Developmental dyslexia is one of the most common neurobehavioral disorders affecting children, but prevalence data on this condition are poor. The objective of the present study is to determine the prevalence of dyslexia in Italy in an unselected school population, using clearly defined diagnostic criteria and methods.
Cross-sectional study carried out in nine Italian Regions: two located in Northern Italy (Friuli Venezia Giulia and Veneto), three in Central Italy (Marche, Lazio and Umbria) and four in Southern Italy (Abruzzo, Molise, Puglia and Sardegna). Three consecutive levels of screening were carried out: the first two at school, to screen the population and identify children with suspect dyslexia; the last in centers with multi-professional staff specialized in learning disabilities to confirm the diagnosis. The key outcome measure is the prevalence of dyslexia, defined as the ratio between the number of children confirmed positive at the third level of screening and the total number of children enrolled in the study.
We finally recruited 11094 children aged 8–10 years, of which 9964 constituted the final working sample after applying exclusion criteria and including only children who received parents’ consent to participate. The prevalence of dyslexia in the whole sample was 3.5% (95% CI 3.2–3.9%), with little differences between Northern, Central and Southern Italy (respectively 3.6%, 3.2% and 3.7%). In almost two out of three children with dyslexia the disorder had not been previously diagnosed.
This study confirms that in primary school children at the age of 8–10 years in Italy dyslexia is widely underestimated. Reliable data on dyslexia prevalence are needed to allocate necessary human and financial resources both to Health Services and Schools, ensuring timely support to children and families.
Citation: Barbiero C, Montico M, Lonciari I, Monasta L, Penge R, Vio C, et al. (2019) The lost children: The underdiagnosis of dyslexia in Italy. A cross-sectional national study. PLoS ONE 14(1): e0210448. https://doi.org/10.1371/journal.pone.0210448
Editor: Chung-Ying Lin, Hong Kong Polytechnic University, HONG KONG
Received: March 6, 2018; Accepted: December 21, 2018; Published: January 23, 2019
Copyright: © 2019 Barbiero et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Data Availability: Data from this study were gathered from nine Italian Regions and, in each Region, by different Centers and Associations. Data however can be made available to all interested researchers upon specific requests by the corresponding author (dr. Luca Ronfani, Clinical Epidemiology and Public Health Research Unit, IRCCS Burlo Garofolo; firstname.lastname@example.org), who will seek permission from each Center and Association involved; or, alternatively, an interested researcher may contact each of the Centers and Associations to request data themselves. The contact information for each Center and Association is within the Supporting Information files.
Funding: The study in the Friuli Venezia Giulia Region received a grant by the Regional Health Agency of Friuli Venezia Giulia Region Resolution n° 42, April 4, 2008 and by internal research funds of the Institute for Maternal and Child Health, IRCCS “Burlo Garofolo” Research Project 63/07. Furthermore, the study received a donation from the heirs of Mrs. Iole Vicinanza that allowed us to cover the cost of local supervision in the areas involved. The study in the Marche and Veneto Regions received a grant from the Associazione Italiana per la Ricerca e l'Intervento nella Psicopatologia dell'Apprendimento (AIRIPA). The Italian Dyslexia Association (Associazione Italiana Dislessia-AID) Foggia received a grant by the Foundation “Banca del Monte” to carry out the study in the Puglia Region. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Competing interests: The authors have declared that no competing interests exist.
Developmental dyslexia is among the most common neurobehavioral disorders affecting children. Prevalence data on this condition are poor and often dated. Studies conducted in English-speaking countries show a wide range of prevalence (from 5 to 17.5%), [1–3] mainly due to different methods, tests and definitions adopted for the diagnosis, the type of disability assessed (i.e., dyslexia vs. learning disabilities), and the different ages considered. [4–8] Italy is also affected by this variability with a limited number of studies showing a prevalence ranging from 1.3% to 8.5%. [9–19]
To overcome this situation, in 2008 a group of associations and institutions dealing with dyslexic children in Italy (see Annex) established a National Committee (CENDi) to define methods, instruments and diagnostic criteria to be used in research to accurately ascertain the prevalence of dyslexia. In particular, to confirm the diagnosis, a detailed and unequivocal diagnostic algorithm, combining different tests and cut-offs, was developed and tested in an Italian region (Friuli Venezia Giulia).  This study showed that the tools and the methodology defined by the CENDi could be effectively applied to estimate the prevalence of dyslexia. Furthermore, the study showed, in an unselected grade four school population, a large underestimation of dyslexia: prior to the study, out of 1365 children screened, 13 (1%) had a formal diagnosis of dyslexia; at the end of the study, the prevalence of dyslexia rose to 3.1–3.2%. Therefore, dyslexia had not been diagnosed in two out of three children aged 8–10 years. At this age, the disorder is clearly expressed and can thus be identified unequivocally. The non-recognition of two-thirds of the cases of dyslexia has relevant negative consequences at both the clinical and pedagogical levels, translating into insufficient resources for diagnosis, rehabilitation and education.
Given the relevance of these results, for both the importance of early diagnosis and a better allocation of resources to Health Services and Schools, the CENDi decided to extend the study to the national level.
Material and methods
A cross-sectional study was carried out between 2008 and 2013 in nine Italian Regions: two located in Northern Italy (Friuli Venezia Giulia and Veneto), three in Central Italy (Marche, Lazio and Umbria) and four in Southern Italy (Abruzzo, Molise, Puglia and Sardegna). At the national level, Centers and Associations expressed their interest in participating in the study. Thus the study was conducted in selected areas of their reference Regions. In each Region a coordinator was identified from the participating Centers and Association. Furthermore, local supervision was ensured by the psychologist (Chiara Barbiero) who coordinated the pilot study in Friuli Venezia Giulia. The study methodology has been extensively described elsewhere.  Briefly, the sample consisted of children aged 8–10 years attending the 4th year of the Italian primary school. Children were excluded if: 1) certified with mental retardation by local health authorities according to Italian Law n° 104/92 (framework law on disabled persons);  2) not of Italian nationality; 3) had been absent from school for more than two months since 1st grade.
Starting at the beginning of the school year, three consecutive levels of assessment were carried out to reach a diagnosis of dyslexia.
The first level was carried out at school by specifically trained psychologists, and adopted the following tools:
- - A short anamnestic questionnaire to be filled in by parents, with questions concerning the child and his/her family (age, language spoken at home, health status of the child, handicap certification and previous diagnosis of Learning Disability, parental formal education level and working status).
- - A questionnaire derived from the validated questionnaire “RSR-DSA. Questionario per la rilevazione di difficoltà e disturbi dell’apprendimento”,  to detect Learning Disabilities (LD), filled in for each child by the classroom teacher.
- - A 4th-grade dictation task, derived from the “BVSCO–Battery for the assessment of writing skills in children from 7 to 13 years old”. 
Children who scored positive on the teachers’ questionnaire and/or in the dictation task, and who did not fall under the exclusion criteria, moved to the second level. To ensure all children with reading difficulties were identified, teachers were further asked to indicate 1) children who read more slowly than classmates and 2) children who made more reading errors than classmates. All children falling under one of these two criteria were also selected for second level testing. Furthermore, to avoid discrimination from peers, in classes in which children with reading difficulties had been identified, classmates not falling under the selection criteria were also randomly selected for the evaluation at the 2nd level.
The 2nd level evaluation, aiming at the identification of children with reading difficulties and adequate cognitive ability through individual tests, was conducted at school by the same trained psychologists involved in the 1st level evaluation. For individual testing, the following tools were used:
- - word and non-word reading tasks deriving from the DDE-2 Battery (Battery for the assessment of Developmental Dyslexia and Dysorthographia-2),  to assess reading speed and accuracy.
- - Vocabulary and Block Design subtests of the WISC-III (Wechsler Intelligence Scale for Children) [25,26] to appraise the cognitive ability of the child.
Children with adequate subtest scores at the WISC-III and poor reading tasks performance were thus selected for the 3rd level of screening.
The 3rd level evaluation aimed to confirm the diagnosis of dyslexia and was carried out in each area at centers with multi-professional staff specialized in the diagnosis of learning disabilities. All children were assessed as follows:
- a) Detailed questionnaire filled in by parents and discussed with a psychologist during an interview. This tool allowed to collect information on the development of the child (gait, autonomy, speech, etc.), kindergarten and primary school attendance (social and communication skills, learning disabilities, etc.), clinically significant events occurred during childhood (i.e., illnesses, injuries), and information regarding the formal education of close relatives (school performance, learning difficulties, etc.).
- b) A test to evaluate the cognitive performance (Raven's Progressive Matrices PM47 or Wechsler Intelligence Scale for Children– 3rd Ed.). [25–28]
- c) MT battery (Prove di lettura MT per la scuola elementare-2) to evaluate text reading speed and accuracy. [29,30]
- d) DDE-2 (Battery for the evaluation of Dyslexia and dysorthography-2) to evaluate word and non-word reading speed and accuracy (tasks 2 and 3), and spelling accuracy (tasks 6 and 7). 
- e) Strengths and Difficulties Questionnaire (SDQ) administered to parents to evaluate the mental health status of their child. 
The criteria adopted to guide the diagnosis of dyslexia by combining the results of these tests is comprehensively described in our previous paper (see also S1 Fig and S1 Table).  The study was approved by the Independent Bioethics Committee of the Institute of Maternal and Child Health, IRCCS “Burlo Garofolo”, Trieste, Italy. Before children’s enrollment, an informed consent form was signed by parents.
The sample size was calculated to obtain an accurate estimate of dyslexia prevalence in the three Italian macroregions (Northern, Central and Southern Italy). The total population of children attending 4th grade in Northern, Central and Southern Italy was estimated to be 250.000, 100.000 and 200.000, respectively. Given these data, and under the hypothesis of a 4% prevalence of dyslexia, ranging from 3 to 5%, with a precision of 5% and a power of 80%, a sample size of 1500 children per area was calculated. We decided to enroll an extra 15% to compensate for possible dropouts. A cluster randomization of schools was carried out only in Friuli Venezia Giulia Region. In the others Regions, schools were mainly selected in the reference territory of the participating Centers and Associations. School participation was voluntary.
Continuous data were presented as means and standard deviations, while categorical data as frequencies and percentages.
Prevalence of dyslexia was defined as the number of children positive to the third level of screening (numerator) divided by the total number of children analyzed at the first level.
To estimate the diagnoses of dyslexia in children lost to the third level of follow up, we adopted a multinomial logistic regression analysis, applying the prediction model developed for the Friuli Venezia Giulia Region.  Based on this model, these subjects were classified as with or without dyslexia and included in the calculation of the total prevalence.
To evaluate if the enrolled population was representative of the population of the whole participating Regions and, possibly, of the three Italian Macroregions, a comparison between the before study prevalence of dyslexia in children analyzed at the first level and the prevalence estimated by administrative school data (certification of dyslexia known to the school) was made. Administrative data were provided by the Statistical Office of the Italian Ministry of Education, Universities and Research (MIUR) for the school year 2013/14.  Unfortunately, only pooled data with all the five years of the primary school were available. Since it is possible to formalize the diagnosis of dyslexia only from the end of the second year of primary school, and consequently to certificate it to the school, to avoid a possible underestimation, the prevalence of dyslexia was calculated using the number of children attending the last three years of primary school as the denominator.
A total of 712 grade four classes were enrolled. Overall, 11094 pupils were contacted, and 9964 were analyzed at first level, after exclusion of children without parental consent or absent from school (n = 520), with mental retardation (n = 111) and without Italian nationality (n = 499) (Fig 1).
Two thousand six hundred and forty-nine children were from Northern Italy, 3518 from Central Italy and 3797 from Southern Italy.
First level evaluation
Characteristics of children evaluated at the first level are presented in Table 1.
The study group is representative of the national population in terms of educational level of the parents (68.5% vs 65.0% Upper Secondary or Degree education in mothers; 61.0% vs 60.0% Upper Secondary or Degree education in fathers) (www.istat.it).
One hundred and twenty-six out of the 9964 children (1.3%) had already received a formal diagnosis of dyslexia.
Two thousand two hundred and ninety-four children scored positive in at least one of the two tests (dictation or teachers’ questionnaire) or were identified by the additional questions addressed to the teachers (n = 215).
Second level evaluation
Overall, 2798 children were selected for the second level assessment (2294 selected at the first level of screening and 504 randomly selected among children with adequate performance). Unfortunately, 248 children were lost to follow up (of which 16 with a previous diagnosis of dyslexia), and consequently, 2550 children were seen at the second level. Seven hundred and forty-four scored positive in the tests and were selected for the third level of screening.
Third level evaluation
Three hundred and fifty-three out of 744 children underwent further testing to confirm the diagnosis. Twenty presented cognitive delay (n = 19) and social disadvantage (n = 1) and were consequently excluded; 189 were diagnosed with dyslexia; 144 were classified as not having dyslexia. Among 391 subjects lost to follow up at the third level evaluation, 32 had a previous diagnosis of dyslexia. For the 359 remaining subjects, the logistic model built for the prediction of dyslexia classified as dyslexics further 113 children.
The prevalence of dyslexia was 3.5% (350/9964) (95% CI 3.2–3.9), counting children who fell under the diagnostic criteria (n = 189), children lost to follow up at the 2nd and 3rd level but with a previous diagnosis of dyslexia (n = 48), and children estimated to have dyslexia with the logistic model (n = 113).
The main characteristics of the children with and without dyslexia are reported in S2 Table.
Tables 2 and 3 show the data stratified by the three Italian macroregions before and after the study and the comparison with administrative data provided by the Italian Ministry of University and Research (MIUR). 
These data underline that: 1) in the participating Regions the prevalence of dyslexia before the study was similar to that estimated using school administrative data both from the same Regions and from the three Italian macroregions; 2) the prevalence of dyslexia in primary school children is widely underestimated, particularly in the Regions of Southern Italy. Overall, only 1 out of 3 dyslexic children is diagnosed at the age of 8–10 years, and this value rises to almost 5 in Southern Italy Regions (Table 2).
By using rigorous diagnostic criteria and methods, this study extended to the national level the estimate of the prevalence of dyslexia calculated on an unselected school population of a single Italian Region. The results of the pilot study conducted in the Friuli Venezia Giulia Region  have been fully confirmed in the new areas involved: dyslexia is not recognized in almost two out of three children at the age of 8–10 years, when the disorder should be clearly expressed and identified. Before the study, 126 out of 9964 children screened had a formal diagnosis of dyslexia, with a prevalence of 1.3%. At the end of the study the prevalence rose to 3.5%. Interestingly, while administrative school data show a north-south gradient in dyslexia prevalence (Tables 2 and 3), with a higher prevalence in Northern Italy, our study shows a similar prevalence in the three Italian macroregions. This means that the level of underestimation of dyslexia is worse in Southern Italy. The consequence of the non-recognition of two-thirds (or more) of the cases of dyslexia is the lack of adequate and timely intervention, leading to internalizing (anxiety and depressive) behaviors, [32–38] suicidal ideation, school failure and drop out. [39,40] Children with specific learning disabilities experience feelings of failure within the school education system, in particular if their problem is not recognized and adequate support is not provided;  they can experience poor emotional well being and self-esteem, and a high level of dissatisfaction in their relationships with family and friends.  Children with specific learning disabilities are often subject to stigmatization by families, teachers and peers, which can lead to increased self-stigma and reduced motivation to learn. [43,44] Evidence shows that, in children with learning disorders, early diagnosis when associated to appropriately designed interventions, substantially improves self-confidence and social competency, providing better opportunities at school and at work, and consequently improving the quality of life.  A timely diagnosis of dyslexia is needed, as also addressed by the Italian law 170/2010, to guarantee the right to education and ensure equal opportunities for capacity building in the social and professional sphere. [45, 46]
As discussed in our previous paper,  it is difficult to compare the prevalence obtained in the present study with those previously reported for Italy, given the differences in methods, definitions and diagnostic criteria adopted. [9–17]
Given the lack of adequate ad hoc funding, this study was only possible through the voluntary participation of researchers and structures. For this reason, we could not guarantee the complete coverage of the national or regional territory nor carry out a cluster randomization, exposing the study to the risk of selection bias. This is the main study limitation. The comparison with the school administrative data described in Table 2 suggests that the risk of selection bias is very limited for the participating Regions, except for Southern Italy. However, we had expected a positive selection bias, i.e., a higher prevalence of dyslexia in the participating areas given the possible participation in the study of more motivated schools and health professionals. This risk seems not to be present. Table 3 shows that the prevalence of dyslexia at the start of the study in the covered areas is similar to that estimated for the whole macroregions from school administrative data. Another limitation, extensively discussed in our previous paper, is that it was not possible to administer individual reading tests to all children at the 1st level, given the large size of the sample.
The study presents several strengths: the detailed and unequivocal validated diagnostic algorithm, combining different tests and cut-offs, used to confirm the diagnosis; the large sample size; the rigorous application of screening tools by specifically trained staff; the confirmation of the diagnosis performed in centres with multi-professional staff specialized in the diagnosis of learning disabilities to avoid bias in the diagnostic process; the involvement in this process of both child neuropsychiatrists and psychologists.
This study confirms that in primary school children in Italy dyslexia is widely underestimated: at the age of 8–10 years, in two out of three children, dyslexia had not been previously diagnosed. Reliable data on dyslexia prevalence are necessary to adequately allocate human and financial resources both to Health Services and Schools.
S1 Table. Definition of poor performance in reading tasks at the third level evaluation.
S2 Table. Main characteristics of the selected population by group (dyslexic vs non-dyslexic children).
We are deeply grateful to the heirs of Mrs. Iole Vicinanza for their donation that allowed us to cover the cost of local supervision by an expert psychologist and consequently guarantee the good quality of the research process.
The EpiDIt (Epidemiology of Dyslexia in Italy) working group: Rosaria Aiello (Abruzzo), Paola Andreuzzi (Lazio), Valeria Ansuini (Umbria), Stefania Ardu (Sardegna), Daniela Arnesano (Puglia), Marina Arrivas (Abruzzo), Federica Aventaggiato (Puglia), Manuela Baciarelli (Umbria), Maria Teresa Barberini (Umbria), Anna Bigoni (Friuli Venezia Giulia), Lavinia Bruni (Umbria), Laura Carloni (Umbria), Sandro Ciufici (Abruzzo), Alessandra Corrias (Sardegna), Carmina D'Amato (Puglia), Maria Vittoria Delogu (Sardegna), Irene Di Campli (Abruzzo), Maria Rosaria Di Girolamo (Abruzzo), Sergio Di Sano (Abruzzo), Giulia Dosso (Veneto), Giuseppina Epifanio (Molise), Giuseppina Falciglia (Molise), Graziella Fancello (Lazio), Giulia Fascetti (Veneto), Sonia Fazioli (Lazio), Valentina Ferluga (Friuli Venezia Giulia), Anna Vittoria Filauri (Abruzzo), Raffaella Fornaseri (Veneto), Tommaso Gambella (Marche), Elena Gennaro (Abruzzo), Francesca Gentile (Abruzzo), Emanuela Gialluca (Abruzzo), Marzia Selene Ghilardi (Umbria), Elisa Lauri (Lazio), Maria Pia Legge (Abruzzo), Franca Leonio (Abruzzo), Michela Lopez (Puglia), Silvia Manca (Sardegna), Lucia Mancini (Umbria), Enrica Mariani (Lazio), Sara Mirone (Veneto), Anna Mocci (Sardegna), Mara Monasterio (Abruzzo), Maria Angelica Mura (Sardegna), Grazia Nonne (Sardegna), Teresa Oneddu (Sardegna), Karol Pagini (Sardegna), Dominga Palladino (Puglia), Manuela Pieretti (Lazio), Wilma Plevano (Abruzzo), Giovanna Rossini (Lazio), Rosanna Sansonetti (Puglia), Stefania Santoro (Veneto), Giovanna Sau (Sardegna), Roberta Signoretto (Veneto), Giulia Strever (Molise), Alessia Tullio (Friuli Venezia Giulia), Adele Veste (Puglia), Antonella Zaccaria (Abruzzo), Francesco Matteo Zamponi (Marche).
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