4.3 Article

Screening for the ADHD Phenotype Using the Strengths and Difficulties Questionnaire in a Clinical Sample of Newly Referred Children and Adolescents

Journal

JOURNAL OF ATTENTION DISORDERS
Volume 22, Issue 11, Pages 1032-1039

Publisher

SAGE PUBLICATIONS INC
DOI: 10.1177/1087054714561858

Keywords

strengths and difficulties questionnaire (SDQ); ADHD; screening; clinical sample

Ask authors/readers for more resources

Objective: To examine the screening ability of the Strengths and Difficulties Questionnaire (SDQ) for ADHD subtypes in a clinical sample. Method: Parents of 523 children (3 to 17 years old) referred to Child and Adolescent Mental Health Services completed the Spanish version of the SDQ and the ADHD Rating Scale-IV. Receiver operating curve (ROC) curve analyses and likelihood ratios (LRs) were conducted. Results: The LR results indicated that the 8/10 cutoff showed the highest diagnostic accuracy. The sensitivity of the SDQ 8/10 cutoff for the three subtypes was significantly different: 84.0% (95% confidence interval [CI] = [75.58, 89.90]) of ADHD combined subtype (ADHD-Co), 25.0% (95% CI = [17.55, 34.30]) of ADHD predominantly inattentive subtype (ADHD-I), and 77.8% (95% CI = [68.71, 84.83]) of ADHD predominantly hyperactive/impulsive subtype (ADHD-H). Sex and age differences were found. These screening differences were also found when using the 7/10 cutoff or the SDQ predictive algorithm. Conclusion: Our study supports the use of the SDQ in the screening for ADHD. However, not all ADHD subtypes are equally screened.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.3
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

Review Psychology, Developmental

Video games for the assessment and treatment of attention-deficit/hyperactivity disorder: a systematic review

Inmaculada Penuelas-Calvo, Lin Ke Jiang-Lin, Braulio Girela-Serrano, David Delgado-Gomez, Rocio Navarro-Jimenez, Enrique Baca-Garcia, Alejandro Porras-Segovia

Summary: This article reviews the application of video game-based assessment tools and interventions in children with ADHD. The study found that video game-based assessment tools were effective in discriminating ADHD cases from controls and differentiating between ADHD subtypes. Video game-based therapeutic interventions were also effective in improving cognitive areas and reducing ADHD symptoms.

EUROPEAN CHILD & ADOLESCENT PSYCHIATRY (2022)

Article Nursing

A One-Year Follow Up Study on Disability in Mental Health Nursing Practice

Elena Hernando-Merino, Enrique Baca-Garcia, Maria Luisa Barrigon

Summary: Disability is common in patients with mental disorders, and therapeutic approaches should promote functional recovery to achieve the highest quality of life. This study reports changes in WHODAS 2.0 scores at 1 year of follow-up among patients receiving care from a single mental-health nurse in a community setting in Spain and compare these changes by diagnosis (SMI vs. CMI). The study found that all patients had improved WHODAS 2.0 scores in all domains except those domains related to work and relationships, and almost half of the patients were no longer undergoing treatment with the nurse at 1-year follow-up.

CLINICAL NURSING RESEARCH (2023)

Review Psychiatry

Artificial intelligence and suicide prevention: A systematic review

Alban Lejeune, Aziliz Le Glaz, Pierre-Antoine Perron, Johan Sebti, Enrique Baca-Garcia, Michel Walter, Christophe Lemey, Sofian Berrouiguet

Summary: AI shows great potential in identifying patients at risk of suicide, with overall good performance across different algorithms and application settings. However, the precise use of these algorithms in clinical situations and the ethical issues it raises need to be clarified.

EUROPEAN PSYCHIATRY (2022)

Article Psychiatry

News Media and Suicide: Using Big Data Techniques to Assess the Long-Term Impact

Nora Palomar-Ciria, Hugo J. Bello, Celia Lozano, Fanny Cegla-Schvartzman, Marta Migoya-Borja, Enrique Baca-Garcia

PSYCHIATRY-INTERPERSONAL AND BIOLOGICAL PROCESSES (2022)

Article Psychiatry

Investigating the Contribution of Decision-Making, Cognitive Insight, and Theory of Mind in Insight in Schizophrenia: A Cross-Sectional Study

Javier-David Lopez-Morinigo, Paula-Jhoana Escobedo-Aedo, Adela Sanchez-Escribano Martinez, Veronica Gonzalez Ruiz-Ruano, Sergio Sanchez-Alonso, Laura Mata-Iturralde, Laura Munoz-Lorenzo, Enrique Baca-Garcia, Anthony S. David

Summary: This study investigated the contribution of decision-making, cognitive insight, and theory of mind to insight in schizophrenia spectrum disorders. The findings showed that cognitive insight and decision-making were the main cognitive processes underlying insight. Metacognitive interventions may improve insight in these disorders, but may not address treatment compliance.

PSYCHOPATHOLOGY (2022)

Letter Psychiatry

A proposal definition criteria for psychotic relapse: Filling the gap for real-world studies

Marta Migoya-Borja, Gonzalo Martinez-Ales, Maria Luisa Barrigon, Nora Palomar-Ciria, Fanny Cegla-Schvartzman, Enrique Baca-Garcia

SCHIZOPHRENIA RESEARCH (2022)

Article Medicine, General & Internal

Longitudinal trajectories of suicidal ideation and attempts in adolescents with psychiatric disorders in Chile: study protocol

Pablo Mendez-Bustos, Jaime Fuster-Villaseca, Jorge Lopez-Castroman, Oscar Jimenez-Solomon, Cecilia Olivari, Enrique Baca-Garcia

Summary: Adolescent suicide is a global public health problem, particularly prominent in low-income countries. The suicide rate among adolescents in the Maule Region of Chile has been increasing rapidly. This study aims to evaluate the trajectories of ideation and suicide attempts in adolescents with psychiatric disorders, based on clinical, psychological and neuropsychological factors.

BMJ OPEN (2022)

Article Psychiatry

Real-world feasibility and acceptability of real-time suicide risk monitoring via smartphones: A 6-month follow-up cohort

Alejandro Porras-Segovia, Isaac Diaz-Olivan, Maria Luisa Barrigon, Manon Moreno, Antonio Artes-Rodriguez, Maria Mercedes Perez-Rodriguez, Enrique Baca-Garcia

Summary: This study aimed to assess the feasibility and acceptability of active and passive smartphone-based Ecological Momentary Assessment (EMA) in real-world conditions among patients at high risk for suicide. Results showed that retention rate with active EMA was lower after 6 months, while retention rate with passive EMA was relatively higher. Satisfaction, app uninstallation, and diagnosis of eating disorders were associated with stopping active EMA, while satisfaction and app uninstallation were associated with stopping passive EMA. Smartphone-based active and passive EMA have the potential to increase accessibility to mental healthcare.

JOURNAL OF PSYCHIATRIC RESEARCH (2022)

Article Communication

Suicide Classification for News Media Using Convolutional Neural Networks

Hugo J. Bello, Nora Palomar-Ciria, Enrique Baca-Garcia, Celia Lozano

Summary: The process of evaluating suicide is highly subjective, but the use of artificial intelligence tools can help identify patterns and themes related to suicide in large datasets from media texts. By training a neural model using tweets with suicide-related hashtags, this study found a significant impact of suicide cases in the media and an intrinsic thematic relationship in suicide news.

HEALTH COMMUNICATION (2023)

Article Psychiatry

Predictors of mental health service utilization as adolescents with attention deficit hyperactivity disorder transition into adulthood

Braulio Girela-Serrano, Carolina Miguelez, Alejandro Alban Porras-Segovia, Cristina Diaz, Manon Moreno, Inmaculada Penuelas-Calvo, Rocio Rosello, Enrique Baca-Garcia, Juan Jose Carballo

Summary: The study found that adolescents with ADHD who exhibited more severe symptoms of hyperactivity/impulsivity and emotional dysregulation were more likely to continue receiving mental health services in adulthood. Better characterization of patient profiles will help clinicians identify at-risk groups early and tailor intervention and prevention strategies.

EARLY INTERVENTION IN PSYCHIATRY (2023)

Article Psychiatry

Text mining methods for the characterisation of suicidal thoughts and behaviour

Alba Sedano-Capdevila, Mauricio Toledo-Acosta, Maria Luisa Barrigon, Eliseo Morales-Gonzalez, David Torres-Moreno, Bolivar Martinez-Zaldivar, Jorge Hermosillo-Valadez, Enrique Baca-Garcia

Summary: Traditional research methods have limited predictive value for suicidal risk assessments in clinical practice. In this study, natural language processing was used as a new tool to assess self-injurious thoughts and emotions. The authors evaluated 2838 psychiatric outpatients using the MEmind project and analyzed their anonymous unstructured responses to assess emotional content and suicidal risk. The results showed that natural language processing can effectively classify patients based on their desire not to live, facilitating real-time communication and intervention strategies.

PSYCHIATRY RESEARCH (2023)

Article Clinical Neurology

Factors associated with transitioning from suicidal ideation to suicide attempt in the short-term: Two large cohorts of depressed outpatients

Alejandro Porras-Segovia, Benedicte Nobile, Emilie Olie, Elia Gourguechon-Buot, Enrique Baca Garcia, Philip Gorwood, Sofia Abascal-Peiro, Philippe Courtet

Summary: This study investigates the factors associated with transitioning from recent suicidal ideation to suicide attempts in depressed outpatients. The study followed up on depressed adult outpatients in France for six weeks. Logistic regressions were used to explore the differences between patients with suicidal ideation who attempted suicide and those who did not.

JOURNAL OF AFFECTIVE DISORDERS (2023)

Letter Psychiatry

Evaluating the inter-rater reliability of the Scale to Assess Unawareness of Mental Disorder using the DOMENIC method

Carmen Vidal Marino, Maria Luisa Barrigon Estevez, Irene Caro Canizares, Enrique Baca Garcia

SCHIZOPHRENIA RESEARCH (2023)

Article Health Care Sciences & Services

Continuous Assessment of Function and Disability via Mobile Sensing: Real-World Data-Driven Feasibility Study

Emese Sukei, Lorena Romero-Medrano, Santiago de Leon-Martinez, Jesus Herrera Lopez, Juan Jose Campana-Montes, Pablo M. Olmos, Enrique Baca-Garcia, Antonio Artes

Summary: The study aims to prove the feasibility of using a machine learning pipeline based on mobile sensing data to predict function and disability. The results demonstrate that this method can provide better explainability to clinical practice through interpretable feature selection.

JMIR FORMATIVE RESEARCH (2023)

Article Psychiatry

Understanding the potential of digital therapies in implementing the standard of care for depression in Europe

Philippe Courtet, Odile Amiot, Enrique Baca-Garcia, Lara Bellardita, Giancarlo Cerveri, Anne-Helene Clair, Diego De Leo, Dominique Drapier, Eric Fakra, Francis Gheysen, Lucas Giner, Ana Gonzalez-Pinto, Gualberto Gussoni, Emmanuel Haffen, Laurent Lecardeur, Fermin Mayoral-Cleries, Francesco Saverio Mennini, Pilar A. Saiz, Eduard Vieta, Diego Alberto Hidalgo, Umberto Volpe

Summary: Depressive disorders are the most common mental illnesses, and the COVID-19 pandemic has increased their prevalence and burden. Telemedicine and digital therapeutics have emerged as potential tools for following up with patients and providing clinical interventions. While the combination of antidepressants and psychotherapy is recommended, it is not commonly practiced. Digital interventions have shown efficacy in clinical trials and can expand access to valid treatment options.

EUROPEAN PSYCHIATRY (2023)

No Data Available