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Food environment characteristics and neighborhood socioeconomic level had significant associations with fruit and vegetable intake score.
Weighted multilevel linear regression was used to evaluate the associations between the environment variables and the fruit and vegetables intake score.
The frequency of fruit and vegetables consumption was assessed from number of servings, weekly frequency and an intake score was calculated.
Energy and macronutrient intake for each food item was then totalled to obtain the total intake score per day for each subject.
Regarding the individual variables that remained in the multivariate models, fruit and vegetable intake score was higher in women and associated with age and education.
We compared subjects categorised by thirds of dietary fat intake score measured by the 'Dobson short fat questionnaire', with logistic regression models that adjusted for age, sex, skin type and usual sun exposure.
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According to the Global Times, many Chinese students are opting for less prestigious courses at universities with lower intake scores or choosing to study overseas.
Regarding the social environment, higher neighborhood income was correlated with FV intake scores.
In multivariate analysis, SES was positively associated with food frequency intake scores in both genders.
Nutrient intake scores were computed with and ad hoc computer programme specifically developed to this aim.
Higher density of healthy food outlets in the neighborhood area was associated to FV intake scores, but higher density of unhealthy food outlets were negatively associated to FV intake scores.
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