樱花视频

Skip to main content

Table 2 Breakdown by sociodemographic status across forms of tobacco used (smoked and smokeless)

From: Tobacco use and its determinants in the 2015 Kenya WHO STEPS survey

Characteristic

Non user

One form only

Smoked & smokeless

Total (N)

n, (%)

n, (%)

n, (%)

Sex

鈥僊补濒别

1675 (76.6)

493 (22.6)

16 (0.7)

2186

鈥僃别尘补濒别

2203 (95.9)

92 (4.0)

3 (0.1)

2298

Total*

3879 (86.5)

585 (13.1)

18 (0.4)

4484

Age groups

鈥18鈥29

1860 (90.2)

194 (9.4)

7 (0.3)

2062

鈥30鈥39

886 (84.8)

150 (14.4)

7 (0.6)

1045

鈥40鈥49

582 (83.8)

110 (15.9)

2 (0.3)

695

鈥50鈥59

362 (81.8)

81 (18.2)

0 (0.0)

443

鈥60鈥69

188 (78.4)

49 (20.7)

2 (1.0)

239

Total*

3879 (86.5)

585 (13.1)

18 (0.4)

4484

Education level

鈥僋辞 formal education

450 (79.9)

107 (19)

6 (1.1)

563

鈥働rimary education

1722 (84.3)

313 (15.3)

8 (0.4)

2043

鈥侨别肠辞苍诲ary and above

1706 (90.9)

166 (8.8)

4 (0.2)

1877

Total*

3879 (86.5)

585 (13.1)

18 (0.4)

4484

Residence

鈥僐耻谤补濒

2402 (86.5)

360 (13.0)

13 (0.5)

2776

鈥僓谤产补苍

1477 (86.5)

225 (13.2)

5 (0.3)

1708

Total*

3879 (86.5)

585 (13.1)

18 (0.4)

4484

Occupation

鈥僓苍别尘辫濒辞测别诲

1583 (88)

211 (11.7)

5 (0.3)

1799

鈥僂尘辫濒辞测别诲

2295 (85.5)

374 (13.9)

14 (0.5)

2685

Total*

3879 (86.5)

585 (13.1)

18 (0.4)

4484

Ever consumed alcohol

鈥僋辞

2421 (95.0)

125 (4.9)

3 (0.1)

2549

鈥僘别蝉

1457 (75.3)

460 (23.8)

15 (0.8)

1934

Total*

3877 (86.5)

585 (13.1)

18 (0.4)

4483

Wealth band

鈥働辞辞谤别蝉迟

693 (81.7)

150 (17.7)

4 (0.5)

848

鈥侨别肠辞苍诲

813 (86.7)

120 (12.8)

4 (0.5)

937

鈥僊颈诲诲濒别

707 (86.3)

108 (13.2)

3 (0.4)

818

鈥僃辞耻谤迟丑

725 (87.2)

104 (12.5)

2 (0.2)

832

鈥僐颈肠丑别蝉迟

941 (89.8)

103 (9.8)

4 (0.4)

1049

Total*

3879 (86.5)

585 (13.1)

18 (0.4)

4484

Marital status

鈥僋辞t married

906 (87.2)

124 (11.9)

8 (0.8)

1039 (100)

鈥僊补谤谤颈别诲

2588 (88.1)

342 (11.7)

7 (0.3)

2938 (100)

鈥僃ormerly married

385 (75.9)

119 (23.5)

3 (0.6)

507 (100)

Total*

3879 (86.5)

585 (13.1)

18 (0.4)

4484

  1. Key: *Summation by column within a characteristic may not equal the total due to weighting done on the data and rounding off to whole numbers