OBJECTIVE: The objective of this study was to examine the effects of nutritional therapy in adult patients with severe burns.
METHODS: Sixty adult patients with severe burns were enrolled. Data on nutritional intake through enteral nutrition (EN) or parenteral nutrition (PN) on days 7, 14, 21, and 28 post-injury were collected. Patients were divided into target and non-target groups according to whether their energy or protein intake reached the target. Age, length of ventilation, and total bilirubin (TBIL), albumin (ALB), prealbumin (pALB), and C-reactive protein (CRP) concentrations of patients were recorded.
RESULTS: The percentage of protein targets with protein delivery was lower than that of energy target with energy delivery. The ratio of PN protein to total protein was lower than that of PN energy to total energy on days 7, 14, 21, and 28 (p<0.001, p<0.001, p=0.001, and p=0.003, respectively). Compared to the non-target group on day 21, the target group was younger, had lower TBIL on day 7, higher ALB and pALB on day 21, and lower CRP on day 14 (p=0.025, p=0.021, p=0.028, p=0.029, and p=0.049, respectively). Multivariate logistic regression analysis showed that older age and longer ventilation were independent risk factors in patients who did not meet the nutritional target on day 21 (p=0.026 and p=0.043, respectively).
CONCLUSIONS: The protein intake of adult patients with severe burns was low. Compared to the non-target group, the target group had better laboratory test results. Older age and longer ventilation were independent risk factors for patients not meeting the nutritional target.

The prevalence of obesity has been increasing in the US. Among the multifactorial contributors to obesity, dietary factors stand out as primary drivers. Using data from NHANES, we investigated the trends and disparities in diet quality and nutrient intake among US adults with different bodyweight statuses. Participants were divided into normal weight, overweight, and obese groups based on BMI. Diet quality was examined using HEI-2020. Nutrient intake was estimated based on the USDA Food and Nutrient Database for Dietary Studies. From 1999 to 2020, Despite an overall improvement in diet quality among overweight and obese US adults, disparities persisted for most HEI-2020 components, and worsened for whole grains, seafood and plant proteins, and fatty acids between normal weight and obese participants. Overweight and obese participants tended to consume less energy from total carbohydrates and more from total fat. The estimated total energy intake increased among obese participants over the past two decades, while no significant changes were observed among normal weight and overweight participants. In the 2017-2020 period, obese participants had lower HEI-2020 scores than both normal weight and overweight participants. However, no significant differences in total energy intake were observed among normal weight, overweight, and obese populations.

Most previous studies on the association between vegetarian diet and inflammation have used only one inflammatory biomarker e.g., C-reactive protein (CRP) and the findings were generally inconsistent. Therefore, we conducted a cross-sectional study to investigate the correlation between diet and inflammation in Chinese vegetarians using dietary indices and multiple inflammatory biomarkers. 279 vegetarians and omnivores of the same sex and age recruited in Shanghai, 2016. 24-h dietary review questionnaire was collected and used to calculate Dietary inflammatory index (DII) and Energy-adjusted inflammatory index (E-DII) of both groups. In addition, energy intake matched vegetarian and omnivore recipes were designed by registed dietitions and used to calculate a theoretical DII. Five serum inflammatory biomarkers CRP, interleukin-6 (IL-6), tumor necrosis factor-α (TNF-α), neutrophil-lymphocyte ratio (NLR), and platelet-lymphocyte ratio (PLR) were measured. We found that vegetarians had significantly lower E-DII and theoretical DII than omnivores (P < 0.001). In contrast, the raw DII of vegetarians was almost the same with that of omnivores, probably due to lower energy intake in vegetarians than in omnivores (1367.97 ± 479.75 vs. 1724.78 ± 568.13, P < 0.001). Levels of TNF-α, IL-6, NLR and PLR were significantly higher in vegetarians than in omnivores while no statistical differences were found in CRP. In conclusion, a theoretical vegetarian diet with adequate energy intake as well as a balanced dietary intake showed good anti-inflammatory effects, though this was not fully reflected in vegetarian population in the real world, probably due to insufficient energy intake in the vegetarian population.

OBJECTIVE: To understand the current status of protein, fat, carbohydrates, energy, vitamins, minerals and other contents in common dishes of large, small, and medium-sized restaurants in Shandong Province.
METHODS: From July to October 2021, 90 Shandong cuisine dishes were collected from 9 large, medium, and small restaurants in Shandong Province. One dish was collected from each restaurant, and samples from different types of restaurants were mixed as one sample. The content of nutrients and their carbohydrate and energy levels were detected and calculated.
RESULTS: The median fat and protein content detected in the 90 dishes collected were 7.7 and 6.8 g/100 g, respectively. The calculated median values of energy and carbohydrates were 528 kJ/100 g and 5.4 g/100 g, respectively. The energy supply ratio of carbohydrates per 100 g of dishes was 17.2%, fat was 55.3%, and protein was 21.4%. The content of vitamin A, vitamin B_1, vitamin B_2, vitamin C and vitamin E was trace(tr)-26 700 μg/100 g, tr-0.12 mg/100 g, tr-0.40 mg/100 g, tr-56.5 mg/100 g and tr-5.31 mg α-TE/100 g. The medium number of dishes and potassium content was 375 and 219 mg/100 g. The detection rate of trans fat acid was 81.1%, and the median content was 0.06 g/100 g.
CONCLUSIONS: The energy supply ratio of protein and fat in dishes is relatively high, while the energy supply ratio of total carbohydrates is relatively low. The sodium content is high, showing the characteristics of high sodium and low potassium. Vitamin, especially vitamin B_1 and vitamin B_2, has a low content.

OBJECTIVE: To compare the differences in estimated food, energy, and nutrient intakes between the consecutive 3 days 24-hour dietary recall(24HR)(referred to as the 3-day method) and consecutive 2 days 24HR(referred to as the 2-day method) to provide a basis for the use of consecutive 2 days 24HR in China nutrition surveillance.
METHODS: Using objective sampling to select participants in northern and southern provinces, dietary data were obtained through consecutive 3 days 24HR, and the average intakes of food, energy and nutrients were calculated for three days from Thursday to Saturday and two days on Friday and Saturday, respectively. The 3-day method was considered as the reference standard method to evaluate the performance of the 2-day method for estimating food, energy and nutrient intakes.
RESULTS: Among 778 participants aged 18-60 years in urban and rural areas of two provinces, the errors of the mean and median of 2-day method for estimating the intake of four major food categories less than 6% compared with the 3-day method, and there were significant equivalencies(P<0.025) and no significant differences in four major food categories group(P>0.05). Of the 24 food groups estimated by the 2-day method, 17 had mean errors within 5%, the largest error was in animal offal(13.45%) and the smallest in fruit(0.15%), and there were significant equivalencies(P<0.025) and no significant differences in seven food groups(P>0.05). For energy and nutrients, the mean and median errors of energy were less than 0.5% and there were significant equivalencies(P<0.025) and no significant differences for energy(P>0.05). Among the 25 nutrients, except sodium, iodine and vitamin E, the mean and median errors of the other 22 nutrients were less than 5%, and there were significant equivalencies(P<0.025) and no significant differences in 16 nutrients(P>0.05).
CONCLUSIONS: There was little difference between the two survey method in assessing the intake of high consumption frequency foods, energy and most nutrients at group level, the 2-day method can be used as an alternative to the 3-day method to collect dietary intake data with high consumption rates in the population.

BACKGROUND: This study aimed to conduct a detailed and comparative analysis of body composition and dietary habits in elite swimming and water polo athletes. Through the examination of these key parameters, this study seeks to compare the dietary intake of these two distinct aquatic sports disciplines.
METHODS: A total of 10 top-level swimmers and 13 water polo athletes participated in anthropometric and body composition assessments, as well as a detailed analysis of nutritional intake. To compare the two groups, an independent samples t-test was used, and variance homogeneity was checked using Levene\'s test. The effect size of the group differences was evaluated using Hedges\' g.
RESULTS: Water polo athletes showed significantly greater height (189.4 ± 2.9 vs. 186.5 ± 2.0 cm, p = 0.013), body mass index (24.3 ± 1.4 vs. 22.1 ± 0.5 kg/m2, p < 0.001), fat-free mass (62.9 ± 1.4 vs. 61.1 ± 1.38 kg, p < 0.001), skeletal muscle mass (47.1 ± 1.3 vs. 43.9 ± 1.6 kg, p < 0.001), and overall weight (86.9 ± 6.9 vs. 76.7 ± 2.2 kg, p < 0.001) in comparison to swimmers. Swimmers consumed greater amounts of mean daily energy (60.0 ± 1.0 vs. 39.0 ± 1.0 kcal/kg, p < 0.001), carbohydrate (7.8 ± 0.3 vs. 4.4 ± 0.5 g/kg, p < 0.001), protein (1.7 ± 0.5 vs. 1.4 ± 0.5 g/kg, p < 0.001), and fat (2.4 ± 0.5 vs. 1.7 ± 0.5 g/kg, p < 0.001) compared to water polo athletes.
CONCLUSIONS: Our findings highlight the need for differentiated targeted nutritional interventions to enhance athletic performance in different types of water sports. Compared to water polo athletes, swimmers consumed significantly higher amounts of calories, matching their increased calorie demand from their specific training regime. However, this is an observational study and the differential needs of energy and macronutrients in water sports should be confirmed by studies with energy expenditure measurements.

The objectives of this study were to evaluate the energy partition patterns of growing pigs fed diets with different net energy (NE) levels based on machine learning methods, and to develop prediction models for the NE requirement of growing pigs. Twenty-four Duroc × Landrace × Yorkshire crossbred barrows with an initial body weight of 24.90 ± 0.46 kg were randomly assigned to 3 dietary treatments, including the low NE group (2,325 kcal/kg), the medium NE group (2,475 kcal/kg), and the high NE group (2,625 kcal/kg). The total feces and urine produced from each pig during each period were collected, to calculate the NE intake, NE retained as protein (NEp), and NE retained as lipid (NEl). A total of 240 sets of data on the energy partition patterns of each pig were collected, 75% of the data in the dataset was randomly selected as the training dataset, and the remaining 25% was set as the testing dataset. Prediction models for the NE requirement of growing pigs were developed using algorithms including multiple linear regression (MR), artificial neural networks (ANN), k-nearest neighbor (KNN), and random forest (RF), and the prediction performance of these models was compared on the testing dataset. The results showed pigs in the low NE group showed a lower average daily gain, lower average daily feed intake, lower NE intake, but greater feed conversion ratio compared to pigs in the high NE group in most growth stages. In addition, pigs in the 3 treatment groups did not show a significant difference in NEp in all growth stages, while pigs in the medium and high NE groups showed greater NEl compared to pig in the low NE group in growth stages from 25 to 55 kg (P < 0.05). Among the developed prediction models for NE intake, NEp, and NEl, the ANN models demonstrated the most optimal prediction performance with the smallest root mean square error (RMSE) and the largest R2, while the RF models had the worst prediction performance with the largest RMSE and the smallest R2. In conclusion, diets with varied NE concentrations within a certain range did not affect the NEp of growing pigs, and the models developed with the ANN algorithm could accurately achieve the NE requirement prediction in growing pigs.
Net energy (NE) can unify the energy value of the feed with the energy requirements of the pig more accurately and is the optimal system for accurately predicting the growth performance of pigs. The evaluation of the NE partition pattern is difficult and costly, thus, establishing a predicted model is a more efficient way. This study was conducted to evaluate the energy partition patterns of growing pigs fed diets with different NE levels based on machine learning methods. Diets with varied NE concentrations within a certain range did not affect the growth performance and NE requirement for lipid deposition in growing pigs. Among the 4 models developed to predict NE requirements, the artificial neural networks model had the highest accuracy, while the multiple linear regression model had the highest interpretability.

BACKGROUND: Early childhood caries (ECC) is a challenge for pediatric dentists all over the world, and dietary factor is an important factor affecting the occurrence of ECC. Currently, there is limited research on the impact of dietary nutrient intake from Chinese diets on ECC. The purpose of this study is to explore the correlation of dietary nutrients intake with ECC and caries activity (CA) among children aged 3-5 years, and to provide dietary guidance to slow down the occurrence and development of ECC.
METHODS: A cross-sectional study was conducted in 2022. A total of 155 children were divided into three groups: caries-free group, ECC group and Severe early childhood caries (SECC) group according to the caries statues. And according to the caries activity test (CAT) value, they were also divided into three group: low CA group (L-CA), middle CA group (M-CA) and high CA group (H-CA). The 24-hour dietary intake information was collected by mobile phone application (APP). The intake of children\'s daily dietary nutrients were calculated referring to \"China Food Composition Tables\".
RESULTS: In this study, 17, 39,and 99 children were diagnosed with caries-free, ECC, and SECC. There were 33, 36, and 86 children diagnosed with L-CA, M-CA, and H-CA. The risk of ECC was increased with the intake of cholesterol(OR = 1.005) and magnesium (OR = 1.026) and decreased with the intake of iron (OR = 0.770). The risk of SECC was increased with the intake of cholesterol (OR = 1.003). The risk of high CA was increased with the intake of cholesterol (OR = 1.002). The combined application of dietary total calories, carbohydrate, cholesterol, sodium, magnesium and selenium in the diagnosis of ECC had an area under ROC curve of 0.741.
CONCLUSIONS: The increased dietary cholesterol intake may be a common risk factor for ECC and high CA in children aged 3-5. The combined application of dietary intake of total calories, carbohydrate, cholesterol, sodium, magnesium and selenium has a higher predictive value for the occurrence of ECC.

Half of Chinese adults face the double burden of overweight/obesity and micronutrient deficiencies, and nearly 40% of them are severely overweight/obese or have micronutrient deficiencies. This study used the data from China Nutrition and Health Survey (CNHS) from 2015 to 2017 to estimate the prevalence of inadequate dietary micronutrient intake (including vitamin A, vitamin B1, vitamin B2, vitamin C, cCalcium, iron and sodium) in Chinese adults and further determine the differences in micronutrient intake by gender, age and BMI. A total of 61,768 subjects were included in this study, of which 33,262 (54%) were female. The intake of energy and all macronutrients decreased with age, and the intake was higher in men than in women. Inadequate energy intake occurs in adults of all ages. In terms of nutrient intake, women had a higher rate of insufficient carbohydrate intake than men in all age groups. Inadequate protein intake was more common in women aged 18-49 years (60.9%) than in men. Compared with women, men had a higher rate of vitamin B2 intake. Insufficient vitamin B3 intake was more common in women aged 18-49 years (35.6%), men aged 65-79 years (39.7%) and men aged 80 years and above (47.9%). In all age groups, insufficient vitamin C intake is higher in women than in men-up to 85.8 percent in women aged 80 years old and above. Compared with men in the same age group, insufficient intake of calcium and iron is more obvious in women. Women have significantly higher rates of inadequate intake of calcium, iron and sodium than men. In the analysis of correlations between BMI or demographic data and micronutrient intakes, the likelihood of micronutrient intakes being insufficient was higher in the central and western regions in all age groups compared to the eastern regions. The risk of insufficient micronutrient intake was higher in obese men and women aged 18-49 years and 50-64 years. Underweight and overweight women in the 65-79 age group were more likely to have inadequate micronutrient intake. Obese women over 80 years of age were less likely to have inadequate micronutrient intake. No significant difference was found between urban and rural areas for each age group.

BACKGROUND: Diet and inflammation are associated with constipation. Dietary inflammation index (DII) and energy-dietary inflammation index (E-DII) have not been evaluated together with constipation. Therefore, this study was conducted to further observe the relationship between DII and E-DII and constipation in American adults.
METHODS: Data were extracted from the National Health and Nutrition Examination Survey (NHANES) for 12,400 adults aged 20 years and older between 2005 and 2010. DII and E-DII were obtained by employing data from the two 24-h dietary recall of the participants. Constipation was defined and categorized using the Bristol Stool Form Scale.
RESULTS: In the logistic regression model, the relationship between DII and E-DII and constipation remained positive after adjusting for confounding factors (odds ratio [OR] = 1.13; 95% confidence interval [CI]: 1.07-1.20 in DII logistic regression model III; odds ratio [OR] = 1.09; 95% confidence interval [CI]: 1.03-1.17 in E-DII logistic regression model III). Constipation was more common in quartile 4 (DII: 2.87-5.09; E-DII: 1.78-8.95) than in quartile 1 (DII: -5.11-0.25; E-DII: -2.60-0.11) (OR = 1.79, 95% CI: 1.30-2.47 in DII and OR = 1.75, 95% CI: 1.25-2.46 in E-DII for all participants; OR = 2.04, 95% CI: 1.39-3.00 in DII OR = 2.20, 95% CI: 1.39-3.47 in E-DII for males; OR = 1.86, 95% CI: 1.08-3.22 and OR = 1.80, 95% CI: 1.06-3.06 for females). These results were confirmed using multiple imputations.
CONCLUSIONS: The findings of this study show that a high DII and E-DII were associated with an increased incidence of constipation among US adults.