Title |
Personality profiles in adults with attention deficit hyperactivity disorder (ADHD)
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Published in |
BMC Psychiatry, June 2016
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DOI | 10.1186/s12888-016-0906-6 |
Pubmed ID | |
Authors |
Nader Perroud, Roland Hasler, Nicolas Golay, Julien Zimmermann, Paco Prada, Rosetta Nicastro, Jean-Michel Aubry, Stefano Ardu, François R Herrmann, Panteleimon Giannakopoulos, Patrick Baud |
Abstract |
Previous studies suggested that the presence of ADHD in children and young adolescents may affect the development of personality. Whether or not the persistence of ADHD in adult life is associated with distinct personality patterns is still matter for debate. To address this issue, we compared the profiles of the Temperament and Character Inventory (TCI) that assesses personality dimensions in 119 adults ADHD and 403 controls. ANCOVA were used to examine group differences (controls vs. ADHD and ADHD inattentive type vs. ADHD combined + hyperactive/impulsive types) in Temperaments and Characters. Partial correlation coefficients were used to assess correlation between TCI and expression and severity of symptoms of ADHD. High novelty seeking (NS), harm avoidance (HA) and self-transcendence (ST) scores as well as low self-directedness (SD) and cooperativeness (C) scores were associated with ADHD diagnosis. Low SD was the strongest personality trait associated with adult ADHD. Cases with the ADHD inattentive type showed higher HA and lower SD scores compared to the combined and hyperactive/impulsive types. High HA scores correlated with inattention symptoms whereas high NS and ST scores were related to hyperactive symptoms. Finally low SD and high NS were associated with increased ADHD severity. Distinct temperaments were associated with inattentive versus hyperactive/impulsive symptoms supporting the heterogeneous nature of the disorder. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United Kingdom | 2 | 29% |
Portugal | 1 | 14% |
Germany | 1 | 14% |
Unknown | 3 | 43% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 7 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 107 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Master | 17 | 16% |
Student > Ph. D. Student | 13 | 12% |
Student > Bachelor | 12 | 11% |
Student > Doctoral Student | 10 | 9% |
Researcher | 8 | 7% |
Other | 12 | 11% |
Unknown | 35 | 33% |
Readers by discipline | Count | As % |
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Psychology | 25 | 23% |
Medicine and Dentistry | 19 | 18% |
Neuroscience | 6 | 6% |
Business, Management and Accounting | 4 | 4% |
Computer Science | 2 | 2% |
Other | 12 | 11% |
Unknown | 39 | 36% |