Department of Toxicology, Hunan Provincial Center for Disease Control and Prevention, Furong Road No. 450, Changsha, 410005, China.
BMC Public Health. 2023 Aug 10;23(1):1518. doi: 10.1186/s12889-023-16429-6.
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.
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.
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.
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.
矿物质在新陈代谢中具有至关重要的生物学功能，主要通过饮食获得。因此，各种饮食模式会影响血液矿物质水平。本研究旨在调查饮食模式与血液中钙、镁、铁、锌和铜浓度之间的相关性。
2019 年 9 月，在湖南省某地区招募了 380 名健康儿童（男性占 53.7%）。我们收集了基本信息和身体比例测量值，并完成了食物频率问卷（FFQ）。我们使用主成分分析（PCA）确定饮食模式。为了分析血液中的矿物质水平，我们使用火焰原子吸收光谱法（FAAS）。我们利用线性回归模型来研究特定的饮食模式是否与矿物质浓度有关。
确定了三种饮食模式：“蔬菜/坚果”、“零食/饮料”和“谷物/豆类”。高收入家庭（年平均收入>50000 元）的儿童更喜欢“蔬菜/坚果”饮食模式（P=0.004）。相比之下，低收入家庭（年平均收入<20000 元）的儿童更喜欢“零食/饮料”饮食模式（P=0.03）。在调整年龄、性别、监护人身份、受教育程度和家庭年收入后，我们发现“蔬菜/坚果”模式评分（β=0.153，CI：0.0530.253；P=0.003）和“零食/饮料”模式评分（β=0.103，CI：0.0020.204；P=0.033）增加与血铜浓度显著相关。
家庭收入与饮食行为有关。此外，较高的血铜浓度与“蔬菜/坚果”饮食模式和“零食/饮料”饮食模式显著相关，但相关性极低。
