Literature DB >> 22761281

Socio-demographic characteristics of women sustaining injuries during pregnancy: a study from the Danish National Birth Cohort.

Jasveer Virk1, Paul Hsu, Jørn Olsen.   

Abstract

OBJECTIVES: To describe adverse birth outcomes associated with hospital-treated injuries that took place among women in the Danish National Birth Cohort.
DESIGN: Longitudinal cohort study.
SETTING: Denmark. PARTICIPANTS: 90 452 women and their offspring selected from the Danish National Birth Cohort. PRIMARY AND SECONDARY OUTCOME MEASURES: To determine if injured women were more likely to deliver an infant preterm, with low birth weight, stillborn or have a spontaneous abortion, the authors estimated HRs. ORs were generated to assess APGAR scores and infants born small for gestational age (SGA). Models were adjusted for maternal smoking and drinking during pregnancy, household socioeconomic status, eclampsia/pre-eclampsia or gestational diabetes status during pregnancy and maternal age at birth; estimates for preterm birth were also adjusted for prior history of preterm birth.
RESULTS: In the cohort of 90 452 pregnant women, 3561 (3.9%) received medical treatment for an injury during pregnancy. Injured pregnant women were more likely to deliver infants that were stillborn or have pregnancies terminated by spontaneous abortion. The authors did not detect an adverse effect between injuries sustained during pregnancy and delivery of preterm, low birth weight or SGA infants, or infants with an APGAR score of <7.
CONCLUSIONS: The study shows that injuries occurring among women from an unselected population may not have an adverse effect on birth weight, gestational age, APGAR score or SGA status but may adversely affect the risk of stillbirth and spontaneous abortions in some situations.

Entities:  

Year:  2012        PMID: 22761281      PMCID: PMC3391365          DOI: 10.1136/bmjopen-2012-000826

Source DB:  PubMed          Journal:  BMJ Open        ISSN: 2044-6055            Impact factor:   2.692


Introduction

During pregnancy, up to 7% of women sustain unintentional injuries,1 and traumatic injuries are a major cause of maternal and neonatal morbidity and mortality.2 3 The association of complications arising from blunt trauma in the presence of bleeding and contractions are evident, but less is known about adverse birth outcomes linked to minor injuries. It is possible that minor trauma during pregnancy may lead to subclinical chronic placental disruption that persists during pregnancy, which may cause an increase in the risk for acute placental abruption, preterm labour, preterm premature rupture of the membranes and placental insufficiency that restricts fetal growth.4 But we know less about the occurrence of minor injuries as they are not captured the same way as severe injuries, and the impact they have on the fetus is expected to be small or not harmful. Not much is known about the context in which these injuries take place and the socio-demographic characteristics of women sustaining these injuries, and furthermore, there are limited data on long-term consequences of these injuries for the offspring. In this paper, we describe adverse birth outcomes associated with hospital-treated injuries that took place among women in the Danish National Birth Cohort (DNBC) and we include in our assessment injury severity, cause and mechanism.

Methods

We used data collected from the DNBC, which is a longitudinal population-based cohort of pregnant women and their offspring established during 1996–2002. During these years, women were contacted to take part in the study by physicians providing their primary care during pregnancy. Approximately half of all general practitioners in Denmark participated in the study, and approximately 60% of women who were invited participated. Additional information on study design and data collection methods for the DNBC are described elsewhere.5 Information was collected twice during pregnancy using computer-assisted telephone interviews, at gestational age 12 and 30 weeks, and again when the children reached 6 and 18 months of age. All Regional Ethics Committee in Denmark approved the establishment of the cohort, and this study was further approved by the Danish Data Protection Agency and UCLA Office for Protection of Research Subjects. To obtain information regarding birth outcomes, data for each woman were linked through her personal civil registration number to the Danish National Birth Registry and the Danish National Patient Registry for the entire pregnancy period. The Danish National Birth Registry has collected data since 1968 for the primary purpose of monitoring the health of newborns and the quality of antenatal care and has been increasingly used for research.6 The gestational age at birth and birth weight was obtained from the Birth Register. Small for gestational age (SGA) was defined as a weight below the 10th percentile for gestational age, grouped by week, among children born in the DNBC. Information regarding injuries sustained during pregnancy was obtained from the Danish National Patient Registry, which contains data on all hospital stays and outpatient visits for the duration of each woman's pregnancy. For each admission or visit, the patient registry collects information on the primary discharge diagnosis (the discharge diagnosis that best describes the condition leading to the admission or outpatient visit and that is the primary reason for the prescribed and completed course of tests and treatments) and up to 20 subsidiary diagnoses. It also collects information on external cause of injury, including the mode, location and mechanism causing the injury. Data were extracted for the entire study period (1996–2002) with the use of International Classification of Diseases, 10th Revision (ICD Website, 2007)7 and the second edition of the Nordic Medico-Statistical Committee's (NOMESCO) Classification of External Causes of Injuries (NCECI).8 We identified 90 452 women who completed the first interview. All injuries were classified by the body location and mechanism causing the injury; transportation injuries were further described by mode of transportation. Women were categorised as injured if they sustained an injury at any point during pregnancy, regardless of mode, body region and mechanism causing the injury, and uninjured otherwise. To determine if injured women were more likely to deliver preterm (<34 weeks, 34–36 weeks, ≥37 weeks), low birth weight (<1500, 1500–2499, ≥2500 g), stillbirth or have a spontaneous abortion, we estimated Cox proportional HRs, using PROC PHREG in SAS Statistical Software (version 9.2), to allow for a time-to-event analysis. These models were adjusted for maternal smoking and drinking during pregnancy, household socioeconomic status, eclampsia/pre-eclampsia or gestational diabetes status during pregnancy and maternal age at birth; estimates for preterm birth were also adjusted for prior history of preterm birth. To determine if injured women were more likely to deliver SGA infants or infants with an APGAR score of <3 or between 4–6 using ≥7 as a baseline, we generated ORs using PROC GENMOD in SAS statistical software. Approximately 8% of women in the study participated more than once. Repeated subject statement was entered into each statistical model. To assess severity of injuries sustained, we compared women who sustained head and head and neck injuries with uninjured women.

Results

In our cohort of 90 452 pregnant women, 3561 (3.9%) received medical treatment for an injury during their pregnancy. Socio-demographic characteristics of all women in the cohort are presented in table 1. Results have been stratified by presence/absence of injury. Injured women were younger, smoked cigarettes more often and had lower household socioeconomic status. Maternal age, parity, smoking status, alcohol consumption, household socioeconomic status and partner cohabitation status were statistically different in the injured versus non-injured groups (p values <0.05 were calculated by χ2 test). Injury characteristics such as mode of injury, activity engaged in while sustaining injury, mechanism causing injury and body region of injury are presented in table 2. Approximately one-third of the injuries were due to falls and took place during a leisure activity. Less than one-fifth of the injuries were related to transportation. HR and OR are presented in table 3. We found that injured pregnant women were slightly more likely to deliver infants that were stillborn or have pregnancies that were terminated by spontaneous abortion. We did not detect an adverse effect between injuries sustained during pregnancy and delivery of preterm, low birth weight or SGA infants, or infants with an APGAR score of <7.
Table 1

Demographic statistics on study population stratified by injury status and department of hospital admittance

CharacteristicsTotal cohort
All (N=90 452), n (%)Non-injured (n=86 891), n (%)Injured* (n=3561), n (%)Head or neck injuries (n=534), n (%)
Maternal age at delivery (years)
 <258695 (9.6)8142 (9.4)553 (15.5)86 (16.1)
 25–2934 726 (38.4)33 341 (38.4)1385 (38.9)194 (36.3)
 30–3433 537 (37.1)32 392 (37.3)1145 (32.2)180 (33.7)
 35–3912 006 (13.3)11 594 (13.3)412 (11.6)63 (11.8)
 ≥401488 (1.6)1422 (1.6)66 (1.9)11 (2.1)
Gestational age at delivery (weeks)
 <341227 (1.5)1177 (1.4)50 (1.5)9 (1.8)
 34–362756 (3.2)2629 (3.2)127 (3.8)20 (4.0)
 ≥3782 642 (95.3)79 454 (95.4)3188 (94.7)475 (94.2)
Birth weight (g)
 <1500538 (0.6)538 (0.6)18 (0.5)4 (0.8)
 1500–24992074 (2.5)2074 (2.5)101 (3.0)15 (3.0)
 ≥250080 451 (96.9)80 451 (96.9)3238 (96.5)484 (96.2)
Sex of child
  Female42 284 (48.8)40 696 (48.8)1588 (47.2)236 (46.8)
  Male44 435 (51.2)42 656 (51.2)1779 (52.8)268 (53.2)
Parity
 139 224 (46.3)37 569 (47.2)1655 (50.7)238 (48.1)
 231 604 (37.3)30 463 (38.3)1141 (35.0)192 (38.8)
 3+13 859 (16.4)11 593 (14.6)466 (14.3)65 (13.1)
Smoking status
 None64 589 (73.4)62 299 (73.7)2290 (66.7)344 (67.3)
 Stopped during pregnancy12 530 (14.2)11 923 (14.1)607 (17.7)91 (17.8)
 1–1010 725 (12.2)10 193 (12.1)532 (15.5)76 (14.9)
 ≥10120 (0.1)117 (0.1)3 (0.1)0 (0)
Average alcohol consumption (drinks/week)
 None41 325 (64.9)39 642 (64.7)1683 (68.8)270 (34.3)
 110 480 (16.5)10 124 (16.5)356 (14.5)466 (59.2)
 26872 (10.8)6649 (10.9)223 (9.1)29 (3.7)
 32554 (4.0)2462 (4.0)92 (3.8)7 (0.9)
 4+2442 (3.8)2351 (3.8)91 (3.7)15 (1.977)
 ≥5 at one time26 779 (30.8)25 663 (29.5)1116 (31.3)167 (31.2)
Household socioeconomic status
 Higher grade professionals20 713 (23.5)19 989 (23.6)724 (21.1)126 (24.7)
 Middle-grade professionals27 304 (31.0)26 326 (31.1)978 (28.5)135 (26.4)
 Skilled work24 577 (27.9)23 587 (27.9)990 (28.8)143 (28.0)
 Unskilled work12 408 (14.1)11 804 (14.0)604 (17.6)83 (16.2)
 Student2075 (2.4)1991 (2.4)84 (2.4)11 (2.2)
 Unemployed >1 year683 (0.8)641 (0.8)42 (1.2)9 (1.8)
 Unclassified204 (0.2)194 (0.2)10 (0.3)4 (0.8)
Partner cohabitation status
 Cohabits66 859 (99.0)64 359 (98.1)2500 (98.1)353 (98.1)
 Does not cohabit687 (1.0)639 (1.9)48 (1.95)7 (1.95)
Place of delivery
 Urban48 570 (53.7)46 681 (53.0)1889 (53.0)274 (51.3)
 Rural41 882 (46.3)40 210 (47.0)1672 (47.0)260 (48.7)
Outcome
 Low birth weight (<2500 g)2731 (3.0)2612 (3.0)119 (3.8)19 (3.6)
 Preterm birth (<37 weeks)3886 (4.3)3715 (4.3)171 (4.8)29 (5.4)
 Small for gestational age8528 (9.4)8162 (9.4)336 (9.4)59 (11.0)
 Spontaneous abortion33 55 (3.7)3181 (3.7)174 (4.9)27 (5.1)
 Stillbirth288 (0.3)271 (0.3)17 (0.5)3 (0.6)
 APGAR score <7605 (0.7)586 (0.7)19 (0.5)1 (0.2)

p Values <0.05 stratified by injury status and calculated by χ2 test: maternal age, parity, maternal smoking, alcohol consumption, household socioeconomic status and partner cohabitation status.

Urban residence includes Aarhus, Gentolle, Fredericksburg, Odense, Aalborg.

Missing values: gestational age =184, birth weight =389, sex of child =90, parity =5765, smoking =1155, cohabitation status =22 920.

Table 2

Description of injuries

n (%)
Mode of injury
 Knock, blow due to bodily contact with object/animal/person975 (27)
 Crushing/cut/sting621 (17)
 Knock, blow caused by fall on the same level519 (15)
 Knock, blow caused by fall on stairway/lower level381 (11)
 Acute overload of the whole or part of the body331 (9)
 Foreign object115 (3)
 Thermal/electrical impact or radiation55 (2)
 Chemical influence28 (1)
 Other/unspecified cause of injury74 (2)
Activity during injury
 Play, hobby and other leisure activity913 (26)
 Work545 (15)
 Vital activity*300 (8)
 Sport, exercise185 (5)
 Unpaid work161 (5)
 Other activity/unspecified765 (21)
Description of transportation injuries
 Car351 (66)
 Bicycle131 (25)
 Moped/motorbike/scooter21 (4)
 On foot12 (2)
 Delivery van/truck/bus or other10 (2)
 Other/unspecified transportation7 (1)

Includes sleep, rest, taking meals and personal hygiene.

Table 3

OR and HR and 95% confidence limits for adverse birth outcomes following maternal exposure to injuries during pregnancy*

OutcomeNon-injured women (N=86 891)Injured women (N=3561)Women with head or neck injuries (N=534)Women with head injuries (N=312)
Small for gestational ageReference1.06 (0.95 to 1.18)1.15 (0.88 to 1.52)1.18 (0.84 to 1.64)
Spontaneous abortionReference1.18 (0.99 to 1.40)1.02 (0.68 to 1.53)0.93 (0.60 to 1.44)
StillbirthReference1.67 (1.01 to 2.77)2.08 (0.67 to 6.50)3.17 (1.02 to 9.88)
Low birth weight (g)
 <15000.76 (0.48 to 1.24)0.89 (0.22 to 3.57)0.83 (0.12 to 5.95)
 1500–24991.05 (0.90 to 1.23)1.12 (0.67 to 1.89)1.09 (0.70 to 1.71)
 ≥2500ReferenceReferenceReference
Preterm birth
 <34 weeks0.77 (0.39 to 1.48)0.89 (0.22 to 3.57)0.92 (0.13 to 6.60)
 34–36 weeks1.05 (0.90 to 1.23)0.99 (0.68 to 1.45)1.35 (0.86 to 2.12)
 ≥37 weeksReferenceReferenceReference
APGAR score
 ≤31.15 (0.93 to 1.40)Not enough dataNot enough data
 4–60.78 (0.47 to 1.31)Not enough dataNot enough data
 7–10ReferenceReferenceReference

All models were adjusted for eclampsia/pre-eclampsia and gestational diabetes status during pregnancy, maternal smoking and drinking during pregnancy, household socioeconomic status, and maternal age at birth, preterm birth model includes all aforementioned variables and history of preterm birth; non-injured women were used as the comparison group.

ORs.

HRs.

Demographic statistics on study population stratified by injury status and department of hospital admittance p Values <0.05 stratified by injury status and calculated by χ2 test: maternal age, parity, maternal smoking, alcohol consumption, household socioeconomic status and partner cohabitation status. Urban residence includes Aarhus, Gentolle, Fredericksburg, Odense, Aalborg. Missing values: gestational age =184, birth weight =389, sex of child =90, parity =5765, smoking =1155, cohabitation status =22 920. Description of injuries Includes sleep, rest, taking meals and personal hygiene. OR and HR and 95% confidence limits for adverse birth outcomes following maternal exposure to injuries during pregnancy* All models were adjusted for eclampsia/pre-eclampsia and gestational diabetes status during pregnancy, maternal smoking and drinking during pregnancy, household socioeconomic status, and maternal age at birth, preterm birth model includes all aforementioned variables and history of preterm birth; non-injured women were used as the comparison group. ORs. HRs.

Discussion

Our study shows that injuries occurring in an unselected Danish population of pregnant women do not adversely affect birth weight, gestational age, APGAR scores or SGA status but are adversely associated with stillbirth and spontaneous abortion. Adverse pregnancy outcomes resulting from maternal injury have been documented in other studies.9–25 Severely injured pregnant women are more likely to have preterm labour, placental abruption, cesarean section, uterine rupture, low birth weight and their infants are more likely to result in preterm delivery and suffer from fetal distress, asphyxia, respiratory distress syndrome and circum to fetal, neonatal and infant death compared with their uninjured counterparts.14 Minor trauma has also been recognised as contributor to poor fetal outcomes. Fischer et al26 found that minor injuries were associated with fetal demise, preterm birth and low birth weight. We were not able to corroborate these findings, possibly due to the nature of the healthcare system in Denmark, where the first point of medical intervention is often with a primary care physician. It is possible that we missed detection of injuries seen by midwives or the primary care physician, which restrict our effect estimates to more severe outcomes. Our results may not apply to other healthcare settings. This study is based on a Danish population, which has low fertility and where most women take part in the work force. Furthermore, duration of pregnancy leave is generous, compensated and accesses to healthcare services are covered at no cost to patients. In this study, we were able to assess socio-demographic characteristics of this population, and our data show that injured women were slightly younger than their non-injured counterparts. Trends in household socioeconomic status also seemed to differ slightly; there were fewer injured women with higher grade professional household status and more injured women with unskilled work status compared with their non-injured counterparts. Injured women were also slightly more likely to smoke cigarettes and consume three or more alcoholic drinks per week. The high prevalence of binge drinking in the DNBC occurred often at very early stage of pregnancy, when pregnancy status may be uncertain or unknown to the mother. Nine of 10 traumatic injuries during pregnancy are minor; however, 60%–70% of fetal losses during pregnancy have been reported as a result of minor injuries.17 In this study, we only have data on late spontaneous abortions, and if injured fetuses are aborted early, it may explain why we detect limited associations among newborns. Future studies should focus on long-term infant outcomes that extend beyond the perinatal period to fully assess the effects of maternal injury. Additional research evaluating maternal characteristics that may influence injury severity and proneness may aid in maternal injury prevention. At present, it is reassuring that even women hospitalised for an injury during pregnancy will in only a few cases have an excess risk of having an adverse pregnancy outcome.
  24 in total

1.  Maternal and infant outcomes after injury during pregnancy in Washington State from 1989 to 1997.

Authors:  Melissa A Schiff; Victoria L Holt; Janet R Daling
Journal:  J Trauma       Date:  2002-11

2.  Pregnancy course and outcome following blunt trauma.

Authors:  Nir Melamed; Amir Aviram; Michal Silver; Yoav Peled; Arnon Wiznitzer; Marek Glezerman; Yariv Yogev
Journal:  J Matern Fetal Neonatal Med       Date:  2012-02-01

3.  Maternal and neonatal outcomes of assaults during pregnancy.

Authors:  Dina El Kady; William M Gilbert; Guibo Xing; Lloyd H Smith
Journal:  Obstet Gynecol       Date:  2005-02       Impact factor: 7.661

4.  Traffic injuries of the pregnant women and fetal or neonatal outcomes.

Authors:  Masahito Hitosugi; Yasuki Motozawa; Masahito Kido; Tomoko Yokoyama; Hitoshi Kawato; Kiyotsuna Kuroda; Shogo Tokudome
Journal:  Forensic Sci Int       Date:  2005-08-01       Impact factor: 2.395

5.  Profile of mothers at risk: an analysis of injury and pregnancy loss in 1,195 trauma patients.

Authors:  Danagra G Ikossi; Ann A Lazar; Diane Morabito; John Fildes; M Margaret Knudson
Journal:  J Am Coll Surg       Date:  2005-01       Impact factor: 6.113

6.  Pregnancy outcomes following hospitalization for motor vehicle crashes in Washington State from 1989 to 2001.

Authors:  Melissa A Schiff; Victoria L Holt
Journal:  Am J Epidemiol       Date:  2005-03-15       Impact factor: 4.897

7.  Police-reported intimate partner violence during pregnancy and the risk of antenatal hospitalization.

Authors:  Sherry Lipsky; Victoria L Holt; Thomas R Easterling; Cathy W Critchlow
Journal:  Matern Child Health J       Date:  2004-06

8.  Trauma during pregnancy: an analysis of maternal and fetal outcomes in a large population.

Authors:  Dina El-Kady; William M Gilbert; John Anderson; Beate Danielsen; Dena Towner; Lloyd H Smith
Journal:  Am J Obstet Gynecol       Date:  2004-06       Impact factor: 8.661

9.  Prevalence and risk of hospitalized pregnant occupants in car crashes.

Authors:  Harold B Weiss; Bruce Lawrence; Ted Miller
Journal:  Annu Proc Assoc Adv Automot Med       Date:  2002

10.  Effect of motor vehicle crashes on adverse fetal outcomes.

Authors:  Lisa K Hyde; Lawrence J Cook; Lenora M Olson; Harold B Weiss; J Michael Dean
Journal:  Obstet Gynecol       Date:  2003-08       Impact factor: 7.661

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Authors:  Edailna Maria de Melo Dantas; Flávio Venicio Marinho Pereira; José Wilton Queiroz; Diogo Luis de Melo Dantas; Gloria Regina Gois Monteiro; Priya Duggal; Maria de Fatima Azevedo; Selma Maria Bezerra Jeronimo; Ana Cristina Pinheiro Fernandes Araújo
Journal:  BMC Pregnancy Childbirth       Date:  2013-08-08       Impact factor: 3.007

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