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Table 1 Characteristics of Respondents Using the mHealth Application Based on the CVD Risk Index in the Babakan Madang Sub-District

From: Potentials of community-based early detection of cardiovascular disease risk during the COVID-19 pandemic

Characteristics of Respondent

Overall (n = 442)

Predicted 10-years CVD Risk

Low Risk (<  20%) (n = 348)

High Risk

(≥ 20%) (n = 94)

Age, mean (IQR)

32 (24–40)

31 (23–38)

38 (25–44)

Age (years), n (%)*

 15–24

120 (27.1)

100 (83.3)

20 (16.7)

 25–34

132 (29.9)

112 (84.8)

20 (15.2)

 35–44

133 (30.1)

101 (75.9)

32 (24.1)

 45–54

45 (10.2)

29 (64.4)

16 (35.6)

 55–63

12 (2.7)

6 (50.0)

6 (50.0)

 Sex, n (%)*MaleFemale

112 (25.3)330 (74.7)

39 (34.8)309 (93.6)

73 (65.2)21 (6.4)

Level of Education, n (%)

 Never Attended School

5 (1.1)

4 (80)

1 (20)

 Not-completed in Primary

15 (3.4)

14 (93.3)

1 (6.7)

 Primary School

88 (19.9)

72(81.8)

16 (18.2)

 Junior High School

105 (23.8)

87 (82.9)

18 (17.1)

 Senior High School

184 (41.6)

138 (75.0)

46 (25)

 Tertiary (University)

45 (10.2)

33 (73.3)

12 (26.7)

Profession, n (%)

 Unemployed

184 (41.6)

169 (91.8)

15 (8.2)

 Student

31 (7.0)

28 (90.3)

3 (9.7)

 Civil Servant

9 (2)

5 (55.6)

4 (44.4)

 Farmer

4 (0.9)

2 (50)

2 (50)

 Laborer

66 (14.9)

36 (54.5)

30 (45.5)

 Entrepreneur

58 (13.1)

37(63.8)

21 (36.2)

 Others

90 (20.3)

71 (78.9)

19 (21.1)

  1. * CVD Risk Index Calculation Indicator