RESUMEN
Objective@#To analyze the nutritional literacy and influencing factors among students from Nutrition Improvement Program for Rural Compulsory Education Students (NIPRCES) in Chongqing, and to provide a scientific basis for improving the nutritional literacy of middle school students in the NIPRCES.@*Methods@#Using cross sectional survey, a total of 3 365 students in the grade 7 and 8 were selected from the middle schools in 12 national pilot districts and 2 Chongqing pilot districts by online survey in September 2020. Students filled out a self designed nutritional literacy questionnaire anonymously. The relative evaluation method was used to convert the nutritional literacy of scores into a percentile, and the median score was used as the criterion for qualified nutritional literacy screening.@*Results@#The median score of nutritional literacy of participants was 63.5, and 64.2% achieved the qualified level. The results of multivariate Logistic regression analysis showed that boarding school ( OR =1.28, 95% CI =1.08- 1.51 ) and no parents as the primary caregiver ( OR =1.22，95% CI =1.05-1.42) were associated with poor nutritional literacy. Urban residence ( OR =0.75, 95% CI =0.63-0.90), NIPRCES local pilot ( OR =0.83, 95% CI =0.71-0.97) and high paternal education ( OR =0.70, 95% CI =0.52-0.95) were associated with higher nutritional literacy ( P <0.01). Classroom was the main channel for students to obtain nutrition information at present (65.1%) and in the future (72.8%).@*Conclusion@#The nutritional literacy among students in the NIPRCES in Chongqing needs to be improved. Nutritional literacy level of students can be strengthened by nutritional education in boarding schools, rural areas, national pilot areas, and primary caregivers.
RESUMEN
OBJECTIVE: To analyze the indications of the therapies for rheumatoid arthritis (RA) with neural network model analysis. METHODS: Three hundred and ninety-seven patients were included in the clinical trial from 9 clinical centers. They were randomly divided into Western medicine (WM) treated group, 194 cases; and traditional Chinese herbal medicine (CM) treated group, 203 cases. A complete physical examination and 18 common clinical manifestations were prepared before the randomization and after the treatment. The WM therapy included voltaren extended action tablet, methotrexate and sulfasalazine. The CM therapy included Glucosidorum Tripterygii Totorum Tablet and syndrome differentiation treatment. The American College of Rheumatology 20 (ACR20) was taken as efficacy evaluation. All data were analyzed on SAS 8.2 statistical package. The relationships between each variable and efficacy were analyzed, and the variables with P<0.2 were included for the data mining analysis with neural network model. All data were classified into training set (75%) and verification set (25%) for further verification on the data-mining model. RESULTS: Eighteen variables in CM and 24 variables in WM were included in the data-mining model. In CM, morning stiffness, swollen joint number, peripheral immunoglobulin M (IgM) level, tenderness joint number, tenderness, rheumatoid factor (RF), C-reactive protein (CRP) and joint pain were positively related to the efficacy, and disease duration and more urination at night negatively related to the efficacy. In WM, erythrocyte sedimentation rate (ESR), weak waist, white fur in tongue, joint pain, joint stiffness and swollen joint were positively related to the efficacy, and yellow fur in tongue, red tongue, white blood negatively related to the efficacy. In the analysis with the neural network model in the patients of verification set, the predictive response rates of 20% patients would be 100% and 90% in the treatment with CM and WM, respectively. CONCLUSION: Neural network model analysis, based on the full clinical trial data with collection of both traditional Chinese medicine and modern medicine diagnostic information, shows a good predictive role for the information in the efficacy in rheumatoid arthritis.
RESUMEN
OBJECTIVE: To evaluate the correlations between clinical symptoms and treatment efficacy in patients with rheumatoid arthritis (RA). METHODS: Four hundred and thirteen patients were included in the clinical trial from 9 clinical centers. They were randomly divided into Western medicine-treated group with 204 cases and Chinese herbal drug-treated group with 209 cases. Eighteen clinical symptoms were evaluated before and after treatment. The Western medicine therapy included voltaren extended release tablets, methotrexate and sulfasalazine. The Chinese herbal drug therapy included glucosidorum Tripterygii totorum tablets and Yishen Juanbi Tablets combined with treatment based on syndrome differentiation. The American College of Rheumatology 20 (ACR20) was used as efficacy evaluation criteria. RESULTS: In the Chinese herbal drug-treated group, clinical symptoms such as arthralgia and tenderness of joints were positively correlated with the efficacy after 12-week treatment, while frequent urination at night was negatively correlated. In the same group, tenderness of joints and fever were positively correlated with the efficacy after 24-week treatment, while deep-colored and turbid urine was negatively correlated. In the Western medicine-treated group, tenderness of joints and thirst were positively correlated with the efficacy after 12-week treatment, while vertigo was negatively correlated. And in the same group, tenderness of joints was positively correlated with the efficacy after 24-week treatment, while heaviness of limbs was negatively correlated to the efficacy. The statistical results showed that the treatment efficacy was improved when the correlated symptoms were included in the indications. CONCLUSION: The treatment efficacy of RA is correlated with some symptoms, so further studies should proceed on these correlations in order to achieve better treatment outcome.