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. 2012 Mar 1;14(2):e40. doi: 10.2196/jmir.1939

Table 1.

Characteristics of visitors to an online computer-tailored lifestyle program (n = 3448).

Demographic characteristic Data
Age (years)
Range 19–64
Mean (SD) 43.61 (12.60)
Gender, n (%)
Male 1822 (52.8%)
Female 1626 (47.2%)
Education level, n (%)
Low 744 (21.6%)
Medium 1188 (34.45%)
High 1452 (42.11%)
Unknown 64 (2%)
Personal net monthly income (€), n (%)
<1000 223 (6.5%)
1001–1350 227 (6.6%)
1351–1750 367 (10.6%)
1751–3050 1174 (34.05%)
>3051 966 (28.0%)
Unknown 491 (14.2%)
Employment, n (%)
Employed 2614 (75.8%)
Unemployed 662 (19.2%)
Unknown 172 (5.0%)
Marital status, n (%)
Married 2089 (60.6%)
Living together 526 (15.3%)
Unmarried 635 (18.4%)
Divorced 170 (4.9%)
Widowed 28 (0.8%)
Native country, n (%)
The Netherlands 3277 (95.0%)
Other 171 (5.0%)
Body mass index (kg/m2), n (%)
<18.5 57 (1.7%)
≥18.5 to <25 1795 (52.1%)
≥25 to <30 1240 (36.0%)
≥30 356 (10.2%)
Behavioral characteristic, n (%)
Physical activity
Compliant 2939 (85.2%)
Noncompliant 509 (14.8%)
Vegetable consumption
Compliant 1121 (32.5%)
Noncompliant 2327 (67.5%)
Fruit consumption
Compliant 1552 (45.0%)
Noncompliant 1896 (55.0%)
Smoking behavior
Compliant 2790 (80.9%)
Noncompliant 658 (19.1%)
Alcohol intake
Compliant 2467 (71.5%)
Noncompliant 981 (28.5%)
Number of guidelines complied with, n (%)
0 25 (0%)
1 203 (5.9%)
2 677 (19.6%)
3 1235 (35.82%)
4 936 (27.1%)
5 372 (10.8%)