Application of Ordinal Logistic Regression Model to Nutritional Status of the Under-Five Children Indexed by Weight-for-Height
Background and aim: In this paper, we present results regarding the outcomes of some anthropometric, epidemiological and demographic factors on the nutritional status of the under-five children which were categorized into three ordinal groups of Severe Acute Malnutrition (SAM), Moderate Acute Malnut...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Tehran University of Medical Sciences
2020-06-01
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| Series: | Journal of Biostatistics and Epidemiology |
| Subjects: | |
| Online Access: | https://jbe.tums.ac.ir/index.php/jbe/article/view/308 |
| _version_ | 1818788362072358912 |
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| author | Anthony Ekpo Waheed Babatunde Yahya |
| author_facet | Anthony Ekpo Waheed Babatunde Yahya |
| author_sort | Anthony Ekpo |
| collection | DOAJ |
| description | Background and aim: In this paper, we present results regarding the outcomes of some anthropometric, epidemiological and demographic factors on the nutritional status of the under-five children which were categorized into three ordinal groups of Severe Acute Malnutrition (SAM), Moderate Acute Malnutrition (MAM) and Global Acute Malnutrition (GAM) in Kazaure Local Government Area in Nigeria.
Methods: An ordinal logistic model that depicted the log-odds in favour of GAM (normal) child was fitted to the data based on surveillance indexed by Weight-For-Height (WFH).
Results:The results showed that the proportional odd of measuring the nutritional status of a child in a nutrition survey using the WFH index has the OR= 7.43 (95% CI, 4.717 to 11.705) times greater, with Wald )1(2 =74.81, p<0.001, hence a statistically significant effect.
Conclusion: Based on the results and summary of findings, it can be concluded that age is a major predictor of the nutrition status of a child in a nutritional study when the surveillance is based on WFH index unlike sex and measles that do not play a major role. |
| first_indexed | 2024-12-18T14:22:27Z |
| format | Article |
| id | doaj.art-54f146bd671940e8abb97eea6b1d3a9e |
| institution | Directory Open Access Journal |
| issn | 2383-4196 2383-420X |
| language | English |
| last_indexed | 2024-12-18T14:22:27Z |
| publishDate | 2020-06-01 |
| publisher | Tehran University of Medical Sciences |
| record_format | Article |
| series | Journal of Biostatistics and Epidemiology |
| spelling | doaj.art-54f146bd671940e8abb97eea6b1d3a9e2022-12-21T21:04:49ZengTehran University of Medical SciencesJournal of Biostatistics and Epidemiology2383-41962383-420X2020-06-015310.18502/jbe.v5i3.3620Application of Ordinal Logistic Regression Model to Nutritional Status of the Under-Five Children Indexed by Weight-for-HeightAnthony Ekpo0Waheed Babatunde Yahya1Department of Mathematics/Statistics/Computer Science,University of Agriculture, Makurdi, NigeriaDepartment of Statistics University of Ilorin, Ilorin, NigeriaBackground and aim: In this paper, we present results regarding the outcomes of some anthropometric, epidemiological and demographic factors on the nutritional status of the under-five children which were categorized into three ordinal groups of Severe Acute Malnutrition (SAM), Moderate Acute Malnutrition (MAM) and Global Acute Malnutrition (GAM) in Kazaure Local Government Area in Nigeria. Methods: An ordinal logistic model that depicted the log-odds in favour of GAM (normal) child was fitted to the data based on surveillance indexed by Weight-For-Height (WFH). Results:The results showed that the proportional odd of measuring the nutritional status of a child in a nutrition survey using the WFH index has the OR= 7.43 (95% CI, 4.717 to 11.705) times greater, with Wald )1(2 =74.81, p<0.001, hence a statistically significant effect. Conclusion: Based on the results and summary of findings, it can be concluded that age is a major predictor of the nutrition status of a child in a nutritional study when the surveillance is based on WFH index unlike sex and measles that do not play a major role.https://jbe.tums.ac.ir/index.php/jbe/article/view/308Under-five;Statistical surveillance;Anthropometrics;Bilateral edema;Odd-ratio;Nutritional status; |
| spellingShingle | Anthony Ekpo Waheed Babatunde Yahya Application of Ordinal Logistic Regression Model to Nutritional Status of the Under-Five Children Indexed by Weight-for-Height Journal of Biostatistics and Epidemiology Under-five; Statistical surveillance; Anthropometrics; Bilateral edema; Odd-ratio; Nutritional status; |
| title | Application of Ordinal Logistic Regression Model to Nutritional Status of the Under-Five Children Indexed by Weight-for-Height |
| title_full | Application of Ordinal Logistic Regression Model to Nutritional Status of the Under-Five Children Indexed by Weight-for-Height |
| title_fullStr | Application of Ordinal Logistic Regression Model to Nutritional Status of the Under-Five Children Indexed by Weight-for-Height |
| title_full_unstemmed | Application of Ordinal Logistic Regression Model to Nutritional Status of the Under-Five Children Indexed by Weight-for-Height |
| title_short | Application of Ordinal Logistic Regression Model to Nutritional Status of the Under-Five Children Indexed by Weight-for-Height |
| title_sort | application of ordinal logistic regression model to nutritional status of the under five children indexed by weight for height |
| topic | Under-five; Statistical surveillance; Anthropometrics; Bilateral edema; Odd-ratio; Nutritional status; |
| url | https://jbe.tums.ac.ir/index.php/jbe/article/view/308 |
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