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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