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.

To explore the mediating effect of quality of sleep and cognitive reserve in the association of depression and cognitive function among the community-dwelling older adults.

A total of 492 community-dwelling elderly in the Pudong New Area of Shanghai were selected by convenience sampling method and investigated with the general information questionnaire, 15-item Geriatric Depression Scale (GDS-15), Pittsburgh Sleep Quality Index(PSQI), Cognitive Reserve Index Questionnaire(CRIq), and Beijing version of the Montreal Cognitive Assessment(MoCA). SPSS 25.0 software was used to explore the mediating role of sleep quality and cognitive reserve.

Pearson’s partial correlation analysis showed the cognitive function of elderly was significantly positively correlated with the cognitive reserve scores (r=0.189,P<0.001), and negatively correlated with the depression scores and sleep quality scores (r=0.179 and -0.362, both P<0.001); depression scores were significantly negatively correlated with cognitive reserve scores (r=-0.152, P<0.01), and significantly positively correlated with sleep quality scores (r=0.185, P<0.001), after adjusting for significant covariates including age, marital status, economic income and BMI, the mediating analysis showed depression had a significantly negative directly effect oncognitive function (β=-0.297, P<0.001); depression also had an indirectly negative effect on cognitive function through the pathways: reducing sleep quality and diminishing cognitive reserve, with medication effect values (β=-0.019, P<0.001) both accounted for 5.69%.

Community-dwelling elderly with depression, sleep disorders, and lower cognitive reserve have poorer cognitive function. Depression may directly affect cognitive function, and may also have indirect effects on cognitive function in elderly by decreasing sleep quality and cognitive reserve.

To investigate the demand for home medical service among cancer patients in Pudong New Area and analyze the main influencing factors.

A convenience sampling method was used, and a self-designed questionnaire was administered to 1 161 cancer patients in Pudong New Area. Single-factor analysis, non-parametric rank sum test, and multiple linear regression model were used to analyze the influencing factors.

18.2% of cancer patients had home medical service demands, with demands across all four dimensions. Among which the demand for health education, social support and rehabilitation guidance was more. Cancer patients’ needs are influenced by factors such as age, education level, economic status, and more (P<0.05). The driving factors include the number of comorbidities (β=0.111, t=3.643, P<0.001), being bedridden (β=0.121, t=4.299, P<0.001), and having a college degree or higher (β=0.071, t=2.416, P=0.016). The inhibiting factors include economic status (β=-0.072, t=-2.057, P=0.04) and daily condition (β=-0.192, t=-5.219, P<0.001).

Home medical services have significant demands among cancer patients. Relevant institutions should combine the characteristics of patient needs, improve service project evaluation, cost payment models, and relevant laws and policies, and strengthen supervision to promote the standardized and sustainable development of home medical services.

To explore the epidemiological characteristics of foodborne disease events in a rural banquet in Sichuan Province from 2004 to 2023, and to provide a scientific basis for the prevention and control of foodborne disease in the rural banquet.

The data of foodborne disease events in a rural banquet in Sichuan Province from 2004 to 2023 were collected from the National Foodborne Disease Outbreaks Surveillance System and National Management Information System of Public Health Emergencies and analyzed by descriptive statistics.

From 2004 to 2023, a total of 189 foodborne disease events in rural banquet were reported in Sichuan Province with 5 971 cases and 22 deaths, and the case fatality rate was 0.37%. The third quarterly was the high incidence period, accounting for 43.39% of the total events. The top three regions with the highest number of reported events were Chengdu (25 events), Luzhou (19 events) and Yibin (18 events). Microbial pathogens were the main pathogenic factors, accounting for 66.67% of the total events. Chemicals were the main causes of death, with 15 and 5 deaths caused by methanol and nitrite, respectively. Meat and meat products were the main causes of foodborne diseases. Improper processing and storage were the main inducing factors.

The targeted health education, supervision, monitoring, and emergency handling should be carried out to effectively prevent and control foodborne disease events in rural banquets.

To understand the obesity, overweight and malnutrition status of primary and secondary school students in Karamay from 2014 to 2021, and to provide basis for targeted interventions on nutritional status of primary and secondary school students.

70 792 autumn physical health monitoring data of primary and secondary school students in Karamay from 2014 to 2021 were collected, and SPSS 22.0 software was used. Chi square tests were used for gender comparisons, and trend chi square tests were used for statistical analysis of age groups and years.

The malnutrition rate of primary and secondary school students in Karamay City decreased from 11.4% in 2014 to 5.7% in 2021 (χ²=1 329.791, P<0.01), and the overweight and obesity rates increased from 14.1% and 8.4% to 17.2% and 14.0% respectively (χ²=687.21 and 725.13, respectively, with P<0.01). From 2014 to 2021, the detection rates of malnutrition (except 2018), overweight and obesity (except 2014) in boys were higher than those in girls (P<0.01).

The malnutrition status of primary and secondary school students in Karamay City has been improved yearly, but the overweight and obesity rates have shown an increasing trend year by year. The bipolar problem of male students’ nutritional status is more prominent than that of female students. Schools and health management departments should carry out targeted interventions and countermeasures.

To analyze the pneumoconiosis mortality change trend, influencing factors and differences between Chinese residents from 2002 to 2021.

Using the Joinpoint model of crude pneumoconiosis mortalityrate and standardized mortalityrate, the annual percentage change (APC) and mean annual percentage change (AAPC) were calculated. The effect of three effects on pneumoconiosis mortality changes was analyzed by the age-period-cohort model.

The urban standardized mortality rate showed an overall downward trend (APC=-0.2%, P>0.05) and increased in rural areas from 2004 to 2021 (APC=7.9%, P<0.001). The age effect showed that both urban and rural pneumoconiosis mortality rate increased with increasing age. The period effect increased with time, and it was different between urban and rural areas, with the risk of urban death decreasing, and the risk of rural death increasing. The cohort effect showed that the risk of death decreased with later birth, and the rural resident birth cohort showed a fluctuating trend.

The increasing effect of age, period and cohort will affect rural pneumoconiosis mortality more than in urban areas.

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 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 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.