To analyze the training content needs and preferences of administrative personnel in a tertiary public hospital under the backdrop of high-quality hospital development, aiming to enhance their overall performance and effectiveness in supporting hospital growth.

This study utilized a questionnaire survey and employed chi-square goodness-of-fit test for statistical analysis.

A total of 70 questionnaires were collected. 84.29% of the respondents believed that the relevance of training content, 74.29% thought time conflicts, and 70.00% considered leadership attention, training participation awareness, and the competence of training instructors as the main factors affecting training quality. 65.71% of the respondents identified holistic thinking ability, 62.86% noted innovation capability, and 44.29% pointed out decision-making skills as the most needed training content.

The main factors affecting the quality of management ability training for hospital administrative staff are the relevance of training content and employees’ willingness to participate in training. The ability that needs the most training is communication skills, while the greatest demand is for knowledge about the hospital’s development history and culture. The optimal format is monthly offline lectures lasting 1-2 hours.

To assess the body mass index (BMI), percentage of body fat (PBF), and bone age of school-age children in Xuzhou city, and to explore the relationship between BMI, PBF, and bone age, so as to provide reference for promoting the health of children.

A cluster sampling method was used to select 601 students of grade three from three schools in Xuzhou from July to August 2023, questionnaire surveys and physical examinations were used to collect children’s data, and disordered multi-classification logistic regression analysis was used to explore the association between different types of BMI or PBF and bone age development.

The rates for thinness, overweight, and obesity in boys were 14.2%, 11.1%, and 19.2% respectively, in girls were 17.6%, 9.3%, and 14.0%, respectively; Multivariate logistic regression showed that after adjusting for covariates such as gender, development of secondary sexual characteristics, average monthly household income, birth weight, father’s height, and mother’s height, the risk of early bone age development was significantly increased in both the BMI obese and overweight groups compared to the BMI normal group (OR=10.10, 95%CI:4.83-21.12; OR=3.78, 95%CI:1.53-9.33); The PBF high body fat group had a significantly increased risk of early bone age development compared to the PBF normal group (OR=3.79, 95%CI:2.01-7.13); BMI obese and PBF high body fat groups are protective factors for delayed bone age development (OR=0.40, 95%CI: 0.20-0.78; OR=0.52, 95%CI:0.31-0.87).

Overweight and obese children are prone to premature bone age. It is recommended to regularly monitor weight, bone age and body composition while preventing and controlling overweight and obesity in children.

To explore the status quo of breastfeeding social support in puerpera and analyze its influencing factors.

A total of 535 puerpera were selected from 4 community health service centers in Chengde city by complete random cluster sampling method.The random forest model and LASSO regression were used to rank and screen the influencing factors.

The total score of the Breastfeeding Social Support Scale was 52.00 (9.00). The results of LASSO regression showed that when the lambda(λ) value was 0.117 7, the error was the smallest, and the corresponding number of influencing factors was 10.The importance ranking and multiple regression analysis showed that the main influencing factors of breastfeeding social support were community promotion of breastfeeding, whether returning to work or not, employment status, whether breastfeeding at night or not, feeding patterns (P<0.05).

The level of breastfeeding social support remains to be improved,and health care providers should develop targeted intervention according to the influencing factors.

To explore the longitudinal relationship between sleep condition and physical & mental health among Chinese adults and to provide a basis for improving sleep condition and preventing related chronic diseases.

Based on China Family Panel Studies data, sleep condition index was constructed using self-reported sleep time, quality and daytime function. Physiological health was measured using self-rated health, chronic diseases, physical discomfort and BMI values. Mental health was measured using the Center for Epidemiological Studies Depression Scale. 15 187 adults in three periods (T0: 2016, T1: 2018, T2: 2020) were involved. Trend tests, Cross-lagged path models and robustness tests were used in this study.

There was a significant downward trend in the sleep time among Chinese adults (Z=-19.609, P<0.001). The rate of insufficient sleep showed a clear upward trend (Z=-11.542, P<0.001). Sleep quality (Z=8.594, P<0.001) and daytime function (Z=11.045, P<0.001) showed significant deterioration trends. Correlation analysis results showed that sleep condition at three time points was positively correlated with physical health (P<0.001) and mental health (P<0.001). Cross-lagged analysis results showed that T0 and T1 sleep condition positively predicted T1 and T2 physical health [β=0.108(95%CI:0.093-0.122), β=0.078(95%CI:0.063-0.092)] and mental health [β=0.113(95%CI:0.096-0.126), β=0.095(95%CI:0.105-0.136)], T0 and T1 physical health [β=0.111(95%CI:0.096-0.129), β=0.121(95%CI:0.078-0.111)] and mental health [β=0.132(95%CI:0.116-0.149), β=0.139 (95%CI:0.122-0.156)] each positively predicted T1 and T2 sleep condition. The cross-lagged analysis results were robust in subgroups.

There has been a significant and concerning decline in the sleep condition among Chinese adults. There is a bidirectional predictive relationship between sleep condition and physical & mental health across time points.

To explore the mediating effect of depression between life self-care ability and frailty.

Based on data from the China Health and Retirement Longitudinal Study (CHARLS), Pearson correlation analysis, linear regression model and Bootstrap repeated sampling method were used to analyse the relationships and mediating effects between activity of daily living, depression and frailty.

A total of 1 554 middle-aged and elderly people aged 45 years or older were included. The prevalence of debility was 14.1%, with a self-care score of 5.9±0.4 and a depression score of 9.4±6.0. Activity of daily living was significantly negatively correlated with depression and frailty (r=-0.14, r=-0.23, both P<0.001), and depression and frailty were positively correlated (r=0.34, P< 0.001). Activity of daily living (β=-0.164, P<0.001) and depression (β=0.013, P< 0.001) were influences on frailty, and depression partially mediated the relationship between activity of daily living and frailty, with a mediating effect of 12.17%.

Depression reduces the ameliorative effect of self-care ability on debility.

To investigate the relationship of sleep duration and sleep quality with depression in young and middle-aged people in Tibet.

From May 2018 to August 2019, people aged 30 and above in Chengguan District of Lhasa City were selected by random cluster sampling method for questionnaire survey, and the independent and combined effects between sleep and depression was analyzed by multifactor logistic regression model.

A total of 5 510 young and middle-aged people aged 30-59 years old were included in the study. The age was (44.7 ± 8.5) years old, and 1.9% of them were defined with depression. Multivariate logistic regression models showed that shorter sleep duration and poor sleep quality were risk factors for depression in young and middle-aged people after adjusting for confounding factors. Compared with 8 hours of sleep duration daily, the OR (95% CI) of depression for those with sleep duration ≤ 6h and 7h were 3.51 (1.91-6.44) and 1.89 (1.06-3.37), respectively. The OR (95% CI) of depression was 2.24 (1.46-3.46) in the poor sleep quality group compared with those with good sleep quality. Subgroup analysis showed that male with sleep duration ≤6 h and female with sleep duration ≤7h were risk factors for depression. The association of sleep quality with depression was statistically significant in different gender groups. The combined effects of sleep duration and sleep quality were associated with depression, and sleep duration ≤6 h and poor sleep quality had the strongest association with depression (OR=7.43, 95%CI: 3.50-15.75).

Shorter sleep duration (≤7h) and poor sleep quality are associated with depression in young and middle-aged people at high altitude, and there is a combined effect. There are gender differences in the association of sleep duration with depression.

To analyze the changes and influencing factors of female health literacy level in Nanchang, and to provide reference for intervention in female health literacy.

Based on the health literacy monitoring of residents in Nanchang from 2018 to 2023, analyze the data of 10 034 women in the effective sample. Conduct inter-group difference comparisons and influencing factor analyses on the health literacy levels of women with different characteristics by using the χ² test and Logistic regression model. And analyze the changes in the health literacy of women in Nanchang City using the χ² trend test.

From 2018 to 2023, the level of female health literacy in Nanchang showed rising year by year, increased from 17.87% to 30.80%. Health knowledge and concept as well as safety and first aid ranked first in three aspects and six dimensions of health literacy. The factors affecting female health literacy in Nanchang included regions, age, education, occupation and marriage. The health literacy level of urban women was 1.249 times higher than that of rural women (OR=1.249, 95%CI: 0.934-1.669; The health literacy level of women aged 35-44 was 93.5% higher than that of women aged 15-24; The health literacy level of women with junior college and above (OR=15.851, 95% CI: 12.525-20.060) was 15.851 times higher than that of women with primary school and below; The health literacy level of female civil servants/teachers and other employees of public institutions (OR=0.373, 95%CI: 0.252-0.553) and female farmers (OR=0.368, 95%CI: 0.231-0.585) were significantly lower than female medical staff; Unmarried women had a higher level of health literacy than married women by 45.5% (OR=0.545, 95%CI: 0.332-0.896).

The level of female health literacy in Nanchang has been improved. In the future, infectious and chronic disease prevention and basic medical literacy should be the key content. Focusing on key population such as women of farmers, the elderly, lower education level and low-income, targeted health education and promotion activities will be innovatively carried out to popularize healthy lifestyles and skills.

To explore the excess hospitalization and structural change in hospitalization costs of acute respiratory infections (novel coronavirus infection excluded) in Yantian, Shenzhen, as the changing epidemiological patterns of respiratory infections. To provide information for the development of evidence-based public health policies and the burden of disease control measures.

Adjusted Serfling regression models were used to estimate the excess hospitalization and degree of structural change and grey correlation analysis was employed to analyze the change in structure of hospitalization costs and the association of items, based on the data from the regional health information platform in Yantian District from 2020 to 2023.

In 2023, there were 1 698 excess hospitalization cases of acute respiratory infection, with an excess rate of 170.82%, accounting for 63.08% of the total number of hospitalizations. An increase in the number of viral and mycoplasma infections may be the reason for the excess hospitalization. There was a change in the structure of hospitalization costs, with the diagnostic category having the greatest value, contribution, and association with the structural change in costs.

There was a high excess hospitalization for acute respiratory infections and structural change in hospitalization costs was observed in 2023. Surveillance systems should be continuously improved to capture abnormal epidemics or excess hospitalizations to provide evidence for medical resource preparation and allocation. Clinical pathway management should be continuously strengthened to reduce the medical cost of patients.

To use neural networks and optimization algorithms, establish an obesity level prediction model to assess obesity risk.

Perform correlation analysis on 2 111 recorded data collected from participants aged between 14 and 61 years old in Mexico, Peru, and Colombia, and establish a BP neural network obesity level prediction model. At the same time, optimize the number of hidden nodes and transfer function of the model through pruning to find the optimal network structure. In addition, the genetic algorithm and the simulated annealing algorithm were used to optimize the weights and thresholds of the model, ultimately establishing a high-precision and practical GASA-BP neural network obesity level prediction model.

The R² of the prediction model was 0.975 1, and the MAE was 0.352, indicating high prediction accuracy and strong practicality. In the process of predicting obesity levels in the model, weight index was the most important, with a correlation of 0.913 with obesity levels. The correlation between overweight members in the family was also relatively strong, with a correlation of 0.505.

The GASA-BP neural network prediction model performs better than other models in predicting obesity levels, and can make the most accurate prediction of obesity levels, providing guidance and reference for personalized obesity assessments and subsequent prevention and control measures.

To analyze the monitoring data of rural drinking water quality and water supply project information in Gansu Province, and to provide a basis for the guarantee of rural drinking water health security.

Based on the water quality monitoring data of rural centralized water supply project in Gansu Province from 2018 to 2023, the water quality index evaluation method was used to compare the differences in water quality, and the chi-square test was used to compare the status of water supply projects in each year.

The results showed that the automatic monitoring system, the proportion of purification and disinfection facilities, and the comprehensive index of water quality in rural centralized water supply project in Gansu Province were improved, and the differences between each year were statistically significant (P<0.05). In the single monitoring index, the total standard rate of total coliforms in microbial index increased from 68.66% to 90.95% from 2018 to 2023, and the turbidity qualified rate in sensory index increased from 92.26% to 98.65%.

The rural drinking water supply situation in Gansu from 2018 to 2023 was improved, and the water quality was on the rise. It is necessary to continue to promote the scale and standardization construction of water supply project to ensure the health safety of drinking water.