Skip to main content

Pragmatic competence in people with dual diagnosis: down syndrome and autism spectrum disorder

Abstract

Background

Pragmatics is an area that can be affected in a wide variety of disorders. In this sense, Syndromic Autism is defined as a disorder in which a causal link is established between an associated syndrome and Autism Spectrum Disorder (ASD). Likewise, Down Syndrome (DS) is one of the main genetically based syndromes in which ASD is described as one of its possible manifestations. In this direction, people with DS are described as social beings whereas in ASD there seems to be a specific alteration of this domain.

Methods

In this study, pragmatic performance was analysed in a sample of 72 participants, where comparisons were made between the scores obtained by children with ASD (n = 24), with DS (n = 24) and with DS + ASD (n = 24).

Results

The Social Communication Questionnaire (SCQ), the Block Objective and Criterial Language Battery (BLOC-SR) and the Neuropsychology subtest (NEPSY-II) aimed at Theory of Mind (ToM) identified significant differences between the groups. However, two-to-two comparisons reported no significant differences between DS and DS + ASD.

Conclusions

Although several studies report differences between the three proposed groups, our data seem to suggest that ASD symptomatology in DS is associated with Intellectual Developmental Disorder (IDD). However, the lack of solid scientific evidence regarding comorbid diagnosis makes further research along these lines indispensable.

Trial registration

This study was approved by the Ethics Committee for Social Research at UCLM with reference CEIS-704,511-L8M4.

Peer Review reports

Background

Autism Spectrum Disorder (ASD) is a Neurodevelopmental Disorder characterized by persistent deficits in communication and social interaction [1], as well as restricted and repetitive patterns of behaviors and interests [2], without these deficits being better explained by the presence of an Intellectual Development Disorder (IDD) [3]. In Spain, it is estimated that 15 out of every 1000 school-age children exhibit symptoms compatible with ASD [4]. In this regard, according to data from the National Institute of Statistics (2020), it could be said that the exponential growth in ASD diagnoses over the last three decades, going from an estimated prevalence of 1.1 case per 10,000 inhabitants in 1999 to 3.3 cases per 10,000 inhabitants currently [5], is due to changes in diagnostic criteria [6].

Given all of this, it is not surprising that the diagnosis of ASD is considered a challenging process. However, if we add an underlying genetic syndrome to the mix, the detection becomes even more complex [7]. These cases not classified in diagnostic manuals are known as syndromic autism or “double syndromes,” with an estimated prevalence of 20% [8]. Specifically, authors like Artigas-Pallares, Gabau-Vila & Guitart-Feliubadaló (2005b) reported that Down Syndrome (DS) is one of the main genetically based syndromes in which ASD is described as one of its possible manifestations [9]. In this context, scientific literature has found high prevalence rates for the presence of this comorbidity, ranging from 18 to 38% [10].

In this regard, DS is one of the most common conditions within IDD, commonly known as Intellectual Disability (ID) [11,12,13]. DS is understood as a congenital syndrome resulting from the presence of an additional chromosome in pair 21 [14, 15], and it is characterized by atypical individual development [16, 17], generalized delays in developmental milestones, personal/social domain [18], adaptive functioning [19, 20] and linguistic development [21].

Based on the aforementioned background and considering various studies confirming the connection between ASD and ID [22], some research has reported increased severity of prototypical ASD symptoms in individuals with genetic syndromes as their Intellectual Quotient (IQ) decreases [23]. However, some studies have described reduced sensitivity and specificity of ASD diagnostic tools, such as the Autism Diagnostic Observation Schedule– 2 (ADOS-2) [24] or the Autism Diagnostic Interview– Revised (ADI-R) [25], when used in individuals with genetic syndromes [26]. From this perspective, analyses by Marlborough et al. (2021) and Thurm et al. (2019) examined the performance of ID in the characteristic behavioral patterns of ASD in genetic disorders [27, 28] such as DS and Fragile X Syndrome (FXS) [29, 30]. As a result, it was concluded that the level of ID did not justify an increased prevalence of clinical ASD characteristics in DS and FXS. It is notable that most studies focused on analyzing the clinical phenotype of the DS + ASD population establish comparisons predominantly with the DS population [10, 26, 29,30,31,32,33,34]. These comparisons seem to have been based on the assumption that individuals with a comorbid diagnosis, in addition to more severe cognitive, communicative, and behavioral deficits, would also have a specific and distinctive phenotype in relation to ASD. For instance, concerning the cognitive aspect, studies emphasizing the impact on the population with a DS diagnosis and those with a comorbid diagnosis confirm that the latter have lower IQ [10, 34] and limited comprehensive and expressive language skills [35], among others. Therefore, several studies have determined that those with the comorbid diagnosis of DS + ASD exhibit greater impairment in the language component compared to ASD or DS alone [36].

Hence, while research on DS + ASD is ongoing, the early identification of this dual diagnosis is complex due to the overlap of behavioral signs in these disorders [37,38,39]. Nonetheless, studies have identified two patterns of ASD onset in DS [40, 41]. In the first scenario, research such as that by Hahn, Hamrick, Kelleher & Roberts (2020) or Hepburn, Philofsky, Fidler, et Rogers (2008) showed that ASD symptoms in children with DS diagnosed with ASD emerge early in development, with subjects from both studies demonstrating deficiencies in communication and social skills [42, 43]. Various analyses have corroborated that children with ID and ASD are characterized by inadequate performance in the domains of socialization and communication [44,45,46]. Regarding the second scenario, Castillo et al. (2008) found a plateau in developmental milestones related to language acquisition and use, as well as social skills, where the regression pattern in those with DS + ASD is similar to those with ASD only [47].

For these reasons, we can assert that these investigations primarily emphasize the importance of pragmatic skills and Theory of Mind (ToM) in the DS + ASD population, identifying significant deficits in areas of social and emotional reciprocity [48], clear limitations in communication skills compared to individuals with DS only, and limited or absent meaningful symbolic communication [49].

Methods

Aim

The aim of this present study is to analyze the pragmatic skills of the population with the comorbid diagnosis of DS + ASD to determine the characteristics in this area compared to the population with DS or ASD as a sole diagnosis. The main hypothesis of the study is based on the fact that the pragmatic profile of people with dual diagnosis will be more similar to the population with ASD compared to the population with DS.

Participants

The selection of participants was established based on the following inclusion criteria: (1) Having a diagnosis of DS, ASD, or DS + ASD conducted by a medical specialist or clinical psychologist, (2) Having a chronological age between 8 and 16 years, and (3) Having Spanish as their native language. On the contrary, the exclusion criteria were: (1) Individuals with a medical diagnosis other than DS, ASD, or DS + ASD, (2) Subjects under 8 years of age, or conversely, over 16 years of age, and (3) Participants whose native language is not Spanish. This range wase selected because it is worth noting that the minimum age set is 8 years, as even though the presence of ASD symptoms in DS manifests in early stages, ensuring a certain level of pragmatic development is necessary and we consider that at the age of 16 adolescence has already ended. Additionally, due to the frequency of studies focusing on the DS + ASD population without a truly diagnosed ASD group, we decided to ensure that all participants in that group had a diagnosis of ASD beyond a screening tool. All participants in the DS + ASD group had a clinical diagnosis conducted by a clinical psychologist based on the results from the ADI-R and ADOS-2 assessments.

Therefore, the study comprises minor users from various Spanish entities and associations. Thus, the research involves 72 participants divided into 3 groups. The first group consists of 24 subjects with DS (13 males and 11 females) with a mean age of 11.6 (SD = 2.9). The second group is composed of 24 individuals with ASD (16 males and 8 females), with a mean age of 11.5 (SD = 2.11). The third and final group is formed by 24 children and adolescents with DS + ASD (17 males and 7 females), with a mean age of 11.1 (SD = 2.21). Furthermore, due to the potential influence of participants’ intellectual capacity on pragmatic components, the level of intelligence was assessed using the NEPSY-II neuropsychological assessment battery [50], revealing no significant differences among the groups. The DS participants had an average IQ of 51.8 (SD = 2.61); the group of children and adolescents with ASD had an average IQ of 52.5 (SD = 3.16), and the group of participants with comorbid diagnosis had an average IQ of 49.3 (SD = 3.09).

Instruments

The choice of the instruments was based on the fact that they are currently the questionnaires that are most adaptable for people with special needs. For data collection, Form B of the Social Communication Questionnaire (SCQ) [51] was employed. This screening method assesses communicative and social capacities in children aged 4 and above. The questionnaire comprises 40 questions to be answered affirmatively or negatively by the child’s parents or caregivers. The total score is calculated by summing the number of described behaviors marked as “yes.” It is essential to note that the SCQ should never be considered a diagnostic tool but rather as a filter that guides us on whether a more comprehensive evaluation is needed. If a cut-off score exceeding 15 is obtained, the possibility of ASD is considered, warranting further evaluation. To quantify the obtained criteria, the pragmatic module of the Objective and Criterial Language Battery (BLOC-SR) [52] was administered. This standardized test is intended for users aged 5 to 14, evaluating language use in communicative acts through 23 items related to 4 sub-scenes, originating from a specific scene involving a visit to the veterinarian. The interpretation of scores in this section is more intricate than in others, as if the response is literal, a score of 1 point is immediately assigned; otherwise, the examiner must indicate approval or disapproval of the implied content based on whether the response employs the intended pragmatic category. Finally, to assess the prevalence of mentalistic resources, a subtest from the NEPSY-II [50] called “Theory of Mind” (ToM) was employed. This test comprises two specific tasks: verbal and contextual. In the former, based on a specific description or scenario, questions are posed to determine the ability to attribute beliefs or behaviors to a third party. In the latter, there are 21 items that assess 1st and 2nd order task resolution, comprehension of mentalistic verbs, idiomatic phrases, and inferential stories, imitation, integration of information into a coherent whole, and interpretation of facial expressions based on defined conditions. This subtest evaluates recognition of others’ emotions based on a series of images depicting specific social situations.

Procedure

Initially, contact was established with the Down Syndrome Federation of Castilla - La Mancha and various centers and private clinics in Madrid, Valladolid, Palencia, and Toledo. Information for participation in the project was provided, explaining the potential scope of the study and addressing any queries that may arise. In this regard, an initial meeting was crucial, during which a gathering with patients, caregivers (parents or guardians), and professionals involved in therapeutic intervention took place to ensure understanding of the study and explain the roles of participants and the significance of their involvement. This step empowered them to make decisions freely and knowingly, thereby guaranteeing their informed and voluntary participation. Once the groups agreed, completed, signed, and submitted the informed consent form, a date was scheduled for the administration of assessment tests. The consent had to be expressed by the parent/guardian as the legal representative of the minor or dependent individual. Subsequently, individual sessions of 30 min were arranged for each family, during which the speech therapist conducted the subject’s assessment while parents completed the SCQ. This study was approved by the Ethics Committee for Social Research at University of Castilla-La Mancha with reference CEIS-704,511-L8M4.

Data analysis

Firstly, an exploratory analysis was conducted by examining measures of central tendency (mean and median) and their measures of dispersion. Subsequently, the normality of distribution was assessed through tests of normality, shape statistics (skewness and kurtosis), and normal Q-Q plots with and without trend. The normality of the sample was assessed using the Kolmogorov–Smirnov test, which indicated that the data were non-parametric. Specifically, the Shapiro-Wilk test was employed given that the sample size for each group did not exceed 50 participants. All variables were found to be non-parametric (p < 0.5). Additionally, in order to determine significant differences among the variables, the Kruskal-Wallis analysis of variance test was used, as the variables are quantitative and do not follow a normal distribution.

Results

Firstly, the data reveal that the group comprising children and adolescents with ASD achieves a higher mean score than the groups consisting of individuals with DS and DS + ASD in the SCQ questionnaire. Conversely, they attain a lower mean score compared to the other two groups in the BLOC assessment (Table 1).

Table 1 Mean scores in the different utilized tests

Continuing, the analysis of results concerning the SCQ was undertaken. The results have revealed significant differences (X2(2) = 20.021; p < 0.001) in the total communicative competence level among children with ASD, children with DS + ASD, and children with DS. Specifically, it was observed that all three groups exhibited symptomatology consistent with ASD by surpassing the questionnaire’s cutoff point of 15 points. However, the group consisting of individuals with ASD obtained a higher mean score compared to the other two groups. Pairwise comparisons demonstrated that while significant differences in pragmatic competence level were observed between the DS and ASD groups (W(2) = 5.34; p < 0.001) and between the ASD and DS + ASD groups (W(2) = -5.46; p < 0.01), such differences were absent when comparing the DS and DS + ASD groups (W(2) = -0.04; p > 0.05).

However, when considering the grouping of SCQ items into the three core areas of ASD diagnosis, no significant differences were found between groups: social interaction (H(2) = 3.52; p > 0.05), communication difficulties (H(2) = 0.20; p > 0.05), and restricted, repetitive, and stereotyped behavior (H(2) = 039; p > 0.05).

Moving on to the BLOC results, they once again demonstrated statistically significant differences (H(2) = 20.40; p < 0.001) in pragmatic competence level among children with ASD, children with DS, and children with DS + ASD. In this regard, pairwise comparisons indicated significant differences in pragmatic competence between DS and ASD (W = -5.06; p < 0.001) and between ASD and DS + ASD (W = 5.68; p < 0.001). Conversely, no significant differences were found when comparing groups of children with DS and DS + ASD (W = 1.79; p > 0.05).

Finally, the results regarding the Theory of Mind (ToM) subtest indicated statistically significant differences among groups (H (2) = 21.1; p < 0.001), with the ASD group obtaining the lowest scores. Pairwise comparisons revealed significant differences between the groups comprising individuals with DS and ASD (W = -5.65; p < 0.001) and between those with ASD and DS + ASD (W = 5.47; p < 0.001). Conversely, no differences were found between groups composed of individuals with DS and DS + ASD (W = -1.41; p > 0.05).

Discussion

The objective of the present investigation focused on analyzing whether there were differences in pragmatic skills between the population presenting isolated DS or ASD compared to the comorbid presentation of DS + ASD. This inquiry was prompted by the contentious debate within the scientific community regarding whether the pragmatic alterations commonly associated with ASD observed in the DS population are secondary to the DS or instead linked to comorbidity between both disorders. The results have revealed that the group of children and adolescents with a comorbid diagnosis of DS + ASD exhibited similar characteristics to the DS group and differed in skills from the group with ASD, contrasting with other studies [53, 54]. For example, Channell et al. (2015) reported that individuals with DS showing ASD symptomatology displayed a more pronounced developmental delay, characterized by frequent disruptions in social communication and socioemotional reciprocity compared to those with isolated DS [55]. Similarly, Dressler et al. (2011) evaluated peer relationships [56] using the Vineland Adaptive Behavior Scale (VABS) [57] and found greater impairment in DS + ASD, in contrast to results obtained using the Childhood Autism Rating Scale (CARS) [58], which suggested favorable scores in DS + ASD as opposed to those with ASD.

This disparity in the profile of pragmatic skills reflected in the scientific literature could stem from the fact that the majority of scientific publications employ surveys or interviews with parents aimed at diagnosing ASD, attempting to define symptomatology consistent with the disorder and its severity [35]. From this perspective, the study by Warner et al. (2017), based on the application of the SCQ [51], compared 183 children with ASD to 189 children with DS who scored above 15 on this screening test. The results demonstrated significant differences between both groups in SCQ scores [59], in line with our findings. However, the authors discovered that distinctions primarily occurred in the domain of reciprocal social interaction, unlike our study. This can be attributed to differing perspectives on DS, distinguishing between those who perceive these individuals as sociable beings [60] and those who demonstrate pragmatic difficulties [61].

It appears, therefore, that the findings regarding pragmatic development in these populations suggest that while pragmatic aspects pose challenges in ASD [62], DS [61], and DS + ASD [63], their pragmatic competence differs when compared to each other. Thus, the DS + ASD group [36] seems to exhibit relative patterns of proficiency in this competence when compared to DS. This aligns with prior research by Dressler et al. (2011), which found that, based on the CARS [58], individuals with DS + ASD exhibit greater similarity to those with DS, significantly differing from those with ASD, especially in the imitation skills and interactive pragmatics present in personal relationships [56]. For this reason, it is expected that the DS population tends to be affable and sociable [64], thus not exhibiting deficits in their social and pragmatic skills [60].

On the other hand, focusing on the comparison between DS and ASD, we find that the pragmatic level of DS is conceived as a tool for communication and social interaction, as previously shown in Ferrario’s research [65]. Conversely, ASD presents a pronounced deficit in this component. In this regard, Adamson et al. (2009), comparing 23 children with ASD and 29 children with DS to 56 typically developing children, found that the ASD group exhibited lower intersubjectivity due to more pronounced alterations compared to the DS group [66]. This corroborates our findings, with the ASD group scoring lower than the DS and DS + ASD groups in the pragmatics section of the BLOC.

Furthermore, Godfrey et al. (2019), using the ADI-R [25], assessed individuals with ASD, DS, and DS + ASD, observing that, based on parental criteria, the ASD group, in contrast to the DS + ASD group, displayed a higher index of prototypical ASD-associated behaviors. Likewise, the DS + ASD group exhibited symptoms more similar to ASD than DS, contrary to our results [63].

The obtained data also indicated differences in Theory of Mind (ToM) skills performance among groups of children and adolescents with DS and ASD, as well as between groups of children and adolescents with ASD and DS + ASD. Along these lines, the findings of this study can be interpreted in line with previous research that demonstrated better performance by the DS population compared to the ASD population [67]. Although no literature has been found that directly compares ToM task performance in the DS + ASD population, it would have been expected that they would perform worse than the other two groups, given the existing literature suggesting a more severe deficit profile. However, our data did not reveal significant differences between groups consisting of individuals with DS and DS + ASD, which implies that the ASD-compatible symptomatology detected in the DS population could arise due to the DS itself [68]. Regarding the relationship between Theory of Mind and pragmatic abilities, some authors such as [69], found that in people with ASD, group with “Lower ToM abilities” was characterized by more severe ASD symptoms and poorer pragmatic skills, in terms of inappropriate communicative beginnings and deficits in coherence and interpretation of language depending on the context, among other indicators. This group also showed significantly less mastery of daily living skills and poorer adaptive skills than the “Higher ToM abilities” profile, which showed less widespread impairment. This relationship has also been documented in the case of Down Syndrome [70]. Similarly, the absence of differences in ToM skills between the DS and DS + ASD groups may be influencing the results obtained in the BLOC. This test requires the use of these skills to successfully complete it, as participants need to put themselves in the position of another to respond as they should in a given social situation.

Finally, it is important to highlight that early diagnosis is necessary to implement an effective therapy tailored to the child’s needs at a critical time in development [71]. Appropriate early treatment can reduce children’s symptoms and improve their overall development and quality of life, allowing them to gain social skills and the ability to act better in social situations, in order to achieve more autonomy in later life [72]. It is for this reason that it must be taken into account that a precise and correct diagnosis in these populations will serve as a starting point to propose the most appropriate intervention possible.

Conclusions

Therefore, this research confirms significant differences between the clinical DS and ASD groups, as well as between the ASD and DS + ASD groups, in both the scores obtained in the SCQ and the BLOC, as well as in the ToM task. However, no differences were found between the DS and DS + ASD groups in any of the tests. Thus, our data suggest that there are no differences in the pragmatic performance of the DS + ASD population compared to the isolated presentation of ASD. Nevertheless, the lack of robust scientific evidence regarding comorbid diagnosis, coupled with the fact that the available studies suggest a clustering of more severe ASD symptomatology in the DS + ASD population, makes further investigation in this direction essential.

Data availability

All data from this study are available upon request to the corresponding author.

Abbreviations

ADOS-2:

Autism Diagnostic Observation Schedule– 2

ADI-R:

Autism Diagnostic Interview– Revised

ASD:

Autism Spectrum Disorder

BLOC S-R:

Block Objective and Criterial Language Battery

DS:

Down Syndrome

FXS:

Fragile X Syndrome

ID:

Intellectual Disability

IDD:

Intellectual Developmental Disorder

IQ:

Intellectual Quotient

SCQ:

Social Communication Questionnaire

ToM:

Theory of Mind

References

  1. Celis Alcaláa G, Ochoa Madrigal MG. Trastorno Del espectro autista (TEA). Revista De La Facultad De Medicina De La UNAM. 1 de enero de. 2022;65(1):7–7.

    Google Scholar 

  2. Daswani Daswan RP, Santamaría Ramiro M, Lago García B, Rodríguez Hernández PJ. Consideraciones actuales sobre el trastorno del espectro autista. Canarias Pediátrica, ISSN 1131–6128, Vol 43, No 1, 2019, pags 25–30 [Internet]. 2019; Disponible en: https://dialnet.unirioja.es/servlet/oaiart?codigo=7186931.

  3. Psychiatric Association A. author. DSM-5. Manual DiagnĂłstico y EstadĂ­stico de los Trastornos Mentales: DSM-5Âź [Internet]. 2014 [citado 3 de marzo de 2023]. Disponible en: http://www.medicapanamericana.com/VisorEbookV2/Ebook/9788491101727.

  4. Morales-Hidalgo P, Roige-Castellvi J, Hernandez-Martinez C, Voltas N, Canals J. Prevalence and Characteristics of Autism Spectrum Disorder Among Spanish School-Age Children. Journal of Autism and Developmental Disorders. 1 de septiembre de. 2018;48(9):3176-3176-90.

  5. INEbase, Sociedad. /Salud /Encuestas de discapacidades / Resultados [Internet]. 2020 [citado el 16 de marzo de 2023]; Disponible en: https://www.ine.es/dyngs/INEbase/es/operacion.htm?c=Estadistica_C&cid=1254736176782&menu=resultados&idp=1254735573175

  6. Stefan N, Hansen ET, Parner. Diana Schendel. Explaining the increase in the prevalence of autism spectrum disorders:the proportion attributable to changes in reporting practices. 1 de enero de 2015 [citado 10 de marzo de 2023]; Disponible en: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8d5870cad3e8a3d60fada75a0d88d332.

  7. Artigas-PallarĂ©s J, Gabau-Vila E, Guitart-FeliubadalĂł M. [Syndromic autism: I. General aspects]. Revista De neurologĂ­a 15 de enero de. 2005;40(Suppl 1):143–S143.

    Google Scholar 

  8. Balbuena F. Revista Chilena de Neuro-PsiquiatrĂ­a. EtiologĂ­a del autismo: el continuo idiopĂĄtico-sindrĂłmico como tentatitva explicativa. 1 de enero de 2015 [citado 5 de marzo de 2023]; Disponible en: https://explore.openaire.eu/search/publication?articleId=od______2736::a931cf6eef40dea0bc78a53e1aabdfc5.

  9. Artigas-PallarĂ©s J, Gabau-Vila E, Guitart-FeliubadalĂł M. [Syndromic autism: II. Genetic syndromes associated with autism]. Revista De neurologĂ­a 15 de enero de. 2005;40(Suppl 1):151–S151.

    Google Scholar 

  10. Carter JC, Capone GT, Gray RM, Cox CS, Kaufmann WE. Autistic-spectrum disorders in down syndrome: further delineation and distinction from other behavioral abnormalities. Am J Med Genet Part B: Neuropsychiatric Genet. 2007;144B(1):87–94.

    Article  Google Scholar 

  11. Stylianos E, Antonarakis BG, Skotko MS, Rafii A, Strydom SE, Pape DW, Bianchi et al. Down syndrome. Nature Reviews Disease Primers [Internet]. 1 de enero de 2020 [citado 5 de marzo de 2023];6. Disponible en: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e639f6d37952d0e80b73821ec9cb8be6.

  12. Blythe G, Crissman G, Worley N, Roizen PS. Kishnani. Current perspectives on Down syndrome: Selected medical and social issues. American Journal of Medical Genetics Part C: Seminars in Medical Genetics. 1 de enero de 2006;127-127-30.

  13. HĂŒls A, Costa ACS, Dierssen M, Baksh RA, Bargagna S, Baumer NT et al. Medical vulnerability of individuals with Down syndrome to severe COVID-19–data from the Trisomy 21 Research Society and the UK ISARIC4C survey. EClinicalMedicine [Internet]. 1 de marzo de 2021 [citado 7 de marzo de 2023];33. Disponible en: https://search.ebscohost.com/login.aspx?direct=true&db=edselp&AN=S2589537021000493&site=eds-live.

  14. Leonard H, Wen X. The epidemiology of mental retardation: challenges and opportunities in the new millennium. Mental Retard Dev Disabil Res Reviews 1 de agosto de. 2002;8(3):117–7.

    Article  Google Scholar 

  15. Akhtar F, Bokhari SRA. StatPearls. 1 de enero de 2022 [citado 5 de marzo de 2023]; Disponible en: https://search.ebscohost.com/login.aspx?direct=true&db=mdc&AN=30252272&site=eds-live

  16. Patterson D. Molecular genetic analysis of Down syndrome. Hum Genet 1 de Julio De. 2009;126(1):195–5.

    Article  CAS  Google Scholar 

  17. Sommer CA, Henrique-Silva F. Trisomy 21 and Down syndrome-a short review/Trissomia do 21 e Sindrome De Down: uma breve revisao. Brazilian J Biology 1 de mayo de. 2008;68(2):447–7.

    Article  CAS  Google Scholar 

  18. Larrosa CM. Gonzålez Rodríguez N. Aceptación social de niños con Síndrome de Down integrados en escuelas comunes. 2019.

  19. Luckasson R, Borthwick-Duffy S, Buntinx WHE, Coulter DL, Craig EM, Reeve A et al. Mental Retardation: Definition, Classification, and Systems of Supports. 10th Edition. [Internet]. 2002 [citado 5 de marzo de 2023]. Disponible en: https://search.ebscohost.com/login.aspx?direct=true&db=eric&AN=ED468327&site=eds-live.

  20. Daunhauer L, International Review of Research in Developmental Disabilities. Chapter Five - The Early Development of Adaptive Behavior and Functional Performance in Young Children with Down Syndrome: Current Knowledge and Future Directions [Internet]. Vol. 40,. 2011 [citado 13 de marzo de 2023]. 109 p. Disponible en: https://search.ebscohost.com/login.aspx?direct=true&db=edselp&AN=B9780123744784000058&site=eds-live.

  21. Moraleda-SepĂșlveda E, LĂłpez-Resa P. Morphological Difficulties in People with Developmental Language Disorder. Children. 1 de enero de 2022;9(125):125-125-125.

  22. Siklos S, Kerns KA. Assessing need for Social Support in parents of children with Autism and Down Syndrome. J Autism Dev Disorders 1 de diciembre de. 2006;36(7):921–1.

    Article  Google Scholar 

  23. Wester Oxelgren U, Aberg M, Myrelid A, Anneren G, Westerlund J, Gustafsson J, et al. Autism needs to be considered in children with Down Syndrome. Acta Paediatr 1 de noviembre de. 2019;108(11):2019–9.

    Article  Google Scholar 

  24. Lord C, Rutter M, DiLavore P, Risi S, Gotham K, Bishop S. Autism Diagnostic Observation Schedule, Second Edition (ADOS-2) Manual (Part I). Modules. Torrance, CA: West. Psychol. Serv. 2012, 32, 88–92.

  25. Rutter M, Le Couteur A, Lord C. Autism diagnostic interview revised (ADI-R). Los Angeles: Western Psychological Services; 2003.

    Google Scholar 

  26. Oliver C, Richards C, Moss J, Nelson L. Prevalence of autism spectrum disorder symptomatology and related behavioural characteristics in individuals with Down syndrome. Autism 15 de mayo de. 2012;17:390–0.

    Google Scholar 

  27. Marlborough M, Welham A, Jones C, Reckless S, Moss J. Autism spectrum disorder in females with fragile X syndrome: a systematic review and meta-analysis of prevalence. J Neurodevelopmental Disorders 1 De Julio De. 2021;13(1):1–1.

    Google Scholar 

  28. Thurm A, Farmer C, Salzman E, Lord C, Bishop S. State of the Field: Differentiating Intellectual Disability From Autism Spectrum Disorder. Frontiers in Psychiatry [Internet]. 1 de julio de 2019 [citado 21 de abril de 2023];10. Disponible en: https://doaj.org/article/1a971e4b4fe743d49fb3464abc66d532.

  29. Bradbury KR, Anderberg EI, Huang-Storms L, Vasile I, Greene RK, Duvall SW. Co-occurring Down Syndrome and Autism Spectrum Disorder: cognitive, adaptive, and behavioral characteristics. J Autism Dev Disorders 1 De marzo de. 2022;52(3):1235–5.

    Article  Google Scholar 

  30. Channell MM, The Down Syndrome Cognition Project, Hahn LJ, Rosser TC, Hamilton D, Frank-Crawford MA, et al. Characteristics Associated with Autism Spectrum Disorder Risk in individuals with Down Syndrome. J Autism Dev Disord. 2019;49(9):3543–56.

    Article  PubMed  Google Scholar 

  31. Capone GT, Grados MA, Kaufmann WE, Bernad-Ripoll S, Jewell A. Down syndrome and comorbid autism-spectrum disorder: characterization using the aberrant behavior checklist. Am J Med Genet Part A. 2005;134A(4):373–80.

    Article  Google Scholar 

  32. Hepburn S, Eric J. Moody. Diagnosing Autism in Individuals with Known Genetic Syndromes: Clinical Considerations and Implications for Intervention. 1 de enero de 2011 [citado 4 de abril de 2023]; Disponible en: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5b4898507bd77fc438fe331c69db0c7b.

  33. Ji NY, Capone GT, Kaufmann WE. Autism spectrum disorder in Down syndrome: cluster analysis of aberrant Behaviour Checklist data supports diagnosis. J Intellect Disabil Res 1 de noviembre de. 2011;55(11):1064–4.

    Article  CAS  Google Scholar 

  34. Moss J, Howlin P. Autism spectrum disorders in genetic syndromes: implications for diagnosis, intervention and understanding the wider autism spectrum disorder population. J Intellect Disabil Res 1 de octubre de. 2009;53(10):852–2.

    Article  CAS  Google Scholar 

  35. Hamner T, Hepburn S, Zhang F, Fidler D, Robinson Rosenberg C, Robins DL, et al. Cognitive profiles and autism symptoms in Comorbid Down Syndrome and Autism Spectrum Disorder. J Dev Behav Pediatrics: JDBP 1 de Abril De. 2020;41(3):172–2.

    Article  Google Scholar 

  36. Magyar CI, Pandolfi V, Dill CA. An initial evaluation of the social communication questionnaire for the assessment of autism spectrum disorders in children with Down syndrome [Internet]. Vol. 33. 2012 [citado 23 de abril de 2023]. 134 p. Disponible en: https://search.ebscohost.com/login.aspx?direct=true&db=edsgao&AN=edsgcl.289973911&site=eds-live.

  37. Capone GT. Down syndrome and autistic spectrum disorder: a look at what we know. Disabil Solut. 3(5–6), 8–15.

  38. Reilly C. Autism spectrum disorders in Down syndrome: a review. Res Autism Spectr Disorders 1 de octubre de. 2009;3:829–9.

    Article  Google Scholar 

  39. Stone WL, Lee EB. Can Autism be diagnosed accurately in children under 3 years? J Child Psychol Psychiatry Allied Disciplines 1 de febrero de. 1999;40(2):219–9.

    Article  CAS  Google Scholar 

  40. Kalb LG, Law JK, Landa R, Law PA. Onset patterns prior to 36 months in Autism Spectrum disorders. J Autism Dev Disorders 1 de noviembre de. 2010;40(11):1389–9.

    Article  Google Scholar 

  41. Ozonoff S, Iosif AM. Changing conceptualizations of regression: what prospective studies reveal about the onset of autism spectrum disorder. Neurosci Biobehavioral Reviews 1 de mayo de. 2019;100:296–6.

    Article  Google Scholar 

  42. Hahn LJ, Hamrick LM, Kelleher BL, Roberts JE. Autism Spectrum Disorder-Associated Behaviour in infants with Down Syndrome. J Health Sci Educ. 2020;4(2):180.

    PubMed  PubMed Central  Google Scholar 

  43. Hepburn S, Philofsky A, Fidler DJ, Rogers S. Autism symptoms in toddlers with Down syndrome: a descriptive study. J Appl Res Intellect Disabil 1 de enero de. 2008;21(1):48–8.

    Article  Google Scholar 

  44. Donald P, Oswald, Thomas H, Ollendick. Role taking and social competence in autism and mental retardation. J Autism Dev Disorders 1 De marzo de. 1989;19:119–9.

    Article  Google Scholar 

  45. Rodrigue JR, Others. A comparative evaluation of adaptive behavior in children and adolescents with Autism, Down Syndrome, and Normal Development. J Autism Dev Disorders 1 de junio de. 1991;21(2):187–7.

    Article  CAS  Google Scholar 

  46. Kraijer D. Review of adaptive behavior studies in mentally retarded persons with Autism/Pervasive developmental disorder. J Autism Dev Disorders 1 de febrero de. 2000;30(1):39–9.

    Article  CAS  Google Scholar 

  47. Castillo H, Patterson B, Hickey F, Kinsman A, Howard JM, Mitchell T et al. Difference in age at regression in children with autism with and without Down syndrome [Internet]. Vol. 29. 2008 [citado 18 de marzo de 2023]. 89 p. Disponible en: https://search.ebscohost.com/login.aspx?direct=true&db=edsgao&AN=edsgcl.178731200&site=eds-live.

  48. Molloy CA, Murray DS, Kinsman A, Castillo H, Mitchell T, Hickey FJ, et al. Differences in the clinical presentation of Trisomy 21 with and without autism. J Intellect Disabil Res 1 de febrero de. 2009;53(2):143–3.

    Article  CAS  Google Scholar 

  49. Versaci TM, Mattie LJ, Imming LJ. Down Syndrome and Autism Spectrum Disorder Dual diagnosis: important considerations for Speech-Language pathologists. Am J Speech-Language Pathol 1 de febrero de. 2021;30(1):34–4.

    Article  Google Scholar 

  50. Korkman M, Kirk U, Kemp SL. NEPSY-II. 2014;1malet–n.

  51. Rutter M, Anthony B, Catherine L. Bailey Anthony, Lord Catherine. Cuestionario De comunicaciĂłn social (SCQ). Madrid: TEA; 2005.

    Google Scholar 

  52. Puyuelo Sanclemente M. Bloc screening-R: evaluación del lenguaje. Nueva ed. rev. y amp. 2007;120 p.; 24 cm + cuaderno de imágenes, cuaderno de registro, Cd-rom con el programa BLOC-Info, manual de usuario, libro para aplicación a poblaciones con necesidades educativas específicas.

  53. Cook A, Quinn ED, Rowland C. Exploring expressive communication skills in a cross-sectional sample of individuals with a dual diagnosis of Autism Spectrum Disorder and Down Syndrome. Am J Intellect Dev Disabil 1 de marzo de. 2021;126(2):97–7.

    Google Scholar 

  54. Moss J, Richards C, Nelson L, Oliver C. Prevalence of Autism Spectrum Disorder Symptomatology and Related Behavioural Characteristics in Individuals with Down Syndrome [Internet]. 2013 jul [citado 17 de mayo de 2023] p. 390–0. Disponible en: https://search.ebscohost.com/login.aspx?direct=true&db=eric&AN=EJ1015039&site=eds-live

  55. Channell MM, Phillips BA, Loveall SJ, Conners FA, Bussanich PM, Klinger LG. Patterns of autism spectrum symptomatology in individuals with Down syndrome without comorbid autism spectrum disorder. J Neurodevelopmental Disorders. 2015;7(1).

  56. Dressler A, Perelli V, Bozza M, Bargagna S. The autistic phenotype in Down syndrome: differences in adaptive behaviour versus down syndrome alone and autistic disorder alone. Funct Neurol 1 de Julio De. 2011;26(3):151–1.

    Google Scholar 

  57. Sparrow SS, Balla DA, Cicchetti DV. Vineland Adaptive Behavior scales VABS: expanded form Manual. American Guidance Service; 1984.

  58. The childhood autism rating scale (CARS). Los Angeles: WPS; 2010.

  59. Warner G, Howlin P, Salomone E, Moss J, Charman T. Profiles of children with Down syndrome who meet screening criteria for autism spectrum disorder (ASD): a comparison with children diagnosed with ASD attending specialist schools. J Intellect Disabil Res 1 de enero de. 2017;61(1):75–5.

    Article  CAS  Google Scholar 

  60. Mason-Apps E, Stojanovik V, Houston-Price C, Seager E, Buckley S. Do infants with Down Syndrome show an early receptive Language advantage? J Speech Lang Hear Res 1 de febrero de. 2020;63(2):585–5.

    Article  Google Scholar 

  61. Martin GE, Bush L, Klusek J, Patel S, Losh M. A Multimethod Analysis of Pragmatic Skills in Children and Adolescents With Fragile X Syndrome, Autism Spectrum Disorder, and Down Syndrome. Journal of Speech, Language & Hearing Research. 1 de diciembre de. 2018;61(12):3023-3023-37.

  62. Binns AV, Cardy JO. Developmental social pragmatic interventions for preschoolers with autism spectrum disorder: A systematic review. Autism & Developmental Language Impairments [Internet]. 1 de enero de 2019 [citado 12 de mayo de 2023];4. Disponible en: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::881ca582e8c9c9fc55bb1fdc07fa5bdf.

  63. Godfrey M, Hepburn S, Fidler DJ, Tapera T, Zhang F, Rosenberg CR, et al. Autism spectrum disorder (ASD) symptom profiles of children with comorbid Down syndrome (DS) and ASD: a comparison with children with DS-only and ASD-only. Res Dev Disabil 1 de junio de. 2019;89:83–3.

    Article  Google Scholar 

  64. Gibbs MV, Thorpe JG. Personality stereotype of noninstitutionalized Down syndrome children. Am J Mental Defic 1 de mayo de. 1983;87:601–1.

    CAS  Google Scholar 

  65. Ferrario I. Do parent-mediated interventions improve communication and language development in children with Down syndrome? - a Cochrane Review summary with commentary. Dev Neurorehabilitation 1 de octubre de. 2020;23(7):482–2.

    Article  Google Scholar 

  66. Adamson LB, Bakeman R, Deckner DF, Romski M. Joint engagement and the emergence of language in children with autism and Down syndrome. J Autism Dev Disorders 1 de enero de. 2009;39(1):84–4.

    Article  Google Scholar 

  67. Yirmiya N, Solomonica-Levi D, Shulman C, Pilowsky T. Theory of mind abilities in individuals with autism, Down syndrome, and mental retardation of unknown etiology: the role of age and intelligence. J Child Psychol Psychiatry Allied Disciplines 1 de noviembre de. 1996;37(8):1003–3.

    Article  CAS  Google Scholar 

  68. Orsmond GI, Seltzer MM. Siblings of individuals with autism or down syndrome: effects on adult lives. J Intellect Disabil Res 1 de Septiembre De. 2007;51(9):682–2.

    Article  CAS  Google Scholar 

  69. Rosello B, Berenguer C, Baixauli I, GarcĂ­a R, Miranda A. Theory of mind profiles in children with autism spectrum disorder: Adaptive/social skills and pragmatic competence. Front Psychol 17 de Septiembre De. 2020;11:567401.

    Article  Google Scholar 

  70. Lee M, Bush L, Martin GE, Barstein J, Maltman N, Klusek J, Losh M. A multi-method investigation of pragmatic development in individuals with Down syndrome. Am J Intellect Dev Disabil. 2017;122(4):289–309.

    Article  PubMed  PubMed Central  Google Scholar 

  71. Boccaccio FM, Platania GA, Guerrera CS, Varrasi S, Privitera CR, Caponnetto P, Pirrone C, Castellano S. Autism spectrum disorder: recommended psychodiagnostic tools for early diagnosis. Health Psychol Res. 2023;11:77357.

    Article  PubMed  PubMed Central  Google Scholar 

  72. Elder JH, Kreider CM, Brasher SN, Ansell M. Clinical impact of early diagnosis of autism on the prognosis and parent-child relationships. Psychol Res Behav Manage. 2017;10:283–92. https://doi.org/10.2147/prbm.s117499.

    Article  Google Scholar 

Download references

Funding

This research received no external funding.

Author information

Authors and Affiliations

Authors

Contributions

Conceptualization, E.M.-S. and P.L.-R.; methodology, S.C.E. and P.L.-R.; software, E.M.-S. and P.L.-R.; validation, E.M.-S. and P.L.-R.; formal analysis, E.M.-S. and S.C.E.; investigation, S.C.E and P.L.-R.; writing—original draft preparation, S.C.E and P.L.-R.; writing—review and editing, E.M.-S. and P.L.-R.; supervision, E.M.-S. and P.L.-R. All authors have read and agreed to the published version of the manuscript.

Corresponding author

Correspondence to Esther Moraleda SepĂșlveda.

Ethics declarations

Institutional review board statement

The study was conducted according to the guidelines of the Declaration of Helsinki. This study was approved by the Ethics Committee for Social Research at University of Castilla-La Mancha with reference CEIS-704511-L8M4.

Informed consent

Informed consent was obtained from all subjects involved in the study. If participants are under 16, from a parent and/or legal guardian.

Consent for publication

Not applicable.

Competing interests

The authors declare no competing interests.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Escudero, S.C., SepĂșlveda, E. Pragmatic competence in people with dual diagnosis: down syndrome and autism spectrum disorder. BMC Psychol 12, 74 (2024). https://doi.org/10.1186/s40359-023-01508-5

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s40359-023-01508-5

Keywords