To explore the effects of tooth loss and denture use on cognitive impairment in the elderly.

Based on the data of China Health and Retirement Longitudinal Study (CHARLS), over 60-year-old elderlies were selected as the research subjects.Logistic regression was conducted to explore the effects of tooth loss, denture use on cognitive impairment in elderly and subgroup analysis, and interaction analysis were performed for gender and social participation.

A total of 4 372 elderly people were enrolled, and the rate of cognitive impairment was 16.20% (709/4 372). Older age, female, rural living, lower education, no spouse, with depressive symptoms, and without social-participation are risk factors for cognitive impairment. Group of non-total tooth loss without dentures (OR=1.382; 95% CI: 1.145-1.669) and group of total tooth loss without dentures (OR=2.074; 95% CI: 1.186-3.627) were associated with an increased risk of cognitive impairment. The results of subgroup analysis showed that the male population with non-total tooth loss and no dentures (OR=1.413; 95% CI: 1.077-1.853), with total tooth loss and no dentures (OR=2.600; 95% CI: 1.263-5.352) was still associated with an increased risk of cognitive impairment, while the female with non-total tooth loss and no dentures (OR=1.363; 95% CI: 1.046-1.776) was significantly associated with an increased risk of cognitive impairment.The non-social-participation-group with non-total tooth loss and no dentures (OR=1.475; 95% CI: 1.123-1.937), with total tooth loss and no dentures (OR=2.720; 95% CI: 1.294-5.715) were associated with an increased risk of cognitive impairment.There was no interaction between tooth loss, denture use, genderand social participation in the incidence of cognitive impairment(P>0.05).

The combination of tooth loss and denture use is an independent influence factor for cognitive impairment. The use of dentures can reduce the adverse effects of tooth loss on cognitive dysfunction, especially for those with partial tooth loss. The elderly should be encouraged to retain natural teeth, restore missing teeth in time. Although there is no interaction between tooth loss, denture use and social participation, older adults are suggested to take part in social activities.

To explore the epidemiological characteristics of human brucellosis in Inner Mongolia from 2021 to 2023 and the spatial variation of meteorological factors affecting its incidence, providing a scientific basis for prevention, control, and public health resource allocation.

The de-identified human brucellosis case data from January 1st, 2021 to December 31st, 2023, were collected from the Inner Mongolia Center for Disease Control and Prevention. Descriptive analysis was used to study three distributions of human brucellosis in Inner Mongolia. A mixed local autoregressive geographical weighted regression model analyzed the monthly spatial autocorrelation and heterogeneity of brucellosis. The model’s fitting effect was compared with spatial autoregressive, geographical weighted regression, and local autoregressive geographical weighted regression models.

From 2021 to 2023, 56,483 cases of brucellosis in Inner Mongolia, with a peak incidence from March to July. The incidence in males was 53.67 per 100,000, significantly higher than in females (χ² = 25.803，P<0.05). Farmers comprised the largest proportion of cases. The highest incidence occurred in people aged 41 to 60 (43.60 per 100,000). Brucellosis incidence in Inner Mongolia showed a positive spatial correlation, with high-incidence areas mainly in the east and west. The Mixed GWR-LSAR model had the best fit. The effects of wind speed, temperature, pressure, and evaporation varied spatially.

Brucellosis in Inner Mongolia exhibited seasonal, demographic, and spatial patterns, with varying meteorological impacts across months and regions. Therefore, prevention and control strategies should be targeted and regional to effectively reduce the risk.

To explore the relationship between the interaction of health literacy and mobile phone dependence and sub-health status of college students, so as to provide evidence-based evidence for improving sub-health status of college students.

Cluster sampling was used to investigate the social demographic characteristics, health literacy, mobile phone dependence and sub-health of college students in Shandong Second Medical University. logistic regression model was used to analyze the correlation between each factor and sub-health status, and the interaction between health literacy and mobile phone dependence and sub-health status was analyzed.

The total detection rates of mobile phone dependence and sub-health were 83.8% (461/550) and 66.7% (367/550), respectively. After adjusting relevant variables, logistic regression analysis found that college students with low health literacy and dependence on mobile phones had the highest risk of sub-health, which was 31.901 times that of college students with high health literacy and no dependence on mobile phones, and the college students without mobile phone dependence and high health literacy were taken as the reference group, and mobile phone dependence and medium and low health literacy had positive synergistic interactions with sub-health, OR values were 5.030 (95% CI: 3.079 - 8.217) and 8.014 (95% CI: 4.404 - 14.583). The calculated relative values of RERI, AP and SI didn’t meet the conditions and cannot indicate the existence of additive interaction.

The interaction between health literacy and mobile phone dependence is associated with sub-health status of college students, which can be used as an evidence-based basis to improve health.

To analyze the changes in mortality and DALYs of cancer attributed to high Body-Mass Index (BMI) from 1990 to 2021 in China, to provide scientific basis for formulating prevention and control strategies for cancer.

Data on mortality and DALY rates attributed to high BMI in China from 1990 to 2021 were extracted from the Global Burden of Disease(GBD) 2021 database. The Joinpoint software was used to analyze the trends of these mortality and DALY rates, while age-period-cohort models were employed to investigate the effects of age, period, and cohort.

Compared with 1990, the standardized mortality rate and DALY of cancer attributed to high BMI in China showed an upward trend in 2021, with increases of 106.62% and 102.27%, respectively, and AAPCs of 2.4% and 2.3%. From 1990 to 2021, the mortality rate and DALY of cancer attributed to high BMI in various age groups in China showed an upward trend, with a significantly faster increase in the 25- and 60-79-year-old age groups. The global changes in the standardized mortality rate of cancer attributed to high BMI among Chinese populations, including men and women, from 1990 to 2019 were 1.92(95% CI: 1.80-2.04), 2.74(95%CI: 2.60-2.88), and 0.94(95% CI: 0.80-1.07), respectively; The global changes in standardized DALY rates were 1.97(95% CI:1.86-2.08), 2.76(95% CI:2.62-2.90), and 1.02(95% CI:0.93-1.11), respectively.

From 1990 to 2021, the burden of cancer attributed to high BMI in China shows an upward trend, with the most rapid growth among males and people aged 60-79 years. Effective strategies for the prevention and control of overweight and obesity should be implemented to reduce the burden of cancer.

To analyze the epidemiological characteristics, influential factors, and the risk of reinfection in patients with hand, foot and mouth disease (HFMD) in Xining, Qinghai, 2008-2023, and to provide scientific evidence for preventing HFMD reinfection in Xining and Qinghai-Tibet plateau regions.

The incidence data of HFMD in Xining from May 1, 2008 to December 31, 2023 were collected from the China Information System for Disease Control and Prevention to establish a database of cases of HFMD reinfection by filtering and organizing. Descriptive epidemiological method was used to describe the epidemiological characteristics of the reinfection cases, and the Kaplan-Meier method was utilized to assess the cumulative hazard probability of HFMD reinfection after initial infection, and Cox proportional hazards regression model was employed to conduct a comprehensive analysis of the risk of HFMD reinfection through both univariate and multivariate perspectives.

A total of 493 HFMD reinfection cases were reported in Xining 2008-2023, the reinfection incidence was 2.67% (493/18 472), and the cumulative risk for the reinfection was 3.00%. 486(98.58%) cases were infected twice, and 7 cases (1.42%) were infected three times. The Kaplan-Meier curve demonstrated that the cumulative risk of reinfection increased sharply within 30 months after the first infection, and with 74.44% of cases reinfected within 30 months. The Cox proportional hazards regression model analysis revealed that the risk of HFMD reinfection was lower in males compared to females (HR=0.822, 95% CI: 0.684-0.988), in children aged ≥3 years compared to those aged <3 years(HR=0.586, 95% CI: 0.445-0.771). The risk of HFMD reinfection was higher in kindergarten children (HR=5.551, 95% CI: 2.278-13.525) and scattered children (HR=6.897, 95% CI: 2.769-17.184) compared to other population groups, and in children residing in urban areas (HR=1.531, 95% CI: 1.222-1.917) compared to those in rural areas.

The reinfection rate of HFMD is relatively high in Xining. People living in urban areas, initially infected with enterovirus 71(EV71), boys under the age of 3, and scattered children have higher risk of HFMD reinfection. Targeted intervention measures ought to be implemented for these high-risk groups in order to effectively mitigate the reinfection incidence of HFMD.

To understand the status and problems of rehabilitation resource allocation in the system of the China Disabled Persons Federation and provide a reference for the rational allocation of rehabilitation resources in the system of the China Disabled Persons Federation.

Based on the health resource density index and rank sum ratio method, the rehabilitation resource allocation status of the disabled person's federation system in 31 provinces (municipalities) in my country in 2022 was comprehensively measured, analyzed, and evaluated.

The regression equation of Probit and RSR was RSR= -0.779+0.255*Probit value (F=1 206.958, P≤0.001), indicating that the regression line equation was statistically significant and representative. According to the optimal grading principle of the rank sum ratio method, the rehabilitation resource allocation status of the disabled person's federation system in my country was divided into three grades, with Probit>6 in 5 provinces and cities such as Shanghai, and a good allocation status; 4<Probit<6 in 22 provinces and cities (autonomous regions) such as Heilongjiang, and a medium allocation status; Probit<4 in 4 provinces and cities (autonomous regions) such as Tibet, and a poor allocation status.

The overall situation of rehabilitation resource allocation in the system of the disabled person's federation is good, but there is still a lack of total amount and differences between the East and West. Optimizing the inter-regional flow mechanism of rehabilitation service resources, improving the diversified pattern of rehabilitation resources in some provinces (cities), and promoting the efficient development of rehabilitation resource allocation are recommended.

To explore the comorbidity patterns and influencing factors of chronic diseases in middle-aged and elderly people in China, so as to provide new ideas for the development of corresponding chronic disease prevention and control strategies and measures.

Using data from the China Health and Retirement Longitudinal Study (CHARLS) 2018, after excluding samples with missing variables for 14 chronic diseases, a final sample of 19,390 individuals aged 45 and older was included. The Apriori algorithm from association rule analysis was utilized to explore the comorbidity patterns among middle-aged and elderly individuals in China. The occurrence of chronic comorbidity (two or more chronic diseases or three or more chronic diseases) was taken as the dependent variable, and the independent variable was determined according to the five dimensions of social determinants of health. 5 696 samples were included after deletion of the missing values, and the influential factors of chronic comorbidity were analyzed by univariate χ² test and multiple logistic regression.

The prevalence of comorbid chronic diseases among middle-aged and elderly individuals in our country was 55.4%. The most common comorbidity patterns were arthritis or rheumatic diseases and hypertension. Association rule analysis identified 24 strong rule combinations, with the most common binary association being gastrointestinal or digestive system diseases with arthritis or rheumatic diseases, and the most common ternary association being gastrointestinal or digestive system diseases, hypertension, and arthritis or rheumatic diseases.The results of the multivariate analysis showed that both two or more chronic diseases and three or more chronic diseases were significantly associated with increased risk factors, including: age 60-80 years (two or more chronic diseases: OR=1.479, 95% CI: 1.244-1.759; three or more chronic diseases: OR=1.526, 95% CI: 1.267-1.839), age >80 years (OR=1.545, 95% CI: 1.144-2.087; OR=1.591, 95% CI: 1.175-2.154), depressive symptoms (OR=1.435, 95% CI: 1.267-1.626; OR=1.382, 95% CI: 1.216-1.570), having a pension (OR=1.350, 95% CI: 1.141-1.598; OR=1.332, 95% CI: 1.118-1.586), and residence in central (OR=1.268, 95% CI: 1.096-1.470; OR=1.269, 95% CI: 1.088-1.479) or western regions (OR=1.217, 95% CI: 1.062-1.395; OR=1.198, 95% CI: 1.038-1.382).Conversely, factors associated with a reduced risk of chronic multimorbidity included alcohol consumption (two or more chronic diseases: OR=0.811, 95% CI: 0.707-0.930; three or more chronic diseases: OR=0.837, 95% CI: 0.724-0.968), 6-8 hours of night sleep (OR=0.806, 95% CI: 0.702-0.926; OR=0.792, 95% CI: 0.688-0.912), more than 8 hours of night sleep (OR=0.738, 95% CI: 0.635-0.858; OR=0.745, 95% CI: 0.637-0.872), self-rated general health (OR=0.357, 95% CI: 0.307-0.414; OR=0.343, 95% CI: 0.299-0.392), and self-rated good health (OR=0.136, 95% CI: 0.114-0.163; OR=0.117, 95% CI: 0.096-0.142).

It is suggested that the prevention and intervention of chronic comorbidity should be multidimensional, and the health care personnel should take into account the comorbidity of patients and the problem of multiple drug use in the formulation of comorbidity treatment plan.

To develop a questionnaire of menstrual health literacy for adolescent women and evaluate its reliability and validity to provide a scientific basis for evaluating the level of adolescent menstrual health literacy.

The initial questionnaire was compiled by combining literature search, semi-structured interview and Delphi expert consultation, and the test questionnaire was formed after revising items through item analysis and exploratory factor analysis.1545 middle and high school students were selected by convenient sampling method to test the reliability and validity of the questionnaire.

The adolescent health literacy questionnaire consisted of 4 primary indicators, 15 secondary indicators, 41 tertiary indicators and 60 measurement questions. Cronbach’s α coefficient of the total questionnaire was 0.890, and the broken half reliability was 0.853, indicating good reliability of the questionnaire.Most of the three indexes of the questionnaire were more than 85% suitable for inclusion, and 95% of the measurement questions had I-CVI value >0.80, indicating good content validity.The results of confirmatory factor analysis showed that the validity of the questionnaire structure was basically acceptable.The questionnaire response validity was measured based on the hypothesis that people with higher knowledge satisfaction and healthier lifestyle had higher questionnaire scores, and the results showed that the questionnaire response validity was good.

The adolescent menstrual health literacy questionnaire developed in this study has good reliability and validity, and can be used to evaluate the level of adolescent female menstrual health literacy.

To study the rifampicin resistance, genotypic characteristics and clustering of Mycobacterium tuberculosis in Ningxia from 2020-2023.

98 strains of Mycobacterium tuberculosis were tested for rifampicin resistance using the GeneXpert MTB/RIF method, and the strains were genotyped by the McSpoligotyping method and analyzed by clustering at the MIRU-VNTRplus website.

The risk of developing rifampicin-resistant TB was significantly increased in retreatment patients (OR=33.22, 95% CI: 3.11-355.43, P<0.05), and TB patients from Zhongwei and Wuzhong cities showed a higher risk of rifampicin resistance (OR=19.42, 95% CI: 1.12-336.75, P<0.05; OR=43.25, 95% CI: 1.76-1062.70, P<0.05). 98 strains of Mycobacterium tuberculosis were typed by McSpoligotyping to present three lineages, with the largest lineage being the Beijing-type 80 strains (81.63%); the non-Beijing-type accounted for 18 strains (18.37%), of which 12 strains were of the T-type (12.24%), 1 strain of the U-type (1.02%), and the newly 5 strains (5.10%) were newly discovered or undefined genotypes. The Beijing type was widely distributed in all cities of Ningxia, with only the Beijing type in Guyuan and Shizuishan, and the T-type and newly discovered or undefined genotypes were mostly found in Zhongwei, Wuzhong and Yinchuan. Cluster analysis showed that the 98 strains were divided into two genetic clusters, Beijing-type and non-Beijing-type, with SIT1 accounting for the largest proportion of Beijing-type in the clusters (75.51%), T1-type in the non-Beijing-type, and the remaining 9 strains (9.18%) were independent scattered genotypes, with a cluster rate of 90.82% (89/98).

Health education has been actively carried out for retreatment patients and high-risk areas in the Ningxia region to improve treatment adherence, and TB screening and drug resistance surveillance has been strengthened in Zhongwei and Wuzhong cities. In addition, Mycobacterium tuberculosis is genetically polymorphic in this region, and Beijing SIT 1 is the main prevalent strain. Strengthening the monitoring of this gene and understanding its mode of transmission is important for controlling the spread of tuberculosis, slowing down the development of drug resistance, and ultimately improving the public health situation in the region.

To explore the association between disulfidptosis related genes (DRGs) and the prognosis of breast cancer patients and establish a risk prognosis model and verify it, and provide new biomarkers for the prognosis of breast cancer patients.

CNV landscape was drawnin R language. DRGs of co-correlations and differences were identified.The risk score prognostic model was constructed by using univariate Cox regression analysis and Lasso-Cox regression analysis. Kaplan-Meier survival curve,ROC curve and calibration curve for the model was drawn.A nomogram prognostic prediction model was constructed by combining the clinical features.

A risk prognostic model of breast cancer patients composed of 8 DRGs was constructed, and AUC of the ROC curve at 1,3, and 5 years was 0.809,0.848,0.883. DCA showed that the model could better predict breast cancer prognosis.

This research department has constructed a risk score model with 8 DRGs, which has a good prognostic value and can provide a new direction for the study of breast cancer prognosis.