ABSTRACT
Objective: The aim of the
study was to estimate the prevalence of the adverse pregnancy outcomes among
Jordanian women.
Methods: A cross sectional study was carried out in five major
hospitals in the north of Jordan.
Women who gave birth in the five Hospitals during the period from April to June
2007 were included in the study. Data were collected within 24 hours of
delivery; the mother answered a pilot tested structured questionnaire
administered by trained personnel on the maternity ward through face to face
interview, which lasted for 10 to 15 minutes.
Result: This study included a
total of 3,269 women. More than half of them (57%) were living in urban areas,
and 41.3% had an education of higher than high school. Only 1% gave birth to a
very low birth weight baby and 10.9% gave birth to a moderately low birth
weight baby. The prevalence of low birth weight baby was the highest for women
aged above 40 years. Only 1.4% gave stillbirth with the rate being the lowest
for those aged between 20 and 34 years. Prevalence of giving birth with any
congenital anomaly was more evident for the oldest age group where about 40% of
cases occurred among women aged above 40 years.
Conclusions:
Adverse pregnancy outcomes including
preterm delivery, low birth weight delivery, congenital anomalies, and
stillbirth are common among Jordanian women compared with those in developed
countries. Older women (age > 40) are at high risk of such adverse pregnancy
outcomes.
Key words: Congenital
anomalies, Low birth rate, Preterm labour
JRMS December 2013; 20(4): 24-30 / DOI: 10.12816/0001546
Introduction
The controversy surrounding the causes of adverse pregnancy outcomes
especially congenital anomalies and stillbirth has been the subject of many
studies in recent years. Several studies gave rise to the hypothesis that there
is a higher rate of adverse pregnancy outcomes within the developing countries
like Jordan;
however there is no specific data about baseline data of some pregnancy
outcomes in Jordanian population. Preterm birth is a major
public health problem all over the world, but little is known about the size of
this problem in developing countries like Jordan. (1) Worldwide,
preterm labor occurs in 6-8% of pregnancy and preterm labor is responsible for
more than 80% of neonatal deaths and more than 50% of long term morbidity in
the surviving infants.(2) There are no accurate
recent worldwide data, but estimates of preterm birth rates range from 5% in
developed countries to 25% in developing countries.(3) The prevalence
of preterm birth has remained relatively constant over the past three decades
and there are worrying trends that it is on the increase.(4)
The rate of low
birth weight (LBW) differ markedly around the world with 98% are in developing
countries.(5) In both developed and developing countries,
low birth weight is an important cause of perinatal mortality and both short-
and long-term infant and childhood morbidity.(6) Birth weight
is a reliable index of intrauterine growth retardation (IUGR) and a major
factor determining child survival, future physical growth and mental
development.(7) Organization
estimates that 16% of neonates, or nearly 20 million, are born LBW each year.
The highest prevalence is observed in South Asia, where an estimated 31% of
neonates are born LBW and IUGR is responsible for nearly two-thirds of
neonatal deaths occur among LBW babies.(8) A congenital
abnormality is any defect in form, structure or function. The prevalence of
major congenital abnormal is 2-3% of all births.(9) In
Jordan, data on the prevalence of adverse pregnancy outcomes including preterm
labor, low birth weight delivery, stillbirth and congenital anomalies are
lacking. Therefore this study is intended to provide baseline data on adverse pregnancy
outcomes among Jordanian women. The main objective of this study was to assess
the adverse pregnancy outcomes among women in north Jordanian and to determine
their association with maternal age.
Methods
A cross- sectional study was carried out at the main
five governmental hospitals dealing with deliveries in the north of Jordan. All women
who delivered in the five hospitals over a period of three months in 2007 were
included in the study. The sample size was calculated using level of
significant of 0.05 and power of 80%. The
expected prevalence of any congenital anomalies of 2% was used in sample size
calculation. The estimated sample size using the null hypothesis value of 3% was
2042. Epicac 2000 was used to calculate the sample size. A larger sample size was
intended to increase the power of the study. Approval for the study was
obtained from the administrator of each hospital. All participants agreed to
participate and gave inform consent at the time of data collection. Non-
Jordanian women, women with multiple pregnancies, and women who were referred
from hospitals other than the previously mentioned hospitals due to a complicated
pregnancy were excluded.
Data collection
Data were collected from women within 24 hours of
delivery. Mothers answered a pilot tested structured questionnaire administered
by a group of well trained personnel on the maternity ward through face to face
interview, which lasted for 10 to 15 minutes. The questionnaire consisted of 75
questions. The first part of the questionnaire sought information about socio-demographic
characteristic and selected behaviors: mother's age, education, employment,
total family income, area of living, active and passive smoking during
pregnancy, blood group, consanguinity with partner, coffee and tea consumption.
The second part included questions about the obstetric and medical history;
history of preterm birth delivery, history of low birth weight delivery,
history of pre-eclampsia, history of caesarian delivery, plan and acceptance of
pregnancy, self-reported emotional status during pregnancy, regular use of
medication, history of urinary tract infections or candidal vaginosis during
pregnancy, interpregnancy interval, parity, gravidity, number of prenatal care
visits, onset of prenatal care, history of miscarriages, information regarding
family history of preterm birth, low birth weight, and pre-eclampsia. Chronic
illnesses were abstracted from maternal records. Complicated pregnancies by one
or more antenatal medical conditions, including diabetes (pre-existing and
gestational), hypertension, and anemia were evaluated. Prepregnancy height in
cm and weight in Kg were self- reported. Several studies have reported that
recalled pre-pregnancy weight reflects actual weight in women. Maternal age was
defined as the age of mother in completed years at the time of delivery.
Estimated gestational age was calculated based on the recalled last menstrual
period as the interval between the date of delivery and the date of last normal
menstrual period. When the last normal menstrual period date was missing, a
clinical estimate of gestational age was used instead. Parity was categorized into
no previous pregnancies, one or two previous pregnancies, and three or more
previous pregnancies. Information on pregnancy complications, pregnancy and
neonatal outcomes were collected as part of clinical work by the nurses and
midwives who took care of delivery and neonatal care. The mode of delivery was
registered to the database as: spontaneous, instrumental or cesarean section.
The admission rate to the neonatal intensive care unit (NICU) was recorded as
infants requiring more than 22 hours surveillance. Neonates needing only
observation are also treated in the NICU in hospital. Birth weight, outcome of
pregnancy (live or stillbirth), gender of the baby and gestational age at birth
were obtained from obstetric records.
Miscarriage / spontaneous abortion were defined as the involuntary loss of the
products of conception prior to 24 weeks’ gestation. Preterm delivery was defined as birth before
37 weeks of gestation. Moderately preterm (live infant delivered between 28-37)
and very pre-term delivery (live infant delivered at less than 28 weeks’
gestation, LBW (live infant weighting <2500 g at birth), moderate LBW (live infant weighting 1500- 2500 g at
birth), very LBW (live infant weighting <1500 g at birth) were recorded. Stillbirth
was defined as delivery of a baby after 24 weeks of gestation with no signs of
life. Congenital malformations included any minor or major abnormality in the
structure or function of any organ.
Statistical
analysis
The Statistical Package for Social Sciences software (SPSS, version 15)
was used for data processing and analysis. Characteristics of subjects'
variables were described using frequency distribution for categorical variables
and mean and standard deviation for continuous
variables. Chi-square test was used wherever appropriate. Rates of adverse birth
outcomes were calculated for each maternal age group. The adjusted
Odds ratios (ORs) along with their 95% confidence intervals (CIs)
associated for age groups, with reference to the 20–24 years olds
were derived through multivariate logistic regression models with
adjustment for potential confounders. Crude and adjusted odds ratios and their 95%
confidence intervals were calculated. The significance of the associations
between maternal age and adverse pregnancy outcomes were adjusted for possible
predictors using binary logistic regression. At the first step of analysis,
factors that were significantly associated with selected outcomes in the
univariate analysis were entered in the regression equation. A variable was entered
into the model if the probability of its score statistic was less than the
entry value of 0.05, and was removed if the probability was greater than the
removal value of 0.1. At this step, all variables that remained significant in
the multivariate analysis constituted the reference model. The second step was
repeated for each outcome variable. A p-value of less than 0.05 was considered
statistically significant.
Results
Participants' characteristics:
This study included a total
of 3,296 women. Their age ranged from 14 to 49 years with a mean of 27.2 years.
More than half of women (57.1%) were living in urban areas, and 41.3% had an
education of higher than high school. Their socio-demographic and relevant
characteristics according to age are shown in Table I.
Adverse pregnancy outcomes:
Table II shows the
distribution of pregnancy outcomes for Jordanian women according to age. Only
1% gave birth to a very low birth weight baby and 10.9% gave birth to a moderately
low birth weight baby. The prevalence of low birth weight delivery was the
highest for women aged above 40 years. About 16.0% of deliveries were premature
(9.8% very preterm and 6.2% moderately preterm). Only 1.4% gave stillbirth with
the rate being the lowest for those aged between 20 al 34 years. The prevalence
of giving birth with any congenital anomaly was 2.4% being extremely high for women
aged above 40 years where 40% of cases occurred in this age group.
Table I:
Socio–demographic and relevant characteristics of participant according to age
Age (year)
|
Variable
|
< 20
N (%)
|
21-34
n (%)
|
35-39
n (%)
|
> 40
n (%)
|
Total
n (%)
|
Education
< high school
high school
> high school
|
163 (74.8)
105 (30.8)
73 (21.4)
|
693 (28.3)
688 (28.1)
1068 (43.6)
|
81 (25.5)
92 (28.9)
145 (45.6)
|
63 (39.1)
33 (20.5)
65 (40.4)
|
1000 (30.6)
918 (28.1)
1351 (41.3)
|
Income
< 200
> 200
|
218 (63.9)
123 (36.1)
|
1117 (45.6)
1332 (54.4)
|
143 (45)
175 (55)
|
54 (33.5)
107 (66.5)
|
1532 (46.9)
1737 (53.1)
|
Occupation
Employed
Unemployed
|
20 (5.9)
321 (94.1)
|
369 (15.1)
2080 (84.9)
|
96 (30.2)
222 (69.8)
|
23 (14.3)
138 (85.7)
|
508 (15.5)
2761 (84.5)
|
Residence area
Urban
Rural
|
206 (60.4)
135 (39.6)
|
1390 (56.8)
1059 (43.2)
|
176 (55.3)
142 (44.7)
|
94 (58.4)
67 (41.6)
|
1866 (57.1)
1403 (42.9)
|
Parity
0
1 or 2
> 2
|
213 (62.5)
114 (33.4)
14 (41)
|
686 (28)
969 (39.6)
794 (32.4)
|
24 (7.5)
49 (15.4)
245 (77)
|
12 (7.5)
17 (10.6)
132 (82)
|
935 (28.60)
1149 (35.15)
1185 (36.25)
|
Table
II: The distribution of adverse
pregnancy outcomes for Jordanian women according to age
Age (year)
|
Variable
|
< 20
No. (%)
|
20-34
No. (%)
|
35-39
No. (%)
|
> 40
No. (%)
|
Total
No. (%)
|
P-Value
|
Gestational age
Very preterm
Moderately preterm
Full term
|
39 (11.4)
31 (9.1)
271 (79.5)
|
194 (7.9)
138 (5.6)
2117 (86.4)
|
47 (14.8)
21 (6.6)
250 (78.6)
|
41 (25.5)
13 (8.1)
107 (66.5)
|
321 (9.8)
203 (6.2)
2745 (84.0)
|
<.0005
<.0005
<.0005
|
Birth weight
very low
moderately low
normal
|
0 (0.0)
36 (11.9)
267 (88.1)
|
22 (1.0)
252 (11.0)
2012 (88.0)
|
3 (1.1)
21 (7.6)
253 (91.3)
|
5 (3.9)
17 (13.4)
105 (82.7)
|
30 (1.0)
326 (10.9)
2637 (88.1)
|
<0.0005
|
Stillbirth
|
28 (1.2)
|
1 (0 .3)
|
8 (2.9 )
|
4 ( 3.1)
|
41 (1.4 )
|
0.015
|
Any congenital anomalies
|
26 ( 1.3)
|
3 (1.2)
|
7 (3.0 )
|
24 ( 27.9)
|
60 ( 2.4 )
|
<0.0005
|
Need for admission
to NICU*
|
25 (10.1)
|
206 (10.7)
|
13 ( 14.2)
|
30 (34.5)
|
292( 11.7)
|
<0.0005
|
Child treated with antibiotic
|
8 (3.3)
|
80 (4.2)
|
14 (0.6)
|
10 (11.8)
|
112 (4.5)
|
<0.0005
|
*Neonatal intensive care unit
Table III: Distribution of congenital anomalies among 60
newborns in north of Jordan
Congenital
anomalies | Total |
No. | % |
Multiple
congenital anomalies | 28 | 46.6 |
Lower
limb deformity / club foot | 10 | 16.7 |
Imperforated
anus | 8 | 13.3 |
Down
syndrome | 6 | 10.0 |
Facial palsy | 4 | 6.7 |
Cleft lip/palate | 4 | 6.7 |
The distribution of congenital
anomalies is presented in Table III. In
11.7% of deliveries, babies were admitted in NICU. The multivariate analysis of
the differences between women in adverse pregnancy outcomes according to
maternal age are shown in Table IV. Compared to women aged 20 – 34 years, those
aged above 20 years were more likely to give preterm baby. When compared to age
of 20 – 34 years, age of 35-39 was significantly associated with increased odds of preterm delivery, stillbirth and admission of babies to NICU. Age above 40 was significantly associated with increased odds of all studied adverse pregnancy outcomes.
Table
IV: Multivariate analysis of the
association between maternal age and adverse pregnancy outcomes among women in
north of Jordan
Age
|
Variable
|
20-34
|
< 20
OR (95% interval)
P value
|
35 – 39
OR (95% interval)
P value
|
> 40
OR (95% interval)
P value
|
Preterm
birth
|
1
|
2.2 (1.4,3.5) <0.0005
|
2.2 (1.5, 3.5)
<0.0005
|
5.1 (3.0, 8.7)
<0.0005
|
Low birth weight
|
1
|
0.6 (0.4,1.1)
0.100
|
0.8 ( 0.2, 1. 8)
0.054
|
1.4 (0.7, 2.7)
0.367
|
Stillbirth
|
1
|
1.2(05, 2.4)
0.005
|
3.8 (1.5, 9.8)
0.005
|
7.5 (1.8, 30.6)
0.005
|
Congenital
anomalies
|
1
|
3.3 (0.7,17.0)
0.146
|
1.1 (0.3, 3.8)
0.919
|
35.5 (10.6, 119.5)
< 0.0005
|
Admission of the baby to NICU
|
1
|
0.9 (0.6, 1.11)
0.223
|
1.6 (1.001,2.6)
0.050
|
4.6 (2.5, 8.5)
<0.0005
|
Treatment of
the baby by antibiotics
|
1
|
0.5 (0.2, 1.02)
0.052
|
2.0 ( 1.0, 4.1)
0.052
|
3.7 (1.4, 9.3)
0.007
|
Table V:
Distribution of maternal complications
during delivery
Any complication
during delivery
|
Total
|
No.
|
%
|
Tear
|
147
|
46.2
|
Failure to progress (
FTP )
|
135
|
42.4
|
Failed induction
|
7
|
2.2
|
Post partum hemorrhage ( PPH)
|
4
|
1.3
|
Internal bleeding
|
9
|
2.8
|
Anti partum hemorrhage (APH)
|
3
|
0.9
|
Hypoxia
|
5
|
1.6
|
Abruption placenta
|
7
|
2.2
|
Hysterectomy
|
1
|
0.3
|
Total
|
201
|
100
|
Table VI: Distribution of newborn complications during delivery
Complications
|
Total
|
No.
|
%
|
Respiratory distress
syndrome ( RDS)
|
257
|
72.0
|
Fetal distress (FD)
|
30
|
8.5
|
Hypoglycemia
|
11
|
3.0
|
Asphyxia
|
2
|
0.6
|
Fracture
|
3
|
0.8
|
Cord prolapsed
|
2
|
0.6
|
Pathological jaundice
|
6
|
1.7
|
Hypoxia
|
21
|
6.1
|
Meconium aspiration
|
19
|
5.3
|
Amniotic fluid Aspiration
|
5
|
1.4
|
Total
|
376
|
100
|
The distribution of
complications occurred for mothers and newborns during delivery are shown in
Table V and Table VI. Tear
and failure to progress were the most common complications occurred for women
during delivery. Respiratory distress syndrome was the most common complication
occurred for newborn.
Discussion
Preterm birth is an
important perinatal health problem across the globe. Developing countries, especially
those in Africa and Southern Asia, incur the highest burden in terms of
absolute numbers, although a high rate is also observed in North America.(10)
In our study about 16.0% of deliveries were premature in contrast to a study by
Martin et al.(11) which showed following a long period
of fairly steady increase, the U.S. preterm birth rate declined for the second
straight year in 2008 to 12.3 percent, from 12.8 percent in 2006.
In contrast to our study, Olausson
et al.(12) found that the prevalence of preterm birth
was inversely correlated with maternal age, being highest in the 13 – 15 years
age group. The findings were consistent with those of previous literature(13,14)
in which young mothers were at more risk of preterm delivery and this is due to young maternal
gynecological age.
In Jordan a retrospective
study by Al-Ramahi(15) comparing the obstetric outcome of 267
adolescent pregnancies to 500 adult women pregnancies during the same period at
University hospital, there was a significant increase of preterm labor in
adolescent pregnancies, compared to adult pregnancies (14.6 and 8% respectively).
This study revealed that
only 1.4% gave stillbirth with the rate being the lowest (0.3%) for those aged
between 20-34 years and highest for those aged > 40 years (3.1%). A Swedish
study observed that perinatal mortality, intrauterine fetal death, and neonatal death
increased with age. There was also an increase in intercurrent illnesses and
pregnancy complications with increasing age, but this did not entirely explain
the observed increase in perinatal mortality with age.(16)
The prevalence of giving
birth with any congenital anomaly was highly evident for the oldest age group
where about 40% of cases occurred among women aged above 40 years and also
babies needed to be admitted in NICU in 11.7% of deliveries with the highest
rate of admission to NICU occurred among women aged above 40 years. The
majority of previous studies on the association between maternal age and
congenital anomalies have focused on the strong association between advanced
maternal age and chromosomal defects, Reefhuis et al.(17)
found that the overall prevalence of all congenital anomalies across the age
distribution was shown
as a J shape, with women aged 20–29 years having the
lowest prevalence, teenage women having an intermediate prevalence and women
more than 40 years old having the highest prevalence. While a study by Chen et
al. have explored the association between younger maternal age and congenital
anomalies, and various congenital anomalies have been identified to be
associated with younger maternal age.(18)
Limitations of the Study
The study was based on self reported
information. Bias should be taken into consideration in the interpretation of
findings of the study, except for the measurement which was based on clinical
records like objective data. Using many trained personal and not the
researcher, and cannot be generalized to the total population of Jordan.
Recommendations
· Further studies on the adverse pregnancy
outcomes are required among other populations and on the national level to
support the present findings.
· Further studies are recommended to
compare adverse pregnancy outcomes observed in governmental hospitals with
others like private, military, and tertiary hospitals in the north of Jordan.
· Educational programs that emphasize the
effect of adverse pregnancy outcomes and ways to minimize them are needed, to
increase the awareness of pregnant women and all health workers in order to
facilitate
Conclusion
Adverse
pregnancy outcomes including preterm delivery, low birth weight delivery,
congenital anomalies, and stillbirth are common among Jordanian women compared
with that in developed countries. The rate of caesarian section is high and
exceeding the acceptable rate. Older women (age > 40) are at high risk of
such adverse pregnancy outcomes. Preventive measures to improve both maternal
and neonatal health are needed.
References
1.Abu-Salah
O. Unfavourable outcomes
associated with late preterm birth: observations from Jordan. J
Pak Med Assoc 2011 Aug; 61(8):769-72.
2.Wei
Yuan, Anne M Duffner, Lina Chen, et al. Analysis of preterm deliveries below 35 weeks'
gestation in a tertiary referral hospital in the UK. A case-control survey. BMC
Research Notes 2010, 3:119.
3.Steer
P. The epidemiology of preterm
labour. BJOG 2005 Mar; 112 Suppl
1:1-3.
4.Langhoff-Roos J, Kesmodel U,
Jacobsson B, et al.
Spontaneous preterm delivery in primiparous women at low risk in Denmark:
population based study. BMJ 2006 Apr 22; 332(7547):937-9.
5.Carlo WA, Goudar SS, Jehan I, Chomba
E, et al. Newborn-care training and perinatal mortality in
developing countries. N Engl J Med. 2010 Feb 18; 362(7):614-23.
6.Goldenberg RL, Culhane JF. Low birth weight in the United States. Am J Clin Nutr
2007 Feb; 85(2):584S-590S.
7.Negi KS, Kandpal SD, Kukreti M. Epidemiological factors affecting
low birth weight. JK Science. Journal of Medical Education 2006; 8 (1):
31-34.
8.Bang AT, Baitule SB, Reddy HM,
Deshmukh MD, et al. Low
birth weight and preterm neonates: can they be managed at home by mother and a
trained village health worker? J Perinatol 2005 Mar; 25 Suppl 1:S72-81.
9.Munim
S, Nadeem S, Khuwaja NA. The
accuracy of ultrasound in the diagnosis of congenital abnormalities. J Pak
Med Assoc 2006 Jan; 56(1): 16-18.
10.Beck
S, Wojdyla D, Say L, Betran AP, et al. The worldwide prevalence of preterm birth: a
systematic review of maternal mortality and morbidity. Bull World Health
Organ 2010 Jan; 88(1):31-8.
11.Martin
J, Osterman MJK, Sutton PD. Are
preterm births on the decline in the United States? Recent data from the
National Vital Statistics System. NCHS Data Brief No. 39. Hyattsville,
MD: US Department of Health and Human
Services, CDC, National
Center for Health
Statistics; 2010.
12.Olausson PO, Cnattingius S, Haglund B. Does the increased risk of
preterm delivery in teenagers persist in pregnancies after the teenage period? BJOG
2001 Jul; 108(7):721-5.
13.Khashan AS,
Baker PN, Kenny LC. Preterm birth and reduced birthweight in first and second teenage
pregnancies: a register-based cohort study. BMC Pregnancy Childbirth.
2010 Jul 9; 10:36.
14.Ziadeh S. Obstetric outcome of teenage
pregnancies in North Jordan. Arch Gynecol
Obstet 2001 Mar; 265(1):26-9.
15.Al-Ramahi M,
Saleh S.
Outcome of adolescent pregnancy at a university hospital in Jordan. Arch Gynecol Obstet. 2006 Jan;
273(4):207-10.
16.Jacobsson B,
Ladfors L, Milsom I. Advanced maternal age and adverse perinatal
outcome. Obstet Gynecol 2004 Oct; 104(4):727-33.
17.Reefhuis J,
Honein MA. Maternal age and non-chromosomal
birth defects, Atlanta--1968-2000:
teenager or thirty-something, who is at risk? Birth Defects Res A Clin Mol
Teratol 2004 Sep; 70(9):572-9.
18.Chen XK, Wen
SW, Fleming N, et al. Teenage pregnancy and congenital
anomalies: which system is vulnerable? Hum Reprod 2007 Jun; 22(6):1730-1735.