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PRETERM AND ITS RISK FACTORS AT DONG ANH DISTRICT, HANOI, 2014-2015

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(1)

PRETERM AND ITS RISK FACTORS AT DONG ANH DISTRICT, HANOI, 2014-2015

Ngô Toàn Anh

(2)

BACKGROUND

• Preterms were newborns delivered under 37 week of gestation and could lead to long term consequences affect the mental and physical development.

• Estimated 9.6% of newborns all around the world was preterms in 2005 (equal to 12.9 millions)

• To evaluate preterm risk factors could help

increasing population quality.

(3)

OBJECTIVES

• To describe the rate of preterm and to

determine its risk factors in Dong Anh

district, Hanoi in 2014-2015.

(4)

METHODOLOGY

• This study was conducting in 1285 pregnant women and then delivered at health facilities in Dong Anh district.

• Study design: longitudinal follow-up study.

(5)

METHODOLOGY

Statistic analysis:

• Raw statistics were managed and analysed in SPSS 16.0

• Post analysed statistics were demonstrated in cross table and in numbers and percentage.

• Test χ

2

and p value were used to indicate the correlation between dependent and independent variables.

• Relative risk (RR) and 95% CI were employed to

evaluate the relationship risk factors and

preterms.

(6)

RESULTS AND DISCUSSION

Table 1: Mother's personal characteristics

Socio-demographic factors Number Percentage (%) Age

<20 20-29 30-39 40-49

24 897 349 15

1.9 69.8 27.2 1.2 Education level

Primary school Secondary school High school

University

24 229 473 559

1.9

17.8

36.8

43.5

(7)

RESULTS AND DISCUSSION

Table 1: Mother's personal characteristics (cont.)

Occupation

Government employee Private employee

Worker Farmer

Small trade Others

209 206 349 168 183 170

16.3 16.0 27.2 13.1 14.2 13.2 Family economy status

Poor

Nearly poor Uncategorized

29 910 341

2.3

70.8

26.9

(8)

RESULTS AND DISCUSSION

Table 2: Reproductive health status

Reproductive health status n %

Previous preterm Yes

No

31 1254

2.4 97.6 Previous low birth weight

Yes No

25 1260

1.9 98,1 Physical health status during pregnancy

Excellence Good

Normal Poor

160 864 256 5

12.5 67.2 19.9 0.4

(9)

RESULTS AND DISCUSSION

Table 2: Reproductive health status (cont.)

Reproductive health status Number Percentage (%) Mental health during pregnancy

Excellence Good

Normal

407 679 199

31.7 52.8 15.5 Emotional violation during pregnancy

Yes No

723 562

56.3 43.7 Physical violation during pregnancy

Yes No

157 1128

12.2 87.8 Sexual violation during pregnancy

Yes No

156 1129

12.1 87.9 Antenatal depression during pregnancy

Yes No

64 1216

5.0 95.0

(10)

RESULTS AND DISCUSSION

Figure 1: The rate of preterm and level of preterm

94.4%

4.4%

5.6% 1.2%

Sinh đủ tháng Sinh non

Sinh rất non

(11)

RESULTS AND DISCUSSION

Table 3: The relationship between preterm and risk factors

Risk factors Preterm

(%)

Non- preterm

(%)

Bivariate analysis RR (95% CI)

Multivariate analysis RR (95% CI) Age (years)

Over 25 Under 25

41 (4.9) 34 (7.6)

797 (95.1) 413 (92.4)

1

1.6 (1.00-2.41)

1

1.6 (0.99-2.67) Education level (years)

10-12 1-9

60 (5.8) 15 (5.9)

972 (94.2) 238 (94.1)

1

1 (0.59-1.77)

1

1.1 (0.55-1.92) Occupation

Others Farmer

56 (5.2) 17 (10.1)

1017 (94.8) 151 (89.9)

1

1.9 (1.16-3.25)

1

1.9 (1.03-3.51)

(12)

RESULTS AND DISCUSSION

Risk factors Preterm

(%)

Non- preterm

(%)

Bivariate analysis RR (95% CI)

Multivariate analysis RR (95% CI) Household economic

Poor

Non-poor

0 75 (6.0)

29 (100) 1176 (94.0)

NA NA

Mental health status Good

Normal and poor

59 (5.4) 16 (8.1)

1027 (94.6) 182 (91.9)

1

1.5 (0.87-2.53)

1

1.0 (0.45-2.18) Physical health status

Good

Normal and poor

53 (5.2) 22 (8.5)

971 (94.8) 238 (91.5)

1

1.6 (1.01-2.64)

1

1.6 (0.78-3.17) Table 3: The relationship between preterm and risk factors (cont.)

(13)

RESULTS AND DISCUSSION

Risk factors Preterm

(%)

Non- preterm

(%)

Bivariate analysis RR (95% CI)

Multivariate analysis RR (95% CI) Previous preterm

No Yes *

72 (5.8) 3 (8.8)

1179 (94.2) 31 (91.2)

1

1.5 (0.51-4.62)

1

1.6 (0.39-6.37) Emotional violation

No Yes

39 (6.9) 36 (5.0)

523 (93.1) 687 (95.0)

1

0.7 (0.46-1.11)

1

2.1 (1.38-6.58) Physical violation

No Yes

61 (5.4) 14 (8.9)

1067 (94.6) 143 (91.1)

1

1.6 (0.95-2.87)

1

1.6 (0.75-3.38) Table 3: The relationship between preterm and risk factors (cont.)

(14)

RESULTS AND DISCUSSION

Risk factors Preterm

(%)

Non- preterm

(%)

Bivariate analysis RR (95% CI)

Multivariate analysis RR (95% CI) Sexual violation

No Yes

62 (5.5) 13 (8.3)

1067 (94.5) 143 (88.2)

1

1.5 (0.85-2.69)

1

1.6 (0.79-3.25) Antenatal depression

No Yes

65 (5.3) 10 (15.5)

1151 (94.7) 54 (84.5)

1

2.9 (1.58-5.41)

1

3.0 (1.38-6.58) Table 3: The relationship between preterm and risk factors (cont.)

(15)

RESULTS AND RECOMMENDATIONS

Preterm is still major public health problem in Vietnam.

Antenatal depression, violence during pregnancy and occupation are predictors of preterm birth.

Screening the antenatal depression, partner emotional

violence and their interventions may help improve birth

outcomes.

(16)

THANK YOU FOR YOUR ATTENTION!

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