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Extremely preterm birth and autistic traits in young adulthood: the EPICure study

Abstract

Background

A high prevalence of autism spectrum disorder is reported in children born extremely preterm (EP), but an even larger proportion of survivors are affected by subclinical difficulties than meet diagnostic criteria. The aims of this study were to investigate autistic traits associated with the broader autism phenotype in a cohort of young adults born EP, and explore how these traits relate to emotion recognition, empathy and autism symptom presentation in childhood. The prevalence of autism diagnoses was also investigated.

Methods

One hundred and twenty-nine young adults born before 26 weeks of gestation and 65 term-born controls participated in the 19-year follow-up phase of the EPICure studies. In addition to a clinical interview, participants completed the Broader Autism Phenotype Questionnaire (BAPQ), the Empathy Quotient questionnaire, and the Frankfurt Test and Training of Facial Affect Recognition. The Social Communication Questionnaire (SCQ) was completed by the participants’ parents at age 11 years.

Results

EP born young adults scored significantly higher on the BAPQ in comparison with their term-born peers, indicating greater autistic traits. Among EP participants, BAPQ scores were correlated with SCQ scores in childhood (r = 0.484, p < 0.001). EP young adults had significantly lower scores in emotion recognition and empathy in comparison with controls; however, this effect was mediated by IQ. At 19 years, a diagnosis of autism was reported by 10% of EP participants versus 1.6% of controls, whereas 31% of EP participants scored above the cut-off for the broader autism phenotype in comparison with 8.5% of term-born controls.

Limitations

The high attrition of EP participants from lower socio-economic backgrounds and with lower cognitive functioning may have led to an underrepresentation of those presenting with difficulties associated with autism.

Conclusions

A larger proportion of EP survivors are affected by difficulties associated with autism than have confirmed diagnoses, with a moderate correlation between autism symptom scores in childhood and autistic traits in young adulthood. EP young adults had significantly higher autism symptom scores and a larger proportion had a diagnosis of autism than controls. Screening for autistic traits at set points throughout childhood will help identify those EP individuals at risk of social difficulties who may benefit from intervention.

Background

Children born preterm have a higher risk of autism spectrum disorder (hereafter referred to as autism) [1, 2], with risk increasing with decreasing gestational age [3, 4]. The prevalence of autism following birth before 32 weeks gestation is approximately 7–8% [1, 3, 5, 6], while the prevalence in the general population is estimated between 1 and 2% [7]. Biological and environmental factors, such as structural brain changes and negative social experiences [8, 9] due to socio-emotional vulnerability, are proposed to underlie the association between preterm birth and psychopathology, including autism [10, 11].

Johnson et al. [1] examined antecedent risk factors for the diagnosis of autism in the EPICure cohort of extremely preterm (EP; < 26 weeks’ gestation) births. Withdrawn behaviour at 2.5 years of age and cognitive impairment and peer relationship problems at 6 years of age were significant predictors of an autism diagnosis at age 11 years in EP born children; with 8% of this cohort assigned an autism diagnosis. EP born children also had higher autism symptoms scores compared to their term-born peers on a parent screening questionnaire, and 16% of EP children screened positive for autism. Based on this finding, the authors proposed that a greater number of EP children are affected by social and communication difficulties than the small number of EP children that have a diagnosis of autism, but that these difficulties fall outside the diagnostic threshold [1]. This study is in keeping with other research reporting significantly higher autism symptom scores in preterm/low birth weight cohorts versus term-born controls [12,13,14]. Whether children born EP continue to present with increased symptoms of autism in adulthood or whether those with subclinical symptoms in childhood subsequently meet diagnostic criteria as social complexities increase over adolescence is unknown.

Deficits in social communication and interaction, and restrictive and repetitive behaviours and interests are the core defining features of autism spectrum disorder [15]. The broader autism phenotype (BAP), which is proposed to be a milder presentation of these core features of autism but which fall below the diagnostic threshold, describes the subclinical autistic traits commonly observed in unaffected relatives of autistic individuals [16]. Given the proposal by Johnson et al. [1] that a greater proportion of EP children are affected by subclinical difficulties associated with autism than meet the diagnostic criteria, the BAP profile may be well suited to capturing these subclinical autistic traits observed in EP populations. A study by Eryigit-Madzwamuse et al. [17] reported higher BAP scores in their adult cohort born very preterm (< 32 weeks’ gestation)/very low birth weight (< 1500 g) in comparison with term-born controls. However, to the authors’ knowledge, no prior studies have investigated autistic traits based on BAP features in an EP population.

Two related models of autism, the extreme male brain theory [18] and theory of mind [19], propose that deficits in social interaction and communication, a core defining characteristic of autism, may stem from difficulties in the recognition and understanding of emotions and mental states in others. In line with this, previous studies have reported impairment in emotion recognition [20, 21] and lower self-reported empathy [20, 22] in autistic adults in comparison with controls. Lower empathy [20] and decreased emotion recognition performance [23] are also suggested to be a feature of BAP; however, lower empathy has only been reported in fathers of autistic children [20] and other studies have not reported any difference in emotion recognition between BAP and control participants [20, 21]. Lower empathy competence [24] and increased emotion recognition deficits [25, 26] have also been reported in preterm groups, and these difficulties may be related to the increased autistic traits observed in preterm populations; however, we are unaware of any studies that have examined the association between emotion recognition, empathy and autistic traits in a preterm population.

The aims of the present study were to: (1) investigate if EP young adults present with greater autistic traits compared to term-born controls; (2) determine whether autistic traits in adulthood are correlated with autism symptom scores in childhood; (3) examine between-group differences in emotion recognition and empathy abilities and whether these are related to concurrent autistic symptoms.

Methods

Participants

In 1995, all infants born less than 26 weeks’ gestation in the UK and Ireland were invited to participate in the EPICure studies. Follow-up assessments were carried out at 2.5, 6 and 11 years of age [27,28,29]. Of 306 EP survivors at 19 years of age, 129 (42%) participated in the 19-year follow-up (male = 61; mean age = 19.3). Sixty-five out of 153 (42%) control participants were also followed up at 19 years (male = 25; mean age = 19.2). Control participants were term-born classmates of the EP participants; selection and recruitment are detailed elsewhere [28, 29]. The EP and control participants not assessed at 19 years had either declined participation or did not respond to study invitations. See Table 1 for characteristics of study completers and non-completers.

Table 1 Sample characteristics of extremely preterm participants and term-born controls assessed and not assessed at 19 years of age

Procedure

The psychological assessments at 19 years of age were conducted by the lead author at University College Hospital London as part of a two day medical and psychological investigation. Eleven participants were assessed at home due to personal travel constraints. Participants gave written informed consent to take part. For those participants unable to provide informed consent due to intellectual disability, consent was obtained from a parent or guardian. SES was based on parent occupation [30] and classified as (1) higher managerial, administrative and professional occupation; (2) intermediate occupation; (3) routine and manual occupation; (4) never worked/long-term unemployed (> 1 year), student or unclassifiable due to missing info. The South Central—Hampshire A Research Ethics Committee granted ethical approval for the study (Reference: 13/SC/0514). Although designed as an experimenter blind study, group allocation was inadvertently disclosed during the course of the assessment for the majority of participants.

Assessment measures at 19 years of age

Participants completed two questionnaires investigating autistic traits: the Broader Autism Phenotype Questionnaire (BAPQ) [16] and the Empathy Quotient (EQ) [22]. The BAPQ was designed to measure the milder subclinical personality and language characteristics associated with autism spectrum disorder seen in the non-autistic relatives of individuals with autism [16]. It produces three subscale scores; aloof personality, rigid personality and pragmatic language, as well as a total score. All scales range from 1 to 6, with higher scores indicating greater autistic traits. Cut-off scores were derived from Sasson et al. [31]; males with a total score ≥ 3.55 and females with a total score ≥ 3.17 were considered to present with subclinical autistic traits (BAP).

The Empathy Quotient (EQ) questionnaire was used to measure empathy. Scores range from 0 to 80 with higher scores indicating greater empathy. Previous research has shown that adults with autism have lower EQ scores compared to control adults, and scores are negatively correlated with autism symptoms [22]. A cut-off score of ≤ 30 was applied in this study to define deficits in empathy seen in 81% of the autism sample investigated [22]. In addition, a clinical interview was carried out as part of the 19-year follow-up assessment; participants and/or their guardian were asked by the examiner if they had ever received a diagnosis of autism or any neurodevelopmental or psychiatric disorder.

The Frankfurt Test and Training of Facial Affect Recognition 2nd Edition (FEFA-2) [32] is a computer based assessment tool of emotion recognition abilities. This emotion recognition task was administered on a laptop computer. A total emotion recognition score and a recognition score for each individual emotion (happy, sad, angry, surprised, disgusted, fearful and neutral) were automatically generated by the programme. Scores range from 0–1, with higher scores indicating greater emotion recognition abilities. Emotion recognition impairment was defined as a total score > 2 standard deviations (SD) below the mean of term-born controls.

General cognitive functioning (IQ) was assessed using the Wechsler Abbreviated Scale of Intelligence 2nd Edition (WASI-II) [33], which estimates a Full Scale IQ score (FSIQ) with a mean of 100 and SD of 15.

Assessment measures at 11 years of age

Parents completed the Social Communication Questionnaires (SCQ) [34] at the 11-year follow-up, a screening questionnaire for autism. Total scores range from 0 to 39, with higher scores indicating greater symptoms. A cut-off of ≥ 15 is used for identifying significant symptoms of autism. The parents also completed the Development and Well-Being Assessment (DAWBA) [35], a semi-structured diagnostic interview from which participants were assigned a diagnosis of autism.

Statistical analyses

Stata 15.1 [36] was used for statistical analysis. Mean scores and SDs were calculated for each of the above measures for EP participants and term-born controls. Effect sizes were calculated using Cohen’s d with a large effect size classified as ≥ 0.8. Unadjusted and adjusted mean differences between groups and their 95% confidence intervals (CI) were estimated using linear regression models. Lower cognitive functioning and a higher rate of intellectual disability are frequently reported in studies of outcomes following preterm birth [37,38,39]. Given this consistent finding, adjusted analyses are presented with and without IQ as a covariate to explore the impact of IQ on the outcomes investigated. Odds ratios (ORs) for rates of impairment across all measures for EP participants compared to term-born controls were estimated using binary logistic regression models. The relationships between IQ scores and BAPQ scores were explored using correlation analyses. The relationships between EQ, BAPQ and FEFA-2 scores after adjusting for IQ were analysed using partial correlation analyses. Bonferroni correction was used to adjust for multiple comparisons. McNemar Chi-square test was used to examine any difference in the proportion of EP participants with a diagnosis of autism between the 11-year and the 19-year follow-ups.

Sample size was calculated in G*Power [40] in order to investigate the difference in mean BAPQ scores between EP and control participants. A minimum of 34 participants per group was required, with a power of 90%, a significance level of 5% and a large effect size of 0.8, based on the SCQ group means and SDs from the 11-year follow-up [1]. A post hoc power analysis was also carried out, and a power of 99.9% was reported.

Multiple imputation was applied for the main outcome variable, the BAPQ, to adjust for missing data and selective attrition in the EP group. Missing data were imputed by chained equations using the STATA “MI” procedure. Imputation model variables included both those potentially predicting non-response and/or outcomes in EP populations (sex, birth weight, gestational age in decimal weeks, ethnicity, SES at 11 years and 19 years, neurodevelopmental disability at 11 years and 19 years, IQ scores at 11 years and 19 years, mean SCQ total score at 11 years and BAPQ scores at 19 years). Imputation models were based on the missing at random assumption and twenty imputed datasets. We imputed missing values for EP participants who were assessed at 11 years (N = 219).

Results

Loss to follow-up

Sample characteristics and loss to follow-up analyses are provided in Table 1. There were no significant differences between EP and control participants at 19 years in age, sex or SES (p > 0.05, Table 1). EP participants had significantly lower IQ scores at both 11 and 19 years compared to controls. EP participants assessed at 19 years had significantly higher IQ scores and higher parent SES compared to EP participants not assessed; however, there was no difference between EP young adults assessed and not assessed in the number diagnosed with autism or in mean SCQ total score at 11 years.

Autistic traits in early adulthood

At the 19-year follow-up, EP participants had significantly higher mean BAPQ total score and BAPQ subscale scores than term-born controls, with medium to large effect sizes (Table 2), indicating greater autistic traits. This difference remained significant after adjustment for age, sex, SES and IQ, but not after Bonferroni correction for multiple comparisons. Multiple imputation was performed as a sensitivity analysis to account for missing BAPQ data for EP participants, see supplemental data Additional file 1: Table S4. 31.2% of EP participants and 8.5% of term-born controls exceeded the BAPQ total score cut-off (adjusted OR 4.87; 95% CI 1.67, 14.15; significant after Bonferroni correction). The percentage of term-born controls that were classified as presenting with BAP characteristics (8.5%) is comparable to the rate found in a community based sample of adults reported by Sasson and colleagues [29]. Based on clinical interview at 19 years, 9.8% (12/123) of EP participants reported ever having a diagnosis of autism compared to 1.6% (1/64) of controls.

Table 2 Scores on measures of autistic traits, empathy and emotion recognition abilities in EP young adults and term-born controls

Empathy & emotion recognition outcomes

EP participants scored significantly lower than controls on the EQ and the FEFA-2 total score, indicating greater difficulty in empathy and emotion recognition. These results remained significant after adjustment for sex, age and SES, but not when IQ was added as a covariate (Table 2; see Additional file 2: Table S5 for FEFA-2 recognition scores across individual emotions). EQ score was negatively correlated with BAPQ total score for both groups (EP r = − 0.688, p < 0.001; Term r = − 0.511, p < 0.001) and positively correlated with FEFA-2 total score for EP participants only (EP r = 0.331, p < 0.001; Term r = 0.006, p = 0.965). BAPQ total score was negatively correlated with FEFA-2 total score for EP participants only (EP r = − 0.261, p = 0.006; Term r = − 0.044, p = 0.744). However, when the above analyses were repeated with partial correlations adjusting for IQ, only the correlation between EQ and BAPQ scores remained significant for both groups (see Additional file 3: Table S6). EP participants had significantly higher risk of empathy deficits (EQ score ≤ 30) and impairment in overall emotion recognition compared with controls (Table 3).

Table 3 Rates of impairment on measures of autistic traits, empathy and emotion recognition in EP young adults & term-born controls

Autism symptomology from childhood to adulthood

There was a significant correlation between SCQ total score at 11 years and BAPQ total score at 19 years for EP participants only (EP N = 91, r = 0.484, p < 0.001; Term N = 53, r = 0.241, p < 0.082), indicating a moderate association between autism symptom scores in childhood and autistic traits in early adulthood. Of 110 EP participants with diagnostic data at both 11 and 19 years, 8.2% had a diagnosis of autism at 11 years compared to 10.9% at 19 years (McNemar Chi-square test: \({x}^{2}\)=0.317, p = 0.508). No term-born controls received a diagnosis of autism at 11 years.

There was a significant negative correlation between FSIQ score on the WASI-II and BAPQ total score among EP participants, with increasing autistic traits associated with decreasing IQ (r = − 0.263, p = 0.006). Defining cognitive impairment as a FSIQ score less than 70, we found no significant difference in the odds of an autism diagnosis between EP participants with and without cognitive impairment (OR 1.19 (95% CI 0.24, 5.93), p = 0.834). Excluding all participants with a cognitive impairment, the odds of an autism diagnosis were not significantly greater in EP participants than controls; however, the confidence interval here is very wide due to the small sample size so this result should be interpreted with caution (OR 6.63 (95% CI 0.83, 53.09), p = 0.075).

Discussion

The results from this longitudinal prospective population-based study found that EP young adults present with significantly greater autistic traits compared to term-born controls. This increase in traits was seen across all BAPQ subscales—aloof personality, rigid personality and pragmatic language, which are proposed to parallel the core deficits of social communication and interaction, and restrictive and repetitive behaviours and interests that define autism spectrum disorder [16]. This finding of greater autistic traits in our EP born young adults is in keeping with a previous study of adults born very preterm/very low birth weight which also used the BAPQ measure [17]. Furthermore, BAPQ total scores at 19 years were positively correlated with SCQ total scores at 11 years in our EP participants, indicating a moderate association between parent-reported autism symptom scores in childhood and self-reported autistic traits in early adulthood in this population. There was no correlation between these scores in term-born controls, which may suggest that the presentation of these autistic traits is more variable in the general population. Alternatively, this may be due to differences in self versus informant reports or simply due to the use of two different measures.

Eight per cent of EP participants were classified as meeting the diagnostic criteria for autism at 11 years [1]. In addition, EP children scored significantly higher on the SCQ compared to their term-born peers, indicating greater symptoms of autism, with 16% reported to have a positive screen for autism on this measure [1]. Based on these findings, Johnson and colleagues [1] proposed that a larger proportion of EP children present with social and communication difficulties than meet the diagnostic criteria for autism. The current study supports this proposal: 31% of the EP young adults scored above the BAPQ cut-off compared to 10% who self-reported a diagnosis of autism. Previous studies have also reported higher autism screening scores in preterm groups in comparison with term-born controls [12,13,14,15]. The American Academy of Pediatrics [41] recommends routine screening for autism in all children at 18 and 24 months. However, as screening in EP born children at 2 years of age can result in a high false-positive rate due to comorbid motor disorders or sensory impairments [42, 43], these differential diagnoses should be considered and investigated [44]. Additional screening at key points throughout childhood may help to identify EP children who might be missed on early screening [45], particularly those with intellectual disability or in older children and adolescents who may have been able to mask their early difficulties [44]. Children identified at risk on screening should be followed up with formal diagnostic assessment. Screening for autistic like traits in EP born children will help to identify those with clinical and subthreshold difficulties who could benefit from intervention in social skills training, which are noted to be effective in autistic populations [46, 47]. Furthermore, a screening tool such as the BAPQ, designed to detect milder autistic traits, may be more sensitive at identifying EP born children and adolescents with subthreshold difficulties, in comparison with an autism specific questionnaire measure designed to detect symptoms in the diagnostic range. Despite the high level of autistic traits reported in this EP population, it is important to note that the majority of these EP participants, just less than 70%, did not present with elevated autistic traits.

EP young adults had significantly higher scores across the BAPQ subscales in comparison with their peers. This suggests that EP participants present with symptoms across the autism phenotype rather than difficulties in specific areas of functioning. At the 11-year follow-up, EP children had increased symptoms in social interaction and communication but not in repetitive behaviours compared to term-born controls after adjustment for IQ [1]. The variation in symptom presentation over time may be due to the use of different data sources and measures at each follow-up; for example, the SCQ at 11 years was based on parent report compared to the BAPQ at 19 years based on self-report. The SCQ was developed based on the ADI-R interview and examines autism symptomology in line with ICD-10 and DSM-IV diagnostic criteria [48], thus is a more conservative measure than the BAPQ. Given the BAPQ investigates milder symptoms associated with autism, it may be more sensitive to detect subthreshold repetitive behaviours and restricted interests.

After adjustment for IQ, the correlation between the EQ and BAPQ total scores remained significant for both EP and control participants. This suggests these two questionnaires measure overlapping abilities. The EQ has also been shown to negatively correlate with the Autism Quotient, a measure of autistic traits in adults [22]. The authors suggest that the social domains measured on the Autism Quotient require empathy skills, which explain this relationship. This also suggests how the BAPQ and EQ are connected. The correlation between FEFA-2 total score and total scores on the EQ and BAPQ was mediated by IQ for EP participants.

In the current study, comorbid cognitive impairment was not associated with an increased risk for an autism diagnosis in our EP participants. However at the 11-year follow-up, cognitive impairment at 6 years was a significant predictor of a diagnosis and 69% of EP participants who met the diagnostic criteria for autism had a cognitive impairment [1]. The reason for this discrepancy in findings may be due to the small increase in participants with an autism diagnosis at 19 years; these new cases all had IQ scores above 70, increasing the proportion of participants that fell in the non-impaired range. As outlined in the diagnostic classification of autism [15], symptoms may only clinically manifest when the social demands exceed the capacities of the individual; the higher cognitive capabilities of these participants may have helped them to mask their social difficulties in childhood and only presented later when social demands became more complex over adolescence. Additionally, at 11 years, cognitive impairment was defined using term-born controls as the reference, with scores more than 2 SD below the mean of controls. This analytic strategy was used to account for the Flynn effect associated with using outdated test norms [49]. However, for the 19-year follow-up a contemporary cognitive test was administered (WASI-II) and the traditional clinical cut-off of an IQ score less than 70 was used to define cognitive impairment. This deviation in the cognitive impairment categorisation may account for the variation in findings. Our current findings are in keeping with a recent cohort study of EP born children assessed at 10 years of age, which reported that decreasing gestational age was associated with an increased risk of autism regardless of intellectual ability [50].

Risk factors associated with increased autistic traits or a self-reported diagnosis of autism in our EP young adults were not explored in the current study, as this was previously investigated at the 11-year follow-up, in which male sex, withdrawn behaviour at 2.5 years of age, and cognitive impairment and peer relationship problems at 6 years of age were significant predictors of an autism diagnosis at age 11 years. A recent systematic review reported male sex, being born small for gestational age, and cognitive impairment to be the most consistent risk factors for an autism diagnosis in children born preterm [45]; however, this study was restricted to a narrative synthesis and the authors highlighted that further research is needed to identify risk factors specific to the different preterm gestational age categories. Montagna and Nosarti [11] reviewed a number of studies of very preterm populations which report volume reductions in brain regions involved in social–emotional processing, such as the fusiform gyrus and amygdala, which they propose may underlie social–emotional difficulties in this population. While Ure and colleagues [51] found cystic lesions in cortical white matter on neonatal neuroimaging was associated with a significantly increased odds of a diagnosis of autism in children born very preterm; however, the sample size was small in this study. Further research is needed to determine brain alterations associated with autism in EP populations.

Limitations

Over 50% of EP and control participants were lost to follow-up. A greater proportion of EP participants assessed at 19 years were from higher SES backgrounds and had significantly higher IQ scores at 11 years in comparison with EP participants not assessed, indicating that those lost to follow-up have likely poorer outcomes. Reassuringly however, the EP participants assessed versus not assessed had similar SCQ total scores at 11 years and the percentage with a diagnosis of autism did not differ significantly. Compared to the original BAPQ findings for EP participants, the multiple imputation results for this measure found EP participants had higher mean scores on the aloof personality and rigid personality subscales as well as on the BAPQ total score, but not on pragmatic language subscale. However, it should be noted that the imputed mean scores were all within ± 1 standard deviation of the original BAPQ total and subscale scores. Nonetheless, loss to follow-up may have led to an underestimation of the groups differences reported.

At 19-year follow-up, the rate of autism in our EP participants and term-born controls was measured based on self-report in clinical interview rather than through the administration of a standardised diagnostic measure. Although this method may be susceptible to response bias, the prevalence of autism in our EP and control participants was comparable between the 11-year follow-up based on the standardised DAWBA parent interview and the 19-year follow-up using self-report. It is also important to highlight that the BAPQ was designed to measure milder autistic traits and does not assess diagnostic features of autism. The lack of a standardised autism diagnostic tool or questionnaire measure is a further limitation of the study.

Conclusions

EP born young adults presented with increased autistic traits in comparison with their term-born peers, with a significant association to autism symptoms in childhood. A larger proportion of EP survivors are affected by subclinical difficulties associated with autism than meet the diagnostic criteria, and the broader autism phenotype captures this presentation. The higher prevalence of autism in EP born children highlights the need for ongoing screening in this at risk group throughout childhood. An investigation of the effectiveness of social skills training in EP children with clinical and subclinical difficulties, and whether such training reduces concurrent and later symptom presentation, would be beneficial in planning support services for these children.

Availability of data and materials

Data are available subject to the EPICure Data Sharing Policy (www.epicure.ac.uk) and will be available as part of the RECAP preterm Cohort Platform (https://recap-preterm.eu).

Abbreviations

Autism:

Autism spectrum disorder

EP:

Extremely preterm

BAP:

Broader autism phenotype

BAPQ:

Broader Autism Phenotype Questionnaire

EQ:

Empathy Quotient

FEFA-2:

Frankfurt test and training of facial affect recognition 2nd edition

SCQ:

Social Communication Questionnaire

SES:

Socio-economic status

SD:

Standard deviation

WASI-II:

Wechsler abbreviated scale of intelligence 2nd edition

References

  1. Johnson S, Hollis C, Kochhar P, Hennessy E, Wolke D, Marlow N. Autism spectrum disorders in extremely preterm children. J Pediatr. 2010;156(4):525–531.e2. https://0-doi-org.brum.beds.ac.uk/10.1016/j.jpeds.2009.10.041.

    Article  PubMed  Google Scholar 

  2. Moster D, Lie RT, Markestad T. Long-term medical and social consequences of preterm birth. N Engl J Med. 2008;359(3):262–73. https://0-doi-org.brum.beds.ac.uk/10.1056/NEJMoa0706475.

    Article  CAS  PubMed  Google Scholar 

  3. Joseph RM, O’Shea TM, Allred EN, et al. Prevalence and associated features of autism spectrum disorder in extremely low gestational age newborns at age 10 years. Autism Res. 2017;10(2):224–32. https://0-doi-org.brum.beds.ac.uk/10.1002/aur.1644.

    Article  PubMed  Google Scholar 

  4. Kuzniewicz MW, Wi S, Qian Y, Walsh EM, Armstrong MA, Croen LA. Prevalence and neonatal factors associated with autism spectrum disorders in preterm infants. J Pediatr. 2014;164(1):20–5. https://0-doi-org.brum.beds.ac.uk/10.1016/j.jpeds.2013.09.021.

    Article  PubMed  Google Scholar 

  5. Agrawal S, Rao SC, Bulsara MK, Patole SK. Prevalence of autism spectrum disorder in preterm infants: a meta-analysis. Pediatrics. 2018. https://0-doi-org.brum.beds.ac.uk/10.1542/peds.2018-0134.

    Article  PubMed  PubMed Central  Google Scholar 

  6. Chen LW, Wang ST, Wang LW, et al. Behavioral characteristics of autism spectrum disorder in very preterm birth children. Mol Autism. 2019;10(1):1–9. https://0-doi-org.brum.beds.ac.uk/10.1186/s13229-019-0282-4.

    Article  CAS  Google Scholar 

  7. Centre for Disease Control. Data and Statistics on Autism Spectrum Disorder. Center for Disease Control and Prevention. https://www.cdc.gov/ncbddd/autism/data.html. Published 2019.

  8. Wolke D, Baumann N, Strauss V, Johnson S, Dm NM. Bullying of preterm children and emotional problems at school age: cross-culturally invariant effects. J Pediatr. 2015. https://0-doi-org.brum.beds.ac.uk/10.1016/j.jpeds.2015.02.055.

    Article  PubMed  PubMed Central  Google Scholar 

  9. Liu Y, Mendonca M, Johnson S, et al. Testing the neurodevelopmental, trauma and developmental risk factor models of psychosis using a naturalistic experiment. Psychol Med. 2019. https://0-doi-org.brum.beds.ac.uk/10.1017/S0033291719003349.

    Article  PubMed  PubMed Central  Google Scholar 

  10. Healy E, Reichenberg A, Nam KW, et al. Preterm birth and adolescent social functioning-alterations in emotion-processing brain areas. J Pediatr. 2013;163(6):1596–604. https://0-doi-org.brum.beds.ac.uk/10.1016/j.jpeds.2013.08.011.

    Article  PubMed  Google Scholar 

  11. Montagna A, Nosarti C. Socio-emotional development following very preterm birth: pathways to psychopathology. Front Psychol. 2016. https://0-doi-org.brum.beds.ac.uk/10.3389/fpsyg.2016.00080.

    Article  PubMed  PubMed Central  Google Scholar 

  12. Hack M, Taylor HG, Schluchter M, Andreias L, Drotar D, Klein N. Behavioral outcomes of extremely low birth weight children at age 8 years. J Dev Behav Pediatr. 2009;30(2):122–30. https://0-doi-org.brum.beds.ac.uk/10.1097/DBP.0b013e31819e6a16.

    Article  PubMed  PubMed Central  Google Scholar 

  13. Broring T, Oostrom KJ, van Dijk-Lokkart EM, Lafeber HN, Brugman A, Oosterlaan J. Attention deficit hyperactivity disorder and autism spectrum disorder symptoms in school-age children born very preterm. Res Dev Disabil. 2018;74:103–12. https://0-doi-org.brum.beds.ac.uk/10.1016/j.ridd.2018.01.001.

    Article  PubMed  Google Scholar 

  14. Pyhala R, Hovi P, Lahti M, et al. Very low birth weight, infant growth, and autism-spectrum traits in adulthood. Pediatrics. 2014;134(6):1075–83. https://0-doi-org.brum.beds.ac.uk/10.1542/peds.2014-1097.

    Article  PubMed  Google Scholar 

  15. American Psychiatric Association. Diagnostic and statistical manual of mental disorders. 5th ed. Arlington: American Psychiatric Association; 2013.

    Book  Google Scholar 

  16. Hurley RSE, Losh M, Parlier M, Reznick JS, Piven J. The Broad Autism Phenotype Questionnaire. J Autism Dev Disord. 2007;37(9):1679–90. https://0-doi-org.brum.beds.ac.uk/10.1007/s10803-006-0299-3.

    Article  PubMed  Google Scholar 

  17. Eryigit-Madzwamuse S, Strauss V, Baumann N, Bartmann P, Wolke D. Personality of adults who were born very preterm. Arch Dis Child Fetal Neonatal Ed. 2015;100(6):F524–9. https://0-doi-org.brum.beds.ac.uk/10.1136/archdischild-2014-308007.

    Article  PubMed  Google Scholar 

  18. Baron-Cohen S. The extreme male brain theory of autism. Trends Cogn Sci. 2002;6(6):248–54. https://0-doi-org.brum.beds.ac.uk/10.1016/S1364-6613(02)01904-6.

    Article  PubMed  Google Scholar 

  19. Baron-Cohen S. Mindblindness: an essay on autism and theory of mind. Cambridge: The MIT Press; 1995.

    Book  Google Scholar 

  20. Sucksmith E, Allison C, Baron-Cohen S, Chakrabarti B, Hoekstra RA. Empathy and emotion recognition in people with autism, first-degree relatives, and controls. Neuropsychologia. 2013;51(1):98–105. https://0-doi-org.brum.beds.ac.uk/10.1016/j.neuropsychologia.2012.11.013.

    Article  CAS  PubMed  Google Scholar 

  21. Bölte S, Poustka F. The recognition of facial affect in autistic and schizophrenic subjects and their first-degree relatives. Psychol Med. 2003;33(5):907–15. https://0-doi-org.brum.beds.ac.uk/10.1017/S0033291703007438.

    Article  PubMed  Google Scholar 

  22. Baron-Cohen S, Wheelwright S. The empathy quotient: an investigation of adults with Asperger syndrome or high functioning autism, and normal sex differences. J Autism Dev Disord. 2004;34(2):163–75. https://0-doi-org.brum.beds.ac.uk/10.1023/B:JADD.0000022607.19833.00.

    Article  PubMed  Google Scholar 

  23. Losh M, Adolphs R, Poe MD, et al. Neuropsychological profile of autism and the broad autism phenotype. Arch Gen Psychiatry. 2009;66(5):518–26. https://0-doi-org.brum.beds.ac.uk/10.1001/archgenpsychiatry.2009.34.

    Article  PubMed  PubMed Central  Google Scholar 

  24. Campbell C, Horlin C, Reid C, et al. How do you think she feels? Vulnerability in empathy and the role of attention in school-aged children born extremely preterm. Br J Dev Psychol. 2015;33(3):312–23. https://0-doi-org.brum.beds.ac.uk/10.1111/bjdp.12091.

    Article  PubMed  Google Scholar 

  25. Twilhaar ES, de Kieviet JF, Bergwerff CE, Finken MJJ, van Elburg RM, Oosterlaan J. Social adjustment in adolescents born very preterm: evidence for a cognitive basis of social problems. J Pediatr. 2019;213(66–73):e1. https://0-doi-org.brum.beds.ac.uk/10.1016/j.jpeds.2019.06.045.

    Article  Google Scholar 

  26. Potharst ES, Van Wassenaer-Leemhuis AG, Houtzager BA, et al. Perinatal risk factors for neurocognitive impairments in preschool children born very preterm. Dev Med Child Neurol. 2013;55(2):178–84. https://0-doi-org.brum.beds.ac.uk/10.1111/dmcn.12018.

    Article  PubMed  Google Scholar 

  27. Wood NS, Marlow N, Costeloe K, Gibson AT, Wilkinson AR. Neurologic and developmental disability after extremely preterm birth. EPICure Study Group. N Engl J Med. 2000;343(6):378–84.

    Article  CAS  PubMed  Google Scholar 

  28. Johnson S, Fawke J, Hennessy E, et al. Neurodevelopmental disability through 11 years of age in children born before 26 weeks of gestation. Pediatrics. 2009;124(2):e249–57. https://0-doi-org.brum.beds.ac.uk/10.1542/peds.2008-3743.

    Article  PubMed  Google Scholar 

  29. Marlow N, Wolke D, Bracewell MA, Samara M, Group EpicS. Neurologic and developmental disability at six years of age after extremely preterm birth. N Engl J Med. 2005;352(1):9–19.

    Article  CAS  PubMed  Google Scholar 

  30. Office for National Statistics. Standard Occupational Classification 2010 Volume 3: The National Statistics Socio-economic Classification: (Rebased on the SOC2010). 2010.

  31. Sasson NJ, Lam KSL, Childress D, Parlier M, Daniels JL, Piven J. The broad autism phenotype questionnaire: prevalence and diagnostic classification. Autism Res. 2013;6(2):134–43. https://0-doi-org.brum.beds.ac.uk/10.1002/aur.1272.

    Article  PubMed  PubMed Central  Google Scholar 

  32. Bolte S, Feineis-Matthews S, Leber S, Dierks T, Hubl D, Poustka F. The development and evaluation of a computer-based program to test and to teach the recognition of facial affect. Int J Circumpolar Health. 2002;61(Suppl 2):61–8. https://0-doi-org.brum.beds.ac.uk/10.3402/ijch.v61i0.17503.

    Article  PubMed  Google Scholar 

  33. Wechsler D. Wechsler Abbreviated Scale of Intelligence. 2nd ed. San Antonio: NCS Pearson; 2011.

    Google Scholar 

  34. Rutter M, Bailey A, Lord C. The Social Communication Questionnaire. Los Angeles: Western Psychological Services; 2003.

    Google Scholar 

  35. Goodman R, Ford T, Richards H, Gatward R, Meltzer H. The Development and Well-Being Assessment: description and initial validation of an integrated assessment of child and adolescent psychopathology. J Child Psychol Psychiatry. 2000;41(5):645–55.

    Article  CAS  PubMed  Google Scholar 

  36. StataCorp. Stata Statistical Software: Release 15. 2017.

  37. O’Reilly H, Johnson S, Ni Y, Wolke D, Marlow N. Neuropsychological outcomes at 19 years of age following extremely preterm birth. Pediatrics. 2020;145(2):e20192087.

    Article  PubMed  Google Scholar 

  38. Breeman LD, Jaekel J, Baumann N, Bartmann P. Preterm cognitive function into adulthood. Pediatrics. 2015;136(3):415–23. https://0-doi-org.brum.beds.ac.uk/10.1542/peds.2015-0608.

    Article  PubMed  Google Scholar 

  39. Pyhala R, Lahti J, Heinonen K, et al. Neurocognitive abilities in young adults with very low birth weight. Neurology. 2011;77(23):2052–60. https://0-doi-org.brum.beds.ac.uk/10.1212/WNL.0b013e31823b473e.

    Article  CAS  PubMed  Google Scholar 

  40. Faul F, Erdfelder E, Lang A-G, Buchner A. G*Power 3: a flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behav Res Methods. 2007;39(2):175–91. https://0-doi-org.brum.beds.ac.uk/10.3758/bf03193146.

    Article  PubMed  Google Scholar 

  41. American Academy of Pediatrics. Autism. https://healthychildren.org/English/health-issues/conditions/Autism/Pages/default.aspx. Published 2020.

  42. Moore T, Johnson S, Hennessy E, Marlow N. Screening for autism in extremely preterm infants: problems in interpretation. Dev Med Child Neurol. 2012;54(6):514–20. https://0-doi-org.brum.beds.ac.uk/10.1111/j.1469-8749.2012.04265.x.

    Article  PubMed  Google Scholar 

  43. Kuban KCK, O’Shea TM, Allred EN, Tager-Flusberg H, Goldstein DJ, Leviton A. Positive screening on the Modified Checklist for Autism in Toddlers (M-CHAT) in extremely low gestational age newborns. J Pediatr. 2009;154(4):535-540.e1. https://0-doi-org.brum.beds.ac.uk/10.1016/j.jpeds.2008.10.011.

    Article  PubMed  PubMed Central  Google Scholar 

  44. National Institute for Health and Care Excellence. Autism spectrum disorder in under 19s: recognition, referral and diagnosis. NICE clinical guideline [CG128]. https://www.nice.org.uk/guidance/cg128. Published 2017.

  45. Cogley C, O’Reilly H, Bramham J, Downes M. A systematic review of the risk factors for autism spectrum disorder in children born preterm. Child Psychiatry Hum Dev. 2020. https://0-doi-org.brum.beds.ac.uk/10.1007/s10578-020-01071-9.

    Article  PubMed  Google Scholar 

  46. Jonsson U, Olsson NC, Coco C, et al. Long-term social skills group training for children and adolescents with autism spectrum disorder: a randomized controlled trial. Eur Child Adolesc Psychiatry. 2019;28(2):189–201. https://0-doi-org.brum.beds.ac.uk/10.1007/s00787-018-1161-9.

    Article  PubMed  Google Scholar 

  47. Gates JA, Kang E, Lerner MD. Efficacy of group social skills interventions for youth with autism spectrum disorder: a systematic review and meta-analysis. Clin Psychol Rev. 2018. https://0-doi-org.brum.beds.ac.uk/10.1016/j.cpr.2017.01.006.Efficacy.

    Article  Google Scholar 

  48. Berument SK, Rutter M, Lord C, Pickles A, Bailey A. Autism screening questionnaire: diagnostic validity. Br J Psychiatry. 1999;175:444–51. https://0-doi-org.brum.beds.ac.uk/10.1192/bjp.175.5.444.

    Article  CAS  PubMed  Google Scholar 

  49. Flynn JR. Searching for justice: the discovery of IQ gains over time. Am Psychol. 1999;54(1):5–20. https://0-doi-org.brum.beds.ac.uk/10.1037/0003-066X.54.1.5.

    Article  Google Scholar 

  50. Joseph RM, Korzeniewski SJ, Allred EN, et al. Extremely low gestational age and very low birthweight for gestational age are risk factors for autism spectrum disorder in a large cohort study of 10-year-old children born at 23–27 weeks’ gestation. Am J Obstet Gynecol. 2017;216(3):304.e1–e16. https://0-doi-org.brum.beds.ac.uk/10.1016/j.ajog.2016.11.1009.

    Article  Google Scholar 

  51. Ure AM, Treyvaud K, Thompson DK, et al. Neonatal brain abnormalities associated with autism spectrum disorder in children born very preterm. Autism Res. 2016;9(5):543–52. https://0-doi-org.brum.beds.ac.uk/10.1002/aur.1558.

    Article  PubMed  Google Scholar 

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Acknowledgements

We thank all the EPICure participants and families, our Participant Advisory Group and members of the EPICure research team not otherwise named. Helen O’Reilly prepared this paper as part of her doctoral training in clinical psychology, sponsored by the Health Service Executive, Ireland.

Funding

This study was funded by the Medical Research Council UK (Ref MR/J01107X/1) and sponsored by University College London. Neither the funders nor sponsors had any role in the design, execution, interpretation or content of the study. Neil Marlow receives a proportion of funding from the Department of Health’s NIHR Biomedical Research Centres funding scheme at UCLH/UCL.

Author information

Authors and Affiliations

Authors

Contributions

HO assisted in the design of the 19-year follow-up study, collected the data, and drafted and revised the manuscript. YN conducted the statistical analyses and critically reviewed and revised the manuscript for intellectual content. SJ conceptualised and designed the study, obtained funding, and critically reviewed and revised the manuscript for intellectual content. DW conceptualised and designed the 19-year follow-up study, and critically reviewed and revised the manuscript. NM conceptualised and designed the study, obtained funding, supervised data collection, and critically reviewed and revised the manuscript. All authors approved the final manuscript as submitted and agree to be accountable for all aspects of the work. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Helen O’Reilly.

Ethics declarations

Ethics approval and consent to participate

The South Central—Hampshire A Research Ethics Committee granted ethical approval for the study (Reference: 13/SC/0514). All participants or their guardians provided written informed consent to participate in the study.

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Not applicable.

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The authors have no financial relationships relevant to this article to disclose. The authors have no conflicts of interest relevant to this article to disclose.

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Supplementary information

Additional file 1: Table S4.

Data imputation results for BAPQ outcome variable.

Additional file 2: Table S5.

FEFA-2 Emotion Recognition Scores and Between Group Differences.

Additional file 3: Table S6.

Partial correlation between EQ, BAPQ & FEFA, adjusting for IQ.

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O’Reilly, H., Ni, Y., Johnson, S. et al. Extremely preterm birth and autistic traits in young adulthood: the EPICure study. Molecular Autism 12, 30 (2021). https://0-doi-org.brum.beds.ac.uk/10.1186/s13229-021-00414-0

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