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Table 1 Sociodemographic characteristics of participants in the Americas

From: Is the meaning of subjective well-being similar in Latin American countries? A cross-cultural measurement invariance study of the WHO-5 well-being index during the COVID-19 pandemic

Socio-demographic data

Argentina (n = 325)

Bolivia (n = 252)

Chile (n = 524)

Colombia (n = 372)

Cuba (n = 317)

Ecuador (n = 451)

Age (M ± SD)

44 ± 16.2

39.3 ± 14.5

36.4 ± 12

30.5 ± 13.1

25.1 ± 7.3

29.1 ± 10.6

Gender, n (%)

      

 Male

76 (23.4%)

75 (29.8%)

124 (23.7%)

101 (27.2%)

118 (37.2%)

137 (30.4%)

 Female

249 (76.6%)

177 (70.2%)

400 (76.3%)

271 (72.8%)

199 (62.8%)

314 (69.6%)

Marital status, n (%)

      

 Single

144 (44.3%)

125 (49.6%)

257 (49%)

267 (71.8%)

205 (64.7%)

309 (68.5%)

 Married

95 (29.2%)

82 (32.5%)

142 (27.1%)

59 (15.9%)

48 (15.1%)

92 (20.4%)

 Divorced

30 (9.2%)

31 (12.3%)

41 (7.8%)

13 (3.5%)

13 (4.1%)

32 (7.1%)

 Cohabitating

41 (12.6%)

9 (3.6%)

80 (15.3%)

28 (7.5%)

50 (15.8%)

14 (3.1%)

 Widow

15 (4.6%)

5 (2%)

4 (.8%)

5 (1.3%)

1 (.3%)

4 (.9%)

Educational level, n (%)

      

 Incomplete elementary school

0 (0%)

0 (0%)

0 (0%)

0 (0%)

0 (0%)

0 (0%)

 Completed elementary school

3 (.9%)

1 (.4%)

1 (.2%)

1 (.3%)

0 (0%)

1 (.1%)

 Incomplete high school

5 (1.5%)

5 (2%)

3 (.6%)

8 (2.2%)

4 (.9%)

5 (1.1%)

 Completed high school

31 (9.5%)

7 (2.8%)

21 (4%)

64 (17.2%)

5 (1.6%)

72 (16%)

 Incomplete technical studies

4 (1.2%)

0 (0%)

8 (1.5%)

7 (1.9%)

1 (.3%)

4 (.9%)

 Completed technical studies

32 (9.8%)

15 (6%)

43 (8.2%)

36 (9.7%)

10 (3.2%)

11 (2.4%)

 Incomplete university degree

84 (25.8%)

60 (23.8%)

106 (20.2%)

118 (31.7%)

150 (47.3%)

130 (28.8%)

 Completed university degree

166 (51.1%)

164 (65.1%)

342 (65.3%)

138 (37.1%)

148 (46.7%)

228 (50.6%)

Employment status, n (%)

      

 Permanent job

207 (63.7%)

106 (42.1%)

300 (57.3%)

188 (31.7%)

227 (71.6%)

170 (37.7%)

 Temporary job

41 (12.6%)

59 (23.4%)

77 (14.7%)

66 (17.7%)

14 (4.4%)

70 (15.5%)

 Unemployed

77 (23.7%)

87 (34.5%)

147 (28.1%)

188 (50.5%)

76 (24%)

211 (46.8%)

Area of residence, n (%)

      

 Urban

309 (95.1%)

243 (96.4%)

452 (86.3%)

344 (92.5%)

278 (87.7%)

338 (74.9%)

 Rural

16 (4.9%)

9 (3.6%)

72 (13.7%)

28 (7.5%)

39 (12.3%)

113 (25.1%)

Had COVID-19, n (%)

      

 Yes

50 (15.4%)

73 (29%)

30 (5.7%)

69 (18.5%)

5 (1.6%)

73 (16.2%)

 No

216 (66.5%)

137 (54.4%)

437 (83.4%)

211 (56.7%)

275 (86.8%)

286 (63.4%)

 I don’t know, but I think so

19 (5.8%)

28 (11.1%)

15 (2.9%)

53 (14.2%)

9 (2.8%)

52 (11.5%)

 I don’t know, but I don’t think so

40 (12.3%)

14 (5.6%)

42 (8%)

39 (10.5%)

28 (8.8%)

40 (8.9%)

Family with COVID-19, n (%)

      

 Yes

169 (52%)

196 (77.8%)

227 (43.3%)

239 (64.2%)

77 (24.3%)

244 (54.4%)

 No

156 (48%)

56 (22.2%)

297 (56.7%)

133 (35.8%)

240 (75.7%)

207 (45.9%)

Friends with COVID-19, n (%)

      

 Yes

284 (87.4%)

241 (95.6%)

335 (63.9%)

306 (82.3%)

179 (56.5%)

375 (83.1%)

 No

41 (12.6%)

11 (4.4)

189 (36.1%)

66 (17.7%)

138 (43.5%)

76 (16.9%)

 Socio-demographic data

El Salvador (n = 698)

Guatemala (n = 324)

Mexico (n = 300)

Paraguay (n = 877)

Peru (n = 360)

Uruguay (n = 383)

Age (M ± SD)

29.4 ± 8.9

41.6 ± 12.2

33.6 ± 13.7

31.5 ± 10.9

31.8 ± 10.9

38.9 ± 14.3

Gender, n (%)

      

 Male

260 (37.2%)

114 (35.2%)

98 (32.7%)

212 (24.2%)

114 (31.7%)

80 (20.9%)

 Female

438 (62.8%)

210 (64.8%)

202 (67.3%)

665 (75.8%)

246 (68.3%)

303 (79.1%)

Marital status, n (%)

      

 Single

507 (72.6%)

126 (28.9%)

168 (56%)

577 (65.8%)

231 (64.2%)

171 (44.6%)

 Married

127 (18.2%)

146 (45.1%)

95 (31.7%)

202 (23%)

69 (19.2%)

87 (22.7%)

 Divorced

11 (1.6%)

26 (8%)

18 (6%)

25 (2.9%)

17 (4.7%)

43 (11.2%)

 Cohabitating

51 (7.3%)

20 (6.2%)

14 (4.7%)

67 (7.6%)

41 (11.4%)

75 (19.6%)

 Widow

2 (.3%)

6 (1.9%)

5 (1.7%)

6 (.7%)

2 (.6%)

7 (1.8%)

Educational level, n (%)

      

 Incomplete elementary school

13 (1.9%)

0 (0%)

0 (0%)

0 (0%)

1 (.1%)

0 (0%)

 Completed elementary school

10 (1.4%)

1 (.3%)

0 (0%)

4 (.5%)

0 (0%)

1 (.3%)

Incomplete high school

48 (6.9%)

10 (3.1%)

1 (.3%)

17 (1.9%)

4 (1.1%)

24 (6.3%)

 Completed high school

106 (15.2%)

21 (6.5%)

20 (6.7%)

76 (8.7%)

14 (3.9%)

36 (9.4%)

 Incomplete technical studies

8 (1.1%)

6 (1.9%)

4 (1.3%)

2 (.2%)

7 (1.9%)

1 (.3%)

 Completed technical studies

31 (4.4%)

18 (5.6%)

42 (14%)

20 (2.3%)

21 (5.8%)

38 (9.9%)

 Incomplete university degree

279 (40%)

67 (20.7%)

82 (27.3%)

292 (33.3%)

105 (29.2%)

113 (29.5%)

 Completed university degree

203 (29.1%)

201 (62%)

151 (50.3%)

466 (53.1%)

208 (57.8%)

170 (44.4%)

Employment status, n (%)

      

 Permanent job

370 (53%)

223 (68.8%)

142 (47.3%)

487 (55.5%)

150 (41.7%)

268 (70%)

 Temporary job

86 (12.3%)

45 (13.9%)

57 (19%)

149 (17%)

77 (21.4%)

24 (6.3%)

 Unemployed

242 (34.7%)

56 (17.3%)

101 (33.7%)

241 (27.5%)

133 (36.9%)

91 (23.8%)

Area of residence, n (%)

      

 Urban

550 (78.8%)

304 (93.8%)

279 (93%)

774 (88.3%)

318 (88.3%)

370 (96.6%)

 Rural

148 (21.2%)

20 (6.2%)

21 (7%)

103 (11.7%)

42 (11.7%)

13 (3.4%)

Had COVID-19, n (%)

      

 Yes

113 (16.2%)

28 (8.6%)

47 (15.7%)

132 (15.1%)

74 (20.6%)

10 (2.6%)

 No

348 (49.9%)

256 (79%)

196 (65.3%)

556 (63.4%)

205 (56.9%)

320 (83.6%)

 I don't know, but I think so

177 (25.4%)

24 (7.4%)

27 (9%)

94 (10.7%)

53 (14.7%)

5 (1.3%)

 I don't know, but I don't think so

60 (8.6%)

16 (4.9%)

30 (10%)

95 (10.8%)

28 (7.8%)

48 (12.5%)

Family with COVID-19, n (%)

      

 Yes

356 (51%)

190 (58.6%)

208 (69.3%)

465 (53%)

243 (67.5%)

81 (21.1%)

 No

342 (49%)

134 (41.4%)

92 (30.7%)

412 (47%)

117 (32.5%)

302 (78.9%)

Friends with COVID-19, n (%)

      

 Yes

514 (73.6%)

289 (89.2%)

252 (84%)

702 (80%)

310 (86.1%)

152 (39.7%)

 No

184 (26.4%)

35 (10.8%)

48 (16%)

175 (20%)

50 (13.9%)

231 (60.3%)