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Table 3 Bivariate and multivariate analyses of the factors associated with Hb levels in the participants

From: Comparative analysis of trends and determinants of anaemia between adult and teenage pregnant women in two rural districts of Ghana

Effect

 

Value

F

Hypothesis df

Error df

Sig.

Factor

Pillai’s Trace

0.001

.112b

1

197

0.738

Factor * BMI

Pillai’s Trace

0.001

.111b

1

197

0.74

Factor * District

Pillai’s Trace

0.019

3.715b

1

197

0.055

Factor * Gestational age

Pillai’s Trace

0.024

4.910b

1

197

0.028

Factor * Age group

Pillai’s Trace

0.002

.319b

1

197

0.573

Factor * Year

Pillai’s Trace

0.013

.670b

4

197

0.613

Factor * Sickling status

Pillai’s Trace

0

.025b

1

197

0.874

Factor * Age group

Pillai’s Trace

0.033

1.695b

4

197

0.153

Factor * Age group * Sickling status

Pillai’s Trace

0

.b

0

0

.

Factor * Year * Sickling status

Pillai’s Trace

0.012

.580b

4

197

0.678

Factor * Age group * Year * Sickling status

Pillai’s Trace

0

.b

0

0

.

  1. The association between multiple factors (BMI, district, gestational age, age group, year, sickling status, age group and year, age group and sickling status, year and sickling status, age group and year and sickling status) and the Hb levels of subjects (factor) was tested by bivariate and multivariate models. Gestational age alone was found to be significantly associated with the Hb levels of subjects (pregnant women of all age groups). BMI- body mass index; Hb- haemoglobin