Practice Briefs
Major Depressive Disorder
Abstract: Major depressive disorder (MDD), also known as clinical depression, is a prevalent mental health disorder affecting approximately 21 million adults and 5 million adolescents in the United States annually (Brody & Hughes, 2025). It’s a leading cause of disability worldwide, impairing daily life, exacerbating medical conditions, and increasing suicide risk (World Health Organization [WHO], 2025). MMD is diagnosed through clinical interview and mental status examination, client’s self-reported symptoms, observations from relatives or close contacts, and findings from assessment instruments.
Introduction
Major depressive disorder (MDD), also known as clinical depression, is a prevalent mental health disorder affecting approximately 21 million adults and 5 million adolescents in the United States annually (Brody & Hughes, 2025). It’s a leading cause of disability worldwide, impairing daily life, exacerbating medical conditions, and increasing suicide risk (World Health Organization [WHO], 2025). MMD is diagnosed through clinical interview and mental status examination, client’s self-reported symptoms, observations from relatives or close contacts, and findings from assessment instruments. No laboratory test can confirm the disorder, but referral to medical evaluation could exclude physical illnesses with similar symptoms, like diabetes, thyroid disorders, or Parkinson’s disease.
Description of Major Depressive Disorder
MDD is a mood disorder characterized by one or more major depressive episodes without any history of episodes of mood elevation and increased energy (mania or hypomania; WHO, 2025, 2005). Diagnosis of a major depressive episode requires at least five of these symptoms: depressed mood most of the day nearly every day, as indicated by either subjective report; markedly diminished interest or pleasure in all or almost all activities most of the day nearly every day; significant weight loss when not dieting or weight gain; insomnia or hypersomnia nearly every day; psychomotor agitation or retardation nearly every day; fatigue or loss of energy nearly every day; feelings of worthlessness or excessive or inappropriate guilt; diminished ability to think or concentrate, or indecisiveness, nearly every day; and recurrent thoughts of death. Symptoms must be present for the same two-week period (i.e., they cannot occur in one week, pause for weeks at a time, and then occur in a later week) and must include a change from previous functioning, lasting at least two weeks (American Psychiatric Association [APA], 2022).
Diagnosis of MDD requires a severity specifier (mild, moderate, or severe) based on number of symptoms and personal and social functional impairment, ensuring the symptoms are not better explained by normal bereavement, substance use, medical condition, or another disorder. Eight additional specifiers are include anxious distress; mixed features; melancholic features; atypical features; psychotic features; catatonia; peripartum onset; and seasonal pattern (APA, 2022). Each symptom requires severity indication.
Differential Diagnosis
MDD is distinguished from other depressive disorders by duration, timing, and etiology. Persistent depressive disorder involves a chronic depressed mood lasting at least two years (one year in youth) versus MDD’s episodic presentation (minimum two weeks), whereas premenstrual dysphoric disorder is temporally linked to the menstrual cycle. MDD is frequently over-diagnosed due to failure to distinguish it from normal sadness and grief, which typically involve feelings of emptiness and loss that decrease in intensity over days to weeks and occur in waves tied to reminders of loss. In contrast, MDD involves a persistent depressed mood and pervasive unhappiness with diminished positive affect across contexts (APA, 2022).
Neurobiological research indicates MDD reflects disruptions across affective, cognitive, and neurovegetative systems, with multifactorial etiologies spanning genetic, inflammatory, environmental, and psychosocial domains (Bains & Abdijadid, 2023; WHO, 2025).
Prevalence
MDD affects about 21 million U.S. adults a year (8.3%). Prevalence is higher among adult women (10.3%) than adult men (6.2%). It affects 20.1% of youth between ages 12 and 17 and is nearly times times more among girls (29.2%) than boys (11.5%; National Institute of Mental Health [NIMH], 2023). Prevalence is higher in younger adults (18–24) than older adults (≥65), higher in non-Hispanic White than other racial and ethnic groups, and higher in adults with less than a high school education than those with a high school education or a college degree (Brody & Hughes, 2025).
Earlier age of onset is associated with a more severe clinical course over the lifespan, including increased likelihood of recurrence, longer episode duration, greater functional impairment, and higher rates of comorbid conditions. Globally, individuals experiencing MDD onset in adolescence or early adulthood may face cumulative effects on educational attainment, career development, and relationship formation during critical developmental periods (Khademi et al., 2025; Jamet et al., 2024).
MDD remains among one of the most significant contributors to health loss worldwide (Global Burden of Disease Collaborative Network, 2025) and is the leading cause of disability in the United States for ages 15–44 (Substance Abuse and Mental Health Services Administration [SAMHSA], 2023).
Many professionals, including primary-care physicians and mental-health clinicians, have difficulties diagnosing depression (Zierer et al., 2024). Use of accepted assessments, routine mental health checks, and culturally sensitive interviewing is recommended (Bradford et al., 2024; Fekadu et al., 2022; Grung et al., 2024; Habtamu et al., 2023). Current emerging approaches such as two-step machine-learning model (Eder et al., 2025) and use of passive data (e.g., smartphone use, sleep, activity monitoring, communication patterns) are developed to reduce misdiagnosis.
Assessment Strategies
The assessment strategies presented in this section include interview and self-report measures that may be used to screen, diagnose, or track treatment outcomes. Each strategy has been demonstrated to be valid and reliable. The following are important factors to consider when selecting an appropriate assessment.
- Purpose: Screening, diagnosing, or monitoring treatment.
- Population: Age, cultural background, and comorbidities.
- Validity and reliability: Use assessments with strong psychometric properties.
- Practicality: Consider time, ease of administration, and scoring.
- Clinical suggestions: Use screening and diagnostic tools routinely to diagnose and monitor depression; use patient-rated instruments to save time; and use evidence-informed treatments and collaborative care to manage MDD effectively.
Center for Epidemiologic Studies Depression Scale
The Center for Epidemiologic Studies Depression scale (CES-D; Radloff, 1977) is a 20-item scale developed to measure symptoms of depression in community populations. The CES-D has four separate factors: (a) depressive affect, (b) somatic symptoms, (c) positive affect, and (d) interpersonal relations.
Patient Health Questionnaire
The nine-item Patient Health Questionnaire (PHQ-9) is a self-report depression assessment tool, derived from the interview-based Primary Care Evaluation of Mental Disorders (PRIME-MD; Spitzer et al., 1999). Completion takes about five minutes, and it is useful for the diagnosis of major depression in primary care (Richardson et al., 2010; Phelan et al., 2010). The two-item Patient Health Questionnaire (PHQ-2) includes two items from the PHQ-9 and evaluates its presence during the last two weeks (Gilbody et al., 2007; Keenan et al., 2023).
The Hospital Anxiety and Depression Scale
The Hospital Anxiety and Depression Scale (HADS) is a 14-question self-rating scale that measures anxiety and depression in both hospital and community settings (Zigmond & Snaith, 1983). The one-page scale can be completed in a couple minutes (Bjelland et al., 2002; Pignatiello et al., 2021).
Zung Self-Rating Depression Scale
The Zung Self-Rating Depression Scale (Zung SDS) is a 20-item self-report screening questionnaire, covering affective, psychological and somatic symptoms of depression (Zung, 1965). Completion takes about 10 minutes (Thurber et al., 2002). Monitors change over time and can be used with older adults (Jokelainen et al., 2019).
Beck Depression Inventory
The Beck Depression Inventory (BDI-II) is a 21-item self-report inventory measuring the severity of depression, but is not a diagnostic tool (Beck et al., 1996). Completion takes about 10 minutes. Versions exist for other countries (Tung et al., 2023).
Hamilton Depression Rating Scale
The Hamilton Depression Rating Scale (HDRS) has 17 original items; new versions include as many as 29 (Hamilton, 1960). Completion takes 20 minutes. Questions 18–21 can give further information such as diurnal variation or paranoid symptoms.
Quick Inventory of Depressive Symptomatology
The Quick Inventory of Depressive Symptomatology (QIDS) is a 16-item instrument that can be used to assess depression based on the International Classification of Diseases, 11th Revision (ICD-11) diagnostic criteria (Rush et al., 2003; Haley et al., 2023; Robinson & McAllister-Williams, 2024).
Montgomery-Åsberg Depression Rating Scale
The Montgomery-Åsberg Depression Rating Scale (MADRS) is a 10-item instrument used to assess clients’ mood, feelings of unease, sleep, appetite, ability to concentrate, initiative, emotional involvement, pessimism, and zest for life (Montgomery & Åsberg, 1979). Completion takes 20 minutes. There is a version for adolescents (Vestin et el., 2024).
PROMIS Emotional Distress—Depression—Short Form
PROMIS-SF is an eight-item self-report questionnaire for adults assessing depression severity over the past seven days. It measures negative mood, negative views of self, and decreased positive affect (Cella et al., 2019).
Depression, Anxiety, and Stress Scale-21 Items
Depression, Anxiety, and Stress Scale-21 Items (DASS-21) is a 21-item self-report questionnaire designed to measure the severity of emotional distress through three subscales: depression, anxiety, and stress (seven items each). It distinguishes depression (hopelessness, low self-esteem) from anxiety (autonomic arousal, panic) and stress (tension, irritability) over the past week (Lovibond & Lovibond, 1995).
Clinically Useful Depression Outcome Scale
The Clinically Useful Depression Outcome Scale (CUDOS) is useful to identify remission and assess psychosocial impairment, and quality of life (Zimmerman et al., 2008).
Frequency, Intensity, and Burden of Side Effects Rating
The Frequency, Intensity, and Burden of Side Effects Rating (FIBSER) scale is useful to monitor side effects of treatment and interference with functioning. Counselors need to ask about specific concerns (Wisniewski et al., 2006).
The Columbia Suicide Severity Rating Scale
Suicide and suicidal thoughts and behaviors in clients taking antidepressant medications are worldwide concerns. The Columbia Suicide Severity Rating Scale (C-SSRS) is useful to monitor suicidality (Daray et al., 2025).
Treatment Approaches
The following therapies are supported by randomized control trials and other evidence; can be used with individuals and groups, online, or self-help format; are effective with clients of different ages, and backgrounds; and effects are similar or better than pharmacotherapy (Cuijpers et al., 2024; Veterans Affairs and Department of Defense, 2022; Sampson, 2023).
Select treatment using a collaborative process that balances scientific evidence with client-centered factors. Consider evidence, client preferences, symptom complexity, therapist training, prior treatment history, practical constraints, and the potential for a strong therapeutic alliance. Effectiveness of treatment increases when the client understands it, believes in it, and participates in it. Evaluate treatment on an ongoing basis and make adjustments or changes as needed.
Cognitive-Based Therapy
Cognitive behavior therapy (CBT) is a time-limited, collaborative therapy. The goals of CBT are to change thoughts, improve skills, and modify emotional states that contribute to mental disorders. It can be applied using techniques from Beck’s (1967) cognitive therapy; Ellis’s rational emotive behavioral therapy (REBT) model (Ellis, 1973; Ellis & Grieger, 1986); Meichenbaum’s (1977) cognitive behavioral modification; and others (Cuijpers et al., 2023; Fordham et al., 2021; Zalaquett & Stens, 2006; Zalaquett et al., 2019).
Interpersonal Psychotherapy
Interpersonal psychotherapy (IPT) for depression focuses on interpersonal roles and conflicts (Kennedy & Tanenbaum, 2000). It addresses grief, interpersonal disputes, role transitions, and interpersonal deficits. Short-term IPT involves 20 hourlong sessions once a week (Bian et al., 2023; Cuijpers et al., 2024; Zalaquett & Stens, 2006).
Behavior Therapy
Behavioral interventions include contextual approaches based on functional analyses (e.g., contingency management, behavioral activation), social skills training, self-control therapy, problem-solving therapy, and behavioral marital therapy. Therapeutic strategies include self-monitoring, self-reinforcement, graded task assignments, activity scheduling, and social skills through assertiveness training, modeling, role-playing, and relaxation training (Zalaquett et al., 2019; Zalaquett & Stens, 2006).
Brief Dynamic Therapy
Brief dynamic therapy (BDT) explores unconscious processes and processes lifetime developmental issues to facilitate client insight and changes. Its goals are to increase insight into unconscious processes and to institute corrective experiences through interaction with therapists. Transference and countertransference are important (Leichsenring et al., 2023).
Mindfulness-Based Cognitive Therapy
Mindfulness-based cognitive therapy (MBCT) combines elements of CBT with mindfulness-based stress reduction. Eight weeks of MBCT treatment reduces symptoms and relapses (Karrouri et al., 2021).
Problem-Solving Therapy and Solution-Focused Brief Therapy
Problem-solving therapy (PST) and solution-focused brief therapy focus on negative assessments of situations and solving strategies (Karrouri et al., 2021; Rhodes, 2023).
Marital and Family Therapy
Marital and family problems can make people more vulnerable to depression, and marital and family therapy (MFT) addresses these issues. Therapy includes couples or family counseling, as depression occurs in these interpersonal contexts, to facilitate communication and resolution of issues (Karrouri et al., 2021).
Emotion-Focused Therapy
Emotion-focused therapy (EFT) is a short-term (8–20 sessions) structured therapeutic approach to working with individuals, couples, and families. It is based on attachment theory, but includes elements of other theories (Koren et al., 2022).
Emotional Freedom Techniques
Emotional freedom techniques (EFT) is a self-help approach that combines elements of acupressure, CBT, and mindfulness. It involves tapping specific points on the body to release emotional blockages and promote relaxation.
Psychoeducation
This type of intervention educates depressed patients and, with patient permission, family members about depression symptoms and management. It addresses misperceptions about treatment duration and risk of relapse. It improves clinical course, treatment adherence, and psychosocial functioning (Karrouri et al., 2021).
Mobile Apps
Research on mental health apps (MHAs) shows a positive impact of mobile apps on depression symptoms across age groups and populations (Araib et al., 2025; Bae et al., 2023; Firth et al., 2017; Torous et al., 2020).
Other Therapeutic Options
For each of the following recommend client see a psychiatrist or their primary care physician for evaluation and prescription: Antidepressant medication, repetitive transcranial magnetic stimulation (rTMS), vagus nerve stimulation (VNS), deep brain stimulation (DBS), electroconvulsive therapy (ECT), and physical exercise might be appropriate for clients with MDD (Aparicio et al., 2026; Stenmark et al., 2021; Zhao et al., 2025).
Cultural Considerations
There is substantial cross-cultural variation in the prevalence, course, and symptomatology of depression (APA, 2022). These differences underscore the need for culturally humble assessment and culturally responsive treatment approaches. Countries use context-specific clinical guidelines that emphasize cultural humility, addressing power imbalances, and advocating for clients and focus on equity, access, and empowerment through self-awareness, understanding diverse worldviews, advocacy, and proactive action. The Multicultural and Social Justice Counseling Competencies (MSJCC; Ratts et al., 2016) offers a comprehensive framework for counselors to navigate the intersections of personal bias, institutional barriers, and client-centered, culturally relevant healing.
Advocacy
Effective advocacy for MDD involves actions to improve awareness, reduce stigma, expand access to quality care, promote culturally informed education, promote research, center the voices of people who have experienced depression, and influence policies and clinical practice, as demonstrated by the Depression and Bipolar Support Alliance and the National Alliance on Mental Illness.
Conclusion
This Practice Brief reviews the complexities of MDD conceptualizations, diagnosis, and treatment, highlighting substantial cultural differences in prevalence and symptom expression. It advocates for structured and evidence-based diagnostic practices, emphasizes the importance of culturally responsive care, and discusses assessments to improve accuracy. It also outlines key domains for advocacy, including public awareness, access to care, policy influence, and the empowerment of those with lived experience, all aimed at enhancing the quality and reach of depression care in the United States.
Resources
- Depression, American Counseling Association
- Rapid Response by A. T. Burtka, Counseling Today
- Treating Depression by Focusing on Solutions and Acceptance by L. R. Rhodes, Counseling Today
- Seasonal Affective Disorder and the Summertime Blues by S. Cooper, Counseling Today
- Support Resources for Anxiety, Depression, and Related Disorders, Anxiety & Depression Association of America
- Mental Health Resource for Your Clients/Patients, Anxiety & Depression Association of America
- 2026 ICD-10-PCS Official Guidelines for Coding and Reporting, Centers for Medicare and Medicaid Service
- Everything You Need to Know About Depression (Major Depressive Disorder), Healthline
- Resource List, Mental Health America
- Depression in Black Americans, Mental Health America
- Depression in Teens, Mental Health America
- Major Depression, National Institute of Mental Health
- Resource Links, National Network of Depression Centers
- Depression in Adults, UK National Institute for Health and Care Excellence
- Depression in Children and Young People, UK National Institute for Health and Care Excellence
- Depression and Anxiety, UK National Institute for Health and Care Excellence
- International Statistical Classification of Diseases and Related Health Problems (ICD), World Health Organization
- Depression, National Center for Health Statistics
- Clinical Practice Guideline for the Treatment of Depression Across Three Age Cohorts, APA
- DSM-5-TR Online Assessment Measures
- The Center for Epidemiologic Studies Depression Scale Revised (CESD-R)
- Patient Health Questionnaire (PHQ) Screeners
- Hospital Anxiety and Depression Scale (HADS)
- Zung Self-Rating Depression Scale (SDS)
- Beck’s Depression Inventory (BDI-II)
- Hamilton Depression Rating Scale (HDRS)
- Inventory of Depressive Symptomatology (IDS) and Quick Inventory of Depressive Symptomatology (QIDS)
- Montgomery-Asberg Depression Rating Scale (MADRS)
- Patient-Reported Outcomes Measurement Information System (PROMIS)
- Depression Anxiety Stress Scales (DASS)
References
American Psychiatric Association. (2022). Diagnostic and statistical manual of mental disorders (5th ed., text rev.). https://doi.org/10.1176/appi.books.9780890425787
Aparicio, L. V. M., Luethi, M. S., Borrione, L., Moran, N. K. S., Cavendish, B. A., Silva, V. A., Valiengo, L., Goerigk, S., Padberg, F., Razza, L. B., Vidal, K. S. M., & Brunoni, A. R. (2026). The portable transcranial electrical stimulation and internet-based behavioral therapy for major depression study (PSYLECT): Results of the maintenance phase. Journal of Affective Disorders, 394(Part A), Article 120548. https://doi.org/10.1016/j.jad.2025.120548.
Araib, E., Khan, U., Alam, U., & Moazzam, M. (2025). Efficacy of mobile applications in treating depression: systemic review and meta-analysis. BJPsych bulletin, 1–7. Advance online publication. https://doi.org/10.1192/bjb.2025.10119.
Bae, H., Shin, H., Ji, H. G., Kwon, J. S., Kim, H., & Hur, J. W. (2023). App-Based Interventions for Moderate to Severe Depression: A Systematic Review and Meta-Analysis. JAMA network open, 6(11), e2344120. https://doi.org/10.1001/jamanetworkopen.2023.44120.
Bains, N., & Abdijadid, S. (2023). Major depressive disorder. In StatPearls. StatPearls Publishing. https://pubmed.ncbi.nlm.nih.gov/32644504/
Beck, A. T. (1967). Depression: Clinical, experimental, and theoretical aspects. Harper & Row.
Beck, A. T., Steer, R. A., & Brown, G. (1996). Beck Depression Inventory–II (BDI-II) [Database record]. APA PsycTests. https://doi.org/10.1037/t00742-000
Bian, C., Zhao, W.-W., Yan, S.-R., Chen, S.-Y., Cheng, Y., & Zhang, Y.-H. (2023). Effect of interpersonal psychotherapy on social functioning, overall functioning and negative emotions for depression: A meta-analysis. Journal of Affective Disorders, 320, 230–240. https://doi.org/10.1016/j.jad.2022.09.119
Bjelland, I., Dahl, A. A., Haug, T. T., & Neckelmann, D. (2002). The validity of the Hospital Anxiety and Depression Scale: An updated literature review. Journal of Psychosomatic Research, 52(2), 69–77. https://doi.org/10.1016/s0022-3999(01)00296-3
Bradford, A., Meyer, A. N. D., Khan, S., Giardina, T. D., & Singh, H. (2024). Diagnostic error in mental health: A review. BMJ Quality & Safety, 33(10), 663–672. https://doi.org/10.1136/bmjqs-2023-016996
Brody, D. J., & Hughes, J. P. (2025). Depression prevalence in adolescents and adults: United States, August 2021–August 2023 [NCHS Data Brief, no. 527]. U.S. Centers for Disease Control and Prevention. https://dx.doi.org/10.15620/cdc/174579
Cella, D., Choi, S. W., Condon, D. M., Schalet, B., Hays, R. D., Rothrock, N. E., Yount, S., Cook, K. F., Gershon, R. C., Amtmann, D., DeWalt, D. A., Pilkonis, P. A., Stone, A. A., Weinfurt, K., & Reeve, B. B. (2019). PROMIS® Adult Health Profiles: Efficient Short-Form Measures of Seven Health Domains. Value in health: the journal of the International Society for Pharmacoeconomics and Outcomes Research, 22(5), 537–544. https://doi.org/10.1016/j.jval.2019.02.004
Costantini, L., Pasquarella, C., Odone, A., Colucci, M. E., Costanza, A., Serafini, G., Aguglia, A., Belvederi Murri, M., Brakoulias, V., Amore, M., Ghaemi, S. N., & Amerio, A. (2021). Screening for depression in primary care with Patient Health Questionnaire-9 (PHQ-9): A systematic review. Journal of Affective Disorders, 279, 473–483. https://doi.org/10.1016/j.jad.2020.09.131
Cuijpers, P., Miguel, C., Harrer, M., Plessen, C. Y., Ciharova, M., Papola, D., Ebert, D., & Karyotaki, E. (2023). Psychological treatment of depression: A systematic overview of a ‘Meta-Analytic Research Domain’. Journal of Affective Disorders, 335, 141–151. https://doi.org/10.1016/j.jad.2023.05.011
Cuijpers, P., Miguel, C., Harrer, M., Ebert, D. D., & Karyotaki, E. (2024). Interpersonal psychotherapy for depression in low- and middle-income countries: A meta-analysis. In M. Weissman & J. Mootz (Eds.), Interpersonal psychotherapy: A global reach (pp. 28–42). Oxford University Press. https://doi.org/10.1093/oso/9780197652084.003.0004
Daray, F. M., Grendas, L. N., Neupane, S. P., Chiapella, L. C., Fisher, P. W., Gould, M. S., Posner, K., Galfalvy, H., Jaffe, C., & Mann, J. J. (2025). Prediction of fatal and non-fatal suicide attempts by the Columbia Suicide Severity Rating Scale (C-SSRS): Systematic review and meta-analysis. The British Journal of Psychiatry, 1–14. https://www.doi.org/10.1192/bjp.2025.10316
Eder, J., Dong, M. S., Wöhler, M., Simon, M. S., Glocker, C., Pfeiffer, L., Gaus, R., Wolf, J., Mestan, K., Krcmar, H., Koutsouleris, N., Schneider, A., Gensichen, J., Musil, R., & Falkai, P. (2025). A multimodal approach to depression diagnosis: Insights from machine learning algorithm development in primary care. European Archives of Psychiatry and Clinical Neuroscience, 276, 407–420. https://doi.org/10.1007/s00406-025-01990-5
Ellis, A. (1973). Humanistic psychotherapy: The rational-emotive approach. Julian Press.
Ellis, A., & Joffe Ellis, D. (2019). Rational emotive behavior therapy (2nd ed.). American Psychological Association. https://doi.org/10.1037/0000134-000
Fekadu, A., Demissie, M., Birhane, R., Medhin, G., Bitew, T., Hailemariam, M., Minaye, A., Habtamu, K., Milkias, B., Petersen, I., Patel, V., Cleare, A. J., Mayston, R., Thornicroft, G., Alem, A., Hanlon, C., & Prince, M. (2022). Under detection of depression in primary care settings in low and middle-income countries: A systematic review and meta-analysis. Systematic Reviews, 11(1), Article 21. https://doi.org/10.1186/s13643-022-01893-9.
Firth, J., Torous, J., Nicholas, J., Carney, R., Pratap, A., Rosenbaum, S., & Sarris, J. (2017). The efficacy of smartphone-based mental health interventions for depressive symptoms: a meta-analysis of randomized controlled trials. World Psychiatry, 16(3), 287–298. https://doi.org/10.1002/wps.20472.
Fordham, B., Sugavanam, T., Edwards, K., Stallard, P., Howard, R., das Nair, R., Cospey, B., Lee, H., Howick, J., Hemming, K., & Lamb, S. E. (2021). The evidence for cognitive behavioural therapy in any condition, population or context: A meta-review of systematic reviews and panoramic meta-analysis. Psychological Medicine, 51(1), 21–29. https://www.doi.org/10.1017/S0033291720005292.
Gilbody, S., Richards, D., Brealey, S., & Hewitt, C. (2007). Screening for depression in medical settings with the Patient Health Questionnaire (PHQ): A diagnostic meta-analysis. Journal of General Internal Medicine, 22(11), 1596–1602. https://www.doi.org/10.1007/s11606-007-0333-y
Global Burden of Disease Collaborative Network. (2025). Global Burden of Disease Study 2023 (GBD 2023) [Data set]. Institute for Health Metrics and Evaluation. https://ghdx.healthdata.org/gbd-2023
Grung, I., Hjørleifsson, S., Anderssen, N., Bringedal, B., Ruths, S., & Hetlevik, Ø. (2024). Norwegian general practitioners’ perceptions of their depression care— a national survey. BMC primary care, 25(1), Article 184. https://doi.org/10.1186/s12875-024-02434-0
Habtamu, K., Birhane, R., Demissie, M., & Fekadu, A. (2023). Interventions to improve the detection of depression in primary healthcare: Systematic review. Systematic Reviews, 12, Article 25. https://doi.org/10.1186/s13643-023-02177-6
Haley, C. L., Kennard, B. D., Morris, D. W., Bernstein, I. H., Carmody, T., Emslie, G. J., Mayes, T. L., & Rush, A. J. (2023). The Quick Inventory of Depressive Symptomatology, Adolescent version (QIDS-A₁₇): A psychometric evaluation. Neuropsychiatric Disease and Treatment, 19, 1085–1102. https://doi.org/10.2147/NDT.S400591
Hamilton, M. (1960). A rating scale for depression. Journal of Neurology, Neurosurgery & Psychiatry, 23, 56–62. https://www.doi.org/10.1136/jnnp.23.1.56
Jokelainen, J., Timonen, M., Keinänen-Kiukaanniemi, S., Härkönen, P., Jurvelin, H., & Suija, K. (2019). Validation of the Zung self-rating depression scale (SDS) in older adults. Scandinavian Journal of Primary Health Care, 37(3), 353–357. https://doi.org/10.1080/02813432.2019.1639923
Jamet, C., Dubertret, C., Le Strat, Y., & Tebeka, S. (2024). Age of onset of major depressive episode and association with lifetime psychiatric disorders, health-related quality of life and impact of gender: A cross sectional and retrospective cohort study. Journal of affective disorders, 363, 300–309. https://doi.org/10.1016/j.jad.2024.07.017
Khademi, A., Kamyab, P., Kouchaki, H., Kazemi, M., & Goharinia, M. (2025). Age of onset, sociodemographic, and clinical predictors of depression: a population-based study in Rural Southern Iran. BMC public health, 25(1), 1825. https://doi.org/10.1186/s12889-025-22993-w
Karrouri, R., Hammani, Z., Benjelloun, R., & Otheman, Y. (2021). Major depressive disorder: Validated treatments and future challenges. World Journal of Clinical Cases, 9(31), 9350–9367. https://doi.org/10.12998/wjcc.v9.i31.9350
Keenan, L., Ingram, Y., Green, B., Daltry, R., & Harenberg, S. (2023). Validation and clinical utility of the Patient Health Questionnaire-9 and Center for Epidemiologic Studies Depression Scale as depression screening tools in collegiate student-athletes. Journal of Athletic Training, 58(10), 821–830. https://doi.org/10.4085/1062-6050-0558.22
Kennedy, G. J., & Tanenbaum, S. (2000). Psychotherapy with older adults. American Journal of Psychotherapy, 54, 386–407. https://doi.org/10.1176/appi.psychotherapy.2000.54.3.386
Koren, R., Woolley, S. R., Danis, I., and Török, S. (2022). Training therapists in emotionally focused therapy: A longitudinal and cross-sectional analysis. Journal of Marital and Family Therapy, 48(3), 709–725. https://www.doi.org/10.1111/jmft.12495
Kroenke, K., Spitzer, R. L., & Williams, J. B. (2003). The Patient Health Questionnaire-2: Validity of a two-item depression screener. Medical Care, 41(11), 1284–1292. https://www.doi.org/10.1097/01.MLR.0000093487.78664.3C
Leichsenring, F., Abbass, A., Heim, N., Keefe, J. R., Kisely, S., Luyten, P., Rabung, S., & Steinert, C. (2023). The status of psychodynamic psychotherapy as an empirically supported treatment for common mental disorders – an umbrella review based on updated criteria. World Psychiatry, 22(2), 286–304. https://www.doi.org/10.1002/wps.21104
Lovibond, S. H., & Lovibond, P. F. (1995). Manual for the Depression Anxiety Stress Scales (2nd ed.). Psychology Foundation of Australia.
Meichenbaum, D. (1977). Cognitive behavior modification: An integrative approach. Plenum.
Montgomery, S. A., & Åsberg, M. (1979). A new depression scale designed to be sensitive to change. British Journal of Psychiatry, 134(4), 382–389. doi:10.1192/bjp.134.4.382
National Institute of Mental Health. (2023). Major depression [Information page]. U.S. Department of Health and Human Services, National Institutes of Health. https://www.nimh.nih.gov/health/statistics/major-depression
Phelan, E., Williams, B., Meeker, K., Bonn, K., Frederick, J., LoGerfo, J., & Snowden, M. (2010). A study of the diagnostic accuracy of the PHQ-9 in primary care elderly. BMC Family Practice, 11, Article 63. https://www.doi.org/10.1186/1471-2296-11-63
Pignatiello, G. A., Townsend, A. L., & Hickman, R. L., Jr. (2021). Structural validity of the Hospital Anxiety and Depression Scale among family members of critically ill patients. American Journal of Critical Care, 30(3), 212–220. https://doi.org/10.4037/ajcc2021214
Radloff, L. S. (1977). The CES-D Scale: A self-report depression scale for research in the general population. Applied Psychological Measurement, 1(3), 385–401. https://www.doi.org/10.1177/014662167700100306
Ratts, M. J., Singh, A. A., Nassar‐McMillan, S., Butler, S. K., & McCullough, J. R. (2016). Multicultural and Social Justice Counseling Competencies: Guidelines for the counseling profession. Journal of Multicultural Counseling and Development, 44(1), 28–48. https://doi.org/10.1002/jmcd.12035
Rhodes, L. R. (2023). Treating depression by focusing on solutions and acceptance. Counseling Today. https://www.counseling.org/publications/counseling-today-magazine/article-archive/article/legacy/treating-depression-by-focusing-on-solutions-and-acceptance#
Richardson, L. P., McCauley, E., Grossman, D. C., McCarty, C. A., Richards, J., Russo, J. E., Rockhill, C., & Katon, W. (2010). Evaluation of the Patient Health Questionnaire-9 Item for detecting major depression among adolescents. Pediatrics, 126(6), 1117–1123. https://www.doi.org/10.1542/peds.2010-0852
Robinson, L. J., & McAllister-Williams, R. H. (2024). Improving the reading ease of the Quick Inventory of Depressive Symptomatology-Self Report (QIDS-SR): Development and psychometric properties of an ‘Accessible English’ version. Journal of Psychiatric Research, 177, 53–58. https://doi.org/10.1016/j.jpsychires.2024.06.027
Rush, A. J., Trivedi, M. H., Ibrahim, H. M., Carmody, T. J., Arnow, B., Klein, D. N., Markowitz, J. C., Ninan, P. T., Kornstein, S., Manber, R., Thase, M. E., Kocsis, J. H., & Keller, M. B. (2003). The 16-Item Quick Inventory of Depressive Symptomatology (QIDS), Clinician Rating (QIDS-C), and Self-Report (QIDS-SR): A psychometric evaluation in patients with chronic major depression. Biological Psychiatry, 54(5), 573–583. https://doi.org/10.1016/s0006-3223(02)01866-8
Sampson, E. (2023). Implementing digital cognitive-behavioral therapy for major depressive disorder in routine psychiatric appointments: A pilot project in a rural population. Journal of Psychosocial Nursing and Mental Health Services, 61(10), 44–51. https://doi.org/10.3928/02793695-20230424-01
Spitzer, R. L., Kroenke, K., Williams. J. B. W. (1999). Validation and utility of a self-report version of PRIME-MD: The PHQ primary care study. JAMA, 282(18), 1737–1744. https://www.doi.org/10.1001/jama.282.18.1737
Stenmark, L., Kellner, C. H., Landén, M., Larsson, I., Msghina, M., & Nordenskjöld, A. (2021). Electroconvulsive therapy and psychiatric readmission in major depressive disorder—A population‐based register study. Acta Psychiatrica Scandinavica, 144(6), 599–625. https://doi.org/10.1111/acps.13373
Substance Abuse and Mental Health Services Administration. (2023). Key substance use and mental health indicators in the United States: Results from the 2022 National Survey on Drug Use and Health (HHS Publication No. PEP23-07-01-006, NSDUH Series H-58). Center for Behavioral Health Statistics and Quality, Substance Abuse and Mental Health Services Administration. https://www.samhsa.gov/data/report/2022-nsduh-annual-national-report
Thurber, S., Snow, M., & Honts, C. R. (2002). The Zung Self-Rating Depression Scale: Convergent validity and diagnostic discrimination. Assessment, 9(4), 401–405. http://dx.doi.org/10.1177/1073191102238471
Torous, J., Firth, J., Huckvale, K., Larsen, M. E., Cosco, T. D., Carney, R., Chan, S., Pratap, A., Yellowlees, P., Wykes, T., & Schuster, S. M. (2020). Mobile apps for mental health issues: Meta-review of meta-analyses. JMIR mHealth and uHealth, 8(5), e17458. https://doi.org/10.2196/17458.
Tung, V. S., Thong, N.-V., Mai, N.-T., P., Linh, L.-T., T., Son, D. C., Ha, T.-T., T., Hoa, N.-T., Long, N. T., & Tuan, N.-V. (2023). Diagnostic value in screening severe depression of the Hamilton Depression Rating Scale, Hamilton Anxiety Rating Scale, Beck Depression Inventory Scale, and Zung’s Self-Rating Anxiety Scale among patients with recurrent depression disorder. Acta Informatica Medica, 31(4), 249–253. https://doi.org/10.5455/aim.2023.31.249-253
Vestin, M., Blomqvist, I., Henje, E., & Dennhag, I. (2024). Psychometric validation of the Montgomery-Åsberg Depression Rating Scale-Youth (MADRS-Y) in a clinical sample. Nordic Journal of Psychiatry, 78(6), 525–532. https://doi.org/10.1080/08039488.2024.2374417
VA/DoD Clinical Practice Guideline. (2022). VA/DoD clinical practice guideline for the management of major depressive disorder (MDD). Department of Veterans Affairs. https://www.healthquality.va.gov/guidelines/MH/mdd/
Wisniewski, S. R., Rush, A. J., Balasubramani, G. K., Trivedi, M. H., Nierenberg, A. A., & STARD Investigators (2006). Self-rated global measure of the frequency, intensity, and burden of side effects. Journal of psychiatric practice, 12(2), 71–79. https://doi.org/10.1097/00131746-200603000-00002
World Health Organization. (2025, August 29). Depressive disorder (depression) [Fact Sheet]. https://www.who.int/news-room/fact-sheets/detail/depression
World Health Organization. (2005). ICD-10: International statistical classification of diseases and related health problems (10th rev., 2nd ed.) [Electronic Resource] https://iris.who.int/handle/10665/43110
Zalaquett, C. P., & Stens, A. N. (2006). Psychosocial treatments for major depression and dysthymia in older adults: A review of the research literature. Journal of Counseling & Development, 84(2), 192–201. https://doi.org/10.1002/j.1556-6678.2006.tb00395.x
Zalaquett, C. P., & Ivey, A., Ivey, M. B. (2019). Essential theories of counseling and psychotherapy: Everyday practice in our diverse world. Cognella Academic Publishing.
Zhao, T., Schiweck, C., Jamalambadi, H., Meyer, K., Brandt, E., Schneider, M., Aichholzer, M., Qubad, M., Bouzouina, A., Schillo, S., Hannsen, R., Sonkusare, S., Kingslake, J., Beckenstrom, A., Repple, J., Reif-Leonhard, C., Hahn, T., Reif, A., & Thanarajah, S. E. (2025). Transcutaneous vagus nerve stimulation improves emotional processing. Journal of Affective Disorders, 372, 96–105. https://www.doi.org/10.1016/j.jad.2024.11.077
Zierer, C., Behrendt, C., & Lepach-Engelhardt, A. C. (2024). Digital biomarkers in depression: A systematic review and call for standardization and harmonization of feature engineering. Journal of Affective Disorders, 356, 438–449. https://doi.org/10.1016/j.jad.2024.03.163
Zigmond, A. S., & Snaith, R. P. (1983). The Hospital Anxiety and Depression Scale. Acta Psychiatrica Scandinavica, 67(6), 361–370. https://doi.org/10.1111/j.1600-0447.1983.tb09716.x
Zimmerman, M., Chelminski, I., McGlinchey, J. B., & Posternak, M. A. (2008). A clinically useful depression outcome scale. Comprehensive Psychiatry, 49(2), 131–140. https://doi.org/10.1016/j.comppsych.2007.10.006
Zung, W. W. K. (1965). A self-rating depression scale. Archives of General Psychiatry, 12(1), 63–70. https://doi.org/10.1001/archpsyc.1965.01720310065008
To Cite This Practice Brief:
Zalaquett, C. P., Chatters, S., & Shaikh, S. (2026, March). Major depressive disorder [Practice Brief]. Counseling Nexus. https://doi.org/10.63134/OJVF2304