Steja715/Demographic-and-Health-data-analysis-of-Tanzania
Domaine:
healthcaresocioeconomicType de record:
dataset
Créateur:
Ste
Hôte:
Analysis of 2022 Tanzania demographic and Health survery (DHS) data using Rstudio
# Determinants of Childhood Malnutrition in Tanzania (DHS 2022)
> Using data from the **2022 Tanzania Demographic and Health Survey (TDHS)**, this study investigates the socio-economic drivers of childhood stunting, underweight, and wasting. The analysis applies **survey-weighted logistic regression** to identify vulnerable populations among children under five.
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## 📊 1. Key Findings: The Wealth Gradient
*The prevalence of malnutrition is starkly stratified by household wealth.*
Figure 1: Prevalence of Stunting (Green), Wasting (Red), and Underweight (Blue) by Wealth Index.
### 🧐 Epidemiological Insight
> **The Poverty Penalty:**
> * **Stunting:** Children from the **Poorest** households have a **37.3%** prevalence of stunting, compared to only **15.2%** in the Richest households.
> * **Gradient Effect:** There is a clear dose-response relationship; as wealth increases, malnutrition outcomes linearly decrease.
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## 🌍 2. Demographic Disparities (Urban vs. Rural)
*Comparing maternal education levels across residential settings.*
Figure 2: Distribution of Maternal Education by Residence (Urban vs. Rural).
> **Observation:**
> * **Educational Gap:** In rural areas (Teal), **25.9%** of mothers have no formal education, compared to only **8.3%** in urban areas.
> * **Impact:** Maternal education is a known protective factor against child malnutrition; this disparity likely contributes to the higher stunting rates observed in rural Tanzania (31.65%) vs. Urban (21.55%).
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## 📈 3. Multivariate Analysis (Adjusted Odds Ratios)
*Identifying significant risk factors while controlling for confounders.*
Table 1: Multivariable Logistic Regression Models for Stunting, Underweight, and Wasting (Adjusted Odds Ratios).
### 📝 Clinical Interpretation
The weighted logistic regression model reveals three critical determinants:
1. **Male Vulnerability:** Male children have significantly higher odds of all three malnutrition outcomes compared to females (* …
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