Co-occurring disorders in XXXX who stutter.

@entity1 @entity3180 @entity71 @entity4207 @entity7687 @entity8408
This study used a mail survey to determine the (a) percentage of @entity1 who stutter with co-occurring @entity8408 , @entity8408 , and @entity3180 , and (b) frequency, length of sessions, and type of treatment services provided for @entity1 who stutter with co-occurring disorders. Respondents from a nationwide sample included 1184 speech-language pathologists (SLPs). Of the 2628 @entity1 who stuttered, 62.8% had other co-occurring @entity8408 , @entity3180 , or non-speech- @entity3180 . @entity7687 (33.5%) and phonology disorders (12.7%) were the most frequently reported co-occurring @entity8408 . Only 34.3% of the @entity1 who stuttered had co-occurring non-speech- @entity3180 . Of those @entity1 with co-occurring non-speech- @entity3180 , @entity4207 (15.2%), literacy disorders (8.2%), and @entity71 ( @entity71 ) (5.9%) were the most frequently reported. Chi-square analyses revealed that males were more likely to exhibit co-occurring @entity8408 than females, especially articulation and phonology. Co-occurring non-speech- @entity3180 were also significantly higher in males than females. Treatment decisions by SLPs are also discussed. LEARNING OUTCOMES: As a result of this activity, the @entity1 should: (1) have a better understanding of the co-occurring @entity8408 , @entity3180 , and @entity8408 in @entity1 who stutter; (2) identify the @entity8408 , @entity3180 , and @entity8408 with the highest frequency of occurrence in @entity1 who stutter; and (3) be aware of the subgroups of @entity1 with co-occurring disorders and their potential impact on assessment and treatment.
