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Table 1 Sociodemographic characteristics of participants at time 1 and follow up

From: Predictive modelling: parents’ decision making to use online child health information to increase their understanding and/or diagnose or treat their child’s health

   Time 1 Follow-up
(N= 391) % (N= 187) %
Parent sex (T1 n = 391; T2 n = 187) Male 4.9 2.7
Female 95.1 97.3
Age of parent (T1 n = 389; T2 n = 187) 18-25 3.8 3.7
26-35 51.9 47.6
36-45 40.3 46.0
46-55 3.8 2.7
Over 55 0.2 0.0
Number of children (T1 n = 390; T2 n = 187) 1 child 33.1 34.2
2 children 46.2 44.4
3 children 14.9 13.9
4 or more children 5.8 7.5
Age of child 1± (T1 n = 389; T2 n = 186) Age 1 0.0 0.0
Age 2 3.1 0.0
Age 3 12.3 15.6
Age 4 11.0 11.3
Age 5 10.7 12.4
Age 6 8.4 8.6
Age 7 10.7 9.1
Age 8 8.4 7.5
Age 9 7.7 5.9
Age 10 4.6 4.8
Age of child 2± (T1 n = 257; T2 n = 118) Age 1 0.0 0.0
Age 2 9.3 11.0
Age 3 12.8 12.7
Age 4 13.6 12.7
Age 5 12.1 11.9
Age 6 10.9 6.8
Age 7 8.9 10.2
Age 8 8.6 6.8
Age 9 6.2 7.6
Age 10 5.8 5.9
zAge of child 3± (T1 n = 79; T2 n = 39) Age 1 0.0 0.0
Age 2 13.9 15.4
Age 3 11.4 10.3
Age 4 19.0 15.4
Age 5 13.9 17.9
Age 6 12.7 10.3
Age 7 5.1 2.6
Age 8 5.1 7.7
Age 9 3.8 5.1
Age 10 2.5 2.6
Age of child 4 or more± (T1 n = 30; T2 n = 14) Age 1 3.0 7.1
Age 2 10.0 7.1
Age 3 13.3 7.1
Age 4 20.0 28.6
Age 5 6.6 14.3
Age 6 13.3 0.0
Age 7 3.0 7.1
Age 8 10.0 14.3
Age 9 0.0 0.0
Age 10 6.6 0.0
Relationship status (T1 n = 390; T2 n = 186) Single 3.1 3.2
In a relationship 1.8 2.1
Married 75.8 73.7
Defacto 14.4 15.1
Divorced/separated 4.4 5.4
Widowed 0.5 0.5
Location (T1 n = 342; T2 n = 187) Northern Territory 0.3 0.5
Australian Capital Territory 1.5 2.1
New South Wales 9.3 8.6
Victoria 4.4 3.7
Queensland 79.2 77.0
South Australia 3.5 4.8
Western Australia 0.6 2.2
Tasmania 1.2 1.1
Employment status (T1 n = 388) Full-time 23.7 -
Not full-time 76.3 -
Education status (T1 n = 387) University educated 56.1 -
Not university educated 43.9 -
Medical background†§ (T1 n = 387) Yes 19.9 -
No 80.1 -
Hours Internet use per week (T1 n = 385; T2 n = 184) Mean 15.74 26.32
SD 12.71 32.11
Median 12.00 15.00
Mode 10.00 10.00
Range 1-100 1-200
  1. Measured at Time 1 only.
  2. Children were aged between 6 months and 10 years. An upper age limit of 10 years was used because children aged 10 years and older may search online for health information themselves (Greenfield and Yan, 2006).
  3. ± Percentages do not add up to 100% due to parents indicting that they also had other children older than 10 years of age.
  4. § The 77 Participants with a yes response for medical background were those who self-identified their occupation as a nurse (63.6%), midwife (6.5%), medic (soldier) (1.3%), pharmacist (2.6%), dietician (3.9%), nutritionist (2.6%), optometrist (1.3%), physiotherapist (3.9%), occupational therapist (2.6%), radiographer (1.3%), medical scientist (2.6%), or other health professional (7.8%).
  5. T1 = Time 1; T2 = Time 2 (follow up).