- Research article
- Open Access
- Open Peer Review
Risk factors for pre-term birth in Iraq: a case-control study
© Al-Dabbagh and Al-Taee; licensee BioMed Central Ltd. 2006
- Received: 03 July 2005
- Accepted: 18 April 2006
- Published: 18 April 2006
Preterm birth (PTB)is a major clinical problem associated with perinatal mortality and morbidity. The aim of the present study is to identify risk factors associated with PTB in Mosul, Iraq.
A case-control study was conducted in Mosul, Iraq, from 1st September, 2003 to 28th February, 2004.
A total of 200 cases of PTB and 200 controls of full-term births were screened and enrolled in the study. Forward logistic regression analysis was used in the analysis. Several significant risk associations between PTB and the following risk factors were identified: poor diet (OR = 4.33), heavy manual work (OR = 1.70), caring for domestic animals (OR = 5.06), urinary tract infection (OR = 2.85), anxiety (OR = 2.16), cervical incompetence (OR = 4.74), multiple pregnancies (OR = 7.51), direct trauma to abdomen (OR = 3.76) and abortion (OR = 6.36).
The main determinants of PTB in Iraq were low socio-economic status and factors associated with it, such as heavy manual work and caring for domestic animals, in addition to urinary tract infections and poor obstetric history.
- Bacterial Vaginosis
- Typhoid Fever
- Meat Consumption
- Genital Tract Infection
- Suspected Risk Factor
Pre-term birth (PTB) is a major determinant of neonatal mortality, morbidity and childhood disability and remains one of the most serious problems in obstetrics. PTB is defined as gestational age at birth of less than 37 completed gestational weeks. It is further classified into three main categories: mild, very pre-term and extremely pre-term for births occurring at 32–36 weeks, 28–31 weeks and less than 28 weeks respectively, with average frequencies of 85%, 10% and 5%, respectively [1–3]. Despite major preventive efforts, the incidence of PTB has remained constant at about 5–10% of live births in most countries over the past two decades [4–6].
In 75% of PTB cases no obvious causes have been established, but several etiological risk factors have been identified. Non-obstetric risk factors include: poor socio-economic status [7, 8], maternal malnutrition [9, 10], illiteracy [10, 11], maternal age of <20 and >35 years [11, 12], heavy manual work , cigarette smoking , long distance travel , and trauma . Obstetric risk factors associated with PTB include: cervical incompetence, multiple gestations, short birth intervals, abortion, pre-labor premature rupture of membrane (PPROM) and previous PTB [9, 12, 13, 15, 17–19].
The aim of this study is to identify local risk factors that could be targeted to reduce the risk of PTB in Iraq.
The study was conducted in Mosul, the second largest city in Iraq and the center of the Nineveh regional government district with a population of about 2,700,000. During the six-month period from 1 September 2003 to 28 February 2004 cases and controls were selected from the three main maternity hospitals in Mosul. To ensure that all available cases admitted to the three hospitals during the study period were enrolled, study staff visited the hospitals on a weekly schedule.
A case-control study design was used. Cases were defined as pregnant women with a live PTB (29–<37 weeks) by vaginal delivery or caesarean section. Controls were defined as pregnant women admitted to the same hospitals with a full-term live birth (≥37 weeks) by vaginal delivery or caesarean section. In general, pre-term cases were diagnosed in advance by the resident specialist. All eligible cases present during the study hospital visits were approached in the postpartum recovery room following the birth. A total of 217 cases were selected and 200 of them agreed to participate in the study. Each case was assigned a control, a woman in the nearest adjacent bed to the case participant who met the selection criteria. All subjects approached agreed to participate in the study.
All cases and controls were interviewed face-to-face using a specially designed questionnaire. In addition to general background information, respondents were asked questions about suspected risk factors. Socio-economic status was scored according to the presence or absence of a private car (scored as 1 or 0) and the number of electric appliances in the household (up to 2 = 1, 3 to 5 = 2, 6 or more = 3). Living quarters were categorized as adequate and inadequate, the latter consisting of tents, mud huts and/or in partially built houses with no water or electricity supply. An overall socio-economic status score was calculated for each subject; a score of 2 or less indicated low socioeconomic status and a score of 3 or more was defined as moderate to high socioeconomic status.
Information was also collected on the frequency of meat consumption; occasionally (once a week or less), frequently, or regularly (twice a week or more). Information about suspected risk factors for the present pregnancy and past obstetric history were obtained from the patient and/or from the clinical case record as applicable. The diagnosis of cervical incompetence was taken from clinical case notes (defined as dilatation of the cervix 2 cm or more in the first trimester by US examination).
The patient was asked about the diagnosis and treatment of four conditions during pregnancy: diabetes, typhoid fever, urinary tract infections and genital tract infections.
Finally, emotional disturbances occurring during pregnancy were assessed by two questions assessing severe fright and anxiety. Severe fright was defined as hearing unexpected bad news and/or experiencing military actions. Anxiety was assessed using a scale adopted by the American Psychiatric Association . This includes a list of six questions regarding stressful life events including: restlessness, easy fatigability, muscular tension, sleep disturbances, irritability and difficulties concentrating. The presence of anxiety was established when the score was positive for ≥50% of the six questions.
Odds Ratios (OR) and 95% Confidence Intervals (CI) for the OR were calculated. The p value was based on the value of Z; a p value > 0.05 was not significant (NS). The dependent variable of the logistic regression was the presence or absence of PTB. A stepwise forward logistic regression was used. All variables were included in the initial analysis; the variable with the strongest association was estimated first, followed by all significant variables.
Distribution of study population by age.
Age groups (years)
Distribution of cases and controls according to socio-economic background
1. Frequency of meat consumption
2. Manual work
3. Socio-economic status
5. Level of education
6. Presence of domestic animal
Distribution of study population according to other suspected risk factors.
Risk variables of present pregnancy
genital tract infection
urinary tract infection
antenatal visits due to pregnancy complications
long travel and trauma to abdomen
history of long travel
trauma to abdomen
Forward logistic regression model for the occurrence of PTB.
occasional meat consumption
Presence of and caring for domestic animal
urinary tract infection
direct trauma to the abdomen
A case-control study design was conducted in which the response rate for the cases was 93% and for the controls 100%. Cases that declined to participate in the study cited fatigue as the reason. Recall bias is certainly one of the major limitations of a case-control study. This, however, is thought to be relatively moderate since the factors being assessed were related to pregnancy, which many women recall vividly. This assumption is reinforced by the fact that mothers were interviewed very soon after birth and after a thorough explanation of the study's aims. Efforts were also made to establish rapport between investigators and the study population.
PTB is one of the most common obstetric problems, and pre-term neonates are more likely to die than full-term infants. Furthermore, those who survive run a greater risk of disability [1, 2]. In the crude analysis a significant risk association was found between PTB and women who conceived at younger but not at older ages. Age, however, became insignificant in the regression analysis when controlling for other variables. Contradicting results have been observed in other studies between the age of the mother at conception and PTB [11, 23]. No significant association was observed between PTB and parity. Some cross-sectional analyses have reported an association with high parity, while others showed no effect of parity on the occurrence of PTB .
Frequency of meat consumption was used as an indicator of the woman's nutritional status and the study found that occasional as opposed to frequent meat consumption was significantly associated with PTB. Meat is expensive in Iraq and only higher-income families can afford frequent consumption. Meat is also considered to be an essential source of iron, and iron deficiency anemia has been regarded as a risk factor for PTB . In Iraq such anemia is frequent among women and may be directly linked to lack of meat consumption . Moreover high-risk pregnancies in Mosul have been significantly more prevalent among malnourished women .
Poor socio-economic background and illiteracy were also both found to be significantly associated with PTB. Similarly, significant associations were observed between PTB and heavy manual work and caring for domestic animals. All these conditions are interrelated and are proxies for low socio-economic status. This might explain why some of these factors became insignificant predictors of PTB in the forward logistic regression analysis. Similar results have been reported elsewhere. Other studies have also found that limiting the amount of work done by pregnant women and avoiding fatigue helps reduce the risk of PTB [8–10, 13, 15]. The study also revealed significant risk associations between the presence of cervical incompetence, multiple pregnancies and previous PTB. This, too, is in accordance with other studies [9, 12, 13, 17]. Accidental hemorrhage has also been suspected as a risk factor . In the present study, an OR of 2.31 for hemorrhage was found but was not significant. This might be due to the small number of cases detected.
Urinary tract infections were found to be a significant risk factor for PTB in this study, which reflects findings in some other studies . No association, however, was observed between PTB and genital tract infection. Other studies are inconclusive. Although similarly negative associations have been reported, some other studies have found a positive association, particularly with trichomoniasis, bacterial vaginosis and mycoplasmal infections [21, 29]. The failure in this study to find a positive association might be due to the study design. The incidence of these infections was determined by clinical case histories only and no direct laboratory results were available to the authors. It is possible that women may confuse the two infections or may be more prone to report urinary rather that genital infections.
The study also investigated the possible association of PTB with histories of other medical diseases. Only two cases of diabetes were observed among cases and one among controls. Typhoid fever (OR = 2.40) is relatively common in Mosul and patients usually correctly recall its history and treatment. The association between PTB and typhoid fever should be further investigated and documented by laboratory tests. Similar results elsewhere also associated maternal pyrexial illnesses with PTB .
Other studies have revealed controversial results for an association between smoking and PTB . In this study too few smokers were observed to draw a valid conclusion. Due to social sitgma women in Iraq have been reluctant to state their smoking habits , so it is possible that the presence of smokers in this study has been undereported. With regard to long distance travel, our findings agree with Schoeman et al  in that it does not present a significant risk of PTB. Other studies, however, have found a significant association . Direct trauma to the abdomen was reported by 45 cases and 14 controls and the association was significant, reflecting the findings of other studies [11, 12].
Not surprisingly, the study found that cases had undergone a greater number of antenatal care visits than had the controls, mainly for pregnancy complications. The coverage of antenatal care is very low in Iraq, about 30%, and antenatal visits are mainly made for high-risk pregnancies. The findings of this study support the view that women diagnosed with problems that may lead to PTB are more prone to use antenatal care services than others.
Stress, anxiety and other psychological disturbances have been suspected as risk factors for PTB [7, 15, 23]. It is a common belief in Iraqi communities that PTB is associated with anxiety and severe fright, and in the last two years stressful life events have increased in this country. The study confirmed a significant association between anxiety and PTB. It has been claimed that stress and anxiety increases corticotrophin-releasing hormones and may ultimately result in increased uterine contractility. Stress also increases cytokine production, which may independently lead to PTB or increase susceptibility to infection and subsequent PTB .
Many of the suspected risk factors listed above are interrelated with each other and probably with some other co-factors. Nevertheless, the majority of significant associations observed in the study remained so after conducting a forward logistic regression analysis.
Mosul, in common with other parts of Iraq, has been affected by war and sanctions, and pregnant women are a particularly vulnerable group. They face the consequences of poor nutrition and even malnutrition, low socio-economic standards, infections and exposure to stress and anxiety. All these risk factors, which have been found to be associated with PTB, are modifiable. They should be taken into consideration in the planning of a preventive program to decrease PTB and its sequela for mortality and morbidity among infants in Iraq.
We would like to express our deep thanks to Dr Ina K Warriner for her valuable scientific editing of this article. We would also like to extend our appreciation to Miss Muna Muneer for her valuable contribution to the statistical analysis of the data.
- Lumley J: Defining the problem: The epidemiology of preterm birth. BJOG. 2003, 110 (suppl 20): 3-7.View ArticlePubMedGoogle Scholar
- Moutquin J: Classification and heterogenicity of preterm birth. BJOG. 2003, 110 (suppl 20): 30-33.View ArticlePubMedGoogle Scholar
- Lawn JE, Cousens S, Zupan J: Lancet Neonatal survival steering team. 4 million neonatal deaths: When? Where? Why. Lancet. 2005, 365 (9462): 891-900. 10.1016/S0140-6736(05)71048-5.View ArticlePubMedGoogle Scholar
- Wen SW, Smith G, Yang Q, Walker N: The epidemiology of preterm birth and neonatal outcome. Semin Fetal Neonatal Med. 2004, 9 (6): 429-435. 10.1016/j.siny.2004.04.002.View ArticlePubMedGoogle Scholar
- Bibby E, Stewart A: The epidemiology of preterm birth. Neuro Endocrinol Lett. 2004, 25 (supp l): 43-47.PubMedGoogle Scholar
- Zeitlin J, Bucourt M, Rivera L, Topuz B, Papiernik E: Preterm birth and maternal country of birth in a French district with a multiethnic population. BJOG. 2004, 111 (8): 849-855.View ArticlePubMedGoogle Scholar
- Savitz DA, Kaufman JS, Dole N, Siega-Riz AM, Thorp JM, Kaczor DT: Poverty, education, race and pregnancy outcome. Ethn Dis. 2004, 14 (3): 322-329.PubMedGoogle Scholar
- Sadoon I, Hassan M: Incidence and risk factors of prematurely in Basrah, Iraq. JABMS. 2001, 3 (l): 100-103.Google Scholar
- Muggah E, Way D, Muirhead M, Baskerville B: Preterm delivery among Inuit women in the Baffin region of the Canadian Arctic. Int J Circumpolar Health. 2004, 63 (supp 2): 242-247.PubMedGoogle Scholar
- Cisse CT, Mbaye M, Faye Dieme ME, Traore AL, Moreau JC: Previous induced abortions and the risk of very preterm delivery: results of the EPIPAGE study. BJOG. 2005, 112 (4): 430-437.View ArticleGoogle Scholar
- Jacobsson B, Ladfors L, Milsom I: Advanced maternal age and adverse prenatal outcome. Obstet Gynecol. 2004, 104 (4): 727-733.View ArticlePubMedGoogle Scholar
- Krymko H, Bashiri A, Smolin A, Sheiner E, Bar-David J, Shoham-Vardi I, Vardi H, Mazor M: Risk factors for recurrent preterm delivery. Eur J Obstet Gynecol Reprod Biol. 2004, 113 (2): 160-163. 10.1016/j.ejogrb.2003.08.006.View ArticlePubMedGoogle Scholar
- Ezechi OC, Makinde ON, Kalu BE, Nnatu SN: Risk factors for preterm delivery in South Western Nigeria. J Obstet Gynaecol. 2003, 23 (4): 387-391. 10.1080/0144361031000119556.View ArticlePubMedGoogle Scholar
- Pollack H, Lantz PM, Frohna JG: Maternal smoking and adverse birth outcomes among singletons and twins. Am J Public Health. 2000, 90 (3): 395-400.View ArticlePubMedPubMed CentralGoogle Scholar
- Moutquin JM: Socio-economic and psychological factors in the management and prevention of preterm labor. BJOG. 2003, 110 (supp 20): 56-60.View ArticlePubMedGoogle Scholar
- El-Kady D, Gilbert WM, Anderson J, Danielsen B, Towner D, Smith LH: Trauma during pregnancy, an analysis of maternal and fetal outcomes in a large population. Am J Obstet Gynecol. 2004, 190 (6): 1661-1668. 10.1016/j.ajog.2004.02.051.View ArticlePubMedGoogle Scholar
- Kurdi AM, Mesleh RA, Al-Hakeem MM, Khashoggi TY, Khalifa HM: Multiple pregnancy and preterm birth. Saudi Med J. 2004, 25 (5): 632-637.PubMedGoogle Scholar
- Althuisius SM, Dekker GA: Controversies regarding cervical incompetence, short cervix and the need for cerclage. Clin Perinatol. 2004, 31 (4): 695-720. 10.1016/j.clp.2004.06.009.View ArticlePubMedGoogle Scholar
- Nguyen N, Savitz DA, Thorp JM: Risk factors for preterm birth in Vietnam. Int J Gynaecol Obstet. 2004, 86 (l): 70-78. 10.1016/j.ijgo.2004.04.003.View ArticlePubMedGoogle Scholar
- Wright SP, Mitchell EA, Thompson JM, Clements MS, Ford RP, Stewart AW: Risk factors for preterm birth: a New Zealand study. N Z Med J. 1998, 111 (1058): 14-6.PubMedGoogle Scholar
- Brown D: Clinical variability of bacterial vaginosis and trichomoniasis. J Reprod Med. 2004, 49 (10): 781-786.PubMedGoogle Scholar
- American Psychiatric Association: Diagnostic and Statistical Manual of Mental Disorders. 2000, Washington DC, 211-Text revision, (DSM-IV-TR), 4Google Scholar
- da Silva AA, Simoes VM, Barbieri MA, Bettiol H, Lamy-Filho F, Coimbra LC, Alves MT: Young maternal age and preterm birth. Paediatr Perinat Epidemiol. 2003, 17 (4): 332-339. 10.1046/j.1365-3016.2003.00515.x.View ArticlePubMedGoogle Scholar
- Main DM, Grisso JA, Wold T, Snyder ES, Holmes J, Chiu G: Extended longitudinal study of uterine activity among low risk women. Am J Obstet Gynecol. 1991, 165 (5): 1317-1322.View ArticlePubMedGoogle Scholar
- Little Mp, Brocard P, Elliott P, Steer PJ: Hemoglobin concentration in pregnancy and prenatal mortality: a London based cohort study. Am J Obstet Gynecol. 2005, 193 (1): 220-226. 10.1016/j.ajog.2004.11.053.View ArticlePubMedGoogle Scholar
- Al-Dabbagh SA, Al-Azzawi NA: Effectiveness of UNICEF program for anemia control during pregnancy. Annal Coll Med Mosul. 1999, 25 (1&2): 13-16.Google Scholar
- Perez Molina JJ, Cobian Lopez BE, Silva Maciel CA: Maternal risk factors and premature birth in a public hospital at West of Mexico. Ginecol Obstet Mex. 2004, 72: 142-149. (English abstract)PubMedGoogle Scholar
- Al-Jawadi TA: Identification of the high risk pregnancy and its outcomes: a cohort study. Mosul Medical College. University of Mosul, M.Sc. Thesis. 1998, 29-32.Google Scholar
- Wasiela M, Krzeminski Z, Hanke W, Kalinka J: Association between genital mycoplasmas and risk of preterm delivery. Med Wieku Rozwoj. 2003, 7 (3 suppl 1): 211-216.PubMedGoogle Scholar
- Bader LK, Abdullah B, Mahmoud A: Precursors of preterm birth: comparison of three ethnic groups in the middle East and the United States. J Obstet Gynecol Neonatal Nurs. 2005, 34 (4): 444-452. 10.1177/0884217505276303.View ArticleGoogle Scholar
- Al-Dabbagh S, Al-Jawadi A, Taka M, Al-Saygh A: Cigarette smoking knowledge, attitude and behavior of Mosul University students. Ann Coll Med Mosul. 1989, 15: 107-115.Google Scholar
- Schoeman J, Grove DV, Odendaal HJ: Are domestic violence and excessive use of alcohol risk factors for preterm birth?. J Trop Pediatr. 2005, 51 (1): 49-50. 10.1093/tropej/fmh074.View ArticlePubMedGoogle Scholar
- Maupin R, Lyman R, Fatsis J, prystowiski E, Nguyen A, Wright C, Kissinger P, Miller J: Characteristics of women who deliver with no prenatal care. J Matern Fetal Neonatal Med. 2004, 16 (1): 45-50. 10.1080/14767050412331283913.View ArticlePubMedGoogle Scholar
- Al-Getachi WF, Khattab Gh: Evaluation of maternal and child health services in a primary health care centre in Mosul. Ann Coll Med Mosul. 2001, 27 (2): 43-48.Google Scholar
- Gennaros S, Hennessy MD: Psychological and physiological stress: impact on preterm birth. J Obstet Gynecol Neonat.Google Scholar
- The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1471-2393/6/13/prepub
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