Page 108 - IJPS-11-3

International Journal of
Population Studies Male fertility in Uganda

male fertility. I also acknowledge the Measure DHS for Population Studies, 32(3):4405-4416.
granting both access and permission to use the UDHS data https://doi.org/10.11564/32-3-1224
and the effort of all reviewers is commended.
Alamri, Y.A. (2011). Islam and abortion. Journal of the Islamic
Funding Medical Association of North America, 43(1):39-40.
None. https://doi.org/10.5915/43-1-5755
Allison, P. (2001). Missing Data: Series: Quantitative Applications
Conflict of interest in the Social Sciences. A Sage University Paper. Thousands
Oaks CA: Sage, p.72-89. Available from: https://us.sagepub.
On behalf of the authors, the corresponding author com/en-us/nam/missing-data/book9419 [Last accessed on
declares that there is no conflict of interest to be declared 2024 Jun 23].
as far as this research is concerned.
Asiimwe, J.B., Ndugga, P., Mushomi, J., & Manyenye Ntozi, J.P.
Author contributions (2014). Factors associated with modern contraceptive use
among young and older women in Uganda; A comparative
Conceptualization: All authors analysis. BMC Public Health, 14(1):926.
Investigation: Henry Nsobya
Writing-original draft: All authors https://doi.org/10.1186/1471-2458-14-926
Writing-review & editing: Elizabeth Nansubuga, Cyprian Avery, C., St Clair, T., Levin, M., & Hill, K. (2013). The “Own
Misinde Children” fertility estimation procedure: A reappraisal.
Population Studies (Camb), 67(2):171-183.
Ethics approval and consent to participate https://doi.org/10.1080/00324728.2013.769616
Permission to use the UDHS data sets was obtained online Bongaarts, J. (1993). The supply-demand framework for the
from the Monitoring and Evaluation to Assess and Use determinants of fertility: An alternative implementation.
Results (MEASURE) DHS program. Population Studies, 47(3):437-456.

Consent for publication https://doi.org/10.1080/0032472031000147236
Bongaarts, J. (2015). Modeling the fertility impact of the
Not applicable. proximate determinants: Time for a tune-up. Demographic

Availability of data Research, 33(1):535-560.
https://doi.org/10.4054/DemRes.2015.33.19
The datasets are available online and can be accessed by
applying through the DHS website. The data analyzed were Candia, D.A., & Kisangala, E. (2021). Determinants of multiple
accessed using the following link: http://www.dhsprogram. partner fertility among males in Uganda: A cross-sectional
study. BMC Public Health, 21(1):1465.
com/data/dataset_admin/login_main.cfm
https://doi.org/10.1186/s12889-021-11505-1
Further disclosure Dubuc, S. (2009). Application of the own-children method for

The findings of this research were presented during the Union estimating fertility by ethnic and religious groups in the UK.
of African Population Scientists (UAPS) conference held in Journal of Population Research, 26(3):207-225.
Entebbe, Uganda, in November 2019, with two abstracts, https://doi.org/10.1007/s12546-009-9020-7
one of which was an oral session. In addition, this work Duvander, A.Z., & Andersson, G. (2006). Gender equality and
was conducted and presented as a dissertation to Makerere fertility in Sweden. Marriage and Family Review, 39(1-
University as part of the requirements for the award of a 2):121-142.
Master of Science Degree in Population and Reproductive
Health of Makerere University, Kampala, Uganda. https://doi.org/10.1300/J002v39n01_07
Grabill, W.R., & Cho, L.J. (1965). Methodology for the
References measurement of current fertility from population data on
young children. Demography, 2(1):50-73.
Abbasi-Shavazi, M.J. (1997). An assessment of the own-children
method of estimating fertility by birthplace in Australia. Journal https://doi.org/10.2307/2060106
of the Australian Population Association, 14(2):167-185.
Green, M.E., & Biddlecom, A.E. (2004). Absent and problematic
https://doi.org/10.1007/BF03029338 men: Demographic accounts of male reproductive roles.
Population and Development Review, 26(1):81-115.
Adewole, O.G., Adedini, S.A., & Bisiriyu, L.A. (2018). Multilevel
analysis of male fertility behaviour in Nigeria. African https://doi.org/10.1111/j.1728-4457.2000.00081.x

Volume 11 Issue 3 (2025) 102 https://doi.org/10.36922/ijps.461