Dataset Information

Assessment of improvement in anxiety severity for children with autism spectrum disorder: The matched correspondence analysis approach.

ABSTRACT:

Introduction

Clinical trials typically involve random assignment to treatment conditions. However, random assignment does not guarantee a lack of systematic variation in the outcomes, and application of covariation methods for multiple dependent measures requires complicated assumptions that are often not met.

Methods

This study employed matched correspondence analysis (CA) for controlling systematic variation and handling multiple outcomes. One hundred nine children with autism spectrum disorder (ASD) were assessed for anxiety symptom severity across four studies, where participants were randomly assigned to either cognitive behavioral therapy (CBT) or treatment as usual or waitlist (TAU/WT). Matched CA is designed to optimally scale only the differences between baseline and posttreatment, rendering the systematic baseline carryover effects irrelevant.

Results

Differences in treatment efficacy were observed. CBT showed treatment efficacy on anxiety severity and anxiety-related impairment relative to TAU/WT, after the control of baseline carryover effects.

Conclusion

This study provides a way to control systematic variation between groups at the outset of treatment trials and is expected to provide a novel pathway to more proper assessment of treatment efficacy for children with ASD and anxiety.

SUBMITTER: Kim SK

PROVIDER: S-EPMC9198104 | biostudies-literature | 2021 Dec

REPOSITORIES: biostudies-literature

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Publications

Assessment of improvement in anxiety severity for children with autism spectrum disorder: The matched correspondence analysis approach.

Kim Se-Kang SK McKay Dean D Cepeda Sandra L SL Schneider Sophie C SC Wood Jeffrey J Storch Eric A EA

Journal of psychiatric research 20211215

<h4>Introduction</h4>Clinical trials typically involve random assignment to treatment conditions. However, random assignment does not guarantee a lack of systematic variation in the outcomes, and application of covariation methods for multiple dependent measures requires complicated assumptions that are often not met.<h4>Methods</h4>This study employed matched correspondence analysis (CA) for controlling systematic variation and handling multiple outcomes. One hundred nine children with autism s ...[more]

PMID: 34923358

Similar Datasets

Project description:ImportanceIt is critical to evaluate the risk of comorbid psychiatric diagnoses to meet the needs of individuals with autism spectrum disorder (ASD).ObjectiveTo examine whether individuals with ASD are at greater risk for comorbid diagnoses of depression, anxiety, or bipolar disorder.Design, setting, and participantsThis cohort study used data from a population-based birth cohort of 31 220 individuals born in Olmsted County, Minnesota, from January 1, 1976, to December 31, 2000. Patients with research-identified ASD were previously identified using a multistep process that evaluated signs and symptoms abstracted from medical and educational records. For each of the 1014 patients with ASD, 2 age- and sex-matched referents who did not meet criteria for ASD were randomly selected from the birth cohort (n = 2028). Diagnosis codes for anxiety, depression, and bipolar disorders were electronically obtained using the Rochester Epidemiological Project records-linkage system. Data analysis was performed from July 1, 2018, to April 1, 2019.Main outcomes and measuresCumulative incidence of clinically diagnosed depression, anxiety, and bipolar disorder through early adulthood in individuals with ASD compared with referents.ResultsA total of 1014 patients with ASD (median age at last follow-up, 22.8 years [interquartile range, 18.4-28.0 years]; 747 [73.7%] male; 902 [89.0%] white) and 2028 referents (median age at last follow-up, 22.4 years [interquartile range, 18.8-26.2 years]; 1494 [73.7%] male; 1780 [87.8%] white) participated in the study. Patients with ASD were significantly more likely to have clinically diagnosed bipolar disorder (hazard ratio [HR], 9.34; 95% CI, 4.57-19.06), depression (HR, 2.81; 95% CI, 2.45-3.22), and anxiety (HR, 3.45; 95% CI, 2.96-4.01) compared with referents. Among individuals with ASD, the estimates of cumulative incidence by 30 years of age were 7.3% (95% CI, 4.8%-9.7%) for bipolar disorder, 54.1% (95% CI, 49.8%-58.0%) for depression, and 50.0% (95% CI, 46.0%-53.7%) for anxiety. Among referents, cumulative incidence estimates by 30 years of age were 0.9% (95% CI, 0.1%-1.7%) for bipolar disorder, 28.9% (95% CI, 25.7%-32.0%) for depression, and 22.2% (95% CI, 19.3%-25.0%) for anxiety.Conclusions and relevanceThe findings suggest that individuals with ASD may be at increased risk for clinically diagnosed depression, anxiety, and bipolar disorder compared with age- and sex-matched referents. This study supports the importance of early, ongoing surveillance and targeted treatments to address the psychiatric needs of individuals with ASD.

Dataset Information

Assessment of improvement in anxiety severity for children with autism spectrum disorder: The matched correspondence analysis approach.

Introduction

Methods

Results

Conclusion

Publications

Assessment of improvement in anxiety severity for children with autism spectrum disorder: The matched correspondence analysis approach.

Similar Datasets

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