Table 3.

Association between weight category and the deviation of food consumption from CFP ^a.

Deviation	Weight Category b
Low cereal	0.813 (0.728, 0.908) *,c
Higher cereal	1.132 (1.045, 1.226) *
Low fruit	0.945 (0.824, 1.083)
Higher fruit	1.066 (0.851, 1.337)
Low vegetable	1.070 (0.993, 1.153)
Higher vegetable	0.883 (0.783, 0.996) *
Low egg	0.859 (0.772, 0.956) *
Higher egg	1.083 (0.958, 1.224)
Low fish	1.054 (0.955, 1.164)
Higher fish	1.013 (0.899, 1.140)
Low meat	1.141 (1.033, 1.261) *
Higher meat	0.971 (0.885, 1.066)
Low nut	0.974 (0.873, 1.087)
Higher nut	1.045 (0.934, 1.169)
Low milk	0.960 (0.555, 1.661)
Low oil	1.002 (0.889, 1.129)
Higher oil	0.995 (0.885, 1.119)
Higher salt	1.081 (1.007, 1.162) *

Notes: ^a Association was investigated by ordered logistic regression after adjusted by household income per capita, household size, total energy intake in logarithm, physical activity level, age, gender, smoking (0 = currently not smoking, 1 = currently smoking) and drinking (0 = did not drink in the past year, 1 = drank alcohol in the past year) status, and urbanization index (defined by a multidimensional 12-component urbanization index, which captures the population density, physical, social, cultural, and economic environment). Physical activity is defined based on occupation (1 = very light physical activity, working in a sitting position; 2 = light physical activity, working in a standing position; 3 = moderate physical activity; 4 = heavy physical activity; and 5 = very heavy physical activity); ^b Weight category is defined as: 1 = underweight (BMI ≤ 18.5), 2 = normal weight (BMI ≥ 18.5 & BMI < 24), 3 = overweight (BMI ≥ 24 and BMI < 28), 4 = obesity (BMI ≥ 28) is defined as ^c Values are odds ratios, and values in brackets are 95% CI; * Statistically significant at p < 5%.