Self-reported functional impairment in college students: relationship to noncredible reporting, ADHD, psychological disorders, and other psychological factors

Impairment Assessment in Adult ADHD and Related Disorders: Current Opinions From Clinic and Research

OBJECTIVES

Assessing functional impairment is one of the essential components in the clinical evaluation of ADHD in adulthood, serving both diagnostic and outcome evaluation purposes. However, clinicians and researchers may face challenges in selecting suitable instruments due to variations in accessibility and quality of instruments.

METHODS

We conducted an online survey involving an international group of 92 respondents engaged in clinical practice and/or research on ADHD. The survey aimed to evaluate current practices in assessing impairment in adult ADHD and related disorders, while also identifying areas requiring adaptation or potential new developments.

RESULTS

Our findings revealed that clinicians and researchers utilize a diverse range of instruments for assessing impairment in adults with ADHD, including some that may lack adequate properties for this purpose. Notably, dissatisfaction with current practice standards was expressed, underscoring the need for novel assessment approaches and improved psychometric properties.

CONCLUSION

It is evident that research endeavors are warranted to either refine existing measures or devise new ones for assessing functional impairment in adult ADHD. Emphasis should be placed on disseminating instruments that enhance accessibility in both research and clinical settings, and facilitate streamlined administration and interpretation.

Determining cutoff scores on the Conners' adult ADHD rating scales that can definitively rule out the presence of ADHD in a clinical sample

In recent years, the prevalence of Attention Deficit/Hyperactivity Disorder (ADHD) and the number of individuals seeking ADHD assessments has risen significantly, leading to an increased demand for accurate diagnostic tools. This study aimed to identify cutoff scores on the Conners' Adult ADHD Rating Scales (CAARS-S:L) that can definitively rule out the presence of ADHD. Among 102 clinically diagnosed adult ADHD participants and 448 non-ADHD participants who completed the CAARS-S:L, a receiver operating characteristic curve analysis established a perfectly discriminant cutoff T-score of <44 on the ADHD Symptoms Total subscale when looking at any ADHD diagnosis and <54 on the Inattentive Symptoms subscale when looking at individuals diagnosed with the inattentive subtype of ADHD. Alternative cutoffs of <54 (ADHD Symptoms Total subscale) and <63 (Inattentive Symptoms subscale) were also identified, both with a sensitivity of 0.95 or higher. Furthermore, the analysis found the ADHD Index to be a poor predictor of a negative ADHD diagnosis, suggesting against the use of this scale for cutoff determination. Despite this limitation, these findings indicate that with specific cutoffs, the CAARS-S:L may have the potential to conclusively rule out ADHD, effectively streamlining the diagnostic process and reducing unnecessary comprehensive assessments in clear negative cases.

A comparison of anxiety levels before and during the COVID-19 pandemic

The COVID-19 Pandemic upended the lives of nearly everyone worldwide, and recent studies have reported higher rates of anxiety, depression, and other mental health problems. Using a repeated crosssectional design, the current study compares anxiety levels from a representative sample of college students prior-to and during the COVID-19 Pandemic. Additionally, differences in anxiety prior to and following U.S. approval for use of the Pfizer-BioNTtech COVID-19 vaccine were also compared. Findings indicate that state-anxiety levels did not differ significantly prior to and during the Pandemic as well as before the vaccine and during and after the vaccine (M = 43.01, 44.10, 44.77, respectively). Surprisingly, trait anxiety levels were significantly higher during the Pandemic than before (p = .003), and anxiety levels trend down after the approval of the vaccine, but not significantly (M = 45.10, 48.85, 47.58, respectively). Future research should continue to investigate and compare anxiety levels during the COVID-19 Pandemic.

The Ability of Self-Report Methods to Accurately Diagnose Attention Deficit Hyperactivity Disorder: A Systematic Review

OBJECTIVE

To identify and analyze all studies validating rating scales or interview-based screeners commonly used to evaluate ADHD in adults.

METHOD

A systematic literature search identified all studies providing diagnostic accuracy statistics, including sensitivity and specificity, supplemented by relevant articles or test manuals referenced in reviewed manuscripts.

RESULTS

Only 20 published studies or manuals provided data regarding sensitivity and specificity when tasked with differentiating those with and without ADHD. While all screening measures have excellent ability to correctly classify non-ADHD individuals (with negative predictive values exceeding 96%), false positive rates were high. At best, positive predictive values in clinical samples reached 61%, but most fell below 20%.

CONCLUSION

Clinicians cannot rely on scales alone to diagnose ADHD and must undertake more rigorous evaluation of clients who screen positive. Furthermore, relevant classification statistics must be included in publications to help clinicians make statistically defensible decisions. Otherwise, clinicians risk inappropriately diagnosing ADHD.

Self-Reported Adult ADHD Symptoms: Evidence Supporting Cautious Use in an Assessment-Seeking Sample

OBJECTIVE

Self-report symptom inventories are commonly used in adult ADHD assessment, and research indicates they should be interpreted with caution. This study investigated one self-report symptom inventory for adult ADHD in a clinical sample.

METHOD

Archival data were used to evaluate diagnostic utility of the Conners Adult ADHD Rating Scale-Self-Report: Long Version (CAARS-S:L) in a sample of 122 adults seeking ADHD assessment.

RESULTS

Overall, sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) estimates for the ADHD Index and other CAARS-S:L scales demonstrated weak accuracy. Anxiety and depression were the most common diagnoses present when a false positive on the ADHD Index was observed. PPV and specificity for the ADHD Index were higher in males compared to females.

CONCLUSION

The CAARS-S:L may be useful for screening purposes in some cases, but should not be the main method used for diagnostic purposes. Clinical implications of findings are discussed.

Assessment of dropout rates in the preclinical years and contributing factors: a study on one Thai medical school

BACKGROUND

The highest dropout rate for medical students is during the preclinical years of education. Several studies have reported possible contributing factors, however, studies regarding the dropout rate from medical education among Thai medical students and its associated factors are still lacking. This study aimed to identify the prevalence of dropout from medical education within the preclinical period and its associated factors among Thai medical students.

METHODS

We collected data from preclinical medical students who entered one medical school in Bangkok, Thailand, between 2017-2019. Demographic data, admission program, pre-admission mental health status assessed by the Thai Mental Health Indicator 66, mental health records from the faculty-based counseling services, and academic achievement were extracted. Data were reported in a descriptive fashion. We analyzed the association between dropout and these factors by robust Poisson regression.

RESULTS

In total, 914 students were recruited. Dropout was only 1.5%, which was lower than the previous studies. Regression analysis showed a significant association between dropout and mental health problems [Prevalence ratio (PR) 58.20, 95%CI 13.72- 246.95] but not admission program [PR 0.32, 95%CI 0.09 - 1.16] or failing examinations [PR 0.59, 95%CI 0.18 - 1.90]. However, other contributing factors such as financial status, family problems, medical illness, and students' motivation, were not evaluated in this study.

CONCLUSIONS

Mental health problems during medical education were associated with dropout after adjusting for other confounding variables. Further longitudinal studies are needed to identify the impacts of academic failure on dropout in higher clinical years.

Scores in Self-Report Questionnaires Assessing Adult ADHD Can Be Influenced by Negative Response Bias but Are Unrelated to Performance on Executive Function and Attention Tests

Self-report questionnaires are in widespread use in the assessment of adults with suspected attention-deficit and hyperactivity disorder (ADHD). Notwithstanding the high degree of validity, these questionnaires are considered to possess, their stand-alone use in assessment for adult ADHD may result in false-positive diagnoses due to the risk of negative response bias. Most of the self-report questionnaires in typical use are based on the diagnostic systems DSM-5 or ICD-10. From a neuropsychological point of view, however, testing of various executive function abilities and attentional performance is important in the assessment of adult ADHD. The present study (N = 211) found no evidence linking executive function (working memory and inhibitory processes) and attentional performance (processing speed) to the results of a self-report questionnaire, the ADHS-LE. The number of failures on the three symptom or performance validity tests (SVT/PVT) used provided the sole, and significant, explanation for the response behavior reported on the ADHS-LE. Of these three SVT/PVTs (the German version of the Structured Inventory of Malingered Symptomatology, SIMS, the reliable digit span, and the standard deviation of simple reaction time), only the SIMS was found to be a significant predictor variable. In the clinical context of this study, 32.6% of subjects produced at least one invalid SVT/PVT result. The use of a more conservative criterion—failure on at least two of the three SVT/PVTs deemed to be feigning ADHD—reduced the proportion of participants generating invalid values to 5%.

Longitudinal Analysis of Self-Reported Symptoms, Behavioral Measures, and Event-Related Potential Components of a Cued Go/NoGo Task in Adults With Attention-Deficit/Hyperactivity Disorder and Controls

This study characterizes a large sample of adults with attention-deficit/hyperactivity disorder (ADHD) and healthy controls regarding their task performance and neurophysiology; cross-sectionally and longitudinally. Self-reported symptoms, behavioral measures, and event-related potentials from a classical cued Go/NoGo task were used to outline the symptom burden, executive function deficits and neurophysiological features, and the associations between these domains. The study participants (N = 210 ADHD, N = 158 controls, age: 18–62 years) were assessed five (ADHD) or three (controls) times over two years. We describe cross-sectional and longitudinal group differences, and associations between symptom burden, and behavioral and event-related potential (ERP) components variables by latent growth curve models, including random slopes and intercepts. The ADHD group showed increased reaction time variability, increased commission and omission errors, and attenuated cueP3, CNV, N2d, and P3d amplitudes. We observed a decrease in self-reported symptoms in the ADHD group over the two years. The behavioral measures (reaction time variability, number of omission, and commission errors) did not change over time, whereas the cueP3, P3d, and N2d amplitude attenuated in both groups. There was no evidence for a robust association between symptom burden and behavioral or ERP measures. The changes in the ERP components with stable task performance, potentially indicate more efficient neuronal processing over the two years. Whether the lack of association between symptom burden and behavioral or ERP measures might be due to the low reliability of the ADHD assessment criteria, or the inappropriateness of the objective measures cannot be inferred.