Related Experiment Video
Updated: Dec 20, 2025

Universal Screening for Prevention of Reading, Writing, and Math Disabilities in Spanish
Published on: July 18, 2020
Breadth versus depth: Cumulative risk model and continuous measure prediction of poor language and reading outcomes
Marianna E Hayiou-Thomas1, Emily Smith-Woolley2, Philip S Dale3
1Department of Psychology, University of York, York, UK.
Insights
Multiple early childhood risks predict later language and literacy issues. The number of risks (breadth) is more important than their severity for predicting outcomes in adolescence.
Area of Science:
- Developmental Psychology
- Child Language and Literacy Research
- Longitudinal Studies
Background:
- Early childhood risks can impact long-term language and literacy development.
- Understanding the predictive power of cumulative risk is crucial for early intervention.
Purpose of the Study:
- To investigate the association between multiple early childhood risk factors and language/literacy outcomes in adolescence.
- To compare the predictive utility of cumulative risk breadth versus depth.
Main Methods:
- Longitudinal study of 210 participants from the Twins Early Developmental Study.
- Assessed risk factors at age 4 (family, language, speech, emergent literacy, nonverbal skills).
- Evaluated language, reading fluency, and comprehension outcomes at age 12.
Main Results:
- A cumulative risk index showed a modest but significant correlation with outcomes (r = 0.32-0.40).
- Having more risk factors (3-6) significantly increased the odds of poor outcomes (OR 7.86-17.71) compared to fewer risks (1-2).
- Risk severity did not improve predictive accuracy; breadth of risk was the key predictor.
Conclusions:
- The breadth of early childhood risk factors is a significant predictor of adolescent language and literacy outcomes.
- The severity of individual deficits does not substantially enhance the prediction of long-term outcomes.
- While cumulative risk offers moderate predictive accuracy, early identification remains challenging.
Abstract:
This study examines whether, and how, multiple risks in early childhood are associated with an increased likelihood of a poor language or literacy outcome in early adolescence. Using data from 210 participants in the longitudinal Twins Early Developmental Study, we focus on the following risk factors at age 4: family risk, and poor language, speech, emergent literacy and nonverbal skills. The outcomes of interest at age 12 are language, reading fluency and reading comprehension. We contrast a 'cumulative risk' model, counting the presence or absence of each risk factor (breadth), with a model that also considers the severity of the early deficits (depth). A 'cumulative risk index' correlated modestly but significantly with outcome (r = 0.32-0.40). Odds ratios confirmed that having many risk factors (3-6) confers a higher probability of a poor outcome (OR 7.86-17.71) than having one or two (OR 3.65-7.28). Logistic regression models showed that predictive validity is not improved by including information about the severity of each deficit. Even with rich information on children's risk status at age 4, we can make only a moderately accurate prediction of the likelihood of a language or literacy disorder 8 years later (Area Under the Curve = 0.74-0.84; Positive Predictive Value = 0.33-0.55, Negative Predictive Value = 0.86-0.91). Taken together, and consistent with the idea of 'cumulative risk', these results suggest that the breadth of risk is a core predictor of outcome, and furthermore, that the severity of early deficits does not add significantly to this prediction.
Related Concept Videos
Language and Cognition
Relative Risk
Hazard Rate
Language Development
The critical period for language acquisition suggests that the ability to acquire language is at its peak early in life. As people age, this proficiency decreases. Language development begins very...
Prediction Intervals
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y.
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...

