Abstract
Background
To estimate the association between post-term delivery and risk of physical disabilities, mental disabilities, and seizures during the first 7 years of life.
Methods
Data from 57,884 singleton infants born alive in week 39–45 by mothers included in the Danish National Birth Cohort (1997 to 2004) were analyzed, of these 51,268 were born at term (39–41 + 6) and 6616 post-term (42 + 0–44 + 6). Information on clinical endpoints was obtained from an interview at 18 months of gestational age, from a 7-year questionnaire, and from the Danish National Patient Register.
Logistic regression and Cox regression were used to estimate odds ratios and hazard rate ratios for the outcome obtained from the interview/questionnaire data and from the register-based data, respectively.
Results
We found no statistically significant increased risk of physical disabilities, mental disabilities, and epilepsy among children born post-term, though for most outcomes studied a tendency towards more adverse outcomes was seen. When children born late term (week 41) were compared to children born in week 42 or later the same tendency was found.
Conclusion
Post-term born children had a tendency to an excess risk of neurological disabilities as followed for up to 7 years of age.
Keywords: Children, Disability, Neurodevelopment, Developmental disability, Post-term delivery
Post-term delivery has been associated with increased perinatal mortality [1, 2] but newer studies do not support these findings, probably due to an improved management of post-term pregnancies [3, 4]. However, for unknown reasons post-term deliveries still seem to cause higher neonatal morbidity [2, 3], but it has been hypothesized to be caused by a decreased placental function in late pregnancy.
An increased risk of non-optimal motor development by increasing gestational age after 41 weeks has been reported [5, 6] and adds to the results of Moster et al. finding a higher risk of cerebral palsy in children born at 42 weeks or later compared to children born at 40 weeks [7]. The cognitive abilities of children born post-term have also been found to be negatively associated with a high gestational age at birth [8–10].
Post-term delivery has been shown to be a risk factor for seizures in the neonatal period [11] and during the first year of life [12]. Ehrenstein did, however not find evidence for an increased risk of epilepsy beyond the first year of life and until the end of the 12-years follow-up period [12], corroborating results from a Danish register-based study [4] that reported no increased risk for cerebral palsy, epilepsy, or sensorineural defects [4].
A cohort study showed that more 18 months old children born post-term achieved the assessed developmental milestones compared with children born at term (39–40 weeks) [13] and a Danish study showed a decreasing risk of impaired coordination development by increasing gestational age [14].
With respect to mental problems, a Dutch cohort study showed an increased risk of developing behavioral and emotional problems such as attention deficit hyperactivity disorder (ADHD) in children born post-term compared to children born at term when examined at 1.5 and 3 years of age [15] and an American study of children with autism spectrum disorders found a significantly higher Social Communication Questionnaire score in children born post-term (> 42 weeks) compared to children born at term, indicating a higher risk of autism spectrum disorders [16]. However, a meta-analysis of perinatal and neonatal risk factors for autism reported no association between autism and post-term birth [17].
The association between neurological complications and post-term deliveries is thus still uncertain. Therefore, further studies are needed in order to formulate evidence-based recommendations to those, who are responsible for the obstetric management of pregnancies exceeding into the post-term period. The aim of this study was to examine if post-term born children were at higher risk of physical disabilities, mental disabilities, or seizures at the age of 7 years compared to children born at term.
Methods
Data was retrieved from the Danish National Birth Cohort (DNBC), which is a follow-up study of about 100,000 children born in the period 1997 to 2004. The DNBC is estimated to have recruited about 30% of the target population. About 50% of all general practitioners took part in the recruitment and 60% of those invited accepted the invitation [18]. The participants were interviewed by telephone twice before and twice after giving birth and asked to fill in a questionnaire when the child was 7 years old. The first and second interview at 12 and 30 weeks’ gestation, respectively, included information on reproductive, toxicological, and socio-demographic factors, lifestyle factors, and health status before and during pregnancy. The third interview at 6 months after delivery included information on health status in the last part of the pregnancy and the development of the child. The fourth interview, 18 months after delivery, mainly added information on development and milestones of the child. In the questionnaire at 7 years of age information on developmental milestones, health status, physical skills, and eating habits were included (www.DNBC.dk).
Data from the interviews and the 7-year questionnaire were linked to data from the Danish National Patient Register.
Data included in this study was obtained from a cohort of 90,191 pregnancies where the mothers participated in the first pregnancy interview. Two women withdrew their informed consent to participate in the study. Subsequent pregnancies during the inclusion period, multiple gestations, stillbirth, abortion, and deliveries below gestational age 39 + 0 weeks or above 45 + 0 weeks were excluded. We identified 64,262 children born in gestational week 39–45 (17,112 born in week 39, 23,313 in week 40, 16,531 in week 41, 6985 in week 42, 299 in week 43 and 22 in week 44). Of these, 2579 children born of mothers who reported chronic diseases [essential hypertension (O100-O109, O130-O139, I100-I109), preeclampsia (O140-O149), thyroid disease (O992-O992a), diabetes type 1 (E100-E109), diabetes type 2 (E110-E119A), gestational diabetes (O240-O249)] according to the 10th revision codes of the International Statistical Classification of Diseases and Related Health Problems (ICD10) were excluded. Finally, 3799 cases of elective caesarean section (O820) or acute caesarean section before spontaneous labor (O821A) both at-term and post-term were excluded. Thus infants born after a caesarian section were only included if the caesarian was decided during delivery. This left 57,884 children for the final analysis (Fig. 1).
Data on gestational age was retrieved from the Danish National Patient Register. In the study period, the gestational age was estimated by ultrasound and used if the last menstrual period was considered unreliable [19]. Post-term delivery was defined as a pregnancy with delivery in gestational week 42 + 0 to 44 + 6, and term delivery as delivery in gestational week 39 + 0 to 41 + 6 (reference group).
Outcome measures
Outcomes of interest were extracted from the interview/questionnaire obtained from the DNBC, and the Danish National Patient Register. Background and baseline information concerning the maternal health status and the pregnancy were obtained from the first interviews in the DNBC. The interview/questionnaire outcomes concerning the child were obtained from the DNBC including information on 1) physical disabilities (chronic disease or handicap from the 7-year questionnaire, and developmental deficit from the 18-months interview), 2) seizures (epilepsy and febrile seizures from the 7-year questionnaire), and 3) mental disabilities (speech development, late start at school, and psychiatric case status from the 7-year questionnaire).
For assessing psychiatric problems an extended version of the Strengths and Difficulties Questionnaire (SDQ) [20–22] was used to provide a measure of the overall status of behavioral or social difficulties. We used the predictive algorithme based on one informant to define psychiatric caseness. The algorithme is based on the 20 questions for the subscales: 1) emotional symptoms (5 items), 2) conduct problems (5 items), 3) hyperactivity/inattention (5 items), and 4) peer relationship problems (5 items), and the added score was combined with the score of daily impact. Based on this definition about 8% of the population was identified as having a possible psychiatric disorder.
Most of the answers to the remaining questions in the interview and the questionnaire were truncated as “yes”- or “no”-answers, i.e. “Has a doctor ever said that your child had epilepsy?”
Diagnoses based on the Danish version of the ICD10 were obtained from the Danish National Patient Register as recorded during the entire follow-up period. The diagnoses included physical disabilities as cerebral and other palsies (DG80.0–9, DG81.0–9, DG82.0–5, DG83.0–9), seizures as epilepsy (DG40.0–9, DG41.0–9) and febrile seizures (DR560, DR560A) and mental and psychiatric disabilities (DF40.0–9, DF42.0–9, DF80.0-DF83.9, DF90.0-DF98.9), including infantile autism (F84.0-F89.9).
Statistical analysis
Differences in characteristics between term and post-term were compared using chi square test for categorical variables.
The children were followed from birth until the time of first recorded occurrence of the outcomes of interest (physical disabilities, mental disabilities, and seizures), emigration, death, or end of follow-up, whichever came first. The underlying time scale was age of the child in days. We used Cox proportional hazards models to estimate hazard rate ratios (HRs) with 95% confidence intervals (95% CI) for the onset of the outcomes registered in the Danish National Patient Register.
The analyses were conducted for each outcome, respectively. The results were adjusted for potential confounders including maternal age (continuous variable), parity (0/1+), socio-occupational status (high, medium, and low), smoking (yes/no but partner smoking/no), pre-pregnancy body mass index (continuous variable), and child’s sex (boy/girl).
The Cox proportional hazards assumptions were examined using log-log plots, which showed no severe violation of proportionality.
We conducted both crude as well as adjusted logistic regression to estimate odd ratios (ORs) with 95% confidence intervals for data from DNBC.
Finally, in a sub-analysis, the outcome mesurements were estimated for children born post-term (42 + 0–44 + 6, 6616 children) compared to late term (41 + 0–41 + 6, 15,390 children) (as reference).
Statistical analyses were performed using STATA version 13 (Stata Corp., College Station, Texas, USA).
Results
Figure 1 illustrates how the 57,884 children participating in the final analysis were identified. In Table 1, maternal characteristics are shown. The group of women who delivered post-term more often gave birth to boys and was characterized by more nulliparas, and with higher pre-pregnancy body-mass-index. There were slightly fewer with fever during pregnancy. We found no significant differences in socio-occupational status, maternal age, or the frequency of maternal epilepsy, psychiatric disorder, folic acid consumption, smoking and alcohol consumption (Table 1). Very few admitted using hash (137/48,345 (0.3%) vs. 16/6279 (0.3%)) or other drugs during pregnancy (20/48,354 (0.04%) vs. 3/6281 (0.05%)).
Table 1.
At term | Post-term | |||
---|---|---|---|---|
n | % | N | % | |
Total | 51,268 | 100.0 | 6616 | 100.0 |
Maternal age | ||||
10–25 | 8846 | 17.3 | 1159 | 17.5 |
26–30 | 22,360 | 43.6 | 2862 | 43.3 |
31–35 | 15,696 | 30.6 | 2004 | 30.3 |
36–50 | 4366 | 8.5 | 591 | 8.9 |
P = 0.616 | ||||
Parity | ||||
0 | 24,596 | 48.0 | 3670 | 55.5 |
1 | 18,469 | 36.0 | 1971 | 29.8 |
2 | 6720 | 13.1 | 796 | 12.0 |
3 | 1217 | 2.4 | 146 | 2.2 |
4+ | 238 | 0.5 | 29 | 0.4 |
Missing | 28 | 0.1 | 4 | 0.1 |
P = 0.000 | ||||
Pre-pregnancy BMI | ||||
< 18.5 | 2294 | 4.5 | 219 | 3.3 |
18.5 - < 25 | 35,359 | 69.0 | 4201 | 63.5 |
25 - < 30 | 9329 | 18.2 | 1442 | 21.8 |
> 30 | 3474 | 6.8 | 627 | 9.5 |
Missing | 812 | 1.6 | 127 | 1.9 |
P = 0.000 | ||||
Child’s sex | ||||
Male | 25,788 | 50.3 | 3484 | 52.7 |
Female | 25,479 | 49.7 | 3132 | 47.3 |
Missing | 1 | 0.0 | 0 | 0.0 |
P = 0.001 | ||||
Socio-occupational status | ||||
High | 27,109 | 52.9 | 3511 | 53.1 |
Medium | 19,206 | 37.5 | 2478 | 37.5 |
Low | 4764 | 9.3 | 606 | 9.2 |
Missing | 189 | 0.4 | 21 | 0.3 |
P = 0.902 | ||||
Smoking | ||||
Yes | 7423 | 14.5 | 927 | 14.0 |
No, but partner smoking | 7547 | 14.7 | 1057 | 16.0 |
No | 24,839 | 48.4 | 3165 | 47.8 |
Missing | 11,459 | 22.4 | 1467 | 22.2 |
P = 0.054 | ||||
39 + 0–41 + 6 | 42 + 0–44 + 6 | |||
n | % | N | % | |
Maternal epilepsy, medicated | ||||
Yes | 113 | 0.2 | 11 | 0.2 |
No | 39,723 | 77.5 | 5140 | 77.7 |
Missing | 11,432 | 22.3 | 1465 | 22.1 |
P = 0.638 | ||||
Psychiatric disorder | ||||
Yes | 3869 | 7.5 | 467 | 7.1 |
No | 47,357 | 92.4 | 6144 | 92.9 |
Missing | 42 | 0.1 | 5 | 0.1 |
P = 0.364 | ||||
Alcohol consumption during pregnancy | ||||
Yes | 9351 | 18.2 | 1199 | 18.1 |
No | 30,393 | 59.3 | 3939 | 59.5 |
Missing | 11,524 | 22.5 | 1478 | 22.3 |
P = 0.924 | ||||
Fever during pregnancy | ||||
Yes | 11,138 | 21.7 | 1390 | 21.0 |
No | 36,898 | 72.0 | 4848 | 73.3 |
Missing | 3232 | 6.3 | 378 | 5.7 |
P = 0.049 | ||||
Folic acid consumption during pregnancy | ||||
Yes | 12,070 | 23.5 | 1567 | 23.7 |
No | 36,223 | 70.7 | 4707 | 71.1 |
Missing | 175 | 0.3 | 12 | 0.2 |
P = 0.062 |
No statistically significant differences were found between children born at term (gestational age 39 + 0 to 41 + 6) and the post-term born children (42 + 0 to 44 + 6) in risk of physical disabilities or seizures when analyzing the mother’s answers at the 18-month interview and the 7-year questionnaire. An increased risk of psychiatric caseness as evaluated by the SDQ questionnaire was seen in the post-term group (Table 2). When using data from the Danish National Patient Register no statistically significant differences were found for cerebral palsy, psychiatric diagnoses or epilepsy, whereas more in the post-term group got febrile seizures (Table 3). However, for most conditions, apart from epilepsy and psychiatric diagnoses when analyzed on data from the Danish National Patient Register, a tendency towards an increased risk was seen for the post-term group.
Table 2.
Variable | Logistic regression OR |
Adjusted logistic regressiona OR (95% CI) |
n1/N1b | n2/N2c |
---|---|---|---|---|
Developmental deficitd | 1.09 | 1.12 (0.88–1.43) | 542/50,239 | 76/6465 |
Chronic disease or handicap | 1.14 | 1.10 (0.97–1.25) | 1937/50,027 | 278/6424 |
Speech development | 1.12 | 1.11 (0.99–1.25) | 2667/30,619 | 374/3898 |
Late start at school | 1.03 | 0.99 (0.74–1.33) | 383 /30,687 | 52/3905 |
Case-caseness SDQ | 1.18 | 1.14 (1.02–1.28) | 2494/30,750 | 372/3914 |
Epilepsy | 1.09 | 1.14 (0.72–1.80) | 146/29,994 | 21/3826 |
Medication for epilepsy | 1.36 | 1.38(0.80–2.40) | 105/2041 | 16/228 |
Febrile seizures | 1.07 | 1.02 (0.90–1.15) | 2430/43,437 | 323/5574 |
OR Odds ratio calculated by logistic regression analysis
a adjusted for maternal age, parity, pre-pregnancy BMI, child’s sex, and socio-occupational status
b number (n1) of cases amongst children born at term (N1) in adjusted logistic regression analysis
c number (n2) of cases amongst children born post-term (N2) in adjusted logistic regression analysis
d from 18 months interview
Table 3.
Variable | Cox regression HR |
Adjusted cox regressiona HR (95% CI) |
n1/N1b | n2/N2c |
---|---|---|---|---|
Cerebral and other palsies | 1.15 | 1.09 (0.63–1.87) | 106/50,021 | 15/6437 |
Psychiatric diagnoses | 0.52 | 0,51 (0.26–1.00) | 128/50,021 | 9/6437 |
Autism | – | – | 4/51,268 | 0/6616 |
Epilepsy | 0.28 | 0.30 (0.04–2.20) | 28/47,970 | 1/6248 |
Febrile seizures | 1.56 | 1.54 (1.12–2.12) | 226/50,245 | 46/6466 |
HR Hazard ratio calculated by cox regression analysis
a adjusted for maternal age, parity, pre-pregnancy BMI, child’s sex and socio-occupational status
b number (n1) of cases amongst children born at term (N1)
c number (n2) of cases amongst children born post-term (N2)
In a sub-analysis comparing the post-term group (42 + 0–44 + 6) (as exposed) with the late term group (41 + 0–41 + 6) (as reference), we found an increased risk of developmental deficit (OR 1,33; 95%-CI: 1.00–1.77), chronic disease or handicap (OR 1,16; 95%-CI: 1.00–1.35), and psychiatric caseness (OR 1.19; 95%-CI: 1.04–1.36) in interview/questionnaire data from DNBC and a significantly increased risk of febrile seizures (HR 1.60; 95%-CI: 1.09–2.33) using data from the Danish National Patient Register (Tables 4 and 5).
Table 4.
Variable | Logistic regression OR |
Adjusted logistic regressiona OR (95% CI) |
n1/N1b | n2/N2c |
---|---|---|---|---|
Developmental deficitd | 1.31 | 1.33 (1.00–1.77) | 138/15,086 | 76/6465 |
Chronic disease or handicap | 1.21 | 1.16 (1.00–1.35) | 551/15,010 | 278/6424 |
Speech development | 1.14 | 1.12 (0.98–1.28) | 794/9169 | 374/3898 |
Late start at school | 1.06 | 1.00 (0.72–1.40) | 113/9149 | 52/3890 |
Psychiatric caseness SDQ | 1.23 | 1.19 (1.04–1.36) | 725/9204 | 372/3914 |
Epilepsy | 1.09 | 1.17 (0.69–1.99) | 43/8934 | 21/3811 |
Medication for epilepsy | 1.51 | 1.51(0.80–2.87) | 29/610 | 16/228 |
Febrile seizures | 1.05 | 1.00 (0.87–1.14) | 739/13,023 | 323/5574 |
OR Odds ratio calculated by logistic regression analysis
a adjusted for maternal age, parity, pre-pregnancy BMI, child’s sex and socio-occupational status
b number (n1) of cases amongst children born 41 + 0–41 + 6 (N1) in adjusted logistic regression analysis
c number (n2) of cases amongst children born 42 + 0–44 + 6 (N2) in adjusted logistic regression analysis
d from 18 months interview
Table 5.
Variable | Cox regression HR |
Adjusted cox regressiona HR (95% CI) |
n1/N1b | n2/N2c |
---|---|---|---|---|
Cerebral and other palsies | 1.77 | 1.66(0.85–3.22) | 21/14,428 | 15/6219 |
Psychiatric diagnoses | 0.58 | 0,60(0.29–1.25) | 34/15,023 | 9/6437 |
Autism | 1/48 | 0/0 | ||
Epilepsy | 0.29 | 0.29 (0.04–2.29) | 8/12,649 | 1/5495 |
Febrile seizures | 1.59 | 1.60 (1.09–2.33) | 66/15,086 | 46/6466 |
HR Hazard ratio calculated by cox regression analysis
a adjusted for maternal age, parity, pre-pregnancy BMI, child’s sex and socio-occupational status
b number (n1) of cases amongst children born 41 + 0–41 + 6(N1)
c number (n2) of cases amongst children born 42 + 0–44 + 6 (N2)
Discussion
Neurodevelopmental outcome of 51,268 infants born at term and 6616 born post-term were examined using data from DNBC and the Danish National Patient Register. No statistically significant increased risk of physical or mental disabilities was found in post-term born infants as compared to infants born at-term. For most of the conditions examined a tendency towards an increased risk was seen (Tables 2 and 3).
A discrepancy in the results for febrile seizures was found as the mothers up to ten times more often stated that the child had experienced a febrile seizure than that reported in the Danish National Patient Register which may be due to underreporting in the national register (0.5%, 272/56,711) as compared to self-reporting (5.6%, 2753/49,011), as the incidence of febrile seizures in Denmark is approximately 4% [23]. Very few children had psychiatric diagnoses, whereas using the SDQ questionnaire 8.1% in the term group and 9.5% in the post-term group had a score indicating a psychiatric disorder, demonstrating that only the more severe cases had been diagnosed and thus reported to the Danish National Patient Register, whereas the SDQ is a screening for psychiatric and mental challenges covering more aspects of the psychiatric and mental wellbeing of the child.
We compared the outcome of post-term children with that of children born at late term and found a higher risk of adverse outcomes supporting the present recommendation in Denmark for induction of births at gestational age 41 + 3, and thus giving birth before week 42 + 0.
Most women who delivered post-term were healthy and had pregnancies without complications. The effect on the infant of being born post-term could at least in part be due to the increased exposure to the intrauterine environment. Indication for induction in this cohort was a prolonged pregnancy reducing the risk of selection bias and confounding by indication.
The major limitation of the study is in the nature of observational research where unknown confounders may have masked or exaggerated differences, why there is a possibility of residual confounding. Misclassification of gestational age could potentially bias the results in both directions, but it is less likely in this data set with good quality gestational age data.
We had a large study population with close follow up. However, the low incidence of some of the studied outcomes limited our power. On the other hand, the large study-population also revealed even small to moderate differences with limited clinical relevance.
We excluded mothers with chronic diseases as their deliveries were often induced at term and could confound our results. Acute caesareans instituted before the onset of spontaneous labor are mostly due to maternal factors and were therefore censured as were all elective caesareans in order to compare the outcome of infants born spontaneously at term with infants born after pregnancies allowed to progress post-term. The results were adjusted for confounding by known risk factors of post-term delivery [24, 25].
However, ideally an unbiased study on the health consequences for the child of being born post term would require a randomized controlled trial set up. Pregnant women reaching term could be randomized to active or passive follow up. As such a study would hardly be acceptable we study interventions done by clinicians which make us susceptible to ‘confounding by indication’. Those who have their pregnancy induced may have more risk factors than those who are allowed to proceed to become post-term.
The DNBC has previously been shown not to have significant selection bias for severe outcomes [26]. The combination with the Danish National Patient Register furthermore reduced the risk of bias due to differential loss to follow up, which can be a problem in a prospective cohort that does not include an entire population [27].
Information on gestational age was obtained from the Medical Birth Register, and usually based on ultrasound examination. The precision of gestational age after introduction of routine ultrasound scans in Denmark is high, and even the last menstrual period based gestational age is often valid [25]. Routine ultrasound scans were used from the early 1990’ies in case of unreliable last menstrual period, and the frequency of routine ultrasound screening for malformations increased from 40 to 54% from 1989 to 90 to 1994–95, both increasing the validity of the data on gestational age at birth [19].
Interpretation
The analysis of several different variables increased the risk of finding significant associations due to chance and replication studies are thus needed. We found neither statistically significant adverse nor protective long-term effects on the studied outcomes when comparing post-term born children with all children born at term or with children born in week 41. However, both compared to all children born at term and children born in week 41 a non-significant tendency towards an adverse effect was seen for most studied outcomes. This corroborates the findings of a large study on the association between school performance at the age of 16 years and gestational age reporting a decreased performance for children born post-term after week 41 [28], and of a study finding increased intellectual disabilities with increasing gestational age post-term from week 42, an association persisting in a cohort of matched siblings suggesting that they were robust against confounding by shared familial traits [29].
Conclusion
Post-term delivery is considered an independent risk factor for neonatal morbidity [3], but long-term neurodevelopmental consequences have been less well studied. In this large observational study, a tendency to an increased risk of the studied outcomes in post-term children was found following the obstetric practice in Denmark at that time.
Acknowledgements
We thank the Danish National Board of Health for access to data linkage to the Medical Birth Registry and the Danish National Discharge Register.
Abbreviations
- ADHD
Attention deficit hyperactivity disorder
- DNBC
Danish National Birth Cohort
- ICD10
The International Statistical Classification of Diseases and Related Health Problems 10th Revision
- SDQ
Strengths and Difficulties Questionnaire
Authors’ contributions
AHR, AWO, JO and PK: designed the study. AHR, AWO and CSW: did the analyses. AHR, AWO, JO, CO and PK: participated in the interpretation of data. AHR and PK drafted the paper. AHR, AWO, JO, CO, CSW and PK revised it critically, and all approved the final version of the paper.
Funding
The study was supported by Ole Kirk’s Fond, the Department of Pediatrics, and the Department of Gynecology and Obstetrics, Lillebaelt Hospital, Kolding. None of the funders had any role in the design of the study and collection, analysis, and interpretation of data or in writing the manuscript.
Availability of data and materials
The data that support the findings of this study are available from Bedre Sundhed i Generationer (BSIG.dk) but restrictions apply to the availability of these data, which were used under license for the current study, and so are not publicly available. Data are however available from the authors upon reasonable request and with permission of Bedre Sundhed i Generationer (BSIG.dk).
Ethics approval and consent to participate
The study is approved by the Danish Data Protection Agency. The data collection in the Danish National Birth Cohort is approved by the Regional Scientific Ethics Committee for the Municipalities of Copenhagen and Frederiksberg (KF 01–471/94). The participant gave written consent to being included in the Danish National Birth Cohort (www.DNBC.dk) and their data can any time they want be deleted from the study (https://www.bsig.dk/til-deltagerne/udmeldelse).
Consent for publication
Not applicable.
Competing interests
The authors declare that they have no competing interests.
Footnotes
Publisher’s Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Contributor Information
Anne Hald Rolschau, Email: ahrolschau@gmail.com.
Annette Wind Olesen, Email: Annette.Wind.Olesen2@rsyd.dk.
Carsten Obel, Email: co@ph.au.dk.
Jørn Olsen, Email: jo@ph.au.dk.
Chunsen S. Wu, Email: cwu@health.sdu.dk
Poul-Erik Kofoed, Email: poul.erik.kofoed@rsyd.dk.
References
- 1.Shea KM, Wilcox AJ, Little RE. Postterm delivery: a challenge for epidemiologic research. Epidemiology (Cambridge, Mass) 1998;9(2):199–204. doi: 10.1097/00001648-199803000-00014. [DOI] [PubMed] [Google Scholar]
- 2.Olesen AW, Westergaard JG, Olsen J. Perinatal and maternal complications related to postterm delivery: a national register-based study, 1978-1993. Am J Obstet Gynecol. 2003;189(1):222–227. doi: 10.1067/mob.2003.446. [DOI] [PubMed] [Google Scholar]
- 3.Linder N, Hiersch L, Fridman E, et al. Post-term pregnancy is an independent risk factor for neonatal morbidity even in low-risk singleton pregnancies. Arch Dis Child Fetal Neonatal Ed. 2017;102(4):F286–Ff90. doi: 10.1136/archdischild-2015-308553. [DOI] [PubMed] [Google Scholar]
- 4.Seikku L, Gissler M, Andersson S, Rahkonen P, Stefanovic V, Tikkanen M, Paavonen J, Rahkonen L. Asphyxia, Neurologic Morbidity, and Perinatal Mortality in Early-Term and Postterm Birth. Pediatrics. 2016;137(6). 10.1542/peds.2015-3334. PubMed PMID: 27235446. [DOI] [PubMed]
- 5.Vayssiere C, Haumonte JB, Chantry A, et al. Prolonged and post-term pregnancies: guidelines for clinical practice from the French College of Gynecologists and Obstetricians (CNGOF) Eur J Obstet Gynecol Reprod Biol. 2013;169(1):10–16. doi: 10.1016/j.ejogrb.2013.01.026. [DOI] [PubMed] [Google Scholar]
- 6.van Batenburg-Eddes T, de Groot L, Arends L, et al. Does gestational duration within the normal range predict infant neuromotor development? Early Hum Dev. 2008;84(10):659–665. doi: 10.1016/j.earlhumdev.2008.04.007. [DOI] [PubMed] [Google Scholar]
- 7.Moster D, Wilcox AJ, Vollset SE, Markestad T, Lie RT. Cerebral palsy among term and postterm births. Jama. 2010;304(9):976–982. doi: 10.1001/jama.2010.1271. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Yang S, Platt RW, Kramer MS. Variation in child cognitive ability by week of gestation among healthy term births. Am J Epidemiol. 2010;171(4):399–406. doi: 10.1093/aje/kwp413. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.MacKay DF, Smith GC, Dobbie R, Pell JP. Gestational age at delivery and special educational need: retrospective cohort study of 407,503 schoolchildren. PLoS Med. 2010;7(6):e1000289. doi: 10.1371/journal.pmed.1000289. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Lindstrom K, Fernell E, Westgren M. Developmental data in preschool children born after prolonged pregnancy. Acta paediatrica (Oslo, Norway : 1992) 2005;94(9):1192–1197. doi: 10.1111/j.1651-2227.2005.tb02073.x. [DOI] [PubMed] [Google Scholar]
- 11.Glass HC, Pham TN, Danielsen B, Towner D, Glidden D, Wu YW. Antenatal and intrapartum risk factors for seizures in term newborns: a population-based study, California 1998–2002. J Pediatr. 2009;154(1):24–8.e1. doi: 10.1016/j.jpeds.2008.07.008. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Ehrenstein V, Pedersen L, Holsteen V, Larsen H, Rothman KJ, Sorensen HT. Postterm delivery and risk for epilepsy in childhood. Pediatrics. 2007;119(3):e554–e561. doi: 10.1542/peds.2006-1308. [DOI] [PubMed] [Google Scholar]
- 13.Olesen AW, Olsen J, Zhu JL. Developmental milestones in children born post-term in the Danish National Birth Cohort: a main research article. BJOG. 2015;122(10):1331–1339. doi: 10.1111/1471-0528.13237. [DOI] [PubMed] [Google Scholar]
- 14.Zhu JL, Olsen J, Olesen AW. Risk for developmental coordination disorder correlates with gestational age at birth. Paediatr Perinat Epidemiol. 2012;26(6):572–577. doi: 10.1111/j.1365-3016.2012.01316.x. [DOI] [PubMed] [Google Scholar]
- 15.El Marroun H, Zeegers M, Steegers EA, et al. Post-term birth and the risk of behavioural and emotional problems in early childhood. Int J Epidemiol. 2012;41(3):773–781. doi: 10.1093/ije/dys043. [DOI] [PubMed] [Google Scholar]
- 16.Movsas TZ, Paneth N. The effect of gestational age on symptom severity in children with autism spectrum disorder. J Autism Dev Disord. 2012;42(11):2431–2439. doi: 10.1007/s10803-012-1501-4. [DOI] [PubMed] [Google Scholar]
- 17.Gardener H, Spiegelman D, Buka SL. Perinatal and neonatal risk factors for autism: a comprehensive meta-analysis. Pediatrics. 2011;128(2):344–355. doi: 10.1542/peds.2010-1036. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Olsen J, Melbye M, Olsen SF, et al. The Danish National Birth Cohort--its background, structure and aim. Scand J Public Health. 2001;29(4):300–307. doi: 10.1177/14034948010290040201. [DOI] [PubMed] [Google Scholar]
- 19.Jorgensen FS. Epidemiological studies of obstetric ultrasound examinations in Denmark 1989-1990 versus 1994-1995. Acta Obstet Gynecol Scand. 1999;78(4):305–309. doi: 10.1080/j.1600-0412.1999.780406.x. [DOI] [PubMed] [Google Scholar]
- 20.Goodman R. The extended version of the strengths and difficulties questionnaire as a guide to child psychiatric caseness and consequent burden. J Child Psychol Psychiatry, Allied Discip. 1999;40(5):791–799. [PubMed] [Google Scholar]
- 21.Goodman A, Lamping DL, Ploubidis GB. When to use broader internalising and externalising subscales instead of the hypothesised five subscales on the strengths and difficulties questionnaire (SDQ): data from British parents, teachers and children. J Abnorm Child Psychol. 2010;38(8):1179–1191. doi: 10.1007/s10802-010-9434-x. [DOI] [PubMed] [Google Scholar]
- 22.Schoemaker MM, Flapper B, Verheij NP, Wilson BN, Reinders-Messelink HA, de Kloet A. Evaluation of the developmental coordination disorder questionnaire as a screening instrument. Dev Med Child Neurol. 2006;48(8):668–673. doi: 10.1017/S001216220600140X. [DOI] [PubMed] [Google Scholar]
- 23.Vestergaard M, Christensen J. Register-based studies on febrile seizures in Denmark. Brain and Development. 2009;31:372–377. doi: 10.1016/j.braindev.2008.11.012. [DOI] [PubMed] [Google Scholar]
- 24.Roos N, Sahlin L, Ekman-Ordeberg G, Kieler H, Stephansson O. Maternal risk factors for postterm pregnancy and cesarean delivery following labor induction. Acta Obstet Gynecol Scand. 2010;89(8):1003–1010. doi: 10.3109/00016349.2010.500009. [DOI] [PubMed] [Google Scholar]
- 25.Olesen AW, Westergaard JG, Olsen J. Prenatal risk indicators of a prolonged pregnancy. The Danish birth cohort 1998-2001. Acta Obstet Gynecol Scand. 2006;85(11):1338–1341. doi: 10.1080/00016340600935508. [DOI] [PubMed] [Google Scholar]
- 26.Nohr EA, Frydenberg M, Henriksen TB, Olsen J. Does low participation in cohort studies induce bias? Epidemiology (Cambridge, Mass) 2006;17(4):413–418. doi: 10.1097/01.ede.0000220549.14177.60. [DOI] [PubMed] [Google Scholar]
- 27.Greene N, Greenland S, Olsen J, Nohr EA. Estimating bias from loss to follow-up in the Danish National Birth Cohort. Epidemiology (Cambridge, Mass) 2011;22(6):815–822. doi: 10.1097/EDE.0b013e31822939fd. [DOI] [PubMed] [Google Scholar]
- 28.Abel K, Heuvelman H, Wicks S, et al. Gestational age at birth and academic performance: population-based cohort study. Int J Epidemiol. 2017;46(1):324–335. doi: 10.1093/ije/dyw284. [DOI] [PubMed] [Google Scholar]
- 29.Heuvelman H, Abel K, Wicks S, Gardner R, Johnstone E, Lee B, Magnusson C, Dalman C, Rai D. Gestational age at birth and risk of intellectual disability without a common genetic cause. Eur J Epidemiol. 2018;33(7):667–78. [DOI] [PMC free article] [PubMed]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
The data that support the findings of this study are available from Bedre Sundhed i Generationer (BSIG.dk) but restrictions apply to the availability of these data, which were used under license for the current study, and so are not publicly available. Data are however available from the authors upon reasonable request and with permission of Bedre Sundhed i Generationer (BSIG.dk).