Factors associated with preterm birth in Southern Ethiopia: Case-Control Study

doi:10.21203/rs.3.rs-72728/v1

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Research article

Factors associated with preterm birth in Southern Ethiopia: Case-Control Study

https://doi.org/10.21203/rs.3.rs-72728/v1

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published 07 Jan, 2021

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Background

Preterm birth is defined as one born alive before 37 weeks of pregnancy is completed. Worldwide, prematurity is the second foremost cause of death in children under the age of 5 years. Preterm birth also gives rise to short and long term complications. Therefore, the primary aim of this study was to identify the factors associated with preterm birth in Wachemo University Nigest Eleni Mohammed Memorial referral hospital, Hadiya Zone, Southern Ethiopia.

Methods

An institution-based unmatched case-control study was conducted from July 01, 2018 to June 30, 2019, among mothers who gave birth in Wachemo University Nigest Eleni Mohammed Memorial referral hospital. Simple random sampling technique was employed to approach study participants. SPSS version 20 software was used for data entry and computing statistical analysis. Both bivariable and multivariable logistic regression analyses were used to determine the association of each independent variable with the dependent variable. Odds ratio with their 95% confidence intervals was computed to identify the presence and strength of association, and statistical significance was affirmed if p < 0.05.

Result

The current study evaluated 213 medical records of mothers with index neonates (71 cases and 142 controls). Urban residency [AOR = 0.48; 95% Cl; 0.239, 0.962], ANC follow up [AOR = 0.08; 95 Cl; 0.008, 0.694], premature rupture of membranes [AOR = 3.78; 95% Cl; 1.467, 9.749], pregnancy induced hypertension [AOR = 3.77; 95% Cl; 1.408, 10.147], multiple pregnancies [AOR = 5.53; 95% Cl; 2.467, 12.412] were the factors associated with preterm birth. In the present study, more than one-third (36.6%) of preterm neonates have died.

Conclusions

The present study found that urban residency, ANC follow up, premature rupture of membranes, pregnancy induced hypertension and multiple pregnancies were factors associated with preterm birth. The mortality among preterm neonates is high. Enhancing ANC follow up and early detection and treatment of disorders among pregnant women during ANC and undertaking every effort to improve outcomes of preterm birth and reduce neonatal mortality associated with prematurity is decisive.

Maternal & Fetal Medicine

Associated factors

Preterm birth

Southern Ethiopia

The World Health Organization (WHO) defines premature baby as one born alive before 37 weeks of pregnancy are ended. Annually, an estimated 15 million babies are born preterm and this figure is increasing [1]. Globally, an anticipated 6 million children under the age of five died. Of these, about 2.6 million died within the first month of being born and more than 60% of these deaths occurred in Africa and South Asia. Just over a third of these babies died as a result of complications related with prematurity [2].

In 2014, 10.6% (9.0–12.0) was the anticipated worldwide preterm birth rate, making a projected 14.84 million alive premature babies (12.65 million–16.73 million). Of these, 12 million (8.1%) preterm births took place in Asia and sub-Saharan Africa. In the sub-Saharan Africa the estimated preterm birth rate was 12.0 making the proportion of preterm birth 28.2% [3].

Preterm birth gives rise to short and long term adverse outcomes. Adverse outcomes of prematurity are responsible for 35% of worldwide neonatal deaths, and the second top cause of under-5 deaths following pneumonia. The long term severe health consequences include loss of sight, hearing impairment, cerebral palsy, and developmental difficulties, comprising cognitive, sensory, learning and language deficits [4, 5].

Preterm birth is imposes a substantial expenses to government, and moreover parents frequently face extensive emotional and economical sufferings. Though the risks of death and severe morbidity are much greater in early gestation (< 34 weeks), preterm babies born at late gestation (34–37 weeks) have considerably increased risk of complications than babies born at term [6].

Disparities in survival rates of premature babies are observed across the globe. Half percentage of babies born at 24 weeks stay alive in high-income countries, whereas in low income settings, half percentage of babies born at 32 weeks continue to die due to absence of feasible and cost-effective care [7].

In 2016, the neonatal mortality rate (NMR) was 28 deaths per 1,000 live births in Ethiopia. The neonatal mortality rate varies in rural and urban areas; 43 deaths per 1,000 live births and 41 deaths per 1,000 live births in rural and urban areas respectively. In 2015, the three top causes of neonatal mortality in the country were birth asphyxia (31.6 percent), prematurity (21.8 percent) and sepsis (18.5 percent) respectively [8].

Identifying the risk factors of preterm birth is essential for molding services and initiation of risk specific interventions and preventive measures. Therefore, the aim of this study was to identify factors associated with preterm birth among women who gave birth in Nigest Eleni Mohammed Memorial referral hospital.

An institution-based unmatched case-control study was conducted from July 01, 2018 to June 30, 2019 among mothers who gave birth in Wachemo University Nigest Eleni Mohammed Memorial referral hospital. A retrospective one-year data was retrieved from medical records of mothers with their index neonates.

The source population incorporated all mothers with their index neonates who gave birth in Wachemo University Nigest Eleni Mohammed Memorial referral hospital during the study period. The study population encompassed selected mothers with their index neonates who gave birth in Wachemo University Nigest Eleni Mohammed Memorial referral hospital during the study period.

Cases were mothers with index neonates who gave birth between 28 0/7 weeks and 36 6/7 weeks in Wachemo University Nigest Eleni Mohammed Memorial referral hospital during the study period, and controls mothers with index neonates who gave birth between (37 0/7 weeks- 41 6/7 weeks) in Wachemo University Nigest Eleni Mohammed Memorial referral hospital during the study period.

The sample size was calculated using open Epi Version 2.3.1 statistical software by considering the following assumptions: proportion of multiple pregnancy among the controls which is 34% and adjusted odds ratio of multiple pregnancy among the controls which is 2.50 [9], 95% Cl, 80% power of the study, control to case ratio of 2:1. Finally, after adding 10% for incomplete medical records, the total sample size was estimated to be 213 (71 cases and 142).

Medical records of mothers with preterm delivery with index preterm neonates (28 0/7 weeks- 36 6/7 weeks) who meet the inclusion criteria were recruited using simple random sampling technique as cases where as medical records mothers with term delivery with index term neonates (37 0/7 weeks- 41 6/7 weeks) following cases and who met the inclusion criteria were selected using simple random sampling technique as controls. Both cases and controls were identified by charts and admission log books.

Data was extracted by reviewing medical records of mothers with their index neonates using a pre-tested, structured checklist. The checklist was developed from different related studies after necessary modifications made [9, 10, 11]. The validity and reliability of the instrument was assured using pears correlation and Cronbach’s alpha co-efficient test respectively. Data were collected on socio-demographic data, reproductive characteristics, obstetrics and medical complications, neonatal characteristics. Data was collected by 3 midwives. The quality of data was assured by applying properly designed and pre-tested checklist. In addition, training was given to data collectors and supervisor. Data collectors were closely followed by the supervisor and principal investigator daily to ensure completeness of the checklist. The checklist was pre-tested on 5% (4 cases & 8 controls) in Durame general hospital and necessary modification was made by adding variables like non-reassuring fetal heart rate pattern and weight for gestational age and others.

Data Analysis

The collected questionnaire was checked manually for its completeness; and coded and entered in to Epi-data 3.1 and analyzed using SPSS version 20.0. Descriptive statistics was computed. Both bivariate and multivariate logistic regression analysis will be used to determine the association of each independent variable with the dependent variable. Initially, variables with p < 0.30 at bivariate logistic regression were taken in to multiple variable logistic regression model. During multivariable logistic regression backward elimination technique was employed. Odds ratio with their 95% confidence intervals were calculated and statistical significance was affirmed if p < 0.05. Hosmer-Lemeshow statistic had a significance of 0.944 indicating that the model is fit. Multi-collinearity was checked for interaction between independent variables through VIF (Variance inflation factor) which showed a value of less than 5.

Maternal demographic characteristics

In this study, a total of 213 (100%) medical records of mothers with their index neonates (71 cases and 142 controls) were reviewed. Among cases, median maternal age was 28 years (IQR 26, 36) whereas median maternal age among controls was 28 years (IQR 25, 30). Almost half (49.3%) of cases resided in rural area and one hundred three (72.5%) controls resided in an urban setting.

Obstetrics characteristics

Median gestational age among cases was 33.0 weeks (IQR 31.6, 34.1) whereas median gestational age among control was 38 weeks (IQR 36.3, 39.0). Among cases, the median parity was 2 (IQR 1, 4) while median parity among controls was 1 (IQR 1, 3). Five (7.1%) cases had history of abortion and four (2.8%) controls had history of abortion. Four (5.6%) case had history of preterm birth while only one control had history of preterm birth. Eight (11.3%) cases had no antenatal care follow-up as only one control had no antenatal care follow-up.

Regarding frequency of antenatal care, 54 (84.7%) cases had four and more antenatal care visits whereas 128 (90.8%) controls had four and more antenatal care visits. Four (5.6%) cases had history of stillbirth while three (2.1%) controls had history of stillbirth. Sixty seven (94.4%) cases had spontaneous onset of labour where as one hundred thirty seven (96.5%) controls had spontaneous onset of labour. Sixty five (91.5%) and Six (8.5%) cases gave birth through spontaneous vaginal delivery and cesarean section respectively. One hundred fourteen (80.3%), twenty (14.1%) and eight (5.6%) controls gave birth through cesarean section, spontaneous vaginal delivery and instrumental delivery (Table 1).

Table 1

Obstetrics characteristics of mothers who gave birth in Wachemo University Nigest Eleni Mohammed Memorial referral hospital, 2019 (n = 213).
Variable	Category	Cases n = 71 (%)	Controls n = 142 (%)	Total n = 213 (%)
Parity	1–2	42 (59.2)	92 (64.8)	134 (62.9)
	3–4	15 (21.1)	29 (20.4)	44 (20.7)
	>=5	14 (19.7)	21 (14.8)	35 (16.4
History of abortion	Yes	5 (7.1%)	4 (2.8)	9 (4.2)
History of abortion	No	66 (92.9)	138 (97.2)	204 (95.8%)
History of preterm birth	Yes	4 (5.6)	1 (0.7)	5 (2.3)
History of preterm birth	No	67 (94.4)	141 (99.3)	198 (97.6)
History of stillbirth	Yes	4 (5.6)	3 (2.1)	6 (3.3)
History of stillbirth	No	67 (94.4)	139 (97.8)	195 (96.7)
Antenatal care	Yes	63 (88.7)	141 (99.3)	192 (95.5)
Antenatal care	No	8 (11.3)	1 (0.7)	9 (4.5)
Frequency of antenatal care	1	2 (3.2)	1 (0.7)	3 (1.4)
	2–3	7 (11.1)	12 (8.5)	19 (8.9)
	> 4	54 (85.7)	128 (90.8)	182 (85.4)
Labour	Spontaneous	67 (94.4)	137 (96.5)	204 (95.8)
Labour	Induced	4 (5.6)	5 (3.5)	9 (4.2)
Mode of delivery	Spontaneous vaginal delivery	65 (91.5)	114 (80. 3)	179 (84.1)
	Caesarian section	6 (8.5)	20 (14.1)	26 (12.2)
	Instrumental	-	8 (5.6)	8 (3.8)

Maternal Medical complications

Three (4.2%) cases and only one control had cardiac disease. Four (5.6%) cases and two (1.4%) controls had hypertension. Two (2.8%) and three (2.1%) cases and controls had urinary tract infection respectively. Three (4.2%) cases and two (1.4%) controls had diabetes mellitus. Six (8.5%) and three (2.1%) cases and controls had anemia respectively. None of the cases and controls had human immune deficiency virus (HIV) infection, sexually transmitted infection, pyelonephritis and malaria.

Obstetrics complications

Two (2.8%) cases and one control had antepartum hemorrhage respectively. Sixteen (22.5%) cases had pregnancy induced hypertension while nine (6.3%) control had pregnancy induced hypertension. More than one-fourth, 20 (28.2%) of cases had premature rupture of membranes and ten (9.0%) controls had premature rupture of membranes. Two (2.8%) cases had polyhydramnios whereas only one control had polyhydramnios. Twenty six (36.6%) cases had multiple pregnancies while fourteen (9.9%) controls had multiple pregnancies. Nine cases (12.7) and five (3.5%) controls had non-reassuring fetal heart rate pattern (Table 2).

Table 2

Obstetrics complications among mothers who gave birth in Wachemo University Nigest Eleni Mohammed Memorial referral hospital, 2019 (n = 213).
Variable	Category	Case n = 71 (%)	Controls n = 142 (%)	Total n = 213 (%)
Antepartum hemorrhage	Yes	2 (2.8)	1 (0.7)	3 (1.4)
Antepartum hemorrhage	No	69 (97.2)	141 (99.3)	210 (98.6)
Pregnancy induced hypertension	Yes	16 (22.5)	9 (6. 3)	25 (11.7)
Pregnancy induced hypertension	No	55 (77.5)	133 (93.7)	188 (88. 3)
Premature rupture of membranes	Yes	20 (28.2)	10 (9.0)	31 (14.1)
Premature rupture of membranes	No	51 (71.8)	132 (91.0)	170 (85.9)
Polyhydramnios	Yes	2 (2.8)	1 (0.7)	3 (1.4)
Polyhydramnios	No	69 (97.2)	141 (99.3)	210 (98.6)
Multiple pregnancy	Yes	26 (36.6)	14 (9.9)	40 (18.8)
Multiple pregnancy	No	45 (63.4)	128 (90.9)	173 (81.2)
Non-reassuring fetal heart rate pattern	Yes	9 (12.7)	5 (3.5)	14 (6.6)
Non-reassuring fetal heart rate pattern	No	62 (87. 3)	137 (96.5)	199 (93.4)

Neonatal characteristics

Three (4.2%), twenty one (29.6%), forty three (60.6%) and four (5.6%) cases had extremely low birth weight, very low birth weight, low birth weight and normal birth weight respectively. One, thirty (21.1%) and one hundred eleven (78.2%) controls had very low birth weight, low birth weight and normal birth weight respectively. None of the controls had extremely low birth weight (no table).

Almost half of the cases, 35 (49.3%) were males and slightly more than half of the controls, 76 (53.5%) were males. Among cases; fifty six (78.9), fourteen (19.4%) and only one were appropriate for gestational age (AGA), small for gestational age (SGA) and large for gestational age (LGA) respectively. Among controls; 133 (93.7%), 6 (4.2%) and 3 (2.1%) were AGA, SGA and LGA respectively. Only one case and one control had congenital anomaly. The type of congenital anomaly was esophageal atresia and club foot; and cleft lip and palate with club foot in the case and control respectively (Table 3).

Table 3

Neonatal characteristics in Wachemo University Nigest Eleni Mohammed Memorial referral hospital, 2019 (n = 213).
Variable	Category	Cases n = 67 (%)	Controls n = 134 (%)	Total n = 201 (%)
Sex of the neonate	Female	36 (50.7)	66 (46.5)	102 (47.9)
Sex of the neonate	Male	35 (49.3)	76 (53.5)	104 (52.1)
Weight for gestational age	Appropriate for gestational age	56 (78.9)	133 (93.7)	189 (88.7)
	Small for gestational age	14 (19.4)	6 (4.2)	20 (9.4)
	Large for gestational age	1 (1.4)	3 (2.1)	4 (1.9)
Congenital abnormality	Yes	1 (1.4)	1 (0.7)	2 (0.9)
Congenital abnormality	No	70 (98.6)	141 (99.3)	211(99.1)

Neonatal outcomes

More than one-third of cases, 26 (36.6%) were died where as forty five (63.4%) cases were survived. Five (3.5%) and one hundred thirty seven (96.5%) controls were died and survived respectively (Fig. 1).

Among cases, the major possible cause of death, 20 (74.1%) was respiratory failure whereas cardio-respiratory failure 2 (0.4%) and asphyxia 2 (0.4%) were the major possible causes of death among controls (No Fig).

Factors associated with preterm birth

In bivariable analysis; parity, residency, history of abortion, history of preterm birth, history of stillbirth, urinary tract infection, diabetes mellitus, anemia, ANC follow up, labour, APH, PROM, pregnancy induced hypertension, polyhydramnios and multiple pregnancy were significant at p-value < 0.30.

But in the multivariable logistic regression analysis; urban residency, ANC follow up, premature rupture of membranes, pregnancy induced hypertension and multiple pregnancy were significantly associated with preterm birth at p-value less < 0.05 (Table 4).

Table 4

Factors associated with preterm birth among mothers who gave birth in Wachemo University Nigest Eleni Mohammed Memorial referral hospital, 2019 (n = 213).
Variable	Category	Cases n (%)	Controls n (%)	COR (95% Cl)	AOR (95% Cl)
Parity	1–2	42 (59.2)	92 (64.8)	0.69(0.318, 1.477)*	0.89 (0.348, 2.252)
	3–4	15 (21.1)	29 (20.4)	0.78(0.309, 1.946)	0.76(0.248, 2.342)
	>=5	14 (19.7)	21 (14.8)	1	1
Residency	Urban	36 (50.7)	103 (72.5)	0.39(0.215, 0.705)*	0.48 (0.239, 0.962)**
Residency	Rural	35 (49.3)	39 (27.5)	1	1
History of abortion	Yes	5 (7.1%)	4 (2.8)	2.61 (0.680, 10.053)*	2.10(0.434, 10.168)
History of abortion	No	66 (92.9)	138 (97.2)	1	1
History of preterm birth	Yes	4 (5.6)	1 (0.7)	8.42 (0.923, 76.775)*	7.93 (0.717, 87.776)
History of preterm birth	No	67 (94.4)	141 (99.3)	1	1
History of stillbirth	Yes	4 (5.6)	3 (2.1)	2.77 (0.602, 12.712)*	2.40 (0.365, 15.793)
History of stillbirth	No	67 (94.4)	139 (97.8)	1	1
ANC	Yes	63 (88.7)	141 (99.3)	0.06(0.007, 0.456)*	0.08 (0.008, 0.694)**
ANC	No	8 (11.3)	1 (0.7)	1	1
Labour	Spontaneous	67 (94.4)	137 (96.5)	0.61(0.159, 2.351)*	2.85 (0.351, 23.190)
Labour	Induced	4 (5.6)	5 (3.5)	1	1
UTI	Yes	2 (2.8)	3 (2.1)	1.34 (0.219, 8.225)*	0.41 (0.039, 4.406)
UTI	No	69 (97.2)	139 (97.9)	1	1
DM	Yes	3 (4.2)	2 (1.4)	3.08 (0.504, 18.918)*	3.89 (0.541, 27.914)
DM	No	68 (95.8)	140 (98.6)	1	1
Anemia	Yes	6 (8.5)	3 (2.1)	4.28(1.037, 17.639)*	3. 36 (0.451, 25.07)
Anemia	No	65 (91.5)	139 (97.9)	1	1
PIH	Yes	16 (22.5)	9 (6. 3)	4.29 (1.792, 10.313)*	3.77 (1.408, 10.147)**
PIH	No	55 (77.5)	133 (93.7)	1	1
Polyhydramnios	Yes	2 (2.8)	1 (0.7)	4.09 (0. 364, 45.854)	1.14 (0.054, 23.770)
Polyhydramnios	No	69 (97.2)	141 (99.3)	1	1
APH	Yes	2 (2.8)	1 (0.7)	4.09(0.364, 45.962)*	1.82 (0.125, 26.435)
APH	No	69 (97.2)	141 (99.3)	1	1
PROM	Yes	20 (28.2)	10 (9.0)	5.18 (2.268, 11.812)*	3.78 (1.467, 9.749)**
PROM	No	51 (71.8)	132 (91.0)	1	1
Multiple pregnancy	Yes	26 (36.6)	14 (9.9)	5.28 (2.538, 10.996)*	5.53 (2.467, 12.412)**
Multiple pregnancy	No	45 (63.4)	128 (90.9)	1	1
= P-value ≤ 0.30, *= P-value < 0.05

Mothers who resided in urban areas had 52% reduced odds of developing preterm birth than those mothers’ resided in rural areas [AOR = 0.48; 95% Cl; 0.239, 0.962].

Mothers who had antenatal care follow up had 92% reduced odds of developing preterm birth than those mothers’ who had no antenatal care follow up [AOR = 0.08; 95 Cl; 0.008, 0.694].

Mothers who had premature rupture of membranes had odds 3.78 times higher to experience preterm birth than those who had no premature rupture of membranes [AOR = 3.78; 95% Cl; 1.467, 9.749].

Mothers who had pregnancy induced hypertension had odds 3.77 times higher to experience preterm birth than those who had no premature rupture of membranes [AOR = 3.77; 95% Cl; 1.408, 10.147].

Mothers who had multiple pregnancies had odds 5.53 times higher to develop preterm birth than their counterpart [AOR = 5.53; 95% Cl; 2.467, 12.412].

The presented study was aimed to assess factors associated with preterm birth to confront neonatal morbidity and mortality related with prematurity. After controlling for confounders, urban residency, ANC follow up, premature rupture of membranes, pregnancy induced hypertension and multiple pregnancy were factors significantly associated with preterm birth.

This study found that mothers who resided in urban areas had 60% reduced odds of developing preterm birth than those mothers’ resided in rural areas. This might be due to the fact that women living in urban areas have better access to the health care than in rural area which can play an important part in the prevention of preterm delivery.

Besides, women living in rural are more likely to be exposed to hard physical works and this increases the risk of preterm delivery particularly to women coupled with other risk factors for preterm delivery. Illiteracy which is more in rural area as opposed to urban area is also an important risk factor for preterm delivery. This finding is supported by other studies [12, 13].

The present study also revealed that mothers who had antenatal care follow up had 92% reduced odds of developing preterm birth than those mothers’ who had no antenatal care follow up. This might be due to the fact that having ANC can enhance health promotion, detect and prevent complications related with preterm delivery at earliest point. This finding is in line with studies done in central zone of Tigray [9], Debretabour [11] and Jimma [16].

According to the present study, mothers who had premature rupture of membranes had odds 3.78 times higher to experience preterm birth than their counterpart. This might be due to the fact that prolonged premature rupture of membranes will favor microorganisms to ascend to uterus causing intrauterine infection.

The microorganism will break down the fetal membranes and also produce phospholipase which leads to formation of prostaglandin and endotoxin, substances that stimulate uterine contractions and causing preterm labour. This finding is similar with studies done in Kenya [10], Nigeria [14], Iran [15], Debretabour [11] and Jimma [16].

The current study also verified that mothers who had pregnancy induced hypertension had odds 3.77 times higher to experience preterm birth than those who had pregnancy induced hypertension. This might be due to the fact that uteroplacental ischemia in the setting of pregnancy induced hypertension results in adverse pregnancy outcomes including preterm delivery and others. Besides, pregnancy induced hypertension is a frequent reason for terminating pregnancy at early gestation which results in preterm delivery. This finding is in line with studies carried out in Debretabour [11], Jimma [16], Kenya [10], Nigeria [14] and Iran [15].

The other factor associated with preterm birth is multiple pregnancies. Mothers who had multiple pregnancies had odds 5.53 times higher to develop preterm birth than their counterpart. This is due to the fact that multiple pregnancies cause distention of the myometrium leading to uterine contractions and cervical dilation.

Moreover, other obstetric complications like preeclampsia and polyhydramnios concomitantly occur with multiple pregnancies resulting in spontaneous or iatrogenic preterm birth. This finding is consistent with other studies carried out in Tanzania [17], Kenya [10], Central zone of Tigray [9], Jimma [16] and Debretabour [11].

Preterm babies are predisposed to serious illness or death during the neonatal period. Deprived of appropriate treatment, those who survive are at increased risk of lifelong disability and poor quality of life. Complications arising from preterm birth are the main cause of neonatal mortality and the second prominent cause of deaths among children under the age of 5 years [18].

According to the present study, 36.6% % of preterm neonates have died. The possible causes of death were a respiratory failure, apnea of prematurity, necrotizing enterocolitis and perinatal asphyxia. This finding is in line with study done in India in which perinatal mortality was 42.4% and respiratory distress, birth asphyxia and septicemia were common causes of death [19].

The finding of the present study is also consistent with study conducted in Jimma University specialized hospital in which prenatal asphyxia, sepsis, jaundice, low gestational age, respiratory distress syndrome and initial temperature were factors associated with premature infant death [20].

Limitations of the present study include; lack of information on body mass index, antenatal cortical steroids, monthly income and educational status due to retrieving data from secondary source. Larger sample have not been included in the present study due to lack of digitalization in handling of medical records of mothers in the study area (medical records of mothers were handled in a traditional way) and therefore to include larger sample, bigger funds and longer periods are needed. Consequently, smaller sample included in this study have resulted in low and/or absence of some of the chronic medical conditions.

The present study found that urban residency, ANC follow up, premature rupture of membranes, pregnancy induced hypertension and multiple pregnancies were factors associated with preterm birth. The mortality among preterm neonates is high. The possible causes of death were respiratory failure, apnea of prematurity, necrotizing enterocolitis and perinatal asphyxia.

Enhancing ANC follow up and early detection and treatment of disorders among pregnant women during antenatal care is vital as this will reduce the occurrence of preterm birth. Every effort should be made to improve outcomes of preterm birth and reduce neonatal mortality associated with prematurity. Moreover, qualitative studies should be conducted to explore more factors causing preterm delivery and neonatal mortality associated with it.

AOR-Adjusted odds ratio, ANC-Antenatal Care, AGA- Appropriate for Gestational age, COR- Crude odds ratio, LGA- Large for Gestational age, NMR- Neonatal mortality rate, PIH- Pregnancy Induced Hypertension SGA- Small for Gestational Age, SPSS-Statistical Package for Social Science, SVD- Spontaneous Vaginal Delivery, VIF -Variance inflation factor, WHO-World Health Organization

Ethical Approval and consent to participate

Ethical clearance was taken from Wachemo University research and community service vice president office before data collection. Official letter was written to Wachemo University Nigist Eleni Mohammed Memorial Referral Hospital to get permission. Then formal letter was written from medical director of Wachemo University Nigist Eleni Mohammed Memorial Referral Hospital to record office. Finally, the hospital record office gave us permission to collect required data. However, informed consent from study participants was not required because the nature of the study was extracting & analyzing the existing data, which posed minimal risks to the study subjects. Nonetheless, data collectors maintained confidentiality through excluding names or any other personal identifiers from data collection sheets and reports.

Consent to publish

Not applicable

Availability of data and materials

The datasets used and/ or analyzed for the current study are available from corresponding author on reasonable request.

Competing interests

The authors declare that they have no competing interests.

Funding

Wachemo University funded the research and it is open for the researchers to publish the manuscript. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Authors Contribution

NG conceptualized the idea, analyzed the data, and drafted the manuscript. MT, BA, RA, HM, AA, BF and NA improved the drafted manuscript and significantly revised the manuscript for methodological and scholarly essence. All authors have read and approved the final manuscript.

Acknowledgments

We are sincerely grateful to Wachemo University; officials’ of the hospital, data collectors, supervisors and hospital record office workers without whom the present study wouldn’t be realized.

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Factors associated with preterm birth in Southern Ethiopia: Case-Control Study

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Abstract

Background

Methods

Result

Conclusions

Figures

Background

Methods

Data Analysis

Results

Maternal demographic characteristics

Obstetrics characteristics

Maternal Medical complications

Obstetrics complications

Neonatal characteristics

Neonatal outcomes

Factors associated with preterm birth

Discussion

Conclusions

Abbreviations

Declarations

Ethical Approval and consent to participate

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Availability of data and materials

Competing interests

Funding

Authors Contribution

Acknowledgments

References

Supplementary Files

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