KnE Life Sciences | The 3rd International Meeting of Public Health and the 1st Young Scholar Symposium on Public Health | pages: 85–91


1. Introduction

Based on WHO data, 15 million babies are born preterm, and the rates are increasing in almost all countries [1]. Based on estimation in 2010, Indonesia occupies the fifth position of preterm birth rate in the world (15.5%). Prematurity is not just a problem of developing countries only; data showed that developed countries like America occupy the sixth position after Indonesia in preterm birth rate [2].

Prematurity is the second leading cause of death in toddlers after pneumonia and the leading cause of neonatal mortality [1]. The previous study in Cameroon showed that 36.6% of preterm babies died due to infections, asphyxia, and congenital malformation [3]. Preterm birth has a great influence on neonatal mortalities and chronic morbidities. Compared to term infants, preterm delivery has a higher risk of temperature instability, respiratory distress, infections, apnea, hypoglycemia, seizures, jaundice, kernicterus, feeding difficulties, necrotizing enterocolitis, and rehospitalizations [4].

Preterm birth involves multiple pathological processes, including infection/ inflammation, ischemia, uterine overdistension, cervical disease, endocrine disorder, and other means [5,6]. Further study showed that maternal race, low-socioeconomic status, maternal weight, smoking also affects preterm birth [7,8]

In Indonesia, the previous study reported that age of mothers, level of education, history of miscarriage, antenatal care, and (pre-)eclampsia are related to the risk of preterm birth [9,10]. This study aimed to identify several factors related to preterm delivery.

2. Methods

The cross-sectional study conducted in one government hospital and one private hospital in Jakarta. Data collected from medical records among women who were delivered in those hospitals from Jathe January 1st through December 31st, 2011.

Exclusion criteria from the study were patients with deliveries who referred to another hospital — the data extracted by using a structured questionnaire including subject characteristics, history of pregnancy, and distribution. The dependent variable of this study was preterm birth. Meanwhile, independent variables were mother's age, level of education, occupations, anemia, antenatal care, (pre-)eclampsia, and antepartum hemorrhage.

Preterm birth defined as babies born less than 37 weeks of gestation [11]. This term determined by professional health workers. Age of mother grouped into three category: 20-34 years, 17-20 years, and 35-46 years. Level of education categorized into three groups: high (completed senior high school or more), middle (completed junior high school), and low (uneducated up to completed primary school). Mother's occupation divided into five categories: unemployed/housewives, military/police/civil servants/state, private employees, entrepreneurs/traders, laborer.

Anemia was defined as hemoglobin levels less than 10.9 g/dl in pregnant women according to WHO which was grouped into yes and no (diagnosed by professional health workers) [12]. Antenatal care divided into three categories: regular (frequency four times during pregnancy), irregular (less than four times during pregnancy), and never.

Preeclampsia defined as a syndrome that occurs explicitly in pregnant women signed with hypertension with proteinuria that can affect virtually every organ system, whereas eclampsia is preeclampsia with convulsion without another cause [13]. (Pre-)eclampsia is divided into “yes” and “no” (diagnosed by professional health workers).

Antepartum hemorrhage defined as vaginal bleeding that occurs during the first half of pregnancy until delivery [13]. It is categorized into “yes” and “no' (diagnosed by professional health workers).

Several factors related to preterm birth identified by using Chi-square, univariate, multivariate logistic regression.

3. Results

Total samples for this study was 4191 subjects. Only 805 examples were eligible while the remains excluded due to incomplete data records and post-term birth.

Table 1 shows the prevalence of preterm birth among preterm birth and term birth was 12.9% (104/805). Mothers who did preterm birth and term birth similarly distributed to education level, anemia status, and antenatal care. Compared to the reference group, (pre-) eclampsia, and antepartum hemorrhage were more likely to had a higher risk of preterm birth.

Table 1

Several demographic factors and risk of preterm birth.


Variables Birth
Term Preterm Crude relative risk 95% Confidence interval p
(n=701) (n=104)
n % n %
Age groups
20-34 years 521 87.9 72 12.1 1.00 Reference
17-20 years 12 60.0 8 40.0 4.82 1.91-12.2 0.001
35-46 years 168 87.5 24 12.5 1.03 0.63-1.69 0.895
Level of education
High 560 87.4 81 12.6 1.00 Reference
Middle 86 89.6 10 10.4 1.63 0.40-1.61 0.538
Low 55 80.9 13 19.1 0.15 0.86-3.12 0.137
Occupations
Unemployed/housewives 446 84.5 82 15.5 1.00 Reference
Military/police/civil servants/state 51 98.1 1 1.9 0.11 0.02-0.78 0.028
Private employees 167 91.3 16 8.7 0.52 0.30-0.92 0.024
Entrepreneurs/traders 27 90.0 3 10.0 0.60 0.18-2.04 0.417
Laborer 10 83.3 2 16.7 1.09 0.23-5.06 0.914
Anemia
No 455 87.2 67 12.8 1.00 Reference
Yes 246 86.9 37 13.1 1.02 0.66-1.57 0.923
Antenatal care
Regular 560 88.7 71 11.3 1.00 Reference
Irregular 64 81.0 15 19.0 1.85 1.00-3.41 0.050
Never 77 81.1 18 18.9 1.84 1.04-3.26 0.035
(Pre-)eclampsia
No 637 89.3 76 10.7 1.00 Reference
Yes 64 69.6 28 30.4 3.67 2.22-6.07 0.0005
Antepartum hemorrhage
No 697 87.8 97 12.2 1.00 Reference
Yes 4 36.4 7 63.6 12.58 3.62-43.75 0.0005

Table 2 shows that compared to women in 20-34 years age group, a young mother with aged 17-20 years old had 3.37 fold higher chance to have preterm birth [adjusted odds ratio (ORa)=3.37; p=0.018]. Meanwhile, mothers with (pre-)eclampsia had 3.76 fold higher chance to have a preterm birth (ORa=3.76; p=0.0005). Furthermore, women with antepartum hemorrhage had a higher chance to have a preterm birth (ORa=12.52; p= 0.0005). Otherwise, the risk of mother's occupation was not statistically different among each group.

Table 2

Dominant factors related to preterm birth.


Variables Birth 95% Confidence interval
Term Preterm Adjusted Odds ratio p
(n=701) (n=104)
n % n %
Age groups
20-34 years 521 87.9 72 12.1 Reference Reference
17-20 years 12 60.0 8 40.0 3.37 1.23-9.25 0.018
35-46 years 168 87.5 24 12.5 1.00 0.60-1.68 0.996
Occupations
Unemployed/housewives 446 84.5 82 15.5 Reference Reference
Military/police/civil servants/state 51 98.1 1 1.9 0.14 0.02-1.05 0.055
Private employees 167 91.3 16 8.7 0.61 0.34-1.10 0.100
Entrepreneurs/traders 27 90.0 3 10.0 0.72 0.21-2.47 0.599
Laborer 10 83.3 2 16.7 0.74 0.14-3.91 0.723
(Pre-)eclampsia
No 637 89.3 76 10.7 Reference Reference
Yes 64 69.6 28 30.4 3.76 2.24-6.31 0.0005
Antepartum hemorrhage
No 697 87.8 97 12.2 Reference Reference
Yes 4 36.4 7 63.6 12.52 3.43-45.71 0.0005

4. Discussion

This study has several limitations that should consider. The data was a retrospective data derived from medical records from two hospitals in Jakarta that may raise potential biases and error. The result cannot be applied generally in population.

This study found that the prevalence of preterm birth was 12.9%. These findings were lower than previous research stating that the incidence of preterm delivery in Indonesia was 36.4% [9]. Nevertheless, this prevalence is higher than the study in Iran which found 5.1% [14]. Variation in results could influence by different methodologies, sample size, and the setting where the study took place.

The etiology and pathophysiology of preterm birth are still incompletely understood. Preterm birth is not a single pathological process but a result of multifactorial etiologies, such as gestational age, ethnicity, and characteristics for each population [15].

In the present study, we found that young mother had a three-fold higher risk of preterm birth. This finding was also similar with another previous study in Thailand which revealed that young mother aged < 20 years had 2 -3 fold higher risk of preterm birth than mother aged 20-34 years [16,17]. Briggs et al. also showed that young mothers were more likely to have a preterm delivery [18]. A young mother has a higher risk of anemia, preterm birth, and pregnancy-induced hypertension [19]. Several studies reported that preterm birth is more common in young mother that also associated with a low socioeconomic status which also related to inadequate antenatal care [20,21]. Although adequacy of prenatal care in this study assessed, after adjusted with another factor, it seems not statistically significant to preterm birth. The difference is probably due to this study consist of a young mother with a higher prevalence of antepartum hemorrhage.

In this study, the risk of the mother's occupation was not statistically different among each group. Otherwise, another study showed that pregnant women workers had a 20 to 60 percent higher rates of preterm birth and fivefold risk of preeclampsia. Fatigue work increased the risk of preterm premature membrane rupture [13]. The difference was probably due to this study consisting of young mothers with a higher prevalence of antepartum hemorrhage.

In the US, hemorrhage, preeclampsia, and infection is the leading causes of death in pregnancy [13]. Our study showed that mothers with (pre-)eclampsia had 3.76 fold higher risk of preterm birth. Similarly, Ananth et al. in Canada indicated that women with severe preeclampsia had eightfold higher chance and study in Iran also demonstrated a 3.6 fold higher likelihood of preterm birth [14,22]. Preeclampsia is a complex and multifactorial disorder that causes preterm delivery and uteroplacental insufficiency which induce impaired blood flow to the fetus [23]. Oligohydramnios that cause maternal complications such as preeclampsia increase the risk of preterm birth 3-10 times [13,24]

Antenatal hemorrhage increased the odds of preterm labor. The previous study in Thailand also identified that antenatal hemorrhage increased the risk of preterm birth two-fold higher [25]. Vaginal bleeding induced preterm delivery due to fetal or maternal emergencies [14].

5. Conclusions

In conclusion, young mothers, mothers with (pre-)eclampsia, and mothers with antepartum hemorrhage had a higher risk to have a preterm birth. WHO has made many strategies to prevent preterm delivery such as family planning, increased empowerment of women, and quality improvement in pregnancy care [1]. Further research efforts in strategy innovation are needed to prevent preterm birth and to save premature babies.

Acknowledgment

The authors wish to thank the Board of Health Research and Development, Ministry of Health, the Republic of Indonesia for data support.

Ethical Approval

Ethical approval obtained from the National Institute for Health Research and Development Ethics Committee, Ministry of Health, Republic of Indonesia.

Competing Interest

The author declares that there is no conflict of interest.

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