| Title |
Incomplete childhood immunization in Nigeria: a multilevel analysis of individual and contextual factors
|
|---|---|
| Published in |
BMC Public Health, March 2017
|
| DOI | 10.1186/s12889-017-4137-7 |
| Pubmed ID | |
| Authors |
Sulaimon T. Adedokun, Olalekan A. Uthman, Victor T. Adekanmbi, Charles S. Wiysonge |
| Abstract |
Under-five mortality remains high in sub-Saharan Africa despite global decline. One quarter of these deaths are preventable through interventions such as immunization. The aim of this study was to examine the independent effects of individual-, community- and state-level factors on incomplete childhood immunization in Nigeria, which is one of the 10 countries where most of the incompletely immunised children in the world live. The study was based on secondary analyses of cross-sectional data from the 2013 Nigeria Demographic and Health Survey (DHS). Multilevel multivariable logistic regression models were applied to the data on 5,754 children aged 12-23 months who were fully immunized or not (level 1), nested within 896 communities (level 2) from 37 states (level 3). More than three-quarter of the children (76.3%) were not completely immunized. About 83% of children of young mothers (15-24 years) and 94% of those whose mothers are illiterate did not receive full immunization. In the fully adjusted model, the chances of not being fully immunized reduced for children whose mothers attended antenatal clinic (adjusted odds ratio [aOR] = 0.49; 95% credible interval [CrI] = 0.39-0.60), delivered in health facility (aOR = 0.62; 95% CrI = 0.51-0.74) and lived in urban area (aOR = 0.66; 95% CrI = 0.50-0.82). Children whose mothers had difficulty getting to health facility (aOR = 1.28; 95% CrI = 1.02-1.57) and lived in socioeconomically disadvantaged communities (aOR = 2.93; 95% CrI = 1.60-4.71) and states (aOR = 2.69; 955 CrI =1.37-4.73) were more likely to be incompletely immunized. This study has revealed that the risk of children being incompletely immunized in Nigeria was influenced by not only individual factors but also community- and state-level factors. Interventions to improve child immunization uptake should take into consideration these contextual characteristics. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Nigeria | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 453 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 453 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 104 | 23% |
| Researcher | 42 | 9% |
| Student > Bachelor | 40 | 9% |
| Student > Postgraduate | 33 | 7% |
| Student > Ph. D. Student | 33 | 7% |
| Other | 60 | 13% |
| Unknown | 141 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 123 | 27% |
| Nursing and Health Professions | 78 | 17% |
| Social Sciences | 24 | 5% |
| Biochemistry, Genetics and Molecular Biology | 9 | 2% |
| Agricultural and Biological Sciences | 8 | 2% |
| Other | 43 | 9% |
| Unknown | 168 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 297. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 12 July 2023.
All research outputs
#107,731
of 24,063,285 outputs
Outputs from BMC Public Health
#91
of 15,833 outputs
Outputs of similar age
#2,675
of 311,392 outputs
Outputs of similar age from BMC Public Health
#1
of 186 outputs
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