To provide a scientific basis for the formulation of effective prevention and control strategies by assessing the risk of dengue fever importation and local transmission in Guangxi from ASEAN countries by 2025.

Relevant information was collected and organized. The risk of dengue case importation from ASEAN countries was calculated using the Poisson distribution. Based on previous studies on local transmission risk assessment indicators for dengue fever, various factors influencing local transmission were assigned values. The local transmission risk was analyzed and evaluated through quantitative indicators, and the severity of local transmission consequences was qualitatively assessed using an expert consultation method.

There were significant regional differences in the risk of dengue cases being imported from ASEAN countries across the 14 prefecture-level cities in Guangxi from January to December. Nanning and Guilin had a year-round risk of “high” or “very high” for external importation;five cities, including Qinzhou, had “medium” or “high” risk; five cities, including Liuzhou, had “low” or “medium” risk; and Hezhou and Laibin had “very low” or “low” risk. If cases were imported, the risk of local transmission in the 14 prefecture-level cities in Guangxi was assessed as “low” for January to March and December; in April, all cities except Baise were “low”, while others were“medium”; from May to October, the risk was “medium”; in November, four cities including Liuzhou were “low”, while the others were “medium”. Based on comprehensive expert consultations, the risk of dengue importation and local transmission in Guangxi’s 14 prefecture-level cities was assessed as “medium” for 2025.

Due to its geographical location and close exchanges with ASEAN countries, Guangxi faces a higher risk of dengue fever importation and local transmission. The 14 prefecture-level cities should develop dengue prevention and control measures based on the characteristics of dengue importation and the dynamic changes in monitoring indicators, tailored to local conditions and timing, to effectively manage dengue outbreaks.

To analyze the causal association between glucosamine and the risk of fracture using the two-sample Mendelian randomization (MR) method.

This study was based on the summary data of genome-wide association studies of glucosamine and fracture in the European population. First, univariate MR analysis was performed using the inverse-variance weighted method,MR-Egger regression method, weighted median method, and MR-PRESSO. Sensitivity analysis was conducted by excluding palindromic instrumental variables, leave-one-out analysis, and reverse MR to verify the robustness of the results. Finally, multivariate MR analysis was used to evaluate the independent effect of glucosamine on fracture occurrence.

The results of the univariate inverse-variance weighted method showed that genetically predicted glucosamine was associated with a reduced risk of fracture (OR=0.94, 95%CI: 0.90-0.99, P=0.015). In addition, the results obtained by the MR-Egger regression method, weighted median method, and MR-PRESSO were consistent with those of the inverse-variance weighted method. Sensitivity analysis further verified the stability of the results. In the multivariate MR analysis, after adjusting for the potential effects of chondroitin, vitamin supplements, and osteoarthritis, the results still supported a negative causal relationship between glucosamine and the risk of fracture (adjusted for chondroitin: OR=0.61, 95%CI: 0.46-0.80, P=4.1×10^-4; adjusted for vitamins: OR=0.87, 95%CI: 0.81-0.93, P=1.1×10^-4;adjusted for osteoarthritis: OR=0.46, 95%CI: 0.29-0.73, P=9.7×10^-4).

Glucosamine can reduce the risk of fracture.

To develop and validate a questionnaire based on the Transtheoretical Model (TTM) for assessing the stages of behavior change in patients with Chronic Obstructive Pulmonary Disease (COPD) (COPD-TTM questionnaire), which can be used to evaluate patients’ behavioral stages and provide a basis for personalized interventions.

A preliminary COPD-TTM questionnaire was constructed through literature review and expert consultation, consisting of five primary dimensions and 15 secondary items. The structural validity was verified by measuring 171 COPD patients, while content validity was assessed through expert ratings. A retest was conducted two weeks later to validate the test-retest reliability.

Five factors were extracted from the 15 items, cumulatively explaining 68.5% of the total variance, with item loadings for each factor not less than 0.65, indicating alignment of the questionnaire items with the expected TTM stages. The CFA results showed a χ²/v value of 1.85, CFI of 0.98, RMSEA of 0.045, and SRMR of 0.05,demonstrating good structural validity of the questionnaire. The S-CVI was 0.93, with all I-CVI values above 0.80, indicating strong content validity. The Cronbach’s α coefficient for the COPD-TTM questionnaire was 0.980, and the test-retest reliability ICC was 0.961(95%CI: 0.935-0.977), suggesting good reliability and validity.

The COPD-TTM questionnaire can be used to assess the stages of behavior change in patients, providing a basis for further development of individualized intervention plans. Future research should focus on a broader range of factors influencing behavior change to optimize personalized interventions.

To investigate whether there are differences in anxiety status and influencing factors between health examination populations undergoing first-time and non-first-time low-dose spiral computed tomography (LDCT).

This retrospective study involved individuals who underwent health examinations at a tertiary health management center from January to December 2023 (including LDCT and anxiety self-assessment scales). Participants were divided into first-time LDCT examination group and non-first-time LDCT examination group based on whether it was their first examination at this hospital. Univariate analysis utilized independent two-sample t-tests or χ² tests. Four models were established for the overall population: Model 1 did not adjust for confounding factors; Model 2 adjusted for age, gender, examination type, occupation, education level, and alcohol history; Model 3 further adjusted for previous history of pulmonary nodules, diabetes, and hypertension; Model 4 included Body Mass Index (BMI) adjustments based on the same variables in Model 3.

A total of 19 892 participants were included in this study, with an overall anxiety detection rate of 12.31%. The anxiety detection rate in the non-first-time LDCT examination group (14.27%) was higher than that in the first-time LDCT examination group (8.9%), with a statistically significant difference (χ²=122.878, P<0.05). After adjusting for the aforementioned confounding factors, the anxiety risk for those undergoing non-first-time LDCT was 1.519 times that of those undergoing first-time LDCT (OR=1.519, 95%CI: 1.374-1.68, P<0.001).

The non-first-time LDCT examination is an independent risk factor for anxiety in health examination populations.

To investigate the causal relationship between gestational diabetes mellitus (GDM) and attention deficit hyperactivity disorder (ADHD) using Mendelian randomization to provide genetic evidence supporting the risk of developing ADHD.

Based on pooled data from genome-wide association analyses, MR analysis was conducted using five methods, including the inverse variance weighting method, MR-Egger regression, and the weighted median method. Sensitivity analyses were performed using the MR-Egger regression test, the MR-PRESSO test, the Cochran Q test, and the leave-one-out method. Two-sample MR analyses and validation group analyses explored the existence of a causal relationship between GDM and ADHD, while multivariate Mendelian randomization examined the direct, independent causal effect of GDM on ADHD after adjusting for factors such as obesity and autism spectrum disorder (ASD).

The two-sample MR preliminary analysis (OR=1.209, 95% CI: 1.023-1.423, P=0.026) and the validation group analysis (OR=1.030, 95% CI: 1.006-1.055, P=0.015) indicated that GDM had a positive causal relationship with the risk of ADHD, suggesting that an increased risk of GDM contributing to a higher risk of ADHD. The results of MVMR analysis showed that GDM and ADHD still showed a causal relationship after controlling for Obesity and ASD (OR=1.030, 95% CI:1.008-1.054, P=0.008).

This study confirms the causal relationships between GDM, obesity, and ASD with ADHD from a genetic perspective, providing a reference for future research.

To explore the changes in the quality of life and its influencing factors of elderly people in rural areas of Sichuan province from 2018 to 2023, and to provide a basis for timely adjustment of health intervention measures.

Data from the sixth and seventh health service surveys in Sichuan province in 2018 and 2023 were summarized, and the EQ-5D questionnaire health utility value and visual analogue scale (VAS) score were used to evaluate quality of life.Survey time interaction items were includedin a weighted two-level random intercept model to explore the differences in the effects of influencing factors.

The utility value of elderly people in rural areas of Sichuan province was 0.83±0.22, and the VAS score was 65.53±17.81, both lower than the national average. Analysis showedthat survey year, individual characteristics, lifestyle, chronic disease prevalence, and family medical factors wereinfluencing factors for utility value and VAS score. In addition, in the utility score, the interaction items of over 80 years old (β=0.046, P<0.001), 1-2 times of weekly exercise (β=-0.035, P=0.045), diabetes (β=0.032, P=0.031), and annual family income of over 50 000 (β=0.029, P=0.048) with time were statistically significant; In VAS score, the interaction between time and age of over 80 years old (β=4.647, P<0.001), primary and junior high school education (β=-3.301, P<0.001), alcohol consumption (β=-2.262, P=0.004), diabetes (β=4.946, P<0.001), hypertension (β=2.992, P<0.001), annual family income of more than 50 000 (β=4.322, P<0.001), physical examination in the past year (β=2.925, P<0.001) had statistical significance.

The quality of life of elderly people in rural areas of Sichuan province is relatively low and requires attention. When formulating health intervention measures, full consideration should be given to the changes in the above factors and effects.

To analyze the spatial and temporal distribution characteristics and changing trends of newly reported HIV / AIDS cases aged 50 years and over in Guizhou Province from 2018 to 2023, and to provide scientific basis for ≥50 years old AIDS prevention and control.

Using the database of the AIDS comprehensive prevention and control data information system, the newly reported cases aged 50 years and over from 2018 to 2023 were screened out, and their demographic characteristics were analyzed. Then use ArcGIS software for spatial autocorrelation analysis.

From 2018 to 2023, the proportion of HIV/AIDS cases aged 50 and above in Guizhou Province increased from 46.91% in 2018 to 56.99% in 2023, and the proportion increased year by year(trend χ²=249.968, P<0.001),and the distribution of local areas was concentrated.The global Moran ’s I was between 0.336 3 and 0.395 0(P<0.001). It showed that there was a global spatial autocorrelation in 2018-2023. SatScan showed six clusters, among which Puding, Xixiu, Zhenning, Liuzhi, Zhijin and Guanling were the most likely to gather (RR=2.990, LLR=1 222.719), which was also highly consistent with the results of spatial autocorrelation analysis.

The newly-discovered HIV / AIDS patients aged 50 and above in Guizhou Province in recent years have spatial clustering, mainly concentrated in the central and western and southern regions of Guizhou Province. It is recommended to strengthen the comprehensive prevention and control of AIDS in areas with high incidence of epidemic, especially to carry out targeted preventive measures in time in areas with a trend of spread.

To evaluate the epidemic intensity of scarlet fever in Xinjiang using the Moving Epidemic Method (MEM), and to provide evidences for the classification of early warning of scarlet fever.

Monitoring data on scarlet fever in Xinjiang from 2014 to 2023 were collected, with the weekly incidence rate serving as the research object. The δ value corresponding to the maximum Youden index was selected to establish the MEM model. The epidemic thresholds for the two epidemic seasons of scarlet fever were estimated separately. The effectiveness of the MEM was evaluated through a cross-validation procedure. The epidemic level of scarlet fever in Xinjiang from 2014 to 2023 was assessed, and predictions were made for the spring epidemic season in 2024.

The optimal δ value for the spring epidemic peak of scarlet fever in Xinjiang was 2.5. The sensitivity of the model fitting was 0.83, the specificity was 0.91, and the Youden index was 0.74. For the autumn epidemic peak model, the optimal δ value was 2.6, with a sensitivity of 0.90, a specificity of 0.93, and a Youden index of 0.83. In the spring of 2024, the epidemic season entered the low-epidemic level in the 13th week and rose to the medium-epidemic level in the 23rd week, after which it maintained the low-epidemic level. By the 28th week, the epidemic level had fallen below the epidemic threshold, and there were no high or very high epidemic levels observed.

For the bimodal epidemic characteristics of scarlet fever in Xinjiang, the MEM model can be used to determine the epidemic intensity thresholds of different epidemic seasons by splitting the epidemic season, which is proved to be feasible. The model can be used to establish a scarlet fever early warning system, which provides a scientific basis for guiding the classification and early warning of scarlet fever.

To investigate the associations between visceral obesity indices and the co-morbidities of hypertension, diabetes mellitus, and dyslipidemia in steel workers.

This study included 7 318 steelworkers, using multivariate logistic regression to analyze the connection between visceral adiposity-related indices and the co-morbidity of "three highs".

A total of 7 318 steel workers were included, with 1 759 diagnosed with all three conditions, accounting for a 24.04% prevalence rate. After adjusting for age and gender, significant correlations were found between LAP, TyG, and their combined indices with various types of co-morbidities (P<0.001). No interactions were observed between age and these indices in the context of co-morbidities (P_interaction>0.05), except for the TyG-WC index in cases of two diseases co-occurring (P_interaction<0.05), and the LAP index, TyG-WHtR index, and LAP-BMI index when all three diseases co-occurred (P_interaction<0.05).

The LAP index, TyG index, and their combined indices are closely associated with the co-morbidities of hypertension, hyperglycemia, and hyperlipidemia in steelworkers.