Do Symptoms of ADHD at Ages 7 and 10 Predict Academic Outcome at Age 16 in the General Population?
Access Status
Authors
Date
2014Type
Metadata
Show full item recordCitation
Source Title
ISSN
Collection
Abstract
© 2012 SAGE Publications. Objective: To examine the value of the Conners 10-item scale to predict academic outcomes at age 16 years in schoolchildren aged 7 and 10 years. Method: A cohort study of N = 544 children in a municipality of Stockholm County was conducted. Using the parent and teacher version of the Conners 10-item scale, 7- and 10-year-olds were screened for ADHD symptoms and followed-up for school outcome at age 16 years. Results: The best predictors for school outcome at age 16 years were the Conners items, “child failing to finish tasks” and “being inattentive, easily distracted,” with a high specificity (90%-97%) but low sensitivity (18%-39%). Conclusion: This study indicates a considerable association between certain symptoms of inattentiveness in young schoolchildren and academic underachievement at age 16 years. Screening for one to two symptoms of inattention in schoolchildren identifies 30% to 40% of participants at risk for later poor school attainment.
Related items
Showing items related by title, author, creator and subject.
-
Riegel, B.; Hanlon, A.; McKinley, S.; Moser, D.; Meischke, H.; Doering, L.; Davidson, Patricia; Pelter, M.; Dracup, K. (2010)Background: The timely and accurate identification of symptoms of acute coronary syndrome (ACS) is a challenge forpatients and clinicians. It is unknown whether response times and clinical outcomes differ with specific ...
-
Agarwal, Shabnam (2011)BackgroundCervical radiculopathy (CR) results in significant disability and pain and is commonly treated conservatively with satisfactory clinical outcomes. However, a considerable number of patients require surgery to ...
-
Charman, T.; Loth, E.; Tillmann, J.; Crawley, D.; Wooldridge, C.; Goyard, D.; Ahmad, J.; Auyeung, B.; Ambrosino, S.; Banaschewski, T.; Baron-Cohen, S.; Baumeister, S.; Beckmann, C.; Bolte, Sven; Bourgeron, T.; Bours, C.; Brammer, M.; Brandeis, D.; Brogna, C.; De Bruijn, Y.; Chakrabarti, B.; Cornelissen, I.; Acqua, F.; Dumas, G.; Durston, S.; Ecker, C.; Faulkner, J.; Frouin, V.; Garcés, P.; Ham, L.; Hayward, H.; Hipp, J.; Holt, R.; Isaksson, J.; Johnson, M.; Jones, E.; Kundu, P.; Lai, M.; D'Ardhuy, X.; Lombardo, M.; Lythgoe, D.; Mandl, R.; Mason, L.; Meyer-Lindenberg, A.; Moessnang, C.; Mueller, N.; O'Dwyer, L.; Oldehinkel, M.; Oranje, B.; Pandina, G.; Persico, A.; Ruggeri, B.; Ruigrok, A.; Sabet, J.; Sacco, R.; Cáceres, A.; Simonoff, E.; Toro, R.; Tost, H.; Waldman, J.; Williams, S.; Zwiers, M.; Spooren, W.; Murphy, D.; Buitelaar, J. (2017)© 2017 The Author(s). Background: The EU-AIMS Longitudinal European Autism Project (LEAP) is to date the largest multi-centre, multi-disciplinary observational study on biomarkers for autism spectrum disorder (ASD). The ...