Cited by 139Substance Abuse Treatment and OutcomesMental Health Treatment and AccessOpioid Use Disorder Treatment

The DOI matches its Crossref record; 70 of the 70 references it cites were found in a registry or an index.

Socio-demographic risk factors for alcohol and drug dependence: the 10-year follow-up of the national comorbidity survey

Open access

Swendsen, Joel, Conway, Kevin P., Degenhardt, Louisa, Dierker, Lisa, Glantz, Meyer, Jin, Robert, Merikangas, Kathleen R., Sampson, Nancy, Kessler, Ronald C.·2009·Addiction

DOI 10.1111/j.1360-0443.2009.02622.xPMC PMC2794245

Open this paper in CoChat — free account

Abstract

AIMS: Continued progress in etiological research and prevention science requires more precise information concerning the specific stages at which socio-demographic variables are implicated most strongly in transition from initial substance use to dependence. The present study examines prospective associations between socio-demographic variables and the subsequent onset of alcohol and drug dependence using data from the National Comorbidity Survey (NCS) and the NCS Follow-up survey (NCS-2). DESIGN: The NCS was a nationally representative survey of the prevalence and correlates of DSM-III-R mental and substance disorders in the United States carried out in 1990-2002. The NCS-2 re-interviewed a probability subsample of NCS respondents a decade after the baseline survey. Baseline NCS socio-demographic characteristics and substance use history were examined as predictors of the first onset of DSM-IV alcohol and drug dependence in the NCS-2. PARTICIPANTS: A total of 5001 NCS respondents were re-interviewed in the NCS-2 (87.6% of baseline sample). FINDINGS: Aggregate analyses demonstrated significant associations between some baseline socio-demographic variables (young age, low education, non-white ethnicity, occupational status) but not others (sex, number of children, residential area) and the subsequent onset of DSM-IV alcohol or drug dependence. However, conditional models showed that these risk factors were limited to specific stages of baseline use. Moreover, many socio-demographic variables that were not significant in the aggregate analyses were significant predictors of dependence when examined by stage of use. CONCLUSIONS: The findings underscore the potential for socio-demographic risk factors to have highly specific associations with different stages of the substance use trajectory.

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 · 10.1111/j.1360-0443.2009.02622.x

Cites

70 of 70 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
The central role of the propensity score in observational studies for causal effects
ROSENBAUM, P. R., & RUBIN, D. B. (1983) · Biometrika · doi:10.1093/biomet/70.1.41 · Cited by 31,241
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
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
Applied Logistic Regression.
Kupper, L. L., Hosmer, D. W., & Lemeshow, S. A. (1990) · Journal of the American Statistical Association · doi:10.2307/2290035 · Cited by 7,690
The World Health Report 2002 - Reducing Risks, Promoting Healthy Life
Available, N. A. N. (2003) · Education for Health · doi:10.1080/1357628031000116808 · Cited by 6,078
Risk and protective factors for alcohol and other drug problems in adolescence and early adulthood: implications for substance abuse prevention
Hawkins, J. D., Catalano, R. F., & Miller, J. Y. (1992) · Psychological Bulletin · doi:10.1037/0033-2909.112.1.64 · Cited by 5,428
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
The Structured Clinical Interview for DSM-III-R (SCID): I: History, Rationale, and Description
Spitzer, R. L. (1992) · Archives of General Psychiatry · doi:10.1001/archpsyc.1992.01820080032005 · Cited by 4,336
Comparative quantification of health risks : global and regional burden of disease attributable to selected major risk factors
Ezzati, M., López, A. D., Rodgers, A., & Murray, C. J. L. (2004) · Cited by 3,319
The Composite International Diagnostic Interview: An Epidemiologic Instrument Suitable for Use in Conjunction With Different Diagnostic Systems and in Different Cultures
Robins, L. N. (1988) · Archives of General Psychiatry · doi:10.1001/archpsyc.1988.01800360017003 · Cited by 2,909
Prevalence, Correlates, Disability, and Comorbidity of DSM-IV Alcohol Abuse and Dependence in the United States: Results From the National Epidemiologic Survey on Alcohol and Related Conditions
Hasin, D. S., Stinson, F. S., Ogburn, E., & Grant, B. F. (2007) · Archives of General Psychiatry · doi:10.1001/archpsyc.64.7.830 · Cited by 2,908
Age at onset of alcohol use and its association with DSM-IV alcohol abuse and dependence: results from the National Longitudinal Alcohol Epidemiologic Survey
Grant, B. F., & Dawson, D. A. (1997) · Journal of Substance Abuse · doi:10.1016/s0899-3289(97)90009-2 · Cited by 1,793
Coming to terms with the terms of risk
Kraemer, H. C. (1997) · Archives of General Psychiatry · doi:10.1001/archpsyc.1997.01830160065009 · Cited by 1,432
Introduction to Variance Estimation.
King, B. F., & Wolter, K. M. (1987) · Journal of the American Statistical Association · doi:10.2307/2289497 · Cited by 1,377
Comparative epidemiology of dependence on tobacco, alcohol, controlled substances, and inhalants: basic findings from the National Comorbidity Survey
Anthony, J. C., Warner, L. A., & Kessler, R. C. (1994) · Experimental and Clinical Psychopharmacology · doi:10.1037/1064-1297.2.3.244 · Cited by 1,341
Prevalence, Correlates, Disability, and Comorbidity of DSM-IV Drug Abuse and Dependence in the United States: Results From the National Epidemiologic Survey on Alcohol and Related Conditions
Compton, W. M., Thomas, Y. F., Stinson, F. S., & Grant, B. F. (2007) · Archives of General Psychiatry · doi:10.1001/archpsyc.64.5.566 · Cited by 1,152
Concordance of the Composite International Diagnostic Interview Version 3.0 (CIDI 3.0) with standardized clinical assessments in the WHO World Mental Health Surveys
Haro, J. M., Arbabzadeh-Bouchez, S., Brugha, T. S., De Girolamo, G., Guyer, M. E., Jin, R., Lepine, J. P., Mazzi, F., Reneses, B., Vilagut, G., et al. (2006) · International Journal of Methods in Psychiatric Research · doi:10.1002/mpr.196 · Cited by 1,082
Sex differences in drug abuse
Becker, J. B., & Hu, M. (2008) · Frontiers in Neuroendocrinology · doi:10.1016/j.yfrne.2007.07.003 · Cited by 1,003
Introduction to Variance Estimation
Hidiroglou, M. A., & Wolter, K. M. (1986) · Technometrics · doi:10.2307/1269086 · Cited by 820
Age at onset of alcohol use and DSM-IV alcohol abuse and dependence: a 12-year follow-up
Grant, B. F., Stinson, F. S., & Harford, T. C. (2001) · Journal of Substance Abuse · doi:10.1016/s0899-3289(01)00096-7 · Cited by 590
Age of onset of drug use and its association with DSM-IV drug abuse and dependence: results from the National Longitudinal Alcohol Epidemiologic Survey
Grant, B. F., & Dawson, D. A. (1998) · Journal of Substance Abuse · doi:10.1016/s0899-3289(99)80131-x · Cited by 582
Early-onset drug use and risk of later drug problems
Anthony, J. C., & Petronis, K. R. (1995) · Drug and Alcohol Dependence · doi:10.1016/0376-8716(95)01194-3 · Cited by 531
Immigration and Lifetime Prevalence of DSM-IV PsychiatricDisorders Among Mexican Americans and Non-Hispanic Whites in the United States
Grant, B. F., Stinson, F. S., Hasin, D. S., Dawson, D. A., Chou, S. P., & Anderson, K. L. (2004) · Archives of General Psychiatry · doi:10.1001/archpsyc.61.12.1226 · Cited by 525
Prevalence and Correlates of Drug Use and Dependence in the United States
Warner, L. A. (1995) · Archives of General Psychiatry · doi:10.1001/archpsyc.1995.03950150051010 · Cited by 511
Interventions to reduce harm associated with adolescent substance use
Toumbourou, J. W., Stockwell, T. R., Neighbors, C., Marlatt, G. A., Sturge, J. L., & Rehm, J. T. (2007) · The Lancet · doi:10.1016/s0140-6736(07)60369-9 · Cited by 503
Methodological studies of the Composite International Diagnostic Interview (CIDI) in the US national comorbidity survey (NCS)
Kessler, R. C., Wittchen, H., Abelson, J. M., Mcgonagle, K., Schwarz, N., Kendler, K. S., Knäuper, B., & Zhao, S. (1998) · International Journal of Methods in Psychiatric Research · doi:10.1002/mpr.33 · Cited by 483
Self-citation
Transitions from first substance use to substance use disorders in adolescence: Is early onset associated with a rapid escalation?
Behrendt, S., Wïttchen, H., Höfler, M., Lieb, R., & Beesdo, K. (2008) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2008.06.014 · Cited by 396
Age of onset of drinking and the use of alcohol in adulthood: a follow‐up study from age 8–42 for females and males
Pitkänen, T., Lyyra, A., & Pulkkinen, L. (2005) · Addiction · doi:10.1111/j.1360-0443.2005.01053.x · Cited by 393
Gender and ethnic differences in smoking, drinking and illicit drug use among American 8th, 10th and 12th grade students, 1976–2000
Wallace, J. M., Bachman, J. G., O’Malley, P. M., Schulenberg, J. E., Cooper, S. M., & Johnston, L. D. (2003) · Addiction · doi:10.1046/j.1360-0443.2003.00282.x · Cited by 339
The role of childhood risk factors in initiation of alcohol use and progression to alcohol dependence
Sartor, C. E., Lynskey, M. T., Heath, A. C., Jacob, T., & True, W. (2006) · Addiction · doi:10.1111/j.1360-0443.2006.01661.x · Cited by 330
Neuroscience of Psychoactive Substance Use and Dependence
Mann, K. F. (2004) · Addiction · doi:10.1111/j.1360-0443.2004.00906.x · Cited by 303
Does early onset of non‐medical use of prescription drugs predict subsequent prescription drug abuse and dependence? Results from a national study
McCabe, S. E., West, B. T., Morales, M., Cranford, J. A., & Boyd, C. J. (2007) · Addiction · doi:10.1111/j.1360-0443.2007.02015.x · Cited by 293
Gender Roles as Mediators of Sex Differences in Adolescent Alcohol Use and Abuse
Huselid, R. F., & Cooper, M. L. (1992) · Journal of Health and Social Behavior · doi:10.2307/2137313 · Cited by 267
Who becomes cannabis dependent soon after onset of use? Epidemiological evidence from the United States: 2000–2001
Chen, C.-Y., O’Brien, M. S., & Anthony, J. C. (2005) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2004.11.014 · Cited by 260
Untitled work
Maier (2005) · doi:10.1016/j.neubiorev.2004.08.001 · Cited by 216
Risk of Becoming Cocaine Dependent: Epidemiological Estimates for the United States, 2000–2001
O’Brien, M. S., & Anthony, J. C. (2005) · Neuropsychopharmacology · doi:10.1038/sj.npp.1300681 · Cited by 198
What are the high risk periods for incident substance use and transitions to abuse and dependence? Implications for early intervention and prevention
Wïttchen, H., Behrendt, S., Höfler, M., Perkonigg, A., Lieb, R., Bühringer, G., & Beesdo, K. (2008) · International Journal of Methods in Psychiatric Research · doi:10.1002/mpr.254 · Cited by 185
Male–female differences in the risk of progression from first use to dependence upon cannabis, cocaine, and alcohol
Wagner, F. A., & Anthony, J. C. (2006) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2006.06.003 · Cited by 177
Male‐female differences in the earliest stages of drug involvement
Etten, M. L. V., Neumark, Y. D., & Anthony, J. C. (1999) · Addiction · doi:10.1046/j.1360-0443.1999.949141312.x · Cited by 166
Comparative epidemiology of initial drug opportunities and transitions to first use: marijuana, cocaine, hallucinogens and heroin
Van Etten, M. L., & Anthony, J. C. (1999) · Drug and Alcohol Dependence · doi:10.1016/s0376-8716(98)00151-3 · Cited by 160
Use, abuse and dependence of ecstasy and related drugs in adolescents and young adults—a transient phenomenon? Results from a longitudinal community study
von Sydow, K., Lieb, R., Pfister, H., Höfler, M., & Wïttchen, H. (2002) · Drug and Alcohol Dependence · doi:10.1016/s0376-8716(01)00195-8 · Cited by 160
Initiation of use of alcohol, cigarettes, marijuana, cocaine, and other substances in US birth cohorts since 1919.
Johnson, R. A., & Gerstein, D. R. (1998) · American Journal of Public Health · doi:10.2105/ajph.88.1.27 · Cited by 155
Risk and Protective Factors
Day, D. M., Carey, J., Hunt, A. C., MacLeod, J., & Pal, A. (1993) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1097/00004583-199311000-00028 · Cited by 155
Three Decades of Drug Prevention Research
Cuijpers, P. J. (2003) · Drugs Education Prevention and Policy · doi:10.1080/0968763021000018900 · Cited by 151
Risk factors and prevention
OFFORD, D. R., & Kraemer, H. C. (2000) · Evidence-Based Mental Health · doi:10.1136/ebmh.3.3.70 · Cited by 137
Volume of alcohol consumption, patterns of drinking and burden of disease in the European region 2002
Rehm, J. T., Taylor, B., & Patra, J. (2006) · Addiction · doi:10.1111/j.1360-0443.2006.01491.x · Cited by 128
Cohort trends in the age of initiation of drug use in Australia
Degenhardt, L. J., Lynskey, M. T., & Hall, W. (2000) · Australian and New Zealand Journal of Public Health · doi:10.1111/j.1467-842x.2000.tb01605.x · Cited by 127
Gender identity, ethnicity, acculturation, and drug use: Exploring differences among adolescents in the Southwest
Kulis, S., Marsiglia, F. F., & Hurdle, D. E. (2003) · Journal of Community Psychology · doi:10.1002/jcop.10041 · Cited by 99
Illicit drug use
Degenhardt, L. J., Hall, W., Warner‐Smith, M., & Lynskey, M. T. (2004) · Cited by 98
High prevalence rates of tobacco, alcohol and drug use in adolescents and young adults in France: Results from the GAZEL Youth study
Melchior, M., Chastang, J., Goldberg, P., & Fombonne, E. J. (2007) · Addictive Behaviors · doi:10.1016/j.addbeh.2007.09.009 · Cited by 95
Forward telescoping bias in reported age of onset: an example from cigarette smoking
Johnson, E. O., & Schultz, L. R. (2005) · International Journal of Methods in Psychiatric Research · doi:10.1002/mpr.2 · Cited by 95
Sociodemographic predictors of transitions across stages of alcohol use, disorders, and remission in the National Comorbidity Survey Replication
Kalaydjian, A., Swendsen, J. D., Chiu, W.-T., Dierker, L., Degenhardt, L. J., Glantz, M. D., Merikangas, K. R., Sampson, N. A., & Kessler, R. C. (2008) · Comprehensive Psychiatry · doi:10.1016/j.comppsych.2008.09.012 · Cited by 94
Gender, Occupational, and Socioeconomic Correlates of Alcohol and Drug Abuse Among U.S. Rural, Metropolitan, and Urban Residents
Diala, C. C., Muntaner, C., & Walrath, C. (2004) · The American Journal of Drug and Alcohol Abuse · doi:10.1081/ada-120037385 · Cited by 82
Errors in Assessing DSM-IV Substance Use Disorders
Grant, B. F., Compton, W. M., Crowley, T. J., Hasin, D. S., Helzer, J. E., Li, T., Rounsaville, B. J., Volkow, N. D., & WOODY, G. E. (2007) · Archives of General Psychiatry · doi:10.1001/archpsyc.64.3.379 · Cited by 72
Risk and speed of transitions to first alcohol dependence symptoms in adolescents: a 10‐year longitudinal community study in Germany
Behrendt, S., Wïttchen, H., Höfler, M., Lieb, R., Low, N. C. P., Rehm, J. T., & Beesdo‐Baum, K. (2008) · Addiction · doi:10.1111/j.1360-0443.2008.02324.x · Cited by 62
Prevalence of illicit drug use among youth: results from the Australian School Students' Alcohol and Drugs Survey
Lynskey, M. T., WHITE, V. M., Hill, D., Letcher, T., & Hall, W. (1999) · Australian and New Zealand Journal of Public Health · doi:10.1111/j.1467-842x.1999.tb01309.x · Cited by 62
Substance Use and Substance Use Disorders in a Community Sample of Adolescents and Young Adults: Incidence, Age Effects and Patterns of Use
Perkonigg, A., Pfister, H., Höfler, M., Fröhlich, C., Zimmermann, P., Lieb, R., & Wïttchen, H. (2006) · European Addiction Research · doi:10.1159/000094421 · Cited by 55
Age–period–cohort influences on trends in past year marijuana use in the US from the 1984, 1990, 1995 and 2000 National Alcohol Surveys
Kerr, W. C., Greenfield, T. K., Bond, J. C., Ye, Y., & Rehm, J. T. (2006) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2006.05.022 · Cited by 52
Alcohol Abuse and Dependence in College and Noncollege Samples: A Ten-Year Prospective Follow-Up in a National Survey
Harford, T. C., Yi, H., & Hilton, M. E. (2006) · Journal of Studies on Alcohol · doi:10.15288/jsa.2006.67.803 · Cited by 51
A synthesis review of exemplary drug abuse prevention programs in the United States
Winters, K. C., Fawkes, T., Fahnhorst, T., Botzet, A. M., & August, G. J. (2006) · Journal of Substance Abuse Treatment · doi:10.1016/j.jsat.2006.10.002 · Cited by 42
Identifying adolescent drug users: Results of a national survey on adolescent health in Switzerland
Konings, E., Dubois-Arber, F., Narring, F., & Michaud, P. (1995) · Journal of Adolescent Health · doi:10.1016/1054-139x(94)00098-y · Cited by 39
Gender Congruence in Confirmatory and Compensatory Drinking
Williams, R. J., & Ricciardelli, L. A. (1999) · The Journal of Psychology · doi:10.1080/00223989909599745 · Cited by 36
Assessment of cocaine and other drug dependence in the general population: “Gated” versus “ungated” approaches
Degenhardt, L. J., Bohnert, K. M., & Anthony, J. C. (2007) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2007.09.024 · Cited by 34
Assessing cannabis dependence in community surveys: methodological issues
Degenhardt, L. J., Cheng, H. G., & Anthony, J. C. (2007) · International Journal of Methods in Psychiatric Research · doi:10.1002/mpr.206 · Cited by 32
Improving targets for the prevention of drug use disorders: Sociodemographic predictors of transitions across drug use stages in the national comorbidity survey replication
Swendsen, J. D., Anthony, J. C., Conway, K. P., Degenhardt, L. J., Dierker, L., Glantz, M. D., He, J., Kalaydjian, A., Kessler, R. C., Sampson, N. A., et al. (2008) · Preventive Medicine · doi:10.1016/j.ypmed.2008.09.009 · Cited by 31
Genetic and environmental contributions to the diversity of substances used in adolescent twins: a longitudinal study of age and sex effects
Derringer, J. L., Krueger, R. F., McGue, M. K., & Iacono, W. G. (2008) · Addiction · doi:10.1111/j.1360-0443.2008.02305.x · Cited by 30
Who is becoming hallucinogen dependent soon after hallucinogen use starts?
Stone, A. L., O’Brien, M. S., de la Torre, A., & Anthony, J. C. (2006) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2006.08.008 · Cited by 28
Incidence rates for alcohol dependence among adults: prospective data from the Baltimore Epidemiologic Catchment Area Follow-Up Survey, 1981-1996.
Crum, R. M., Chan, Y.-F., Chen, L.-S., Storr, C. L., & Anthony, J. C. (2005) · Journal of Studies on Alcohol · doi:10.15288/jsa.2005.66.795 · Cited by 23
[Commentary] UNDERSTANDING THE PARAMETERS OF NON‐MEDICAL USE OF PRESCRIPTION DRUGS: MOVING BEYOND MERE NUMBERS
Fischer, B., & Rehm, J. T. (2007) · Addiction · doi:10.1111/j.1360-0443.2007.02048.x · Cited by 10

Research works printed but not linked: 3

Rehm J., 2004, Comparative Quantification of Health Risks: Global and Regional Burden of Disease Attributable to Selected Major Risk Factors, 959
First M. B., 2002, Structured Clinical Interview for DSM‐IV Axis I Disorders, Research Version, Non‐patient Edition (SCID‐I/NP)
Research Triangle Institute, 2004, SUDAAN: Professional Software for Survey Data Analysis, 9.0

Sorted by citations

Mental disorders as risk factors for substance use, abuse and dependence: results from the 10‐year follow‐up of the National Comorbidity Survey
Swendsen, J. D., Conway, K. P., Degenhardt, L. J., Glantz, M. D., Jin, R., Merikangas, K. R., Sampson, N. A., & Kessler, R. C. (2010) · Addiction · doi:10.1111/j.1360-0443.2010.02902.x · Cited by 642
Age of Onset and Timing of Treatment for Mental and Substance Use Disorders: Implications for Preventive Intervention Strategies and Models of Care
McGorry, P. D., Purcell, R., Goldstone, S., & Amminger, G. P. (2011) · Current Opinion in Psychiatry · doi:10.1097/yco.0b013e3283477a09 · Cited by 490
Use and Abuse of Alcohol and Illicit Drugs in US Adolescents
Burstein, M. (2012) · Archives of General Psychiatry · doi:10.1001/archgenpsychiatry.2011.1503 · Cited by 365
Risks for opioid abuse and dependence among recipients of chronic opioid therapy: Results from the TROUP Study
Edlund, M. J., Martin, B. C., Fan, M.-Y., DEVRIES, A. R., Braden, J. B., & Sullivan, M. D. (2010) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2010.05.017 · Cited by 320
Assessment of culture and environment in the Adolescent Brain and Cognitive Development Study: Rationale, description of measures, and early data
Zucker, R. A., Gonzalez, R., Feldstein Ewing, S. W., Paulus, M. P., Arroyo, J., Fuligni, A., Morris, A. S., Sanchez, M., & Wills, T. (2018) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2018.03.004 · Cited by 221
“In reality, the influence of cultural factors is highly nuanced, even impacting substance use trajectories by geographic location within a national origin group (Swendsen et al., 2009).”
Background

See all 139

Authors: Swendsen, J., Conway, K. P., Degenhardt, L., Dierker, L., Glantz, M., Jin, R., Merikangas, K. R., Sampson, N., & Kessler, R. C.
Affiliations: Centre National de la Recherche Scientifique (FR)
National Institutes of Health (US)
National Drug and Alcohol Research Centre (AU)
Wesleyan University (US)
Harvard University (US)
Corresponding author: Swendsen, Joel
ORCID: Swendsen, Joel
Conway, Kevin P.
Degenhardt, Louisa
Dierker, Lisa
Glantz, Meyer
Merikangas, Kathleen R.
Sampson, Nancy
Kessler, Ronald C.
Venue: Addiction
Publisher: Wiley
Published: 2009-07-13
Volume: 104
Issue: 8
Pages: 1346-1355
ISSN: 0965-2140 (ISSN-L)
1360-0443
DOI: 10.1111/j.1360-0443.2009.02622.x
PMC: PMC2794245
OpenAlex: W2137453755
Cited by: 139
References: 70
Citations by year: 2026: 4 · 2025: 5 · 2024: 3 · 2023: 5 · 2022: 12 · 2021: 8 · 2020: 26 · 2019: 10 · 2018: 4 · 2017: 2 · 2016: 7 · 2015: 7 · 2014: 9 · 2013: 5 · 2012: 14
FWCI: 7.39
Type: journal article
Language: en
Open access: green
www.ncbi.nlm.nih.gov
Licence: onlinelibrary.wiley.com/termsAndConditions#vor (vor)
Locations: Addiction (publishedVersion)
PubMed (publishedVersion)
PubMed Central (acceptedVersion)
Funders: Robert Wood Johnson Foundation
John D. and Catherine T. MacArthur Foundation
John W. Alden Trust
World Health Organization
National Institutes of Health (5r13mh066849-04, 5r01mh069864-04, 5r01mh070884-05)
Substance Abuse and Mental Health Services Administration
Johnson and Johnson
Pan American Health Organization
National Institute of Mental Health (R13-MH-066849, ZIAMH002806, R01‐MH070884, R01MH046376, R01MH077883, Z01MH002806, U01MH060220, R01‐MH069864)
National Institute on Drug Abuse (R01DA016558, R01DA012058)
Fogarty International Center (R03TW006481)
Topics: Health Sciences › Medicine › Epidemiology › Substance Abuse Treatment and Outcomes
Health Sciences › Medicine › Psychiatry and Mental health › Mental Health Treatment and Access
Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Opioid Use Disorder Treatment
Keywords: alcoholism, drug addiction, sociodemographic risk factors, substance use onset, National Comorbidity Survey, DSM-IV, low educational attainment, young age, occupational status
MeSH terms: Adolescent, Adult, Epidemiologic Methods, Female, Humans, Male, United States, Comorbidity, Substance-Related Disorders, Alcohol-Related Disorders, Diagnostic and Statistical Manual of Mental Disorders, Young Adult

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

Socio-demographic risk factors for alcohol and drug dependence: the 10-year follow-up of the national comorbidity survey

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