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CPS1852 Leonard KA
From model (2) low birth weight is associated with lower birth order, being
female, being a twin, and not being in the ‘richer’ quintile. Mothers’s age at
first birth, mother’s smoking status, place of residence, and mother’s marital
status do not appear to be associated with low birth weight. The results for
education are again bizarre.

4. Discussion and Conclusion
We have established that increasing birth order is associated with
increasing birth weight as well as reduced incidence of low birth weight. We
have also identified the maternal and other child factors that influence birth
weight. Our results generally agree with what has been has been observed
elsewhere in the sub-Saharan Africa region (Bililign et al., 2018; Gathimba et
al., 2017; Kayode et al., 2014; Mwabu, 2008; Ngwira 2015), apart from the effect
of urban residence. The significance of the variance of the mother level
random effects highlights the importance of using multilevel models in such
situations.

References
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Namagembe, I., Kasangaki, A. and Banura C. (2016) Prevalence and
Factors Associated with Low Birth Weight among Teenage Mothers in
New Mulago Hospital: A Cross Sectional Study. J Health Sci (El Monte),4:
192–199.doi: 10.17265/2328-7136/2016.04.003
2. Bililign, N., Legesse, M., Akibu, M. (2018) A Review of Low Birth Weight in
Ethiopia: Socio-Demographic and Obstetric Risk Factors. Glob J Res Rev
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5. Fitzmaurice, G., Laird, N., Ware, J. (2004) Applied Longitudinal Analysis.
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6. Gathimba, N. W., Wanjoya, A., Kiplagat, G. K., Mbugua, L., Kibiwott, K.
(2017) Modeling Maternal Risk Factors Affecting Low Birth Weight
Among Infants in Kenya. American Journal of Theoretical and Applied
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7. Kayode, G.A., Amoakoh-Coleman, M., Agyepong, I.A., Ansah, E., Grobbee,
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Weight: A Multilevel Analysis. PLoS ONE 9(10): e109333.
https://doi.org/10.1371/journal.pone.0109333

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