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МОНГОЛЫН ХҮН АМЫН СЭТГҮҮЛ Дугаар (367) 20, 2011

57

DATA SOURCE AND METHODS

This study used a secondary data of

‘Reproductive Health Survey 2008 (RHS)’ by

National Statistical Office of Mongolia. In the

RHS, 9,402 women of 15-49 years old and

3,362 husbands were interviewed. Under this

study, 3,924 children who were born in the five

years prior to the survey were analyzed. There

were 51 cases of under-five child mortality

among the selected children for the study.

Bivariate analysis was employed to explore

relationships between socio-demographic,

child, household environmental and health care

service factors affecting and child mortality

using crosstabulation with Pearson’s chi-

square test. Binary logistic regression was used

to determine odds of independent variables

to affect child mortality. STATA 10.0 and

SPSS 11.5 statistical software packages were

employed to analyze the data of the study.

RESULTS OF THE STUDY

Bivariate analysis

From below Table 1, it can be seen that the

mother’s age had statistically significant

relationship with child mortality (p≤0.05).

Mothers whose age were less than 20 tended to

experience child mortality more than two times

higher than the mothers whose age were 20-29,

and more than 4 times than the mothers whose

age were 30 years old and more.

Child ever breastfed had the strongest

statistically significant relationship with child

survival. There was only 3 per cent of children

who never breastfed, but 18 per cent of the

total children who never breastfed experienced

child mortality (p≤0.001).

Birth order of the child had statistically

significant relationship with child mortality

(p≤0.05). Children born in the order one or four

and higher experienced death by 0.78 per cent

more than children born in the order two or three.

Table 1:

Crosstabulation between child mortality and selected characteristics

Characteristics

Child Mortality

Total

Chi-square

No

Yes %

N

Place of residence

4.04

Ulaanbaatar

98.93

1.07

100.00

1,309

East

99.14

0.86

100.00

347

West

98.05

1.95

100.00

870

South

98.71

1.29

100.00

233

Central

98.80

1.20

100.00

1,165

Mother’s age

10.66*

<20 years

96.48 3.52

100.00

142

20-29 years

98.38 1.62

100.00

1,909

30+ years

99.20

0.80

100.00

1,873

Mother’s education

0.83

Uncompleted secondary

98.51 1.49

100.00

1,143

Complete secondary

98.64 1.36

100.00

1,401

Tertiary

98.91

1.09

100.00

1,380

Monthly income per person (

)

3.74

<102,535

98.51

1.49

100.00

3,017

≥102,535

99.34 0.66

100.00

907

Ever breastfed

256.68***

No

81.48

18.52

100.00

108

Yes

99.19

0.81

100.00

3,816

Birth order

4.63*

1 & 4+

98.29

1.71

100.00

1,875

2 - 3

99.07

0.93

100.00

2,049

Child’s gender

4.28*

Male

98.34

1.66

100.00

2,045

Female

99.10

0.90

100.00

1,879

Child’s weight

19.95***

<2,500 gm

95.03

4.97

100.00

181

≥2,500 gm

98.88

1.12

100.00

3,743

Source of drinking water

11.04**

Central/local piped

99.23

0.77

100.00

780

Well

98.88

1.12

100.00

2,493

Spring/mineral/rain/snow/river

97.39

2.61

100.00

651

Sanitation facility

1.07

Non-standard

98.60

1.40

100.00

2,991

Standard

99.04

0.96

100.00

933

Iron pill intake

0.18

<90 pills

98.66

1.34

100.00

3,058

≥ 90 pills

98.85

1.15

100.00

866

ANC visit *

6.26*

<4 visits

97.18

2.82

100.00

319

≥4 visits

98.83

1.17

100.00

3,605

Total

3,924

Note:

***

p≤0.001, **p≤0.01, *p≤0.05