Your privacy, your choice

We use essential cookies to make sure the site can function. We also use optional cookies for advertising, personalisation of content, usage analysis, and social media.

By accepting optional cookies, you consent to the processing of your personal data - including transfers to third parties. Some third parties are outside of the European Economic Area, with varying standards of data protection.

See our privacy policy for more information on the use of your personal data.

for further information and to change your choices.
Skip to main content

Table 3 Weighted estimates for NCD risk factors and biomarkers, by sex. Estimate is weighted population prevalence, unless otherwise noted

From: The relationship between non-communicable disease risk and mental wellbeing in adolescence: a cross-sectional study utilising objective measures in Indonesia

  

Female

Male

Total

Domain

Individual risk factor

n/N, estimate, (95%CI)

n/N, estimate, (95%CI)

n/N, estimate, (95%CI)

Adiposity

High BMI

117/ 735

15.9%

(12.7,19.7)

117/ 596

19.7%

(14.4,26.3)

234/1331

17.6%

(14.0,21.8)

High waist

96/ 735

13.0%

(9.1,18.2)

63/ 596

10.6%

(6.5,16.7)

159/1331

11.9%

(8.8,15.9)

Substance use

Smoking

6/ 625

1.0%

(0.5, 2.1)

141/ 436

32.3%

(23.6,42.5)

147/1061

13.9%

(8.6,21.7)

Alcohol use

8/ 707

1.2%

(0.6, 2.5)

71/ 568

12.6%

(4.9,28.7)

80/1275

6.3%

(2.4,15.2)

Physical inactivity

Inadequate MVPA

707/ 735

96.1%

(94.8,97.2)

547/ 595

91.9%

(89.4,93.8)

1254/1330

94.2%

(93.0,95.2)

Inadequate VPA

480/ 735

65.3%

(59.8,70.4)

207/ 595

34.7%

(30.2,39.5)

687/1330

51.6%

(46.3,56.9)

Sedentary

Excess TV

261/ 728

35.9%

(30.2,42.1)

179/ 590

30.3%

(24.7,36.5)

440/1318

33.4%

(28.7,38.4)

Excess gaming

150/ 662

22.6%

(17.9,28.1)

210/ 546

38.4%

(31.2,46.1)

359/1209

29.7%

(24.7,35.3)

Diet

Lack of fruit or veg

670/ 735

91.1%

(88.3,93.3)

536/ 596

89.9%

(86.2,92.7)

1206/1331

90.6%

(88.3,92.4)

Excess sweets/ soft drink

232/ 735

31.6%

(27.5,36.1)

152/ 596

25.5%

(21.4,30.1)

385/1331

28.9%

(25.6,32.4)

Co-occurring risk count (0–5)a

735

2.6 (0.72)

(2.5, 2.7)

596

2.9 (0.92)

(2.7, 3.1)

1331

2.7 (0.83)

(2.6, 2.9)

Co-occurring binary (≥ 3 risks)

394/ 735

53.6%

(47.8,59.4)

390/ 596

65.4%

(59.0,71.3)

784/1331

58.9%

(53.7,63.9)

Biomarkers (Jakarta only)

 

High waist circumference

74/ 374

19.7%

(12.7,29.4)

50/ 306

16.4%

(9.6,26.5)

124/ 680

18.2%

(12.4,25.8)

 

Reduced HDL

194/ 284

68.2%

(55.5,78.7)

86/ 224

38.1%

(26.2,51.6)

279/ 509

54.9%

(46.4,63.1)

 

Raised triglycerides

46/ 284

16.1%

(11.1,22.8)

62/ 224

27.7%

(19.9,37.1)

108/ 509

21.2%

(15.6,28.1)

 

Raised blood glucose

11/ 284

3.9%

(1.3,11.6)

14/ 225

6.0%

(2.8,12.3)

25/ 510

4.8%

(2.1,10.6)

 

Raised blood pressure

25/ 374

6.7%

(3.3,13.2)

39/ 303

12.7%

(7.1,21.7)

64/ 677

9.4%

(5.1,16.6)

Co-occurring risk count (0–5)a

284

1.1 (0.94)

(0.9, 1.4)

225

1.0 (1.02)

(0.8, 1.3)

510

1.1 (0.99)

(0.9, 1.3)

Co-occurring binary (≥ 3 risks)

21/284

7.3%

(2.8,17.8)

19/225

8.3%

(4.0,16.6)

39/510

7.7%

(3.6,15.9)

  1. NB: Population N will differ for each risk, as participants could skip survey questions if they chose
  2. MVPA Moderate to Vigorous Physical Activity, VPA Vigorous Physical Activity, TV Television, HDL High Density Lipoprotein
  3. aWeighted mean (standard deviation)
Back to article page

BMC Public Health

ISSN: 1471-2458

Contact us