Some diet factors are risk factors for dental erosion. We performed computer searches of PubMed, Cochrane Library, EBSCO, CALIS, et al., to search for studies investigating risk factors for dental erosion. For risk factors investigated in a comparative way, we computed pooled odds ratios (ORs) using the Mantel and Haenszel method. A total of 9 studies met the inclusion criteria, and 6 risk factors were considered, including soft drinks, sports drinks, juice, vitamin C, milk, and yoghourt. The following associations were found for soft drinks (OR = 2.41, 95%CI = 2.03–2.85) and vitamin C (OR = 1.16, 95%CI = 1.10–1.22). While juice (OR = 0.90, 95%CI = 0.25–3.24), sports drinks (OR = 1.58, 95%CI = 0.88–2.85), milk (OR = 0.67, 95%CI = 0.11–4.01), and yoghourt products (OR = 1.05, 95%CI = 0.28–3.96) were not associated with dental erosion. This meta-analysis provides comprehensive evidence-based assessment of diet-related factors for dental erosion. Preventive strategies should be taken to reduce dental erosion.

The key dietary pattern other than dietary factors influencing obesity has been reported by several large epidemiological studies. This study was carried out between 2010 and 2012 including 1613 adult residents in Zhejiang Province. Dietary patterns were extracted by factor analysis based on 24-h dietary recall. Associations with dietary patterns and obesity were examined and adjusted for age and gender by logistic regression. Five dietary patterns were identified by factor analysis with their eigenvalues greater than 1: ‘cereal, animal, and plant food’, ‘high protein food’, ‘plant food’, ‘poultry’, and ‘beverage’. After adjustment for age and gender, the ‘cereal, animal, and plant food’ and ‘beverage’ pattern was associated with obesity (OR = 2.924, 3.257; 95% CI = 1.147–7.463, 1.372–7.692). In conclusion, ‘cereal, animal, and plant food’ and ‘beverage’ dietary patterns may be associated with increased risk of obesity. ‘Cereal, animal, and plant food’ dietary patterns may be associated with increased risk of obesity resulting from increased total energy intake by increased protein and fat intake; while a ‘beverage’ dietary pattern may be associated with increased risk of obesity resulting from increased total energy intake by increased carbohydrate intake. The findings are valuable in targeting future nutrition education.

There is growing concern over the double burden of over- and under-nutrition in individuals, especially in children and adolescents, which could dwarf their growth and development. This study aims to explore the rural-urban difference in BMI and anemia among children and adolescents. A stratified cluster sampling technique was employed. Dietary data were collected through interviews, and anthropometric values were measured. There were 1534 children and adolescents who participated in this study, including 775 male and 759 female participants. The prevalence of obesity among children living in a city, township and rural area was 10.3%, 8.5% and 5.5%, and that among adolescents was 1.4%, 2.9% and 2.8%. The prevalence of anemia among children and living in a city, township and rural area was 4.3%, 2.5% and 4.5%, while that among adolescents was 6.1%, 3.7% and 11.3%, respectively, with significant difference (χ² = 10.824, p = 0.004). The prevalence of being overweight, obesity and anemia was significant when comparing children with adolescents (χ² = 37.861, p = 0.000; χ² = 19.832, p = 0.000; χ² = 8.611, p = 0.003). Findings of this study indicate the double burden of malnutrition in Zhejiang province, characterized by a high prevalence of being overweight, obesity and anemia among children and a high prevalence of anemia among adolescents living in townships.

Background: Phthalates have been blended in various compositions as plasticizers worldwide for a variety of purposes, and there are more and more polymers in the packaging of tobacco. Methods: We investigated phthalate exposure in pregnant women to explore the influence of exposure to environmental tobacco smoke (ETS). In 2013, a total of 620 pregnant women in 30 counties (district) of Zhejiang Province were selected by probability proportionate to size sampling method, and they were interviewed for the sociodemographic characteristic, lifestyle characteristics, and 77 of them were selected by random and agreed to provide a urine sample. GC/MS method was used to determine the concentration of phthalate in urine including DMP, DEP, DIBP, DBP, BMPP, DPP, DHXP, BBP, HEP, BNBP, DCHP, DEHP, DOP, DNP, MMP, MEP, MBP, MEHP, ans MBzP. The distribution characteristics of the levels of phthalate between pregnant women with or without exposure to ETS were described, and logistic regression analysis was used to analyze the association between the phthalate levels and influencing factors. Results: We found that there was significant difference between pregnant women with or without exposure to ETS on DIBP, DBP, DNP (Z = 2.192, 2.172, 2356; p = .028, .030, .018). In multifactors analysis, we found that higher level concentration of DIBP (OR= 3.895, 95% = 1.12–13.546), DBP (OR = 5.25, 95% = 1.4–19.692), DPP (OR = 16.5, 95% = 1.058–250.176), DNP (OR = 8.00, 95% = 1.85–34.604) were associated by exposure to ETS. Conclusions: Pregnant women with or without exposure to ETS were associated with urinary DIBP, DBP, DPP, and DNP. Exposure to ETS may increase the urinary phthalate levels among pregnant women.

Objective: To explore the food and nutrient characteristics of children and adolescents with or without overweight/obesity and to provide scientific basis for the development of prevention strategies on overweight/obesity. Methods: This study included children and adolescents aged 6–17 years who participated in provincial nutrition surveillance which included 90 counties (cities and districts) in Zhejiang Province with a provincial representative. Food consumption was assessed using three consecutive days of 24 h dietary recall, and nutrient intake was calculated using dietary recall in conjunction with the China Food Composition Table. Overweight/obesity was also investigated. Associations were evaluated using ordinal regression models. Results: The analysis included a total of 1827 children and adolescents. The overweight prevalence was 14.0% and the obesity prevalence was 10.1%. Children and adolescents with overweight/obesity were observed to have a higher intake of carbohydrates, iron, sodium, potassium, and magnesium (F = 3.464, 5.232, 5.619, 3.469, 3.934, p < 0.05), as well as having a higher intake of the food group of cereals, tubers and beans, snacks, and salt (F = 7.348, 6.797, 3.413, p < 0.05) compared to children and adolescents without overweight/obesity. After adjusting for potential confounders via ordinal regression models, children and adolescents with overweight/obesity were observed to have a higher intake of carbohydrates (Wald χ² = 4.325, p < 0.05). There were significant differences concerning the daily energy provided by snacks, the daily carbohydrate intake provided by snacks, the daily sodium intake provided by snacks, and the proportion of snacks to the food group of cereals, tubers, and beans (F = 8.305 6.316, 13.955, 3.692, p < 0.05). Conclusion: Children and adolescents with overweight/obesity have presented a high consumption of carbohydrates, which is associated with the food group of cereals, tubers, and beans. Snacks are the main factor leading to the high intake of the food group of cereals, tubers, and beans among children and adolescents with overweight/obesity.

To systematically evaluate therapeutic success of the ketogenic diet (KD) as a treatment option for epilepsy. Using MEDLINE and Google Scholar search, we searched for studies investigating the therapeutic success of ketogenic diet for epilepsy. We estimated therapeutic success rate for ketogenic diet as a treatment option for epilepsy and its 95% CIs using generic inverse variance method. A total of 38 studies met the inclusion criteria. In retrospective studies, the weighted success rate of the patients who take the KD as a treatment option for epilepsy was 58.4% (95% confidence interval (95%CI)=48.7% – 69.9%) at 3 months (n=336); 42.8% (95%CI =36.3% – 50.3%) at 6 months (n=492), and 30.1% (95%CI =24.3% – 37.2%) at 12 months (n=387); in prospective studies, weighted success rate was 53.9% (95%CI 45.5% – 63.8%) at 3 months (n=474); 53.2% (95%CI =44.0% – 64.2%) at 6 months (n=321), and 55.0% (95%CI =45.9% – 65.9%) at 12 months (n=347). This meta-analysis provides formal statistical support for the efficacy of the ketogenic diet in the treatment of epileptic patients.