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Use of item response theory to understand differential functioning of DSM-IV major depression symptoms by race, ethnicity and gender

Published online by Cambridge University Press:  30 June 2008

L. A. Uebelacker ,
D. Strong ,
L. M. Weinstock  and
I. W. Miller
L. A. Uebelacker*
Affiliation:
Warren Alpert Medical School of Brown University and Butler Hospital, Providence, RI, USA
D. Strong
Affiliation:
Warren Alpert Medical School of Brown University and Butler Hospital, Providence, RI, USA
L. M. Weinstock
Affiliation:
Warren Alpert Medical School of Brown University and Butler Hospital, Providence, RI, USA
I. W. Miller
Affiliation:
Warren Alpert Medical School of Brown University and Butler Hospital, Providence, RI, USA
*
*Address for correspondence: Dr L. A. Uebelacker, Butler Hospital, 345 Blackstone Boulevard, Providence, RI 02906, USA. (Email: [email protected])
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Abstract

Background

Psychological literature and clinical lore suggest that there may be systematic differences in how various demographic groups experience depressive symptoms, particularly somatic symptoms. The aim of the current study was to use methods based on item response theory (IRT) to examine whether, when equating for levels of depression symptom severity, there are demographic differences in the likelihood of reporting DSM-IV depression symptoms.

Method

We conducted a secondary analysis of a subset (n=13 753) of the National Epidemiologic Survey on Alcohol and Related Conditions (NESARC) dataset, which includes a large epidemiological sample of English-speaking Americans. We compared data from women and men, Hispanics and non-Hispanic Whites, African Americans and Whites, Asian Americans and Whites, and American Indians and Whites.

Results

There were few differences overall, although the differences that we did find were primarily limited to somatic symptoms, and particularly appetite and weight disturbance.

Conclusions

For the most part, individuals responded similarly to the criteria used to diagnose major depression across gender and across English-speaking racial and ethnic groups in the USA.

Keywords

Major depressionitem response theory
Type
Original Articles
Information
Psychological Medicine , Volume 39 , Issue 4 , April 2009 , pp. 591 - 601
Copyright
Copyright © 2008 Cambridge University Press

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References

Aggen, SH, Neale, MC, Kendler, KS (2005). DSM criteria for major depression: evaluating symptom patterns using latent trait item response models. Psychological Medicine 35, 475–487.CrossRefGoogle ScholarPubMed
Ahye, BA, Devome, CM, Odoms-Young, AM (2005). Values expressed through intergenerational family food and nutrition management systems among African American women. Family and Community Health 29, 5–16.CrossRefGoogle Scholar
Airhihenbuwa, CO, Kumanyika, S, Agurs, TD, Lowe, A, Saunders, D, Morssink, CB (1996). Cultural aspects of African American eating patterns. Ethnicity and Health 1, 245–260.CrossRefGoogle ScholarPubMed
APA (2000). Diagnostic and Statistical Manual of Mental Disorders, 4th edn, text revision. American Psychiatric Association: Washington, DC.Google Scholar
Asparouhov, T (2005). Sampling weights in latent variable modeling. Structural Equation Modeling 12, 411–434.CrossRefGoogle Scholar
Ayalon, L, Young, MA (2003). A comparison of depressive symptoms in African Americans and Caucasian Americans. Journal of Cross-Cultural Psychology 34, 111–124.CrossRefGoogle Scholar
Benjamini, Y, Hochberg, Y (1995). Controlling the false discovery rate: a practical and powerful approach to multiple testing. Journal of the Royal Statistical Society, Series B 57, 289–300.Google Scholar
Blazer, DG, Landerman, LR, Hays, JC, Simonsick, EM, Saunders, WB (1998). Symptoms of depression among community-dwelling elderly African-American and white older adults. Psychological Medicine 28, 1311–1320.CrossRefGoogle ScholarPubMed
Brown, C, Schulberg, HC, Madonia, MJ (1996). Clinical presentations of major depression by African Americans and whites in primary medical care practice. Journal of Affective Disorders 41, 181–191.CrossRefGoogle ScholarPubMed
Cohen, J (1988). Statistical Power Analysis for the Behavioral Sciences. Lawrence Erlbaum Associates: Hillsdale, NJ.Google Scholar
Cole, SR, Kawachi, I, Maller, SJ, Berkman, LF (2000). Test of item-response bias in the CES-D scale: experience from the New Haven EPESE study. Journal of Clinical Epidemiology 53, 285–289.CrossRefGoogle ScholarPubMed
Das, AK, Olfson, M, McCurtis, HL, Weissman, MM (2006). Depression in African Americans: breaking barriers to detection and treatment. Journal of Family Practice 55, 30–39.Google ScholarPubMed
Gallo, JJ, Cooper-Patrick, L, Lesikar, S (1998). Depressive symptoms of whites and African Americans aged 60 years and older. Journals of Gerontology Series B: Psychological Sciences and Social Sciences 53, P277–P286.CrossRefGoogle ScholarPubMed
Grant, BF, Dawson, DA, Hasin, DS (2001). The Alcohol Use Disorders and Associated Disabilities Interview Schedule – DSM-IV Version (AUDADIS-IV). National Institute on Alcohol Abuse and Alcoholism: Bethesda, MD.Google Scholar
Grant, BF, Dawson, DA, Stinson, FS, Chou, PS, Kay, W, Pickering, R (2003 a). The Alcohol Use Disorder and Associated Disabilities Interview Schedule-IV (AUDADIS-IV): reliability of alcohol consumption, tobacco use, family history of depression and psychiatric diagnostic modules in a general population sample. Drug and Alcohol Dependence 71, 7–16.CrossRefGoogle Scholar
Grant, BF, Dawson, DA, Stinson, FS, Chou, SP, Dufour, MC, Pickering, RP (2004 a). The 12-month prevalence and trends in DSM-IV alcohol abuse and dependence: United States, 1991–1992 and 2001–2002. Drug and Alcohol Dependence 74, 223–234.CrossRefGoogle ScholarPubMed
Grant, BF, Moore, TC, Shepard, J, Kaplan, K (2003 b). Source and Accuracy Statement: Wave 1 National Epidemiologic Survey on Alcohol and Related Conditions (NESARC). National Institute on Alcohol Abuse and Alcoholism: Bethesda, MD.Google Scholar
Grant, BF, Stinson, FS, Dawson, DA, Chou, SP, Dufour, MC, Compton, W, Pickering, RP, Kaplan, K (2004 b). Prevalence and co-occurrence of substance use disorders and independent mood and anxiety disorders: results from the National Epidemiologic Survey on Alcohol and Related Conditions. Archives of General Psychiatry 61, 807–816.CrossRefGoogle ScholarPubMed
Hasin, DS, Goodwin, RD, Stinson, FS, Grant, BF (2005). Epidemiology of major depressive disorder: results from the National Epidemiologic Survey on Alcoholism and Related Conditions. Archives of General Psychiatry 62, 1097–1106.CrossRefGoogle ScholarPubMed
Huang, FY, Chung, H, Kroenke, K, Delucchi, KL, Spitzer, RL (2006). Using the Patient Health Questionnaire-9 to measure depression among racially and ethnically diverse primary care patients. Journal of General Internal Medicine 21, 547–552.CrossRefGoogle ScholarPubMed
Iwata, N, Buka, S (2002). Race/ethnicity and depressive symptoms: a cross-cultural/ethnic comparison among university students in East Asia, North and South America. Social Science and Medicine 55, 2243–2252.CrossRefGoogle Scholar
Iwata, N, Turner, RJ, Lloyd, DA (2002). Race/ethnicity and depressive symptoms in community-dwelling young adults: a differential item functioning analysis. Psychiatry Research 110, 281–289.CrossRefGoogle Scholar
Kahler, CW, Strong, DR, Stuart, GL, Moore, TM, Ramsey, SE (2003). Item functioning of the alcohol dependence scale in a high-risk sample. Drug and Alcohol Dependence 72, 183–192.CrossRefGoogle Scholar
Kessler, RC, Berglund, P, Demler, O, Jin, R, Walters, EE (2005 a). Lifetime prevalence and age-of-onset distribution of DSM-IV disorders in the National Comorbidity Survey Replication. Archives of General Psychiatry 62, 593–602.CrossRefGoogle ScholarPubMed
Kessler, RC, Chiu, WT, Demler, O, Walters, EE (2005 b). Prevalence, severity, and comorbidity of 12-month DSM-IV disorders in the National Comorbidity Survey Replication. Archives of General Psychiatry 62, 617–627.CrossRefGoogle ScholarPubMed
Khan, AA, Gardner, CO, Prescott, CA, Kendler, KS (2002). Gender differences in the symptoms of major depression in opposite-sex dizygotic twin pairs. American Journal of Psychiatry 159, 1427–1429.CrossRefGoogle ScholarPubMed
Kirmayer, LJ (2001). Cultural variations in the clinical presentation of depression and anxiety: implications for diagnosis and treatment. Journal of Clinical Psychiatry 62 (Suppl. 13), 22–28.Google ScholarPubMed
Kirmayer, LJ, Robbins, JM, Dworkind, M, Yaffe, MJ (1993). Somatization and the recognition of depression and anxiety in primary care. American Journal of Psychiatry 150, 734–741.Google ScholarPubMed
Lesser, IM, Castro, DB, Gaynes, BN, Gonzalez, J, Rush, AJ, Alpert, JE, Trivedi, M, Luther, JF, Wisniewski, SR (2007). Ethnicity/race and outcome in the treatment of depression: results from STAR*D. Medical Care 45, 1043–1051.CrossRefGoogle ScholarPubMed
Lewis-Fernandez, R, Das, AK, Alfonso, C, Weissman, MM, Olfson, M (2005). Depression in US Hispanics: diagnostic and management considerations in family practice. Journal of the American Board of Family Practice 18, 282–296.CrossRefGoogle ScholarPubMed
Lord, FM (1980). Applications of Item Response Theory to Practical Testing Problems. Erlbaum: Hillsdale, NJ.Google Scholar
Muthen, LK, Muthen, BO (1998–2007). Mplus User's Guide, 5th edn. Muthen & Muthen: Los Angeles, CA.Google Scholar
Myers, HF, Lesser, I, Rodriguez, N, Mira, CB, Hwang, WC, Camp, C, Anderson, D, Erickson, L, Wohl, M (2002). Ethnic differences in clinical presentation of depression in adult women. Cultural Diversity and Ethnic Minority Psychology 8, 138–156.CrossRefGoogle ScholarPubMed
Rowe, R, Pickles, A, Simonoff, E, Bulik, CM, Silberg, JL (2002). Bulimic symptoms in the Virginia Twin Study of Adolescent Behavioral Development: correlates, comorbidity, and genetics. Biological Psychiatry 51, 172–182.CrossRefGoogle ScholarPubMed
Salokangas, RK, Vaahtera, K, Pacriev, S, Sohlman, B, Lehtinen, V (2002). Gender differences in depressive symptoms. An artifact caused by measurement instruments? Journal of Affective Disorders 68, 215–220.CrossRefGoogle Scholar
Santor, DA, Ramsay, JO, Zuroff, DC (1994). Nonparametric item analyses of the Beck Depression Inventory: evaluating gender item bias and response option weights. Psychological Assessment 6, 255–270.CrossRefGoogle Scholar
Silverstein, B (1999). Gender difference in the prevalence of clinical depression: the role played by depression associated with somatic symptoms. American Journal of Psychiatry 156, 480–482.CrossRefGoogle ScholarPubMed
Silverstein, B (2002). Gender differences in the prevalence of somatic versus pure depression: a replication. American Journal of Psychiatry 159, 1051–1052.CrossRefGoogle ScholarPubMed
Silverstein, B, Lynch, AD (1998). Gender differences in depression: the role played by paternal attitudes of male superiority and maternal modeling of gender-related limitations. Sex Roles 38, 539–555.CrossRefGoogle Scholar
Simon, GE, Von Korff, M (2006). Medical comorbidity and validity of DSM-IV depression criteria. Psychological Medicine 36, 27–36.CrossRefGoogle ScholarPubMed
Steinberg, L, Thissen, D (2006). Using effect sizes for research reporting: examples using item response theory to analyze differential item functioning. Psychological Methods 11, 402–415.CrossRefGoogle ScholarPubMed
Thissen, D (1991). MULTILOG User's Guide: Version 6. Scientific Software, Inc.: Chicago, IL.Google Scholar
Thissen, D (2001). IRTLRDIF v.2.0b: Software for the Computation of the Statistics Involved in Item Response Theory Likelihood-Ratio Tests for Differential Item Functioning (www.unc.edu/~dthissen/dl.html).Google Scholar
Thissen, D, Steinberg, L, Kuang, D (2002). Quick and easy implementation of the Benjamini–Hochberg procedure for controlling the false positive rate in multiple comparisons. Journal of Educational and Behavioral Statistics 27, 77–83.CrossRefGoogle Scholar
Thissen, D, Steinberg, L, Wainer, H (1993). Detection of differential item functioning using the parameters of item response models. In Differential Item Functioning (ed. Holland, P. W. and Wainer, H.), pp. 67–113. Lawrence Erlbaum Associates: Hillsdale, NJ.Google Scholar
Wenzel, A, Steer, RA, Beck, AT (2005). Are there any gender differences in frequency of self-reported somatic symptoms of depression? Journal of Affective Disorders 89, 177–181.CrossRefGoogle ScholarPubMed
Yen, S, Robins, CJ, Lin, N (2000). A cross-cultural comparison of depressive symptom manifestation: China and the United States. Journal of Consulting and Clinical Psychology 68, 993–999.CrossRefGoogle ScholarPubMed
Young, MA, Scheftner, WA, Fawcett, J, Klerman, GL (1990). Gender differences in the clinical features of unipolar major depressive disorder. Journal of Nervous and Mental Disease 178, 200–203.CrossRefGoogle ScholarPubMed