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. Author manuscript; available in PMC: 2015 Apr 1.
Published in final edited form as: Psychol Med. 2013 Aug 9;44(6):1303–1317. doi: 10.1017/S0033291713001943

Table 1.

WMH sample characteristics by World Bank income categoriesa

Country by income category Surveyb Sample characteristicsc Field dates Age range Sample Size Response rated
Part1 Part2
I. Low and lower middle income countries
Colombia NSMH All urban areas of the country (approximately 73% of the total national population) 2003 18–65 4426 2381 87.7
India - Pondicherry WMHI Pondicherry region. 2003–5 18–97 2992 1373 98.8
Iraq IMHS Nationally representative. 2006–7 18–96 4332 4332 95.2
Nigeria NSMHW 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. 2002–3 18–100 6752 2143 79.3
PRCe– Beijing/Shanghai B-WMH
S-WMH
Beijing and Shanghai metropolitan areas. 2002–3 18–70 5201 1628 74.7
PRCe- Shenzhen Shenzhen Shenzhen metropolitan area. Included temporary residents as well as household residents. 2006–7 18–88 7132 2475 80.0
Ukraine CMDPSD Nationally representative. 2002 18–91 4724 1719 78.3
Total 35559 16051
II. Upper-middle income countries
Brazil – São Paulo São PauloMegacity São Paulo metropolitanarea. 2005–7 18–93 5037 2942 81.3
Bulgaria NSHS Nationally representative. 2003–7 18–98 5318 2233 72.0
Lebanon LEBANON Nationally representative. 2002–3 18–94 2857 1031 70.0
Mexico M-NCS All urban areas of the country (approximately 75% of the total national population). 2001–2 18–65 5782 2362 76.6
Romania RMHS Nationally representative. 2005–6 18–96 2357 2357 70.9
South Africa SASH Nationally representative. 2003–4 18–92 4315 4315 87.1
Total 25666 15240
III. High-income countries
Belgium ESEMeD Nationally representative. The sample was selected from a national register of Belgium residents 2001–2 18–95 2419 1043 50.6
France ESEMeD Nationally representative. The sample was selected from a national list of households with listed telephone numbers. 2001–2 18–97 2894 1436 45.9
Germany ESEMeD Nationally representative. 2002–3 18–95 3555 1323 57.8
Israel NHS Nationally representative. 2002–4 21–98 4859 4859 72.6
Italy ESEMeD Nationally representative. The sample was selected from municipality resident registries. 2001–2 18–100 4712 1779 71.3
Japan WMHJ2002–2006 Eleven metropolitan areas. 2002–6 20–98 4129 1682 55.1
Netherlands ESEMeD Nationally representative. The sample was selected from municipal postal registries. 2002–3 18–95 2372 1094 56.4
New Zealand NZMHS Nationally representative. 2003–4 18–98 12790 7312 73.3
Northern Ireland NISHS Nationally representative. 2004–7 18–97 4340 1986 68.4
Portugal NMHS Nationally representative. 2008–9 18–81 3849 2060 57.3
Spain ESEMeD Nationally representative. 2001–2 18–98 5473 2121 78.6
United States NCS-R Nationally representative. 2002–3 18–99 9282 5692 70.9
Total 60674 32387
IV. Total 121899 63678 72.0
a

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

b

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

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 US were selected in the first stage followed by one or more subsequent stages of geographic sampling (e.g., 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 un-clustered sample, with households randomly selected in each of the eleven metropolitan areas and one random respondent selected in each sample household. 17 of the 25 surveys are based on nationally representative 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. The weighted average response rate is 72.0%.

e

People’s Republic of China