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

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.

Overview

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1176/appi.ajp.2008.08010126

Cites

41 of 41 references verified0 citation errors · 0 not checkable

Statistics

Verification

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.

A few free checks a day · papers already verified open instantly · results are public

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.

Citations

Cites

Show all 41 references

Research works printed but not linked: 9

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

Cited by

Sorted by citations

See all 487

Metadata

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)
Venue
American Journal of Psychiatry
Published
2008-06
Volume
165
Issue
6
Pages
703-711
ISSN
  • 0002-953X (ISSN-L)
  • 1535-7228
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
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