| Literature DB >> 36223966 |
Ashish K Gupta1, Tom E Carroll2, Yu Chen3, Wenzhuo Liang3, Laura K Cobb4, Yichao Wang5, Juan Zhang6, Yeji Chen7, Xiaolei Guo8, Sandra Mullin9, Nandita Murukutla9.
Abstract
OBJECTIVE: This study examines the impact of a salt reduction campaign on knowledge, attitudes, intentions, behaviours and barriers to behaviour change relating to salt consumption in two provinces of China.Entities:
Keywords: Health policy; NUTRITION & DIETETICS; PUBLIC HEALTH
Mesh:
Substances:
Year: 2022 PMID: 36223966 PMCID: PMC9562322 DOI: 10.1136/bmjopen-2021-056725
Source DB: PubMed Journal: BMJ Open ISSN: 2044-6055 Impact factor: 3.006
Demographic characteristics of respondents to the precampaign and postcampaign surveys (%)
| Precampaign | Postcampaign | |||
| Total | Total | Unaware | Aware | |
| (n=2000) | (n=2015) | (n=1744) | (n=271) | |
| Location | ||||
| Tier 2 city | 40 | 40 | 43a | 23b |
| Tier 3 city | 30 | 30 | 27a | 48b |
| Tier 4 city | 30 | 30 | 30 | 29 |
| Women (primary food preparers) | 75 | 75 | 75 | 74 |
| Men (influencers) | 25 | 25 | 25 | 26 |
| Age in completed years (mean) | 41.6a | 48.6b | 48.7 | 48.3 |
| Education | ||||
| Middle school and below | 42a | 55b | 57a | 43b |
| High school | 23a | 19b | 31a | 39b |
| College and higher | 36a | 26b | 12a | 18b |
| Occupation | ||||
| Employed | 58a | 52b | 52 | 56 |
| Homemaker | 24a | 20b | 20 | 19 |
| Retired | 10a | 20b | 21 | 16 |
| Unemployed | 7a | 7b | 7 | 9 |
| Student | 0.5a | 1.1b | 1 | 1 |
| Household income (annual) | ||||
| Up to 30K RMB | 27a | 23b | 23 | 25 |
| 31K–70K RMB | 28a | 34b | 35a | 27b |
| 71K–110K RMB | 22 | 21 | 21a | 26b |
| Above 110K RMB | 13 | 12 | 12 | 16 |
| Parent of children below 16 years | 45a | 30b | 28a | 40b |
| Married/living together | 90a | 87b | 87a | 91b |
| Watch television every day | 48a | 43b | 42a | 51b |
| Use internet many times a day | 50a | 44b | 44 | 44 |
Values in the same row with different subscripts ‘a’ and ‘b’ are significantly different at p<0.05 in the two-sided test of equality for column proportions.
Reactions to the campaign among campaign-aware respondents in post-campaign survey (%)
| Self-reported reactions to PSA | % agree (n=271) |
| Was believable | 93 |
| Was relevant to me | 93 |
| Taught me something new | 88 |
| Made me stop and think | 82 |
| Made me feel uncomfortable | 22 |
| Made me concerned about too much salt being used in cooking in my household | 80 |
| Made me feel concerned about effects of eating too much salt on my health | 90 |
| Made me feel concerned about effects of eating too much salt on my family’s health | 92 |
| Made me want to use less salt in my cooking | 95 |
| Made me want to eat less salt | 95 |
| Made me more confident to cook with less salt/encourage less salt in cooking in my family home | 95 |
| Made me more supportive of government action to reduce salt consumption in my country | 96 |
| Is useful for public education | 97 |
|
| |
| Motivated me to discuss the ad with others | 73 |
| I would like others to see this ad | 97 |
| I would like my family members to see this ad | 96 |
PSA, public service announcement.
Knowledge and attitudes about salt intake, precampaign and postcampaign (%)
| Precampaign | Postcampaign | Postcampaign | |||
| Total | Total | Unaware* | Aware* | Adjusted OR† | |
| (n=2000) | (n=2015) | (n=1744) | (n=271) | ||
|
| |||||
| Recommended daily salt intake should be<5 grams/day | 34.0a | 40.1b | 38.8a | 48.8b | 1.58** |
| Eating high salt/salty seasoning will be very harmful | 43.6a | 38.3b | 36.2a | 51.7b | 1.69* |
| Consuming high levels of salt lead to: | |||||
| Hypertension | 87.6 | 85.7 | 84.6a | 92.5b | 1.87* |
| Heart attack | 59.6 | 60.8 | 59.5a | 69.3b | 1.51* |
| Stroke | 59.9 | 58.9 | 57.9a | 65.2b | 1.32 |
| Harmful for bones | 45.5a | 40.4b | 38.7a | 50.6b | 1.64* |
| Knowledge about foods high in salt: | |||||
| Seasoning like stock cubes and powders | 18.7a | 22.8b | 21.3a | 32.1b | 1.72* |
| Sauces like soy, fish sauce, oyster sauce, etc. | 62.2a | 58.0b | 55.7a | 72.3b | 2.01* |
|
| |||||
| About salt reduction: | |||||
| It is very important to reduce salt in cooking (% yes) | 64.1a | 55.6b | 53.2a | 71.6b | 1.96* |
| Use of salt alternatives is a safe way of reducing sodium intake (% definitely) | 29.2a | 25.6b | 24.9a | 30.3b | 1.43** |
| (% Strongly agree and somewhat agree) | |||||
| Making efforts to use salt alternatives is worthwhile for the health benefits | 76.5 | 77.9 | 76.9a | 83.8b | 1.43** |
| I am worried that too much salt consumption in my family can have very serious consequences | 84.8a | 89.3b | 88.7a | 93.4b | 1.32 |
| It’s very difficult to control salt consumed in a day | 61.3 | 61.8 | 63.4a | 51.7b | 0.67* |
| I am worried reducing salt in cooking may have negative effects on family’s health | 30.7a | 34.0b | 33.8 | 35.8 | 1.11 |
| Reducing salt in cooking is not a priority for me | 35.8a | 49.5b | 49.8 | 48 | 0.98 |
| Reducing salt in cooking is something I support | 93.3a | 95.5b | 95.2 | 97.4 | 1.81 |
| Reducing salt consumption in my family is a positive way to maintain good health | 94.0a | 96.0b | 95.8 | 97.4 | 1.62 |
| Considered following in last 3 months: | ( | ( | ( | ( | |
| Amount of salt/salty sauces added while cooking | 12.6a | 22.4b | 21.4a | 28.8b | 1.36** |
| Amount of salt added to food before eating | 7.9a | 15.9b | 14.4a | 25.8b | 2.08* |
| Health harms from consuming high salt | 45.2a | 54.0b | 52.0a | 66.8b | 1.82* |
| Ways to reduce salt the family consumes | 37.7a | 43.0b | 41.2a | 54.6b | 1.64* |
Values in same row with different subscript ‘a’ and ‘b’ are significantly different at p<0.05 in 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. *significance at 0.01, **significance at 0.05.
†Adjusted for gender, age, primary caregiver, marital status, education, occupation, income, television watching frequency and internet use frequency.
Intentions, behaviour and barriers related to reducing salt consumption, precampaign and postcampaign (%)
| Pre-campaign | Post-campaign | ||||
| Total | Total | Unaware* | Aware* | Adjusted OR† | |
| (n=2000) | (n=2015) | (n=1744) | (n=271) | ||
| ( | ( | ||||
| To reduce purchase of foods very high in salt | 79.6a | 85.8b | 85.1a | 90.0b | 1.45* |
| ( | ( | ||||
| Reduce salt in cooking to avoid family’s salt intake exceeding the recommended levels | 82.2 | 82.9 | 82.1a | 87.9b | 1.59** |
| Maintain appealing taste for food for my family with reduced salt in cooking | 84.7a | 80.3b | 79.1a | 87.5b | 2.07* |
| ( | ( | ||||
| Look for salt content on food labels | 23.5 | 24.6 | 22.8a | 36.2b | 1.8* |
| Buy low-salt alternatives | 21.0 | 22.9 | 19.8a | 42.8b | 2.88* |
| Buy low-sodium salt | 33.8 | 35.1 | 32.2a | 53.5b | 2.35* |
| ( | ( | ||||
| Measure amount of salt | 45.7a | 49.9b | 47.8a | 63.4b | 1.84* |
| Use salt reduction measuring spoon | 32.4 | 31.4 | 29.1a | 45.5b | 2.01* |
| Replace salt using onions, garlic, ginger | 17.1a | 23.2b | 22.6 | 27.2 | 1.30 |
| Add less salt than 3 months ago | 20.5 | 19.3 | 18.0a | 27.2b | 1.56* |
| Add less salty processed foods than 3 months ago | 26.3a | 16.1b | 14.3a | 27.2b | 1.94* |
| Add less sauce or seasoning than 3 months ago | 17.7 | 15.8 | 14.1a | 26.5b | 2.01* |
| ( | ( | ||||
| Limit consumption of processed foods | 40.1a | 56.1b | 54.9a | 63.8b | 1.44* |
| Avoid eating outside foods | 43.7a | 59.7b | 58.8 | 65.3 | 1.27 |
| Consume less salt overall | 17.5 | 18.9 | 17.5a | 27.7b | 1.65* |
| I am more concerned about other ingredients | 70.3a | 61.4b | 61.8 | 58.7 | 0.88 |
| Can't tell how much salt is in the foods I like to eat | 58.2a | 65.2b | 67.7a | 49.1b | 0.48* |
| Can’t tell how much salt on food label is too much | 41.4 | 43.7 | 45.0a | 35.1b | 0.79 |
| My doctor suggested not to reduce my salt intake due to my certain disease or current treatment | 38.1a | 28.6b | 27.7a | 34.7b | 1.4** |
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.