Hostname: page-component-78c5997874-j824f Total loading time: 0 Render date: 2024-11-10T16:10:30.915Z Has data issue: false hasContentIssue false

Differential criterion functioning of alcohol use symptomatology in major depressive disorder?

Published online by Cambridge University Press:  15 October 2007

M. T. Lynskey*
Affiliation:
Washington University School of Medicine, Department of Psychiatry, St Louis, USA
A. Agrawal
Affiliation:
Washington University School of Medicine, Department of Psychiatry, St Louis, USA
*
*Address for correspondence: M. T. Lynskey, Ph.D., Washington University School of Medicine, Department of Psychiatry, 660 S. Euclid, Box 8134, St Louis, MO 63110, USA. (Email: mlynskey@wustl.edu)

Abstract

Background

Major depressive disorder (MDD) and alcohol use disorders (AUDs) are among the most prevalent psychiatric disorders and are frequently co-morbid. However, some component of this co-morbidity may be artifactual and arise from the influence of current mental state on self-reports of AUD.

Method

This study examined whether past-year MDD is associated with differential criterion functioning (DCF) in reports of AUD symptomatology in male and female participants in the National Epidemiological Survey on Alcohol and Related Conditions (NEASRC).

Results

Reports of past-year AUD symptomatology were adequately summarized by a single-factor model in which each of the 11 abuse and dependence criteria had high factor loadings (0.71–0.93) and did not vary between men and women after allowing for threshold differences. Co-morbid MDD was associated with higher AUD mean scores. There was some evidence for DCF with past-year MDD being associated with a lower endorsement of use in hazardous situations among men whereas women with MDD were more likely to endorse both social/interpersonal problems and emotional/physical problems.

Conclusions

Several items assessing AUD display DCF in the presence of MDD. While these findings highlight the need to consider the possibility that mental state can influence reporting of psychiatric symptoms and potentially inflate estimates of co-morbidity, they suggest that only a negligible component of the co-morbidity between MDD and AUDs can be attributed to over-reporting of alcohol symptomatology conditional on current MDD.

Type
Original Articles
Copyright
Copyright © Cambridge University Press 2007

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

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, 475487.CrossRefGoogle ScholarPubMed
APA (1994). Diagnostic and Statistical Manual of Mental Disorders, 4th edn, revised. American Psychiatric Association: Washington, DC.Google Scholar
Asparouhov, T (2005). Sampling weights in latent variable modeling. Structural Equation Modeling 12, 411434.CrossRefGoogle Scholar
Briggs Gowan, MJ, Carter, AS, SchwabStone, M (1996). Discrepancies among mother, child, and teacher reports: examining the contributions of maternal depression and anxiety. Journal of Abnormal Child Psychology 24, 749765.CrossRefGoogle ScholarPubMed
Brook, DW, Brook, JS, Zhang, C, Cohen, P, Whiteman, M (2002). Drug use and the risk of major depressive disorder, alcohol dependence and substance use disorders. Archives of General Psychiatry 59, 10391044.CrossRefGoogle ScholarPubMed
Brown, SA, Schuckit, MA (1988). Changes in depression among abstinent alcoholics. Journal of Studies on Alcohol 49, 312317.CrossRefGoogle ScholarPubMed
Caron, C, Rutter, M (1991). Comorbidity in child psychopathology: concepts, issues and research strategies. Journal of Child Psychology and Psychiatry 32, 10631080.CrossRefGoogle ScholarPubMed
Cloninger, CR, Reich, T, Wetzel, R (1979). Alcoholism and affective disorders: familial associations and genetic models. In Alcoholism and Affective Disorders: Clinical, Genetic and Biochemical Studies (ed. Goodwin, D. W. and Erikson, C. K.), pp. 5786. Spectrum Publications: New York, NY.Google Scholar
Compton, WM, Conway, KP, Stinson, FS, Colliver, JD, Grant, BF (2005). Prevalence, correlates, and comorbidity of DSM-IV antisocial personality syndromes and alcohol and specific drug use disorders in the United States: results from the national epidemiologic survey on alcohol and related conditions. Journal of Clinical Psychiatry 66, 677685.CrossRefGoogle ScholarPubMed
Coryell, W, Winokur, G, Keller, M, Scheftner, W, Endicott, J (1992). Alcoholism and primary major depression: a family study approach to co-existing disorders. Journal of Affective Disorders 24, 9399.CrossRefGoogle ScholarPubMed
Dawson, DA, Grant, BF (1998). Family history of alcoholism and gender: their combined effects on DSM-IV alcohol dependence and major depression. Journal of Studies on Alcohol 59, 97106.CrossRefGoogle ScholarPubMed
De Los Reyes, A, Kazdin, AE (2005). Informant discrepancies in the assessment of childhood psychopathology: a critical review, theoretical framework, and recommendations for further study. Psychological Bulletin 131, 483509.CrossRefGoogle ScholarPubMed
Deykin, EY, Levy, JC, Wells, V (1987). Adolescent depression, alcohol and drug use. American Journal of Public Health 77, 178182.CrossRefGoogle Scholar
Fergusson, DM, Horwood, LJ, Ridder, EM, Beautrais, AL (2005). Subthreshold depression in adolescence and mental health outcomes in adulthood. Archives of General Psychiatry 62, 6672.CrossRefGoogle ScholarPubMed
Fergusson, DM, Lynskey, MT, Horwood, LJ (1993). The effect of maternal depression on maternal ratings of child behavior. Journal of Abnormal Child Psychology 21, 245270.CrossRefGoogle ScholarPubMed
Fu, Q, Heath, AC, Bucholz, KK, Nelson, EC, Golderg, J, Lyons, MJ, True, WR, Jacob, T, Tsuang, MT, Eisen, SA (2002). Shared genetic risk for major depression, alcohol dependence, and marijuana dependence: contribution of antisocial personality disorder in men. Archives of General Psychiatry 59, 11251132.CrossRefGoogle ScholarPubMed
Gershon, ES, Hamovit, J, Guroff, JJ, Dibble, E, Leckman, JF, Sceery, W, Targum, SD, Nurnberger, JI, Goldin, LR, Bunney, WE (1982). A family study of schizoaffective, bipolar, bipolar II, unipolar and normal control probands. Archives of General Psychiatry 39, 11571167.CrossRefGoogle ScholarPubMed
Goodwin, DW, Schulsinger, F, Hermansen, L, Guze, SB, Winokur, G (1973). Alcohol problems in adoptees raised apart from alcoholic biological parents. Archives of General Psychiatry 57, 803811.Google Scholar
Goodwin, DW, Schulsinger, F, Knop, J, Mednick, S, Guze, SB (1977). Alcoholism and depression in adopted-out daughters of alcoholics. Archives of General Psychiatry 34, 751755.CrossRefGoogle ScholarPubMed
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, 716.CrossRefGoogle Scholar
Grant, BF, Harford, TC (1995). Comorbidity between DSM-IV alcohol use disorders and major depression: results of a national survey. Drug and Alcohol Dependence 39, 197206.CrossRefGoogle ScholarPubMed
Grant, BF, Kaplan, K, Shepard, J, Moore, T (2003 b). Source and Accuracy Statement for Wave 1 of the 2001–2002 National Epidemiologic Survey on Alcohol and Related Conditions. National Institute on Alcohol Abuse and Alcoholism: Bethesda, MD.Google Scholar
Grant, BF, Stinson, FSA, Chou, P, Dufour, MC, Compton, W, Pickering, RP, Kaplan, K (2004). Prevalence and co-occurrence of substance use disorders and independent mood and anxiety disorders. Archives of General Psychiatry 61, 807816.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, 10971106.CrossRefGoogle ScholarPubMed
Hay, DF, Pawlby, S, Sharp, D, Schmucker, G, Mills, A, Allen, H, Kumar, R (1999). Parents' judgments about young children's problems: why mothers and fathers might disagree yet still predict later outcomes. Journal of Child Psychology and Psychiatry and Allied Disciplines 40, 12491258.CrossRefGoogle Scholar
Kendler, KS, Heath, AC, Neale, MC, Kessler, RC, Eaves, LJ (1993). Alcoholism and major depression in women: a twin study of the causes of comorbidity. Archives of General Psychiatry 50, 690698.CrossRefGoogle ScholarPubMed
Kessler, RC, Nelson, CB, McGonagle, KA, Liu, J, Swartz, M, Blazer, DG (1996). Comorbidity of DSM-III-R major depressive disorder in the general population: results from the US National Comorbidity Survey. British Journal of Psychiatry (Suppl.), 1730.CrossRefGoogle ScholarPubMed
Khantzian, EJ (1997). The self-medication hypothesis of substance use disorders: a reconsideration and recent applications. Harvard Review of Psychiatry 4, 231244.CrossRefGoogle ScholarPubMed
Kroes, M, Kalff, AC, Kessels, AG, Steyaert, J, Feron, FJ, van Someren, A, Hurks, PP, Hendriksen, JG, van Zeben, TM, Rozendaal, N, Crolla, IF, Troost, J, Jolles, J, Vles, JS (2001). Child psychiatric diagnoses in a population of Dutch schoolchildren aged 6 to 8 years. Journal of the American Academy of Child and Adolescent Psychiatry 40, 14011409.CrossRefGoogle Scholar
Kroes, G, Veerman, JW, De Bruyn, EEJ (2003). Bias in parental reports? Maternal psychopathology and the reporting of problem behavior in clinic-referred children. European Journal of Psychological Assessment 19, 195203.CrossRefGoogle Scholar
Kuo, P-H, Gardner, CO, Kendler, KS, Prescott, CA (2006). The temporal relationship of the onsets of alcohol dependence and major depression: using a genetically informative study design. Psychological Medicine 36, 11531162.CrossRefGoogle ScholarPubMed
Linacre, JM, Wright, BD (1987). Item bias: Mantel–Haenszel and the Rasch model (www.rasch.org/memo39.pdf).Google Scholar
Lynskey, MT (1998). The comorbidity of alcohol dependence and affective disorders. Drug and Alcohol Dependence 52, 201209.CrossRefGoogle ScholarPubMed
Merikangas, KR, Leckman, JF, Prusoff, BA, Pauls, DL, Weissman, MM (1985). Familial transmission of depression and alcoholism. Archives of General Psychiatry 42, 367372.CrossRefGoogle ScholarPubMed
Muthen, BO, Lehman, J (1985). Multiple group IRT modeling: applications to item bias analysis. Journal of Educational Statistics 10, 133142.CrossRefGoogle Scholar
Muthen, LK, Muthen, B (2006). MPlus: The Comprehensive Modeling Program for Applied Researchers, 4th edn. Muthen & Muthen: Los Angeles, CA.Google Scholar
Najman, JM, Williams, GM, Nikles, J, Spence, S, Bor, W, O'Callaghan, M, LeBrocque, R, Andersen, MJ, Shuttlewood, DJ (2001). Bias influencing maternal reports of child behavior and emotional state. Social Psychiatry and Psychiatric Epidemiology 36, 186194.CrossRefGoogle ScholarPubMed
Neale, MC, Kendler, KS (1995). Models of comorbidity for multifactorial disorders. American Journal of Human Genetics 57, 935953.Google ScholarPubMed
O'Brien, CP, Charney, DS, Lewis, L, Cornish, JW, Post, RM, Woody, GE, Zubieta, JK, Anthony, JC, Blaine, JD, Bowden, CL, Calabrese, JR, Carroll, K, Kosten, T, Rounsaville, B, Childress, AR, Oslin, DW, Pettinati, HM, Davis, MA, Demartino, R, Drake, RE, Fleming, MF, Fricks, L, Glassman, AH, Levin, FR, Nunes, EV, Johnson, RL, Jordan, C, Kessler, RC, Laden, SK, Regier, DA, Renner, JA, Ries, RK, Sklar-Blake, T, Weisner, C (2004). Priority actions to improve the care of persons with co-occurring substance abuse and other mental disorders: a call to action. Biological Psychiatry 56, 703713.CrossRefGoogle ScholarPubMed
Prescott, CA, Aggen, SH, Kendler, KS (2000). Sex-specific genetic influences on the comorbidity of alcoholism and major depression in a population-based sample of US twins. Archives of General Psychiatry 57, 803811.CrossRefGoogle Scholar
Ramsey, SE, Kahler, CW, Read, JP, Stuart, GL, Brown, RA (2004). Discriminating between substance-induced and independent depressive episodes in alcohol dependent patients. Journal of Studies on Alcohol 65, 672676.CrossRefGoogle ScholarPubMed
Renouf, AG, Kovacs, M (1994). Concordance between mothers' reports and children's self-reports of depressive symptoms: a longitudinal study. Journal of the American Academy of Child and Adolescent Psychiatry 33, 208216.CrossRefGoogle ScholarPubMed
Richters, JE (1992). Depressed mothers as informants about their children: a critical review of the evidence for distortion. Psychological Bulletin 112, 485499.CrossRefGoogle ScholarPubMed
Ross, HE (1995). DSM-III-R alcohol abuse and dependence and psychiatric comorbidity in Ontario: results from the Mental Health Supplement to the Ontario Health Survey. Drug and Alcohol Dependence 39, 111128.CrossRefGoogle Scholar
Saha, TD, Chou, SP, Grant, BF (2006). Toward an alcohol use disorder continuum using item response theory: results from the National Epidemiologic Survey on Alcohol and Related Conditions. Psychological Medicine 36, 931941.CrossRefGoogle ScholarPubMed
Saha, TD, Stinson, FS, Grant, BF (2007). The role of alcohol consumption in future classifications of alcohol use disorders. Drug and Alcohol Dependence 89, 8292.CrossRefGoogle ScholarPubMed
Schuckit, MA (2006). Comorbidity between substance use disorders and psychiatric conditions. Addiction 101 (Suppl. 1), 7688.CrossRefGoogle ScholarPubMed
Spaner, D, Bland, RC, Newman, SC (1994). Epidemiology of psychiatric disorders in Edmonton. Major depressive disorder. Acta Psychiatrica Scandinavica 376 (Suppl.), 715.CrossRefGoogle ScholarPubMed
Wells, JE, Horwood, LJ (2004). How accurate is recall of key symptoms of depression? A comparison of recall and longitudinal reports. Psychological Medicine 34, 10011011.CrossRefGoogle ScholarPubMed
Wender, PH, Kety, SS, Rosenthal, D, Schulsinger, F, Ortmann, J, Lunde, I (1986). Psychiatric disorders in the biological and adoptive families of adopted individuals with affective disorders. Archives of General Psychiatry 43, 923929.CrossRefGoogle ScholarPubMed