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Table 3 Fixed and random effect of the model to assess the relationship between women’s empowerment and child growth faltering in Ethiopia, 2016 EDHS

From: Women’s empowerment and child growth faltering in Ethiopia: evidence from the Demographic and Health Survey

Domains of women’s empowerment

Growth faltering indicators (child nutritional status)

Stunting (n = 8076)

Wasting (n = 8142)

Underweight (n = 8241)

Crude odds ratio

P value

Crude odds ratio

P value

Crude odds ratio

P value

Attitude to violence

0.85 (0.71, 0.88)

 < 0.001

0.91 (0.86, 0.97)

0.004

0.84 (0.80, 0.88)

 < 0.001

Social independence

0.81 (0.78, 0.86)

 < 0.001

0.86 (0.81, 0.93)

 < 0.001

0.77 (0.73, 0.81)

 < 0.001

Decision-making

0.86 (0.81, 0.91)

 < 0.001

0.95 (0.87, 1.03)

0.213

0.82 (0.77, 0.88)

 < 0.001

 

Adjusted odds ratio

P value

Adjusted odds ratio

P value

Adjusted odds ratio

P value

 

1Multivariable logistic regression without random effectR

Attitude to violence

0.92 (0.88, 0.96)

 < 0.001

0.96 (0.90, 1.03)

0.333

0.93 (0.89, 0.98)

0.008

Social independence

0.95 (0.89, 0.99)

0.049

0.95 (0.88, 1.03)

0.494

0.91 (0.86, 0.97)

0.002

Decision-making

0.93 (0.87, 0.99)

0.023

1.03 (0.95, 1.13)

0.246

0.92 (0.86, 0.99)

0.020

 

2Multivariable logistic regression with cluster-level random effectR

Attitude to violence

0.91 (0.87, 0.96)

 < 0.001

0.97 (0.90, 1.04)

0.371

0.93 (0.89, 0.99)

0.015

Social independence

0.96 (0.90, 1.01)

0.138

0.96 (0.88, 1.04)

0.299

0.92 (0.86, 0.99)

0.017

Decision-making

0.94 (0.88, 1.01)

0.088

1.01 (0.92, 1.11)

0.782

0.92 (0.85, 0.98)

0.017

  1. RAdjusted for child-related factors (sex, age, acute respiratory infection, diarrhoea, and birth interval), maternal factors (body max index, stature (height), and smoking status), household and environmental-related factors (source of drinking water, sanitation facility, type of cooking fuel, wealth index, and location of the cluster), and to one another
  2. 1Model without random effect, but used CI that accounted for the highest level of clustering (e.g. survey cluster)
  3. 2Model with cluster-level (primary sampling point) random effect