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Table 3 Bivariate analyses of categorical variables

From: Analyzing the impact of an MDG-Fund program on childhood malnutrition in Timor-Leste

Height-for-age Z scores (HAZ)

Pr > F

Lowest Z-score

District

 < 0.0001

Bobonaro

Age of child

 < 0.0001

3

MVHI cat

 < 0.0001

Third quantile*

Month of birth

 < 0.0001

February*

BMI class

 < 0.0001

Underweight

Household size cat

 < 0.0001

6–10*

Wealth

 < 0.0001

Poorer

Agricultural land cat

0.0002

 >  = 3 ha*

Partner’s highest educational level

0.0006

No education

slope

0.0018

8–16%

soils

0.002848

Moderate

Mother’s highest educational level

0.0040

None

Partner’s occupation

0.0113

Agric-employee

Size of child at birth

0.0133

Smaller than average

Child’s anemia level

0.0330

Mild

Weight-for-age Z scores (WAZ)

  

Age of child

 < 0.0001

4

District

 < 0.0001

Oecusse

Month of birth

 < 0.0001

April*

BMI class

 < 0.0001

Underweight

Mother’s occupation

 < 0.0001

Skilled manual*

Wealth

 < 0.0001

Poorest

Mother’s highest educational level

 < 0.0001

None

Size of child at birth

 < 0.0001

Smaller than average

Partner’s highest educational level

 < 0.0001

No education

MVHI cat

 < 0.0001

Third quantile*

soils

0.0002

Moderate

Household size cat

0.0004

6–10

Partner’s occupation

0.0030

Agric. Employee*

Altitude cat

0.0059

 > 1200

Population density cat

0.0146

 > 500

Weight-for-height Z scores (WHZ)

  

District

 < 0.0001

Aileu

MVHI cat

 < 0.0001

Second quantile

Age of child

 < 0.0001

4

Respondent’s occupation

 < 0.0001

Skilled manual

Size of child at birth

 < 0.0001

Average

BMI class

 < 0.0001

Underweight

slope

0.0006

16–30%

Wealth

0.0016

Middle*

Agricultural land cat

0.0043

No land

Partner’s occupation

0.0055

Prof, Tech, Manag

Altitude cat

0.0055

800–1000*

Mother’s highest educational level

0.0139

Primary*

Partner’s highest educational level

0.0283

Higher*

Month of birth

0.0482

December*

  1. Based on data from 2009–2010. Categorical variables are sorted by p-value (lowest) and R-square (highest)
  2. *Statistically significant association with the overall variable, but not with the specific class