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Table 1 Social demography and smoking status variables among elderly aged 60 years and above in Malaysia

From: Prevalence of smoking and its associated factors with smoking among elderly smokers in Malaysia: findings from a nationwide population-based study

Variable

Non smoker

Ex-smoker

Current smoker

 

N

n

%

95 CI

N

n

%

95 CI

N

n

%

95 CI

Gender

 Male

483861

576

48.7

44.8-52.6

230512

307

23.2

20.2-26.5

279034

395

28.1

24.8-31.6

 Female

980332

1355

93.7

91.9-95.1

35855

62

3.4

2.5-4.7

30552

44

2.9

1.9-4.4

Ethnic

 Malay

857583

969

65.8

62.8-68.7

144308

229

14.4

12.3-16.9

196808

302

19.7

17.1-22.6

 Chinese

601387

633

79.9

76.1-83.1

84642

81

11.2

8.7-14.4

67637

77

9.0

6.9-11.7

 Indian

100772

177

85.0

76.9-90.6

9398

12

7.9

4.0-12.2

8424

14

7.1

3.8-14.3

 Others Bumiputra

98016

127

61.4

52.3-69.8

27593

42

17.3

12.0-24.3

34046

36

21.3

13.7-31.6

Age group

 60–64

553099

701

72.3

68.7-75.6

81248

108

10.6

8.5-13.2

131071

180

17.1

14.2-20.3

 65–69

356419

467

72.3

67.8-76.4

62668

92

12.8

9.9-16.3

73698

109

14.9

11.8-18.7

 70–74

261724

372

71.6

66.2-76.4

51910

81

14.2

10.8-18.3

51991

80

14.2

10.4-19.1

  > 75

29292

391

70.4

63.4-74.9

70340

88

16.9

13.3-21.3

52826

71

12.7

9.3-17.1

Income level

  < RM 1000

515345

737

69.8

66.2-73.2

103963

145

13.6

11.1-16.4

127267

177

16.6

13.7-20.6

 RM 1000-1999

274426

388

73.3

68.8-77.4

44529

71

11.9

8.8-15.9

55426

98

14.8

11.7-19.6

 RM 2000-2999

212690

268

72.2

66.5-77.8

33326

54

11.4

8.3-15.5

47250

72

17.4

12.8-23.1

  > RM 3000

131672

177

64.4

56.2-71.8

31007

34

15.2

10.0-22.3

41793

48

20.4

13.7-29.3

Marital status

 Married

910293

1162

65.7

62.7-68.6

217695

293

15.7

13.7-18.0

256896

356

18.8

16.1-21.3

 Single

553901

769

84.5

81.3-87.3

48672

76

7.4

5.6-9.8

52691

84

8.0

6.1-10.6

Locality

 Urban

993586

1027

75.1

72.3-77.8

162279

173

12.3

10.2-14.6

166714

172

12.6

10.4-15.2

 Rural

470608

904

65.6

62.3-68.7

104088

196

14.5

12.3-17.0

142873

268

19.9

17.2-23.0

Education attainment

 Not schooling

408497

625

77.4

73.6-80.8

53329

86

10.1

7.9-12.9

65793

99

12.5

9.8-15.8

 Primary

704132

915

70.0

66,8-72.9

130919

188

13.0

11.0-15.3

171479

255

17.0

14.7-19.7

 Secondary

257245

282

70.6

64.1-76.4

51709

65

14.2

10.4-19.1

55362

67

15.2

10.7-21.1

 Tertiary

70785

81

64.9

53.7-74.8

25985

24

23.8

15.2-35.2

12264

12

11.2

5.4-21.8

Hypertension

 Known

623911

836

77.6

74.3-80.8

107643

142

13.4

11.1-16.1

70702

96

8.8

6.8-11.4

 No/not known

832834

1084

67.8

63.9-70.5

158724

227

12.9

11.0-15.1

237018

340

19.3

16.8-22.4

Hypochloterolemia

 Known

329345

402

75.5

70.2-80.1

66980

89

15.4

11.7-19.9

39757

43

9.1

6.1-13.4

 No/not known

1112136

1502

70.6

68.2-72.9

195862

275

12.4

10.8-14.3

267369

392

17.0

14.9-19.2

Diabetes

 Known

335162

467

74.6

69.9-77.8

73449

97

16.4

10.7-20.8

40575

60

9.0

6.6-12.2

 No/not known

1111730

1443

71.2

68.6-73.6

189932

267

12.2

10.5-14.1

260500

368

16.7

14.5-19.1