To identify potential drug targets related to preeclampsia and explore their public health value in precision prevention based on gene expression–associated genetic variants and Mendelian randomization.

By integrating genome-wide association studies (GWAS) and expression quantitative trait loci (eQTL) data, potential druggable genes for preeclampsia were identified using Summary data-based Mendelian Randomization (SMR), Transcriptome-Wide Association Study (TWAS), and colocalization analysis. Drug annotation and potential side effect assessments were conducted using public drug databases, and Phenome-wide Mendelian Randomisation (MR-PheWAS) was applied to evaluate potential causal associations between the identified genes and 783 disease traits.

Seven potential drug targets were identified: ALDH2, BCAR1, IL27, MUTYH, PABPC1, SULT1A1 and SULT1A2. Among them, IL27 and SULT1A1 showed consistent and significant associations across multiple analyses. ALDH2 and MUTYH were identified as strong candidates with known involvement in oxidative stress and DNA repair pathways. Several genes were linked to existing drugs, suggesting potential for drug repurposing in preeclampsia.

Drug-target Mendelian randomization provides novel insights into the molecular mechanisms of preeclampsia and facilitates the identification of therapeutic targets. The findings offer a promising foundation for early screening, genetic risk stratification, and individualized prevention, contributing to the development of precision public health strategies for pregnancy-related disorders.

To investigate the current distribution status and multimorbidity patterns of chronic diseases among the elderly population in China, and provide reference for formulating chronic disease management measures.

Based on the CHARLS database in 2020, a total of 10,635 elderly individuals aged 60 and above were included to investigate the prevalence trends of 15 common chronic diseases. The actual expected ratio (O/E) and agglomerative hierarchical clustering analysis were employed to explore the patterns of comorbidity.

The prevalence of chronic diseases among elderly people in China was 86.39%, with hypertension (48.49%), arthritis (43.12%), and stomach diseases (excluding tumors or cancer) (32.06%) being the main causes. The multimorbidity rate was 66.30%, and the top three coexisting diseases were "hypertension+arthritis" (22.28%, O/E=1.07), "hypertension+dyslipidemia" (20.25%, O/E=1.44), and "stomach disease+arthritis" (18.65%, O/E=1.35). The top three coexisting diseases were "hypertension+arthritis+dyslipidemia" (10.31%, O/E=1.70), "hypertension + dyslipidemia + heart disease" (9.70%, O/E=2.65), and "arthritis + stomach disease + hypertension" (9.49%, O/E=1.42). Agglomeration hierarchical cluster analysis was divided into clusters according to malignant tumors, emotional and mental diseases, " stroke + memory related diseases + Parkinson’s disease", "dyslipidemia + diabetes + hypertension + heart disease", "chronic lung disease + asthma + stomach disease + arthritis + liver disease +kidney disease", forming a multimorbidity model.

The overall prevalence of chronic diseases among elderly people in China is increasing year by year, and there is a clustering trend.

To explore the differences in the status of co-morbid combinations and health-related quality of life between urban and rural middle-aged and elderly people, and to provide a reference for improving the health of middle-aged and elderly people with co-morbid combinations of chronic diseases.

A total of 6 481 middle-aged and elderly people aged ≥50 years with at least two chronic diseases in China Healthy Aging and Reproductive Lifestyle Survey (CHARLS) 2020 were selected. The basic characteristics of urban and rural chronic disease co-morbid middle-aged and elderly people were described, the health-related quality of life was evaluated using the health utility value of EQ-5D-3L, and the combination of urban and rural chronic disease co-morbid combinations was analyzed using the association network diagram and Apriori association rule.

The health utility value of the elderly in urban chronic disease co-morbidities was 0.8532±0.2400, which was higher than that of the elderly in rural chronic disease co-morbidities (0.8409±0.1952). The top five urban strong link chronic disease co-morbidity combination weights were: hypertension+dyslipidemia; hypertension+heart disease; hypertension+arthritis; gastric disease+arthritis; dyslipidemia+heart disease. In rural areas, there were: gastric disease+arthritis; hypertension+arthritis; hypertension+dyslipidemia; and hypertension+gastric disease. Chronic disease co-morbidities in rural middle-aged and elderly people produced 105 association rules and 86 association rules in urban. Among the top 10 association rules in terms of strength of association rules, there were 9 association rules for hypertension and 1 association rule for chronic lung disease in the rural posterior, while there were 6 association rules for hypertension, 3 association rules for dyslipidemia and 1 association rule for chronic lung disease in the urban posterior.

Health related quality of life of elderly people with chronic disease co-morbidities was higher in urban than in rural areas, with emphasis on pain management and depression and anxiety management in elderly people with chronic disease co-morbidities. There are differences in the combination of chronic disease co-morbidities in urban and rural areas, and the binary, ternary, and quaternary co-morbidity associations between common chronic disease illnesses are high, and hypertension and other chronic diseases and co-morbidities are the highest, and attention should be paid to preventive treatment of hypertension.

To investigate the daily dietary nutrient intake and energy expenditure of university students in Sichuan, in order to understand the levels of dietary nutrient intake and physical activity among college students. To evaluate the adequacy of the students’ nutritional requirements by analyzing the intake and energy contribution of the three major macronutrients, as well as the daily energy expenditure and its composition from physical activities.

A convenient sample of 200 college students in a university of Sichuan were included in the study. Body mass index (BMI) and body fat ratio (BFR) were measured using a body composition analyzer. A three-day 24-hour dietary recall method was used to investigate dietary intake, while the Bouchard Physical Activity Diary and triaxial accelerometer AntiGraph wGT3X-BT were used to investigate subjects’ physical activity and energy expenditure.

The median daily energy intake was 2 237 kcal/d for male students and 1 620 kcal/d for female students. The median daily macronutrient intakes for males were: protein 81 g/d, fat 72 g/d, and carbohydrate 295 g/d,and for females: protein 65 g/d, fat 58 g/d, and carbohydrate 210 g/d. The macronutrient energy ratios were 53∶15∶32 for both genders. The median daily energy expenditure was 473 kcal/d for males and 309 kcal/d for females.

Male college students’ daily energy intake and expenditure are significantly higher than females. College students generally show issues of relatively insufficient energy intake, high fat intake, relatively low carbohydrate intake, and insufficient moderate to high-intensity exercise. College students generally lack moderate-to-vigorous physical activity. Students should be encouraged to actively participate in physical activities to promote balanced diets and a healthy lifestyle.

To analyze the trends and characteristics of the number of patients, prevalence, incidence, disability-adjusted life years (DALY), and years lived with disability (YLD) of depressive disorders among the Chinese population from 1990 to 2021, with the hope of providing a theoretical basis for early prevention, intervention, and clinical decision-making regarding depressive disorders.

Depressive disorders data from the GBD 2021 database (Global Burden of Disease Study 2021 Data Resources) were extracted to analyze the number of patients, incidence, prevalence, DALY and YLD in the Chinese population. The software STATA 14.0 and Joinpoint Regression Program 4.8.0.1 were utilized to analyze the incidence, prevalence, DALY, and YLD of depressive disorders across different genders and age groups. Furthermore, the average annual percent change (AAPC) in depressive disorders was calculated.

In 2021, there were 42.3602 million new cases of depressive disorders in China, an increase of 38.9% from 30.4910 million in 1990. The number of patients was 53.1147 million, an increase of 54.0% from 34.4794 million in 1990. Both the standardized incidence and prevalence showed a slow downward trend (the AAPC was -0.57% and -0.44%, respectively, P<0.001). The incidence of depressive disorders in people aged 10 to 24 showed a sudden increase in different years, and the incidence of depressive disorders in people over 65 also showed an accelerating upward trend. The DALY in 1990 and 2021 were 5.4267 million and 7.8659 million person-years, respectively, with a cumulative increase of 44.9%. The DALY rate increased from 461.27 /100 000 to 552.87 /100 000, with an increase of 19.8%. The standardized DALY and YLD rates decreased slowly with each year (the AAPC was -0.53% and -0.53%, respectively, P<0.001).

Depressive disorder is still one of the main causes of global disease burden and a major public health issue facing our country. There is an urgent need to actively explore and implement effective prevention and treatment strategies to reduce the disease burden of depressive disorders.

To explore the impact of the triglyceride-glucose index (TyG) and obesity indicators on the risk of non-alcoholic fatty liver disease (NAFLD) among participants aged ≥60 years, so as to provide evidence for the early prevention of NAFLD.

A stratified random cluster sampling method was used to select 95 932 elderly individuals in 2022 in Nanjing. These individuals underwent questionnaires, physical examinations, and laboratory tests. A logistic regression model was used to analyze the effects of the TyG and multiple obesity indicators on the risk of NAFLD, followed by the interaction analysis between TyG and each obesity indicator. The diagnostic value of the TyG and its combination with obesity indicators was assessed using receiver operating characteristic curves.

In the study, the prevalence of NAFLD was 39.66%. After adjusting for confounding factors, logistic regression analysis showed that as the increase of TyG and obesity indicators, including BMI, Chinese visceral adiposity index, and lipid accumulation product, the risk of NAFLD in the elderly increased, with odds ratios of 1.86 (1.80-1.93), 3.69 (3.57-3.80), 3.66 (3.54-3.79), and 3.28 (3.17-3.39), respectively (P<0.001). Interaction analysis revealed that compared to low levels of both the TyG and obesity indicator, one variable at a high level or both at high levels increased the risk of NAFLD, indicating a synergistic effect. The diagnostic ability of the TyG combined with obesity indicators for NAFLD risk was higher than that of the TyG alone.

The risk of NAFLD in individuals aged ≥60 years increases with higher levels of the TyG and obesity indicators, and they have a combined effect on NAFLD risk. TyG combined with BMI may be a simple and efficient tool for the early screening of NAFLD in elderly people.

To describe the changes in the burden of depression among Chinese residents from 1990 to 2021 and to forecast future trends, providing reference for the prevention and control of depression.

Based on the 2021 Global Burden of Disease data, indicators such as the number of cases, incidence rate, prevalence rate, and disability-adjusted life years (DALYs) along with DALYs rates were selected to calculate the rate of change. The Join point regression model was employed to calculate the annual percentage change (APC) and average annual percentage change (AAPC) to analyze the trend of disease burden. Future trends were predicted using R software combined with the GM (1,1) model.

In 2021, the total number of depression cases in China was approximately 42.36 million, with an incidence rate of 2 977.354 per 100 000 and a standardized incidence rate of 2 345.079 per 100 000. The total DALYs attributed to depression were 7.8659 million years, with a total DALYs rate of 552.87 per 100 000 and a standardized DALYs rate of 430.61 per 100 000. Compared to 1990, the standardized prevalence rates for the total population, males, and females decreased by 6.39%, 2.4%, and 9.17%, respectively; the standardized incidence rates decreased by 10.79%, 3.96%, and 14.93%; and the standardized DALYs rates decreased by 9.02%, 3.85%, and 12.43%. Join point regression analysis indicated that from 1990 to 1995 and from 2010 to 2015, the standardized incidence rate of depression among the total population in China showed an increasing trend (APC of 1.56% and 1.37%, respectively), while from 1995 to 2000 and 2005 to 2010, it exhibited a decreasing trend (APC of -2.74% and -1.45%,respectively). The standardized prevalence rates from 1990 to 1992, 1992 to 1995, and 2019 to 2021 all showed an upward trend (APC of 1.67%, 0.48%, and 0.96%, respectively), whereas from 1995 to 2000, 2000 to 2005, 2005 to 2010, and 2010 to 2019, they demonstrated a downward trend (APC of -1.06%, -0.22%, -1.02%, and -0.15%, respectively). The standardized DALYs rate increased from 1990 to 1994 (APC of 1.75%) and showed a decreasing trend from 1994 to 2000 and from 2000 to 2006 (APC of-1.55% and -0.46%, respectively).

The burden of depression among Chinese residents is increasing, with a higher burden observed in females. The risk of depression among the elderly should not be overlooked. Continued efforts are needed to enhance public awareness of depression-related health knowledge and implement preventive interventions.

To analyze the reasons of late HIV diagnosis in Chengdu, and to provide scientific basis for promoting early detection.

A cross-sectional survey was used, and the questionnaires were conducted among HIV/AIDS cases in 9 districts in Chengdu. The socio-demographic data, AIDS knowledge awareness, health seeking habits, testing behavior and other information were collected. The chi-square test and binary Logistic regression model were used to analyze the influencing factors. In-depth interviews were conducted, and the sample size was determined according to the principle of "information saturation".

A total of 757 HIV/AIDS cases were investigated, of which 258 (34.1%) were found late diagnosis. Multivariate Logistic regression analysis showed that the risk of late diagnosis was higher in age group 30-49 years old (aOR=3.350, 95% CI: 1.725-6.506) and ≥50 years old (aOR=3.913, 95% CI: 1.876-8.161) than 18-29 years old. Passive detection (aOR=2.002, 95% CI: 1.098-3.649) had a higher risk of late diagnosis than active detection. High school education or higher (aOR=0.472, 95% CI: 0.289-0.770) had a lower risk of late diagnosis than middle school education or lower. Among the 258 late diagnosis cases, 218 (84.5%) never had the idea of HIV testing in the past, mainly because they had not heard of AIDS (106 cases/48.6%) and felt that AIDS was far away from them (82 cases/37.6%). Among the 40 cases who had ever considering taking an HIV test, 17 (42.5%) did not take, mainly because they were worried about their privacy being exposed (12 cases/70.6%), worried about what others think during the test process (7 cases/41.2%), and worried about being discriminated against if they tested positive (7 cases/41.2%). In-depth interviews were conducted on 16 patients with late diagnosis. The reasons for late diagnosis mainly included: never heard of AIDS, serious misunderstanding of AIDS cognition, lack of risk perception awareness, and fluke mentality.

In order to effectively reduce the level of late HIV diagnosis, it is necessary to promote high-quality AIDS health education, improve the awareness of AIDS knowledge and risk perception after high risk behaviors, and encourage people with high risk behaviors to take the initiative to receive HIV testing as soon as possible. Building a supportive social environment to avoid giving up active testing for fear of discrimination is also essential.