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Sex differences in conduct and emotional outcomes for young people with hyperactive/inattentive traits and social communication difficulties between 9 and 16 years of age: a growth curve analysis

Published online by Cambridge University Press:  29 July 2022

Jack Hollingdale
Affiliation:
University College London, London, UK
Emma Woodhouse
Affiliation:
King's College London, London, UK
Susan Young
Affiliation:
Psychology Services Ltd, London, UK
Gisli Gudjonsson
Affiliation:
King's College London, London, UK
Tony Charman
Affiliation:
King's College London, London, UK
Will Mandy*
Affiliation:
University College London, London, UK
*
Author for correspondence: Will Mandy, E-mail: w.mandy@ucl.ac.uk
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Abstract

Background

The purpose of this paper is to identify the trajectory of conduct and emotional problems for young people within the general population at four time points (between 9 years 7 months and 16 years 6 months), investigate their relationship with hyperactive/inattentive traits and explore the moderating effect of autistic social traits (ASTs).

Methods

Data from 9305 individuals involved in The Avon Longitudinal Study of Parents and Children (ALSPAC) study were included. Conduct and emotional problems and hyperactive/inattentive traits were measured by the Strengths and Difficulties Questionnaire. ASTs were assessed using the Social Communication Disorder Checklist. Individual trajectories for conduct and emotional problems were identified via growth curve modelling. Hyperactive/inattentive traits were included within the growth curve model as a time-varying covariate to determine their effect on these outcomes. Finally, participants were split into two groups (below and above clinical threshold ASTs Groups) and multi-group invariance testing was conducted on the data to identify the moderating effect of ASTs on the relationship between hyperactive/inattentive traits and outcomes (i.e. conduct and emotional problems).

Results

Hyperactive/inattentive traits were associated with higher rates of conduct and emotional problems for both boys and girls. The presence of ASTs moderated these relationships for boys, but not for girls, by increasing the risk of boys with hyperactive/inattentive traits developing greater conduct and emotional problems.

Conclusions

These findings underscore the importance of identifying hyperactive/inattentive traits and ASTs in young people and addressing the increased risk of conduct and emotional problems. Research and clinical implications are explored.

Type
Original Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
Copyright © The Author(s), 2022. Published by Cambridge University Press

Introduction

Attention deficit hyperactivity disorder (ADHD) is one of the most common psychiatric conditions experienced by young people (defined here as males and females under 18 years of age) and is associated with a range of co-occurring conditions (American Psychiatric Association (APA), 2013). This includes conduct problems and emotional difficulties, which cause functional impairments across different life domains (Deault, Reference Deault2010).

High rates of co-occurring neurodevelopmental atypicalities, specifically autistic social traits (ASTs), have been identified in young people with ADHD (Hollingdale, Woodhouse, Young, Fridman, & Mandy, Reference Hollingdale, Woodhouse, Young, Fridman and Mandy2020; Larson, Russ, Kahn, & Halfon, Reference Larson, Russ, Kahn and Halfon2011; Pourcain et al., Reference Pourcain, Mandy, Heron, Golding, Smith and Skuse2011) and are also associated with conduct and emotional problems (Mandy, Skuse, Steer, St Pourcain, & Oliver, Reference Mandy, Skuse, Steer, St Pourcain and Oliver2013; Oliver, Barker, Mandy, Skuse, & Maughan, Reference Oliver, Barker, Mandy, Skuse and Maughan2011). Therefore, the presence of both ADHD traits and ASTs may exacerbate the frequency and severity of difficulties.

The current research will explore the relationships between ADHD traits and conduct/emotional problems over time. Due to high rates of co-occurring ASTs, it will also investigate the relationship that co-occurring AST's have on these relationships.

Attention deficit hyperactivity disorder (ADHD)

ADHD is a neurodevelopmental disorder characterised by a persistent pattern of inattention and/or hyperactivity-impulsivity which impairs daily living or typical development (APA, 2013). The ADHD worldwide-pooled prevalence is 5.29–7.2% (Polanczyk, De Lima, Horta, Biederman, & Rohde, Reference Polanczyk, De Lima, Horta, Biederman and Rohde2007; Thomas, Sanders, Doust, Beller, & Glasziou, Reference Thomas, Sanders, Doust, Beller and Glasziou2015) and rates are comparable across cultures (Faraone, Sergeant, Gillberg, & Biederman, Reference Faraone, Sergeant, Gillberg and Biederman2003). The profile of ADHD symptoms is known to change. Both hyperactive/impulsive and inattentive symptoms can reduce over time (Francx et al., Reference Francx, Zwiers, Mennes, Oosterlaan, Heslenfeld, Hoekstra and Buitelaar2015; Willcutt et al., Reference Willcutt, Nigg, Pennington, Solanto, Rohde, Tannock and Lahey2012). However, this may partially be attributed to developing management strategies with age.

ADHD is increasingly being conceptualised dimensionally rather than categorically (Coghill & Sonuga-Barke, Reference Coghill and Sonuga-Barke2012; Frazier, Youngstrom, & Naugle, Reference Frazier, Youngstrom and Naugle2007; Lubke, Hudziak, Derks, van Bijsterveldt, & Boomsma, Reference Lubke, Hudziak, Derks, van Bijsterveldt and Boomsma2009; Marcus & Barry, Reference Marcus and Barry2011; Nigg, Goldsmith, & Sachek, Reference Nigg, Goldsmith and Sachek2004; Polderman et al., Reference Polderman, Derks, Hudziak, Verhulst, Posthuma and Boomsma2007; Sonuga-Barke, Reference Sonuga-Barke2005). This change in thinking has resulted from similar rates of heritability between those with low, moderate and high rates of attentional difficulties (Gjone, Stevenson, & Sundet, Reference Gjone, Stevenson and Sundet1996), recognition of fluidity of symptoms between ADHD categories (Lahey, Pelham, Loney, Lee, & Willcutt, Reference Lahey, Pelham, Loney, Lee and Willcutt2005) and a greater emphasis on the severity of impairment rather than symptoms (Haslam et al., Reference Haslam, Williams, Prior, Haslam, Graetz and Sawyer2006).

Sex differences have been identified between males and females with ADHD. Community and clinical referral rates for ADHD diagnoses are higher for males than females, with ratios between 3:1 and 16:1 (Nøvik et al., Reference Nøvik, Hervas, Ralston, Dalsgaard, Pereira and Lorenzo2006; Willcutt, Reference Willcutt2012), suggesting possible biases in the identification of the condition for males. Higher rates in males have been linked to increased genetic vulnerability and differences in psychosocial factors (Hinshaw, Reference Hinshaw2018; Zuddas, Banaschewski, Coghill, & Stein, Reference Zuddas, Banaschewski, Coghill and Stein2018). In addition, females with ADHD differ from males in their symptom profile, co-occurring conditions and functional impairments (Biederman et al., Reference Biederman, Kwon, Aleardi, Chouinard, Marino, Cole and Faraone2005; Young et al., Reference Young, Adamo, Asgeirsdottir, Branney, Beckett, Colley and Woodhouse2020a).

The onset of ADHD is different for each individual and the age range during which ADHD symptoms manifest is debated in the literature (Kieling et al., Reference Kieling, Kieling, Rohde, Frick, Moffitt, Nigg and Castellanos2010). However, as ADHD is a neurodevelopmental condition, ADHD symptoms can often proceed conduct and emotional problems (Loeber & Hay, Reference Loeber and Hay1997; Loeber, Green, Keenan, & Lahey, Reference Loeber, Green, Keenan and Lahey1995; Stern et al., Reference Stern, Agnew-Blais, Danese, Fisher, Matthews, Polanczyk and Arseneault2020). The precise genetic, psycho-biological, environmental and contextual mechanisms for this are beyond the scope of this paper.

Conduct and emotional problems

Conduct problems (also known as ‘externalising problems’) are actions carried out in the external world, such as antisocial behaviour, hostility, aggression and substance misuse (McMahon, Wells, & Kotler, Reference McMahon, Wells, Kotler, Mash and Barkley2006). However, some conduct problems such as alcohol misuse may arise as a consequence of emotional problems (Rosenfield, Lennon, & Raskin White, Reference Rosenfield, Lennon and Raskin White2005). Emotional problems (also known as ‘internalising problems’) are characterised as internal processes, such as anxiety or depression (Forms, Abad, & Kirchner, Reference Forms, Abad, Kirchner and Levesque2011). Due to their internal manifestation, they are often more difficult to identify than conduct problems.

The prevalence and trajectories of conduct and emotional difficulties differ between males and females. Boys are reported to experience more conduct difficulties than girls (Broidy et al., Reference Broidy, Nagin, Tremblay, Bates, Brame, Dodge and Vitaro2003). Despite some variation, this pattern persists across different ethnic groups (McLaughlin, Hilt, & Nolen-Hoeksema, Reference McLaughlin, Hilt and Nolen-Hoeksema2007). Over time, conduct problems reduce for both boys and girls, but emotional problems increase for girls (Leve, Kim, & Pears, Reference Leve, Kim and Pears2005).

Conduct problems

ADHD

Research indicates that the symptom overlap between ADHD and conduct disorder is partially due to shared genetic aetiology between the conditions (Faraone, Biederman, Mennin, Russell, & Tsuang, Reference Faraone, Biederman, Mennin, Russell and Tsuang1998). As many as 30% of young people with ADHD in the general population meet diagnostic criteria for conduct disorder (Wolraich, Hannah, Baumgaertel, & Feurer, Reference Wolraich, Hannah, Baumgaertel and Feurer1998) and up to 50% in clinical samples (Newcorn et al., Reference Newcorn, Halperin, Jensen, Abikoff, Arnold, Cantwell and Hechtman2001). Rates of co-occurrence are lower for females (Biederman et al., Reference Biederman, Mick, Faraone, Braaten, Doyle, Spencer and Johnson2002). Research has identified that sub-diagnostic ADHD traits predict associated features of ADHD, including conduct problems and emotional problems (Marcus & Barry, Reference Marcus and Barry2011). However, further research is required to understand the relationship between ADHD traits and conduct problems between males and females.

Familial environments also affect the association between ADHD and conduct problems. For example, conflict within the family moderates the association between ADHD and conduct problems for both boys and girls. (Sigfusdottir et al., Reference Sigfusdottir, Asgeirsdottir, Hall, Sigurdsson, Young and Gudjonsson2017).

Previous research has shown an inconsistent relationship between ADHD, oppositional defiant disorder (ODD) and conduct disorder for both males and females (Costello, Mustillo, Erkanli, Keeler, & Angold, Reference Costello, Mustillo, Erkanli, Keeler and Angold2003; Lahey, McBurnett, & Loeber, Reference Lahey, McBurnett, Loeber, Lewis and Sameroff2000). However, more recent research has identified that ADHD predicts ODD and conduct disorder for both sexes (Bendiksen et al., Reference Bendiksen, Svensson, Aase, Reichborn-Kjennerud, Friis, Myhre and Zeiner2017; Ottosen et al., Reference Ottosen, Larsen, Faraone, Chen, Hartman, Larsson and Dalsgaard2019).

Social communication difficulties

Social communication difficulties include deficits in social reciprocity and verbal/nonverbal abilities which are core diagnostic features of autism spectrum disorder (ASD) (autism) (APA, 2013). Irrespective of diagnostic thresholds, elevated social communication difficulties are associated with functional impairments, specifically behavioural difficulties (Hoch & Symons, Reference Hoch and Symons2007) and conduct problems (Skuse et al., Reference Skuse, Mandy, Steer, Miller, Goodman, Lawrence and Golding2009).

Deficits in social-cognition (the cognitive ability to respond appropriately during social interactions) have been linked to conduct problems (Oliver et al., Reference Oliver, Barker, Mandy, Skuse and Maughan2011) and ASTs moderate the relationship between oppositionality and conduct problems in mid-and- late childhood (Mandy et al., Reference Mandy, Skuse, Steer, St Pourcain and Oliver2013).

Emotional problems

ADHD

Young people with ADHD, and particularly females, are more likely to experience emotional difficulties (Rapee et al., Reference Rapee, Oar, Johnco, Forbes, Fardouly, Magson and Richardson2019; Schatz & Rostain, Reference Schatz and Rostain2006) and are more likely to receive a diagnosis of Generalised Anxiety Disorder (Gershon & Gershon, Reference Gershon and Gershon2002; Safren, Lanka, Otto, & Pollack, Reference Safren, Lanka, Otto and Pollack2001). Young people with ADHD are also more likely to experience depression and higher rates of depression are associated with higher rates of anxiety (Blackman, Ostrander, & Herman, Reference Blackman, Ostrander and Herman2005). These findings are indicative of a complex and multidirectional relationship between ADHD and emotional problems and the co-occurrence of mental health conditions increases the risk of long-term impairments and suicide (Daviss, Reference Daviss2008).

Social communication difficulties

Autistic young people are more likely to experience anxiety, depression and mood problems than their non-autistic peers (Kanne, Abbacchi, & Constantino, Reference Kanne, Abbacchi and Constantino2009; Kim, Szatmari, Bryson, Streiner, & Wilson, Reference Kim, Szatmari, Bryson, Streiner and Wilson2000; Leyfer et al., Reference Leyfer, Folstein, Bacalman, Davis, Dinh, Morgan and Lainhart2006; Simonoff et al., Reference Simonoff, Pickles, Charman, Chandler, Loucas and Baird2008; White, Oswald, Ollendick, & Scahill, Reference White, Oswald, Ollendick and Scahill2009). Young people with autism-like traits (but are below the diagnostic threshold for autism) also experience greater anxiety and depression than young people with fewer autism-like traits (Lundström et al., Reference Lundström, Chang, Kerekes, Gumpert, Råstam, Gillberg and Anckarsäter2011). Specifically, young people with more ASTs experience greater social anxiety (Pickard, Rijsdijk, Happé, & Mandy, Reference Pickard, Rijsdijk, Happé and Mandy2017; Skuse et al., Reference Skuse, Mandy, Steer, Miller, Goodman, Lawrence and Golding2009) than those with fewer ASTs. In addition, autistic females are more likely to experience anxiety, depression and somatic symptoms than autistic males (Hatta, Hosozawa, Tanaka, & Shimizu, Reference Hatta, Hosozawa, Tanaka and Shimizu2019; Solomon Miller, Taylor, Hinshaw, & Carter, Reference Solomon, Miller, Taylor, Hinshaw and Carter2012).

ADHD and Co-occurring social communication difficulties

An estimated 21% of young people with ADHD experience co-occurring autism (Hollingdale et al., Reference Hollingdale, Woodhouse, Young, Fridman and Mandy2020) and significant correlations have been found between ADHD and autistic traits within the general population (Hollingdale et al., Reference Hollingdale, Woodhouse, Young, Fridman and Mandy2020; Ronald, Simonoff, Kuntsi, Asherson, & Plomin, Reference Ronald, Simonoff, Kuntsi, Asherson and Plomin2008).

Co-occurring ADHD and autism is associated with higher rates of general psychopathology compared with having one diagnosis but not the other (Holtmann, Bölte & Poustka, Reference Holtmann, Bölte and Poustka2007). For example, there are higher rates of cognitive impairment (Rao & Landa, Reference Rao and Landa2014), including verbal memory, recall (Andersen, Hovik, Skogli, Egeland, & Øie, Reference Andersen, Hovik, Skogli, Egeland and Øie2013), sustained attention (Sinzig, Bruning, Morsch, & Lehmkuhl, Reference Sinzig, Bruning, Morsch and Lehmkuhl2008), social impairment (Rao & Landa, Reference Rao and Landa2014), adaptive behaviour (Yerys et al., Reference Yerys, Wallace, Sokoloff, Shook, James and Kenworthy2009), and oppositional defiant disorder and conduct disorder (Mulligan et al., Reference Mulligan, Anney, O'Regan, Chen, Butler, Fitzgerald and Nijmeijer2009). Young people with both ADHD and autism experience higher rates of oppositionality and aggression, tantrum behaviours, conduct problems, worry and depression than young people who have ADHD or autism without co-occurring conditions (Guttmann-Steinmetz, Gadow, & DeVincent, Reference Guttmann-Steinmetz, Gadow and DeVincent2009; Guttmann-Steinmetz, Gadow, DeVincent, & Crowell, Reference Guttmann-Steinmetz, Gadow, DeVincent and Crowell2010; Jang et al., Reference Jang, Matson, Williams, Tureck, Goldin and Cervantes2013). Furthermore, research indicates that young people with both ADHD and autism have greater adaptive functioning difficulties and a poorer health-related quality of life than their peers without these conditions. (Sikora, Vora, Coury, & Rosenberg, Reference Sikora, Vora, Coury and Rosenberg2012). Due to the limited number of females included in previous studies investigating co-occurring ADHD and autism, it is difficult to ascertain whether difficulties manifest differently for males and females.

It is important to acknowledge there may be sex differences in the presentation of ADHD and autism. For ADHD, girls may experience lower levels of hyperactivity, impulsivity and (externalised) behavioural problems than boys. They may also experience higher rates of (internalising) emotional problems (Gaub & Carlson, Reference Gaub and Carlson1997; Gershon & Gershon, Reference Gershon and Gershon2002). Autistic girls may have more severe communicational difficulties, anxiety, depression (Hartley & Sikora, Reference Hartley and Sikora2009) and behavioural problems compared with boys (Dworzynski, Ronald, Bolton, & Happé, Reference Dworzynski, Ronald, Bolton and Happé2012).

Aims of the current study

There are reported sex differences in the presentation of ADHD and autism. For ADHD, girls may experience lower levels of hyperactivity, impulsivity and (externalised) behavioural problems than boys. They may also experience higher rates of (internalising) emotional problems (Gaub & Carlson, Reference Gaub and Carlson1997; Gershon & Gershon, Reference Gershon and Gershon2002). Autistic girls may have more severe communicational difficulties, anxiety, depression (Hartley & Sikora, Reference Hartley and Sikora2009) and behavioural problems compared with boys (Dworzynski et al., Reference Dworzynski, Ronald, Bolton and Happé2012). Despite emerging evidence for the relationship between conduct problems and ADHD (Sigfusdottir et al., Reference Sigfusdottir, Asgeirsdottir, Hall, Sigurdsson, Young and Gudjonsson2017), further research is required to assess whether ADHD (across the full spectrum of severity) is associated with higher conduct and emotional problems.

Current literature lacks clarity about the extent to which ASTs affect the relationship between ADHD traits and conduct/emotional problems. To our knowledge, this has not been previously investigated comparing boys and girls using a longitudinal population-based methodology.

The current study aimed to investigate the extent to which dimensionally-measured ADHD traits are associated with conduct and emotional problems for boys and girls within the general population; and the extent to which dimensionally-measured ASTs moderate this relationship. To this end, the current study addresses the following questions:

  1. (1) What association is there between hyperactive/inattentive traits and conduct/emotional problems for boys and girls between the ages of 9 and 16?

  2. (2) Do ASTs moderate the conduct and emotional problem trajectories for boys and girls differently?

Method

Design of original study

The Avon Longitudinal Study of Parents and Children (ALSPAC) is a longitudinal general population cohort measuring the health and development of young people. Pregnant women resident in Avon, UK, with expected dates of delivery 1 April 1991 to 31 December 1992 were eligible for participation. The final cohort consisted of 15 454 pregnancies of which 14 901 births were alive at one year of age (Boyd et al., Reference Boyd, Golding, Macleod, Lawlor, Fraser, Henderson and Davey Smith2013; Fraser et al., Reference Fraser, Macdonald-Wallis, Tilling, Boyd, Golding, Davey Smith and Ring2012).

Please note that the study website contains details of all the data that is available through a fully searchable data dictionary and variable search tool (http://www.bristol.ac.uk/alspac/researchers/our-data/).

Present study

Participants

Participants' trait data were extracted at four time points: Time 1 (average age 9 years and 7 months), Time 2 (11 years and 8 months), Time 3 (13 years and 1 month), and Time 4 (16 years and 6 months). Participants were included in the study if they had completed data from at least one time point.

Of the 9305 young people included within this study (boys = 4675 and girls = 4630), 49.8% were female, 96.1% were white, 15.5% had mothers with a university degree, and 81.1% had a parent who owned their own home (see Table 1). There were no statistically significant sex differences for these demographics. Only those who completed the relevant measures were included within the current study. Compared with participants of the original cohort who were not included within this analysis, the current participants were more likely to have a mother who: had a degree (OR = 2.40, 95% CI [2.09, 2.74]); and was a home owner (OR = 2.93, 95% CI [2.71, 3.17]). Compared to those included within the study, those who were not included were more likely to be from a minority ethnic background (OR 1.99, 1.69, 2.34).

Table 1. Differences between those included and excluded from analysis

a Data missing for 591 young people.

Measures

The Strengths and Difficulties Questionnaire (SDQ): The SDQ is a 25-item behavioural screening questionnaire which is divided into five scales: internalising difficulties, conduct problems, hyperactivity/inattention traits, peer relationship problems and prosocial behaviour. Parents are asked to consider their child's behaviour in the last six months, using a three-point Likert scale, and identify the extent to which each attribute applies to their child; ‘not true’, ‘somewhat true’ and ‘certainly true’.

The SDQ is a valid screening tool for multi-dimensional behaviour and mental health in the general population (Goodman, Reference Goodman2001; Goodman & Goodman, Reference Goodman and Goodman2009). Research indicates that it is an effective dimensional measure of psychopathology (Goodman & Goodman, Reference Goodman and Goodman2011) within clinical populations (Becker, Woerner, Hasselhorn, Banaschewski, & Rothenberger, Reference Becker, Woerner, Hasselhorn, Banaschewski and Rothenberger2004) and across different cultural and ethnic populations (Mieloo et al., Reference Mieloo, Bevaart, Donker, van Oort, Raat and Jansen2013; Muris, Meesters, & van den Berg, Reference Muris, Meesters and van den Berg2003).

Croft, Stride, Maughan, and Rowe (Reference Croft, Stride, Maughan and Rowe2015) identified moderate to good internal reliability and construct validity for each of the five scales of the SDQ for young people and importantly that the item-factor structures did not change over time.

The Social Communication Disorder Checklist (SCDC): The SCDC is 12-item scale which requires parents to rate their child's social reciprocity and verbal/nonverbal characteristics during the previous six months. However, it should be noted that the SCDC does not investigate the restricted and repetitive behaviours and interests associated with ASD, and therefore this paper focuses on the social reciprocity and social communication difficulties associated with ASD (i.e. ASTs). Items are scored 0 (‘not true’), 1 (‘quite or sometimes true’) and 2 (‘very or often true’). Thus, scores range from 0 to 24 with higher scores reflecting greater difficulties with social communication. Total scores of eight or greater are considered to be clinically significant (Skuse et al., Reference Skuse, Mandy, Steer, Miller, Goodman, Lawrence and Golding2009).

The SCDC is an effective first-level screening questionnaire and dimensional measure of ASTs (Skuse, Mandy, & Scourfield, Reference Skuse, Mandy and Scourfield2005). Skuse et al. (Reference Skuse, Mandy and Scourfield2005) found that traits measured by the SCDC were highly heritable in both sexes (0.74). Internal consistency was excellent (0.93) and test–retest reliability was high (0.81). Discriminant validity between pervasive developmental disorder and other clinical groups was good, discrimination from non-clinical samples was better; sensitivity (0.90), specificity (0.69). Further evidence of construct validity comes from the findings that variability in SCDC scores is partly driven by genetic effects that also influence risk of a clinical autism diagnosis (Robinson et al., Reference Robinson, St Pourcain, Anttila, Kosmicki, Bulik-Sullivan, Grove and Martin2016).

Procedure

Data from the SDQ was extracted at four time points and the SCDC data was recorded when participants were aged 7 years and 8 months because autistic traits, as measured by the SCDC, have been reported to remain highly stable over time (Pourcain et al., Reference Pourcain, Mandy, Heron, Golding, Smith and Skuse2011; Robinson et al., Reference Robinson, Munir, Munafò, Hughes, McCormick and Koenen2011).

Analyses

Research Question 1: What association is there between hyperactive/inattentive traits and conduct/emotional problems for boys and girls between the ages of 9 and 16?

Trait trajectories of conduct and emotional problems were identified as a precursor to investigating the relationship of hyperactivity/inattention and these outcomes. Item-level missing data were addressed by using proration in accordance with recommendations by Graham (Reference Graham2009). Thus, for participants with 50% or less item-level missing data the mean of a participant's observed scores was imputed into their missing scores prior to the conduction of any analysis. Separate growth curve models were then built to characterise change in conduct and emotional problems between the ages of 9 and 16 for all participants.

All models were constructed in Analysis of Moment Structures (AMOS) Version 24 (Arbuckle, Reference Arbuckle2016) and were estimated using a maximum likelihood estimator (MLE). MLE is the most popular and recommended method of estimation, to deal with missing data, due to being a totally analytical maximisation procedure (Scholz, Reference Scholz2014).

Growth curve modelling was used to identify trajectories for conduct and emotional problems over time. Initially, linear growth curve models were built for all 9305 participants. Model fit was evaluated using the χ2 goodness-of-fit test, comparative fit index (CFI), root mean square error of approximation (RMSEA) and Akaike's information criterion (AIC). A CFI value of 0.90 or greater was considered an acceptable fit (Bentler, Reference Bentler1992) and a value of 0.95 or greater was considered to represent a good fitting model (Hu & Bentler, Reference Hu and Bentler1999). RMSEA values less than 0.05 indicated good fit, and between 0.05 and 0.08 reasonable fit (Browne & Cudeck, Reference Browne, Cudeck, Bollen and Long1993). Values between 0.08 and 0.10 indicated mediocre fit and greater than 0.10 represented a poor-fitting model (MacCallum, Browne, & Sugawara, Reference MacCallum, Browne and Sugawara1996). Regarding the AIC, when comparisons are made between two models, smaller values represented a better fitting model (Hu & Bentler, Reference Hu, Bentler and Hoyle1995). In addition, quadratic terms were included across models to account for the non-linear change. To determine whether trait trajectories differed between males and females, sex was included within the conduct and emotional problems models as a predictor variable, see online Supplementary Materials for means and standard deviations of outcomes by gender and time points.

A univariate growth model with time-varying covariates was used to determine whether hyperactive/inattentive traits affect the trajectories of conduct and emotional problems (Muthén & Muthén, Reference Muthén and Muthén2009). Time-varying covariates allow for the values of the covariate to change over time, in this case hyperactive/inattentive traits, and have an effect on the outcome variables; conduct and emotional problems (Muthén, Reference Muthén2002). The inclusion of hyperactive/inattentive traits as a time-varying covariate determined whether hyperactive/inattentive traits are associated with conduct and emotional problems at each time point, above and beyond the trajectory processes underlying the development of these problems. In other words, whether hyperactive/inattentive traits are associated with variability in the trajectory of conduct and emotional problems over time. Although the value of the time-varying covariate can change across time, the parameter value estimating the effect of the time-varying covariate on the outcomes are assumed to be constant across time (McCoach & Kaniskan, Reference McCoach and Kaniskan2010).

Research Question 2: Do ASTs moderate the conduct and emotional problem trajectories for boys and girls differently?

To determine whether ASTs moderate the relationship between hyperactive/inattentive traits and conduct and emotional problems it was necessary to identify whether these relationships were different between young people who were reported to have fewer or more ASTs. To achieve this, multi-group invariance testing was carried out (i.e. testing for sameness or non-change).

Boys and girls were grouped by their total SCDC scores: Below clinical threshold (scores equal to or less than seven) and Above clinical threshold (scores equal to or greater than eight) (Skuse et al., Reference Skuse, Mandy, Steer, Miller, Goodman, Lawrence and Golding2009). Our multi-group approach tested whether the relationships between hyperactive/inattentive traits and the outcome variables (i.e. conduct problems, emotional problems) at each time point were different for the Below and Above Group.

Results

Research Question 1: What is the relationship between hyperactive/inattentive traits, conduct and emotional problems for boys and girls between the ages of 9 and 16?

In all cases, models that included a quadratic term best fit the data for conduct and emotional problems, see online Supplementary Materials. Therefore, a quadratic term was included in all further models (Byrne, Reference Byrne2013). Good fitting models were identified for both boys and girls when hyperactive/inattentive traits were added as a time-varying covariate at each time point, see online Supplementary Materials.

Results indicated that both boys and girls with greater hyperactive/inattentive traits had significantly greater conduct and emotional problems at all ages than would be expected by their individual trajectories alone (p < 0.001), see Table 2.

Table 2. Standardised regression weights (β) of hyperactive/inattentive traits on conduct problems (CP) and emotional problems (EP) for Model 1

* p < 0.001.

Research Question 2: Do ASTs moderate the conduct and emotional problem trajectories for boys and girls differentially?

Applying the clinical threshold cut-off of 8, the boys and girls were divided into either a Below Group or Above Group, see Table 3 for group n's. Multi-group invariance testing was conducted for boys and girls separately.

Table 3. Group n's by gender and conduct and emotional problems

For girls, invariance was identified between the Below and Above Groups for both conduct problems (Δχ2 = 4.842, p = 0.304) and emotional problems (Δχ2 = 2.511, p = 0.643). Thus, fixing the pathways from hyperactivity/inattention to the outcome variables at all four time points did not reduce model fit. This indicates that ASTs do not moderate the relationship between hyperactive/inattentive traits and either conduct and emotional problems for girls across these time points.

For boys, a different pattern of results was observed. Non-invariance was identified between the Below and Above Groups in boys for both conduct problems (Δχ2 = 14.670, p < 0.01) and emotional problems (Δχ2 = 19.162, p = 0.001). Thus, there is a different effect of hyperactive/inattentive traits on conduct and emotional problems in boys with fewer ASTs and boys with more ASTs. See Table 4 for regression estimates for boys and online Supplementary Materials for regression estimates for girls.

Table 4. Standardised regression weights (β) for Below clinical threshold ASTs Group and Above clinical threshold ASTs Group for conduct problems (CP) and emotional problems (EP) for boys

* p < 0.001.

Having determined the presence of non-invariance for boys, additional analyses were conducted to identify at which specific time points the presence of ASTs affected the relationship between hyperactive/inattentive traits and conduct and emotional problems.

Regarding conduct problems, non-invariance was identified between the two male ASTs Groups at three time points: Time 2, Time 3, and Time 4 but not at Time 1. For emotional problems, non-invariance between the two groups was identified at Time 1, Time 3, and Time 4 but not at Time 2. See Fig. 1.

Fig. 1. β regression weights of non-invariance between Below Group (left) and Above (right) for conduct problems (CP) (top) and emotional problems (EP) (bottom) for boys. Bold lines denote significantly different χ2 values between the two groups.

These findings of non-invariance arose because the effects of hyperactive/inattentive traits were greater for the Above Group compared with the Below Group for both conduct and emotional problems. To put this another way, the relationship between ADHD traits and conduct/emotional problems was greater for boys with elevated ASTs compared to those with lower AST's. The same did not hold true for girls.

Discussion

The literature has consistently reported gender differences in the impact of ADHD on conduct and emotional problems for young people (Gershon & Gershon, Reference Gershon and Gershon2002; Young et al., Reference Young, Adamo, Asgeirsdottir, Branney, Beckett, Colley and Woodhouse2020a). This study has provided insight into this relationship and identified an important moderator in the process. Hyperactive/inattentive traits were associated with higher rates of conduct and emotional problems for both boys and girls across late childhood and adolescence. ASTs did not affect the relationship between hyperactive/inattentive traits, conduct or emotional problems in girls, but they did in boys. Hence ASTs increase the risk that boys with hyperactive/inattentive traits will experience higher levels of conduct problems, at the ages of 11, 13 and 16, and emotional problems, at the age of 9, 13 and 16. These findings offer new insights into the trajectories of these difficulties for boys and girls during childhood and adolescence.

Hyperactive/inattentive traits were associated with significantly higher levels of conduct and emotional problems for both males and females at all ages than would be expected by their individual trajectories alone. These findings extend previous research attributing increased hyperactive/inattentive trait severity to higher rates of conduct problems (Côté, Tremblay, Nagin, Zoccolillo, & Vitaro, Reference Côté, Tremblay, Nagin, Zoccolillo and Vitaro2002; Shaw, Lacourse, & Nagin, Reference Shaw, Lacourse and Nagin2005; Waschbusch, Reference Waschbusch2002) and emotional problems (Daviss, Reference Daviss2008; Safren et al., Reference Safren, Lanka, Otto and Pollack2001) over time. However, other factors, such as family conflict, may mediate these relationships and require further exploration (Sigfusdottir et al., Reference Sigfusdottir, Asgeirsdottir, Hall, Sigurdsson, Young and Gudjonsson2017).

With respect to the association between AST's and conduct and emotional problems, the identified sex difference may reflect sex differences in autism traits more generally, i.e. autistic girls experience fewer conduct and social problems (Mandy et al., Reference Mandy, Chilvers, Chowdhury, Salter, Seigal and Skuse2012) which in turn have a lesser effect on the relationship between hyperactive/inattentive traits and conduct and emotional difficulties.

Clinical implications

The findings from this study should be used to inform the assessment, management and treatment strategies provided by educational and mental health services. Of particular importance is the accurate and timely identification of hyperactive/inattentive traits and ASTs, which can have a significant effect on behavioural and emotional outcomes across childhood and adolescence. There are two comprehensive and helpful resources available in open access publications providing clinical guidance and practical advice on the clinical approach for the care of people with co-occurring ADHD and autism (Young et al., Reference Young, Adamo, Asgeirsdottir, Branney, Beckett, Colley and Woodhouse2020a; Young et al., Reference Young, Hollingdale, Absoud, Bolton, Branney, Colley and Woodhouse2020b).

The findings from this study also provide evidence for the need to assess for the presence of ASTs, particularly in boys, in order to more effectively manage and treat their difficulties. The identified sex differences may strongly contribute to the different rates of referrals for boys and girls with either ADHD, autism or both.

In addition, the more severe conduct and emotional problems experienced by boys may mask other neurodevelopmental symptoms and result in misdiagnoses, leading to inappropriate or ineffective interventions and support. In other words, young boys may be diagnosed with ADHD and conduct disorder and underlying autism or ASTs may be missed.

Girls may benefit more from management strategies and treatment approaches that target symptoms of ADHD as opposed to ASTs in order to support their conduct and emotional problems. These findings further emphasise the need to consider the co-occurrence of ADHD and autism traits when working clinically with young people who are presenting with ADHD or autism in isolation. In addition, given the shared features and associated co-occurring conditions, further consideration should be given to the development of transdiagnostic approaches to treat and manage these conditions. The findings from the current study also offer some weight to the value of utilising a dimensional rather than a categorical approach when working with young people.

Given changes in conduct and emotional problems at different times for both boys and girls with ADHD, and boys with co-occurring ASTs, regular reviews should be conducted at key periods of personal transition, for example, transitions to secondary school and/or leaving school. Reviews should involve a collaborative approach with the young person, their family, neurodevelopmental services, Child and Adolescent Mental Health Services (CAMHS) and education professionals. In addition, it is important to raise awareness and training for CAMHS practitioners, educators and educational services about these findings in order to support their preparation and provisions for young people.

Strengths and limitations

Strengths of the current study include the large general population sample, the inclusion of comparable numbers of boys and girls, and measurements at four time points, two-three years apart. Previous studies have often been limited to much smaller clinical samples, with disproportionately higher ratios of males, in order to explore the relationship between ADHD traits, conduct and emotional problems. Furthermore, a dimensional approach to all conditions removed any limitation that might be presented by using a categorical approach, for example the fact that more boys are diagnosed with ADHD and autism than girls (Fombonne, Reference Fombonne2003; Gaub & Carlson, Reference Gaub and Carlson1997), would bias the sample and findings. In addition, very few studies have explored patterns of change in these relationships over time and have been limited to group comparisons or two-wave designs. We acknowledge however that clinical studies have the advantage of investigating patients with severe presentations which is informative for healthcare practitioners in clinical practice.

Regarding limitations, firstly it should be noted that the SDQ was completed by parents. Therefore, perceived conduct and emotional problems may diverge from the child's actual experiences or the degree to which these experiences may impact on their functioning at home or alternative environments, such as school (Eiser & Morse, Reference Eiser and Morse2001; Staller & Faraone, Reference Staller and Faraone2006; Van der Meer, Dixon, & Rose, Reference Van der Meer, Dixon and Rose2008; Van Roy, Groholt, Heyerdahl, & Clench-Aas, Reference Van Roy, Groholt, Heyerdahl and Clench-Aas2010). Secondly, only social communication difficulties were included in the multi-group analysis. It may be that the inclusion of restricted and repetitive behaviours and interests (core diagnostic features of autism) would have impacted on the observed variance. Thirdly, as a result of the SCDC cut off of eight (Skuse et al., Reference Skuse, Mandy, Steer, Miller, Goodman, Lawrence and Golding2009) the Above clinical threshold AST Group was comprised of far fewer young people than the Below clinical threshold AST Group and this may have had an impact on statistical power. Fourthly, the ASTs were measured at Time 1 (age 9 years) and whilst ASTs have been identified to remain relatively stable over time (Pourcain et al., Reference Pourcain, Mandy, Heron, Golding, Smith and Skuse2011), modelling ASTs at each time point may have been more accurate. The final measurement (Time 4) was taken when the young people were aged 16 years old. ADHD symptoms are known to change across the lifespan (Barkley, Fischer, Smallish, & Fletcher, Reference Barkley, Fischer, Smallish and Fletcher2002; Faraone, Biederman, & Mick, Reference Faraone, Biederman and Mick2006; Kooij, Buitelaar, Furer, Rijnders, & Hodiamont, Reference Kooij, Buitelaar, Furer, Rijnders and Hodiamont2005) and the time points selected for this study do not provide insight into the impact of ADHD symptoms and the moderating effect of ASTs on conduct and emotional problems into adulthood.

Future work should attend to the following limitations; whilst our approach accommodates potential shifts in hyperactive/inattentive symptoms overtime by treating hyperactive/inattentive symptoms as a time-variant covariate, we did not model the trajectory of hyperactivity/inattention change. Therefore, it is not possible to determine whether the time points used reflect progressive changes in symptoms or random fluctuations. In addition, because a univariate growth model, rather than a multivariate latent trajectory model was used, it is not possible to determine whether conduct and emotional problems are associated with changes in the trajectory of hyperactive/inattentive traits. Future research should consider whether there is a bi-directional relationship between the trajectories of conduct and emotional problems and hyperactive/impulsive traits.

It is important to recognise that parental report and associated biases may (at least partially) account for these findings. Existing research has indicated that parents tend to over-report conduct problems in boys and the underreport conduct problems in girls (Van Roy et al., Reference Van Roy, Groholt, Heyerdahl and Clench-Aas2010; Webster-Stratton, Reference Webster-Stratton1996). This is likely to contribute to the under-identification and subsequent lack of treatment for girls (Rucklidge, Reference Rucklidge2010).

Research implications

Future research could expand the age range included within this study to better understand the onset of the relationship between ADHD traits and conduct and emotional problems and the trajectories for males and females of these outcomes into late adolescence, adulthood and even older adulthood. Functional impairments resulting from these problems could also be addressed. In addition, the current time points (9 years – 16 years) are likely to cover the onset of puberty for the majority of young people in the study. Future research could take into account the role and effect that this key developmental period may have on fluctuations in the trajectories of conduct and emotional problems.

In addition, selective characteristics of autism and ADHD were applied, future research could include other autism symptoms, such as restricted and repetitive behaviours and interests, or ADHD symptoms, such as impulsivity. Future research could also take into account other mediating factors.

Conclusion

This study provides new and important information on the trajectories of conduct and emotional problems over four time periods for young people in the general population. It goes some way to uncover the intrinsic relationship that hyperactive/inattentive traits have on the expression of both of these outcomes. It also provides us with a unique understanding of how ASTs moderate these relationships for boys, but not for girls. The findings emphasise the need for the proactive and accurate identification of hyperactive/inattentive traits for both boys and girls in order to support them in managing these difficulties and reducing subsequent emotional and behavioural problems throughout childhood, adolescence and beyond.

Supplementary material

The supplementary material for this article can be found at https://doi.org/10.1017/S0033291722001416.

Acknowledgements

We are extremely grateful to all the families who took part in this study, the midwives for their help in recruiting them, and the whole ALSPAC team, which includes interviewers, computer and laboratory technicians, clerical workers, research scientists, volunteers, managers, receptionists and nurses.

Financial support

The UK Medical Research Council and Wellcome (Grant ref: 217065/Z/19/Z) and the University of Bristol provide core support for ALSPAC. This publication is the work of the authors and JH will serve as guarantor for the contents of this paper.

Conflict of interest

S. Y. has received honoraria for consultancy, sponsorship for attendance at scientific meetings, educational talks, and/or research awards from Janssen, HB Pharma, and/or Shire. T. C. has served as a paid consultant to F. Hoffmann-La Roche Ltd. and Servier and received royalties from Sage Publications and Guilford Publications. The remaining authors have no disclosures.

Ethical standards

Ethical approval for the study was obtained from the ALSPAC Ethics and Law Committee and the Local Research Ethics Committees. The UK Medical Research Council and Wellcome (Grant ref: 102215/2/13/2) and the University of Bristol provide core support for ALSPAC.

Consent

Informed consent for the use of data collected via questionnaires and clinics was obtained from participants following the recommendations of the ALSPAC Ethics and Law Committee at the time.

References

American Psychiatric Association (APA). (2013). Diagnostic and statistical manual of mental disorders (5th ed.). Arlington, VA: Author.Google Scholar
Andersen, P. N., Hovik, K. T., Skogli, E. W., Egeland, J., & Øie, M. (2013). Symptoms of ADHD in children with high-functioning autism are related to impaired verbal working memory and verbal delayed recall. PLoS One, 8(5), e64842.CrossRefGoogle ScholarPubMed
Arbuckle, J. L. (2016). Amos (version 24.0) [computer program]. Chicago: IBM SPSS.Google Scholar
Barkley, R. A., Fischer, M., Smallish, L., & Fletcher, K. (2002). The persistence of attention-deficit/hyperactivity disorder into young adulthood as a function of reporting source and definition of disorder. Journal of Abnormal Psychology, 111, 279289.CrossRefGoogle ScholarPubMed
Becker, A., Woerner, W., Hasselhorn, M., Banaschewski, T., & Rothenberger, A. (2004). Validation of the parent and teacher SDQ in a clinical sample. European Child & Adolescent Psychiatry, 13(2), ii11ii16.CrossRefGoogle Scholar
Bendiksen, B., Svensson, E., Aase, H., Reichborn-Kjennerud, T., Friis, S., Myhre, A. M., & Zeiner, P. (2017). Co-occurrence of ODD and CD in preschool children with symptoms of ADHD. Journal of Attention Disorders, 21(9), 741752.CrossRefGoogle ScholarPubMed
Bentler, P. M. (1992). On the fit of models to covariances and methodology to the Bulletin. Psychological Bulletin, 112(3), 400.CrossRefGoogle ScholarPubMed
Biederman, J., Kwon, A., Aleardi, M., Chouinard, V. A., Marino, T., Cole, H., … Faraone, S. V. (2005). Absence of gender effects on attention deficit hyperactivity disorder: Findings in nonreferred subjects. American Journal of Psychiatry, 162(6), 10831089.CrossRefGoogle ScholarPubMed
Biederman, J., Mick, E., Faraone, S. V., Braaten, E., Doyle, A., Spencer, T., … Johnson, M. A. (2002). Influence of gender on attention deficit hyperactivity disorder in children referred to a psychiatric clinic. American Journal of Psychiatry, 159(1), 3642.CrossRefGoogle ScholarPubMed
Blackman, G. L., Ostrander, R., & Herman, K. C. (2005). Children with ADHD and depression: A multisource, multimethod assessment of clinical, social, and academic functioning. Journal of Attention Disorders, 8(4), 195207.CrossRefGoogle ScholarPubMed
Boyd, A., Golding, J., Macleod, J., Lawlor, D. A., Fraser, A., Henderson, J., … Davey Smith, G. (2013). Cohort profile: The ‘children of the 90s’ – the index offspring of the Avon Longitudinal Study of Parents and Children. International Journal of Epidemiology, 42(1), 111127.CrossRefGoogle ScholarPubMed
Broidy, L. M., Nagin, D. S., Tremblay, R. E., Bates, J. E., Brame, B., Dodge, K. A., … Vitaro, F. (2003). Developmental trajectories of childhood disruptive behaviors and adolescent delinquency: A six-site, cross-national study. Developmental Psychology, 39, 222245.CrossRefGoogle ScholarPubMed
Browne, M. W., & Cudeck, R. (1993). Alternative ways of assessing model fit. In Bollen, K. A., & Long, J. S. (Eds.), Testing Structural Equation (pp. 136162). Newbury Park, CA: Sage.Google Scholar
Byrne, B. M. (2013). Structural equation modeling with EQS: Basic concepts, applications, and programming (2nd ed.). New York: Routledge.CrossRefGoogle Scholar
Coghill, D., & Sonuga-Barke, E. J. S. (2012). Categories versus dimensions in the classification and conceptualisation of child and adolescent mental disorders – implications of recent empirical study. Journal of Child Psychology and Psychiatry, 53(5), 469489.CrossRefGoogle ScholarPubMed
Costello, E. J., Mustillo, S., Erkanli, A., Keeler, G., & Angold, A. (2003). Prevalence and development of psychiatric disorders in childhood and adolescence. Archives of General Psychiatry, 60(8), 837844.CrossRefGoogle ScholarPubMed
Côté, S., Tremblay, R. E., Nagin, D. S., Zoccolillo, M., & Vitaro, F. (2002). Childhood behavioral profiles leading to adolescent conduct disorder: Risk trajectories for boys and girls. Journal of the American Academy of Child & Adolescent Psychiatry, 41(9), 10861094.CrossRefGoogle ScholarPubMed
Croft, S., Stride, C., Maughan, B., & Rowe, R. (2015). Validity of the strengths and difficulties questionnaire in preschool-aged children. Pediatrics, 135(5), e1210e1219.CrossRefGoogle ScholarPubMed
Daviss, W. B. (2008). A review of co-morbid depression in pediatric ADHD: Etiologies, phenomenology, and treatment. Journal of Child and Adolescent Psychopharmacology, 18(6), 565571.CrossRefGoogle ScholarPubMed
Deault, L. C. (2010). A systematic review of parenting in relation to the development of comorbidities and functional impairments in children with attention-deficit/hyperactivity disorder (ADHD). Child Psychiatry & Human Development, 41(2), 168192.CrossRefGoogle Scholar
Dworzynski, K., Ronald, A., Bolton, P., & Happé, F. (2012). How different are girls and boys above and below the diagnostic threshold for autism spectrum disorders? Journal of the American Academy of Child & Adolescent Psychiatry, 51(8), 788797.CrossRefGoogle ScholarPubMed
Eiser, C., & Morse, R. (2001). Can parents rate their child's health-related quality of life? Results of a systematic review. Quality of Life Research, 10(4), 347357.CrossRefGoogle ScholarPubMed
Faraone, S. V., Biederman, J., Mennin, D., Russell, R., & Tsuang, M. T. (1998). Familial subtypes of attention deficit hyperactivity disorder: A 4-year follow-up study of children from antisocial-ADHD families. The Journal of Child Psychology and Psychiatry and Allied Disciplines, 39(7), 10451053.CrossRefGoogle ScholarPubMed
Faraone, S. V., Biederman, J., & Mick, E. (2006). The age-dependent decline of attention deficit hyperactivity disorder: A meta-analysis of follow-up studies. Psychological Medicine, 36, 159165.CrossRefGoogle ScholarPubMed
Faraone, S. V., Sergeant, J., Gillberg, C., & Biederman, J. (2003). The worldwide prevalence of ADHD: Is it an American condition? World Psychiatry, 2(2), 104.Google ScholarPubMed
Fombonne, E. (2003). Epidemiological surveys of autism and other pervasive developmental disorders: An update. Journal of Autism and Developmental Disorders, 33(4), 365382.CrossRefGoogle ScholarPubMed
Forms, M., Abad, J., & Kirchner, T. (2011). Internalizing and externalizing problems. In Levesque, R. J. R. (Ed.), Encyclopedia of adolescence (pp. 14641489). New York, NY: Springer.CrossRefGoogle Scholar
Francx, W., Zwiers, M. P., Mennes, M., Oosterlaan, J., Heslenfeld, D., Hoekstra, P. J., … Buitelaar, J. K. (2015). White matter microstructure and developmental improvement of hyperactive/impulsive symptoms in attention-deficit/hyperactivity disorder. Journal of Child Psychology and Psychiatry, 56(12), 12891297.CrossRefGoogle ScholarPubMed
Fraser, A., Macdonald-Wallis, C., Tilling, K., Boyd, A., Golding, J., Davey Smith, G., … Ring, S. (2012). Cohort profile: The Avon Longitudinal Study of Parents and Children: ALSPAC mothers cohort. International Journal of Epidemiology, 42(1), 97110.CrossRefGoogle ScholarPubMed
Frazier, T. W., Youngstrom, E. A., & Naugle, R. I. (2007). The latent structure of attention-deficit/hyperactivity disorder in a clinic-referred sample. Neuropsychology, 21(1), 45.CrossRefGoogle Scholar
Gaub, M., & Carlson, C. L. (1997). Gender differences in ADHD: A meta-analysis and critical review. Journal of the American Academy of Child & Adolescent Psychiatry, 36(8), 10361045.CrossRefGoogle ScholarPubMed
Gershon, J., & Gershon, J. (2002). A meta-analytic review of gender differences in ADHD. Journal of Attention Disorders, 5(3), 143154.CrossRefGoogle ScholarPubMed
Gjone, H., Stevenson, J., & Sundet, J. M. (1996). Genetic influence on parent-reported attention-related problems in a Norwegian general population twin sample. Journal of the American Academy of Child & Adolescent Psychiatry, 35(5), 588598.CrossRefGoogle Scholar
Goodman, A., & Goodman, R. (2009). Strengths and difficulties questionnaire as a dimensional measure of child mental health. Journal of the American Academy of Child & Adolescent Psychiatry, 48(4), 400403.CrossRefGoogle ScholarPubMed
Goodman, A., & Goodman, R. (2011). Population mean scores predict child mental disorder rates: Validating SDQ prevalence estimators in Britain. Journal of Child Psychology and Psychiatry, 52(1), 100108.CrossRefGoogle ScholarPubMed
Goodman, R. (2001). Psychometric properties of the strengths and difficulties questionnaire. Journal of the American Academy of Child & Adolescent Psychiatry, 40(11), 13371345.CrossRefGoogle ScholarPubMed
Graham, J. W. (2009). Missing data analysis: Making it work in the real world. Annual Review of Psychology, 60, 549576.CrossRefGoogle ScholarPubMed
Guttmann-Steinmetz, S., Gadow, K. D., & DeVincent, C. J. (2009). Oppositional defiant and conduct disorder behaviors in boys with autism spectrum disorder with and without attention-deficit hyperactivity disorder versus several comparison samples. Journal of Autism and Developmental Disorders, 39(7), 976985.CrossRefGoogle ScholarPubMed
Guttmann-Steinmetz, S., Gadow, K. D., DeVincent, C. J., & Crowell, J. (2010). Anxiety symptoms in boys with autism spectrum disorder, attention-deficit hyperactivity disorder, or chronic multiple tic disorder and community controls. Journal of Autism and Developmental Disorders, 40(8), 10061016.CrossRefGoogle ScholarPubMed
Hartley, S. L., & Sikora, D. M. (2009). Sex differences in autism spectrum disorder: An examination of developmental functioning, autistic symptoms, and coexisting behavior problems in toddlers. Journal of Autism and Developmental Disorders, 39(12), 1715.CrossRefGoogle ScholarPubMed
Haslam, N., Williams, B., Prior, M., Haslam, R., Graetz, B., & Sawyer, M. (2006). The latent structure of attention-deficit/hyperactivity disorder: A taxometric analysis. Australian & New Zealand Journal of Psychiatry, 40(8), 639647.CrossRefGoogle ScholarPubMed
Hatta, K., Hosozawa, M., Tanaka, K., & Shimizu, T. (2019). Exploring traits of autism and their impact on functional disability in children with somatic symptom disorder. Journal of autism and developmental disorders, 49(2), 729737.CrossRefGoogle ScholarPubMed
Hinshaw, S. P. (2018). Attention deficit hyperactivity disorder (ADHD): Controversy, developmental mechanisms, and multiple levels of analysis. Annual Review of Clinical Psychology, 14, 291316.CrossRefGoogle ScholarPubMed
Hoch, J., & Symons, F. J. (2007). Matching analysis of socially appropriate and destructive behavior in developmental disabilities. Research in Developmental Disabilities, 28(3), 238248.CrossRefGoogle ScholarPubMed
Hollingdale, J., Woodhouse, E., Young, S., Fridman, A., & Mandy, W. (2020). Autistic spectrum disorder symptoms in children and adolescents with attention-deficit/hyperactivity disorder: A meta-analytical review. Psychological Medicine, 50(13), 22402253.CrossRefGoogle ScholarPubMed
Holtmann, M., Bölte, S., & Poustka, F. (2007). Autism spectrum disorders: Sex differences in autistic behaviour domains and coexisting psychopathology. Developmental Medicine and Child Neurology, 49(5), 361366.CrossRefGoogle ScholarPubMed
Hu, L. T., & Bentler, P. M. (1995). Evaluating model fit. In Hoyle, R. H. (Ed.), Structural equation modeling: Concepts, issues, and applications (pp. 7699). Thousand Oaks, CA: Sage.Google Scholar
Hu, L. T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 155.CrossRefGoogle Scholar
Jang, J., Matson, J. L., Williams, L. W., Tureck, K., Goldin, R. L., & Cervantes, P. E. (2013). Rates of comorbid symptoms in children with ASD, ADHD, and comorbid ASD and ADHD. Research in Developmental Disabilities, 34(8), 23692378.CrossRefGoogle ScholarPubMed
Kanne, S. M., Abbacchi, A. M., & Constantino, J. N. (2009). Multi-informant ratings of psychiatric symptom severity in children with autism spectrum disorders: The importance of environmental context. Journal of Autism and Developmental Disorders, 39(6), 856864.CrossRefGoogle ScholarPubMed
Kieling, C., Kieling, R. R., Rohde, L. A., Frick, P. J., Moffitt, T., Nigg, J. T., … Castellanos, F. X. (2010). The age at onset of attention deficit hyperactivity disorder. American Journal of Psychiatry, 167(1), 1416.CrossRefGoogle ScholarPubMed
Kim, J. A., Szatmari, P., Bryson, S. E., Streiner, D. L., & Wilson, F. J. (2000). The prevalence of anxiety and mood problems among children with autism and Asperger syndrome. Autism, 4(2), 117132.CrossRefGoogle Scholar
Kooij, J. S., Buitelaar, J. K., Furer, J. W., Rijnders, C. A. T., & Hodiamont, P. P. (2005). Internal and external validity of attention-deficit hyperactivity disorder in a population-based sample of adults. Psychological Medicine, 35(6), 817827.CrossRefGoogle Scholar
Lahey, B. B., McBurnett, K., & Loeber, R. (2000). Are attention-deficit/hyperactivity disorder and oppositional defiant disorder developmental precursors to conduct disorder?. In Lewis, M., & Sameroff, A. (Eds.), Handbook of developmental psychopathology (pp. 431446). Boston, MA: Springer.CrossRefGoogle Scholar
Lahey, B. B., Pelham, W. E., Loney, J., Lee, S. S., & Willcutt, E. (2005). Instability of the DSM-IV subtypes of ADHD from preschool through elementary school. Archives of General Psychiatry, 62(8), 896902.CrossRefGoogle ScholarPubMed
Larson, K., Russ, S. A., Kahn, R. S., & Halfon, N. (2011). Patterns of comorbidity, functioning, and service use for US children with ADHD, 2007. Pediatrics, 127(3), 462470.CrossRefGoogle ScholarPubMed
Leve, L. D., Kim, H. K., & Pears, K. C. (2005). Childhood temperament and family environment as predictors of internalizing and externalizing trajectories from ages 5 to 17. Journal of Abnormal Child Psychology, 33, 505520.CrossRefGoogle ScholarPubMed
Leyfer, O. T., Folstein, S. E., Bacalman, S., Davis, N. O., Dinh, E., Morgan, J., … Lainhart, J. E. (2006). Comorbid psychiatric disorders in children with autism: Interview development and rates of disorders. Journal of Autism and Developmental Disorders, 36(7), 849861.CrossRefGoogle ScholarPubMed
Loeber, R., Green, S. M., Keenan, K., & Lahey, B. B. (1995). Which boys will fare worse? Early predictors of the onset of conduct disorder in a six-year longitudinal study. Journal of the American Academy of Child & Adolescent Psychiatry, 34(4), 499509.CrossRefGoogle Scholar
Loeber, R., & Hay, D. (1997). Key issues in the development of aggression and violence from childhood to early adulthood. Annual Review of Psychology, 48(1), 371410.CrossRefGoogle ScholarPubMed
Lubke, G. H., Hudziak, J. J., Derks, E. M., van Bijsterveldt, T. C., & Boomsma, D. I. (2009). Maternal ratings of attention problems in ADHD: Evidence for the existence of a continuum. Journal of the American Academy of Child & Adolescent Psychiatry, 48(11), 10851093.CrossRefGoogle ScholarPubMed
Lundström, S., Chang, Z., Kerekes, N., Gumpert, C. H., Råstam, M., Gillberg, C., … Anckarsäter, H. (2011). Autistic-like traits and their association with mental health problems in two nationwide twin cohorts of children and adults. Psychological Medicine, 41(11), 24232433.CrossRefGoogle ScholarPubMed
MacCallum, R. C., Browne, M. W., & Sugawara, H. M. (1996). Power analysis and determination of sample size for covariance structure modeling. Psychological Methods, 1(2), 130.CrossRefGoogle Scholar
Mandy, W., Chilvers, R., Chowdhury, U., Salter, G., Seigal, A., & Skuse, D. (2012). Sex differences in autism spectrum disorder: Evidence from a large sample of children and adolescents. Journal of Autism and Developmental Disorders, 42(7), 13041313.CrossRefGoogle ScholarPubMed
Mandy, W., Skuse, D., Steer, C., St Pourcain, B., & Oliver, B. R. (2013). Oppositionality and socioemotional competence: Interacting risk factors in the development of childhood conduct disorder symptoms. Journal of the American Academy of Child & Adolescent Psychiatry, 52(7), 718727.CrossRefGoogle ScholarPubMed
Marcus, D. K., & Barry, T. D. (2011). Does attention-deficit/hyperactivity disorder have a dimensional latent structure? A taxometric analysis. Journal of Abnormal Psychology, 120(2), 427.CrossRefGoogle ScholarPubMed
McCoach, D. B., & Kaniskan, B. (2010). Using time-varying covariates in multilevel growth models. Frontiers in Psychology, 1, 17.Google ScholarPubMed
McLaughlin, K. A., Hilt, L. M., & Nolen-Hoeksema, S. (2007). Racial/ethnic differences in internalizing and externalizing symptoms in adolescents. Journal of Abnormal Child Psychology, 35(5), 801816.CrossRefGoogle ScholarPubMed
McMahon, R. J., Wells, K. C., & Kotler, J. S. (2006). Conduct problems. In Mash, E. J. & Barkley, R. A. (Eds.), Treatment of childhood disorders, 3rd Edn (pp. 137268). New York: The Guilford Press.Google Scholar
Mieloo, C. L., Bevaart, F., Donker, M. C., van Oort, F. V., Raat, H., & Jansen, W. (2013). Validation of the SDQ in a multi-ethnic population of young children. The European Journal of Public Health, 24(1), 2632.CrossRefGoogle Scholar
Mulligan, A., Anney, R. J., O'Regan, M., Chen, W., Butler, L., Fitzgerald, M., … Nijmeijer, J. (2009). Autism symptoms in attention-deficit/hyperactivity disorder: A familial trait which correlates with conduct, oppositional defiant, language and motor disorders. Journal of Autism and Developmental Disorders, 39(2), 197209.CrossRefGoogle Scholar
Muris, P., Meesters, C., & van den Berg, F. (2003). The strengths and difficulties questionnaire (SDQ). European Child & Adolescent Psychiatry, 12(1), 18.CrossRefGoogle ScholarPubMed
Muthén, B., & Muthén, B. O. (2009). Statistical analysis with latent variables. New York, NY: Wiley.Google Scholar
Muthén, B. O. (2002). Beyond SEM: General latent variable modeling. Behaviormetrika, 29(1), 81117.CrossRefGoogle Scholar
Newcorn, J. H., Halperin, J. M., Jensen, P. S., Abikoff, H. B., Arnold, L. E., Cantwell, D. P., … Hechtman, L. (2001). Symptom profiles in children with ADHD: Effects of comorbidity and gender. Journal of the American Academy of Child & Adolescent Psychiatry, 40(2), 137146.CrossRefGoogle ScholarPubMed
Nigg, J. T., Goldsmith, H. H., & Sachek, J. (2004). Temperament and attention deficit hyperactivity disorder: The development of a multiple pathway model. Journal of Clinical Child and Adolescent Psychology, 33(1), 4253.CrossRefGoogle Scholar
Nøvik, T. S., Hervas, A., Ralston, S. J., Dalsgaard, S., Pereira, R. R., Lorenzo, M. J. & ADORE Study Group. (2006). Influence of gender on attention-deficit/hyperactivity disorder in Europe–ADORE. European Child & Adolescent Psychiatry, 15(1), i15i24.CrossRefGoogle ScholarPubMed
Oliver, B. R., Barker, E. D., Mandy, W. P., Skuse, D. H., & Maughan, B. (2011). Social cognition and conduct problems: A developmental approach. Journal of the American Academy of Child & Adolescent Psychiatry, 50(4), 385394.CrossRefGoogle ScholarPubMed
Ottosen, C., Larsen, J. T., Faraone, S. V., Chen, Q., Hartman, C., Larsson, H., … Dalsgaard, S. (2019). Sex differences in comorbidity patterns of attention-deficit/hyperactivity disorder. Journal of the American Academy of Child & Adolescent Psychiatry, 58(4), 412422.CrossRefGoogle ScholarPubMed
Pickard, H., Rijsdijk, F., Happé, F., & Mandy, W. (2017). Are social and communication difficulties a risk factor for the development of social anxiety? Journal of the American Academy of Child & Adolescent Psychiatry, 56(4), 344351.CrossRefGoogle ScholarPubMed
Polanczyk, G., De Lima, M. S., Horta, B. L., Biederman, J., & Rohde, L. A. (2007). The worldwide prevalence of ADHD: A systematic review and metaregression analysis. American Journal of Psychiatry, 164(6), 942948.CrossRefGoogle ScholarPubMed
Polderman, T. J., Derks, E. M., Hudziak, J. J., Verhulst, F. C., Posthuma, D., & Boomsma, D. I. (2007). Across the continuum of attention skills: A twin study of the SWAN ADHD rating scale. Journal of Child Psychology and Psychiatry, 48(11), 10801087.CrossRefGoogle ScholarPubMed
Pourcain, B. S., Mandy, W. P., Heron, J., Golding, J., Smith, G. D., & Skuse, D. H. (2011). Links between co-occurring social-communication and hyperactive-inattentive trait trajectories. Journal of the American Academy of Child & Adolescent Psychiatry, 50(9), 892902.CrossRefGoogle Scholar
Rao, P. A., & Landa, R. J. (2014). Association between severity of behavioral phenotype and comorbid attention deficit hyperactivity disorder symptoms in children with autism spectrum disorders. Autism, 18(3), 272280.CrossRefGoogle ScholarPubMed
Rapee, R. M., Oar, E. L., Johnco, C. J., Forbes, M. K., Fardouly, J., Magson, N. R., & Richardson, C. E. (2019). Adolescent development and risk for the onset of social-emotional disorders: A review and conceptual model. Behaviour Research and Therapy, 123, 103501.CrossRefGoogle ScholarPubMed
Robinson, E. B., Munir, K., Munafò, M. R., Hughes, M., McCormick, M. C., & Koenen, K. C. (2011). Stability of autistic traits in the general population: Further evidence for a continuum of impairment. Journal of the American Academy of Child & Adolescent Psychiatry, 50(4), 376384.CrossRefGoogle ScholarPubMed
Robinson, E. B., St Pourcain, B., Anttila, V., Kosmicki, J. A., Bulik-Sullivan, B., Grove, J., … Martin, J. (2016). Genetic risk for autism spectrum disorders and neuropsychiatric variation in the general population. Nature Genetics, 48(5), 552555.CrossRefGoogle ScholarPubMed
Ronald, A., Simonoff, E., Kuntsi, J., Asherson, P., & Plomin, R. (2008). Evidence for overlapping genetic influences on autistic and ADHD behaviours in a community twin sample. Journal of Child Psychology and Psychiatry, 49(5), 535542.CrossRefGoogle Scholar
Rosenfield, S., Lennon, M. C., & Raskin White, H. (2005). The self and mental health: Self-salience and the emergence of internalizing and externalizing problems. Journal of Health and Social Behavior, 46, 323340.CrossRefGoogle ScholarPubMed
Rucklidge, J. J. (2010). Gender differences in attention-deficit/hyperactivity disorder. Psychiatric Clinics, 33(2), 357373.Google ScholarPubMed
Safren, S. A., Lanka, G. D., Otto, M. W., & Pollack, M. H. (2001). Prevalence of childhood ADHD among patients with generalized anxiety disorder and a comparison condition, social phobia. Depression and Anxiety, 13(4), 190191.CrossRefGoogle Scholar
Schatz, D. B., & Rostain, A. L. (2006). ADHD with comorbid anxiety: A review of the current literature. Journal of Attention Disorders, 10(2), 141149.CrossRefGoogle ScholarPubMed
Scholz, F. W. (2014). Maximum likelihood estimation. Wiley StatsRef: Statistics Reference Online.Google Scholar
Shaw, D. S., Lacourse, E., & Nagin, D. S. (2005). Developmental trajectories of conduct problems and hyperactivity from ages 2 to 10. Journal of Child Psychology and Psychiatry, 46(9), 931942.CrossRefGoogle ScholarPubMed
Sigfusdottir, I. D., Asgeirsdottir, B. B., Hall, H. A., Sigurdsson, J. F., Young, S., & Gudjonsson, G. H. (2017). An epidemiological study of ADHD and conduct disorder: Does family conflict moderate the association? Social Psychiatry and Psychiatric Epidemiology, 52(4), 457464.CrossRefGoogle ScholarPubMed
Sikora, D. M., Vora, P., Coury, D. L., & Rosenberg, D. (2012). Attention-deficit/hyperactivity disorder symptoms, adaptive functioning, and quality of life in children with autism spectrum disorder. Pediatrics, 130(Supplement 2), S91S97.CrossRefGoogle ScholarPubMed
Simonoff, E., Pickles, A., Charman, T., Chandler, S., Loucas, T., & Baird, G. (2008). Psychiatric disorders in children with autism spectrum disorders: Prevalence, comorbidity, and associated factors in a population-derived sample. Journal of the American Academy of Child & Adolescent Psychiatry, 47(8), 921929.CrossRefGoogle Scholar
Sinzig, J., Bruning, N., Morsch, D., & Lehmkuhl, G. (2008). Attention profiles in autistic children with and without comorbid hyperactivity and attention problems. Acta Neuropsychiatrica, 20(4), 207215.CrossRefGoogle ScholarPubMed
Skuse, D. H., Mandy, W., Steer, C., Miller, L. L., Goodman, R., Lawrence, K., … Golding, J. (2009). Social communication competence and functional adaptation in a general population of children: Preliminary evidence for sex-by-verbal IQ differential risk. Journal of the American Academy of Child & Adolescent Psychiatry, 48(2), 128137.CrossRefGoogle Scholar
Skuse, D. H., Mandy, W. P., & Scourfield, J. (2005). Measuring autistic traits: Heritability, reliability and validity of the Social and Communication Disorders Checklist. The British Journal of Psychiatry, 187(6), 568572.CrossRefGoogle ScholarPubMed
Solomon, M., Miller, M., Taylor, S. L., Hinshaw, S. P., & Carter, C. (2012). Autism symptoms and internalizing psychopathology in girls and boys with autism spectrum disorders. Journal of autism and developmental disorders, 42(1), 4859.CrossRefGoogle ScholarPubMed
Sonuga-Barke, E. J. (2005). Causal models of attention-deficit/hyperactivity disorder: From common simple deficits to multiple developmental pathways. Biological Psychiatry, 57(11), 12311238.CrossRefGoogle ScholarPubMed
Staller, J., & Faraone, S. V. (2006). Attention-deficit hyperactivity disorder in girls. CNS Drugs, 20(2), 107123.CrossRefGoogle ScholarPubMed
Stern, A., Agnew-Blais, J. C., Danese, A., Fisher, H. L., Matthews, T., Polanczyk, G. V., … Arseneault, L. (2020). Associations between ADHD and emotional problems from childhood to young adulthood: A longitudinal genetically sensitive study. Journal of Child Psychology and Psychiatry, 61(11), 12341242.CrossRefGoogle ScholarPubMed
Thomas, R., Sanders, S., Doust, J., Beller, E., & Glasziou, P. (2015). Prevalence of attention-deficit/hyperactivity disorder: A systematic review and meta-analysis. Pediatrics, 135(4), e994e1001.CrossRefGoogle Scholar
Van der Meer, M., Dixon, A., & Rose, D. (2008). Parent and child agreement on reports of problem behaviour obtained from a screening questionnaire, the SDQ. European Child & Adolescent Psychiatry, 17(8), 491497.CrossRefGoogle ScholarPubMed
Van Roy, B., Groholt, B., Heyerdahl, S., & Clench-Aas, J. (2010). Understanding discrepancies in parent-child reporting of emotional and behavioural problems: Effects of relational and socio-demographic factors. BMC Psychiatry, 10(1), 56.CrossRefGoogle ScholarPubMed
Waschbusch, D. A. (2002). A meta-analytic examination of comorbid hyperactive-impulsive-attention problems and conduct problems. Psychological Bulletin, 128(1), 118.CrossRefGoogle ScholarPubMed
Webster-Stratton, C. (1996). Early-onset conduct problems: Does gender make a difference? Journal of Consulting and Clinical Psychology, 64(3), 540.CrossRefGoogle Scholar
White, S. W., Oswald, D., Ollendick, T., & Scahill, L. (2009). Anxiety in children and adolescents with autism spectrum disorders. Clinical Psychology Review, 29(3), 216229.CrossRefGoogle ScholarPubMed
Willcutt, E. G. (2012). The prevalence of DSM-IV attention-deficit/hyperactivity disorder: A meta-analytic review. Neurotherapeutics: The Journal of the American Society for Experimental NeuroTherapeutics, 9(3), 490499.CrossRefGoogle ScholarPubMed
Willcutt, E. G., Nigg, J. T., Pennington, B. F., Solanto, M. V., Rohde, L. A., Tannock, R., … Lahey, B. B. (2012). Validity of DSM-IV attention deficit/hyperactivity disorder symptom dimensions and subtypes. Journal of Abnormal Psychology, 121(4), 991.CrossRefGoogle ScholarPubMed
Wolraich, M. L., Hannah, J. N., Baumgaertel, A., & Feurer, I. D. (1998). Examination of DSM-IV criteria for attention deficit hyperactivity disorder in a county-wide sample. Journal of Developmental and Behavioral Pediatrics, 19(3), 162168.CrossRefGoogle Scholar
Yerys, B. E., Wallace, G. L., Sokoloff, J. L., Shook, D. A., James, J. D., & Kenworthy, L. (2009). Attention deficit/hyperactivity disorder symptoms moderate cognition and behavior in children with autism spectrum disorders. Autism Research, 2(6), 322333.Google ScholarPubMed
Young, S., Adamo, N., Asgeirsdottir, B. B., Branney, P., Beckett, M., Colley, W., … Woodhouse, E. (2020a). Females with ADHD: An expert consensus statement taking a lifespan approach providing guidance for the identification and treatment of attention deficit hyperactivity disorder in girls and women. BMC Psychiatry, 20, 404.CrossRefGoogle ScholarPubMed
Young, S., Hollingdale, J., Absoud, M., Bolton, P., Branney, P., Colley, W., … Woodhouse, E. (2020b). Guidance for identification and treatment of individuals with attention deficit/hyperactivity disorder and autism spectrum disorder based upon expert consensus. BMC Medicine, 18, 146.CrossRefGoogle ScholarPubMed
Zuddas, A., Banaschewski, T., Coghill, D., & Stein, M. A. (2018). ADHD treatment, psychostimulants (pp. 379392). Oxford: Oxford University Press.CrossRefGoogle Scholar
Figure 0

Table 1. Differences between those included and excluded from analysis

Figure 1

Table 2. Standardised regression weights (β) of hyperactive/inattentive traits on conduct problems (CP) and emotional problems (EP) for Model 1

Figure 2

Table 3. Group n's by gender and conduct and emotional problems

Figure 3

Table 4. Standardised regression weights (β) for Below clinical threshold ASTs Group and Above clinical threshold ASTs Group for conduct problems (CP) and emotional problems (EP) for boys

Figure 4

Fig. 1. β regression weights of non-invariance between Below Group (left) and Above (right) for conduct problems (CP) (top) and emotional problems (EP) (bottom) for boys. Bold lines denote significantly different χ2 values between the two groups.

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