Table 1

Characteristics of participants at baseline

VariableWeb 2.0 (n=168)Web 1.0 (n=165)Logbook (n=171)Total (n=504)
Gender
 Male54 (32%)58 (35%)64 (37%176 (35%)
 Female114 (68%)107 (65%)107 (63%)328 (65%)
Age at baseline (years)
 18–3422 (13%)30 (18%)20 (12%)72 (14%)
 35–4437 (22%)24 (15%)29 (17%)90 (18%)
 45–5441 (24%)47 (28%)49 (29%)137 (27%)
 55–6441 (24%)44 (27%)43 (25%)128 (25%)
 65 and over27 (16%)20 (12%)30 (18%)77 (15%)
Weekly household income ($A)
 <$100050 (30%)46 (28%)44 (26%)140 (28%)
 $1000–$199943 (26%)44 (27%)59 (35%)146 (29%)
 $2000–$5000+52 (31%)49 (30%)49 (29%)150 (30%)
 No response23 (14%)26 (16%)19 (11%)68 (13%)
Country of birth
 Other33 (20%)31 (19%)42 (25%)106 (21%)
 Australia135 (80%)134 (81%)129 (75%)398 (79%)
Highest education level
 Higher education57 (34%)55 (33%)59 (35%)171 (34%)
 Trade/diploma63 (38%)61 (37%)69 (40%)193 (38%)
 School education48 (29%)49 (30%)43 (25%)140 (28%)
Body mass index (BMI) (kg/m2)
 Underweight (<18.50)3 (2%)3 (2%)0 (0%)6 (1%)
 Normal weight (18.50–24.99)52 (31%)28 (17%)36 (21%)116 (23%)
 Overweight (25.00–29.99)60 (36%)64 (39%)55 (32%)179 (36%)
 Obese (≥30.00)53 (32%)70 (42%)80 (47%)203 (40%)
Occupation
 Professional54 (32%)50 (30%)55 (32%)159 (32%)
 White collar36 (21%)37 (22%)29 (17%)102 (20%)
 Blue collar8 (5%)8 (5%)15 (9%)31 (6%)
 Other14 (8%)20 (12%)19 (11%)53 (11%)
 No response56 (33%)50 (30%)53 (31%)159 (32%)
Speak language other than English
 Yes19 (11%)28 (17%)28 (16%)75 (15%)
 No149 (89%)137 (83%)143 (84%)429 (85%)