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Table 1 Description of the selected sample population of Malaysian schoolchildren

From: A survey of schoolchildren's exposure to secondhand smoke in Malaysia

Characteristics

Number opted out of study

(n = 721)I, a

Number consented to salivary cotinine study

(n=1064)II

TotalIII

(n = 1785)

Mean age (years ± SD)

10.7 ± 0.6

10.7 ± 0.6

10.7 ± 0.6

Gender

   

Boys

316 (43.8)

448 (42.1)

764 (42.8)

Girls

380 (52.7)

605 (56.7)

985 (55.2)

Missing

25 (3.5)

11 (1.0)

36 (2.0)

Family structure

   

Both parents

651 (90.3)

997 (93.7)

1648 (92.3)

Single parent

21 (2.9)

27 (2.6)

48 (2.7)

Others

30 (4.1)

40 (3.8)

70 (3.9)

Missing

19 (2.6)

-

19 (1.1)

Ethnicity

   

Malay

635 (88.1)

958 (90.0)

1593 (89.2)

Others

67 (9.3)

106 (10.0)

173 (9.7)

Missing

19 (2.6)

-

19 (1.1)

Location

   

Urban

435 (60.3)

688 (64.7)

1123 (62.9)

Rural

286 (39.7)

376 (35.3)

662 (37.1)

Home smoking characteristics ++

   

Non-smoking households

377 (52.3)

446 (41.9)

823 (46.1)

Smoking households

290 (40.2)

501 (47.1)

791 (44.3)

Missing

54 (7.5)

117 (11.0)

171 (9.6)

Family income ++

   

Low

319 (44.2)

529 (49.7)

847 (47.6)

Medium

274 (38.0)

326 (30.6)

601 (33.7)

High

88 (12.2)

144 (13.5)

232 (13.0)

Missing

40 (5.5)

65 (6.1)

105 (5.9)

  1. Values are in numbers (percentages)
  2. SD: Standard Deviation
  3. Chi-square test performed between column I and II (excluding missing values)
  4. ++: Chi-square outcome for column I and II was p < 0.05 for home smoking characteristics and family income group
  5. ** The 3 categories in the variable Family income was derived using cut-off points obtained from the recent data of Economic Planning Unit, Prime Minister Department Malaysia. The average income is RM3686. Family income lower than RM3000 per month is categorised as low income, RM3000 to RM5000 is categorised as middle income and income of more than RM5000 is categorised as high income group
  6. a Column I represents 721 children which includes 531 children who opted out of the study, 82 children whose saliva samples could not be collected and108 children who did not provide sufficient saliva sample for laboratory analysis