Skip to main content

Table 1 Socio-demographic characteristics of the AWI-Gen cohort according to study site and for the combined dataset (All sites), stratified according to substance use (current alcohol consumption and/or current tobacco use, including smoking, chewing, and using snuff)

From: Prevalence and socio-demographic correlates of tobacco and alcohol use in four sub-Saharan African countries: a cross-sectional study of middle-aged adults

 

Agincourt

Digkale

Nairobi

Nanoro

Navrongo

Soweto

All sites

Current users

Current non-users

p-value

Current users

Current non-users

p-value

Current users

Current non-users

p-value

Current users

Current non-users

p-value

Current users

Current non-users

p-value

Current users

Current non-users

p-value

Current users

Current non-users

p-value

N(%)

358 (24.40%)

1107 (75.60%)

 

655 (43.90%)

512 (56.10%)

 

485 (25.00%)

1457 (75.00%)

 

1467 (70.40%)

617 (29.60%)

 

1410 (70.00%)

604 (30.00%)

 

872 (42.90%)

1159 (57.00%)

 

5247 (49.00%)

5456 (51.00%)

 

Age (years)

52 (10)

51 (10)

0.1782

51 (10)

40.0 (10.5)

< 0.001

47 (9)

48 (9)

0.8415

50 (10)

49 (10)

< 0.001

51 (10)

51 (10)

0.3125

49 (10)

49 (10)

0.4236

50 (10)

49 (10)

< 0.001

Sex

  

< 0.001

  

< 0.001

  

< 0.001

  

0.674

  

< 0.001

  

< 0.001

  

< 0.001

 Women

85 (9.53%)

807 (90.47%)

 

380 (46.86%)

431 (53.14%)

 

91 (8.62%)

965 (91.38%)

 

727 (63.97%)

312 (30.03%)

 

628 (57.56%)

463 (42.44)%

 

49 (4.87%)a

957 (95.13%)a

 

1960 (33.25%)

3935 (66.75%)

 

 Men

273 (47.64%)

300 (52.36%)

 

275 (77.25%)

81 (22.75%)

 

394 (44.47%)

492 (55.53%)

 

741 (70.81%)

305 (29.19%)

 

782 (84.72%)

141 (15.28%)

 

823 (80.29%)

202 (19.71%)

 

3287 (68.37%)

1521 (31.63%)

 

Socioeconomic Status (Lowest to highest)

  

< 0.001

  

0.025

  

0.023

  

< 0.001

  

0.023

  

< 0.001

  

< 0.001

 1st Quintile

82 (36.28%)

144 (63.72%)

 

93 (63.27%)

54 (36.73%)

 

78 (33.19%)

157 (66.81%)

 

246 (73.21%)

90 (26.79%)

 

243 (65.32%)

129 (34.68%)

 

36 (15.52%)

196 (84.48%)

 

778 (50.26%)

770 (49.74%)

 

 2nd Quintile

103 (29.68%)

244 (70.32%)

 

155 (58.49%)

110 (41.51%)

 

107 (24.77%)

325 (75.23%)

 

303 (75.00%)

101 (25.00%)

 

250 (69.44%)

110 (30.56%)

 

100 (20.49%)

388 (79.51%)

 

1018 (44.34%)

1278 (55.66%)

 

 3rd Quintile

42 (22.95%)

141 (77.05%)

 

89 (58.17%)

64 (41.83%)

 

112 (24.89%)

338 (75.11%)

 

303 (74.81%)

102 (25.19%)

 

288 (74.42%)

99 (25.58%)

 

132 (40.87%)

191 (59.13%)

 

966 (50.82%)

935 (49.18%)

 

 4th Quintile

80 (22.99%)

268 (77.01%)

 

148 (58.04%)

107 (41.96%)

 

85 (21.46%)

311 (78.54%)

 

282 (73.06%)

104 (26.94%)

 

346 (73.15%)

127 (26.85%)

 

221 (63.51%)

127 (36.49%)

 

1162 (52.67%)

1044 (47.33%)

 

 5th Quintile

51 (14.13%)

310 (85.87%)

 

170 (49.13%)

176 (50.87%)

 

103 (24.01%)

326 (75.99%)

 

331 (60.62%)

215 (39.38%)

 

283 (67.22%)

138 (32.78%)

 

373 (76.59%)

114 (23.41%)

 

1311 (50.62%)

1279 (49.38%)

 

Marital status

  

< 0.001

  

0.016

  

< 0.001

  

0.140

  

< 0.001

  

< 0.001

  

< 0.001

 Never married or co-habited

49 (36.57%)

85 (63.43%)

 

156 (54.17%)

132 (45.83%)

 

13 (15.66%)

70 (84.34%)

 

10 (58.82%)

7 (41.18%)

 

16 (80.00%)

4 (20.00%)

 

239 (75.63%)

77 (24.37%)

 

483 (56.29%)

375 (43.71%)

 

 Married/living with partner

252 (25.66%)

730 (74.34%)

 

324 (53.64%)

280 (46.36%)

 

374 (28.90%)

920 (71.10%)

 

1271 (70.03%)

544 (29.97%)

 

1067 (72.05%)

414 (27.95%)

 

446 (53.35%)

390 (46.65%)

 

3734 (53.25%)

3278 (46.75%)

 

 Divorced/Widowed

57 (16.33%)

292 (83.67%)

 

175 (63.64%)

100 (36.36%)

 

98 (17.38%)

466 (82.62%)

 

185 (75.20%)

61 (24.80%)

 

327 (63.87%)

185 (36.13%)

 

165 (30.78%)

371 (69.22%)

 

1007 (40.57%)

1475 (59.43%)

 

Highest education completed

  

0.060

  

< 0.001

  

0.006

  

0.086

  

0.403

  

< 0.001

  

< 0.001

 No Formal education

106 (26.30%)

297 (73.70%)

 

63 (65.62%)

33 (34.38%)

 

25 (17.01%)

122 (82.99%)

 

1229 (71.54%)

489 (28.46%)

 

980 (69.36%)

433 (30.64%)

 

7 (70.00%)

3 (30.00%)

 

2410 (63.64%)

1377 (36.36%)

 

 Primary

148 (25.74%)

427 (74.26%)

 

250 (64.77%)

136 (35.23%)

 

263 (23.69%)

847 (76.31%)

 

157 (65.69%)

82 (34.31%)

 

282 (73.63%)

101 (26.37%)

 

122 (16.18%)

632 (83.82%)

 

1222 (35.45%)

2225 (64.55%)

 

 Secondary

91 (22.86%)

307 (77.14%)

 

328 (51.01%)

315 (48.99%)

 

187 (28.38%)

472 (71.62%)

 

62 (64.58%)

34 (35.42%)

 

121 (69.14%)

54 (30.86%)

 

620 (69.27%)

275 (30.73%)

 

1409 (49.16%)

1457 (50.84%)

 

 Tertiary

12 (13.64%)

76 (86.36%)

 

14 (34.15%)

27 (65.85%)

 

10 (38.46%)

16 (61.54%)

 

15 (83.33%)

3 (16.67%)

 

24 (66.67%)

12 (33.33%)

 

106 (69.28%)

47 (30.72%)

 

181 (50.00%)

181 (50.00%)

 

Employment status

  

0.700

  

0.259

  

0.168

  

0.380

  

< 0.001

  

0.018

  

< 0.001

 Unemployed

215 (24.32%)

669 (75.68%)

 

396 (54.70%)

328 (45.30%)

 

22 (19.47%)

91 (80.53%)

 

13 (61.90%)

8 (38.10%)

 

564 (75.20%)

186 (24.80%)

 

322 (39.75%)

488 (60.25%)

 

1532 (46.40%)

1770 (53.60%)

 

 Employed

117 (23.40%)

383 (76.60$)

 

255 (58.09%)

184 (41.91%)

 

461 (25.25%)

1365 (74.75%)

 

1453 (70.67%)

603 (29.33%)

 

842 (66.93%)

416 (33.07%)

 

550 (45.05%)

671 (54.95%)

 

3678 (50.38%)

3622 (49.62%)

 
  1. Continuous variables are presented as medians and interquartile range. Mann-Whitney Wilcoxon test has been used to assess differences
  2. Categorical variables are presented as number and percentage. Chi-squared or Fisher’s exact test (when Chi-squared test conditions were not fulfilled) were used to assess differences
  3. aThis only accounts for smoking since alcohol consumption data have not been collected for women in Soweto