Identification of biological and environmental risk factors for XXXX : The Let's Talk STEPS study.

@entity1 @entity10791
UNASSIGNED: The aim of this population-based study was to identify demographic factors for @entity10791 at an early age. The risk analysis covered 11 biological and 8 environmental factors. The mothers' concerns regarding language development were also examined. A total of 226 @entity1 from a Finnish cohort study were invited to participate in language assessments at 36 months. The test results for word finding and language comprehension were compared with parental questionnaires about @entity1 's vocabulary at 13 and 24 months. Regression analysis revealed that the father's social class (t=-2.79, p=0.006) and working full time (t=-2.86, p=0.005) significantly predicted @entity1 's @entity10791 . In addition, language comprehension was significantly predicted by the mother's social class (t=-2.06, p=0.041) and by gender, with an advantage to @entity1 (t=-2.71, p=0.008). Vocabulary at 24 months was a powerful predictor for lexical development (t=4.58, p<0.0001) and language comprehension (t=4.85, p<0.0001) at 36 months. Mothers' concerns were correlated with @entity1 's limited lexicons as early as 24 months (r=0.31, p<0.0001) and poor language comprehension (r=-0.35, p<0.0001) at 36 months. Mothers were especially concerned if the parents needed special education during school years. At the population-level, gender was the most powerful biological factor in predicting @entity10791 . Similarly, both parents' social status had predictive value for the @entity1 's language development. In addition, it was found that the mother's concern about her @entity1 's slow language acquisition should be taken into account when making decisions regarding special support.
