To show that the current situation and influencing factors of loneliness in the elderly under different chronic diseases, and propose targeted solutions.

This survey adopted the convenience sampling method, selecting elderly people from five communities in Harbin for physical examinations and distributing questionnaires to conduct statistical analysis of the survey data.

The loneliness scores of the elderly without chronic diseases, single chronic diseases and multiple chronic diseases were (42.83±9.08), (44.46±9.14) and (46.21±8.66), respectively. Age, education level, marital status, per capita monthly income of households, residence status, social support, and death anxiety were the common factors affecting loneliness in the three types of elderly (P<0.05). In terms of elderly people with multiple chronic diseases, those who worked as civil servants (95%CI:-11.515--3.602), employees of enterprises/institutions (95%CI: -6.117--2.443), and farmers(95%CI: -7.485--0.909) before retirement had lower levels of loneliness(P<0.05).

Elderly people with chronic diseases have a higher sense of loneliness and need to pay more attention to their mental health. It is necessary to reduce the level of loneliness by improving the level of social support, reducing death anxiety, improving social welfare and medical policies, reducing the financial burden, and improving family relations.

To analyze the incidence trend of viral hepatitis C (HCV) in China from 2006 to 2020, and to explore the influence of age, period and birth cohort on the incidence of HCV.

The data of hepatitis C cases and demographic data were collected in China from 2006 to 2020. The Joinpoint regression model was applied to analyze the trend of the incidence of hepatitis C in the whole population and by age group. The age-period-cohort model was applied to explore the effects of age, period and birth cohort on the incidence.

The incidence of hepatitis C increased from 2006 to 2020, and the average incidence was 12.82 per 100 000. Unlike other age groups, the incidence of hepatitis C in people age group 60 and above still showed an upward trend from 2010 to 2018 (APC=3.40). The time of onset effect of hepatitis C increased from 0.63 (95%CI: 0.77-0.70) during 2006-2010 to 0.92 (95%CI: 0.84-1.00) during 2016 to 2020. The birth cohort effect was lowest in the 1926-1930 cohort and peaked in the 1991-1995 cohort (RR=1.41, 95%CI: 1.01-1.97).

The incidence of hepatitis C increased during the study period, and the disease burden increased with age. High-risk groups should be regularly screened and monitored.

To analyze the epidemiological characteristics, spatial clustering, and influencing factors of tuberculosis recurrence in Kashgar within three years after successful treatment to provide a scientific basis for tuberculosis recurrence management.

Taking the tuberculosis patients successfully treated in Kashgar from 2013 to 2020 as the research object, we observed the recurrence epidemic characteristics, conducted spatial analysis to understand the recurrence clustering, and used the Cox regression model to explore the influencing factors.

Among the 104 899 objects,14 180 experienced recurrences within three years, with a cumulative recurrence rate of 13.52%. Spatial analysis showed a positive spatial correlation of tuberculosis recurrence, with recurrence hotspots mainly concentrated in Shache, Yingjisha, and Bachu counties. The Cox model showed that male (aHR=1.155, 95%CI: 1.118-1.195), Uyghur (aHR=2.186, 95%CI: 1.786-2.681), 45-<60 age groups (aHR=1.631, 95%CI: 1.061-2.507) and ≥60 age groups (aHR=1.782, 95%CI: 1.160-2.738), farmers and herdsmen (aHR=1.104, 95%CI: 1.039-1.173), re-treatment (aHR=1.086, 95%CI: 1.036-1.138), positive aetiology result (aHR=1.377, 95%CI: 1.324-1.432), positive sputum smear after two months of treatment (aHR=1.699, 95%CI: 1.501-1.924), total delay ≥30 days (aHR=1.129, 95%CI: 1.088-1.171) and living in hotspots (aHR=1.470, 95%CI: 1.413-1.530) were independent risk factors for recurrence after successful treatment.

Priority should be given to improving the monitoring and management of patients in hotspot regions and those at high risk of relapse after treatment to ensure early detection of TB relapse and standardized care.

To investigate the correlation between UHR and CKD in middle-aged and elderly population.

The data of this study was obtained from 2015 China Health and Retirement Longitudinal Survey(CHARLS).A total of 9 204 people≥45 years old were included.Multivariate Logistics regression analysis was used to analyze the correlation between UHR and CKD.The receiver operating characteristic(ROC)curves was used to analyze the predictive value of UHR for the risk of CKD.

The subjects who we included have the mean age of 60.78±9.32 years with the prevalence of CKD of 3.97%.The odd rations for the highest quartile group (Q₄ group)of UHR was increased for CKD(OR=12.01, 95%CI:7.50-20.00).ROC curve analysis showed that the area under the ROC Curve(AUC) for UHR predicting CKD for middle-aged and elderly population was 0.76(95%CI:0.73-0.78),the AUC for UHR predicting CKD for male group was 0.74(95%CI:0.70-0.77)and the AUC for UHR predicting CKD for female group was 0.77(95%CI:0.73-0.81).

There was a positive correlation between the increased UHR level and risk of CKD among the middle-aged and elderly population in China.UHR might serve as a risk factor and demonstrated good predictive value for CKD in the middle-aged and elderly population in China.

To explore the impact of perceived HIV-related discrimination on antiretroviral therapy (ART) adherence among middle-aged and elderly individuals living with HIV/AIDS and the modifying effect of social support, so as to provide guidance for improving ART treatment success rates.

By using cluster random sampling method, a questionnaire survey was conducted among middle-aged and elderly HIV/AIDS patients in the city of Mianyang. The survey assessed their sociodemographic characteristics, social support, perceived discrimination, and treatment adherence. Logistic regression models were used to analyze the relationship between these factors and ART adherence.

The study included 401 middle-aged and elderly HIV/AIDS patients receiving ART. Good adherence was observed in 69.82% of participants, while 30.18% had poor adherence. Univariate analysis revealed that patients with effective viral suppression (viral load ≤20) demonstrated better adherence compared to treatment failure patients (viral load >20). Adherence was also higher among those following single or dual antiretroviral drug regimens. Logistic regression results indicated that fear of disclosure (OR=1.116, 95% CI: 1.023–1.217), public discrimination (OR=1.105, 95% CI: 1.008–1.211), and internal shame (OR=1.119, 95% CI: 1.022–1.225) significantly influenced treatment adherence. Stratified analysis further revealed that fear of disclosure (OR=1.159, 95% CI: 1.034–1.299), public discrimination (OR=1.128, 95% CI: 1.004–1.267), and internal shame (OR=1.150, 95% CI: 1.021–1.297) were associated with adherence.

Enhancing social support, particularly at the individual and family levels, is crucial to mitigate the impact of fear of disclosure, public discrimination, internal shame, and treatment regimens on HIV/AIDS treatment adherence. Public education and support programs should aim to reduce discrimination, strengthen viral load monitoring, and adjust personalized treatment plans promptly.

To understand the utilization of mental health education services and its influencing factors among the elderly floating population in China, and to provide reference for the effective development of mental health education for the elderly.

The data of 5 589 elderly migrants in the 2018 National Floating Population Health and Family Planning Dynamic Monitoring Questionnaire were analyzed, and the Anderson model was used as the theoretical framework, and the main analysis methods included statistical description, χ² test and binary logistic regression analysis.

The utilization rate of mental health education services for the elderly floating population in China was 16.84%, and the methods which wereused were mainly publicity materials, publicity columns, knowledge lectures and public health consultation activities, and the logistic regression results showed that the education level was college degree or above (OR=1.229, 95%CI: 0.901-1.676), the flow range was inter-city in the province (OR=1.219, 95%CI: 1.047-1.593), and the inflow area was Northeast China (OR=1.419, 95%CI: 1.159-1.737), central region (OR=1.980, 95%CI: 1.582-2.478) were the protective factors for the use of mental health education services in the elderly floating population, the migration duration was 10-20 years (OR=0.689, 95%CI: 0.521-0.913), the health records were not established and unknown (OR=0.473, 95%CI: 0.333-0.672), Unclear health record establishment (OR=0.683, 95%CI: 0.473-0.986), uncontracted and uninformed family contracted doctors (OR=0.537, 95%CI: 0.37-0.767), and unclear family doctor contract (OR=0.597, 95%CI: 0.423-0.844) were risk factors for the utilization of mental health education services in the elderly migrant population.

The utilization rate of mental health education services for the elderly floating population needs to be improved, the awareness of mental health of the elderly floating population should be strengthened, the mental health publicity of the elderly floating population should be increased, and the elderly floating population should be guided to actively receive mental health education.

To analyze the epidemiological characteristics of severe acute respiratory syndrome corona virus 2 (referred to as SARS-CoV-2) and influenza viruses in Inner Mongolia Autonomous Region in 2023, and to provide a scientific basis for the prevention and control of acute respiratory infectious diseases in the region.

Collect the ILI surveillance data and nucleic acid detection data of influenza virus and SARS-CoV-2 from the first to 52nd week of 2023 in the whole district and describe and statistically analyze the percentage of ILI among outpatient cases and the epidemiological data of influenza virus and SARS-CoV-2, statistical methods used were χ² test.

A total of 166 307 cases of ILI were reported in sentinel hospitals from weeks 1 to 52 in 2023, and the total number of cases attended was 6 143 210, and the percentage of ILI in the number of cases attending outpatient emergency departments (ILI%) was 2.71%. ILI% was statistically different in different weeks (χ²=35 246.742, P<0.05) and different regions (χ²=71 475.341, P<0.05)were statistically different. A total of 25 680 ILI specimens were collected in the sentinel hospitals, and the nucleic acid positivity rate of SARS-CoV-2 was 11.75%, and the positivity rate was statistically different in different weeks (χ²=2 272.239, P<0.05), different age groups (χ²=1 012.19, P<0.05), different regions (χ²=114.624, P<0.05), and different genders (χ²=26.464, P<0.05) were statistically different. Influenza virus nucleic acid positivity rate was 12.77%, and the positivity rate was statistically different in different weeks (χ²=9 606.493, P<0.05), different age groups (χ²=717.307, P<0.05), and different regions (χ²=41.406, P<0.05).

COVID-19 infection and influenza are alternately prevalent in Inner Mongolia Autonomous Region from week 1 to 52 in 2023, and continuous monitoring of SARS-CoV-2 and influenza virus is needed to obtain more monitoring data to provide scientific data support for effective prevention and control of acute respiratory infectious diseases.

To investigate the causal relationship between immune cell mediated liposomes and non-small cell lung cancer (NSCLC) using two-sample Mendelian randomization and two-step analysis.

Summary data of GWAS for plasma liposomes were obtained from the GWAS Catalog as exposure data. Summary data of GWAS for 731 types of immune cells were selected as potential mediators, and NSCLC data from the ninth release of the FinnGen database were used as outcome data. Inverse-variance weighted (IVW) was used for two-step. Two-sample Mendelian randomization analysis was used to investigate the causal relationship between liposomes and NSCLC and the mediating role of immune cells in the lipid-NSCLC association. Weighted median and MR-Egger methods were used as supplements, along with pleiotropy and heterogeneity tests to ensure result stability.

The IVW method identified 36 liposomes associated with NSCLC, with no evidence of reverse causation. A total of 47 immune cell types were strongly associated with NSCLC. Notably, triglyceride (TG) (58:8) had a causal effect on NSCLC (OR=1.183, 95%CI: 1.061-1.319). The mediation effect mediated by Effector Memory CD8+ T cell %CD8+ T cell was 0.003 (95%CI: -0.007-0.013), accounting for 1.94% of the total effect, while the mediation effect mediated by CD8+ and CD8dim T cell %leukocyte was 0.012 (95%CI: -0.004-0.028), accounting for 7.24% of the total effect.

This study suggests a causal relationship between liposomes and NSCLC, identifying TG as a risk factor for NSCLC progression. Effector Memory CD8+ T cell %CD8+ T cell and CD8+ CD8dim T cell %leukocyte play a mediating role in this process.

To analyze the quality of life (QOL) and its related factors among residents, and to explore the contribution of each factors to QOL by Shapley method, so as to provide references for health policy making.

Questionnaire survey was conducted in 5 cities of Hubei Province from July to August 2021 by stratified random sampling to measure the QOL of 1 387 residents according to SF-12 scale, multivariate regression model and Shapley decomposition method were applied to analyze the influencing factors and its contribution to QOL.

The scores of residents’ physical component summary (PCS) and mental component summary (MCS) were 71.04±17.43 and 75.70±12.51 respectively. Age≥60 (β=-6.073), employment status (retirement (β=-12.752), unemployed (β=-7.292)), annual income (50 000-100 000 Yuan (β=3.516), >100 000 Yuan (β=6.169)), no chronic disease history (β=9.202), and no physical exercise (β=-3.182) had significant effects on PCS (P<0.05), whereas married (β=2.106), employment status (retirement (β=-6.788),unemployed (β=-5.174)), personal annual income >100 000 Yuan (β=3.842), without medical insurance (β=-4.455), no chronic disease history (β=3.450) and no physical exercise (β=-2.056) had significant effects on MCS (P<0.05). Shapley decomposition results showed that employment, chronic medical history and income were the main influencing factors of residents’ quality of life. The variables contributing to PCS were chronic disease history (32%), age (25%), employment status (24%)，income (12%) and weekly exercise (7%). The factors mainly contributing to MCS were employment status (35%), chronic disease history (21%), income (18%), weekly exercise (12%).

The overall quality of life of residents in survey areas of Hubei is good. Employment status, chronic disease history, income and weekly exercise are main influencing factors of residents’ quality of life. Increasing income levels, strengthening chronic disease management, and improving health behaviors may improve residents’ quality of life.