To explore the association between blood lipid, lipid ratios and glucose metabolism disorders, and to explore the dose-response relationship between lipid ratios and glucose metabolism disorders.

During July 2022 to March 2023, a total of 7 527 residents aged 35 and above in Changzhou were selected. basic information, blood pressure, fasting plasma glucose and blood lipid of the subjectswere collected. Binary logistic regression was used to explore the correlation between prediabetes, diabetes and blood lipid, lipid ratios, respectively. The dose–response relationship was evaluated by restricted cubic spline analysis. ResultsOur results showed that TC, LDL-C, TC/HDL-C, TG/HDL-C, LDL-C/HDL-C and non-HDL-C/HDL-C were risk factors for both prediabetes and diabetes (P<0.05), and HDL-C was a protective factor for both prediabetes and diabetes (P<0.05). The dose-response relationships between TC/HDL-C, TG/HDL-C, LDL-C/HDL-C, non‐HDL-C/HDL-C and glucose metabolism disorders were statistically significant, and the cutoff values were 3.78, 1.07, 2.10 and 2.77, respectively.

TC/HDL-C, TG/HDL-C, LDL-C/HDL-C and non‐HDL-C /HDL-C increase the risk of prediabetes and diabetes, which may be useful indicators to identify future glucose metabolism disorders.

To explore the association between social isolation, loneliness, and smoking behavior among Chinese older adults.

In this study, data from the 2020 China Health and Retirement Longitudinal Study (CHARLS) were selected and statistically analyzed using Stata 17.0. Binary logistic regression was used to analyze the associations between social isolation, loneliness, and smoking behavior. Multiple interpolation with chained equations was used to fill in missing values and perform sensitivity analyses.

A total of 9 234 older adults aged 60 years and above were included, and the prevalence of social isolation and loneliness was 30.88% and 31.48%, respectively. Multi-model adjustment showed that socially isolated (OR=1.39, 95%CI: 1.23-1.57) older adults were at greater risk of smoking. Subgroup analyses of age and gender showed a greater risk in 65-<75 years (OR=1.25, 95%CI: 1.04-1.50), and men (OR=1.24, 95%CI: 1.07-1.44). No association between loneliness (OR=1.09, 95%CI: 0.95-1.25) and smoking behavior was observed, and the results of sensitivity analyses remained consistent.

In China, the older adults who are socially isolated are more likely to smoke. Therefore a tripartite effort by society, community and family is needed to pay attention to the social contact as well as social participation of older adults, particularly the high-risk groups of social isolation and smoking behaviors, in order to improve the healthy behavior among the older.

To explore the relationship between online sexual harassment experiences and the sexual values of primary and secondary school students, and to provide scientific reference for comprehensive sex education for primary and secondary school students.

The study used a multi-stage stratified cluster sampling method to select 4 051 primary and secondary school students from 9 schools in Fushun County, collecting information on the social demographics, online sexual harassment experiences, sexual values, psychological resilience, and social capital of primary and secondary school students. The study analyzed the impact of online sexual harassment experiences on the sexual values of primary and secondary school students using a multiple linear regression model. The mediating effect of psychological resilience was tested using the Bootstrap method (repeated sampling 5 000 times).

It showed that out of 4 051 primary and secondary school students surveyed, 754 students (18.61%) reported experiencing online sexual harassment. In the regression model, online sexual harassment experiences were negatively associated with scores on sexual violence and safety perceptions (β=-0.50, P<0.05), gender power and social gender perceptions (β=-0.25, P<0.05), and positively associated with scores on sexual and reproductive health perceptions (β=0.31, P<0.05). Psychological resilience played a partial mediating role (β=-0.38, P<0.05), accounting for 46.34% of the mediating effect between online sexual harassment experiences and the sexual values of primary and secondary school students.

Online sexual harassment experiences are negatively associated with the sexual violence and safety perceptions, gender power and social gender perceptions of primary and secondary school students while being positively associated with the sexual and reproductive health perceptions of primary and secondary school students. Improving psychological resilience may help promote the formation of scientific and normative sexual values among primary and secondary school students.

To explore the application of integrated clustering methods in identifying low-grade glioma subtypes and prognostic prediction.

A comprehensive clustering algorithm (MOVICS), which pools ten clustering algorithms, was used to integrate the multi-omics data of LGG patients downloaded from TCGA to obtain cluster subtypes; prognostic factors of LGG were analyzed by multifactorial Cox regression. A random forest classification prediction model was constructed using mRNA data to evaluate the classification performance and externally validated with the CGGA dataset.

LGG patients were clustered into two subtypes, and the difference in survival between the two groups was statistically significant (χ²=54.410, P<0.001). The results of multifactorial Cox regression analysis showed that age (HR=1.053，95%CI: 1.037-1.069), cancer grade (HR=2.733，95%CI: 1.836-4.069) and cluster typing (HR=3.210，95%CI: 2.216-4.650) were all prognostic factors for LGG, and the results of Nomogram plots, calibration curves and ROC curves indicated good predictive performance of the model. The average prediction accuracy of the ten-fold cross-validated RF model was 87.81%, and the C-indexes of the training set, the internal validation set, and the two external validation sets were 0.717, 0.721, 0.574, and 0.572, and the Brier scores were 0.044, 0.066, 0.179, and 0.128, and the differences in the survival of the two external validation datasets were all statistically significance (P<0.05).

The comprehensive clustering method can effectively identify LGG subtypes, which are prognostic factors for LGG patients, and has been validated in an external dataset, CGGA, which can provide an important theoretical basis for clinical personalized treatment of LGG.

To explore the effects of intervention based on planned behavior theory on disease cognition, exercise self-efficacy, and daily living ability in elderly patients with sarcopenia.

Using convenience sampling method, 124 elderly patients with sarcopenia were selected from Lishuiwan Community and Shuxiangyuan Community in Shijiazhuang City as the research subjects. Using the coin toss method, 62 elderly people from Lishuiwan community were included in the intervention group on a residential community basis, while 62 elderly people from Shuxiangyuan community were included in the control group. The intervention group implemented interventions based on the Theory of Planned Behavior, which included five aspects: behavioral attitude, support from important others, perceived behavioral control, behavioral intention, and behavior. The control group maintained their original lifestyle and the intervention duration was 12 weeks. Two groups of patients were evaluated using the Simplified Disease Cognitive Questionnaire, Exercise Self Efficacy Scale, and Daily Living Ability Scale before and 12 weeks after intervention.

Before intervention, there was no statistically significant difference in disease cognition, exercise self-efficacy, and daily living ability scores between the two groups of patients (P>0.05). After intervention, the elderly patients in the intervention group showed improvements in disease cognition, exercise self-efficacy, and daily living ability compared to the control group, with statistically significant differences (P<0.05).

Interventions based on planned behavior theory can improve the disease cognition level, exercise self-efficacy, and daily living ability of elderly patients with sarcopenia.

To identify the influencing factors of stroke in elderly patients with hypertension based on community health survey, and establish a nomogram prediction model according to the influencing factors.

In 2022, the multi-stage sampling method was used to select the residents of Zhengzhou City, Henan province who lived for more than half a year for community health survey, and univariate and multivariate analysis was used to screen the influential factors of elderly hypertension patients complicated with stroke, and a nomogram prediction model was constructed. ROC curve, calibration curve and DCA decision curve are used to verify the accuracy and stability of the nomogram model.

A total of 15 995 elderly patients with hypertension were included in this study. The original data set was randomly divided into a training set and a validation set at 7:3. Model construction: The results of binary logistics analysis of the training set showed that age, gender, waist circumference, blood pressure control, overweight or obesity, exercise, smoking, drinking, balanced diet, dyslipidemia and heart disease were independent influencing factors for stroke. A nomogram model was constructed according to the results of multi-factor analysis. Model validation: the area under the ROC curve of the training set and the verification set is 0.748\0.779 respectively, and the calibration curve is well fitted, indicating that the model has good predictive value.

In this study, we established a nomogram prediction model for elderly hypertensive patients with stroke, including demographic characteristics, health status and lifestyle. The model is accurate and stable, which can help to screen high-risk individuals, provide clinical decision-making and prevention recommendations.

To analyze the association between family functioning and primary school students’ emotion regulation strategies, and to provide a theoretical basis for promoting the development of primary school students’ psychological health.

A random cluster sampling method was used to select 9 868 students from six primary schools in a region of Xinjiang for the study, and questionnaires were administered using the Basic Information Questionnaire, the Family Functioning Scale (FAD), and the Emotion Regulation Questionnaire for Children and Adolescents (ERQ-CA).

The total family functioning score of primary school students was (138.99±17.54), and multiple linear regression analyses showed that total family functioning (β=-1.03), problem-solving (β=-0.10), affective involvement (β=-0.09), communication (β=0.05), affective response (β=0.05), and age (β=0.50) had a predictive role in primary school students’ cognitive reassessment strategy effect (R²=0.101, all P<0.01). Total family functioning (β=0.22), problem-solving scores (β=0.18), emotional involvement scores (β=0.09), roles (β=0.04), and communication (β=-0.03) were predictive of primary schools’ children’s expressive inhibition strategies (R²=0.120, all P<0.05).

Elementary school students’ family functioning is at a moderately low level, and upper primary schools’ students are more inclined to use the emotion regulation strategy of expression inhibition, which can be improved by increasing the level of family functioning in each dimension.

To analyze the influencing factors of bullying and suicide-related behaviors among primary and secondary middle school students in Hubei Province, and to summarize the high-risk groups of bullying and suicide-related behaviors (thoughts/plans/attempts).

A stratified random sampling method was used to select primary, middle, and high school/vocational high school students from 4 counties in Hubei Province for questionnaire survey. Multivariate logistic regression model was used to analyze the influencing factors of bullying and suicide-related behaviors. The interaction between bullying and related variables was by adding interaction terms.

A total of 1618 students were included in the survey. In the past 12 months, 33.9% of them had been bullied, 17.9%, 12.2%, and 7.8% of them had suicidal ideas, plans, and behavior. The RR values of suicide thoughts, plans, and attempts among bullies were 3.03(95%CI：2.24-4.12), 2.21(95%CI：1.57-3.12), and 2.28(95%CI：1.51-3.45). Middle school students, those with poor relationships with their parents, those who are not confident in their appearance, and those whose friends do not care about them are more likely to be bullied. Students who have been bullied, female students, ethnic minorities, and students who have heard of their classmates’ suicide-related behaviors are more likely to engage in suicide-related behaviors.

The main influencing factors of bullying and suicide-related behaviors among primary and middle school students in Hubei Province were summarized, which could provide a reference for future health interventions.

To explore the association between HIV testing frequency and pre - / post-exposure prophylaxis (PrEP/PEP) use among individuals at risk of HIV.

Utilizing a follow-up cohort of men who have sex with men (MSM) conducted in five cities (Nanning, Liuzhou, Guilin, Yulin, and Beihai) in Guangxi Province, China, we employed a group-based trajectory model (GBTM) to analyze the developmental trajectories of HIV testing frequency among MSM. Furthermore, we conducted logistic regression analysis to examine the factors associated with different trajectory groups of HIV testing frequency and their relationship with the utilization of PrEP/PEP before and after HIV exposure.

The analysis included a total of 327 MSM participants, with an average age of 27.722±8.137 years. Based on evaluation criteria such as the Bayesian information criterion, GBTM identified three trajectory groups of HIV testing frequency: low-frequency group (73.87%), medium-frequency group (19.75%), and high-frequency group (6.37%). Comparing to the low-frequency group, MSM in the high-frequency group exhibited higher utilization rates of PrEP (9.49% vs. 55.56%) (χ²=32.02, P<0.001) and PEP (17.39% vs. 44.44%) (χ²=8.19, P<0.017). After controlling for relevant confounding factors, the low-frequency group and medium-frequency group showed of the used PrEP by OR=0.153 (95%CI:0.047-0.501, P=0.002) and OR=0.251 (95%CI:0.070-0.907, P=0.035), respectively, compared to the high-frequency group. Furthermore, regarding the frequency of HIV self-testing in the past year, as HIV testing frequency decreased, there was an increase in the frequency of HIV self-testing in the past year (low-frequency group OR=5.664, 95%CI:1.313-24.428, P=0.020) (medium-frequency group OR=5.087. 95%CI:1.082-23.926, P=0.039).

MSM who engage in higher-risk sexual behaviors are more likely to undergo regular and frequent HIV testing, and they are more proactive in using PrEP/PEP for HIV prevention. Compared with MSM with higher frequency of regular HIV testing, MSM with lower frequency of HIV testing showed higher rates of self-testing.

To conduct a comparative analysis of the research topics on home and international chronic disease management from 2013 to 2023, aiming to provide valuable insights for future studies.

The Chinese databases selected for this study were CNKI, Wanfang Database, and Sinomed, while the English database chosen was Web of Science core dataset. EndNote 20 software was utilized to gather literature on "chronic disease management", and visual analysis was conducted using VOSviewer and CiteSpace software.

A total of 6 621 Chinese articles and 4 096 English articles met the inclusion criteria. Over the course of the decade, there was a consistent upward trend in the number of articles pertaining to home-based chronic disease management both domestically and internationally. According to the co-occurrence cluster analysis, six clusters were identified in China for the management of chronic diseases, including community-based comprehensive disease management, common chronic disease management, self-management of chronic diseases, pharmaceutical care for chronic disease management, health education for chronic disease management, and traditional Chinese medicine-based prevention and treatment of chronic diseases. Abroad, there were also 6 cluster themes identified: Health-care of chronic diseases, Regional trends and management of chronic diseases, The impact of emergencies, Major chronic diseases, Quality of life for patients with chronic diseases, Multiple chronic diseases.

Foreign research is more sensitive to current affairs and frontier hotspots. Domestic research is based on domestic specific forms, which is more in line with the national conditions and has localized characteristics. Chronic disease management in China should continue to deepen the research on basic chronic disease management and chronic diseases in the elderly and other topics that fit the reality, and further develop the prevention and treatment of traditional Chinese medicine to form unique local advantages. At the same time, it keeps up with international research hotspots and supplements scientific research on digital health, mental health, multiple chronic diseases, etc.