PDF herunterladen
Psychiatr Prax 2014; 41(06): 324-330
DOI: 10.1055/s-0033-1349559
Originalarbeit
© Georg Thieme Verlag KG Stuttgart · New York

Messäquivalenz der Allgemeinen Depressionsskala (ADS 20) bei Menschen mit und ohne Migrationshintergrund unter geschlechtsspezifischer Perspektive

Measurement Invariance of the German Version of the Center for Epidemiological Studies Depression Scale (CES-D 20) among Males and Females with and without a History of Migration
Saša Maksimović
Medizinische Hochschule Hannover, Abteilung Sozialpsychiatrie und Psychotherapie
,
Marc Ziegenbein
Medizinische Hochschule Hannover, Abteilung Sozialpsychiatrie und Psychotherapie
,
Wielant Machleidt
Medizinische Hochschule Hannover, Abteilung Sozialpsychiatrie und Psychotherapie
,
Marcel Sieberer
Medizinische Hochschule Hannover, Abteilung Sozialpsychiatrie und Psychotherapie
› Institutsangaben
Weitere Informationen

Publikationsverlauf

Publikationsdatum:
02. Oktober 2013 (online)

Auch verfügbar auf
    Lizenzen und Reprints

Zusammenfassung

Ziel: Die Messäquivalenz der ADS 20 unter Frauen und Männern mit und ohne Migrationshintergrund wurde bisher nicht untersucht.

Methoden: Mit 2786 Datensätzen und der multigruppenkonfirmatorischen Faktorenanalyse wurden die starke faktorielle Invarianz der ADS 20 überprüft und latente Faktormittelwertdifferenzen geschätzt.

Ergebnisse: Die ADS 20 erwies sich, außer bei den männlichen Migranten, als messäquivalent. Die Migrantinnen hatten in 3 Subskalen signifikant erhöhte latente Faktormittelwerte.

Schlussfolgerungen: Geschlechterunterschiede in der Symptompräsentation sind unter den Migranten größer.

Abstract

Objective: The measurement invariance of the German version of the Center of Epidemiological Studies Depression scale (CES-D 20) among men and women with and without migration background has not been studied yet.

Methods: A total of 2786 employed persons without (female n = 1772, male n = 598) and with an immigrant background (female n = 301, male n = 115) were included in the study. The multi-group confirmatory factor analysis was used to test for the strong factorial invariance and to estimate latent mean differences.

Results: The factorial structure is invariat 1) across the female sub-sample, full scalar invariance is achieved, 2) compared to male non-migrants and female sub-sample, partial scalar invariance is achieved. 3) The male migrants show a different, three-factor structure with a mix-factor of depressive affect/somatic complaints. 4) Female migrants have significantly higher latent mean values in subscales.

Conclusion: The measurement invariance of the German CES-D 20 is given to that extent that meaningful comparisons in correlative coefficient and latent mean values can be made.

Schlüsselwörter

Allgemeine Depressions-Skala - Messäquivalenz - latente Faktormittelwertdifferenzen - Gender - Migration

Keywords

Center for Epidemiologic Studies Depression - measurement invariance - latent mean differences - gender - migration
 

  • Literatur

  • 1 Machleidt W, Heinz A. Dynamische Modelle der Migration. In: Machleidt W, Heinz A, Hrsg. Praxis der interkulturellen Psychiatrie und Psychotherapie: Migration und psychische Gesundheit. München: Elsevier, Urban & Fischer; 2011: 33-42
    CrossrefGoogle Scholar
  • 2 Kim G, Decoster J, Huang C et al. Race/ethnicity and the factor structure of the Center for Epidemiologic Studies Depression Scale: A meta-analysis. Cultur Divers Ethnic Minor Psychol 2011; 17: 381-396
    CrossrefPubMedGoogle Scholar
  • 3 Missinne S, Bracke P. Depressive symptoms among immigrants and ethnic minorities: a population based study in 23 European countries. Soc Psychiatry Psychiatr Epidemiol 2012; 47: 97-109
    CrossrefPubMedGoogle Scholar
  • 4 Lindert J, von Ehrenstein OS, Priebe S et al. Depression and anxiety in labor migrants and refugees – a systematic review and meta-analysis. Soc Sci Med 2009; 69: 246-257
    Google Scholar
  • 5 van de Vijver FJR, Leung K. Methodological Issues in Psychological Research on Culture. J Cro Cult Psych 2000; 31: 33-51
    PubMedGoogle Scholar
  • 6 van de Vijver FJR, Leung K. Methods and data analysis for cross-cultural research. Thousand Oaks, Calif: Sage; 1997
    Google Scholar
  • 7 Radloff LS. The CES-D Scale: A Self-Report Depression Scale for Research in the General Population. Appl Psych Measur 1977; 1: 385-401
    PubMedGoogle Scholar
  • 8 Shafer AB. Meta-analysis of the factor structures of four depression questionnaires: Beck, CES-D, Hamilton, and Zung. J Clin Psychol 2006; 62: 123-146
    CrossrefPubMedGoogle Scholar
  • 9 Guarnaccia PJ, Angel R, Worobey JL. The factor structure of the CES-D in the Hispanic Health and Nutrition Examination Survey: the influences of ethnicity, gender and language. Soc Sci Med 1989; 29: 85-94
    CrossrefPubMedGoogle Scholar
  • 10 Spijker J, van der Wurff FB, Poort EC et al. Depression in first generation labour migrants in Western Europe: the utility of the Center for Epidemiologic Studies Depression Scale (CES-D). Int J Geriat Psychiatry 2004; 19: 538-544
    CrossrefPubMedGoogle Scholar
  • 11 Posner SF, Stewart AL, Marín G et al. Factor variability of the Center for Epidemiological Studies Depression Scale (CES-D) among urban Latinos. Ethn Health 2001; 6: 137-144
    CrossrefPubMedGoogle Scholar
  • 12 Rivera-Medina CL, Caraballo JN, Rodríguez-Cordero ER et al. Factor structure of the CES-D and measurement invariance across gender for low-income Puerto Ricans in a probability sample. J Consult Clin Psychol 2010; 78: 398-408
    CrossrefPubMedGoogle Scholar
  • 13 Callahan CM, Wolinsky FD. The effect of gender and race on the measurement properties of the CES-D in older adults. Med Care 1994; 32: 341-356
    CrossrefPubMedGoogle Scholar
  • 14 Clark VA, Aneshensel CS, Frerichs RR et al. Analysis of effects of sex and age in response to items on the CES-D scale. Psychiatry Res 1981; 5: 171-181
    CrossrefPubMedGoogle Scholar
  • 15 Stommel M, Given BA, Given CW et al. Gender bias in the measurement properties of the Center for Epidemiologic Studies Depression Scale (CES-D). Psychiatry Res 1993; 49: 239-250
    CrossrefPubMedGoogle Scholar
  • 16 Schenk L, Bau A, Borde T et al. Mindestindikatorensatz zur Erfassung des Migrationsstatus. Bundesgesundheitsbl 2006; 49: 853-860
    CrossrefPubMedGoogle Scholar
  • 17 Hautzinger M, Bailer M. Allgemeine Depressions-Skala. Weinheim: Beltz Test GmbH; 2012
    Google Scholar
  • 18 Arbuckle J. IBM SPSS® Amos™ 19: User’s Guide. Chicago: SPSS Inc; 2010
    Google Scholar
  • 19 Vandenberg RJ, Lance CE. A Review and Synthesis of the Measurement Invariance Literature: Suggestions, Practices, and Recommendations for Organizational Research. Organi Res Meth 2000; 3: 4-70
    PubMedGoogle Scholar
  • 20 Meredith W. Measurement invariance, factor analysis and factorial invariance. Psychometr 1993; 58: 525-543
    PubMedGoogle Scholar
  • 21 Byrne BM, Shavelson RJ, Muthén B. Testing for the equivalence of factor covariance and mean structures: The issue of partial measurement invariance. Psychol Bull 1989; 105: 456-466
    CrossrefPubMedGoogle Scholar
  • 22 Hu L, Bentler PM. Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Str Equa Mod: A Multidisci J 1999; 6: 1-55
    PubMedGoogle Scholar
  • 23 Chen FF. Sensitivity of Goodness of Fit Indexes to Lack of Measurement Invariance. Str Equa Mod: A Multidisci J 2007; 14: 464-504
    PubMedGoogle Scholar
  • 24 Sörbom D. A general method for studying differences in factor means and factor structure between groups. Bri J of Math Statis Psych 1974; 27: 229-239
    PubMedGoogle Scholar
  • 25 Hancock GR. Effect size, power, and sample size determination for structured means modeling and mimic approaches to between-groups hypothesis testing of means on a single latent construct. Psychometr 2001; 66: 373-388
    PubMedGoogle Scholar
  • 26 Cohen J. Statistical power analysis for the behavioral sciences. Hillsdale, N.J: L. Erlbaum Associates; 1988
    Google Scholar
  • 27 Meade AW, Bauer DJ. Power and Precision in Confirmatory Factor Analytic Tests of Measurement Invariance. Stru Equa Mod: A Multidisci J 2007; 14: 611-635
    PubMedGoogle Scholar
  • 28 Kring AM, Gordon AH. Sex differences in emotion: Expression, experience, and physiology. J of Pers a Social Psych 1998; 74: 686-703
    PubMedGoogle Scholar
  • 29 Millsap RE, Kwok O. Evaluating the Impact of Partial Factorial Invariance on Selection in Two Populations. Psych Meth 2004; 9: 93-115
    PubMedGoogle Scholar
  • 30 van de Velde S, Bracke P, Levecque K. Gender differences in depression in 23 European countries. Cross-national variation in the gender gap in depression. Soc Sci Med 2010; 71: 305-313
    CrossrefPubMedGoogle Scholar