dc.description.abstract | Background and aims: Many children with Developmental Language Disorder (DLD) develop reading difficulties. The
purpose of this study is to better understand variation in the reading outcomes of children with DLD using a personcentered approach.<p>
<p>Method: 87 monolingual Dutch children diagnosed with DLD performed at ages 5 or 6 years nine tests of nonverbal IQ,
oral language proficiency, phonological memory (PM) and executive functioning (EF). Two years later, the same children
were tested on single (non-)word reading. Latent profile analyses were conducted to identify profiles based on oral
language proficiency, phonological memory and executive functioning at age 5–6 years, which, in turn, were related to
nonverbal IQ and to single-word reading two years later.<p>
<p<Results: Four profiles were identified and labelled relative to their position within the DLD-sample: 1. Weak performance overall, 2. Strong EF-average language and PM, 3. Mild working memory (WM) deficiencies-average language and
PM, 4. Strong development overall. Profiles 1 and 3 had below average nonverbal IQ scores and were associated with
low word reading outcomes two years later.<p>
<p>Conclusions: Within the group of children with DLD, children with relatively weak oral language, phonological memory
and executive functioning, or children with working memory deficiencies are most at risk for developing reading
difficulties. The findings support a multiple risk framework and confirm that a person-centered approach is promising
in predicting reading outcomes in DLD.<p>
<p>Implications: Research into individual differences in DLD is dominated by variable-centered approaches. This study
illustrates how a person-centered approach, which views variables as properties of individuals, captures variation in the
DLD-population. Using this bottom-up approach, the study highlights how an individual’s strengths and weaknesses
across different developmental domains can be combined into profiles that relate to later reading outcomes. As such, it
can provide an example for future DLD research. | en_US |