The objective of this study was to develop a Chinese Healthy Eating Index (CHEI) based on the updated Dietary Guidelines for Chinese (DGC-2016) and to apply it in the 2011 China Health and Nutrition Survey (CHNS-2011) to assess diet quality and its association with typical sociodemographic/economic factors. Data from 14,584 participants (≥2 years) from the CHNS-2011, including three 24-h dietary recalls and additional variables, were used to develop the CHEI. The standard portion size was applied to quantify food consumption. The CHEI was designed as a continuous scoring system, comprising 17 components; the maximum total score is 100. The mean, 1st and 99th percentiles of the CHEI score were 52.4, 27.6 and 78.3, respectively. Young and middle-aged adults scored better than the elderly. Diet insufficiency was chiefly manifested in fruits, dairy, whole grains and poultry; diet excess was mainly reflected in red meat, cooking oils and sodium. The CHEI was positively associated with education and urbanization levels; current smokers and unmarried people obtained relative low CHEI scores. Occupation and body mass index (BMI) were also related to the CHEI. Our findings indicate that the CHEI is capable of recognizing differences in diet quality among the Chinese, and it is sensitive to typical sociodemographic/economic factors.

Microplastics (MPs) have garnered widespread attention because of their presence in human placenta, stool, and even blood. Ingestion is considered the major route of human exposure to MPs. It has been found that the consumption of food and water is associated with more MP abundance in human stools. The usage of plastic containers, particularly feeding bottles, may be a major contributor to MP contamination. However, human exposure to MPs and potential factors that influence exposure, especially for preschoolers, remains largely unknown. When exposed to MPs, mice exhibited gut microbiota dysbiosis, including alterations in diversity indices, a decreased relative abundance of probiotics and an increased abundance of pathogenic bacteria. Such results have also been observed in human gut in vitro models, however, the actual association between MP exposure and human intestinal microbiota remains unclear. Therefore, this study aimed to evaluate MP concentrations in preschoolers' stools, explore possible dietary factors that influence preschooler exposure to MPs, and investigate their potential association with the gut microbiota. A cross-sectional study was conducted in Xiamen, China in October 2022. We investigated the feeding behaviours and dietary habits of preschool children. A total of 69 couples of stool samples were collected and analyzed for MPs test and gut microbiota analysis. Pyrolysis-gas chromatography coupled with mass spectrometry (Py-GC/MS) was used for quantifying 11 types of MPs. The gut microbiota composition was analyzed by 16S rRNA gene sequencing. The results showed that only polyvinyl chloride (PVC), polyethylene terephthalate (PET), polyethylene (PE), and polyamide 6 (PA6) were detected in 85.5% stool samples, with concentrations of 317.4 (152.0, 491.9) μg/g dw, 299.0 (196.1, 619.9) μg/g dw, 206.2 (154.1, 240.3) μg/g dw, and 17.9 (13.4, 18.6) μg/g dw, respectively. The median estimated daily intake (EDI) for preschoolers was 425.9 (272.5, 762.3) μg/kg-bw/d. Dairy intake may influence MP concentration in preschoolers' stools, and the usage of feeding bottles may be a specific source of MP contamination. Moreover, higher PVC concentrations were observed in the stools when the children took more time to eat a meal. MP exposure was inversely associated with alpha indices and possibly affected certain probiotic taxa, such as Parabacteroides and Alistipes, in preschool children. Our data provided baseline evidence for MP exposure doses and potential dietary factors that may influence MP exposure in preschoolers. These findings supported the perspective that MP exposure might be associated with the disturbance of gut microbiota. Further studies focusing on sensitive populations with larger sample sizes are needed. This study was funded by the National Natural Science Foundation of China (grant number: 82003412), the Shanghai Municipal Health Commission (grant number: 20214Y0019), and the Project of Shanghai Municipal Financial Professional foundation (Food Safety Risk Assessment) (grant number: RA-2022-06).

The Chinese Healthy Eating Index (CHEI) is a measuring instrument of diet quality in accordance with the Dietary Guidelines for Chinese (DGC)-2016. The objective of the study was to evaluate the validity and reliability of the CHEI. Data from 12,473 adults from the China Health and Nutrition Survey (CHNS)-2011, including 3-day–24-h dietary recalls were used in this study. The CHEI was assessed by four exemplary menus developed by the DGC-2016, the general linear models, the independent t-test and the Mann–Whitney U-test, the Spearman’s correlation analysis, the principal components analysis (PCA), the Cronbach’s coefficient, and the Pearson correlation with nutrient intakes. A higher CHEI score was linked with lower exposure to known risk factors of Chinese diets. The CHEI scored nearly perfect for exemplary menus for adult men (99.8), adult women (99.7), and the healthy elderly (99.1), but not for young children (91.2). The CHEI was able to distinguish the difference in diet quality between smokers and non-smokers (P < 0.0001), people with higher and lower education levels (P < 0.0001), and people living in urban and rural areas (P < 0.0001). Low correlations with energy intake for the CHEI total and component scores (|r| < 0.34, P < 0.01) supported the index assessed diet quality independently of diet quantity. The PCA indicated that underlying multiple dimensions compose the CHEI, and Cronbach’s coefficient α was 0.22. Components of dairy, fruits and cooking oils had the greatest impact on the total score. People with a higher CHEI score had not only a higher absolute intake of nutrients (P < 0.001), but also a more nutrient-dense diet (P < 0.001). Our findings support the validity and reliability of the CHEI when using the 3-day–24-h recalls.

Environmental exposure to cadmium causes renal dysfunction and bone damage. Cadmium contamination in food is regarded as the main environmental source of non-occupational exposure. The aim of this study was to assess the contribution of dietary cadmium exposure in environmental cadmium exposure and its health risk among adults in Shanghai, China. A cross-sectional survey about food consumption was conducted in 2008 among 207 citizens aged over 40 years in Shanghai, China. The food frequency questionnaire was combined with food, tobacco and water cadmium exposure to estimate the daily environmental cadmium exposure in both point and probabilistic estimations. Urine and blood samples of the participants were analyzed for internal exposure to total cadmium. Correlation analysis was conducted between the internal cadmium exposure and environmental cadmium exposure. According to the point estimation, average daily environmental cadmium exposure of the participants was 16.7 μg/day and approached 33.8% of the provisional tolerable daily intake (PTDI). Dietary and tobacco cadmium exposure approached 25.8% and 7.9% of the PTDI, respectively. Males had higher levels of dietary cadmium exposure than females (p?=?0.002). The probabilistic model showed that 93.4% of the population did not have any health risks from dietary cadmium exposure. By sensitivity analysis, tobacco consumption, tobacco cadmium level, cadmium in vegetables and cadmium in rice accounted for 27.5%, 24.9%, 20.2% and 14.6% of the total cadmium exposure, respectively. The mean values of urinary and blood cadmium among the study population were 0.5 μg/L and 1.9 μg/L, respectively. Positive correlations were observed between environmental cadmium exposure and blood cadmium (R?=?0.52, P<0.01), tobacco cadmium intake and blood cadmium excluding non-smokers (R?=?0.26, P?=?0.049<0.05), and urine cadmium and age (R?=?0.15, P?=?0.037). It has been suggested that there is no increased health risk among adult residents in Shanghai, China because of recent total cadmium exposure. Vegetables and rice were the main sources of dietary cadmium intake. Tobacco cadmium exposure, which accounted for approximately 25% of the total dietary cadmium exposure, was another important source of non-occupational cadmium exposure.