Cited by 487Mental Health Treatment and AccessEmployment and Welfare StudiesSchizophrenia research and treatment

The DOI matches its Crossref record; 41 of the 41 references it cites were found in a registry or an index.

Individual and Societal Effects of Mental Disorders on Earnings in the United States: Results From the National Comorbidity Survey Replication

Open access

Kessler, Ronald C., Heeringa, Steven, Lakoma, Matthew D., Petukhova, Maria, Rupp, Agnes E., Schoenbaum, Michael, Wang, Philip S., Zaslavsky, Alan M.·2008·American Journal of Psychiatry

DOI 10.1176/appi.ajp.2008.08010126PMC PMC2410028

Open this paper in CoChat — free account

Abstract

OBJECTIVE: The purpose of this report was to update previous estimates of the association between mental disorders and earnings. Current estimates for 2002 are based on data from the National Comorbidity Survey Replication (NCS-R). METHOD: The NCS-R is a nationally representative survey of the U.S. household population that was administered from 2001 to 2003. Following the same basic approach as prior studies, with some modifications to improve model fitting, the authors predicted personal earnings in the 12 months before interview from information about 12-month and lifetime DSM-IV mental disorders among respondents ages 18-64, controlling for sociodemographic variables and substance use disorders. The authors used conventional demographic rate standardization methods to distinguish predictive effects of mental disorders on amount earned by persons with earnings from predictive effects on probability of having any earnings. RESULTS: A DSM-IV serious mental illness in the preceding 12 months significantly predicted reduced earnings. Other 12-month and lifetime DSM-IV/CIDI mental disorders did not. Respondents with serious mental illness had 12-month earnings averaging $16,306 less than other respondents with the same values for control variables ($26,435 among men, $9,302 among women), for a societal-level total of $193.2 billion. Of this total, 75.4% was due to reduced earnings among mentally ill persons with any earnings (79.6% men, 69.6% women). The remaining 24.6% was due to reduced probability of having any earnings. CONCLUSIONS: These results add to a growing body of evidence that mental disorders are associated with substantial societal-level impairments that should be taken into consideration when making decisions about the allocation of treatment and research resources.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

Integrity signals

Registry

Crossref · 10.1176/appi.ajp.2008.08010126

Cites

41 of 41 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Applied logistic regression
(1990) · Choice Reviews Online · doi:10.5860/choice.27-3338 · Cited by 35,305
Lifetime Prevalence and Age-of-Onset Distributions of DSM-IV Disorders in the National Comorbidity Survey Replication
Kessler, R. C., Berglund, P., Demler, O., Jin, R., Merikangas, K. R., & Walters, E. E. (2005) · Archives of General Psychiatry · doi:10.1001/archpsyc.62.6.593 · Cited by 20,391
Self-citation
Applied Logistic Regression
Hosmer, D. W., & Lemeshow, S. (2000) · doi:10.1002/0471722146 · Cited by 20,302
Generalized Linear Models
McCullagh, P., & Nelder, J. A. (1989) · doi:10.1007/978-1-4899-3242-6 · Cited by 16,836
Lifetime and 12-Month Prevalence of DSM-III-R Psychiatric Disorders in the United States: Results From the National Comorbidity Survey
Kessler, R. C. (1994) · Archives of General Psychiatry · doi:10.1001/archpsyc.1994.03950010008002 · Cited by 12,370
Self-citation
Prevalence, Severity, and Comorbidity of 12-Month DSM-IV Disorders in the National Comorbidity Survey Replication
Kessler, R. C., Chiu, W. T., Demler, O., & Walters, E. E. (2005) · Archives of General Psychiatry · doi:10.1001/archpsyc.62.6.617 · Cited by 12,052
Self-citation
The World Mental Health (WMH) Survey Initiative version of the World Health Organization (WHO) Composite International Diagnostic Interview (CIDI)
Kessler, R. C., & Üstün, T. B. (2004) · International Journal of Methods in Psychiatric Research · doi:10.1002/mpr.168 · Cited by 4,771
Self-citation
Problems with Instrumental Variables Estimation When the Correlation Between the Instruments and the Endogeneous Explanatory Variable is Weak
Bound, J., Jaeger, D. A., & Baker, R. (1995) · Journal of the American Statistical Association · doi:10.1080/01621459.1995.10476536 · Cited by 3,898
Structured Clinical Interview for DSM-IV Axis I Disorders
Spitzer, R. L., First, M. B., & Gibbon, M. (1997) · Medical Entomology and Zoology · Cited by 3,582
Twelve-Month Use of Mental Health Services in the United States: Results From the National Comorbidity Survey Replication
Wang, P. S., Lane, M., Olfson, M., Pincus, H. A., Wells, K. B., & Kessler, R. C. (2005) · Archives of General Psychiatry · doi:10.1001/archpsyc.62.6.629 · Cited by 2,695
Self-citation

Show all 41 references

Research works printed but not linked: 9

Harwood H, 1992, Livermore G: The Economic Cost of Mental Illness
First MB, 2002, Gibbon M
1993, Fed Regist, 58, 29422
Bureau of Labor Statistics, 2005, Employer Costs for Employee Compensation-March
US Census Bureau, 2000, Annual Estimates of the Population by Selected Age Groups and Sex for the United States
Druss BG, Wang PS
Mark TL, 1993, Ryan K: National Expenditures for Mental Health Services and Substance Abuse Treatment
Hu TW, 2006, J Ment Health Policy Econ, 9, 3
Bound J, 1995, J Am Stat Assoc, 90, 443

Sorted by citations

The Epidemiology of Depression Across Cultures
Kessler, R. C., & Bromet, E. J. (2013) · Annual Review of Public Health · doi:10.1146/annurev-publhealth-031912-114409 · Cited by 2,657
Self-citation
Untitled work
(2009) · Cited by 2,013
Nature and mental health: An ecosystem service perspective
Bratman, G. N., Anderson, C. B., Berman, M. G., Cochran, B., de Vries, S., Flanders, J., Folke, C., Frumkin, H., Gross, J. J., Hartig, T., et al. (2019) · Science Advances · doi:10.1126/sciadv.aax0903 · Cited by 2,001
Rebooting psychotherapy research and practice to reduce the burden of mental illness
Kazdin, A. E., & Blase, S. L. (2011) · Perspectives on Psychological Science · doi:10.1177/1745691610393527 · Cited by 1,254
Validity study of the K6 scale as a measure of moderate mental distress based on mental health treatment need and utilization
Prochaska, J. J., Sung, H., Max, W., Shi, Y., & Ong, M. (2012) · International Journal of Methods in Psychiatric Research · doi:10.1002/mpr.1349 · Cited by 942
The Costs of Depression
Kessler, R. C. (2012) · Psychiatric Clinics of North America · doi:10.1016/j.psc.2011.11.005 · Cited by 871
Self-citation
Relationship between household income and mental disorders: findings from a population-based longitudinal study.
Sareen, J., Afifi, T., McMillan, K. A., & Asmundson, G. (2011) · Archives of General Psychiatry · doi:10.1001/archgenpsychiatry.2011.15 · Cited by 672
Assessing the economic costs of serious mental illness
Insel, T. R. (2008) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2008.08030366 · Cited by 487
Novel Models for Delivering Mental Health Services and Reducing the Burdens of Mental Illness
Kazdin, A. E., & Rabbitt, S. M. (2013) · Clinical Psychological Science · doi:10.1177/2167702612463566 · Cited by 465
A hierarchical causal taxonomy of psychopathology across the life span.
Lahey, B. B., Krueger, R. F., Rathouz, P. J., Waldman, I. D., & Zald, D. H. (2017) · Psychological Bulletin · doi:10.1037/bul0000069 · Cited by 443
Translating Scientific Opportunity Into Public Health Impact: A Strategic Plan for Research on Mental Illness
Insel, T. R. (2009) · Archives of General Psychiatry · doi:10.1001/archgenpsychiatry.2008.540 · Cited by 459
Geographic Variation in the Supply of Selected Behavioral Health Providers
Andrilla, C. H. A., Patterson, D. G., Garberson, L. A., Coulthard, C., & Larson, E. H. (2018) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2018.01.004 · Cited by 419
Machine Learning in Mental Health: A Systematic Review of the HCI Literature to Support the Development of Effective and Implementable ML Systems
Thieme, A., Belgrave, D., & Doherty, G. (2020) · ACM Transactions on Computer-Human Interaction · doi:10.1145/3398069 · Cited by 406
Mental illness surveillance among adults in the United States.
Reeves, W. C., Strine, T. W., Pratt, L. A., Thompson, W., Ahluwalia, I. B., Dhingra, S. S., McKnight-Eily, L. R., Harrison, L., D’Angelo, D. V., Williams, L., et al. (2011) · PubMed · Cited by 387
Societal costs of insomnia
Léger, D., & Bayon, V. (2010) · Sleep Medicine Reviews · doi:10.1016/j.smrv.2010.01.003 · Cited by 376
The search for imaging biomarkers in psychiatric disorders
Abi-Dargham, A., & Horga, G. (2016) · Nature Medicine · doi:10.1038/nm.4190 · Cited by 311
Poverty and Mental Health: How Do Low‐Income Adults and Children Fare in Psychotherapy?
Santiago, C. D., Kaltman, S. I., & Miranda, J. M. (2012) · Journal of Clinical Psychology · doi:10.1002/jclp.21951 · Cited by 269
Moving from Virtual Reality Exposure-Based Therapy to Augmented Reality Exposure-Based Therapy: A Review
Baus, O., & Bouchard, S. (2014) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2014.00112 · Cited by 260
Internet-based mindfulness treatment for anxiety disorders: a randomized controlled trial
Boettcher, J., Åström, V., Påhlsson, D., Schenström, O., Andersson, G., & Carlbring, P. (2014) · Behavior Therapy · doi:10.1016/j.beth.2013.11.003 · Cited by 245
Youth Mental Health Should Be a Top Priority for Health Care in Canada
Malla, A., Shah, J., Iyer, S., Boksa, P., Joober, R., Andersson, N., Lal, S., & Fuhrer, R. (2018) · The Canadian Journal of Psychiatry · doi:10.1177/0706743718758968 · Cited by 232
Burden of psychiatric disorder in young adulthood and life outcomes at age 30
Gibb, S. J., Fergusson, D. M., & Horwood, L. J. (2010) · British Journal of Psychiatry · doi:10.1192/bjp.bp.109.076570 · Cited by 240
Association of Family Income Supplements in Adolescence With Development of Psychiatric and Substance Use Disorders in Adulthood Among an American Indian Population
Costello, E. J. (2010) · JAMA · doi:10.1001/jama.2010.621 · Cited by 233
Mental health stigma update: a review of consequences
Sickel, A. E., Seacat, J. D., & Nabors, N. A. (2014) · Advances in Mental Health · doi:10.1080/18374905.2014.11081898 · Cited by 224
Mental Health and Productivity at Work: Does What You Do Matter?
Bubonya, M., Cobb‐Clark, D. A., & Wooden, M. (2016) · Labour Economics · doi:10.1016/j.labeco.2017.05.001 · Cited by 266
Affective and Content Analysis of Online Depression Communities
Nguyen, T., Phung, D., Dao, B., Venkatesh, S., & Berk, M. (2014) · IEEE Transactions on Affective Computing · doi:10.1109/taffc.2014.2315623 · Cited by 231
Associations of serious mental illness with earnings: results from the WHO World Mental Health surveys
Levinson, D., Lakoma, M. D., Petukhova, M., Schoenbaum, M., Zaslavsky, A. M., Angermeyer, M., Borges, G., Bruffaerts, R., de Girolamo, G., de Graaf, R., et al. (2010) · British Journal of Psychiatry · doi:10.1192/bjp.bp.109.073635 · Cited by 211
Self-citation
Grand Challenges: Integrating Mental Health Care into the Non-Communicable Disease Agenda
Ngo, V. K., Rubinstein, A., Ganju, V. K., Kanellis, P., Loza, N., Rabadan‐Diehl, C., & Daar, A. S. (2013) · PLoS Medicine · doi:10.1371/journal.pmed.1001443 · Cited by 204
The Impact of National Health Care Reform on Adults With Severe Mental Disorders
Garfield, R. L., Zuvekas, S. H., Lave, J. R., & Donohue, J. M. (2011) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2010.10060792 · Cited by 200
A multinational study of mental disorders, marriage, and divorce
Breslau, J., Miller, E., Jin, R., Sampson, N. A., Alonso, J., Andrade, L. H., Bromet, E. J., de Girolamo, G., Demyttenaere, K., Fayyad, J., et al. (2011) · Acta Psychiatrica Scandinavica · doi:10.1111/j.1600-0447.2011.01712.x · Cited by 198
Self-citation
Mental Health on the Go: Effects of a Gamified Attention-Bias Modification Mobile Application in Trait-Anxious Adults
Dennis, T. A., & O’Toole, L. J. (2014) · Clinical Psychological Science · doi:10.1177/2167702614522228 · Cited by 197
Psychedelics: Where we are now, why we got here, what we must do
Belouin, S. J., & Henningfield, J. E. (2018) · Neuropharmacology · doi:10.1016/j.neuropharm.2018.02.018 · Cited by 218
Defining and Measuring Functional Recovery from Depression
Greer, T. L., Kurian, B. T., & Trivedi, M. H. (2010) · CNS Drugs · doi:10.2165/11530230-000000000-00000 · Cited by 222
Adult Neurogenesis and Mental Illness
Schoenfeld, T. J., & Cameron, H. A. (2014) · Neuropsychopharmacology · doi:10.1038/npp.2014.230 · Cited by 192
Major depression can be prevented.
Muñoz, R. F., Beardslee, W. R., & Leykin, Y. (2012) · American Psychologist · doi:10.1037/a0027666 · Cited by 174
Restoring function in major depressive disorder: A systematic review
Sheehan, D. V., Nakagome, K., Asami, Y., Pappadopulos, E. A., & Boucher, M. (2017) · Journal of Affective Disorders · doi:10.1016/j.jad.2017.02.029 · Cited by 182
Mental disorders and long-term labour market outcomes: nationwide cohort study of 2 055 720 individuals
Hakulinen, C., Elovainio, M., Arffman, M., Lumme, S., Pirkola, S., Keskimäki, I., Manderbacka, K., & Böckerman, P. (2019) · Acta Psychiatrica Scandinavica · doi:10.1111/acps.13067 · Cited by 185
THE EFFECT OF MENTAL HEALTH ON EMPLOYMENT: EVIDENCE FROM AUSTRALIAN PANEL DATA
Frijters, P., Johnston, D. W., & Shields, M. A. (2014) · Health Economics · doi:10.1002/hec.3083 · Cited by 176
Employment Status of People With Mental Illness: National Survey Data From 2009 and 2010
Luciano, A., & Meara, E. R. (2014) · Psychiatric Services · doi:10.1176/appi.ps.201300335 · Cited by 177
Early life shocks and mental health: The long-term effect of war in Vietnam
Singhal, S. (2018) · Journal of Development Economics · doi:10.1016/j.jdeveco.2018.06.002 · Cited by 160
Long-term effects of mental disorders on employment in the National Comorbidity Survey ten-year follow-up
Mojtabai, R., Stuart, E. A., Hwang, I. H., Susukida, R., Eaton, W. W., Sampson, N. A., & Kessler, R. C. (2015) · Social Psychiatry and Psychiatric Epidemiology · doi:10.1007/s00127-015-1097-z · Cited by 169
Self-citation
Improving Outcome of Psychosocial Treatments by Enhancing Memory and Learning
Harvey, A. G., Lee, J., Williams, J. J., Hollon, S. D., Walker, M. P., Thompson, M. A., & Smith, R. (2014) · Perspectives on Psychological Science · doi:10.1177/1745691614521781 · Cited by 169
Internet-based guided self-help for several anxiety disorders: A randomized controlled trial comparing a tailored with a standardized disorder-specific approach.
Berger, T., Boettcher, J., & Caspar, F. (2014) · Psychotherapy · doi:10.1037/a0032527 · Cited by 158
Mental illness stigma as a mediator of differences in Caucasian and South Asian college students' attitudes toward psychological counseling.
Loya, F., Reddy, R., & Hinshaw, S. P. (2010) · Journal of Counseling Psychology · doi:10.1037/a0021113 · Cited by 199
The impact of mental health literacy, stigma, and social support on attitudes toward mental health help-seeking
Jung, H., von Sternberg, K. L., & Davis, K. E. (2017) · International Journal of Mental Health Promotion · doi:10.1080/14623730.2017.1345687 · Cited by 164
Expanding a Measure of Mental Health Literacy: Development and Validation of a Multicomponent Mental Health Literacy Measure
Jung, H., von Sternberg, K., & Davis, K. (2016) · Psychiatry Research · doi:10.1016/j.psychres.2016.06.034 · Cited by 154
The Economic Implications of Non-Communicable Disease for India
Mahal, A. S., Karan, A., & Engelgau, M. M. (2010) · World Bank, Washington, DC eBooks · doi:10.1596/13649 · Cited by 154
Persisting Decline in Depression Treatment After FDA Warnings
Libby, A. M., Orton, H. D., & Valuck, R. J. (2009) · Archives of General Psychiatry · doi:10.1001/archgenpsychiatry.2009.46 · Cited by 153
Treating cockroach phobia using a serious game on a mobile phone and augmented reality exposure: A single case study
Botella, C., Bretón-López, J., Quero, S., Baños, R., García-Palacios, A., Zaragozá, I., & Alcañíz, M. (2011) · Computers in Human Behavior · doi:10.1016/j.chb.2010.07.043 · Cited by 152
Long-Term Outcomes of Adolescents With Juvenile-Onset Fibromyalgia in Early Adulthood
Kashikar-Zuck, S., Cunningham, N., Sil, S., Bromberg, M. H., Lynch-Jordan, A. M., Strotman, D., Peugh, J., Noll, J., Ting, T. V., Powers, S. W., et al. (2014) · Pediatrics · doi:10.1542/peds.2013-2220 · Cited by 135
Early-life mental disorders and adult household income in the World Mental Health Surveys
Kawakami, N., Abdulghani, E. A., Alonso, J., Bromet, E. J., Bruffaerts, R., Caldas-de-Almeida, J. M., Chiu, W. T., de Girolamo, G., de Graaf, R., Fayyad, J., et al. (2012) · Biological Psychiatry · doi:10.1016/j.biopsych.2012.03.009 · Cited by 134
Self-citation
Sidman Instrumental Avoidance Initially Depends on Lateral and Basal Amygdala and Is Constrained by Central Amygdala-Mediated Pavlovian Processes
Lázaro‐Muñoz, G., LeDoux, J. E., & Cain, C. K. (2010) · Biological Psychiatry · doi:10.1016/j.biopsych.2009.12.002 · Cited by 150
Ancient anxiety pathways influence drosophila defense behaviors
Mohammad, F., Aryal, S., Ho, J., Stewart, J. C., Norman, N. A., Tan, T. L., Eisaka, A., & Claridge-Chang, A. (2016) · Current Biology · doi:10.1016/j.cub.2016.02.031 · Cited by 130
Mental health awareness training (MHAT): The development and evaluation of an intervention for workplace leaders.
Dimoff, J. K., Kelloway, E. K., & Burnstein, M. D. (2015) · International Journal of Stress Management · doi:10.1037/a0039479 · Cited by 145
Pluripotent stem cells in neuropsychiatric disorders
Soliman, M. A., Aboharb, F., Zeltner, N., & Studer, L. (2017) · Molecular Psychiatry · doi:10.1038/mp.2017.40 · Cited by 132
Routledge Handbook of Physical Activity and Mental Health
Panteleimon Ekkekakis, A. (2013) · Routledge eBooks · doi:10.4324/9780203132678 · Cited by 128
Effects of Psychiatric Disorders on Labor Market Outcomes: A Latent Variable Approach Using Multiple Clinical Indicators
Banerjee, S., Chatterji, P., & Lahiri, K. (2015) · Health Economics · doi:10.1002/hec.3286 · Cited by 131
The Great Recession and Mental Health in the United States
Forbes, M. K., & Krueger, R. F. (2019) · Clinical Psychological Science · doi:10.1177/2167702619859337 · Cited by 122
‘Earning and learning’ in those with psychotic disorders: The second Australian national survey of psychosis
Waghorn, G., Saha, S., Harvey, C. A., Morgan, V. A., Waterreus, A. J., Bush, R. A. B., Castle, D. J., Galletly, C. A., Stain, H. J., Neil, A. L., et al. (2012) · Australian & New Zealand Journal of Psychiatry · doi:10.1177/0004867412452015 · Cited by 123
Mortgage Delinquency and Changes in Access to Health Resources and Depressive Symptoms in a Nationally Representative Cohort of Americans Older Than 50 Years
Alley, D. E., Lloyd, J. L. E., Pagán, J. A., Pollack, C. E., Shardell, M. D., & Cannuscio, C. C. (2011) · American Journal of Public Health · doi:10.2105/ajph.2011.300245 · Cited by 119
Social Security And Mental Illness: Reducing Disability With Supported Employment
Drake, R. E., Skinner, J., Bond, G. R., & Goldman, H. H. (2009) · Health Affairs · doi:10.1377/hlthaff.28.3.761 · Cited by 118
The association between early-onset schizophrenia with employment, income, education, and cohabitation status: nationwide study with 35 years of follow-up
Hakulinen, C. A., McGrath, J. J., Timmerman, A., Skipper, N., Mortensen, P. B., Pedersen, C. B., & Agerbo, E. (2019) · Social Psychiatry and Psychiatric Epidemiology · doi:10.1007/s00127-019-01756-0 · Cited by 118
Bipolar disorder and depression in early adulthood and long-term employment, income, and educational attainment: a nationwide cohort study of 2,390,127 individuals
Hakulinen, C., Musliner, K. L., & Agerbo, E. (2019) · Depression and Anxiety · doi:10.1002/da.22956 · Cited by 108
The role of hardship in the association between socio-economic position and depression
Butterworth, P., Olesen, S. C., & Leach, L. (2012) · Australian & New Zealand Journal of Psychiatry · doi:10.1177/0004867411433215 · Cited by 112
Psychedelic Microdosing: Prevalence and Subjective Effects
Cameron, L. P., Nazarian, A., & Olson, D. E. (2020) · Journal of Psychoactive Drugs · doi:10.1080/02791072.2020.1718250 · Cited by 110
A machine learning approach to understanding patterns of engagement with internet-delivered mental health interventions
Chien, I., Enrique, A., Palacios, J., Regan, T., Keegan, D., Carter, D., Tschiatschek, S., Nori, A., Thieme, A., Richards, D., et al. (2020) · JAMA Network Open · doi:10.1001/jamanetworkopen.2020.10791 · Cited by 111
Future Directions in Vulnerability to Depression Among Youth: Integrating Risk Factors and Processes Across Multiple Levels of Analysis
Hankin, B. L. (2012) · Journal of Clinical Child & Adolescent Psychology · doi:10.1080/15374416.2012.711708 · Cited by 123
Minding the treatment gap: results of the Singapore Mental Health Study
Subramaniam, M., Abdin, E., Vaingankar, J. A., Shafie, S., Chua, H. C., Tan, W. M., Tan, K. B., Verma, S. K., Heng, D., & Chong, S. A. (2019) · Social Psychiatry and Psychiatric Epidemiology · doi:10.1007/s00127-019-01748-0 · Cited by 107
Health Reform and the Scope of Benefits for Mental Health and Substance Use Disorder Services
Garfield, R. L., Lave, J. R., & Donohue, J. M. (2010) · Psychiatric Services · doi:10.1176/appi.ps.61.11.1081 · Cited by 102
A hybrid mental health prediction model using Support Vector Machine, Multilayer Perceptron, and Random Forest algorithms
Mohamed, E. S., Naqishbandi, T. A., Bukhari, S. A. C., Rauf, I., Sawrikar, V., & Hussain, A. (2023) · Healthcare Analytics · doi:10.1016/j.health.2023.100185 · Cited by 124
A brief review on the mental health for select elements of the built environment
Beemer, C. J., Stearns‐Yoder, K. A., Schuldt, S., Kinney, K. A., Lowry, C. A., Postolache, T. T., Brenner, L. A., & Hoisington, A. J. (2019) · Indoor and Built Environment · doi:10.1177/1420326x19889653 · Cited by 116
Health behavior models for informing digital technology interventions for individuals with mental illness.
Naslund, J. A., Aschbrenner, K. A., Kim, S. J., McHugo, G. J., Unützer, J., Bartels, S. J., & Marsch, L. A. (2017) · Psychiatric Rehabilitation Journal · doi:10.1037/prj0000246 · Cited by 107
Mental illness and lost income among adult South Africans
Lund, C., Myer, L., Stein, D. J., Williams, D. R., & Flisher, A. J. (2013) · Social Psychiatry and Psychiatric Epidemiology · doi:10.1007/s00127-012-0587-5 · Cited by 87
Financial Dependence of Young Adults with Childhood ADHD
Altszuler, A. R., Page, T. F., Gnagy, E. M., Coxe, S. J., Arrieta, A., Molina, B. S. G., & Pelham, W. E. (2015) · Research on Child and Adolescent Psychopathology · doi:10.1007/s10802-015-0093-9 · Cited by 100
Just what the nurse practitioner ordered: Independent prescriptive authority and population mental health
Alexander, D., & Schnell, M. K. (2019) · Journal of Health Economics · doi:10.1016/j.jhealeco.2019.04.004 · Cited by 85
A Roadmap to Computer-Based Psychotherapy in the United States
Cartreine, J. A., Ahern, D. K., & Locke, S. E. (2010) · Harvard Review of Psychiatry · doi:10.3109/10673221003707702 · Cited by 99
Mental illness stigma’s reasons and determinants (MISReaD) among Singapore’s lay public – a qualitative inquiry
Tan, G. T. H., Shahwan, S., Goh, C. M. J., Ong, W. J., Wei, K., Verma, S. K., Chong, S. A., & Subramaniam, M. (2020) · BMC Psychiatry · doi:10.1186/s12888-020-02823-6 · Cited by 95
Why Sleep is Key: Poor Sleep Quality is a Mechanism for the Bidirectional Relationship between Major Depressive Disorder and Generalized Anxiety Disorder Across 18 Years
Nguyen, V. V., Zainal, N. H., & Newman, M. G. (2022) · Journal of Anxiety Disorders · doi:10.1016/j.janxdis.2022.102601 · Cited by 94
Depression, mindfulness, and psilocybin: possible complementary effects of mindfulness meditation and psilocybin in the treatment of depression. a review
Heuschkel, K., & Kuypers, K. P. C. (2020) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2020.00224 · Cited by 86
Correlates of Psychological Distress and Major Depressive Disorder Among African American Men
Lincoln, K. D., Taylor, R. J., Watkins, D. C., & Chatters, L. M. (2010) · Research on Social Work Practice · doi:10.1177/1049731510386122 · Cited by 86
Telepsychology for Posttraumatic Stress Disorder: A systematic review
Bolton, A., & Dorstyn, D. (2015) · Journal of Telemedicine and Telecare · doi:10.1177/1357633x15571996 · Cited by 74
Is the Black-White mental health paradox consistent across age, gender, and psychiatric disorders?
Tobin, C. S. T., Erving, C. L., Hargrove, T. W., & Satcher, L. A. (2020) · Aging & Mental Health · doi:10.1080/13607863.2020.1855627 · Cited by 79
Does GP training in depression care affect patient outcome? - A systematic review and meta-analysis
Sikorski, C., Luppa, M., König, H., van den Bussche, H., & Riedel-Heller, S. G. (2012) · BMC Health Services Research · doi:10.1186/1472-6963-12-10 · Cited by 77
Using linguistic and topic analysis to classify sub-groups of online depression communities
Nguyen, T., O’Dea, B., Larsen, M. E., Phung, D., Venkatesh, S., & Christensen, H. M. (2015) · Multimedia Tools and Applications · doi:10.1007/s11042-015-3128-x · Cited by 76
Long-term outcomes of adolescents with juvenile-onset fibromyalgia into adulthood and impact of depressive symptoms on functioning over time
Kashikar-Zuck, S., Cunningham, N., Peugh, J., Black, W. R., Nelson, S., Lynch-Jordan, A. M., Pfeiffer, M., Tran, S. T., Ting, T. V., Arnold, L. M., et al. (2019) · Pain · doi:10.1097/j.pain.0000000000001415 · Cited by 72
Socioeconomic inequalities in suicide in Europe: the widening gap
Lorant, V., de Gelder, R., Kapadia, D., Borrell, C., Kalediene, R., Kovács, K., Leinsalu, M., Martikainen, P., Menvielle, G., Regidor, E., et al. (2018) · The British Journal of Psychiatry · doi:10.1192/bjp.2017.32 · Cited by 76
Empirical Evidence for the Outcomes of Therapeutic Video Games for Adolescents With Anxiety Disorders: Systematic Review
Barnes, S., & Prescott, J. (2018) · JMIR Serious Games · doi:10.2196/games.9530 · Cited by 73
Changes in Prevalence of Mental Illness Among US Adults During Compared with Before the COVID-19 Pandemic
Kessler, R. C., Chiu, W. T., Hwang, I. H., Puac‐Polanco, V., Sampson, N. A., Ziobrowski, H. N., & Zaslavsky, A. M. (2021) · Psychiatric Clinics of North America · doi:10.1016/j.psc.2021.11.013 · Cited by 75
Self-citation
Association of Participation in the Supplemental Nutrition Assistance Program and Psychological Distress
Oddo, V. M., & Mabli, J. (2015) · American Journal of Public Health · doi:10.2105/ajph.2014.302480 · Cited by 70
Use of Smartphones, Computers and Social Media Among People with SMI: Opportunity for Intervention
Brunette, M. F., Achtyes, E., Pratt, S., Stilwell, K., Opperman, M., Guarino, S., & Kay-Lambkin, F. (2019) · Community Mental Health Journal · doi:10.1007/s10597-019-00431-7 · Cited by 67
Telemedicine: A Cost-Reducing Means of Delivering Psychotherapy to Rural Combat Veterans with PTSD
Morland, L. A., Raab, M. L., Mackintosh, M., Rosen, C. S., Dismuke, C. E., Greene, C. J., & Frueh, B. C. (2013) · Telemedicine Journal and e-Health · doi:10.1089/tmj.2012.0298 · Cited by 67
Cost-effectiveness of therapist-guided internet-delivered cognitive behaviour therapy for paediatric obsessive–compulsive disorder: results from a randomised controlled trial
Lenhard, F., Ssegonja, R., Andersson, E., Feldman, I., Rück, C., Mataix‐Cols, D., & Serlachius, E. (2017) · BMJ Open · doi:10.1136/bmjopen-2016-015246 · Cited by 68
The long-term financial outcome of children diagnosed with ADHD.
Pelham, W. E., Page, T. F., Altszuler, A. R., Gnagy, E. M., Molina, B. S. G., & Pelham, W. E. (2019) · Journal of Consulting and Clinical Psychology · doi:10.1037/ccp0000461 · Cited by 68
For whom the bell tolls: Neurocognitive individual differences in the acute stress-reduction effects of an attention bias modification game for anxiety
Dennis-Tiwary, T. A., Egan, L. J., Babkirk, S., & Denefrio, S. (2016) · Behaviour Research and Therapy · doi:10.1016/j.brat.2015.12.008 · Cited by 64
Neighborhood disadvantage in context: the influence of urbanicity on the association between neighborhood disadvantage and adolescent emotional disorders
Rudolph, K. E., Stuart, E. A., Glass, T. A., & Merikangas, K. R. (2013) · Social Psychiatry and Psychiatric Epidemiology · doi:10.1007/s00127-013-0725-8 · Cited by 64
Mental Health Service Utilization Among Noncitizens in the United States: Findings From the National Latino and Asian American Study
Lee, S., & Matejkowski, J. C. (2011) · Administration and Policy in Mental Health and Mental Health Services Research · doi:10.1007/s10488-011-0366-8 · Cited by 62
Prevalence of Adverse Childhood Experiences (ACEs) and associated health risks and risk behaviors among young women and men in Honduras
Kappel, R., Livingston, M. D., Patel, S. N., Villaveces, A., & Massetti, G. M. (2021) · Child Abuse & Neglect · doi:10.1016/j.chiabu.2021.104993 · Cited by 71
Psychiatrist attitudes towards pharmacogenetic testing, direct-to-consumer genetic testing, and integrating genetic counseling into psychiatric patient care
Thompson, C., Hamilton, S. P., & Hippman, C. (2014) · Psychiatry Research · doi:10.1016/j.psychres.2014.11.044 · Cited by 60
Measuring The Lifetime Costs Of Serious Mental Illness And The Mitigating Effects Of Educational Attainment
Seabury, S. A., Axeen, S., Pauley, G. C., Tysinger, B., Schlosser, D. A., Hernandez, J., Heun‐Johnson, H., Zhao, H., & Goldman, D. P. (2019) · Health Affairs · doi:10.1377/hlthaff.2018.05246 · Cited by 58
Prevalence and Impact of Mental and Physical Comorbidity in the Adult Singapore Population
Chong, S. A., Abdin, E., Nan, L., Vaingankar, J. A., & Subramaniam, M. (2012) · Annals of the Academy of Medicine Singapore · doi:10.47102/annals-acadmedsg.v41n3p105 · Cited by 60
Rural experiences with mental illness: Through the eyes of patients and their families.
Robinson, W. D., Springer, P. R., Bischoff, R. J., Geske, J., Backer, E., Olson, M. M., Jarzynka, K., & Swinton, J. (2012) · Families Systems & Health · doi:10.1037/a0030171 · Cited by 59

Authors: Kessler, R. C., Heeringa, S., Lakoma, M. D., Petukhova, M., Rupp, A. E., Schoenbaum, M., Wang, P. S., & Zaslavsky, A. M.
Affiliations: Harvard University (US)
ORCID: Kessler, Ronald C.
Heeringa, Steven
Petukhova, Maria
Wang, Philip S.
Zaslavsky, Alan M.
Venue: American Journal of Psychiatry
Publisher: American Psychiatric Association Publishing
Published: 2008-06
Volume: 165
Issue: 6
Pages: 703-711
ISSN: 0002-953X (ISSN-L)
1535-7228
DOI: 10.1176/appi.ajp.2008.08010126
PMC: PMC2410028
OpenAlex: W2115298650
Cited by: 486
References: 41
Citations by year: 2026: 7 · 2025: 22 · 2024: 22 · 2023: 20 · 2022: 32 · 2021: 27 · 2020: 30 · 2019: 29 · 2018: 34 · 2017: 25 · 2016: 24 · 2015: 30 · 2014: 36 · 2013: 39 · 2012: 27
FWCI: 37.01
Type: journal article
Language: en
Open access: green
www.ncbi.nlm.nih.gov
Locations: American Journal of Psychiatry (publishedVersion)
PubMed (publishedVersion)
PubMed Central (acceptedVersion)
Funders: John W. Alden Trust
Eli Lilly and Company
Pfizer
GlaxoSmithKline
Sanofi
National Institutes of Health
Pfizer Foundation
National Institute of Mental Health (U01-MH-60220, MH60220, HHSN271200700030C, U01MH060220)
National Institute on Drug Abuse
Topics: Health Sciences › Medicine › Psychiatry and Mental health › Mental Health Treatment and Access
Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Employment and Welfare Studies
Health Sciences › Medicine › Psychiatry and Mental health › Schizophrenia research and treatment
Keywords: mental illness, earnings, severe mental illness, economic burden of mental illness, income loss, employment, substance use disorders, DSM-IV, National Comorbidity Survey Replication, gender differences
MeSH terms: Absenteeism, Adolescent, Adult, Mental Disorders, Cross-Sectional Studies, Female, Health Surveys, Humans, Income, Interview, Psychological, Male, Middle Aged, Probability, Psychotic Disorders, Sex Factors, Socioeconomic Factors, United States, Reproducibility of Results, Models, Statistical, Comorbidity

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Individual and Societal Effects of Mental Disorders on Earnings in the United States: Results From the National Comorbidity Survey Replication

Abstract

Overview

Integrity signals

Verification

Claims the paper makes

Claims other papers make about this one

Self-check

Citations

Cites

Cited by

Related

Metadata

Record

About these checks