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Habdank-Kolaczkowski JS, Akahara PC, Ishola F, Salawu MA, Augustine SW, Ezeamii VC, David AB, Okobi E, Okobi OE. Attention-Deficit Hyperactivity Disorder Among American Youth: A Comprehensive 20-Year Analysis of National Center for Health Statistics (NCHS) Data. Cureus 2023; 15:e48781. [PMID: 38098925 PMCID: PMC10719878 DOI: 10.7759/cureus.48781] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/13/2023] [Indexed: 12/17/2023] Open
Abstract
BACKGROUND Attention-deficit hyperactivity disorder (ADHD) is a neurodevelopmental condition that has a significant impact on the lives of children and adolescents. This study conducts a comprehensive 20-year analysis of data from the National Center for Health Statistics (NCHS) to investigate the prevalence of ADHD among American youth, as well as its demographic patterns and socioeconomic determinants. METHODS A retrospective analysis of NCHS data spanning from 1997 to 2018 was carried out. The dataset included information on ADHD diagnoses, demographic characteristics (such as age, gender, and race/ethnicity), socioeconomic indicators (including poverty level and health insurance status), and temporal variables. A range of statistical analyses were performed, encompassing temporal trend analysis, demographic assessments, and socioeconomic examinations. RESULTS It was consistently observed that boys had a higher prevalence of ADHD (12.93% compared to 5.61%), aligning with established trends. Among adolescents aged 10-17, the prevalence was the highest at 11.09%, while for the 5-9 age group, it stood at 6.57%. In terms of racial and ethnic groups, individuals identifying as two or more races exhibited the highest prevalence at 12.36%, followed by white (9.83%), black or African American (10.09%), Hispanic or Latino (5.36%), and non-Hispanic or Latino (10.64%). Socioeconomic disparities were evident, with a prevalence of 11.41% among those living below the poverty line, compared to 10.6% (100%-199% of the poverty line), 8.6% (200%-399%), and 8.39% (400% or more). Medicaid beneficiaries had the highest prevalence at 12.57%, followed by those with private insurance (9.65%), insured (8.11%), and uninsured (5.83%). CONCLUSION These findings underscore the intricate relationship between ADHD prevalence and demographic and socioeconomic factors. It is imperative to address these disparities to ensure equitable assessment and intervention for ADHD, taking into account cultural influences, determinants of health tied to socioeconomic status, and access to healthcare for all children. This analysis by the NCHS provides essential insights into ADHD among American youth, emphasizing the necessity for tailored interventions, equitable healthcare access, and further research to comprehensively address this complex neurodevelopmental disorder.
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Affiliation(s)
- Julian S Habdank-Kolaczkowski
- Medical School, Poznan University of Medical Sciences, Poznan, POL
- Neurological Surgery, University of California San Francisco, San Francisco, USA
- Psychiatry and Behavioral Sciences, Avant Interventional Psychiatry, Atlanta, USA
- Psychiatry and Behavioral Sciences, ClearMinds Behavioral Health, Chesterfield, USA
| | | | - Fola Ishola
- Healthcare, University of Southern Mississippi, Houston, USA
| | - Mujeeb A Salawu
- Medicine and Surgery, University of Ilorin College of Health Sciences, Ilorin, NGA
- Internal Medicine and Psychiatry, Houston Health Department, Houston, USA
| | - Sana W Augustine
- Internal Medicine, Liaquat University of Medical and Health Sciences, Hyderabad, PAK
| | | | - Ademiluyi B David
- Medical Laboratory Sciences, Asokoro General Hospital Abuja, Abuja, NGA
| | - Emeka Okobi
- Dentistry, Ahmadu Bello University Teaching Hospital Zaria, Abuja, NGA
| | - Okelue E Okobi
- Family Medicine, Larkin Community Hospital Palm Springs Campus, Miami, USA
- Family Medicine, Medficient Health Systems, Laurel, USA
- Family Medicine, Lakeside Medical Center, Belle Glade, USA
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Lundervold AJ, Sørensen L, Posserud MB, Hysing M. Low Persistence of Inattention Symptoms From Childhood to Adolescence: A Population-Based Study. J Atten Disord 2023; 27:1532-1539. [PMID: 37496456 PMCID: PMC10552345 DOI: 10.1177/10870547231187147] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 07/28/2023]
Abstract
OBJECTIVE To investigate the persistence of dimensional measures of inattention in a population-based, gender-balanced sample of adolescents with parent reports of inattention from childhood and self-reports of inattention in adolescence. METHOD Adolescents, 16-19 years old, completed the Adult ADHD Self Report Scale. Their parents completed the Swanson, Nolan, and Pelham Rating Scale-4th Edition when they were 7-9 and 11-13 years old. RESULTS More severe inattention in boys than girls in childhood shifted to a female predominance in adolescence. The correlation between reports of inattention in childhood and adolescence was weak, with parent reports explaining only ~5% of the variance in the inattention score reported in adolescence. CONCLUSION The weak association between inattention in childhood and adolescence is consistent with the emerging challenges associated with being an adolescent, but the impact of shifts in informants, gender and age on symtpom presentations should be investigated in future studies.
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Affiliation(s)
| | | | - Maj-Britt Posserud
- University of Bergen, Norway
- Haukeland University Hospital, Bergen, Norway
| | - Mari Hysing
- University of Bergen, Norway
- Regional Centre for Child and Youth Mental Health and Child Welfare, NORCE Norwegian Research Centre, Bergen, Norway
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Kaya Kara O, Kara K, Dogan M, Tascioglu EN, Kose B, Cetin SY, Sahin S, Anaby D. How cognitive and behavioural body-functions of children with ADHD are linked to their participation and environmental supports? RESEARCH IN DEVELOPMENTAL DISABILITIES 2023; 141:104592. [PMID: 37639883 DOI: 10.1016/j.ridd.2023.104592] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/06/2023] [Revised: 08/21/2023] [Accepted: 08/23/2023] [Indexed: 08/31/2023]
Abstract
BACKGROUND Children with chronic conditions face participation restrictions and exclusions. AIMS To investigate how cognitive and behavioural body-functions are associated with 1) participation patterns and 2) environmental factors among children with attention deficit hyperactivity disorder (ADHD). METHODS AND PROCEDURES The study included 83 children with ADHD. Cognitive and behavioural body-functions were assessed with Conners' Parent Rating Scale-Revised Long-Version. The participation patterns of children were assessed with Participation and Environment Measure for Children and Youth (PEM-CY). Multiple regression analyses were used to examine the relationships between cognitive and behavioural body-functions and (1) participation patterns at home, school and community settings, and (2) environmental supports and barriers. OUTCOME AND RESULTS In home setting, inattention and ADHD index which determine ADHD children from typically developing peers, were the strongest factors, explaining 24.9 % of variance in activities that mothers wanted to change. In school setting, presence/level of oppositional behaviours had the strongest effect on environmental barriers, with variation of 29.8 %. In community setting, the strongest factor explaining environmental helpfulness was anxious/shy behaviours (16.1 %). CONCLUSIONS AND IMPLICATIONS When seeking to improve participation of children with ADHD both the cognitive and behavioural demands of chosen activities should be modified while creating environments that supports these challenges.
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Affiliation(s)
- Ozgun Kaya Kara
- Akdeniz University, Faculty of Health Sciences, Department of Physiotherapy and Rehabilitation, Antalya, Turkey.
| | - Koray Kara
- University of Health Sciences Turkey, Antalya Training and Research Hospital, Department of Child and Adolescent Psychiatry, Antalya, Turkey
| | - Mert Dogan
- Akdeniz University, Faculty of Health Sciences, Department of Physiotherapy and Rehabilitation, Antalya, Turkey
| | - Elif Nur Tascioglu
- Pamukkale University, Faculty of Physical Therapy and Rehabilitation, Denizli, Turkey
| | - Barkin Kose
- University of Health Sciences Turkey, Faculty of Gülhane Health Sciences, Department of Occupational Therapy, Turkey
| | - Sebahat Yaprak Cetin
- Akdeniz University, Faculty of Health Sciences, Department of Physiotherapy and Rehabilitation, Antalya, Turkey
| | - Sedef Sahin
- Hacettepe University, Faculty of Health Sciences, Department of Occupational Therapy, Ankara, Turkey
| | - Dana Anaby
- McGill University, Faculty of Medicine and Health Sciences, School of Physical and Occupational Therapy, Montreal, Canada
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Johns‐Mead R, Vijayakumar N, Mulraney M, Melvin G, Youssef G, Sciberras E, Anderson VA, Nicholson JM, Efron D, Hazel P, Silk TJ. Categorical and dimensional approaches to the developmental relationship between ADHD and irritability. J Child Psychol Psychiatry 2023; 64:1422-1431. [PMID: 37170636 PMCID: PMC10952727 DOI: 10.1111/jcpp.13818] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 03/16/2023] [Indexed: 05/13/2023]
Abstract
BACKGROUND Attention deficit hyperactivity disorder (ADHD) and irritability commonly co-occur, and follow similar developmental trajectories from childhood to adolescence. Understanding of the developmental relationship between these co-occurrences is limited. This study provides a longitudinal assessment of how ADHD diagnostic status and symptom patterns predict change in irritability. METHODS A community sample of 337 participants (45.2% ADHD), recruited for the Childhood Attention Project, completed the Affective Reactivity Index (ARI) to measure irritability at baseline (mean age 10.5 years) and follow-up after 18-months. Latent change score models were used to assess how (a) baseline ADHD vs. control group status, (b) baseline symptom domain (inattention, hyperactivity-impulsivity) and (c) longitudinal change in ADHD symptom severity predicted change in irritability. RESULTS Irritability was significantly higher among the ADHD group than controls; however, change in irritability over time did not differ between groups. When assessed across the entire cohort, change in irritability was predicted by higher symptom count in the hyperactive-impulsive domain, but not the inattentive domain. Greater declines in ADHD symptoms over time significantly predicted greater declines in irritability. Baseline ADHD symptom severity was found to significantly predict change in irritability; however, baseline irritability did not significantly predict change in ADHD symptoms. CONCLUSIONS ADHD symptoms-particularly hyperactive-impulsive symptoms-predict the degree and trajectory of irritability during childhood and adolescence, even when symptoms are below diagnostic thresholds. The use of longitudinal, dimensional and symptom domain-specific measures provides additional insight into this relationship.
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Affiliation(s)
- Rania Johns‐Mead
- Centre for Social and Early Emotional Development (SEED) and School of PsychologyDeakin UniversityGeelongVic.Australia
| | - Nandita Vijayakumar
- Centre for Social and Early Emotional Development (SEED) and School of PsychologyDeakin UniversityGeelongVic.Australia
| | - Melissa Mulraney
- Institute for Social NeuroscienceISN PsychologyIvanhoeVic.Australia
| | - Glenn Melvin
- Centre for Social and Early Emotional Development (SEED) and School of PsychologyDeakin UniversityGeelongVic.Australia
| | - George Youssef
- Centre for Social and Early Emotional Development (SEED) and School of PsychologyDeakin UniversityGeelongVic.Australia
| | - Emma Sciberras
- Centre for Social and Early Emotional Development (SEED) and School of PsychologyDeakin UniversityGeelongVic.Australia
- Murdoch Children's Research InstituteMelbourneVic.Australia
| | - Vicki A. Anderson
- Murdoch Children's Research InstituteMelbourneVic.Australia
- The Royal Children's HospitalMelbourneVic.Australia
- Department of PaediatricsUniversity of MelbourneMelbourneVic.Australia
| | | | - Daryl Efron
- Murdoch Children's Research InstituteMelbourneVic.Australia
- The Royal Children's HospitalMelbourneVic.Australia
- Department of PaediatricsUniversity of MelbourneMelbourneVic.Australia
| | - Philip Hazel
- Sydney Medical School, Faculty of Medicine and HealthThe University of SydneySydneyNSWAustralia
| | - Tim J. Silk
- Centre for Social and Early Emotional Development (SEED) and School of PsychologyDeakin UniversityGeelongVic.Australia
- Murdoch Children's Research InstituteMelbourneVic.Australia
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Gyngell C, Payne JM, Coghill D. Conceptual clarity needed in ADHD diagnosis and treatment. Lancet Psychiatry 2023; 10:658-660. [PMID: 37295447 DOI: 10.1016/s2215-0366(23)00184-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/03/2023] [Revised: 05/15/2023] [Accepted: 05/16/2023] [Indexed: 06/12/2023]
Affiliation(s)
- Christopher Gyngell
- Department of Paediatrics, University of Melbourne, Melbourne, VIC 3052, Australia; Murdoch Children's Research Institute, Melbourne, VIC, Australia
| | - Jonathan M Payne
- Department of Paediatrics, University of Melbourne, Melbourne, VIC 3052, Australia; Murdoch Children's Research Institute, Melbourne, VIC, Australia
| | - David Coghill
- Department of Paediatrics, University of Melbourne, Melbourne, VIC 3052, Australia; Department of Psychiatry, University of Melbourne, Melbourne, VIC 3052, Australia; Murdoch Children's Research Institute, Melbourne, VIC, Australia.
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Kazda L, McGeechan K, Bell K, Thomas R, Barratt A. Increased diagnosis of attention-deficit hyperactivity disorder despite stable hyperactive/inattentive behaviours: evidence from two birth cohorts of Australian children. J Child Psychol Psychiatry 2023; 64:1140-1148. [PMID: 36065471 PMCID: PMC10952655 DOI: 10.1111/jcpp.13700] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 08/05/2022] [Indexed: 11/30/2022]
Abstract
BACKGROUND Globally, ADHD diagnoses have increased substantially and there is concern that this trend does not necessarily reflect improved detection of cases but that overdiagnosis may be occurring. We directly compared ADHD diagnoses with ADHD-related behaviours and looked for changes across time among Australian children in a large, population-based prospective cohort study. METHODS We conducted a secondary analysis of the Longitudinal Study of Australian Children, including 4,699 children born 1999/2000 (cohort 1) and 4,425 children born 2003/2004 (cohort 2), followed from 4 to 13 years of age. We compared pre-diagnosis parent-reported hyperactive/inattentive behaviour scores between newly diagnosed (incident cases) and undiagnosed children and fitted Cox's proportional hazards regression models to examine the relationship between birth cohorts 1 and 2 and the risk of incident ADHD diagnosis. RESULTS Cumulative incident ADHD diagnoses increased from 4.6% in cohort 1 (born in 1999/2000) to 5.6% in cohort 2 (born in 2003/2004), while hyperactive/inattentive behaviour scores remained steady. Among ADHD diagnosed children, 26.5% (88/334) recorded pre-diagnosis behaviours in the normal range, 27.6% (n = 92) had borderline scores and 45.8% (n = 153) scored within the clinical range. Children born in 2003/2004 were more likely to be diagnosed with ADHD compared with those born in 1999/2000 (aHR = 1.33, 95% CI = 1.06-1.67, p = .012), regardless of their ADHD behaviour score (p = .972). CONCLUSIONS Diagnostic increases were not driven by rises in hyperactive/inattentive behaviours. A quarter of all children with an ADHD diagnosis recorded pre-diagnosis behaviours within the normal range. The increased likelihood of being diagnosed with ADHD for children from the later birth cohort was observed for children across the full range of ADHD-related behaviours.
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Affiliation(s)
- Luise Kazda
- Sydney School of Public Health, Faculty of Medicine and HealthThe University of SydneySydneyNSWAustralia
| | - Kevin McGeechan
- Sydney School of Public Health, Faculty of Medicine and HealthThe University of SydneySydneyNSWAustralia
| | - Katy Bell
- Sydney School of Public Health, Faculty of Medicine and HealthThe University of SydneySydneyNSWAustralia
| | - Rae Thomas
- Institute for Evidence‐Based HealthcareBond UniversityGold CoastQldAustralia
| | - Alexandra Barratt
- Sydney School of Public Health, Faculty of Medicine and HealthThe University of SydneySydneyNSWAustralia
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Kazda L, McGeechan K, Bell K, Thomas R, Barratt A. Association of Attention-Deficit/Hyperactivity Disorder Diagnosis With Adolescent Quality of Life. JAMA Netw Open 2022; 5:e2236364. [PMID: 36227598 PMCID: PMC9561944 DOI: 10.1001/jamanetworkopen.2022.36364] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/03/2022] Open
Abstract
IMPORTANCE Appropriate diagnosis of attention-deficit/hyperactivity disorder (ADHD) can improve some short-term outcomes in children and adolescents, but little is known about the association of a diagnosis with their quality of life (QOL). OBJECTIVE To compare QOL in adolescents with and without an ADHD diagnosis. DESIGN, SETTING, AND PARTICIPANTS This cohort study followed an emulated target trial design using prospective, observational data from the Longitudinal Study of Australian Children, a representative, population-based prospective cohort study with biennial data collection from 2006 to 2018 with 8 years of follow-up (ages 6-7 to 14-15 years). Propensity score matching was used to ensure children with and without ADHD diagnosis were well matched on a wide range of variables, including hyperactive/inattentive (H/I) behaviors. Eligible children were born in 1999 to 2000 or 2003 to 2004 and did not have a previous ADHD diagnosis. All incident ADHD cases were matched with controls. Data were analyzed from July 2021 to January 2022. EXPOSURES Incident parent-reported ADHD diagnosis at age 6 to 7, 8 to 9, 10 to 11, 12 to 13, or 14 to 15. MAIN OUTCOMES AND MEASURES Quality of life at age 14 to 15 was measured with Child Health Utility 9D (CHU9D) and 8 other prespecified, self-reported measures mapped to the World Health Organization's QOL domains. Pooled regression models were fitted for each outcome, with 95% CIs and P values calculated using bootstrapping to account for matching and repeat observations. RESULTS Of 8643 eligible children, a total of 393 adolescents had an ADHD diagnosis (284 [72.2%] boys; mean [SD] age, 10.03 [0.30] years; mean [SD] H/I Strengths and Difficulties Questionnaire score, 5.05 [2.29]) and were age-, sex-, and H/I score-matched with 393 adolescents without ADHD diagnosis at time zero. Compared with adolescents without diagnosis, those with an ADHD diagnosis reported similar QOL on CHU9D (mean difference, -0.03; 95% CI, -0.07 to 0.01; P = .10), general health (mean difference, 0.11; 95% CI, -0.04 to 0.27; P = .15), happiness (mean difference, -0.18; 95% CI, -0.37 to 0.00; P = .05), and peer trust (mean difference, 0.65; 95% CI, 0.00 to 1.30; P = .05). Diagnosed adolescents had worse psychological sense of school membership (mean difference, -2.58; 95% CI, -1.13 to -4.06; P < .001), academic self-concept (mean difference, -0.14; 95% CI, -0.02 to -0.26; P = .02), and self-efficacy (mean difference, -0.20; 95% CI, -0.05 to -0.33; P = .007); displayed more negative social behaviors (mean difference, 1.56; 95% CI, 0.55 to 2.66; P = .002); and were more likely to harm themselves (odds ratio, 2.53; 95% CI, 1.49 to 4.37; P < .001) than adolescents without diagnosis. CONCLUSIONS AND RELEVANCE In this cohort study, ADHD diagnosis was not associated with any self-reported improvements in adolescents' QOL compared with adolescents with similar levels of H/I behaviors but no ADHD diagnosis. ADHD diagnosis was associated with worse scores in some outcomes, including significantly increased risk of self-harm. A large, randomized clinical trial with long-term follow-up is needed.
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Affiliation(s)
- Luise Kazda
- Sydney School of Public Health, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia
| | - Kevin McGeechan
- Sydney School of Public Health, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia
| | - Katy Bell
- Sydney School of Public Health, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia
| | - Rae Thomas
- Institute for Evidence-Based Healthcare, Bond University, Robina, Australia
| | - Alexandra Barratt
- Sydney School of Public Health, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia
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Chen C, Li Z, Liu X, Pan Y, Wu T. Cognitive Control Deficits in Children With Subthreshold Attention-Deficit/Hyperactivity Disorder. Front Hum Neurosci 2022; 16:835544. [PMID: 35360286 PMCID: PMC8963720 DOI: 10.3389/fnhum.2022.835544] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2021] [Accepted: 02/22/2022] [Indexed: 11/13/2022] Open
Abstract
Subthreshold Attention-Deficit/Hyperactivity Disorder (ADHD) is defined as a neurobiological condition with some core inattentive or hyperactive/impulsive symptoms of ADHD which do not meet the full diagnosis clinically. Although it has been well documented that deficits in cognitive control, a high-level cognitive construct closely related to attention, are frequently found among children with ADHD, whether subthreshold ADHD is also associated with similar deficits remains unclear. In this study, we examined the attention functions and the cognitive control capacity (CCC) in children with ADHD (n = 39), those with subthreshold ADHD (n = 34), and typically developing peers (TD, n = 36). The results showed that the ADHD and subthreshold ADHD groups exhibited similar patterns of the impaired executive function of attention (revealed as an augment in flanker conflict effect) and reduced cognitive control capacity, and no significant difference was found between the two groups. These findings suggest that although children with subthreshold ADHD have not met the full criteria of ADHD, they showed reduced efficiency in cognitive control and attention function, similar to children with ADHD.
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Affiliation(s)
- Caiqi Chen
- School of Psychology, South China Normal University, Guangzhou, China
- Key Laboratory of Brain, Cognition and Education Sciences, Ministry of Education, South China Normal University, Guangzhou, China
- Center for Studies of Psychological Application, South China Normal University, Guangzhou, China
- Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou, China
- *Correspondence: Caiqi Chen,
| | - Zhuangyang Li
- Beijing Key Laboratory of Applied Experimental Psychology, Faculty of Psychology, National Demonstration Center for Experimental Psychology Education, Beijing Normal University, Beijing, China
| | - Xiqin Liu
- School of Foreign Languages, South China University of Technology, Guangzhou, China
| | - Yongling Pan
- School of Psychology, South China Normal University, Guangzhou, China
| | - Tingting Wu
- Beijing Key Lab of Learning and Cognition, School of Psychology, Capital Normal University, Beijing, China
- Department of Psychology, Queens College, The City University of New York, New York, NY, United States
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Abstract
This chapter focusses on the benefits and limitations of stimulant medications in the treatment of ADHD. We highlight the key similarities and differences between the different stimulants used to treat ADHD and briefly discuss mechanisms of action, pharmacokinetics, and pharmacodynamics. We will discuss some of the political, ethical, and moral discussions about the use of stimulants including a consideration of the treatment of subsyndromal ADHD and the use of stimulants as cognitive enhancers. We review the comparative efficacy and effectiveness between stimulants and non-pharmacological treatments for ADHD, between stimulant classes and formulations and between stimulant and non-stimulant medications. We discuss the effects on core symptoms, common associated symptoms, cognition, and more distal outcomes including quality of life and functioning and issues related to tolerance, tolerability and adverse effects. Looking at the clinical implications of these findings, we discuss the importance of measurement-based care in the treatment of ADHD. Finally, we will look at the benefits and limitations of stimulants across several different populations and clinical subgroups.
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Affiliation(s)
- David Coghill
- Financial Markets Foundation Chair of Developmental Mental Health, Departments of Paediatrics and Psychiatry, School of Medicine, Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Parkville, VIC, Australia.
- Murdoch Children's Research Institute, Parkville, VIC, Australia.
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Boulton KA, Coghill D, Silove N, Pellicano E, Whitehouse AJO, Bellgrove MA, Rinehart NJ, Lah S, Redoblado‐Hodge M, Badawi N, Heussler H, Rogerson N, Burns J, Farrar MA, Nanan R, Novak I, Goldwater MB, Munro N, Togher L, Nassar N, Quinn P, Middeldorp CM, Guastella AJ. A national harmonised data collection network for neurodevelopmental disorders: A transdiagnostic assessment protocol for neurodevelopment, mental health, functioning and well‐being. JCPP ADVANCES 2021. [DOI: 10.1002/jcv2.12048] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023] Open
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Green CD, Langberg JM. A Review of Predictors of Psychosocial Service Utilization in Youth with Attention-Deficit/Hyperactivity Disorder. Clin Child Fam Psychol Rev 2021; 25:356-375. [PMID: 34498154 DOI: 10.1007/s10567-021-00368-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/24/2021] [Indexed: 11/29/2022]
Abstract
Attention-deficit/hyperactivity disorder (ADHD) is one of the most common childhood disorders. Professional practice guidelines recommend combined treatment, psychopharmacological and psychosocial, for youth with ADHD. There have been multiple reviews of pharmacological prescription practices and utilization, however, less is known about predictors of ADHD psychosocial service utilization. Given the importance of accessing psychosocial treatment in relation to improving functional impairment, this review synthesizes evidence on predictors of ADHD psychosocial intervention utilization in clinic, community, and school settings. Eighteen studies were identified and included in the review. Findings are summarized across informant profile factors, predisposing characteristics, and barriers and facilitators. The most robust findings were for the impact of symptom severity/impairment, the presence of comorbidities, and age on ADHD psychosocial service utilization. Race/ethnicity, sex, parental knowledge of the disorder and insurance coverage were also identified as key factors. Future avenues of research are provided, and clinical and policy implications targeted at reducing psychosocial treatment disparities in youth with ADHD are discussed.
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Affiliation(s)
- Cathrin D Green
- Virginia Commonwealth University, 806 W. Franklin St, Box 842018, Richmond, VA, 23284, USA
| | - Joshua M Langberg
- Virginia Commonwealth University, 806 W. Franklin St, Box 842018, Richmond, VA, 23284, USA.
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