Purpose: Symptoms of attention-deficit/hyperactivity disorder (ADHD) often overlap with and are hidden by those of mood disorders, including major depressive disorder (MDD), resulting in adult ADHD patients being misdiagnosed as MDD. This study aims to examine if diagnosed MDD patients are more likely to exhibit ADHD traits and if the presence of ADHD traits increases the humanistic burden, including the impairment of health-related quality of life (HRQoL), work productivity and activity impairment (WPAI), and health-care resource utilization (HRU), on MDD patients in Japan.
Methods: This study utilized existing National Health and Wellness Survey (NHWS) data. The 2016 Japan NHWS is an internet-based survey comprising a total of 39,000 respondents, including those with MDD and/or ADHD. A randomly selected subset of the respondents responded to the Japanese-version Adult ADHD self-report scale (ASRS-v1.1; ASRS-J) symptom checklist. Respondents were considered ASRS-J-positive if the total score was ≥36. The HRQoL, WPAI, and HRU were assessed.
Results: Among MDD patients (n = 267), 19.9% were screened ASRS-J-positive, while 4.0% of non-MDD respondents (n = 8885) were ASRS-J-positive. There was a significant association between MDD status and ASRS-J status (crude odds-ratio [OR]: 5.9) as well as between MDD status and ADHD-diagnosis status (crude OR: 22.6). MDD patients who were ASRS-J positive experienced significantly lower HRQoL and higher WPAI than those who were ASRS-J negative. Limitations of this study include potential recall bias owing to the self-report nature of the survey and lack of objective confirmation of MDD diagnosis through review of medical records.
Conclusion: This study demonstrated a significant association between MDD status and exhibiting ADHD traits. Adult MDD patients screened ASRS-J-positive experienced significantly higher humanistic burden than patients screened ASRS-J-negative. Our results emphasize the importance of ensuring appropriate screening of ADHD and looking out for potentially hidden ADHD symptoms when diagnosing and treating MDD in adulthood.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10162103 | PMC |
| http://dx.doi.org/10.2147/NDT.S399915 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Application of functional near-infrared spectroscopy and machine learning to predict treatment response after six months in major depressive disorder.
Transl Psychiatry
January 2025
Department of Biomedical Engineering, National University of Singapore, Singapore, Singapore.
Depression treatment responses vary widely among individuals. Identifying objective biomarkers with predictive accuracy for therapeutic outcomes can enhance treatment efficiency and avoid ineffective therapies. This study investigates whether functional near-infrared spectroscopy (fNIRS) and clinical assessment information can predict treatment response in major depressive disorder (MDD) through machine-learning techniques.
View Article and Find Full Text PDFThe role of 15 mA and 77.5 Hz transcranial alternating current stimulation in blood pressure regulation: A post hoc analysis of a randomized controlled trial.
J Affect Disord
January 2025
Division of Neuropsychiatry and Psychosomatics, Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing Psychosomatic Disease Consultation Center, National Center for Neurological Disorders, National Clinical Research Center for Geriatric Diseases, Beijing, China. Electronic address:
Background: Transcranial alternating current stimulation (tACS) at 77.5 Hz and 15 mA, targeting the forehead and mastoid areas, has proven efficacious in patients with major depressive disorder (MDD) by simultaneously stimulating multiple brain nuclei and regions, many of which are critical for blood pressure regulation. This post hoc analysis aimed to assess the potential blood pressure-lowering effects of 77.
View Article and Find Full Text PDFResolving heterogeneity of early-onset major depressive disorder through individual differential structural covariance network analysis.
J Affect Disord
January 2025
Department of Child and Adolescent Psychiatry, Affiliated Brain Hospital, Guangzhou Medical University, Guangzhou, China; The First School of Clinical Medicine, Southern Medical University, Guangzhou, China; Key Laboratory of Neurogenetics and Channelopathies of Guangdong Province and the Ministry of Education of China, Guangzhou Medical University, Guangzhou, China; Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou, China. Electronic address:
Background: Early-onset major depressive disorder (EO-MDD) is characterized by its significant heterogeneity, hindering progress in research. Traditional case-control studies, like group-level structural covariance network, struggle to capture individual heterogeneity among EO-MDD patients.
Methods: In this study, T1-weighted structural magnetic resonance imaging was obtained from 185 participants, including 103 EO-MDD patients and 82 healthy controls.
Increased atherogenicity in mood disorders: a systematic review, meta-analysis and meta-regression.
Neurosci Biobehav Rev
January 2025
Department of Psychiatry, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand; Department of Psychiatry, Faculty of Medicine, Chulalongkorn University and King Chulalongkorn Memorial Hospital, the Thai Red Cross Society, Bangkok, Thailand; Sichuan Provincial Center for Mental Health, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu 610072, China; Key Laboratory of Psychosomatic Medicine, Chinese Academy of Medical Sciences, Chengdu, 610072, China; Cognitive Impairment and Dementia Research Unit, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand; Department of Psychiatry, Medical University of Plovdiv, Plovdiv, Bulgaria; Research Institute, Medical University Plovdiv, Plovdiv, Bulgaria; Research and Innovation Program for the Development of MU - PLOVDIV- (SRIPD-MUP), Creation of a network of research higher schools, National plan for recovery and sustainability, European Union - NextGenerationEU; Kyung Hee University, 26 Kyungheedae-ro, Dongdaemun-gu, Seoul 02447, Korea. Electronic address:
Background: Major depressive disorder (MDD) and bipolar disorder (BD) often coexist with metabolic syndrome. Both are linked to increased atherogenicity and a higher risk of cardiovascular diseases. Nevertheless, a comprehensive analysis of key atherogenic biomarkers in MDD/BD is still lacking.
View Article and Find Full Text PDFDistinction in the function and microstructure of white matter between major depressive disorder and generalized anxiety disorder.
J Affect Disord
January 2025
Department of Neurology, the First Affiliated Hospital of Anhui Medical University, Hefei 230022, China; Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei 230032, China; School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei 230032, China; Collaborative Innovation Center of Neuropsychiatric Disorders and Mental Health, Hefei 230032, China; Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei 230088, China.
Background: Major depressive disorder (MDD) and generalized anxiety disorder (GAD) are two of the leading causes of impairment to human mental health. These two psychiatric disorders overlap in many symptoms and neurobiological features thus difficult to distinguish in some cases.
Methods: We enrolled 102 participants, comprising 40 patients with MDD, 32 patients with GAD and 30 matched healthy controls (HCs), to undergo multimodal magnetic resonance imaging (MRI) scans.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!