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Purpose This article summarizes the shared principles and evidence underpinning methods employed in the three sentence-level (syntactic) grammatical intervention approaches developed by the authors. We discuss associated clinical resources and map a way forward for clinically useful research in this area. Method We provide an overview of the principles and perspectives that are common across our three syntactic intervention approaches MetaTaal (Zwitserlood, 2015; Zwitserlood, Wijnen, et al., 2015), the SHAPE CODING system (Ebbels, 2007; Ebbels et al., 2014, 2007), and Complex Sentence Intervention (Balthazar & Scott, 2017, 2018). A description of each approach provides examples and summarizes current evidence supporting effectiveness for children with developmental language disorder ranging in age from 5 to 16 years. We suggest promising directions for future research that will advance our understanding of effective practices and support more widespread adoption of syntactic interventions with school-age children. see more Conclusion In each approach to syntactic intervention, careful and detailed analysis of grammatical knowledge is used to support target selection. Intervention targets are explicitly described and presented systematically using multimodal representations within engaging and functional activities. Treatment stimuli are varied within a target pattern in order to maximize learning. Similar intervention intervals and intensities have been studied and proven clinically feasible and have produced measurable effects. We identify a need for more research evidence to maximize the effectiveness of our grammatical interventions, encompassing languages other than English, as well as practical clinical tools to guide target selection, measurement of outcomes, and decisions about how to tailor interventions to individual needs.Purpose Conducting in-depth grammatical analyses based on language samples can be time consuming. Developmental Sentence Scoring (DSS) and the Index of Productive Syntax (IPSyn) analyses provide detailed information regarding the grammatical profiles of children and can be conducted using free computer-based software. Here, we provide a tutorial to support clinicians' use of computer-based analyses to aid diagnosis and develop and monitor treatment goals. Method We analyzed language samples of a 5-year-old with developmental language disorder and an adolescent with Down syndrome using computer-based software, Computerized Language Analysis. We focused on DSS and IPSyn analyses. The tutorial includes step-by-step procedures for conducting the analyses. We also illustrate how the analyses may be used to assist in diagnosis, develop treatment goals focused on grammatical targets, and monitor progress on these treatment goals. Conclusion Clinicians should consider using Computerized Language Analysis's IPSyn and DSS analyses to support grammatical language assessments used to aid diagnosis, develop treatment goals, and monitor progress on these treatment goals. Supplemental Material https//doi.org/10.23641/asha.12021141.Purpose Applying evidence-based grammar intervention can be challenging for speech and language therapists (SLTs). Language in Interaction Therapy (LIT) is a focused stimulation intervention for children with weak morphosyntactic skills, which was developed to support SLTs in incorporating results from effect studies in daily practice. The aims of this Clinical Focus are (a) to explain the principles and elements of LIT and stimulate use in daily SLT practice and (b) to describe the effects of LIT on morphosyntactic skills of 4- to 5-year-olds in special education, compared to usual care. Method With a description of LIT, we provide guidance to implement evidence-based intervention. Important elements are as follows proper selection of therapy goals, language facilitating techniques, child-centered and clinician-directed elements, and the use of scripts. Our focus in the description is on the support and practical solutions LIT tries to provide to SLTs. We also explored the implementation of LIT in special education, to improve morphosyntax in 4- and 5-year-old children. We provided SLTs with training and designed protocols for each therapy session. The effects of LIT were measured in a single-case A-B design, repeated in five children with developmental language disorders (ages 4;2-5;7 [years;months]). Conclusion We conclude that implementation of LIT is possible if LIT is enriched with support in goal selection, protocols to guide therapy sessions, and training and coaching. In the single-case study, four children showed more growth in mean length of utterance during and directly following the LIT intervention phase, compared to the baseline phase with usual care, and in two of them, this difference was significant. The grammatical complexity measure "TARSP-P" showed an overall significantly higher score at group level during LIT, but limited effects on an individual level.Purpose This study aimed to explore and identify the factors associated with problematic substance use (alcohol, tobacco, and cannabis) and behavioral addictions (internet and eating disorders) over time in adolescents and young adults (AYAs) treated for cancer. Methods AYAs newly diagnosed with cancer, 15-25 years of age, completed a questionnaire during their hospitalization (T1), assessing their consumption of alcohol, tobacco, and cannabis (The Alcohol Use Disorders Identification Test; The Smoking Behavior Questionnaire; and The Cannabis Abuse Screening Test), their internet use (The Internet Addiction Test), their body preoccupations (The Eating Attitudes Test), as well as their coping strategies (Brief COPE) and emotional adjustment (The Hospital Anxiety and Depression Scale). Questionnaires were completed again 6 months later (T2). Results Seventy-three AYAs were included at T1 and 21 AYAs at T2. Nearly one out of two (46.58%) AYAs had a problematic substance use or behavioral addiction after cancer diagnosis (T1). Problematic use of internet was frequently reported (23.29%), as well as harmful alcohol consumption or addiction (16.44%) and cannabis dependence (12.33%). The main factor related to problematic substance use was being older, while the main factor related to behavioral addiction was having a higher anxiety score. Substance use as a coping strategy was used more frequently by AYAs with problematic substance use and emotional support as a coping strategy was used more frequently by AYAs with a behavioral addiction. Conclusions High rates of problematic substance use and behavioral addiction were reported in our sample. AYAs surveyed had high problematic use of cannabis and high internet use. Attention to substance use and addictive behaviors is recommended to ensure optimal care.
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