpose package for dynamic report generation in R: R package version 1.17.