To explore the key influencing factors of diabetic retinopathy (DR), analyze the current situation of DR, and construct a risk prediction model.

Based on the diabetic complication early warning data set published by the national population and health science data sharing platform, the key influencing factors of DR were obtained by univariate and multivariate Logistic regression analyses. The entropy weighting method, the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), and the rank-sum ratio (RSR) were used to quantify the risk of DR development in patients and stratified into three levels: high, medium, and low. Logistic regression, random forest, and support vector machine models were constructed, respectively, and model fusion was performed using voting, averaging, and weighted averaging to evaluate the model predictive effect and obtain the best predictive model.

Finally, 14 indexes including age and hyperlipidemia were extracted as key influencing factors. The stratification results showed that there were 50 diabetic patients without DR in this data set with a risk of about 82.99%, which was a high-risk group for DR and needed more attention. The best prediction effect was obtained from the voting machine fusion model (Acc: 80.18%, F1: 0.7868).

The key influencing factors of DR are analyzed, providing the direction of treatment and prevention. The low, medium, and high-risk groups of DR are classified for risk early warning. By comparing the effect between the models, the prediction model of morbidity risk of DR is constructed, providing insights for clinical early warning and data analysis.

To understand the external environmental dynamic distribution and human infection characteristics of H7 subtype avian influenza virus in Jiangxi Province, so as to provide basis for scientific prevention and control of avian influenza.

The surveillance information of avian influenza in the external environment of Jiangxi Province from 2013 to 2022 and the data of human infection with H7 subtype avian influenza were systematically collected and analyzed by descriptive epidemiological methods.

A total of 15 535 external environment samples were collected from 2013 to 2022, and the positive rate of H7 subtype was 1.85% (287/15 535). Positive samples were detected for 9 consecutive years since 2014, and the annual positive rate showed a downward trend as a whole (χ²_trend=2.168, P=0.231). The positive rate of H7 subtype in the external environment of Ganzhou city (2.96%), Nanchang city (2.77%) and Jiujiang city (2.66%) was higher, and there was significant difference in the positive rate among different regions (χ²=70.145 P < 0.001). The peak of positive rate was mainly in winter and spring (64.11%), and there was significant difference in different seasons (χ²=69.280, P < 0.001). There was a significant difference in the positive rate among different types of samples (χ²=16.948, P=0.005). A total of 52 cases of H7 subtype avian influenza were reported in Jiangxi Province from 2013 to 2022, mainly farmers, retirees, and migrant workers, accounting for 76.92%of cases over 45 years old. The time of onset was mainly in winter and spring, and 76.92% of the cases had history of poultry exposure. There was no significant correlation between the number of H7N9 avian influenza cases and the positive rate of H7 subtype in different months (Spearman coefficient = 0.515, P=0.087).

Although the positive rate of H7 subtype in the external environment of Jiangxi Province is low, the risk of human infection still exists. Etiological surveillance and comprehensive prevention and control measures should be carried out continuously to reduce the potential risk of human infection.

To explore the effect of a new type of low-protein enteral nutrition on the nutritional status of patients with chronic kidney disease in stage 3-4 under the guidance of individualized diet.

Sixty follow-up outpatients in West China Hospital of Sichuan University were randomly divided into the experimental group and the control group. The two groups were followed up on intervention day 0, day 45, and day 90. According to the principle of intentional analysis, the generalized estimation equation was used to analyze the between-group differences, time change trend, and interaction effect, and the principle of data analysis in accordance with the scheme was used to further verify the stability of results.

There was no significant difference in nutritional adequacy, clinical effectiveness, and anthropometric indexes between the test group and the control group (P > 0.05). During the intervention period, when the energy intake was stable, the intake of protein (χ²=17.680, P<0.001) and sodium salt (χ²=21.427, P<0.001) decreased significantly, while the total protein (χ²=18.075, P<0.001), calcium (χ²=9.438, P=0.009), phosphorus (χ²=13.866, P=0.001), and uric acid (χ²=9.005, P=0.011) fluctuated within the normal range. The results of data analysis in accordance with the scheme were basically consistent with those of intentionality analysis. Only the time change trend of upper arm muscle circumference (χ²=6.435, P=0.040) and the comparison of energy ratio between groups(χ²=4.478, P=0.034) were significantly different.

The new low-protein enteral nutrition preparation is not inferior to the total nutritional formula food for special medical use in improving the nutritional status of patients and delaying the progression of the disease. The use of enteral nutrition under dietary guidance is beneficial to the clinical nutrition management of

To explore the relationship between sleep disorder, depression, and health-related quality of life in the elderly, and the mediating effect of depression on sleep disorder and health-related quality of life.

In total 3 612 elderly people over 60 years old in Hebei Province were selected by stratified random sampling, and the related data were collected with the use of Pittsburgh sleep quality index (PSQI), the simplified geriatric depression scale (GDS-15), and concise health quality of life scale (SF-36).

There was a positive correlation between sleep disorder and depression in the elderly (r = 0.39, P < 0.001), and a negative correlation between sleep disorder, depression, and health-related quality of life (r = -0.43 and -0.40, P < 0.001). Sleep disorders and depression in the elderly had negative predictive effects on health-related quality of life (β =-0.26, -0.194,-0.43, and -0.520), and depression played a mediating role between sleep disorders and physical health-related quality of life in the elderly, accounting for 39.29% of the total effect. Depression played a mediating role between sleep disorders and mental health-related quality of life in the elderly, and the intermediary effect accounted for 51.57% of the total effect.

The health-related quality of life of the elderly with sleep disorder and depression is poor. Sleep disorder of the elderly not only directly affects the health-related quality of life, but also indirectly affects the physical and mental health-related quality of life of the elderly through depression.

To investigate the epidemic characteristics of pulmonary tuberculosis in Guilin, Guangxi Zhuang Autonomous region from 2012 to 2022, and to provide theoretical basis for the prevention and control of pulmonary tuberculosis in Guilin.

The relevant information of pulmonary tuberculosis cases reported by China Disease Prevention and Control Information system (Tuberculosis Surveillance and Report Management system) from 2012 to 2022 in Guilin, Guangxi Zhuang Autonomous region was collected. The distribution characteristics and incidence trend of pulmonary tuberculosis in Guilin from 2012 to 2022 were analyzed by chi-square and chi-square trend, and the average annual reported incidence and etiological positive rate of pulmonary tuberculosis were visually analyzed.

From 2012 to 2022, a total of 32 319 cases of pulmonary tuberculosis were reported in Guilin, with an average annual incidence of 59.40/100 000. The reported incidence of tuberculosis decreased from 68.59/100 000 in 2012 to 45.99/100 000 in 2022, with an annual decline rate of 4.08%. In total 12 132 cases were etiologically positive, accounting for 37.53%. The incidence of pulmonary tuberculosis decreased in all age groups in Guilin. The incidence increased with age (Z=21.017, P < 0.001). The reported incidence of males and females was basically stable at 3:1, and the reported incidence of males was higher than that of females (χ²=25.87, P < 0.001). Farmers were the main occupations of patients (23 375 cases), accounting for 72.32%. The reported incidence rate of pulmonary tuberculosis in more than half of the counties (districts) in Guilin was higher than the annual average level of the whole city, with Lipu county (88.96/100 000) being the highest. The etiological positive rate of most counties (districts) was higher than the average annual level of the whole city, with Pingle county (31.65/100 000) being the highest.

The reported incidence of pulmonary tuberculosis in Guilin shows an overall downward trend from 2012 to 2022. The high incidence of pulmonary tuberculosis is characterized by age 65 and above, male, occupation as farmer, and the place of residence in the south of Guilin.

To investigate the current situation of behavioral problems of senior primary school students in Guizhou Province, and to explore the influence of family-related factors on primary school students’ behavioral problems.

By using the method of multi-stage stratified cluster random sampling, a total of 2 698 subjects were selected from one primary school in each of three urban areas with different levels of economic development in Guizhou Province. The parents of primary school students were investigated with self-made questionnaire and Achenbach Child Behavior Checklist (CBCL). The χ² test was used to compare the differences, and the logistic regression analysis was used to analyze the relationship between family-related factors and pupils’ behavior problems.

The detection rate of behavior problems in senior primary school students was 11.60%, which was 11.79% in boys and 11.40% in girls, respectively, with no significant gender difference (P>0.05). The detection rate of behavior problems in students of grades 4 to 6 was 13.36%, 12.49%, and 9.30%, respectively, and the difference between grades was statistically significant (P<0.05). The top behavioral problem was obsessive-compulsive behavior (4.92%) and hyperactive behavior (3.44%) in 6-11-year-old boys and girls, respectively. The top behavioral problem was hyperactive behavior(2.66%) and aggressive behavior (15.30%) in 12-16-year-old boys and girls, respectively. The results of Logistic regression analysis showed that parents’ introverted personality, mother’s poor health status, and mother’s neglected rearing style were positively correlated with primary school students’ behavior problems (OR=1.52, 1.54, 1.74, and 2.22), while father’s college education, no bad life habits of parents, and father’s democratic rearing style were inversely correlated with primary school students’ behavior problems (OR=0.43, 0.66, 0.64, and 0.59).

The detection rate of behavioral problems among primary school students in Guizhou Province is still at a high level, which is related to various family factors. Parents should improve their own self-quality and improve the family environment to reduce the occurrence of behavioral problems in primary school students.

To explore the mediating effect of self-perceived aging on the relationship between digital health literacy and technophobia of the rural elderly.

By using the method of multi-stage sampling, 503 rural elderly in Hebei Province were investigated by general data questionnaire, technophobia scale, simplified self-perceived aging scale, and digital health literacy assessment scale from July to August, 2023. The mediating effect test program was used for mediating analysis and Bootstrap test was used for verification.

The scores of technophobia, self-perceived aging, and technophobia of the elderly in rural areas of Hebei Province were 36.40±10.22, 51.99±8.24, and 39.76±13.82, respectively. Pearson correlation analysis showed that digital health literacy was negatively correlated with technophobia and self-perceived aging (r=0.433, P < 0.001; r=0.454, P < 0.001), while self-perceived aging was positively correlated with technophobia (r=0.401, P < 0.001). The mediating effect test results showed that self-perceived aging had mediating effect between digital health literacy and technophobia of the rural elderly, and the mediating effect accounted for 40.0%.

Digital health literacy and self-perceived aging of the elderly directly affect technophobia. At the same time, digital health literacy can also indirectly affect technophobia through self-perceived aging.

To analyze the prevalence of non-alcoholic fatty liver disease (NAFLD) and its influencing factors, and to explore the role of residual lipoprotein (RC) in risk assessment of NAFLD in the elderly.

The elderly over 60 years old in Xinzheng city, Henan Province in 2021 were selected as the research subjects, and the basic information, physical examination data, and laboratory indexes were collected. The role of RC in risk assessment of NAFLD in the elderly population was investigated by t test, χ² test, and multivariate Logistic regression analysis with the use of SPSS 26.0 software and R4.2.2.

A total of 62 730 elderly people were included in this study, and the prevalence rate of NAFLD was 26.02%. In univariate analysis, with the increase of RC level, the prevalence rate of the elderly population increased steadily, with the lowest in the first quartile and the highest in the second quartile (23.77% and 30.43%, respectively). Multivariate Logistic regression showed that the risk of NAFLD in women was 1.728 times higher than that in men (95%CI: 1.607-1.858), and the increase of age, BMI,waist circumference, fasting blood-glucose (FBG), triglyceride (TG), total cholesterol (TC), low density lipoprotein cholesterol(LDL-C), and RC increased the risk of NAFLD. For every unit increase in RC, the risk of disease increased by 56.30% (95%CI:1.433-1.704), and after adjusting for confounding factors, RC was still a risk factor for NAFLD.

The prevalence of NAFLD is high in the elderly, and there is an independent correlation between RC and NAFLD.

To explore the causal relationship between hypothyroidism and the risk of coronary heart disease (CHD) by two-sample Mendelian randomization study.

Based on the association analysis data at the whole genome level, the exposure was hypothyroidism and the outcome was coronary heart disease. Random effect IVW method, MR-Egger method, and weighted median method were used for two sample Mendelian randomized analysis, and heterogeneity test, horizontal multiplicity analysis, and sensitivity analysis were carried out.

The results of random effect IVW method, weighted median method, and MR-Egger regression were 1.137 (95%CI: 1.070-1.209), 1.117 (95%CI: 1.028-1.214), and 1.194 (95%CI: 1.020-1.398), respectively, indicating that hypothyroidism was a risk factor for coronary heart disease with a positive causal correlation between them.

There is a causal relationship between hypothyroidism and the risk of coronary heart disease.

To compare the fitting effect of ARIMA model and grey model (GM) (1,1) in the under five mortality rate(U5MR) in Shenzhen, and to predict the U5MR in Shenzhen in the next 3 years, so as to provide scientific basis for the formulation of child health care plan.

Taking the U5MR in Shenzhen from 2005 to 2022 as the original data, ARIMA model and GM (1,1) model were constructed to fit the child mortality rate. The mean absolute error (MAE) and mean absolute percentage error (MAPE) were used to compare the fitting effect of the two models.

From 2005 to 2022, the U5MR in Shenzhen showed a downward trend, lower than the national average. The MAE of the constructed ARIMA model and GM (1,1) model was 0.30 and 0.24, respectively, and the MAPE was 11.53% and 8.73%, respectively. The fitting effect of the GM (1,1)model was good. The U5MR in Shenzhen from 2023 to 2025 would be 1.27 ‰, 1.18 ‰, and 1.09 ‰, respectively, predicted by GM (1,1) model.

The fitting effect of GM (1, 1) model on U5MR in Shenzhen is better than that of ARIMA model, and it is predicted that the U5MR in Shenzhen will decrease year by year in the next 3 years.