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. 2010 Oct 12;16(12):1234–1246. doi: 10.1038/mp.2010.101

Table 1. WMH sample characteristics by World Bank income categoriesa.

  Survey Sample characteristicsc Field dates Age range Sample size
Response rated
          Part I Part IIe  
I. Low/lower-middle-income countries
 Colombia NSMH Stratified multistage clustered area probability sample of household residents in all urban areas of the country (approximately 73% of the total national population) 2003 18–65 4426 2381 87.7
 India WMHI Stratified multistage clustered area probability sample of household residents in Pondicherry region. NR 2003–2005 18+ 2992 1373 98.8
 Iraq IMHS Stratified multistage clustered area probability sample of household residents. NR 2006–2007 18+ 4332 4332f 95.2
 Nigeria NSMHW Stratified multistage clustered area probability sample of households in 21 of the 36 states in the country, representing 57% of the national population. The surveys were conducted in Yoruba, Igbo, Hausa and Efik languages. 2002–2003 18+ 6752 2143 79.3
 PRC B-WMH S-WMH Stratified multistage clustered area probability sample of household residents in the Beijing and Shanghai metropolitan areas. 2002–2003 18+ 5201 1628 74.7
 PRC Shenzhen Stratified multistage clustered area probability sample of household residents and temporary residents in the Shenzhen area. 2006–2007 18+ 7134 2475 80.0
 Ukraine CMDPSD Stratified multistage clustered area probability sample of household residents. NR 2002 18+ 4725 1719 78.3
 Total         35 562 16 051 82.6
               
II. Upper-middle-income countries
 Brazil São Paulo Megacity Stratified multistage clustered area probability sample of household residents in the São Paulo metropolitan area. 2005–2007 18+ 5037 2942 81.3
 Bulgaria NSHS Stratified multistage clustered area probability sample of household residents. NR 2003–2007 18+ 5318 2233 72.0
 Lebanon LEBANON Stratified multistage clustered area probability sample of household residents. NR 2002–2003 18+ 2857 602 70.0
 Mexico M-NCS Stratified multistage clustered area probability sample of household residents in all urban areas of the country (approximately 75% of the total national population). 2001–2002 18–65 5782 2362 76.6
 Romania RMHS Stratified multistage clustered area probability sample of household residents. NR 2005–2006 18+ 2357 2357f 70.9
 South Africa SASH Stratified multistage clustered area probability sample of household residents. NR 2003–2004 18+ 4315 4315f 87.1
 Total         25 666 14 811 76.6
               
III. High-income countries
 Belgium ESEMeD Stratified multistage clustered probability sample of individuals residing in households from the national register of Belgium residents. NR 2001–2002 18+ 2419 1043 50.6
 France ESEMeD Stratified multistage clustered sample of working telephone numbers merged with a reverse directory (for listed numbers). Initial recruitment was by telephone, with supplemental in-person recruitment in households with listed numbers. NR 2001–2002 18+ 2894 1436 45.9
 Germany ESEMeD Stratified multistage clustered probability sample of individuals from community resident registries. NR 2002–2003 18+ 3555 1323 57.8
 Israel NHS Stratified multistage clustered area probability sample of individuals from a national resident register. NR 2002–2004 21+ 4859 4859f 72.6
 Italy ESEMeD Stratified multistage clustered probability sample of individuals from municipality resident registries. NR 2001–2002 18+ 4712 1779 71.3
 Japan WMHJ2002–2006 Un-clustered two-stage probability sample of individuals residing in households in eleven metropolitan areas 2002–2006 20+ 4129 1682 55.1
 The Netherlands ESEMeD Stratified multistage clustered probability sample of individuals residing in households that are listed in municipal postal registries. NR 2002–2003 18+ 2372 1094 56.4
 New Zealandb NZMHS Stratified multistage clustered area probability sample of household residents. NR 2003–2004 18+ 12 790 7312 73.3
 N. Ireland NISHS Stratified multistage clustered area probability sample of household residents. NR 2004–2007 18+ 4340 1708 68.4
 Portugal NMHS Stratified multistage clustered area probability sample of household residents. NR 2008–2009 18+ 3849 2060 57.3
 Spain ESEMeD Stratified multistage clustered area probability sample of household residents. NR 2001–2002 18+ 5473 2121 78.6
 United States NCS-R Stratified multistage clustered area probability sample of household residents. NR 2002–2003 18+ 9282 5692 70.9
 Total         60 674 32 109 65.4
               
IV. Total         121 902 62 971 72.0

Abbreviations: B-WMH, The Beijing World Mental Health Survey; CMDPSD, Comorbid Mental Disorders during Periods of Social Disruption; ESEMeD, The European Study Of The Epidemiology Of Mental Disorders; IMHS, Iraq Mental Health Survey; LEBANON, Lebanese Evaluation of the Burden of Ailments and Needs of the Nation; M-NCS, The Mexico National Comorbidity Survey; NCS-R, The US National Comorbidity Survey Replication; NHS, Israel National Health Survey; NISHS, Northern Ireland Study of Health and Stress; NMHS, Portugal National Mental Health Survey; NR, Nationally Representative; NSHS, Bulgaria National Survey of Health and Stress; NSMH, The Colombian National Study of Mental Health; NSMHW, The Nigerian Survey of Mental Health and Wellbeing; NZMHS, New Zealand Mental Health Survey; RMHS, Romania Mental Health Survey; SASH, South Africa Health Survey; S-WMH, The Shanghai World Mental Health Survey; WMH, World Mental Health; WMHI, World Mental Health India; WMHJ2002–2006, World Mental Health Japan Survey.

a

The World Bank. (2008). Data and Statistics. Accessed 12 May 2009 at: http://go.worldbank.org/D7SN0B8YU0

b

New Zealand interviewed respondents aged 16+ but for the purposes of cross-national comparisons, we limit the sample to those aged 18+.

c

Most WMH surveys are based on stratified multistage clustered area probability household samples in which samples of areas equivalent to counties or municipalities in the United States were selected in the first stage followed by one or more subsequent stages of geographic sampling (for example, towns within counties, blocks within towns, households within blocks) to arrive at a sample of households, in each of which a listing of household members was created and one or two people were selected from this listing to be interviewed. No substitution was allowed when the originally sampled household resident could not be interviewed. These household samples were selected from Census area data in all countries other than France (where telephone directories were used to select households) and The Netherlands (where postal registries were used to select households). Several WMH surveys (Belgium, Germany, Italy) used municipal resident registries to select respondents without listing households. The Japanese sample is the only totally unclustered sample, with households randomly selected in each of the four sample areas and one random respondent selected in each sample household. Of the 24 surveys, 18 are based on nationally representative (NR) household samples.

d

The response rate is calculated as the ratio of the number of households in which an interview was completed to the number of households originally sampled, excluding from the denominator households known not to be eligible either because of being vacant at the time of initial contact or because the residents were unable to speak the designated languages of the survey. Mean response rate across all surveys is 72.0%.

e

Only respondents from Part II who were asked questions about chronic conditions are included.

f

Iraq, Israel, Romania and South Africa did not have Part II sample.