Abstract
BACKGROUND: Minerals have crucial biological functions in metabolism and are primarily obtained through diet. As a result, various dietary patterns can impact blood mineral levels. The aim of this study was to investigate the correlation between dietary patterns and the concentration of calcium, magnesium, iron, zinc, and copper in the bloodstream. METHODS: Three hundred eighty healthy children (53.7% male) were recruited in a region of Hunan Province in September 2019. We gathered basic information and measured physical proportions, along with completing a food frequency questionnaire (FFQ). Using principal component analysis (PCA), we determined dietary patterns. To analyze mineral levels in the blood, we used flame atomic absorption spectrometry (FAAS). We utilized linear regression models to investigate if certain dietary patterns are related to mineral concentration. RESULTS: Three dietary patterns were identified: 'Vegetables/Nuts,' 'Snacks/Beverages,' and 'Cereal/Beans.' Children from high-income families (annual average income > 50,000 yuan) prefer the 'Vegetables/Nuts' dietary pattern (P = 0.004). In comparison, those from low-income families (annual average income < 20,000 yuan) prefer the 'Snacks/Beverages' dietary pattern (P = 0.03). Following adjustment for age, gender, guardian's identity, education level, and annual household income. We found that an increase in the 'Vegetables/Nuts' pattern score (β = 0.153, CI: 0.053 ~ 0.253; P = 0.003) and 'Snacks/Beverages' pattern score (β = 0.103, CI: 0.002 ~ 0.204; P = 0.033) were significantly associated blood copper concentration. CONCLUSIONS: Household income was found to be associated with dietary behavior. Furthermore, higher blood copper concentration was significantly correlated with the 'Vegetables/Nuts' dietary pattern and 'Snacks/Beverages' dietary pattern, but the correlation is extremely low.