Abstract
Objective
This longitudinal study of a non-referred, population-based sample tested the 5-year predictive validity of the DSM-IV conduct disorder (CD) research diagnosis in children 4½–5 years of age.
Method
In the E-Risk Study, a representative birth cohort of 2,232 children, mothers were interviewed and teachers completed mailed questionnaires to assess children’s past 6-month CD symptoms. A follow-up assessment was conducted when children were 10 years old.
Results
CD-diagnosed 5-year-olds were significantly more likely than controls to have behavioural and educational difficulties at age 10. Increased risk for age-10 educational difficulties persisted after controlling for age-5 IQ and ADHD diagnosis. Although the majority of CD-diagnosed 5-year-olds had no CD symptoms at age 10, findings suggest that these “remitted” children continued to experience behavioural and educational problems 5 years later despite their apparent remission from CD.
Conclusions
DSM-IV CD symptoms validly identify preschool-aged children who continue to have behavioural and educational problems in middle-childhood.
Keywords: conduct disorder, preschool, predictive validity, epidemiology, nosology
Introduction
In recent years, evidence has been accumulating in support for the validity of the DSM-IV conduct disorder (CD) diagnosis in preschool-aged children [4]. For instance, one study demonstrated that the factor structure of disruptive behaviour disorders in a large sample of children aged 2–5 years was differentiated along the same lines as psychopathology in older children and adolescents [30]. Moreover, studies of both clinic-referred [15-17] and non-referred community samples [18] have found good concurrent and convergent validity for the DSM-IV CD diagnosis in preschool-aged children. Thus far, however, only one epidemiological study has tested predictive validity. We previously documented the prospective 2-year predictive validity of the DSM-IV CD diagnosis in an epidemiological sample of 4½–5-year-old children [18]. Compared with non-diagnosed children, 5-year-olds diagnosed with CD were significantly at greater risk for a CD diagnosis and behavioural and educational difficulties when reassessed at age 7. Although many 5-year-olds showed apparent remission from CD by age 7, these children continued to experience clinically significant difficulties [18]. Nevertheless, predictive validity over a 2-year period is a fairly short time span and it is possible that over a longer epoch, preschoolers diagnosed with CD may appear no different from non-diagnosed peers. Here we extend our previous findings over a 5-year period to middle childhood when the same children are 10 years old.
Further testing the predictive validity of DSM-IV CD diagnosis in preschoolers is important for several reasons. First, predictive validity is an essential function of a diagnostic system. Good predictive validity of a diagnosis would inform clinicians’ ability to predict patients’ long-term prognosis and identify children most in need of intervention. Second, when CD symptoms emerge in the preschool period, timely intervention is desirable to prevent chronic CD [14, 26, 32, 37] and a diagnosis is typically necessary for families to qualify for affordable treatment. Third, the predictive validity of diagnosing CD in preschoolers is one of several research priorities for informing the forthcoming DSM-V [23, 36]. Evidence is needed regarding whether young children’s conduct problems can be validly classified as a disorder based on DSM-IV nosology during a developmental period when such problem behaviour is not uncommon [11, 35].
In this study, we tested predictive validity in two ways. First, we compared children who did and did not have an age-5 CD diagnosis on age-10 behavioural and educational outcomes as reported by mothers and teachers. Second, we identified a group of children who had age-5 CD but had no age-10 CD symptoms. Support for predictive validity would be evident if these ostensibly “remitted” children have worse outcomes at age 10 compared to non-CD controls. Although we also report on the continuity of a CD diagnosis between ages 5 and 10 years, the key criteria for assessing predictive validity in this study were children’s functional outcomes in middle-childhood, which are important regardless of concurrent diagnostic status.
Method
Participants
Participants are members of the Environmental Risk (E-Risk) Longitudinal Twin Study. The E-Risk sampling frame was two consecutive birth cohorts (1994 and 1995) in a birth register of twins born in England and Wales [33]. Of the 15,906 twin pairs born in these 2 years, 71% joined the register. Bias from non-response was corrected as follows.
The E-Risk Study probability sample was drawn using a high-risk stratification sampling procedure. High-risk families were those in which the mother had her first birth when she was 20 years of age or younger. We used this sampling [1] to replace high risk families who were selectively lost to the register via non-response and [2] to ensure sufficient base rates of children growing up in at-risk environments. Age at first childbearing was used as the risk-stratification variable because it was recorded for virtually all families in the register, it is relatively free of measurement error, and early childbearing is a known risk factor for children’s problem behaviours [22, 24]. The sampling strategy resulted in a final sample in which one-third of Study mothers (younger only; N = 314) constitute a 160% oversample of mothers who were at high risk based on their young age at first birth (15–20 years). The other two-thirds of Study mothers (N = 802) accurately represent all mothers in the general population (aged 15–48) in England and Wales in 1994–1995 (estimates derived from the General Household Survey [5]). To provide unbiased statistical estimates that can be generalized to the population of British families with children born in the 1990s, the data reported in this article were corrected with weighting to represent the proportion of young mothers in that population [7].
The E-Risk Study sought a sample size of 1,100 families to allow for attrition in future years of the longitudinal study while retaining statistical power. An initial list of families who had same-sex twins was drawn from the register to target for home visits. Of the families from the initial list, 1,116 (93%) participated in home-visit assessments when the twins were age 5 years, forming the base sample for the study: 4% of families refused, and 3% could not be reached after many attempts. Written informed consent was obtained from mothers. With parent’s permission, questionnaires were posted to the children’s teachers, and teachers returned questionnaires for 94% of cohort children.
Follow-up home interview data were collected for 96% of the 1,116 families at age 10 and teacher questionnaires were obtained for 90% of the participants taking part in the follow-up. The E-Risk Study has received ethical approval from the Maudsley Hospital Ethics Committee.
CD diagnosis
We derived a research diagnosis of children’s CD on the basis of mothers’ and teachers’ reports on 14 of 15 DSM-IV symptoms of CD [18], using the Child Behaviour Checklist (1) and Teacher’s Report Form (2). We supplemented these instruments with items from the Diagnostic Interview Schedule for Children [9] to ensure that the interview covered all CD criterion symptoms (“forced sexual activity” was excluded as inappropriate for 5-year-olds). Mothers’ reports were obtained in a face-to-face, standardized interview in the family home. Interviewers were blind to child diagnostic status. Teachers’ reports were obtained via mailed questionnaires.
A child was considered to have a symptom if either the mother or the teacher reported the symptom as being “very true” or “often true” of the child over the past 6 months at 4½–5 years of age. Some CD items that are very serious behaviours (e.g., “has used a weapon that can cause serious harm”) and are considered to be clinically significant if done only once were counted if reported as being “very true.” Milder CD items which the DSM-IV requires “often” (e.g., “often initiates physical fights”) were counted if reported as being “often true.” Items for which mothers and teachers responded only “somewhat true” were not counted. We counted a symptom as present if reported by either source, following evidence that this approach enhances diagnostic validity [6, 25]. Symptom counts ranged from 0 to 11. Consistent with DSM-IV criteria, children with three or more symptoms were assigned a CD diagnosis. At age 5 years, the prevalence of CD, weighted to represent the population, was 6.6% (N = 189; reported Ns are unweighted) [18]. The same methods were used to diagnose CD at the age-10 assessment, and data were available for 184 of the 189 CD-diagnosed children.
Age-5 control variables
IQ
Each child was individually tested using a short form of the Wechsler Preschool and Primary Scale of Intelligence-Revised (WPPSI-R) [38], comprising Vocabulary and Block Design subtests. IQs were prorated [27]. The children’s IQs ranged from 52 to 145 (M = 98, SD = 14).
ADHD diagnosis
ADHD research diagnoses were based on DSM-IV criteria. Children received the diagnosis if they had six or more of the hyperactivity–impulsivity symptoms and/or six or more of the inattentiveness symptoms according to either mother or teacher report. To document pervasiveness, the other rater had to indicate two or more symptoms of either inattentiveness or hyperactivity–impulsivity. Therefore, the diagnostic criteria included the presence of symptoms in more than one setting (home and school), as well as onset before age 7 since all children were first assessed at age 5 years. Symptoms were counted as present only if scored “very or often true”. The prevalence of ADHD diagnoses was 5.7% [19].
Age-10 outcome measures
Behavioural scales were created separately for mothers’ and teachers’ reports of ADHD symptoms, aggression, delinquency, emotional problems, and prosocial behaviour using items from the Child Behaviour Checklist (1) and the Teacher’s Report Form (2), supplemented with items from the DSM-IV diagnostic criteria for ADHD and the Rutter Child Scales [28]. Symptoms and behaviours were reported for the preceding 6 months and each item was scored as (0) “not true,” (1) “somewhat true,” and (2) “very often true”. Internal consistencies ranged from 0.66 to 0.95.
Treatment for behavioural/emotional problems by a professional (e.g., physician, psychologist, social worker) in the past year was reported by mothers (N = 351, 15.8% weighted).
Special education service use in the past year was reported by mothers (N = 297, 12.6% weighted).
Children’s reading ability was individually tested using the Test of Word Reading Efficiency (TOWRE) [31]. Scores were converted to standardized scores, according to the test manual. We report the percentage of children with a reading score below 90.
English and math school performance
In the Teacher’s Report Form [2], teachers were asked to rate the child’s current English and math performance, using a 5-point scale (0 = far below average, 1 = somewhat below average, 2 = average, 3 = somewhat above average, and 4 = far above average), compared to pupils of the same age. The sample mean was 2.06 (SD = 0.97) for English and 2.13 (SD = 0.97) for math performance. We report the percentage of children who were rated by teachers as “somewhat below average” or “far below average” in English and math skills.
Teacher’s effort
Teachers were asked to report on what it was like to work with this child relative to other children in the class, using a 7-point scale (0 = much less; 3 = average; 6 = much more) to rate six items. Items were: How frequently “…must you act to curb disruptive behaviour by this child?,” “…must you give this child extra encouragement to get him/her to take part?,” “…must you act to keep this child’s attention on task?,” “…does this child’s behaviour make it rewarding to work with him/her?” (reverse-coded), “…does this child’s behaviour make it frustrating to work with him/her?” and “…does this child need one-on-one interaction from you?” The sample mean was 11.66 (SD = 7.99). The internal consistency alpha was 0.88.
Statistical analysis
Group differences were evaluated with t-tests (for continuous variables) and odd ratios (for dichotomous variables), and effect sizes (d) were calculated [13]. Tests were two-tailed and based on the sandwich or Huber/White variance estimator [39], a method available in STATA 9.0 [29], which adjusts estimated standard errors to account for the dependence in the data due to analyzing two children per family.
Results
Predictive validity
At age 10 years, the weighted prevalence of CD was 2.6% (N = 74) in the total sample, 3.7% (N = 49) for boys, and 1.5% (N = 25) for girls. Compared with undiagnosed children, the age-5 CD group was at significantly greater risk for a CD diagnosis at age 10 years (OR: 9.0, 95% CI: 4.9, 16.5). Boys were no more likely than girls to maintain a CD diagnosis at both ages.
Compared with non-CD controls, children meeting criteria for a CD diagnosis at age 5 years had significantly higher levels of age-10 mother- and teacher-reported ADHD symptoms, aggression, and delinquency, lower levels of prosocial behaviour, and were more likely to have received treatment for behavioural/emotional problems (Table 1). Compared with controls, the CD group was approximately 2–3 times more likely to have age-10 educational problems and to require more effort from teachers. After controlling for age-5 IQ and ADHD diagnosis, the CD group continued to be at significantly greater need for special education services [adjusted odds ratio (AOR): 1.8; 95% CI: 1.1, 2.8], to be at increased risk for poor English performance (AOR: 1.6; 95% CI: 1.0, 2.4), and to require more effort from teachers [t(1,928) = 4.30, P < 0.001]. After controlling for age-5 IQ and ADHD, the CD group was at increased risk for poor reading skills and below average math performance, but these comparisons fell short of significance (P < 0.09). Boys with age-5 CD were no more likely than girls with age-5 CD to have any of the age-10 behavioural or educational outcomes, with one exception. Age-5 CD boys were significantly more likely than age-5 CD girls to have higher teacher-rated ADHD symptoms (P = 0.04).
Table 1.
Child functioning at age 10 | Age 5 diagnostic grouping
|
Group difference | Effect size | |
---|---|---|---|---|
Children with CD (N = 184) | Children without CD (N = 1954)a | |||
Behavioural outcomes | ||||
Mother’s report | M (SD) | M (SD) | t (df)b | d c |
Attention deficit hyperactivity (ADHD) symptom scale | 14.8 (8.2) | 8.0 (6.9) | 9.55 (1068)*** | 0.89 |
Aggression scale | 15.4 (8.7) | 7.2 (6.0) | 11.23 (1068)*** | 1.10 |
Delinquency scale | 4.0 (3.3) | 1.5 (1.9) | 9.50 (1068)*** | 0.93 |
Emotional problem scale | 9.7 (7.6) | 6.2 (5.2) | 5.43 (1068)*** | 0.54 |
Prosocial behaviour scale | 15.0 (3.6) | 17.2 (2.7) | 7.55 (1068)*** | 0.70 |
Teacher’s report | ||||
ADHD symptom scale | 6.9 (8.1) | 3.3 (5.5) | 4.98 (990)*** | 0.52 |
Aggression scale | 9.3 (10.2) | 3.6 (6.6) | 6.70 (991)*** | 0.67 |
Delinquency scale | 1.8 (2.5) | 0.6 (1.4) | 5.86 (989)*** | 0.62 |
Emotional problem scale | 5.5 (6.2) | 4.8 (5.7) | 1.36 (991) | 0.13 |
Prosocial behaviour scale | 11.9 (4.9) | 14.1 (4.6) | 4.77 (982)*** | 0.47 |
N (%) | N (%) | Odds ratio (95% CI) | ||
Received treatment for behavioural/emotional problems | 65 (36.2) | 286 (14.3) | 3.4 (2.3, 5.1)*** | 0.68 |
Educational outcomes | ||||
Special education service use | 53 (27.3) | 244 (11.6) | 2.9 (1.9, 4.4)*** | 0.59 |
Standard reading score below average or poor | 62 (30.1) | 335 (15.0) | 2.4 (1.6, 3.7)*** | 0.48 |
English school performance below average | 83 (47.3) | 512 (25.8) | 2.6 (1.7, 3.8)*** | 0.53 |
Math school performance below average | 73 (43.3) | 465 (23.9) | 2.4 (1.7, 3.5)*** | 0.48 |
M (SD) | M (SD) | t (df) | ||
Teacher’s effort scale | 16.4 (9.1) | 11.3 (7.8) | 6.30 (989)*** | 0.60 |
Five CD children and 89 comparison children were missing parent data at age 10; an additional 21 CD and 191 comparison children were missing teacher data at age 10. Ns are unweighted; proportions are weighted to represent the population of British families
Continuous variables were analysed with t-tests and their degrees-of-freedom (df) and categorical variables with odds ratios (OR) and their 95% confidence intervals (CI). Standard errors, 95% CIs, and test statistics include adjustments for the dependence in the data due to analyzing two children in the same family [39]. Thus, degrees-of-freedom are based on number of families rather than number of children
Differences between groups can be interpreted in terms of standard deviation units (d), where d = 0.2 is considered a small effect size, d = 0.5 is a medium effect size, and d = 0.8 is a large effect size [8]
P ≤ 0.001
Predictive validity in “remitted” children
Among the 184 5-year-olds who met diagnostic criteria for CD and had available data at follow-up, 115 (63% weighted) had no CD symptoms at age 10. We compared age-10 outcome measures for the group of children who had an age-5 CD diagnosis but no CD symptoms at age 10 (“remitted” group) against children who did not have an age-5 CD diagnosis (comparison group) (Table 2). Findings indicated that “remitted” children continued to experience elevated behavioural problems, had fewer prosocial behaviours, and received treatment for behavioural/emotional problems at significantly higher rates than children with no age-5 CD. Compared with non-conduct-disordered children, “remitted” children were at significantly greater need of special education services, had lower English and math performance, and required more effort from teachers.
Table 2.
Child functioning at age 10 | Age 5 diagnostic grouping
|
Group difference | Effect size | |
---|---|---|---|---|
“Remitted” group (CD at age 5 but no age-10 CD symptoms) (N = 115) | Comparison group (no age-5 CD) (N = 1,954)a | |||
Behavioural outcomes | ||||
Mother’s report | M (SD) | M (SD) | t (df)b | d c |
ADHD symptom scale | 12.1 (6.9) | 8.0 (6.9) | 6.04 (1057)*** | 0.60 |
Aggression scale | 11.6 (6.1) | 7.2 (6.0) | 6.31 (1057)*** | 0.73 |
Delinquency scale | 2.6 (2.2) | 1.5 (1.9) | 4.26 (1057)*** | 0.55 |
Emotional problem scale | 8.4 (7.0) | 6.2 (5.2) | 2.87 (1057)** | 0.36 |
Prosocial behaviour scale | 15.9 (3.3) | 17.2 (2.7) | 3.83 (1055)*** | 0.45 |
Teacher’s report | ||||
ADHD symptom scale | 4.7 (6.0) | 3.3 (5.5) | 1.95 (979)+ | 0.23 |
Aggression scale | 6.1 (6.9) | 3.6 (6.6) | 3.50 (980)*** | 0.37 |
Delinquency scale | 1.1 (1.7) | 0.6 (1.4) | 2.48 (978)* | 0.31 |
Emotional problem scale | 4.3 (5.0) | 4.8 (5.7) | 0.73 (980) | 0.08 |
Prosocial behaviour scale | 13.1 (4.4) | 14.1 (4.6) | 2.01 (971)* | 0.22 |
N (%) | N (%) | Odds ratio (95% CI) | ||
Received treatment for behavioural/emotional problems | 28 (25.3) | 286 (14.3) | 2.0 (1.2, 3.3)** | 0.38 |
Educational outcomes | ||||
Special education service use | 28 (23.2) | 244 (11.6) | 2.3 (1.4, 3.9)** | 0.46 |
Standard reading score below average or poor | 29 (21.2) | 335 (15.0) | 1.5 (0.9, 2.5) | 0.22 |
English school performance below average | 40 (35.7) | 512 (25.8) | 1.6 (1.0, 2.6)+ | 0.26 |
Math school performance below average | 33 (31.9) | 465 (23.9) | 1.5 (1.0, 2.3)+ | 0.22 |
M (SD) | M (SD) | t (df) | ||
Teacher’s effort scale | 13.4 (8.4) | 11.3 (7.8) | 2.33 (978)* | 0.26 |
A total of 14 “remitted” children and 191 comparison children were missing teacher data at age 10. Ns are unweighted; proportions are weighted to represent the population of British families
Continuous variables were analysed with t-tests and their degrees-of-freedom (df) and categorical variables with odds ratios (OR) and their 95% confidence intervals (CI). Standard errors, 95% CIs, and test statistics include adjustments for the dependence in the data due to analyzing two children in the same family [39]. Thus, degrees-of-freedom are based on number of families rather than number of children
Differences between groups can be interpreted in terms of standard deviation units (d), where d = 0.2 is considered a small effect size, d = 0.5 is a medium effect size, and d = 0.8 is a large effect size [8]. Statistics for these analyses were not adjusted for age-5 IQ and ADHD diagnosis
P ≤ 0.05;
P ≤ 0.01;
P ≤ 0.001;
P ≤ 0.10
Discussion
The predictive validity of a diagnostic test is demonstrated if the diagnostic status is associated with criterion measures of functioning longitudinally over time [3]. This study found that applying DSM-IV CD symptoms to 4 ½–5-year-old children in the community is predictive of continuing behavioural and academic concerns 5 years later. One-quarter of 5-year-olds with a CD research diagnosis were in special education services at age 10 and teachers reported children with preschool CD were more burdensome and required more teaching effort in the classroom. Effect sizes comparing diagnosed versus non-diagnosed children on age 10 outcomes were medium to large [8]. Ten-year-olds who appear to be free of CD symptoms nonetheless have elevated behavioural and educational problems if they have a positive history of preschool-aged CD. Thus, it appears that DSM-IV CD criteria validly identify a subset of young children who might benefit from early intervention. Evidence for predictive validity is strengthened by the fact that parents and teachers were not informed about children’s research diagnosis of CD and treatment referrals were not made. Therefore, the findings herein were not influenced by either “stigma” effects or intervention as a consequence of our research diagnosis.
This study is the first to report on the long-term predictive validity of DSM-IV CD in preschool-aged children, but our findings should be interpreted in light of several limitations. First, our sample comprised mostly white British twins and our findings may not generalize to ethnic/racial groups in other countries or to singletons. However, our CD prevalence estimate and sex ratio are comparable to other epidemiological studies of singletons in the U.K. [21] as well as in the U.S. [10]. Second, our “research” diagnosis may differ from typical practice in clinical settings. However, a strength of our study was interviewing mothers face-to-face to assess child symptoms rather than relying on a self-administered questionnaire, and obtaining collateral information from teachers. At the time the E-Risk children were 4 ½–5-years-old, standardized interview [12, 15] and observational methods [34] for making diagnoses in preschool-aged children were not yet available. Third, we used a reporting period of 6 months, which differs from the DSM-IV practice of assessing CD symptoms in the past 12 months with at least one criterion present in the past 6 months. At our 4½–5-year assessment, a 6-month period for all symptom criteria would exert a conservative effect on the resulting diagnostic group. However, at our age-10 assessment, the 6-month reporting period might have missed identifying some children who might have met diagnostic criteria over a 12-month period, thus creating a false appearance of recovery. Although this may not be ideal, we needed to keep the reporting period the same across assessments in order to have repeated identical measures for the wider study. Fourth, we could not control for possible confounding diagnoses other than age-5 ADHD because they were not assessed. Fifth, we diagnosed CD in 4½–5 year old children. Research on predictive validity is needed on children younger than 4 years of age.
Our focus on outcomes at one age window is liable to yield an underestimate of diagnostic stability and an overestimate of “remission” because CD symptoms wax and wane over time.1 This study examined outcomes at only one age window because this is the situation that resembles what clinicians in practice are likely to face; rarely do they have the benefit of assessing a child on multiple occasions across development. Instead, clinicians will want to know if a preschool child is diagnosed with CD at age 5, what is the probability that he will be diagnosed again if seen by a clinician when in elementary school? What is the probability that, even if he is not diagnosed again with CD, he will continue to have educational difficulties and continue to require mental health and special education services? Should intervention be initiated early in development before problems become entrenched? On the one hand, our definition of “remission” at a single time point at age 10 may be an overestimate. Previous research has shown that whereas 50% of clinic-referred boys meet diagnostic criteria for CD at a single re-assessment, 88% of them meet diagnostic criteria at least once over a 3-year period [20]. On the other hand, our definition of “remission” is relatively conservative, given that remission is defined not as the absence of a CD diagnosis, but as the absence of any CD symptoms (i.e., children with one or two CD symptoms were not classified as “remitted”). Of the 115 children identified as “remitters” at age 10, only 19 (13.1% weighted) of them had met diagnostic criteria for CD at age 7 [18]. Thus, a large majority of our “remitters” appear to have “escaped” a CD diagnosis over more than a single follow-up window and yet continue to have elevated behavioural and educational concerns in middle-childhood.
Without making developmental modifications (aside from dropping the “forced sexual activity” symptom), this study demonstrated that existing DSM-IV criteria for CD can statistically predict continuity of behavioural and academic problems in non-referred preschool-aged children, which should help inform decisions regarding revisions for DSM-V. Increasingly, the controversy over preschool diagnosis appears to be subsiding and data indicate that psychopathology in preschoolers is similar in prevalence rates and diagnostic features to psychopathology seen in older children and adolescents [4]; however, more research is left do be done. Our findings support further efforts to design and validate developmentally appropriate diagnostic procedures for preschoolers so that greater consensus regarding clinical criteria can be achieved. For instance, studies are needed that specifically test whether frequency and duration criteria and symptom definition should differ for children in different developmental periods [36]. Fortunately, this is an opportune time for investigating potential refinements to the diagnostic criteria for CD prior to the release of the next DSM.
Acknowledgments
We are grateful to the Study families and teachers for their participation. We thank Robert Plomin and Michael Rutter for their contributions, Thomas Achenbach for kind permission to adapt the CBCL, and members of the E-Risk team for their dedication, insights, and hard work. This research was supported by grants from the UK Medical Research Council (G9806489 & G0100527), and the ESRC-SCOPIC Network. Dr. Caspi is a recipient of a Royal Society-Wolfson Research Merit Award.
Footnotes
To illustrate, 1-week test–retest reliability of the CD diagnosis assessed by the Kiddie Disruptive Behavior Disorders Schedule, a structured clinical interview, in a clinic-referred sample of pre-schoolers was 0.73 [15], which is very good but falls short of perfect even over a few days.
Contributor Information
Julia Kim-Cohen, Email: julia.Kim-cohen@yale.edu, Dept. of Psychology, Yale University, PO Box 208205, New Haven (CT) 06520, USA.
Louise Arseneault, Institute of Psychiatry, King’s College London, London, UK.
Rhiannon Newcombe, Health Sponsorship Council, Wellington, New Zealand.
Felicity Adams, Institute of Psychiatry, King’s College London, London, UK.
Heather Bolton, Institute of Psychiatry, King’s College London, London, UK.
Lisa Cant, Institute of Psychiatry, King’s College London, London, UK.
Kira Delgado, Institute of Psychiatry, King’s College London, London, UK.
Jo Freeman, Institute of Psychiatry, King’s College London, London, UK; National Academy of Parenting, Pactitioners, London, UK.
Ania Golaszewski, Institute of Psychiatry, King’s College London, London, UK.
Katerina Kelesidi, Institute of Psychiatry, King’s College London, London, UK.
Charlotte Matthews, Institute of Psychiatry, King’s College London, London, UK.
Nicky Mountain, Institute of Psychiatry, King’s College London, London, UK.
Donna Oxley, Institute of Psychiatry, King’s College London, London, UK.
Susanne Watson, Institute of Psychiatry, King’s College London, London, UK.
Helen Werts, Institute of Psychiatry, King’s College London, London, UK.
Avshalom Caspi, Institute of Psychiatry, King’s College London, London, UK; Duke University, Durham, USA.
Terrie E. Moffitt, Institute of Psychiatry, King’s College London, London, UK; Duke University, Durham, USA.
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