Table 1.

Characteristics of the Incidence Sample and the Setting-Level Variables per Catchment Area

Catchment AreaIncidence SampleSetting-Level Variables
All FEPIn ControlsIn Population
Cases, N (% of Total Across Catchment Areas)Women, N (%)aAge-at-First-Contact <35 (y), N (%)aMigrant/Ethnic Minority Groups,N (%)aDaily Cannabis, %bHigh-Potency Cannabis, %bUnemployment, %Owner-Occupancy, %Population Density, People per km2
England
 Southeast London262 (10.7)121 (46.2)144 (55.0)201 (76.7)12.526.55.335.06162.3
 Cambridgeshire266 (10.8)115 (43.2)187 (70.3)103 (38.7)3.49.53.067.0241.5
The Netherlands
 Amsterdam293 (11.9)104 (35.5)175 (59.7)204 (69.6)14.854.34.046.34908.0
 Gouda and Voorhoutc166 (6.7)65 (39.2)111 (66.9)40 (24.1)4.619.24.358.74208.0
Spain
 Madrid88 (3.6)30 (34.1)51 (58.0)12 (13.6)14.413.713.076.84997.2
 Barcelona108 (4.4)46 (42.6)78 (72.2)26 (24.1)15.519.914.074.312 326.5
 Valenciac59 (2.4)27 (45.8)38 (64.4)10 (16.9)10.312.017.782.714 468.0
 Oviedoc82 (3.3)42 (51.2)44 (53.7)15 (18.3)3.24.313.179.9141.9
 Santiagoc36 (1.5)15 (41.7)18 (50.0)1 (2.8)0.00.013.877.9102.2
 Cuencac27 (1.1)6 (22.2)20 (74.1)7 (25.9)2.73.817.081.911.6
France
 Val-de-Marne210 (8.5)102 (48.6)124 (59.0)67 (31.9)11.920.44.247.63721.3
Italy
 Bolognac165 (6.7)79 (47.9)107 (64.8)49 (29.7)1.18.53.271.42744.0
 Palermo179 (7.3)79 (44.1)114 (63.7)22 (12.3)3.44.48.370.24200.0
Brazil
 Ribeirão Preto519 (21.1)249 (48.0)308 (59.3)242 (46.6)7.22.14.480.8145.2
Total2460 (100)1080 (43.9)1519 (61.7)999 (40.6)NANANANANA
Meand (SD)NANANANA7.2 (5.7–8.7)12.2 (10.4–14.0)9.0 (5.5)67.9 (15.2)4169.8 (4486.8)
Catchment AreaIncidence SampleSetting-Level Variables
All FEPIn ControlsIn Population
Cases, N (% of Total Across Catchment Areas)Women, N (%)aAge-at-First-Contact <35 (y), N (%)aMigrant/Ethnic Minority Groups,N (%)aDaily Cannabis, %bHigh-Potency Cannabis, %bUnemployment, %Owner-Occupancy, %Population Density, People per km2
England
 Southeast London262 (10.7)121 (46.2)144 (55.0)201 (76.7)12.526.55.335.06162.3
 Cambridgeshire266 (10.8)115 (43.2)187 (70.3)103 (38.7)3.49.53.067.0241.5
The Netherlands
 Amsterdam293 (11.9)104 (35.5)175 (59.7)204 (69.6)14.854.34.046.34908.0
 Gouda and Voorhoutc166 (6.7)65 (39.2)111 (66.9)40 (24.1)4.619.24.358.74208.0
Spain
 Madrid88 (3.6)30 (34.1)51 (58.0)12 (13.6)14.413.713.076.84997.2
 Barcelona108 (4.4)46 (42.6)78 (72.2)26 (24.1)15.519.914.074.312 326.5
 Valenciac59 (2.4)27 (45.8)38 (64.4)10 (16.9)10.312.017.782.714 468.0
 Oviedoc82 (3.3)42 (51.2)44 (53.7)15 (18.3)3.24.313.179.9141.9
 Santiagoc36 (1.5)15 (41.7)18 (50.0)1 (2.8)0.00.013.877.9102.2
 Cuencac27 (1.1)6 (22.2)20 (74.1)7 (25.9)2.73.817.081.911.6
France
 Val-de-Marne210 (8.5)102 (48.6)124 (59.0)67 (31.9)11.920.44.247.63721.3
Italy
 Bolognac165 (6.7)79 (47.9)107 (64.8)49 (29.7)1.18.53.271.42744.0
 Palermo179 (7.3)79 (44.1)114 (63.7)22 (12.3)3.44.48.370.24200.0
Brazil
 Ribeirão Preto519 (21.1)249 (48.0)308 (59.3)242 (46.6)7.22.14.480.8145.2
Total2460 (100)1080 (43.9)1519 (61.7)999 (40.6)NANANANANA
Meand (SD)NANANANA7.2 (5.7–8.7)12.2 (10.4–14.0)9.0 (5.5)67.9 (15.2)4169.8 (4486.8)

Note: FEP, first-episode psychosis; IQR, interquartile range; NA, not applicable.

aPer catchment area.

bFollowing multiple imputation by chained equations (supplement 2) to impute missing cannabis use data among controls, with poststratification weights applied (supplement 3).

cExcluded from 8-setting analyses, which were restricted to settings with a maximum of 10% missing data on cannabis use in the control sample.

dSetting-level mean and SD, except cannabis use variables which show weighted mean cannabis use in controls and 95% CIs following multiple imputation across imputed datasets.

Table 1.

Characteristics of the Incidence Sample and the Setting-Level Variables per Catchment Area

Catchment AreaIncidence SampleSetting-Level Variables
All FEPIn ControlsIn Population
Cases, N (% of Total Across Catchment Areas)Women, N (%)aAge-at-First-Contact <35 (y), N (%)aMigrant/Ethnic Minority Groups,N (%)aDaily Cannabis, %bHigh-Potency Cannabis, %bUnemployment, %Owner-Occupancy, %Population Density, People per km2
England
 Southeast London262 (10.7)121 (46.2)144 (55.0)201 (76.7)12.526.55.335.06162.3
 Cambridgeshire266 (10.8)115 (43.2)187 (70.3)103 (38.7)3.49.53.067.0241.5
The Netherlands
 Amsterdam293 (11.9)104 (35.5)175 (59.7)204 (69.6)14.854.34.046.34908.0
 Gouda and Voorhoutc166 (6.7)65 (39.2)111 (66.9)40 (24.1)4.619.24.358.74208.0
Spain
 Madrid88 (3.6)30 (34.1)51 (58.0)12 (13.6)14.413.713.076.84997.2
 Barcelona108 (4.4)46 (42.6)78 (72.2)26 (24.1)15.519.914.074.312 326.5
 Valenciac59 (2.4)27 (45.8)38 (64.4)10 (16.9)10.312.017.782.714 468.0
 Oviedoc82 (3.3)42 (51.2)44 (53.7)15 (18.3)3.24.313.179.9141.9
 Santiagoc36 (1.5)15 (41.7)18 (50.0)1 (2.8)0.00.013.877.9102.2
 Cuencac27 (1.1)6 (22.2)20 (74.1)7 (25.9)2.73.817.081.911.6
France
 Val-de-Marne210 (8.5)102 (48.6)124 (59.0)67 (31.9)11.920.44.247.63721.3
Italy
 Bolognac165 (6.7)79 (47.9)107 (64.8)49 (29.7)1.18.53.271.42744.0
 Palermo179 (7.3)79 (44.1)114 (63.7)22 (12.3)3.44.48.370.24200.0
Brazil
 Ribeirão Preto519 (21.1)249 (48.0)308 (59.3)242 (46.6)7.22.14.480.8145.2
Total2460 (100)1080 (43.9)1519 (61.7)999 (40.6)NANANANANA
Meand (SD)NANANANA7.2 (5.7–8.7)12.2 (10.4–14.0)9.0 (5.5)67.9 (15.2)4169.8 (4486.8)
Catchment AreaIncidence SampleSetting-Level Variables
All FEPIn ControlsIn Population
Cases, N (% of Total Across Catchment Areas)Women, N (%)aAge-at-First-Contact <35 (y), N (%)aMigrant/Ethnic Minority Groups,N (%)aDaily Cannabis, %bHigh-Potency Cannabis, %bUnemployment, %Owner-Occupancy, %Population Density, People per km2
England
 Southeast London262 (10.7)121 (46.2)144 (55.0)201 (76.7)12.526.55.335.06162.3
 Cambridgeshire266 (10.8)115 (43.2)187 (70.3)103 (38.7)3.49.53.067.0241.5
The Netherlands
 Amsterdam293 (11.9)104 (35.5)175 (59.7)204 (69.6)14.854.34.046.34908.0
 Gouda and Voorhoutc166 (6.7)65 (39.2)111 (66.9)40 (24.1)4.619.24.358.74208.0
Spain
 Madrid88 (3.6)30 (34.1)51 (58.0)12 (13.6)14.413.713.076.84997.2
 Barcelona108 (4.4)46 (42.6)78 (72.2)26 (24.1)15.519.914.074.312 326.5
 Valenciac59 (2.4)27 (45.8)38 (64.4)10 (16.9)10.312.017.782.714 468.0
 Oviedoc82 (3.3)42 (51.2)44 (53.7)15 (18.3)3.24.313.179.9141.9
 Santiagoc36 (1.5)15 (41.7)18 (50.0)1 (2.8)0.00.013.877.9102.2
 Cuencac27 (1.1)6 (22.2)20 (74.1)7 (25.9)2.73.817.081.911.6
France
 Val-de-Marne210 (8.5)102 (48.6)124 (59.0)67 (31.9)11.920.44.247.63721.3
Italy
 Bolognac165 (6.7)79 (47.9)107 (64.8)49 (29.7)1.18.53.271.42744.0
 Palermo179 (7.3)79 (44.1)114 (63.7)22 (12.3)3.44.48.370.24200.0
Brazil
 Ribeirão Preto519 (21.1)249 (48.0)308 (59.3)242 (46.6)7.22.14.480.8145.2
Total2460 (100)1080 (43.9)1519 (61.7)999 (40.6)NANANANANA
Meand (SD)NANANANA7.2 (5.7–8.7)12.2 (10.4–14.0)9.0 (5.5)67.9 (15.2)4169.8 (4486.8)

Note: FEP, first-episode psychosis; IQR, interquartile range; NA, not applicable.

aPer catchment area.

bFollowing multiple imputation by chained equations (supplement 2) to impute missing cannabis use data among controls, with poststratification weights applied (supplement 3).

cExcluded from 8-setting analyses, which were restricted to settings with a maximum of 10% missing data on cannabis use in the control sample.

dSetting-level mean and SD, except cannabis use variables which show weighted mean cannabis use in controls and 95% CIs following multiple imputation across imputed datasets.

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