Table 5.
Relationship between selected food intakes in primary school children and nutrition knowledge of the children and their guardians by linear regression analysis.a
Food intake, g/1000 kcal | Independent variables in regression modelsb | Model 1 |
Model 2 |
Model 3 |
|||
---|---|---|---|---|---|---|---|
Regression coefficient | P valuec | Regression coefficient | P valuec | Regression coefficient | P valuec | ||
Staple foodsd | Children's knowledgee | −0.16 | 0.53 | −0.24 | 0.77 | −0.17 | 0.5 |
Guardians' knowledgef | −0.65 | 0.033* | −0.65 | 0.034* | 1.76 | 0.06 | |
Children's sexg | −7.62 | 0.26 | −11.2 | 0.76 | 107.5 | 0.012* | |
Grade | −0.82 | 0.69 | −0.83 | 0.69 | −0.72 | 0.72 | |
Guardians' incomeh | −3.18 | 0.42 | −3.18 | 0.43 | −3.83 | 0.33 | |
Children's knowledge ∗ Children's sex | 0.05 | 0.92 | |||||
Guardians' knowledge ∗ Children's sex | −1.6 | 0.0065* | |||||
Vegetable | Children's knowledgee | 0.6 | 0.0025* | 0.95 | 0.13 | 0.6 | 0.0024* |
Guardians' knowledgef | 1 | <0.0001* | 0.99 | <0.0001* | 0.32 | 0.66 | |
Children's sexg | 9.46 | 0.069 | 26 | 0.36 | −22.9 | 0.49 | |
Grade | 1.08 | 0.5 | 1.12 | 0.48 | 1.05 | 0.51 | |
Guardians' incomeh | 1.16 | 0.71 | 1.16 | 0.71 | 1.35 | 0.66 | |
Children's knowledge ∗ Children's sex | −0.23 | 0.56 | |||||
Guardians' knowledge ∗ Children's sex | 0.45 | 0.32 | |||||
Fruit | Children's knowledgee | 0.13 | 0.13 | −0.24 | 0.39 | 0.14 | 0.12 |
Guardians' knowledgef | 0.06 | 0.57 | 0.06 | 0.54 | −0.83 | 0.0092* | |
Children's sexg | 0.75 | 0.74 | −16.7 | 0.19 | −41.9 | 0.0042* | |
Grade | −0.06 | 0.94 | −0.1 | 0.89 | −0.09 | 0.89 | |
Guardians' incomeh | 2.4 | 0.079 | 2.4 | 0.079 | 2.63 | 0.052 | |
Children's knowledge ∗ Children's sex | 0.24 | 0.16 | |||||
Guardians' knowledge ∗ Children's sex | 0.59 | 0.0032* | |||||
Sweets and snacks | Children's knowledgee | −0.05 | 0.55 | 0.25 | 0.36 | −0.05 | 0.57 |
Guardians' knowledgef | −0.12 | 0.24 | −0.13 | 0.23 | −0.62 | 0.055 | |
Children's sexg | 5 | 0.03* | 19.3 | 0.13 | −18.6 | 0.21 | |
Grade | 0.31 | 0.66 | 0.35 | 0.62 | 0.29 | 0.68 | |
Guardians' incomeh | 0.33 | 0.8 | 0.33 | 0.81 | 0.46 | 0.73 | |
Children's knowledge ∗ Children's sex | −0.2 | 0.25 | |||||
Guardians' knowledge ∗ Children's sex | 0.33 | 0.1 |
Among 316 analyzed guardians, 12 did not answer the question about household income, and the pairs of these guardians and their children were deleted from the analysis in Table 5.
Linear regression model was used to examine the relationship between children's food intake and nutrition knowledge of the children and their guardians. All models include food intake (continuous, g/kcal) as a dependent variable. Model 1: Independent variables were children's knowledge, guardians' knowledge, children's sex, grade, and guardians' income. Model 2: Independent variables were children's knowledge, guardians' knowledge, children's sex, grade, guardians' income, and an interaction term between children's knowledge and children's sex. Model 3: Independent variables were children's knowledge, guardians' knowledge, children's sex, grade, guardians' income, and an interaction term between guardians' knowledge and children's sex.
Results in tests for regression coefficients, “*” shows p < 0.05.
Intake of staple foods was sum of rice, bread, and noodle.
Children's knowledge is the percentage of correct answers in nutrition knowledge questionnaire for children, and used as a continuous variable in the models.
Guardians' knowledge is the percentage of correct answers in nutrition knowledge questionnaire for adults, and used as a continuous variable in the models. The percentage of correct answers in the guardians was calculated after excluding the section about awareness of dietary recommendations.
Children's sex was coded as below: boy = 1, girl = 2. The reference was the boy.
Guardians' income was categorized into four groups, and the lowest income group was set as the reference. Each income group was assigned a score: <3 million yen = 1, 3 to <6 million yen = 2, 6 to <9 million yen = 3, and ≥9 million yen = 4. Linear regression analysis was used to test trend of association.