Table 4

Intentions, behaviour and barriers related to reducing salt consumption, precampaign and postcampaign (%)

Pre-campaignPost-campaign
TotalTotalUnaware*Aware*Adjusted OR†
(n=2000)(n=2015)(n=1744)(n=271)
Immediate intentions
(% strongly/somewhat agree)
(n=1633)(n=257)
 To reduce purchase of foods very high in salt79.6a85.8b85.1a90.0b1.45*
Confidence in controlling salt use
(% confident)
(n=1633)(n=257)
 Reduce salt in cooking to avoid family’s salt intake exceeding the recommended levels82.282.982.1a87.9b1.59**
 Maintain appealing taste for food for my family with reduced salt in cooking84.7a80.3b79.1a87.5b2.07*
Behaviour related to purchase
(% yes)
(n=1633)(n=257)
 Look for salt content on food labels23.524.622.8a36.2b1.8*
 Buy low-salt alternatives21.022.919.8a42.8b2.88*
 Buy low-sodium salt33.835.132.2a53.5b2.35*
Behaviour while cooking
(% yes)
(n=1633)(n=257)
 Measure amount of salt45.7a49.9b47.8a63.4b1.84*
 Use salt reduction measuring spoon32.431.429.1a45.5b2.01*
 Replace salt using onions, garlic, ginger17.1a23.2b22.627.21.30
 Add less salt than 3 months ago20.519.318.0a27.2b1.56*
 Add less salty processed foods than 3 months ago26.3a16.1b14.3a27.2b1.94*
 Add less sauce or seasoning than 3 months ago17.715.814.1a26.5b2.01*
Behaviour while eating
(% yes)
(n=1633)(n=257)
 Limit consumption of processed foods40.1a56.1b54.9a63.8b1.44*
 Avoid eating outside foods43.7a59.7b58.865.31.27
 Consume less salt overall17.518.917.5a27.7b1.65*
Barriers to salt reduction
(% strongly agree/agree)
 I am more concerned about other ingredients70.3a61.4b61.858.70.88
 Can't tell how much salt is in the foods I like to eat58.2a65.2b67.7a49.1b0.48*
 Can’t tell how much salt on food label is too much41.443.745.0a35.1b0.79
 My doctor suggested not to reduce my salt intake due to my certain disease or current treatment38.1a28.6b27.7a34.7b1.4**
  • Values in same row with different subscript ‘a’ and ‘b’ are significantly different at p<0.05 in the two-sided test of equality for column proportions.

  • *Comparisons are currently based on bivariate analysis alone and do not control for potential confounders. Hence, any significant differences between ‘aware’ and ‘unaware’ groups must be interpreted with caution.

  • †Adjusted for gender, age, primary caregiver, marital status, education, occupation, income, television watching frequency and internet use frequency.