Skip to main content
Top
Published in: BMC Women's Health 1/2019

Open Access 01-12-2019 | Human Immunodeficiency Virus | Research article

Predictors of contraceptive use among adolescent girls and young women (AGYW) aged 15 to 24 years in South Africa: results from the 2012 national population-based household survey

Authors: L. Makola, L. Mlangeni, M. Mabaso, B. Chibi, Z. Sokhela, Z. Silimfe, L. Seutlwadi, D. Naidoo, S. Khumalo, A. Mncadi, K. Zuma

Published in: BMC Women's Health | Issue 1/2019

Login to get access

Abstract

Background

Despite a variety of contraceptives being available for women in South Africa, a considerable number of adolescent girls and young women still face challenges in using them. This paper examines socio-demographic and behavioral predictors of using contraceptives among adolescent girls and young women (AGYW) aged 15 to 24 years.

Methods

A secondary data analysis was conducted based on the 2012 population-based nationally representative multi-stage stratified cluster randomised household survey. Multivariate backward stepwise logistic regression model was used to examine socio-demographic and behavioural factors independently associated with contraceptive use amongst AGYW aged 15 to 24 years in South Africa.

Results

Out of 1460 AGYW, 78% (CI: 73.9–81.7) reported using some form of contraceptives. In the model, contraceptive use was significantly associated with secondary education [OR = 1.8 (1.2–2.7), p = 0.005], having a sexual partner within 5 years of their age [OR = 1.8 (1.2–2.5), p = 0.002], and sexual debut at age 15 years and older [OR = 2.5 (1.3–4.6), p = 0.006]. The likelihood of association decreased with other race groups-White, Coloured, and Indians/Asians [OR = 0.5 (0.3–0.7), p = 0.001], being married [OR = 0.4 (0.2–0.7), p = 0.001], never given birth [OR = 0.7 (0.5–0.9), p = 0.045], coming from rural informal [OR = 0.5 (0.3–0.9), p = 0.010] and rural formal settlements [OR = 0.5 (0.3–0.9), p = 0.020].

Conclusions

Evidence suggest that interventions should be tailor-made to meet the needs of AGYW in order to, promote use and access to contraceptives. The results also suggest that family planning interventions should target those who had not given birth in order to reduce unplanned and or unintended pregnancies and associated risk factors. These findings contribute to public health discourse and reproductive health planning for these age groups in the country.
Literature
1.
go back to reference Feucht UD, Meyer A, Kruger M. Missing HIV prevention opportunities in south African children–a 7-year review. BMC Public Health. 2014;14(1):1265.CrossRef Feucht UD, Meyer A, Kruger M. Missing HIV prevention opportunities in south African children–a 7-year review. BMC Public Health. 2014;14(1):1265.CrossRef
2.
go back to reference Darroch JE, Woog V, Bankole A, Ashford LS. Adding it up: costs and benefits of meeting the contraceptive needs of adolescents. 2016. Darroch JE, Woog V, Bankole A, Ashford LS. Adding it up: costs and benefits of meeting the contraceptive needs of adolescents. 2016.
3.
go back to reference Michalow J, Chola L, McGee S, Tugendhaft A, Pattinson R, Kerber K, et al. Triple return on investment: the cost and impact of 13 interventions that could prevent stillbirths and save the lives of mothers and babies in South Africa. BMC Pregnancy Childbirth. 2015;15(1):39.CrossRef Michalow J, Chola L, McGee S, Tugendhaft A, Pattinson R, Kerber K, et al. Triple return on investment: the cost and impact of 13 interventions that could prevent stillbirths and save the lives of mothers and babies in South Africa. BMC Pregnancy Childbirth. 2015;15(1):39.CrossRef
4.
go back to reference Singh S, Bankole A, Darroch JE. The impact of contraceptive use and abortion on fertility in sub-Saharan Africa: estimates for 2003–2014. Popul Dev Rev. 2017;43(S1):141–65.CrossRef Singh S, Bankole A, Darroch JE. The impact of contraceptive use and abortion on fertility in sub-Saharan Africa: estimates for 2003–2014. Popul Dev Rev. 2017;43(S1):141–65.CrossRef
5.
go back to reference Sedgh G, Ashoford LS, Hussain R. Unmet need for contraception in developing countries: examine women’s reasons for not using a method. The Guttmacher Institute, 2016. Sedgh G, Ashoford LS, Hussain R. Unmet need for contraception in developing countries: examine women’s reasons for not using a method. The Guttmacher Institute, 2016.
6.
go back to reference Bjelica A. Socio-demographic factors influence contraception use among female students of the University of Novi sad (Serbia). The Eur J Contracept Reprod Health Care. 2008;13(4):422–30.CrossRef Bjelica A. Socio-demographic factors influence contraception use among female students of the University of Novi sad (Serbia). The Eur J Contracept Reprod Health Care. 2008;13(4):422–30.CrossRef
7.
go back to reference Solanke BL. Factors influencing contraceptive use and non-use among women of advanced reproductive age in Nigeria. J Health Popul Nutr. 2017;36(1):1.CrossRef Solanke BL. Factors influencing contraceptive use and non-use among women of advanced reproductive age in Nigeria. J Health Popul Nutr. 2017;36(1):1.CrossRef
8.
go back to reference Blackstone SR, Iwelunmor J. Determinants of contraceptive use among Nigerian couples: evidence from the 2013 demographic and health survey. Contracept Reprod Med. 2017;2(1):9.CrossRef Blackstone SR, Iwelunmor J. Determinants of contraceptive use among Nigerian couples: evidence from the 2013 demographic and health survey. Contracept Reprod Med. 2017;2(1):9.CrossRef
9.
go back to reference Christofides NJ, Jewkes RK, Dunkle KL, Nduna M, Shai NJ, Sterk C. Early adolescent pregnancy increases risk of incident HIV infection in the Eastern Cape, South Africa: a longitudinal study. J Int AIDS Society. 2014;17(1). Christofides NJ, Jewkes RK, Dunkle KL, Nduna M, Shai NJ, Sterk C. Early adolescent pregnancy increases risk of incident HIV infection in the Eastern Cape, South Africa: a longitudinal study. J Int AIDS Society. 2014;17(1).
10.
go back to reference Rios-Zertuche D, Blanco LC, Zúñiga-Brenes P, Palmisano EB, Colombara DV, Mokdad AH, Iriarte E. Contraceptive knowledge and use among women living in the poorest areas of five Mesoamerican countries. Contraception. 2017;95(6):549–57.CrossRef Rios-Zertuche D, Blanco LC, Zúñiga-Brenes P, Palmisano EB, Colombara DV, Mokdad AH, Iriarte E. Contraceptive knowledge and use among women living in the poorest areas of five Mesoamerican countries. Contraception. 2017;95(6):549–57.CrossRef
11.
go back to reference Ochako R, Mbondo M, Aloo S, Kaimenyi S, Thompson R, Temmerman M, Kays M. Barriers to modern contraceptive methods uptake among young women in Kenya: a qualitative study. BMC Public Health. 2015;15(1):118.CrossRef Ochako R, Mbondo M, Aloo S, Kaimenyi S, Thompson R, Temmerman M, Kays M. Barriers to modern contraceptive methods uptake among young women in Kenya: a qualitative study. BMC Public Health. 2015;15(1):118.CrossRef
12.
go back to reference Toska E, Cluver LD, Boyes M, Pantelic M, Kuo C. From ‘sugar daddies’ to ‘sugar babies’: exploring a pathway among age-disparate sexual relationships, condom use and adolescent pregnancy in South Africa. Sex Health. 2015;12(1):59–66.CrossRef Toska E, Cluver LD, Boyes M, Pantelic M, Kuo C. From ‘sugar daddies’ to ‘sugar babies’: exploring a pathway among age-disparate sexual relationships, condom use and adolescent pregnancy in South Africa. Sex Health. 2015;12(1):59–66.CrossRef
13.
go back to reference Digitale J, Psaki S, Soler-Hampejsek E, Mensch BS. Correlates of contraceptive use and health facility choice among young women in Malawi. The ANN Am Acad Pol Soc Sci. 2017;669(1):93–124.CrossRef Digitale J, Psaki S, Soler-Hampejsek E, Mensch BS. Correlates of contraceptive use and health facility choice among young women in Malawi. The ANN Am Acad Pol Soc Sci. 2017;669(1):93–124.CrossRef
14.
go back to reference WHO U, Mathers C. Global strategy for women's, children's and adolescents' health (2016–2030). Organization. 2017;2016(9). WHO U, Mathers C. Global strategy for women's, children's and adolescents' health (2016–2030). Organization. 2017;2016(9).
15.
go back to reference Shisana O, Rehle T, Simbayi LC, Zuma K, Jooste S, Zungu N, et al South African national HIV prevalence, incidence and behaviour survey, 2012. 2014. Shisana O, Rehle T, Simbayi LC, Zuma K, Jooste S, Zungu N, et al South African national HIV prevalence, incidence and behaviour survey, 2012. 2014.
16.
go back to reference Mlangeni L, Makola L, Naidoo I, Chibi B, Sokhela Z, Silimfe Z, Mabaso M. Factors associated with physical activity in South Africa: evidence from a National Population Based Survey. The Open Public Health J. 2018;11(1). Mlangeni L, Makola L, Naidoo I, Chibi B, Sokhela Z, Silimfe Z, Mabaso M. Factors associated with physical activity in South Africa: evidence from a National Population Based Survey. The Open Public Health J. 2018;11(1).
17.
go back to reference Nyarko SH. Prevalence and correlates of contraceptive use among female adolescents in Ghana. BMC Womens Health. 2015;15(1):60.CrossRef Nyarko SH. Prevalence and correlates of contraceptive use among female adolescents in Ghana. BMC Womens Health. 2015;15(1):60.CrossRef
18.
go back to reference Tekelab T, Melka AS, Wirtu D. Predictors of modern contraceptive methods use among married women of reproductive age groups in Western Ethiopia: a community based cross-sectional study. BMC Womens Health. 2015;15(1):52.CrossRef Tekelab T, Melka AS, Wirtu D. Predictors of modern contraceptive methods use among married women of reproductive age groups in Western Ethiopia: a community based cross-sectional study. BMC Womens Health. 2015;15(1):52.CrossRef
19.
go back to reference Akokuwebe ME, Ojo OA. Factors influencing acceptability of family planning among women in rural communities in Ife central local government area, Osun state. Nigeria. Akokuwebe ME, Ojo OA. Factors influencing acceptability of family planning among women in rural communities in Ife central local government area, Osun state. Nigeria.
20.
go back to reference Jacobs P, Makaudze E. Understanding rural livelihoods in the west coast district. South Afr Dev South Afr. 2012;29(4):574–87.CrossRef Jacobs P, Makaudze E. Understanding rural livelihoods in the west coast district. South Afr Dev South Afr. 2012;29(4):574–87.CrossRef
21.
go back to reference Peer N, Morojele N, London L. Factors associated with contraceptive use in a rural area in Western Cape Province. SAMJ. 2013;103(6):406–12.CrossRef Peer N, Morojele N, London L. Factors associated with contraceptive use in a rural area in Western Cape Province. SAMJ. 2013;103(6):406–12.CrossRef
22.
go back to reference Dickson KE, Ashton J, Smith J-M. Does setting adolescent-friendly standards improve the quality of care in clinics? Evidence from South Africa. Int J Qual Health Care. 2007;19(2):80–9.CrossRef Dickson KE, Ashton J, Smith J-M. Does setting adolescent-friendly standards improve the quality of care in clinics? Evidence from South Africa. Int J Qual Health Care. 2007;19(2):80–9.CrossRef
23.
go back to reference Yadav K, Agarwal M, Singh JV, Singh VK. Determinants of non-use of family planning methods by young married women (15-24 years) living in urban slums of Uttar Pradesh. Indian J Community Health. 2017;29(1):55–66. Yadav K, Agarwal M, Singh JV, Singh VK. Determinants of non-use of family planning methods by young married women (15-24 years) living in urban slums of Uttar Pradesh. Indian J Community Health. 2017;29(1):55–66.
24.
go back to reference Shree V, Prasad R, Kumar S, Sinha S, Choudhary SK. Factors for non-acceptance of contraceptive methods amongst married women of reproductive age group in rural Patna. Int J Community Med Public Health. 2017;4(6):1882–7.CrossRef Shree V, Prasad R, Kumar S, Sinha S, Choudhary SK. Factors for non-acceptance of contraceptive methods amongst married women of reproductive age group in rural Patna. Int J Community Med Public Health. 2017;4(6):1882–7.CrossRef
25.
go back to reference Sonfield A, Kost K. Public costs from unintended pregnancies and the role of public insurance programs in paying for pregnancy-related care. National State Estimates for 2010. 2015:2015. Sonfield A, Kost K. Public costs from unintended pregnancies and the role of public insurance programs in paying for pregnancy-related care. National State Estimates for 2010. 2015:2015.
26.
go back to reference Yazdkhasti M, Pourreza A, Pirak A, Abdi F. Unintended pregnancy and its adverse social and economic consequences on health system: a narrative review article. Iran J Public Health. 2015;44(1):12.PubMedPubMedCentral Yazdkhasti M, Pourreza A, Pirak A, Abdi F. Unintended pregnancy and its adverse social and economic consequences on health system: a narrative review article. Iran J Public Health. 2015;44(1):12.PubMedPubMedCentral
27.
go back to reference Seutlwadi L, Peltzer K, Mchunu G, Tutshana BO. Contraceptive use and associated factors among South African youth (18–24 years): A population-based survey. South Afr J Obstet Gynaecol. 2012;18(2). Seutlwadi L, Peltzer K, Mchunu G, Tutshana BO. Contraceptive use and associated factors among South African youth (18–24 years): A population-based survey. South Afr J Obstet Gynaecol. 2012;18(2).
28.
go back to reference Finer LB, Philbin JM. Sexual initiation, contraceptive use, and pregnancy among young adolescents. Pediatrics. 2013;131(5):886–91.CrossRef Finer LB, Philbin JM. Sexual initiation, contraceptive use, and pregnancy among young adolescents. Pediatrics. 2013;131(5):886–91.CrossRef
29.
go back to reference Raine TR, Gard JC, Boyer CB, Haider S, Brown BA, Ramirez Hernandez FA, et al. Contraceptive decision-making in sexual relationships: young men's experiences, attitudes and values. Culture Health Sexuality. 2010;12(4):373–86.CrossRef Raine TR, Gard JC, Boyer CB, Haider S, Brown BA, Ramirez Hernandez FA, et al. Contraceptive decision-making in sexual relationships: young men's experiences, attitudes and values. Culture Health Sexuality. 2010;12(4):373–86.CrossRef
30.
go back to reference Beauclair R, Dushoff J, Delva W. Partner age differences and associated sexual risk behaviours among adolescent girls and young women in a cash transfer programme for schooling in Malawi. BMC Public Health. 2018;18(1):403.CrossRef Beauclair R, Dushoff J, Delva W. Partner age differences and associated sexual risk behaviours among adolescent girls and young women in a cash transfer programme for schooling in Malawi. BMC Public Health. 2018;18(1):403.CrossRef
31.
go back to reference Brouard P, Crewe M. Sweetening the deal? Sugar daddies, sugar mummies, sugar babies and HIV in contemporary South Africa. Agenda. 2012;26(4):48–56.CrossRef Brouard P, Crewe M. Sweetening the deal? Sugar daddies, sugar mummies, sugar babies and HIV in contemporary South Africa. Agenda. 2012;26(4):48–56.CrossRef
32.
go back to reference Ritchwood TD, Hughes JP, Jennings L, MacPhail C, Williamson B, Selin A, et al. Characteristics of age-discordant partnerships associated with HIV risk among young South African women (HPTN 068). J Acqui Immune Defic Syndr (1999). 2016;72(4):423.CrossRef Ritchwood TD, Hughes JP, Jennings L, MacPhail C, Williamson B, Selin A, et al. Characteristics of age-discordant partnerships associated with HIV risk among young South African women (HPTN 068). J Acqui Immune Defic Syndr (1999). 2016;72(4):423.CrossRef
33.
go back to reference MacPhail C, Pettifor AE, Pascoe S, Rees HV. Contraception use and pregnancy among 15–24 year old south African women: a nationally representative cross-sectional survey. BMC Med. 2007;5(1):31.CrossRef MacPhail C, Pettifor AE, Pascoe S, Rees HV. Contraception use and pregnancy among 15–24 year old south African women: a nationally representative cross-sectional survey. BMC Med. 2007;5(1):31.CrossRef
Metadata
Title
Predictors of contraceptive use among adolescent girls and young women (AGYW) aged 15 to 24 years in South Africa: results from the 2012 national population-based household survey
Authors
L. Makola
L. Mlangeni
M. Mabaso
B. Chibi
Z. Sokhela
Z. Silimfe
L. Seutlwadi
D. Naidoo
S. Khumalo
A. Mncadi
K. Zuma
Publication date
01-12-2019
Publisher
BioMed Central
Published in
BMC Women's Health / Issue 1/2019
Electronic ISSN: 1472-6874
DOI
https://doi.org/10.1186/s12905-019-0861-8

Other articles of this Issue 1/2019

BMC Women's Health 1/2019 Go to the issue