|Parent-infant vocalisations at 12 months predict psychopathology at 7 years.|
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|PMID: 23291516 Owner: NLM Status: MEDLINE|
|This study investigated the utility of adult and infant vocalisation in the prediction of child psychopathology. Families were sampled from the Avon Longitudinal Study of Parents and Children (ALSPAC) birth cohort. Vocalisation patterns were obtained from 180 videos (60 cases and 120 randomly selected sex-matched controls) of parent-infant interactions when infants were one year old. Cases were infants who had been subsequently diagnosed aged seven years, with at least one psychiatric diagnostic categorisation using the Development and Wellbeing Assessment. Psychopathologies included in the case group were disruptive behaviour disorders, oppositional-conduct disorders, Attention Deficit Hyperactivity Disorder, pervasive development disorder, and emotional disorders. Associations between infant and parent vocalisations and later psychiatric diagnoses were investigated. Low frequencies of maternal vocalisation predicted later development of infant psychopathology. A reduction of five vocalisations per minute predicted a 44% (95%CI: 11-94%; p-value=0.006) increase in the odds of an infant being a case. No association was observed between infant vocalisations and overall case status. In sum, altered vocalisation frequency in mother-infant interactions at one year is a potential risk marker for later diagnosis of a range of child psychopathologies.|
|C S Allely; D Purves; A McConnachie; H Marwick; P Johnson; O Doolin; C Puckering; J Golding; C Gillberg; P Wilson|
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|Type: Journal Article; Research Support, Non-U.S. Gov't Date: 2013-01-03|
|Title: Research in developmental disabilities Volume: 34 ISSN: 1873-3379 ISO Abbreviation: Res Dev Disabil Publication Date: 2013 Mar|
|Created Date: 2013-02-04 Completed Date: 2013-07-26 Revised Date: 2014-06-11|
Medline Journal Info:
|Nlm Unique ID: 8709782 Medline TA: Res Dev Disabil Country: United States|
|Languages: eng Pagination: 985-93 Citation Subset: IM|
|Copyright © 2012 Elsevier Ltd. All rights reserved.|
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Attention Deficit and Disruptive Behavior Disorders*
Child Development Disorders, Pervasive*
|092731//Wellcome Trust; //Medical Research Council; //Wellcome Trust|
Journal ID (nlm-ta): Res Dev Disabil
Journal ID (iso-abbrev): Res Dev Disabil
Publisher: Pergamon Press
© 2012 The Authors
Received Day: 29 Month: 9 Year: 2012
Revision Received Day: 22 Month: 11 Year: 2012
Accepted Day: 26 Month: 11 Year: 2012
pmc-release publication date: Day: 1 Month: 3 Year: 2013
Print publication date: Month: 3 Year: 2013
Volume: 34 Issue: 3
First Page: 985 Last Page: 993
PubMed Id: 23291516
Publisher Id: S0891-4222(12)00315-0
|Parent–infant vocalisations at 12 months predict psychopathology at 7 years|
|C.S. Allelya||Email: email@example.com|
|D. Purvesb||Email: firstname.lastname@example.org|
|A. McConnachieb||Email: email@example.com|
|H. Marwickc||Email: firstname.lastname@example.org|
|P. Johnsonb||Email: email@example.com|
|O. Doolinb||Email: firstname.lastname@example.org|
|C. Puckeringa||Email: email@example.com|
|J. Goldingd||Email: firstname.lastname@example.org|
|C. Gillberga||Email: email@example.com|
|P. Wilsone⁎||Email: firstname.lastname@example.org|
aInstitute of Health and Wellbeing, University of Glasgow, RHSC Yorkhill, Glasgow G3 8SJ, Scotland, United Kingdom
bRobertson Centre for Biostatistics, Boyd Orr Building, University of Glasgow, Glasgow G12 8QQ, Scotland, United Kingdom
cNational Centre for Autism Studies at the University of Strathclyde, Glasgow, Scotland, United Kingdom
dCentre for Child and Adolescent Health, School of Social and Community Medicine, University of Bristol, England, United Kingdom
eCentre for Rural Health, University of Aberdeen, The Centre for Health Science, Old Perth Road, Inverness IV2 3JH, Scotland, United Kingdom
|⁎Corresponding author. Tel.: +44 01463 255085. email@example.com
Early indicators of serious psychopathology exist in the first few years of life and early accurate identification is a prerequisite for early intervention and support (Dawson, 2008). Within parent–child interactions, contingent and mutual responding appears to be crucial in predicting child competence and resilience (Isabella, Belsky, & von Eye, 1989; Tronick, 1989) and may be pivotal in the development of joint attention and language (Gartstein, Crawford, & Robertson, 2007). Infant-directed speech has modified patterns of vocalisation pacing, pitch, content and emphasis. Such components are interpersonally attuned by the adult caregiver to support the infant's attention and engagement as well as to regulate the infant's state and emotions (Marwick & Murray, 2010).
There are speech and vocalisation indicators that can be used as objective indicators for the diagnosis of hyperactivity syndrome with attention and concentration difficulties. Breznitz (2003) examined the speech and vocalisation patterns of boys (8–10 years) with Attention Deficit Hyperactivity Disorder (ADHD) who were not under the influence of stimulating medication, compared with the speech and vocalisation patterns of boys with reading disabilities and a control group of learners without learning disabilities. Individuals with ADHD were found to speak louder, lack the ability to modulate their voice volume, speak for much longer at a stretch with many short pause durations during their talk but take significantly longer to respond to the conversational partner. To our knowledge, no study has analysed earlier vocal qualities of caregivers and their infants who later go on to receive a diagnosis of ADHD, nor has such vocal analysis been carried out before diagnosis in other psychopathologies such as conduct disorder or other disruptive behaviour disorders.
Children with autism spectrum disorder (ASD) frequently exhibit abnormal voice quality and speech prosody (Bonneh, Levanon, Dean-Pardo, Lossos, & Adini, 2011; Tager-Flusberg, 1981). However, their exact characteristics and underlying mechanisms, as well as their consistency and diagnostic power, remains uncertain (Bonneh et al., 2011; Paul, Augustyn, Klin, & Volkmar, 2005). Despite the potential for enabling an objective and quantitative marker for ASD, current diagnostic criteria do not include atypical vocalisations (Bonneh et al., 2011; DSM-IV, 2000).
Preliminary data from a semi-qualitative analysis by Marwick et al. (2012) recently demonstrated, using a holistic analysis of interpersonal behaviours within early social interaction at one year, that adult activity and adult speech strongly predict psychiatric diagnosis in the child at seven years of age. Specifically, lower levels of adult activity and lower levels of adult speech significantly predicted caseness and the diagnostic groups of: any ADHD, inattentive ADHD, any emotional disorder, any anxiety disorder, DBDs, oppositional defiant and/or DBD-NOS, and conduct disorder at seven years of age. Analysis of interactive behaviours of the child revealed no such predictors of later psychopathology. To establish the social interactive behaviours that predict later psychiatric diagnosis the authors examined 180 videos of a parent–infant interaction when children were aged one year, from within the Avon Longitudinal Study of Parents and Children (ALSPAC) cohort. Sixty of the videos involved infants who were later diagnosed with a psychiatric disorder at seven years, and 120 were a randomly selected sex-matched control group (Marwick et al., 2012). The analysis was qualitative, impressionistic and examined multiple domains of behaviour (Well-being, Contingent Responsiveness, Cooperativeness, Involvement, Activity, Playfulness, Fussiness and Speech). A Likert scale (from 1 to 5) was used to record the observations. Such scales can be intrinsically insensitive to subtle differences (Finstad, 2010) and Marwick et al.’s (2012) findings of adult activity and adult speech predicting later psychiatric diagnosis in the child merit further investigation using a more fine-grained, quantitative approach. The reported lack of statistically significant association between later psychopathology and infant vocalisation in Marwick et al.’s paper was surprising and also requires quantitative confirmation or refutation. The approach adopted in the present paper builds on these findings using a robust, quantitative and objective approach to investigating vocalisations in infant–caregiver interactions.
It is also important to explore potential confounding factors or predictors. Marwick et al.’s (2012) results were adjusted either for the sex of the infant alone, or for the sex of the infant and the depression and anxiety scores of the mother at 32–40 weeks gestation and 8 months postnatal. Maternal depression is widely reported to have negative associations with child development and later mental health (Bayley, 1993; Field et al., 2007; Field, Diego, & Hernandez-Reif, 2009; Murray, Kempton, Woolgar, & Hooper, 1993; Murray, Marwick, & Arteche, 2010; Reissland, Shepherd, & Herrera, 2003). In addition to the potential confounders of maternal depression and child gender, we also explored birth weight, and weight, length and ponderal index at 12 months; parental social status (defined by employment type) and the mother's age at the birth of the child. Young maternal age is a risk factor for behaviour problems in children (Wakschlag et al., 2000) and young mothers encounter more adverse family characteristics and, during interactions with their toddlers, demonstrate more inadequate, restrictive and negative parenting practices (D’Onofrio et al., 2009; Trautmann-Villalba, Gerhold, Laucht, & Schmidt, 2004). Preterm birth is a risk factor for psychiatric morbidity in childhood, adolescence and young adulthood (Hack, 2009; Johnson & Marlow, 2011). Increased risk has also been reported in adults born at term with low birth weight, characterised as small for gestational age (SGA), although results have been less consistent (Monfils Gustafsson, Josefsson, Ekholm Selling, & Sydsjo, 2009; Vasiliadis, Buka, Martin, & Gilman, 2010). Low birth weight has also been found to be a risk factor for later development of psychiatric disorders (Lund et al., 2012). Low birth weight predicts increased risk for autism (Burd, Severud, Kerbeshian, & Klug, 1999; Hack et al., 2009), attention-deficit/hyperactivity disorder (ADHD; Hack et al., 2009; Saigal, Pinelli, Hoult, Kim, & Boyle, 2003; Szatmari, Saigal, Rosenbaum, Campbell, & King, 1990; Szatmari, Saigal, Rosenbaum, & Campbell, 1993) and anxiety (Hack et al., 2009; Levy-Schiff et al., 1994). Parental social status has also been found to have an impact on childhood risk for psychiatric disorders (e.g., Gissler, Rahkonen, Järvelin, & Hemminki, 1998; Mäkikyrö et al., 1997).
Examination of vocal expressive behaviours in early adult–infant interaction would be valuable to enable assessment of the predictive utility of caregiver and infant vocalisation behaviours in relation to later diagnosis of psychopathology. Based on videoed caregiver–infant interactions from a large contemporary birth cohort, we examined whether the quantity and duration of both infant and parent vocalisation could predict child psychopathology at seven years of age. To our knowledge, this is the first study to assess objectively whether the duration and frequency of early vocalisation predicts later psychopathology using a case-control design, nested within a population-based prospective study.
The sample consists of participants from the Avon Longitudinal Study of Parents and Children (ALSPAC). ALSPAC is an ongoing population-based study exploring a wide range of environmental and other influences on the health and development of children (Boyd et al., 2012; Golding, Pembrey, Jones, & ALSPAC Study Team, 2001; Golding & ALSPAC Study Team, 2004). Pregnant women resident in the former Avon Health Authority in south-west England, having an estimated date of delivery between 1 April 1991 and 31 December 1992 were invited to take part, producing a ‘core’ cohort of 13,988 singletons/twins alive at 12 months of age. The sample used in the present study consists of an approximately 10% sample of the core ALSPAC cohort who were invited to attend “Children in Focus” clinics after birth. Some 1240 participating families (typically mother/infant dyads) attended the clinic held when infants were 12 months old. A variety of assessments were carried out at the clinic, including the Thorpe Interaction Measure (TIM) (Thorpe, Greenwood, & Rutter, 2003). The TIM involves a caregiver (usually the mother) and their child sharing a picture book, with the caregivers asked to interact with their child in the same way that they would at home. All interactions took place in a ‘living room’ style environment in the clinic, and were videoed. Parents were instructed to stop when the child lost interest in the activity or became distressed and the video recording was terminated.
Our sample comprised 180 videos. Sixty were of infants who were later given a psychiatric diagnostic categorisation of at least one of the following: autism, conduct disorder, attention-deficit/hyperactivity disorder (ADHD), or emotional disorders as assessed using the Development and Wellbeing Assessment (DAWBA) (Goodman, Ford, Richards, Gatward, & Meltzer, 2000) in children remaining in the cohort at 91 months of age. One hundred and twenty videos were randomly selected to form the sex-matched control group. The DAWBA is a structured diagnostic assessment which relies on parental and teacher reports, with final diagnoses confirmed by a child psychiatrist from the questionnaire responses. Diagnostic categories were as follows: disruptive behaviour disorders (ADHD and/or any oppositional/conduct disorder), oppositional-conduct disorders (either conduct disorder, oppositional-defiant disorder or disruptive behaviour disorder-not otherwise specified (DBD-NOS)), ADHD (either combined, inattentive or hyperactive-impulsive type), pervasive developmental disorder (autism), or any emotional disorder (anxiety, depression or phobias). The mother–infant interactions had a mean audio duration of 259 (SD 152) s. Ethical approval was obtained from the ALSPAC Law and Ethics Committee and the Local Research Ethics Committees.
Audio files were extracted from the video files, and were used for the analysis. Vocalisations by both the caregiver and the infant were analysed using PRAAT (a free software program for the analysis of vocalisation pitch and timing – http://www.fon.hum.uva.nl/praat/). The software allowed accurate recording of the onset and offset time of each vocalisation. The two raters were blind to the later diagnostic status of the infants.
Videos with no usable audio were excluded. Due to small numbers, we excluded videos where the sole caregiver was the father. Where both parents were recorded in the video, we present data in relation to maternal vocalisations only.
The total duration of vocalisations (seconds) and the number of discrete vocalisations by both the infant and mother were calculated. By dividing by the total audio duration for each video, this gave the vocalisation rate (total vocalisation duration/total audio duration) and vocalisation frequency (number of vocalisations/total audio duration) for each individual. Twenty randomly selected audio files were appraised by both raters. The reliability of each measure was assessed using inter class correlation coefficients.
Linear regression models were used to assess factors that might be associated with infant and maternal vocalisation rates. Child vocalisation rates were positively skewed and were log transformed prior to analysis. Poisson regression models were used to investigate factors associated with vocalisation frequencies. Models were fitted with total number of vocalisations as the response and the log of the total audio duration as an offset term. Potential predictors were: child gender, birth weight, and weight, length and ponderal index at 12 months; parental social status (defined by employment type), maternal age at birth and depression measured using the Edinburgh Postnatal Depression Scale (EPDS) (Cox, Holden, & Sagovsky, 1987) at 32–40 weeks gestation and at 8 months postnatally. These factors were selected as potential risk factors in infant diagnosis. Variables that were significant at the 10% level were considered potential confounders, and were used to adjust later regression models.
Associations between vocalisation variables and case–control status, and each diagnostic subgroup, were first assessed graphically. Multivariate logistic regression models were fitted to test whether infant and maternal vocalisation variables were independently predictive of diagnostic outcomes after adjusting for potential confounders. In general, vocalisation frequencies demonstrated greater predictive ability than vocalisation rate, so we present results for these variables only. Odds ratios associated with an increase of five vocalisations per minute, with 95% confidence intervals and p-values, are presented. Due to the low numbers for some case diagnosis, Firth's penalised-likelihood logistic regression (Firth, 1993) was used.
For the primary analysis of overall case status, a significance level of 5% was used as evidence of an association. The statistical software package R for Windows v2.14 (R Development Core Team, 2012) was used for all analyses and the package logistf (Ploner, Dunkler, Southworth et al., 2010) was used for the Firth's logistic regression.
No vocalisation data were available for four videos due to poor quality. Seven videos, in which the sole caregiver present was the father, were excluded. The remaining 169 videos from which audio files were extracted included 58 children who went on to develop psychopathology, and 111 controls. Table 1 shows the number of children with any psychiatric diagnosis and within each of the diagnostic subgroups.
Maternal vocalisation rates and frequencies were highly reliable, with interclass correlation coefficients (ICCs) of 83% and 88% respectively. Infant vocalisation rates were slightly less reliable, with an ICC of 61%, but vocalisation frequency was more reliably measured, with an ICC of 85%.
The results of the regression analysis of maternal and infant vocalisation variables are shown in Table 2. Both maternal vocalisation variables were positively associated with the mother's age at birth, and the birth weight of the infant. Child vocalisation rates were predicted by gender, with male children vocalising for longer. Infant vocalisation frequency was predicted by the child's ponderal index and maternal social class, with larger children and children of mothers in non-manual employment having more vocalisations.
Figs. 1 and 2 show the distribution of infant and maternal vocalisation frequencies per minute amongst controls and cases, and for each diagnostic subgroup. Maternal vocalisation frequency tended to be higher among controls, while child vocalisation frequency was higher among cases.
Table 3 shows the independent associations between child and maternal vocalisation frequencies and later development of psychopathology, adjusted for the potential confounders of child birth weight, child ponderal index, maternal employment category and maternal age at birth, overall and for each diagnostic subgroup. Decreased maternal vocalisation frequency was associated with being a case, with a 31% reduction in the odds of being a case for every increase of five maternal vocalisations per minute. Similar associations were observed for disruptive behaviour disorders, oppositional conduct disorders, emotional disorders and (though not reaching nominal statistical significance) ADHD. Child vocalisation frequency was not associated with overall case status, but did show evidence of being associated with disruptive behaviour disorders, with an estimated 77% increase in the odds of being diagnosed with DBD for every increase of five child vocalisations per minute. Associations of a similar magnitude were observed for oppositional conduct disorders and ADHD, but were not statistically significant. Neither maternal nor child vocalisations were found to predict later diagnosis of pervasive development disorder.
Based on a large cohort of infants, we investigated the predictive utility of parent–child vocalisation at 12 months in the diagnosis of psychiatric disorder. Lower vocalisation frequency in the mother predicted diagnosis of all-case psychopathology in the infant. Subgroup analysis identified a trend in lower maternal frequency of vocalisations being associated with infant diagnoses of disruptive behaviour disorders, oppositional-conduct disorders and emotional disorders. Child vocalisation frequency was not associated with overall case status. Interestingly, higher infant vocalisation frequency did show evidence of being associated with disruptive behaviour disorders. Although vocalisation measures were clearly associated with later psychopathology, there are substantial overlaps between case and control values. Considerable refinement will therefore be required before such measures can be used in clinical prediction.
The approach in the present paper enabled the detection of more subtle differences between cases and controls through the use of quantitative, as compared to observational, methods used by Marwick et al. (2012). We report here a difference in vocalisations between case and control infants which was not found by Marwick et al. (2012). The mechanism of this association between increased infant vocalisation and later disruptive behaviour disorders may lie in parental factors such as maternal unresponsiveness (Latimer et al., 2012; Shaw, Bell, & Gilliom, 2000) in genetic factors or gene–environment interactions (Comings, 1997; Faraone, 2004). Similarly, the association between altered maternal vocalisation frequencies and later diagnosis of child psychopathology cannot simply be explained by maternal social class, which has been found in previous research to influence the extent of parental speech to their children (e.g., Hart & Risley, 1995) but confounding by maternal IQ and genetic factors cannot be ruled out in this study design.
Of particular interest were the findings that it was the parents’ vocalisation behaviour that most markedly predicted later onset of psychopathology in the one-year-old infants. Previous studies have found that caregiver behaviour can influence later child psychiatric diagnosis. Adult behaviour during infancy and early childhood can have a negative impact on both child development and later behaviour (Beebe et al., 2011; Belsky, Hsieh, & Crnic, 1998; Olson, Bates, Sandy, & Schilling, 2002). Maternal responsiveness during the first year of life has also been found to be inversely linked to future child conduct problems (Kochanska, 1997; Olson, Bates, Sandy, & Lanthier, 2000; Shaw et al., 2000; Wakschlag & Hans, 1999) and low maternal involvement in play with young children may be an important factor in the development of behaviour problems (Mash & Johnston, 1982). Our finding of reduced frequency of maternal vocalisations being significantly associated with later diagnosis of behaviour disorders in the infant may similarly indicate reduced maternal involvement and responsiveness at one year. Adult speech or involvement has previously been reported to be associated with child psychiatric diagnosis: low maternal involvement in play may be an important factor in the development of behaviour problems (Gardner, 1994). Compared to controls, mothers of children with ADHD were found to initiate less interaction and respond less often to child initiated interaction (Mash & Johnston, 1982). A weakness of this study is that it does not enable a direct investigation of the directionality of effect in the mother-child interaction (Mash & Johnston, 1982).
We did not find that simple infant vocalisation measures predicted autism. One previous study found that 6–12 month old infants at high risk for ASD were found to produce, on average, significantly fewer speech-like vocalisations and more non-speech vocalisation compared to their low risk peers (Paul, Fuerst, Ramsay, Chawarska, & Klin, 2011). Early vocalisation differences in children with autism or at risk of a diagnosis of autism have been found in other studies (Schoen, Paul, & Chawarska, 2011; Warren et al., 2010). A potential explanation for the differences in findings between our study and those of previous studies could be the context of the mother–infant interaction in the present study. However, our sample included only six cases of autism so there may not have been sufficient power to predict caseness. The structure of the observational situation used here reduced the social demand of the context and modulated the child's activity and behaviour, the recording being stopped when the child lost interest or became distressed by the task. Furthermore, we simply examined quantity and did not assess the quality or sequential patterns of vocalisation between mother and child (Stern, 1985/2000; Trevarthen, 2001).
While simple infant vocalisation measures were not found to predict autism in our study, they were found to predict disruptive behaviour disorders. Specifically, increased infant vocalisations predicted disruptive behaviour disorders, which is in contrast to the adult caregivers where reduced vocalisations were found to be associated with the subsequent development of disruptive behaviour disorder in the child. To our knowledge, no previous study has investigated earlier vocal qualities of caregivers and their infants who later go on to receive a diagnosis of disruptive behavioural disorder, so this finding suggests that further research into this association may be of clinical importance.
A potential limitation of the present study is the relatively small diagnostic sub-group sample sizes, particularly in relation to pervasive developmental disorder. Additionally our analysis focused only on vocalisation duration and frequency. An extended analysis of intonation and content could have been informative but the sound quality on the videos, while adequate for rating occurrence and onset and offset times of vocalisations, precluded more detailed linguistic and pitch contour analysis.
Furthermore, in the present study, there may be some chance of cases being within the control group and vice versa. It is well known that both under-diagnosis and over-diagnosis routinely occur in ADHD (Reid, Hakendorf, & Prosser, 2002).
The present study used recorded material collected within a prospective longitudinal community-based cohort study. This allowed analysis of vocalisation patterns in maternal–infant interaction at a very young age to be carried out in relation to a range of later psychiatric diagnostic categorisations, and also avoided the use of retrospective parental reports, which can be biased and subject to recall/memory problems. An additional strength of the present study is that all the children in the study received an independent psychiatric diagnostic categorisation using the DAWBA at age 7 years (Goodman et al., 2000). We also demonstrated that maternal depression at 32–40 weeks gestation and at 8 months postnatally did not account for the observed relationship between vocalisation and later psychopathology. Lastly, our analysis identified and controlled for a number of potential confounding influences upon the associations under consideration.
Investigating early predictors or risk factors for later childhood psychopathology is important for early detection and timely intervention (Zahn-Waxler, Iannotti, Cummings, & Denham, 1990). The present findings indicate that vocalisation patterns offer an area of potential clinical interest in assessing developmental risk. Our findings tend to support the widely held view that advising mothers to talk more with their children is important for their future development.
A future prospective cohort study could explore whether vocal elements other than duration and frequency in parent–infant interaction can predict later child psychopathology. The association between later child psychopathology and other elements within caregiver–infant early vocal communicative expressiveness such as rhythmic timing in the alternation of maternal and infant utterances, patterns of intonation, atypical use of pitch and volume modulation could be explored.
We found that reduced levels of caregiver vocalisation and increased levels of infant vocalisation predicted later childhood development of disruptive behaviour disorders. An exploration of the relative effects of genetic and behavioural contributions made by parental ADHD or other neurodevelopmental disorders on the child's psychopathology would be of significant clinical interest.
The next logical step is to analyse synchronicity patterns in the videos, and the relationship of caregiver vocalisation with parenting behaviours. Such analyses should yield useful data on the relationship between broader aspects of the observed parent–infant interaction and the development of psychopathology.
There is a clear statistical association between reduced vocalisation frequencies in the adult caregiver and subsequent diagnosis of disruptive behaviour disorder, oppositional or conduct disorders, and emotional disorder. By contrast, increased levels of infant vocalisation are associated with disruptive behaviour disorders. Our findings highlight the potential value of analysis of parent–infant vocalisations in predicting later development of psychopathology. It remains to be established whether analyses of this kind can contribute to the development of screening instruments for disorders amenable to early intervention (Wilson, Minnis, Puckering, & Gillberg, 2009).
The authors declare that they have no conflicts of interest.
|Bayley N.. The Bayley scales of infant development2nd ed.Year: 1993The Psychological CorporationSan Antonio, TX|
|Beebe B.,Steele M.,Jaffe J.,Buck K.,Chen H.,Cohen P.. Maternal anxiety symptoms and mother–infant self- and interactive contingencyInfant Mental Health Journal32Year: 2011174206|
|Belsky J.,Hsieh K.H.,Crnic K.. Mothering, fathering, and infant negativity as antecedents of boys’ externalising problems and inhibition at age 3 years: Differential susceptibility to rearing experience?Development and Psychopathology10Year: 19983013209635226|
|Bonneh Y.S.,Levanon Y.,Dean-Pardo O.,Lossos L.,Adini Y.. Abnormal speech spectrum and increased pitch variability in young autistic childrenFrontiers in Hum Neuroscience19Year: 2011237|
|Boyd A.,Golding J.,Macleod J.,Lawlor D.A.,Fraser A.,Henderson J.. Cohort profile: The ‘Children of the 90s’—the index offspring of the Avon Longitudinal Study of Parents and ChildrenInternational Journal of EpidemiologyYear: 2012, April (Epub ahead of print).|
|Breznitz Z.. The speech and vocalization patterns of boys with ADHD compared with boys with dyslexia and boys without learning disabilitiesJournal of Genetic Psychology164Year: 200342545214719777|
|Burd L.,Severud R.,Kerbeshian J.,Klug M.G.. Prenatal and perinatal risk factors for autismJournal of Perinatal Medicine27Year: 199944145010732302|
|Comings D.E.. Genetic aspects of childhood behavioral disordersChild Psychiatry and Human Development27Year: 19971391509062006|
|Cox J.L.,Holden J.M.,Sagovsky R.. Detection of postnatal depression – development of the 10-item Edinburgh postnatal depression scaleBritish Journal of Psychiatry150Year: 19877827863651732|
|Dawson G.. Early behavioral intervention, brain plasticity, and the prevention of autism spectrum disorderDevelopment and Psychopathology20Year: 200877580318606031|
|D’Onofrio B.M.,Goodnight J.A.,Van Hulle C.A.,Rodgers J.L.,Rathouz P.J.,Waldman I.D.. Maternal age at childbirth and offspring disruptive behaviors: Testing the causal hypothesisJournal of Child Psychology and Psychiatry50Year: 20091018102819281603|
|DSM-IV. American Psychiatric Association (APA). Diagnostic and statistical manual of mental disorders4th ed., text rev.Year: 2000(DSM-IV-TR)Washington, DC|
|Faraone S.V.. Genetics of adult attention-deficit/hyperactivity disorderPsychiatric Clinics of North America27Year: 200430332115063999|
|Field T.,Hernandez-Reif M.,Diego M.,Feijo L.,Vera Y.,Gil K.. Still-face and separation effects on depressed mother–infant interactionsInfant Mental Health Journal28Year: 2007314323|
|Field T.,Diego M.,Hernandez-Reif M.. Depressed mothers’ infants are less responsive to faces and voicesInfant Behavior and Development32Year: 200923924419439359|
|Finstad K.. Response interpolation and scale sensitivity: Evidence against 5-point scaleJournal of Usability Studies5Year: 2010104110|
|Firth D.. Bias reduction of maximum likelihood estimatesBiometrika80Year: 19932738|
|Gardner F.E.M.. The quality of joint activity between mothers and their children with behavior problemsJournal of Child Psychology and Psychiatry35Year: 19949359487962249|
|Gartstein M.A.,Crawford J.,Robertson C.D.. Early markers of language and attention: Mutual contributions and the impact of parent–infant interactionsChild Psychiatry and Human Development39Year: 200792617570055|
|Gissler M.,Rahkonen O.,Järvelin M.R.,Hemminki E.. Social class differences in health until the age of seven years among the Finnish 1987 birth cohortSocial Science and Medicine46Year: 1998154315529672394|
|Golding J.,Pembrey M.,Jones R.,ALSPAC Study Team. ALSPAC—The Avon Longitudinal Study of Parents and Children. I. Study methodologyPaediatric and Perinatal Epidemiology15Year: 2001748711237119|
|Golding J.,ALSPAC Study Team. The Avon Longitudinal Study of Parents and Children (ALSPAC)—Study design and collaborative opportunitiesEuropean Journal of Endocrinology151Suppl. 3Year: 2004U119U12315554896|
|Goodman R.,Ford T.,Richards H.,Gatward R.,Meltzer H.. The Development and Well-Being Assessment: Description and initial validation of an integrated assessment of child and adolescent psychopathologyJournal of Child Psychology and Psychiatry41Year: 200064565510946756|
|Hack M.,Taylor H.G.,Schluchter M.,Andreias L.,Drotar D.,Klein N.. Behavioral outcomes of extremely low birth weight children at age 8 yearsJournal of Developmental and Behavioral Pediatrics30Year: 200912213019322106|
|Hack M.. Adult outcomes of preterm childrenJournal of Developmental Behavioral Pediatrics30Year: 200946047019823140|
|Hart B.,Risley T.. Meaningful differences in the everyday experience of young American childrenYear: 1995Paul H. Brookes PublishingBaltimore|
|Isabella R.A.,Belsky J.,von Eye A.. Origins of infant–mother attachment: An examination of interactional synchrony during the infant's first yearDevelopmental Psychology25Year: 19891221|
|Johnson S.,Marlow N.. Preterm birth and childhood psychiatric disordersPediatric Research69Year: 2011 11R-8R.|
|Kochanska G.. Mutually responsive orientation between mothers and their young children: Implications for early socializationChild Development68Year: 1997941129084128|
|Latimer K.,Thompson L.,Kemp J.,Wilson P.,Gillberg C.,Minnis H.. Attention Deficit Hyperactivity Disorder, conduct disorder and other disruptive behaviour disorders: A systematic review of antenatal and early years risk factorsChild: Care Health and Development38Year: 2012611628|
|Levy-Schiff R.,Einat G.,Har-Even D.,Mogilner M.,Mogilner S.,Lerman M.. Emotional and behavioral adjustment in children born prematurelyJournal of Clinical Child Psychology23Year: 1994323333|
|Lund L.K.,Vik T.,Skranes J.,Lydersen S.,Brubakk A.M.,Indredavik M.S.. Low birth weight and psychiatric morbidity; stability and change between adolescence and young adulthoodEarly Human Development88Year: 201262362922325843|
|Mäkikyrö T.,Isohanni M.,Moring J.,Oja H.,Hakko H.,Jones P.. Is a child's risk of early onset schizophrenia increased in the highest social class?Schizophrenia Research23Year: 19972452529075303|
|Marwick H.,Doolin O.,Allely C.S.,McConnachie A.,Johnson P.,Puckering C.. Predictors of diagnosis of child psychiatric disorder in adult–infant social-communicative interaction at 12 monthsResearch in Developmental DisabilitiesYear: 2012|
|Marwick H.M.,Murray L.. The effects of maternal depression on the ‘musicality’ of infant directed speech and conversational engagement. In: Communicative musicalityYear: 2010Oxford University PressOxford pp. 281-300.|
|Mash E.J.,Johnston C.. A comparison of the mother–child interactions of younger and older hyperactive and normal childrenChild Development53Year: 1982137113817140436|
|Monfils Gustafsson W.,Josefsson A.,Ekholm Selling K.,Sydsjo G.. Preterm birth or foetal growth impairment and psychiatric hospitalization in adolescence and early adulthood in a Swedish population-based birth cohortActa Psychiatrica Scandinavica119Year: 2009546118822091|
|Murray L.,Kempton C.,Woolgar M.,Hooper R.. Depressed mothers’ speech to their infants and its relation to infant gender and cognitive developmentJournal of Child Psychology and Psychiatry34Year: 1993108311018245134|
|Murray L.,Marwick H.,Arteche A.. Sadness in mothers’ ‘baby-talk’ predicts affective disorder in adolescent offspringInfant Behavior and Development33Year: 201036136420434219|
|Olson S.L.,Bates J.E.,Sandy J.M.,Lanthier R.. Early developmental precursors of externalizing behavior in middle childhood and adolescenceJournal of Abnormal Child Psychology28Year: 200011913310834765|
|Olson S.L.,Bates J.E.,Sandy J.M.,Schilling E.M.. Early developmental precursors of impulsive and inattentive behavior: From infancy to middle childhoodJournal of Child Psychology and Psychiatry43Year: 200243544712030590|
|Paul R.,Augustyn A.,Klin A.,Volkmar F.R.. Perception and production of prosody by speakers with autism spectrum disordersJournal of Autism and Developmental Disorders35Year: 200520522015909407|
|Paul R.,Fuerst Y.,Ramsay G.,Chawarska K.,Klin A.. Out of the mouths of babes: Vocal production in infant siblings of children with ASDJournal of Child Psychology and Psychiatry52Year: 201158859821039489|
|Ploner, M., Dunkler, D., Southworth, H., et al. (2010). Logistf: Firth's bias reduced logistic regression R package version 1.10. http://cran.r-project.org/package=logistf.|
|R Development Core Team. (2012). R: A language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing. ISBN 3-900051-07-0, URL: http://www.r-project.org/.|
|Reid R.,Hakendorf P.,Prosser B.. Use of psychostimulant medication for ADHD in South AustraliaJournal of the American Academy of Child and Adolescent Psychiatry41Year: 200290691312162626|
|Reissland N.,Shepherd J.,Herrera E.. The pitch of maternal voice: A comparison of mothers suffering from depressed mood and non-depressed mothers reading books to their infantsJournal of Child Psychology and Psychiatry44Year: 200325526112587861|
|Saigal S.,Pinelli J.,Hoult L.,Kim M.M.,Boyle M.. Psychopathology and social competencies of adolescents who were extremely low birth weightPediatrics111Year: 200396997512728073|
|Schoen E.,Paul R.,Chawarska K.. Phonology and vocal behavior in toddlers with autism spectrum disordersAutism Research4Year: 201117718821308998|
|Shaw D.S.,Bell R.Q.,Gilliom M.. A truly early starter model of antisocial behavior revisitedClinical Child and Family Psychology Review3Year: 200015517211225751|
|Stern D.N.. The interpersonal world of the infant: A view from psychoanalysis and developmental psychology2nd ed., with new IntroductionYear: 2000Basic BooksNew York|
|Szatmari P.,Saigal S.,Rosenbaum P.,Campbell D.,King S.. Prevalence of psychiatric disorders at five years of age among children born under 1000 g birthweight: A regional perspectiveDevelopmental Medicine of Child Neurology32Year: 1990954962|
|Szatmari P.,Saigal S.,Rosenbaum P.,Campbell D.. Psychopathology and adaptive functioning among extremely low birthweight children at eight years of ageDevelopment and Psychopathology5Year: 1993345357|
|Tager-Flusberg H.. On the nature of linguistic functioning in early infantile autismJournal of Autism and Developmental Disorders11Year: 198145566927698|
|Thorpe K.J.,Greenwood R.,Rutter M.. Twins as a natural experiment to study the causes of language delay: II. Examination of patterns of family interaction and home environmentJournal of Child Psychology and Psychiatry44Year: 200332634112635964|
|Trautmann-Villalba P.,Gerhold M.,Laucht M.,Schmidt M.H.. Early motherhood and disruptive behaviour in the school-age childActa Paediatrica93Year: 200412012514989451|
|Trevarthen C.. Infant intersubjectivity: Research, theory, and clinical applicationsJournal of Child Psychology and Psychiatry42Year: 200134811205623|
|Tronick E.Z.. Emotions and emotional communication in infantsAmerican Psychologist44Year: 19891121192653124|
|Vasiliadis H.M.,Buka S.L.,Martin L.T.,Gilman S.E.. Fetal growth and the lifetime risk of generalized anxiety disorderDepression and Anxiety27Year: 20101066107220734359|
|Wakschlag L.S.,Hans S.L.. Relation of maternal responsiveness during infancy to the development of behavior problems in high-risk youthsDevelopmental Psychology35Year: 199956957910082027|
|Wakschlag L.S.,Gordon R.A.,Lahey B.B.,Loeber R.,Green S.M.,Leventhal B.L.. Maternal age at first birth and boys’ risk for conduct disorderJournal of Research on Adolescence10Year: 2000417441|
|Warren S.F.,Gilkerson J.,Richards J.A.,Oller D.K.,Xu D.,Yapanel U.. What automated vocal analysis reveals about the vocal production and language learning environment of young children with autismJournal of Autism and Developmental Disorders40Year: 201055556919936907|
|Wilson P.,Minnis H.,Puckering C.,Guillberg C.. Should we aspire to screen preschool children for conduct disorder?Archives of Disease in Childhood94Year: 200981281619398431|
|Zahn-Waxler C.,Iannotti R.J.,Cummings M.E.,Denham S.. Antecedents of problems behaviors in children of depressed mothersDevelopment and Psychopathology2Year: 1990271291|
We are extremely grateful to all the families who took part, the midwives for 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. Maria-Eleni Dimopolou and Tom Marwick analysed the sound files using PRAAT. The audio files were extracted by Matthew Marwick using Corel audio/video software. The United Kingdom Medical Research Council, the Wellcome Trust, and the University of Bristol currently provide core support for ALSPAC. The project was supported by small grants from the Yorkhill Children's Foundation, the Gillberg Neuropsychiatry Centre and the Waterloo Foundation.
Keywords: Keywords Avon Longitudinal Study of Parents and Children (ALSPAC), Autism, Attention Deficit Hyperactivity Disorder (ADHD), Disruptive behaviour disorders, Vocalisation patterns.
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