Utilizing A Multi-Stage Transition Model for Analysing Child Stunting in Two Urban Slum Settlements of Nairobi: A Longitudinal Analysis, 2011-2014.

dc.contributor.authorOduro, Michael S.
dc.contributor.authorIddiI, Samuel
dc.contributor.authorAsiedu, Louis
dc.contributor.authorAsiki, Gershim
dc.contributor.authorKadengye, DamazoT.
dc.date.accessioned2024-06-04T16:05:50Z
dc.date.available2024-06-04T16:05:50Z
dc.date.issued2024
dc.description.abstractIntroduction Stunting is common among children in many low and middle-income countries, particularly in rural and urban slum settings. Few studies have described child stunting transitions and the associated factors in urban slum settlements. We describe transitions between stunting states and associated factors among children living in Nairobi slum settlements. Methods This study used data collected between 2010 and 2014 from the Nairobi Urban and Demographic Surveillance System (NUHDSS) and a vaccination study nested within the surveillance system. A subset of 692 children aged 0 to 3 years, with complete anthropometric data, and household socio-demographic data was used for the analysis. Height-for-age Z- scores (HAZ) were used to define stunting: normal (HAZ � 1), marginally stunted (-2 � HAZ< -1), moderately stunted (-3 � HAZ < -2), and severely stunted (HAZ < -3). Transitions from one stunting level to another and in the reverse direction were computed. The associations between explanatory factors and the transitions between four child stunting states were modeled using a continuous-time multi-state model. Results We observed that 48%, 39%, 41%, and 52% of children remained in the normal, marginally stunted, moderately stunted, and severely stunted states, respectively. About 29% transitioned from a normal to a marginally stunted state, 15% to a moderately stunted state, and 8% to a severely stunted state. Also, 8%, 12%, and 29% back transitioned from severely stunted, moderately stunted, and marginally stunted states, to the normal state, respectively. The shared common factors associated with all transitions to a more severe state include male gender, ethnicity (only for mild and severe transition states), child’s age, and household food insecurity. In Korogocho, children whose parents were married and those whose mothers had attained primary or post-primary education were associated with a transition from a mild state into a moderately stunted state. Children who were breastfed exclusively were less likely to transition from a moderate to severe stunting state. Conclusion These findings reveal a high burden of stunting and transitions in urban slums. Context-specific interventions targeting the groups of children identified by the socio-demographic factors are needed. Improving food security and exclusive breastfeeding could potentially reduce stunting in the slums.
dc.identifier.citationOduro, M. S. et al. (2024).Utilizing A Multi-Stage Transition Model for Analysing Child Stunting in Two Urban Slum Settlements of Nairobi: A Longitudinal Analysis, 2011-2014. Kabale: Kabale University.
dc.identifier.urihttp://hdl.handle.net/20.500.12493/2021
dc.language.isoen_US
dc.publisherKabale University
dc.subjectUtilizing
dc.subjectMulti-Stage Transition Model
dc.subjectAnalysing Child Stunting
dc.subjectTwo Urban Slum Settlements
dc.subjectNairobi
dc.subjectA Longitudinal Analysis
dc.subject2011-2014
dc.titleUtilizing A Multi-Stage Transition Model for Analysing Child Stunting in Two Urban Slum Settlements of Nairobi: A Longitudinal Analysis, 2011-2014.
dc.typeArticle

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