الثلاثاء، 28 أغسطس 2012

Risk of preterm birth after treatment for cervical intraepithelial neoplasia among women attending colposcopy in England: retrospective-prospective cohort study

Risk of preterm birth after treatment for cervical intraepithelial neoplasia among women attending colposcopy in England: retrospective-prospective cohort study | BMJ

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Research Risk of preterm birth after treatment for cervical intraepithelial neoplasia among women attending colposcopy in England: retrospective-prospective cohort study BMJ 2012; 345 doi: 10.1136/bmj.e5174 (Published 17 August 2012) Cite this as: BMJ 2012;345:e5174 Article Related content Read responses (1) Article metrics Alejandra Castanon, epidemiologist1, Peter Brocklehurst, professor of women’s health2, Heather Evans, consultant obstetrics and gynaecology3, Donald Peebles, professor of maternal and fetal medicine2, Naveena Singh, consultant histopathologist4, Patrick Walker, consultant obstetrics and gynaecology3, Julietta Patnick, director5, Peter Sasieni, professor of cancer epidemiology and biostatistics1 for the PaCT Study Group
1Centre for Cancer Prevention, Wolfson Institute of Preventive Medicine, Queen Mary University of London, London EC1M 6BQ, UK
2Institute for Women’s Health UCL, London, UK
3Department of Gynaecology, Royal Free Hampstead NHS Trust, London, UK
4Division of Cellular Pathology, Barts Health NHS Trust, London
5NHS Cancer Screening Programmes, Sheffield, UKCorrespondence to: P Sasieni p.sasieni{at}qmul.ac.ukAccepted 23 July 2012AbstractObjective To explore the association between preterm delivery and treatment at colposcopy.

Design Retrospective-prospective cohort study using record linkage.

Setting 12 National Health Service hospitals in England.

Participants Women who had a cervical histology sample taken between 1987 and 2009. These women were linked by hospital episode statistics to hospital obstetric records between 1998 and 2009 for the whole of England to identify singleton live births between 20-43 gestational weeks before or after cervical histology.

Main outcome measures Proportion of preterm births (<37 weeks); the relative risk for the strength of association between preterm births and treatment for cervical intraepithelial neoplasia.

Results 18?441 singleton births occurred: 4176 before histology and 14?265 after histology. Of the singleton births after histology, 9.0% (n=1284) were preterm compared with 6.7% of all births in England over the same period (excess risk 2.3 per 100 births, 95% confidence interval 1.8% to 2.8%). Among first births after histology, the adjusted relative risk associated with previous treatment was 1.19 (95% confidence interval 1.01 to 1.41); among first births before histology the relative risk associated with subsequent treatment was 1.47 (1.05 to 2.05). Combining these, the relative risk associated with treatment adjusted for timing relative to histology was 0.91 (0.66 to 1.26) corresponding to an absolute difference of -0.25 (-2.61 to 2.11) per 100 singleton births. Among 372 women who gave birth both before and after treatment, there were 30 preterm births after treatment and 32 before treatment (relative risk 0.94, 0.62 to 1.43).

Conclusion The risk of preterm delivery in women treated by colposcopy in England was substantially less than that in many other studies, predominantly from Nordic countries. The increased risk may be a consequence of confounding and not caused by treatment. Although this study is reassuring for large loop excision of the transformation zone overall, it is possible that deep conisation or repeated treatment leads to an increased risk of preterm delivery.

IntroductionScreening for cervical cancer aims to detect and treat cancer precursors (cervical intraepithelial neoplasia) before progression to invasive cancer. Women with abnormal cytology are referred to colposcopy for further assessment. In the United Kingdom, most of these women will either have no procedure (and be discharged) or have a punch biopsy sample taken at their first colposcopy appointment to confirm the presence or absence of disease, whereas others (particularly those with high grade cytological abnormalities) may be offered excisional treatment at the first visit.1 Those with a histological sample showing high grade cervical intraepithelial neoplasia are commonly treated by large loop excision of the transformation zone (LLETZ). Other less common types of fertility preserving treatment include laser conisation, cold knife excision, cold coagulation, and other ablative treatments.2

In recent years several studies have linked treatment for cervical intraepithelial neoplasia with a higher risk of subsequent preterm delivery (before 37 completed weeks of gestation). Preterm infants are associated with substantial emotional and economic costs to their families and communities and have a disproportionate impact on health service utilisation. In 2006 a widely cited meta-analysis of 27 included studies found that large loop excision of the transformation zone was associated with preterm delivery, low birth weight, and preterm premature rupture of membranes.3 Since then several studies have been published on this subject. The largest to date, a Norwegian record linkage study of 57?136 births before treatment and 15?108 after treatment, found the proportion of preterm deliveries in each group, respectively, to be 6.7% and 17.2%.4 Few studies are from the United Kingdom and those that are tend to be generally small5 6 7 8 9 and do not confirm the strong association between treatment and subsequent preterm delivery found elsewhere. Colposcopy and treatment of cervical intraepithelial neoplasia in England is quality assured by the National Health Service cervical screening programme and self regulated by the British Society for Colposcopy and Cervical Pathology.10 It is possible that the results reported internationally are not representative of large loop excision of the transformation zone as carried out by specially trained colposcopists working to detailed clinical guidelines.

We explored the association between preterm delivery and treatment at colposcopy by comparing three populations: external (population of England), internal (within the cohort), and within individual women. We reasoned that although excisional treatment might result in a subsequent preterm delivery, punch biopsy is too small to have such a causal role. Furthermore, by definition treatment cannot affect the outcome of a birth that occurred before that treatment. In our analyses we adjusted for any increased risk associated with a history of cervical intraepithelial neoplasia and focused on the association with the treatment itself.

MethodsWe identified women from clinical records in 12 NHS hospitals as having had a cervical histology sample taken (by a punch biopsy at colposcopy or excisional treatment, or both) between January 1987 and December 2009. Hospitals included in the study responded to an invitation for participation in a letter posted on the British Society for Colposcopy and Cervical Pathology website and sent to the hospitals’ mailing lists. A prerequisite for participation was that the units had over 350 new referrals a year and support from their local research and development office. Of units that expressed an interest we selected the largest (>550 new referrals a year) in each region of the country to ensure representation from all of England. Three selected units could not obtain local ethical approval in time and we substituted these with others in regions already represented in the study and one with fewer than 300 referrals a year.

For each woman, we obtained the date of the first and last histological sample recorded in the clinic and requested the most severe procedure (that is, whether it was a punch biopsy or material from excisional treatment) carried out at these visits. Thus we split our cohort into three groups: women with a punch biopsy, women with excisional treatment, and women with a record of cervical histology but missing treatment status. We followed these women prospectively (through retrospective linkage) for gestational age of subsequent births, and retrospectively for gestational age of previous births.

To identify live births whether before or after the histological sample had been obtained, we linked women by their NHS number and date of birth to hospital episode statistics of inpatient obstetric records between April 1998 and April 2010 for the whole of England. The NHS number is a unique identifier issued when a birth is registered or when an individual first registers with an NHS general practitioner. Hospital episode statistics is a data warehouse containing details of all admissions to NHS hospitals in England, including private patients treated in NHS hospitals.11 From hospital episode statistics records we obtained information on month and year of delivery, gestational age, birth weight, onset of delivery, mode of delivery, resuscitation method, number of previous pregnancies, duration of stay in hospital, and any inpatient diagnosis or operation recorded for the mother.

National comparisonTo obtain the proportion of preterm deliveries in the population for the study period we extracted and pooled NHS maternity statistics12 (published by hospital episode statistics) from 2000-01 to 2009-10. We were unable to find data before April 2000 and would have considered age standardised proportions, but the published reports of gestational age by maternal age did not separate singleton from multiple births as we have done here.13

We considered only births with a known gestational age and that were between 20 and 43 weeks. As best practice indicates that pregnancies should not exceed the 42nd gestational week, we excluded infants born at gestational ages greater than 43 weeks to avoid any inaccuracies of gestational ages over 43 weeks. Because of concerns over accuracy we also excluded births with a recorded gestational age under 20 weeks (599 nationally and 16 in our cohort). We excluded multiple births (twins and triplets). The same exclusions applied to the NHS maternity statistics.

To avoid having to adjust for clustering of preterm deliveries within individuals we limited the internal analysis to the first pregnancy recorded in our cohort data during the 11 year period between 1998 and 2010. We also excluded antepartum stillbirths or stillbirths of indeterminate timing (n=216) on the basis that we could not establish whether preterm delivery was induced as a result of the death of the fetus or vice versa. Supplementary table A1 shows the distribution of births in the cohort by parity, whether the mother was treated before or after delivery, and type of treatment received.

Statistical analysisTo obtain relative risks and 95% confidence intervals for the difference in proportions of births that were preterm compared with those that were term, we used relative risk regression (an alternative to logistic regression for cohort studies) using the glm command in Stata. We adjusted the relative risks for maternal age at delivery (<25, 25-34, >34), parity (0, 1, 2, =3), and study site. To determine parity in the cohort we used the number of previous pregnancies recorded by hospital episode statistics, except where a birth was found in the dataset that was not reflected in the parity field. For completeness we also report the results of risk differences, also estimated using the glm command in Stata. P values cited are for the Pearson’s ?2 test for the difference between proportions or for the likelihood ratio test in other situations.

We compared singleton births using three groups. The first groups (external comparisons) were relative to NHS maternity statistics for the whole of England. In the external comparisons we compared all births in the cohort, all births after histology, and births after treatment with all births in England. For the internal comparisons we considered only first births in the dataset and compared (a) births after histology with those before histology, and births after treatment with each of (b) births before treatment, (c) births after histology in untreated women, and (d) births before histology in untreated women adjusting for disease history. The within woman comparison was between the last birth before colposcopy and the first after colposcopy in a given woman. We considered all women with births both before and after colposcopy and the subset of treated women. We also considered the ratio of the after to before effect in treated women relative to the effect in untreated women (that is, with biopsy only). The confidence interval for the women with biopsy only was obtained by treating the two relative risks (within treated women and within untreated women) as independent. In the within woman analyses we did not adjust for parity or maternal age. For dealing with the question of the effect of treatment on preterm delivery, we considered the most relevant analyses to be for the external comparison, births after treatment; for the internal comparison, births after treatment compared with births before histology adjusting for disease history; and for the within woman comparison, all treated women with births before and after treatment.

The risk ratio comparing births after treatment with births before histology adjusting for disease history is obtained from the interaction term (1 for post-treatment, 0 otherwise) in a generalised linear model with an effect for treatment (1 for treated or subsequently treated, 0 otherwise) and an effect for timing (1 for post-histology, 0 otherwise). In the absence of other adjustments, it is simply the ratio of the relative risks of preterm delivery in (a) births after treatment compared with births after biopsy only to (b) births before treatment compared with birth before biopsy only.

For comparison with published meta-analyses, we added our study to those in the published meta-analysis of 27 included studies to determine whether it differed significantly (taking into account the heterogeneity in earlier studies) using the metareg command in Stata. All analyses were done in Stata 11 (release 11.2. College Station, Texas).

ResultsParticipating hospitalsOn average, the 12 participating clinics were similar to the other 215 clinics in England for published data on colposcopy (see supplementary table A2). With one exception, the mean value of each data item in participating clinics was within the interquartile range of the other clinics. The one exception was the proportion of biopsy results reported within eight weeks, which was 83% in the study clinics but at least 86% in 75% of other clinics nationally. The clinics included in this study accounted for 8.5% of all patients having new colposcopy in England in 2005-06.1

CohortA total of 44?210 NHS numbers of women with data on cervical histology were submitted for linkage to hospital episode statistics, 81.3% (35?958 women) had at least one hospital admission between 1998 and 2009 and 46.8% (16?816/35?958) of those with a record had at least one birth recorded. A total of 26?897 births (in 16?816 women) were identified (fig 1?). Of these, 18?441 were singleton births with known gestational age between 20 and 43 gestational weeks, of which 1616 were preterm (20-36 weeks) and 471 were very preterm (20-32 weeks). Table 1? presents the proportion of births by maternal age at delivery, parity, timing relative to colposcopy, and procedure at colposcopy.

View larger version:In a new windowDownload as PowerPoint SlideFig 1 Flow of women through study

View this table:View PopupView InlineTable 1 Proportion of births by maternal age at delivery, parity, timing relative to colposcopy, and procedure at colposcopy

External comparison (population based)The average preterm delivery rate in England between 2000 and 2010 was 6.7% (34?153/510?660, fig 2?). The preterm rate varied from 6.9% in 2000 to 5.9% in 2009, with a minimum of 5.9% in 2009 and a maximum of 7.6% in 2004. Overall, the observed preterm rate in our cohort was 8.8% (1616/18?441), yielding an excess risk of preterm delivery of 2.08 per 100 singleton births (95% confidence interval 1.66% to 2.49%; P<0.001) and a relative risk of 1.31 (95% confidence interval 1.25 to 1.37) compared with the general population. The proportion of births after cervical histology that were preterm was 9.0% (1284/14?265), giving an excess risk of 2.31 per 100 births (1.84% to 2.79%) and a relative risk of 1.35 (1.28 to 1.42) compared with the general population. Similar results were observed for deliveries after treatment (9.4%, 449/4776, table 2?). This relative risk (1.41, 1.29 to 1.54) was significantly (P=0.03, even after allowing for heterogeneity in the meta-analysis) lower than the comparable result in a meta-analysis (1.97, 1.78 to 2.17).14 The proportion of preterm births after histology, however, varied widely by hospital (fig 2) from 6.2% (161/2608, Wirral University Teaching Hospital) to 15.6% (33/212, St Mary’s Hospital, Imperial College) (?211=66.07, P<0.001).

View larger version:In a new windowDownload as PowerPoint SlideFig 2 Proportion of preterm deliveries after colposcopy by study centre, overall, and compared with England

View this table:View PopupView InlineTable 2 Summary of analyses and results

Internal comparisonFor comparisons within the cohort only the first birth recorded in the dataset was included for each woman, and antepartum stillbirths and stillbirths of indeterminate timing were excluded. This left 12?937 births of which 1099 (8.5%) were preterm. Overall, 52.6% (n=578) of these preterm births had a gestational age of 35-36 weeks, 19.3% (n=212) at 33-34 weeks, 17.5% (n=192) at 29-32, and 10.6% (n=171) at 20-28 weeks. The mean maternal age at first recorded delivery (n=12?937) was 31 (interquartile range 27-34) years.

Among singleton births delivered after cervical histology, 8.9% (832/9368) were preterm compared with 7.5% (267/3569) of those delivered before the date of histology (table 2). The increase in risk of preterm delivery (adjusted by study site, parity, and maternal age at delivery) was significant (adjusted relative risk 1.32, 95% confidence interval 1.13 to 1.53). Figure 3? plots the relative risks for all 12 study sites: there was no evidence of heterogeneity between sites (?211=11.574, P=0.40).

View larger version:In a new windowDownload as PowerPoint SlideFig 3 Relative risk of preterm birth in women with a birth after compared with before colposcopy

The type of sample taken at colposcopy was recorded for 80.6% of births in the cohort (10?423 singleton births) including 77.8% (n=855) of preterm deliveries. Of those that had a delivery after colposcopy, the risk of preterm delivery in women who had a treatment was 9.1% (283/3095) compared with 8.3% (396/4770) in women who had a punch biopsy only (adjusted relative risk 1.19, 1.01 to 1.41). The absolute increased risk of preterm delivery after treatment when compared with a biopsy only adjusted for study site, parity, and maternal age was 1.5 per 100 births (0.1% to 2.9%).

The relative risks for treated versus punch biopsy were similar for births before the histological sample was taken (table 3?). Of births before histology, 7.8% (81/1045) of those in women who were subsequently treated were preterm compared with 6.3% (95/1513) in women who subsequently had a punch biopsy and no treatment (adjusted relative risk 1.31, 0.97 to 1.76, table 3). Thus the risk ratio comparing births after treatment with births before histology adjusting for disease history was 0.91 (95% confidence interval 0.66 to 1.26).

View this table:View PopupView InlineTable 3 Adjusted relative risks for association between cervical histology and preterm delivery

The proportion of births that were under 33 gestational weeks (see supplementary table A3) in those women who had a histology sample taken before birth was 2.8% (243/8779) compared with 2.0% (66/3368) in women who had a histology sample taken after birth (adjusted relative risk 1.60, 1.18 to 2.18). The adjusted relative risk in births after colposcopy comparing treatment with biopsy only was 1.23 (0.89 to 1.69). Further adjustment for disease history yielded a relative risk for delivery under 33 weeks of 0.81 (0.43 to 1.52).

Since the analysis was limited to the first recorded birth in each woman, the risk ratio (treated versus punch biopsy) was also examined and was different in second or subsequent births after colposcopy compared with first births after colposcopy. The adjusted relative risk for treatment in second and subsequent births after colposcopy was non-significantly (P=0.39) greater than for first births after colposcopy, but similar to that of the last birth before colposcopy (see supplementary table A4).

Within womanAn analysis was carried out restricted to women who had a birth both before and after a colposcopy (within woman comparison, table 2). For each woman the last birth before treatment and the first birth after treatment was only included. This left 1078 women. There were 80 (7.4%) preterm births before colposcopy and 98 (9.1%) after colposcopy (relative risk 1.23, 95% confidence interval 0.95 to 1.59, P=0.15). In 372 women with births both before and after treatment, there were 30 preterm births after treatment and 32 before treatment (the relative risk of preterm birth after treatment was 0.94, 0.62 to 1.43). In 501 women with births both before and after punch biopsy, the relative risk of preterm birth after a punch biopsy was 1.14 (0.77 to 1.66). The ratio of the risk ratios (of preterm birth after:before colposcopy) for treated compared with untreated (biopsy only) women was 0.82 (0.27 to 3.17, see supplementary table A5).

Since in general the risk of a preterm birth is greater in a first birth than in a second birth (8.8% v 7.6% in the study cohort, table 1), and given that most women who gave birth both before and after colposcopy had exactly one birth before colposcopy (so that that second births were compared with first births), the relative risk will have been underestimated. However, in women with at least two births the risk of preterm on first birth was less (8.1%), yielding a relative risk of 0.98 (0.85 to 1.13) for second birth compared with first birth in women with at least two births.

DiscussionIn this study of 18?441 singleton deliveries in women who had a cervical biopsy sample taken during colposcopy in England, the additional risk of a preterm birth over that in the general population was 2.1 per 100 singleton births, yielding a relative risk of 1.31. Comparing births in women within the cohort (table 2), the relative risk in women who previously had treatment (conisation, large loop excision of the transformation zone, loop excision) compared with those who only had a biopsy was 1.19. However, the relative risk of preterm delivery in women before colposcopy comparing those who subsequently had treatment with those who subsequently only had a biopsy was also greater than 1 (1.33). Consequently the risk ratio comparing births after treatment with births before histology adjusting for disease history was less than 1, with an upper limit of the 95% confidence interval of 1.26. Furthermore, in 372 women who gave birth both before and after treatment for cervical intraepithelial neoplasia, the number of births that were preterm was fewer after treatment than before (30 v 32).

Strengths and limitations of the studyIn considering causality in the absence of a randomised controlled trial, we took into account confounding by risk modifying factors and the temporality of cause and effect. We allowed for the possibility of general confounding: factors (such as smoking or ethnicity) that might predispose a woman to both abnormal cervical cytology and preterm births; confounding by disease severity—the possibility that factors (such as immune suppression) that make it more likely for a woman to have high grade disease (and be treated by cone excision) will also make her more likely to have a preterm birth; and disease causing prematurity—that the disease in itself (or factors that lead to its presentation) rather than its treatment makes a woman more likely to have a preterm birth. In our analyses we attempted to take into account all three possible sources of confounding. The first analyses included all singleton births in the cohort to ease comparison with published population statistics. Although we present the risk of preterm birth for both the whole cohort and births after treatment, we did not adjust for possible confounding. The internal analysis eliminates general confounding because all women by definition have had colposcopy. To exclude confounding by disease severity, we considered women with treatment and compared births after treatment with those before treatment. To exclude confounding owing to disease causing preterm delivery, we compared births after treatment with those after biopsy only. To take account of both disease severity and temporality, we calculated the ratio of these relative risks. This ratio was less than 1, suggesting that the associations observed in the other analyses could all result from confounding. Finally we took births before and after colposcopy in the same woman. Such an analysis is complicated by changing parity and maternal age, but the relative risk after treatment was less than 1. Additionally, the post-colposcopy relative risk in treated women was less than that in women who only had a punch biopsy (see supplementary table A5) suggesting that confounding has not artificially reduced the relative risk of treatment. However, for 19.4% of women we do not know the type of procedure carried out at colposcopy. This could have an important impact on the estimates comparing treated with untreated women if, for instance, those with an unknown procedure were more likely both to be treated and to subsequently have a preterm birth. This problem will be further investigated in phase 2 of this study (a nested case-control study).

The results in this paper depend on the quality of birth data submitted by participating clinics (NHS trusts) to hospital episode statistics. The proportion of preterm births will also be affected by the population served by the clinic. For example, Whipps Cross Hospital serves a community with a high proportion of ethnic minority groups, whereas St Mary’s Hospital is a referral centre for high risk pregnancies from across London.

There is also a question as to how representative the colposcopy units in this study are of colposcopy done across England. The 12 participating units included both teaching and non-teaching hospitals but were primarily self selected. We therefore investigated the extent to which they seemed to be representative of all colposcopy clinics in England on the basis of published data. Comparing nationally collected statistics from the clinics in this study with the other (n=215) clinics in England showed that in terms of these statistics, the clinics in this study were not atypical of the rest of the country. Colposcopy clinics in England are audited every three years, as are all colposcopists to maintain their membership with the British Society for Colposcopy and Cervical Pathology. Thus the standard of colposcopy in England is likely to be more homogeneous than in many countries. Even if treatment in smaller centres resulted in a greater risk of preterm delivery, we believe that this study (with 8.5% of all new patients in England) is representative of most colposcopy in England.

We tried to minimise biases in this study by restricting the analysis to the first live singleton birth recorded for each women and by adjusting the relative risk by study centre. Additionally, the design of the study avoided recall and selection bias. However, we had no information on risk modifying factors such as ethnicity or smoking, nor did we have any detailed information on treatment received at colposcopy.

Comparison with other studiesThis is the largest study of preterm delivery in women with cytological abnormalities in the United Kingdom. A meta-analysis including 30 cohort studies in total found that the type of comparison group was important in determining the relative risk of preterm delivery.14 When the comparison group was external (such as the general population) the relative risk of preterm delivery was 1.97 (95% confidence interval 1.78 to 2.17). Similarly, when the comparison group was internal (comparing births after treatment with those before treatment), the relative risk was 1.96 (1.46 to 2.64). However, when the analysis was carried out within a cohort of women with cytological abnormalities comparing treated with untreated women, the relative risk was 1.25 (0.98 to 1.58). Three studies from Nordic countries obtained relative risks between 1.8 and 2.8 (all except one not included in the meta-analysis). Of the excluded studies, a large study from Norway found a relative risk of 2.13 (95% confidence interval 2.06 to 2.20) comparing (all not just singleton) births after treatment with births before treatment, but reported a declining relative risk during the study period.4 The absolute risk was 17.2% (in 15?108 births after treatment). Our preterm risk in treated women is clearly less. A study from Denmark had a relative risk of 2.8 (95% confidence interval 2.3 to 3.5) compared with an external control group.15 The same study also provided a within woman odds ratio of 2.8 (95% confidence interval 1.0 to10.0) as did a study from Finland (1.8, 95% confidence interval 1.04 to 3.21).16

The relative risk of preterm delivery after treatment observed in this study compared with the population as a whole is substantially (and significantly) less than that found in the studies included in the Bruinsma meta-analysis.14 Additionally, our internal analyses tend not to support the hypothesis that treatment increases the risk of preterm delivery, by a factor of about 1.7 to 2.0; the analysis that adjusts for both the timing of the delivery relative to colposcopy and whether there was treatment or just a punch biopsy gives a relative risk of 0.91 (95% confidence interval 0.66 to 1.26) for births subsequent to treatment.

Several studies have suggested that it is the amount of tissue removed from the cervix that produces the excess risk, not the procedure itself.17 18 19 It is possible that owing to the quality assurance of the colposcopy programme in England through both the cervical screening programme and the British Society for Colposcopy and Cervical Pathology, tissue removed during colposcopy is kept to a minimum and this could explain the smaller relative risks that we observed. This might be particularly relevant in the self selected colposcopy units in this study. We are currently undergoing phase 2 of this study in which we will attempt to obtain detailed colposcopy and pathology information on all women with a preterm delivery and a sample of women with a term delivery in this cohort. In particular, we are recording the measurements of the tissue excised and whether the woman was treated more than once. It seems likely that removal or destruction of a large amount of tissue may increase the risk of subsequent preterm delivery more than is seen on average.

Conclusions and policy implicationsThe results presented here are encouraging. Accepting the limitations of this study, women treated within the NHS cervical screening programme and particularly those treated in large colposcopy units should be reassured that, in this study of 44?000 women having colposcopy including 14?265 singleton births after colposcopy, the risk of a birth being preterm was 9.0% and only slightly greater than the risk in the general population. Phase 2 of this study should strengthen the results presented here and provide information on the risk associated with the depth of cervical tissue removed.

What is already known on this topicMost studies of preterm delivery after large loop excision of the transformation zone found that treatment was associated with increased risk

An influential meta-analysis (27 studies) found a relative risk of 1.70 (95% confidence interval 1.24 to 2.35)

Subsequent large studies from Nordic countries estimated the relative risk to be between 1.8 and 2.8

What this study addsAfter adjusting for confounding, the increased risk of preterm delivery in births after treatment for cervical intraepithelial neoplasia ceases to exist

There is only a small chance (2.5%) that the risk of preterm delivery is increased by more than 3.5 per 100 births in women treated in England

The relative risk here is significantly less than reported previously possibly because colposcopy treatment is quality assured

NotesCite this as: BMJ 2012;345:e5174

FootnotesMembers of the PaCT Study Group were responsible for the collection of data included in this study. N Gul and A Miles (Wirral University Teaching Hospital), A Hollingworth and R Wuntakal (Whipps Cross University Hospital London), N Singh and A Parberry (Barts and the London NHS Trust), J Palmer (Royal Hallamshire Hospital, Sheffield), N Das and L Russ (Royal Cornwall Hospital), N Wood and S Preston (Royal Preston Hospital Lancashire), M Hannemann and D Fuller (Royal Devon and Exeter NHS Foundation Trust), K Lincoln and P Rolland (The James Cook University Hospital, South Tees), S Ghaem-Maghami and P Soutter (Hammersmith Hospital, Imperial College), R Hutson (St James University Hospital, Leeds), P Senguita and J Dent (North Durham County and Darlington Trust), and D Lyons (St Mary’s Hospital, Imperial College).

Contributors: PS analysed the data and designed the database. He is the guarantor of the study and therefore accepts full responsibility for the work and the conduct of the study, had access to the data, and controlled the decision to publish. AC collated and analysed the data. All authors designed and established the study, wrote the paper, and approved the final version.

Funding: This manuscript presents independent research funded by the National Institute for Health Research (NIHR) under its research for patient benefit programme (No PB-PG-1208-16187). The views expressed are those of the authors and not necessarily those of the National Health Service, the NIHR, or the Department of Health.

Competing interests: All authors have completed the ICMJE uniform disclosure form at www.icmje.org/coi_disclosure.pdf (available on request from the corresponding author) and declare: no financial relationships with any organisations that might have an interest in the submitted work in the previous three years; and no other relationships or activities that could appear to have influenced the submitted work.

Ethical approval: This study was approved by the Brompton, Harefield, and NHLI research ethics committee, Charing Cross Hospital, London (No 09/H0708/65).

Data sharing: The statistical code is available from the corresponding author at p.sasieni{at}qmul.ac.uk.

This is an open-access article distributed under the terms of the Creative Commons Attribution Non-commercial License, which permits use, distribution, and reproduction in any medium, provided the original work is properly cited, the use is non commercial and is otherwise in compliance with the license. See: http://creativecommons.org/licenses/by-nc/2.0/ and http://creativecommons.org/licenses/by-nc/2.0/legalcode.

References?Lancucki L, ed. Cervical screening programme, England: 2005-06. NHS Information Centre, 2006. ?Luesley DLS, ed. NHS cervical screening programme. Colposcopy and programme management. Guidelines for the NHS cervical screening programme. NHS Information Centre, 2004.?Kyrgiou M, Koliopoulos G, Martin-Hirsch PL, Arbyn M, Prendiville W. Obstetric outcome after conservative treatment for intraepithelial or early invasive cervical lesions: systematic review and meta-analysis. Lancet2006;367:489-98.OpenUrlCrossRefMedlineWeb of Science?Albrechtsen S, Rasmussen S, Thoresen S, Irgens LM, Iversen OE. Pregnancy outcome in women before and after cervical conisation: population based cohort study. BMJ2008;337:a1343.OpenUrlFREE Full Text?Reilly R, Paranjothy S, Beer H, Brooks C, Fielder H, Lyons R. Birth outcomes following treatment for precancerous changes to the cervix: a population-based record linkage study. BJOG2012;119:236-44.OpenUrlCrossRefMedline?Cruickshank M, Flannelly G, Campbell DM. Fertility and pregnancy outcome following large loop excision of the cervical transformation zone. Br J Obstet Gynaecol1995;102:467-70.OpenUrlMedlineWeb of Science?Shanbhag S, Clark H, Timmaraju V, Bhattacharya S, Cruickshank M. Pregnancy outcome after treatment for cervical intraepithelial neoplasia. Obstet Gynecol2009;114:727-35.OpenUrlCrossRefMedlineWeb of Science?Haffenden DK, Bigrigg A, Codling BW, Read MD. Pregnancy following large loop excision of the transformation zone. Br J Obstet Gynaecol1993;100:1059-60.OpenUrlMedlineWeb of Science?Tan L, Pepera E, Haloob RK. The outcome of pregnancy after large loop excision of the transformation zone of the cervix. J Obstet Gynaecol2004;24:25-7.OpenUrlCrossRefMedline?British Society for Colposcopy and Cervical Pathology. Constitution. BSCCP, 1975.?HES Online. What is HES? 2005-2007. 2011. www.hesonline.nhs.uk/Ease/servlet/ContentServer?siteID=1937&categoryID=456>.?NHS Information Centre. NHS maternity statistics, 2000-2010. 2010. www.ic.nhs.uk/pubs.?Office for National Statistics. Gestation-specific infant mortality in England and Wales, 2009. www.ons.gov.uk/ons/rel/child-health/gestation-specific-infant-mortality-in-england-and-wales/2009/index.html.?Bruinsma FJ, Quinn MA. The risk of preterm birth following treatment for precancerous changes in the cervix: a systematic review and meta-analysis. BJOG2011;118:1031-41.OpenUrlCrossRefMedline?Ortoft G, Henriksen T, Hansen E, Petersen L. After conisation of the cervix, the perinatal mortality as a result of preterm delivery increases in subsequent pregnancy. BJOG2010;117:258-67.OpenUrlCrossRefMedline?Jakobsson M, Gissler M, Paavonen J, Tapper AM. Loop electrosurgical excision procedure and the risk for preterm birth. Obstet Gynecol2009;114:504-10.OpenUrlCrossRefMedlineWeb of Science?Noehr B, Jensen A, Frederiksen K, Tabor A, Kjaer SK. Loop electrosurgical excision of the cervix and subsequent risk for spontaneous preterm delivery: a population-based study of singleton deliveries during a 9-year period. Am J Obstet Gynecol2009;201:33,e1-6.OpenUrlMedline?Acharya G, Kjeldberg I, Hansen SM, Sorheim N, Jacobsen BK, Maltau JM. Pregnancy outcome after loop electrosurgical excision procedure for the management of cervical intraepithelial neoplasia. Arch Gynecol Obstet2005;272:109-12.OpenUrlCrossRefMedline?Sadler L, Saftlas A, Wang W, Exeter M, Whittaker J, McCowan L. Treatment for cervical intraepithelial neoplasia and risk of preterm delivery. 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The health and development of children born to older mothers in the United Kingdom: observational study using longitudinal cohort data

The health and development of children born to older mothers in the United Kingdom: observational study using longitudinal cohort data | BMJ

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Research The health and development of children born to older mothers in the United Kingdom: observational study using longitudinal cohort data BMJ 2012; 345 doi: 10.1136/bmj.e5116 (Published 21 August 2012) Cite this as: BMJ 2012;345:e5116 Immunology (including allergy) Dentistry and oral medicine Developmental paediatrics Epidemiologic studies More topics

Infectious diseases Fewer topics

Article Related content Article metrics Alastair G Sutcliffe, reader in child health1, Jacqueline Barnes, professor of psychology2, Jay Belsky, professor of human development23, Julian Gardiner, senior researcher in statistics2, Edward Melhuish, professor of human development2
1Institute of Child Health, University College London, UK
2Institute for the Study of Children, Families and Social Issues, Birkbeck, University of London, London WC1E 7HX, UK
3University of California, Davis, CA, USACorrespondence to: E Melhuish e.melhuish{at}bbk.ac.ukAccepted 11 July 2012AbstractObjective To assess relations between children’s health and development and maternal age.

Design Observational study of longitudinal cohorts.

Setting Millennium Cohort Study (a random sample of UK children) and the National Evaluation of Sure Start study (a random sample of children in deprived areas in England), 2001 to 2007.

Participants 31?257 children at age 9 months, 24?781 children at age 3 years, and 22?504 at age 5 years.

Main outcome measures Childhood unintentional injuries and hospital admissions (aged 9 months, 3 years, and 5 years), immunisations (aged 9 months and 3 years), body mass index, language development, and difficulties with social development (aged 3 and 5 years).

Results Associations were independent of personal and family characteristics and parity. The risk of children having unintentional injuries requiring medical attention or being admitted to hospital both declined with increasing maternal age. For example, at three years the risk of unintentional injuries declined from 36.6% for mothers aged 20 to 28.6% for mothers aged 40 and hospital admissions declined, respectively, from 27.1% to 21.6%. Immunisation rates at nine months increased with maternal age from 94.6% for mothers aged 20 to 98.1% for mothers aged 40. At three years, immunisation rates reached a maximum, at 81.3% for mothers aged 27, being lower for younger and older mothers. This was linked to rates for the combined measles, mumps, and rubella immunisation because excluding these resulted in no significant relation with maternal age. An increase in overweight children at ages 3 and 5 years associated with increasing maternal age was eliminated once maternal body mass index was included as a covariate. Language development was associated with improvements with increasing maternal age, with scores for children of mothers aged 20 being lower than those of children of mothers aged 40 by 0.21 to 0.22 standard deviations at ages 3 and 4 years. There were fewer social and emotional difficulties associated with increasing maternal age. Children of teenage mothers had more difficulties than children of mothers aged 40 (difference 0.28 SD at age 3 and 0.16 SD at age 5).

Conclusion Increasing maternal age was associated with improved health and development for children up to 5 years of age.

IntroductionIn developed countries the trend towards later childbearing has been strong.1 2 3 In England and Wales the number of births to women aged 40 or more trebled from 1989 to 2009, when it reached 26?976 births.4 Similar patterns exist in almost all developed countries. In New Zealand, for example, the rate of births to women aged 35 or more almost doubled between 1995 and 2010.5 Similarly, in the United States between 1990 and 2004 birth rates increased by 43% in women aged 35-39, by 62% in women aged 40-44, and by more than 150% in women aged 45.6 Established risks associated with older maternal age include preterm labour, fetal malformation, fetal death, and increased risk of maternal cardiometabolic disease.3 Given the substantial and rapid increase in older motherhood and the known medical risks, it is important to determine whether, and how, older motherhood is linked to child health and development beyond the fetal stage. Although research documenting the deleterious consequences of young motherhood on children’s development is substantial,7 8 9 10 11 evidence of any effects, deleterious or beneficial, of older motherhood on offspring is lacking,1 perhaps owing to the recency of the trend in delayed childbearing.

The few studies on the effects of older parenthood on offspring reported mixed results. In an investigation of maternal age and extremely low birth weight live births (n=14?671 children), infants born to mothers aged 40 or older were 22% more likely to survive and had a 13% decreased risk of neurodevelopmental impairment or death compared with those of mothers aged less than 20.3 In another study (n=33?437 children), advanced paternal age predicted increased externalising behaviour (that is, aggression, disobedience) and poorer cognitive ability, whereas the opposite was true of advanced maternal age.12 Advanced paternal and maternal age predicted poorer social functioning among Israeli male adolescents (n=403?486),13 and schizophrenia and autistic behaviours were more common among the children of older fathers and mothers.14 15 As there is little evidence that evaluates relations between older motherhood and children’s health and development beyond birth and the postnatal period, we tested hypotheses that maternal age would show relations with children’s health and development independent of personal and background characteristics.

MethodsThe study sample consisted of children aged 9 months, 3 years, and 5 years from the Millennium Cohort Study16 and from the National Evaluation of Sure Start study.17 Eligible children for the Millennium Cohort Study were all children in England born over a period of 16 months from September 2000 and living in the 398 wards. The random sample was clustered geographically by electoral ward with some oversampling to ensure adequate representation of wards with a high number of ethnic minority populations (=30% black or Asian populations in 1991 census), and disadvantaged areas from the poorest 25% of wards based on the child poverty index,18 which is based on the proportion of children in families receiving means tested benefits. Overall there were 188 advantaged wards (not in poorest 25%), 191 disadvantaged wards, and 19 wards with a high proportion of ethnic minority families. Children were sampled from the government’s child benefit records. Child benefit is a universal provision, payable to mothers from the birth of their children. The take-up of child benefit exceeds 97%. Apart from the possibility of eligible families being too rich or too ill informed to claim, most of the children not claimed for were ineligible as the children of non-nationals with temporary or unconfirmed residence status, such as foreign armed forces, overseas students, and recent immigrants, including asylum seekers. The attained sample at nine months was 18?552 children and families (response rate 70%). Of these, 14?898 (80.3% retention rate) were seen again when the children were aged 3 and 14?678 (79.1% retention rate) when the children were aged 5. Additional children and families were recruited at three years to give 15?590 at age 3 and 15?246 at age 5.19

The sample from the National Evaluation of Sure Start study was selected from areas in England chosen to receive a Sure Start local programme, all in the 20% most disadvantaged areas defined by the child poverty index—that is, all were from disadvantaged areas.18 From children born in 200 randomly chosen Sure Start areas during 29 months from January 2002, we chose a random sample of 12?705 infants aged 9 months (response rate 84.0%), again using the child benefit records as a sampling frame. Of those seen at this age, 11?118 children and families were randomly selected to be followed-up when the child was aged 3 years, 9191 (82.7%) of whom participated in data collection at the 3 years age point. When the children were aged 5 years we randomly selected to be followed-up 8000 of the children and families seen when the children were aged 3; data were collected from 7258 (response rate 90.7%). We applied no exclusion criteria except to include in analyses only the first born child when multiple births occurred. The total sample consisted of 31?257 infants aged 9 months (18?552 from the Millennium Cohort Study and 12?705 from the National Evaluation of Sure Start), 24?781 3 year olds (15?590 from the Millennium Cohort Study and 9191 from the National Evaluation of Sure Start), and 22?504 5 year olds (15?246 from the Millennium Cohort Study and 7258 from the National Evaluation of Sure Start study). In both studies we included all mothers and children. The age range of mothers was between 13 and 57 years.

OutcomesWe chose the child outcomes because they have been used as indicators of child wellbeing in reports from the World Health Organization,20 applied to the total population, were likely to predict later health and development, and were reliably measured by parental report or researcher. Outcomes collected by parental report were social difficulties experienced by the children, using the strengths and difficulties questionnaire21; unintentional injuries requiring medical treatment (from nurse, general practitioner, hospital, or medical clinic) in the past year; admissions to hospital in the past year; and receipt of all recommended immunisations since the previous interview. The recommended immunisations (all free under the National Health Service) in terms of the age points in the studies were: three doses of vaccines against diphtheria, tetanus, pertussis, polio, and haemophilus influenzae type b (hib) at 9 months of age, and by 3 years of age boosters for diphtheria, tetanus, pertussis, and polio and vaccinations against measles, mumps, and rubella (typically delivered as a combined vaccine), hepatitis B, meningitis C, and pneumococcal infection. An additional immunisation outcome was included at three years, defined as complete immunisations, excluding combined measles, mumps, and rubella. Data on uptake of immunisations were obtained only from the Millennium Cohort Study. To calculate the children’s body mass index a researcher measured their weight and height at ages 3 and 5 during home visits. Data on the unintentional injury and hospital admission outcomes were available at all three ages. In addition, researchers assessed language development at ages 3 and 5 using the British ability scales naming vocabulary subscale.22

We coordinated data collection across both studies, with researchers trained in common and similar procedures used to ensure collection of comparable information so that data could be combined across the studies. At each age point the parents were interviewed at home and the children measured. Personal and background information collected by parental report served as control variables in analyses.

Statistical analysisWe analysed three continuous outcomes in the children: body mass index (range 6.7-63.6), naming vocabulary score (range 20-80, higher being better) from the British ability scales,22 and social difficulties score (range 0-34, lower being better) from the strengths and difficulties questionnaire.21 The four binary outcomes chosen were unintentional injury since the last survey, admission to hospital since the last survey, in receipt of all recommended immunisations, and overweight. We defined being overweight using reference data on body mass index from the US Centers for Disease Control and Prevention23 as being above the 85th percentile for the children’s sex and age. To model the continuous variables we used linear terms in the regression models.

Since both samples were geographically clustered we used linear mixed effects models for the continuous outcomes and logistic regression mixed effects models for the binary outcomes, with a random effect fitted for clustering in all models. The principal independent variable was maternal age at the children’s birth, treated as a continuous variable.

Regression models were fitted with the following covariates: children’s sex, children’s age, number of siblings, parity, birth weight, breast fed for at least six weeks, ethnic group, raised by single parent, paternal age, raised in workless household, family income, mother’s educational attainment, and mother’s social class (defined by regular occupation). Paternal age was grouped into 10 bands of about equal size: (<22.5 years, 22.5 to <25, 25 to <27, 27 to <29, 29 to <31, 31 to <33, 33 to <35, 35 to <37.5, 37.5 to 40, and >40); we included the father being absent as an additional category. We selected the covariates a priori to avoid any confounding of maternal age effects on outcomes. Models of the children’s body mass index and overweight were also controlled for mother’s body mass index. The covariates did not show high colinearity; only maternal and paternal age (0.66) and worklessness and income (0.57) were above 0.5.

Depending on the outcome, between 78.7% and 93.7% of children had complete data on all variables. For most variables less than 10% of data was missing, with 10% exceeded only by mother’s body mass index (nine months, three years, and five years), paternal age (five years), child’s body mass index, overweight, naming vocabulary, and social difficulties score (three years). The greatest amount of missing data was for social difficulties score at three years, at 22.8%. We used the Amelia II package to impute missing data,24 with all covariate and outcome variables used in the imputations. Five imputations were generated and models fitted to each imputed dataset. Model results were consolidated using Rubin’s rules,25 with degrees of freedom ascertained using Hesterberg,26 equation 24.

We selected a linear or polynomial model for maternal age. To achieve this we fitted an initial linear model then added higher order terms successively until the highest order term was no longer statistically significant, at which point we adopted the previous model as the final one. The final adjusted models were linear or quadratic for maternal age. To investigate possible confounding between maternal age and first time motherhood, we fitted additional models that included an interaction between first time motherhood and maternal age. No such interactions were significant and are not discussed further.

Models were fitted in R 2.11.1. We used the linear mixed effects procedure to fit the linear mixed effects models and the generalised linear mixed models penalised quasilikelihood procedure27 to fit the logistic regression mixed effects models. We undertook analyses for the Millennium Cohort Study and the National Evaluation of Sure Start samples separately and for the combined total sample. As results were broadly similar in all cases, we present the results for the combined sample.

ResultsModelsTable 1? shows the characteristics of the sample, table 2? the raw outcome data tabulated by maternal age categories, and table 3? the results of the final adjusted and unadjusted models. The figure? shows the results of the adjusted models for outcomes showing statistically significant relations with maternal age.

View this table:View PopupView InlineTable 1 Descriptive statistics of participants. Values are numbers (percentages) unless stated otherwise

View this table:View PopupView InlineTable 2 Data for child outcomes stratified by maternal age. Values are numbers (percentages) of children unless stated otherwise

View this table:View PopupView InlineTable 3 Results from final models

View larger version:In a new windowDownload as PowerPoint SlideAdjusted models showing regression lines with 95% confidence intervals for outcomes by maternal age. Unintentional injury in children (quadratic model, 3 years), admission to hospital (linear models), complete immunisation (quadratic models, 9 months and 3 years), British ability scales naming vocabulary score (quadratic models), and total score on strengths and difficulties questionnaire (quadratic model, 3 years). Model coefficients, per 5 years of maternal age, are given with P values. Quadratic models are parameterised so that the coefficient for the linear component of maternal age (ß 1) gives the model slope at maternal age 30. MMR=measles, mumps, and rubella immunisation; BAS=British ability scales

Unintentional injuriesThe risk of unintentional injuries declined with increasing maternal age, with the final models for children aged 9 months, 3 years, and 5 years being linear, quadratic, and linear, respectively (figure).

At nine months the risk of unintentional injuries declined across maternal age, with the risk in children of mothers aged 20 being 9.5%, decreasing to 6.1% for mothers aged 40. The model is quadratic for 3 year olds, showing a decline from 36.6% for mothers aged 20 to 28.6% for mothers aged 40.5 (where the curve reaches a minimum). The model is linear for 5 year olds, with risk decreasing from 29.1% for mothers aged 20 to 24.9% for mothers aged 40.

Admissions to hospitalThe risk of children being admitted to hospital also declined with increasing maternal age, with the final models being linear in all cases (figure).

At nine month, the probability of children being admitted to hospital declined from 16.0% when mothers were aged 20 to 10.7% when mothers were aged 40. For 3 year olds, the probability declined from 27.1% when mothers were aged 20 to 21.6% when mothers were 40. For 5 year olds, the change in hospital admissions with increasing maternal age was not statistically significant.

ImmunisationsThe final models of complete immunisation rates by maternal age for 9 month olds and 3 year olds were quadratic (figure).

At nine months the rate of complete immunisation increased with maternal age, from 94.6% when mothers were aged 20 to 98.1% when mothers were 40. At three years the maximum rate of complete immunisations was 81.3% when mothers were aged 27.3, with lower rates among younger and older mothers. Complete immunisations at three years, excluding combined measles, mumps, and rubella immunisation were also considered; the final model was linear, with no significant relation between immunisation rate and maternal age, indicating that non-linear effects are linked to take-up of the combined measles, mumps, and rubella immunisation.

Children’s body mass index and overweightInitial models showed a significant positive association between the children’s body mass index and maternal age. However, once maternal body mass index was controlled for, no significant association with maternal age was found for either children’s body mass index or children’s overweight (table 2).

Language development (British ability scales naming vocabulary)The final models of naming vocabulary score in relation to maternal age were quadratic, with scores increasing as maternal age increased (figure). At three years, the score for children of mothers aged 20 was 0.22 standard deviations below that for the children of mothers aged 40. At five years, the value for children of mothers aged 20 was 0.21 standard deviations below that for the children of mothers aged 40.

Social and emotional difficultiesThe final models for the strengths and difficulties total problem score in relation to maternal age were quadratic at three years and linear at five years, with scores decreasing as maternal age increased, indicating better social development (figure). At three years, the score for children of mothers aged 20 was 0.28 standard deviations higher than for children of mothers aged 40, and at five years, the corresponding difference was 0.16 standard deviations.

DiscussionIncreasing maternal age was associated with children having fewer hospital admissions and unintentional injuries, a greater likelihood of having had all of their immunisations by 9 months of age, better language, and fewer social and emotional difficulties. Such findings contrast with the known obstetric risks associated with older motherhood1 2 3 and serve as a counterpoint to evidence highlighting poorer health and developmental outcomes for children of younger mothers (<20 years).7 8 9 10 11 The positive findings in relation to increasing maternal age were generally consistent with the few other studies on children of older mothers, often defined as 40 years or older, which focused on other issues such as neurodevelopment, educational achievement, substance misuse, and juvenile crime12 rather than, as here, general health and development, both cognitive-linguistic and socio-emotional. There are, however, exceptions in the literature to the conclusion that older motherhood carries few risks for child functioning. One study of Israeli male adolescents showed poorer social and emotional functioning in association with both teenage mothers and mothers aged 40 or older at their child’s birth (relative to other mothers).13 Older mothers tend to be better educated, have higher family income, and be married, all factors associated with greater child wellbeing.7 28 Analyses controlled for these and other personal factors. Hence the results are indicative of associations with maternal age rather than covarying characteristics, or at least those included in this research. Also noteworthy in this study was the inclusion of children living in deprived neighbourhoods and experiencing high levels of family deprivation, as well as children representative of the general population, to increase the likelihood of identifying any adverse impacts. The fact that results were broadly similar for all outcomes when the analyses were undertaken separately for the population representative Millennium Cohort Study sample and the deprived National Evaluation of Sure Start sample indicates that these results are likely to be applicable across the spectrum of deprivation.

The only health related outcome revealing any adverse relation with childbearing in older age was immunisation uptake by age 3 years, which declined with maternal age after age 33. This could have been a historical artifact, related to parental anxiety regarding now discredited claims linking the combined measles, mumps, and rubella with autism,29 which were prevalent in the media around the time of the birth and early years of the children studied here. It is possible that older mothers were more influenced by the media reports. Further analyses of immunisations excluding the combined measles, mumps, and rubella immunisation supported this interpretation as they revealed no relations between maternal age and uptake of all other immunisations.

The likelihood of a child being overweight increased with increasing maternal age, but not when maternal body mass index was controlled for, indicating that this result was explained by greater maternal body mass index in older mothers, rather than by maternal age in itself. Nevertheless, this association is one that should be of concern for health practitioners.

Strengths and limitations of the studyThis study has all the limitations of observational studies in attributing causality but does provide evidence relevant to an important clinical topic. Also, all covariates and some child outcomes apart from the children’s weight and height and naming vocabulary measurements were based on parental report; the fact that the data were collected in an optimal manner by direct parental interview with highly trained interviewers would seem to obviate somewhat the limitation. Although some child health information could have been extracted from medical records, that method also has pitfalls for data completeness and comparability. Error in measurement is always possible, but the measures taken were the best available and we have no reason to assume systematic mis-measurement, and if measurement error is not systematically related to a variable then measurement error decreases the likelihood of significant results. Inevitably some attrition occurred as the children aged and families withdrew or became non-contactable, but the attrition rates compare favourably with other longitudinal studies. Also, analyses were carried out in two ways, using only complete cases and using multiple imputation to include the full sample to deal with this issue. These two sets of analyses did not differ substantially. The initial hypotheses were tentative for the direction of effects owing to limited published evidence on the health of children born to older mothers. Finally, there was a shortfall in information on paternal age, as a significant proportion of children were living separately from their father. None the less, the large dataset, the representativeness of the samples, the powerful nature of the children’s outcomes, and the fact that data were collected originally for a different purpose improved the likelihood of the findings being valid. Also the fact that results were similar for all outcomes for separate analyses of the population representative Millennium Cohort Study sample and the deprived National Evaluation of Sure Start sample indicates that these results are likely to be applicable to the whole population and across the spectrum of deprivation.

ConclusionIn contrast with the obstetric risks known to be associated with older motherhood these results indicate that increasing maternal age was associated with children having fewer hospital admissions and unintentional injuries, a greater likelihood of better protection from ill health through completed immunisations by age 9 months, better language development, and fewer social and emotional difficulties. The findings are noteworthy given the continuing increase in mean age of childbearing. It will be important to continue to examine relations between child outcomes and maternal age to see if the situation changes as the children age, and to explore possible mediating and moderating factors for the relations associated with maternal age. Possible mechanisms for the observed relations between child outcomes and maternal age might be environmental, such as differences in parenting, or genetic, as found for paternal age where the longer fathers and grandfathers waited to have children, the more likely it was for their offspring to live longer and healthier lives. This seemed to be due to longer telomeres of older fathers’ sperm, related to increased longevity and development, being inherited by offspring.30 Further research should explore possible mechanisms. Finally, the results of this study are relevant to concerns raised about older people seeking to use fertility treatments and possible risks posed to children delivered by older mothers.31

What is already known on this topicEstablished risks associated with older maternal age (=40 years) include preterm labour, fetal malformation, fetal death, and increased risk of maternal cardiometabolic disease

Evidence related to child health and development beyond the immediate postnatal period is lacking for the children of older mothers

There is an increased risk of deleterious consequences for children’s health and development associated with young motherhood

What this study addsIncreasing maternal age was associated with several beneficial effects on children

Children had fewer hospital admissions and unintentional injuries, a greater likelihood of being fully immunised by age 9 months, better language, and fewer social and emotional difficulties

NotesCite this as: BMJ 2012;345:e5116

FootnotesWe thank the families and their children for their cooperation throughout both projects.

Contributors: All authors helped to plan the research, and took part in the writing of the final article. JG undertook the statistical analyses, supervised by EM. EM had full access to all the data in the study and takes complete responsibility for the integrity of the data and the accuracy of the data analysis.

Funding: This research was funded by the Wellcome Trust through a grant entitled “Health of children born to older mothers”; the funding body had no involvement in the design and conduct of the study; collection, management, analysis, and interpretation of the data; and preparation, review, or approval of the manuscript. All authors are independent of the funding agency.

Competing interests: All authors have completed the ICMJE uniform disclosure form at www.icmje.org/coi_disclosure.pdf (available on request from the corresponding author) and declare: no support from any organisation for the submitted work; no financial relationships with any organisations that might have an interest in the submitted work in the previous three years; and no other relationships or activities that could appear to have influenced the submitted work.

Ethical approval: This study was approved for both studies by the National Health Service South West multicentre research ethics committee (reference No MREC/01/6/65). Participants in both studies gave written informed consent.

Data sharing: The data from the Millennium Cohort Study and the National Evaluation of Sure Start study are available from the Economic and Social Data Service (www.esds.ac.uk/).

This is an open-access article distributed under the terms of the Creative Commons Attribution Non-commercial License, which permits use, distribution, and reproduction in any medium, provided the original work is properly cited, the use is non commercial and is otherwise in compliance with the license. See: http://creativecommons.org/licenses/by-nc/2.0/ and http://creativecommons.org/licenses/by-nc/2.0/legalcode.

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