World Mental Health Survey, New Zealand, 2004-2005 (ICPSR 39709)

Version Date: Aug 10, 2026 View help for published

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Kate M. Scott, University of Otago; Mark A. Oakley Browne, Monash University; J. Elisabeth Wells, University of Otago; Mason Durie, Massey University; Collin Tukuitonga, World Health Organization

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https://doi.org/10.3886/ICPSR39709.v1

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The World Mental Health (WMH) Survey Initiative was launched as an effort to bring policymaker attention to the disparity between mental health service and demand. A key assumption of WMH was based on the idea that policymakers neglect mental disorder, in part, because much evidence of this disparity was based on expert ratings of comparative illness impact rather than empirical evidence. The World Health Organization (WHO) hoped that policymakers could be motivated to address the problem of unmet treatment needs if evidence of such needs were more concrete and better publicized. The approach taken by WMH is to conduct rigorous general population surveys in nationally representative samples in many countries throughout the world, to generate reputable data from these surveys on the prevalence, severity, course, and treatment of mental disorders. Data were collected using the WHO Composite International Diagnostic Interview (CIDI) which uses both ICD-10 and DSM-III diagnostic criteria. This survey was conducted in New Zealand and utilized the English version of the CIDI.

Scott, Kate M., Oakley Browne, Mark A., Wells, J. Elisabeth, Durie, Mason, and Tukuitonga, Collin. World Mental Health Survey, New Zealand, 2004-2005. Inter-university Consortium for Political and Social Research [distributor], 2026-08-10. https://doi.org/10.3886/ICPSR39709.v1

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New Zealand. Ministry of Health, Alcohol Advisory Council of New Zealand, Health Research Council of New Zealand, United States Department of Health and Human Services. National Institutes of Health. National Institute of Mental Health (R01 MH070884), John D. and Catherine T. MacArthur Foundation, Pfizer Foundation, United States. Public Health Service (R13-MH066849, R01-MH069864, R01 DA016558), United States Department of Health and Human Services. National Institutes of Health. Fogarty International Center (FIRCA R03-TW006481), Pan American Health Organization, Eli Lilly and Company, Ortho-McNeil, GlaxoSmithKline, Bristol-Myers Squibb Company

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This data collection may not be used for any purpose other than statistical reporting and analysis. Use of these data to learn the identity of any person or establishment is prohibited. To protect respondent privacy, the data file in this collection is restricted from general dissemination. To obtain this restricted file, researchers must agree to the terms and conditions of a Restricted Data Use Agreement.

Inter-university Consortium for Political and Social Research
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2004 -- 2005
2004 -- 2005
  1. For additional information on the World Mental Health (WMH) Survey Initiative, please visit the World Mental Health Survey Initiative website.
  2. Supporting documentation to distinguish Part I and II of the survey was not included. Users can utilize crosstabs on the weight variables FINALP1WT and FINALP2WT to determine whether variables in Datasets 1 and 2 were derived from Part I or II of the survey:

    • If a participant without valid values for FINALP2WT responded to a variable, that variable is in Part I of the survey.
    • Variables that only have responses from participants with FINALP2WT valid values are in Part II of the survey.

  3. The Restricted-Use Raw New Zealand Data were provided without complete variable and value labels, but with a P.I. Questionnaire. This Raw dataset and the corresponding documents are released to provide supplemental information. The Raw dataset is released as Restricted-Use because it contains the original, more granular variables that were used to create the constructed variables in the Public-Use Cleaned New Zealand Data and the Restricted-Use Cleaned New Zealand Data.

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The WMH Survey Initiative was designed to fill major gaps in global mental health data. Earlier estimates of the burden of mental and addictive disorders relied largely on literature reviews and isolated studies. WMH surveys provide nationally or regionally representative data to:

  • Estimate the prevalence and distribution of mental, substance use, and behavioral disorders
  • Identify risk and protective factors to inform prevention and intervention strategies
  • Describe patterns of service use, unmet need, and barriers to care
  • Improve estimates of the global burden of disease attributable to mental disorders for public health planning

The survey was administered in two parts. Part I was administered to all respondents. Part II was administered to a probability sub-sample of respondents based on responses to the Part I questions. In addition, a probability subsample of other Part I respondents (i.e., those who did not meet criteria for any core disorder) was also selected to complete Part II, while interviews with the remaining non-cases were ended after the completion of the Part I questions.

3 design stages; (1) Stratified by race/ethnicity and geographic region (units- census ED (mesh blocks; 132; 0)); (2) household; (3) random adult; oversampling for Maori and Pacific ethnicity

Cross-sectional

Adults aged 18 or older living in New Zealand.

Individuals

The overall response rate for this survey was 73.30% percent.

Composite International Diagnostic Interview (CIDI) Version 3.0

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2026-08-10

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The final analysis weight (FINALP1WT) for each respondent was computed as the product of three weight components: the selection weight factor for the respondent, the nonresponse weight adjustment factor for the respondent, and the post-stratification factor for the respondent. The final analysis weight (FINALP2WT) for each respondent administered Part II was computed similarly to FINALP1WT for that subsample of respondents. As a practical matter for analysts, the following decision rules should be applied when selecting the weight to use. When using only variables from Part I, the FINALP1WT weight variable should be used. For analyses with only Part II or a combination of Part I and Part II variables, the Part II weight or FINALP2WT should be used.

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Notes