To explore the potential causal relationship between gut microbiota and female infertility using the Mendelian randomization (MR) method and to determine the role of blood metabolites as potential mediators.

Gut microbiota data from 18 340 participants in 24 cohorts published by the MiBioGen Consortium, blood metabolite data from the Canadian Longitudinal Study of Aging (CLSA) cohort and Finnish R10 database on female infertility were used. The inverse variance weighting, weighted median, and MR-Egger regression method were used to investigate the causal relationship between 211 gut microbiota and 1 091 blood metabolites with female infertility. A two-step Mendelian randomization method was used to explore the potential mediating role of blood metabolites between gut microbiota and female infertility.

IVW results showed that 2 phyla, 1 class, 2 orders, 2 families, 12 genera of known gut microbiota were significantly causally associated with the female infertility. Among them, genus Lachnospira (OR=0.589, 95% CI: 0.361-0.961, P=0.035), genus Ruminococcus torques group (OR=0.756, 95% CI: 0.613-0.923, P=0.007), etc. showed a significant negative correlation with female infertility. Order Burkholderiales (OR=1.174, 95% CI: 1.062-1.284, P=0.001), genus Coprococcu2 (OR=1.174, 95% CI: 1.062-1.297, P=0.002), etc. showed a significant positive correlation with female infertility. Mediation analysis revealed that five blood metabolites could mediate the relationship between five gut microbiota and female infertility.

This study indicates that certain blood metabolites can mediate the relationship between gut microbiota and female infertility. Further investigations are warranted to explore the potential mechanisms underlying these associations.

To analyze the status quo and influencing factors of condom use in MSM population, and to provide reference for the formulation of intervention strategies.

From August to October 2022, a questionnaire survey was conducted among 281 MSM in Chengdu, Sichuan Province, including social demographic information, AIDS-related services, behavioral and psychological status. The random forest algorithm was used to reduce and screen the influencing factors of condom use, and then SHAP analysis was used to explain the random forest model after variable screening.

The rate of consistent condom use among MSM in the past 6 months was 65.5 %. When the number of variables after dimensionality reduction was 7, the random forest model had the best performance (AUC: 0.834). The results of SHAP analysis showed that the mean value of the importance of variables and the absolute value of SHAP were the score of condoms use self-efficacy (0.079 0), the score of AIDS-related discrimination (0.051 3), whether there was heterosexual behavior (0.029 9), living conditions (0.011 4), the way to find homosexual partners in the last six months (0.007 8), occupation (0.004 8) and sexual role (0.002 6). MSM who had low condom use self-efficacy scores, high AIDS-related discrimination scores, had heterosexual sex, and had contact with same-sex partners at home had poor condom use adherence, while MSM who lived alone, were students, and had both sex roles had better condom use adherence.

Improving the condom use self-efficacy of MSM, reducing HIV-related discrimination, focusing on and intervening in MSM with heterosexual partners, and MSM who often contact with homosexual partners at home may help to improve the condom use rate of MSM.

To construct and validate a scientific evaluation tool to measure the level of comprehensive competencies such as public health professional competencies, managerial competencies, and basic competencies of public health personnel in northeastern China disease prevention and control agencies.

The literature research method combined with the expert consultation method was used to establish the comprehensive competence question items, collectingdata through the questionnaire survey method for exploratory factor analysis, to complete the construction of the dimensional module of the evaluation tool and the division of its belonging to the measurement items, and to fit the structural model of the measurement tool by using the validation factor analysis. The reliability and validity of the measurement tool should be tested to form a comprehensive competence measurement tool for public health personnel.

A comprehensive competency evaluation index system for public health personnel of disease prevention and control institutions was finally formed, which included 25 items in three dimensions, namely, public health professional competency, management competency, and basic competency. The cumulative variance contribution rate was 70.97%, the model fit index was good (RMSEA=0.058, CFI=0.968, NFI=0.968), the Cronbach α for the scale was 0.864, and Cronbach α for the dimensions was 0.963, 0.961, and 0.959, respectively, with CR values of 0.945, 0.930, and 0.818, which has good reliability and validity.

The three dimensions of the scale constructed in the study objectively and scientifically evaluated the core competence of basic public health service personnel in primary healthcare institutions, providing a reference basis for rationally setting up the corresponding assessment indicators and training contents, and then enhancing the synthesis and competence of CDC public health personnel.

To understand the public’s intention on the scope of granting prescribing rights to public health physicians, to provide reference opinions on the pilot work in progress in China, and to provide scientific basis and support for further exploring the policy formulation and promotion of granting prescribing rights to public health physicians in the province.

Using snowball method to conduct this survey, combined with personal interview method to collect the suggestions of different occupational groups in Sichuan province on the different scope of practice of public health doctors.

A total of 1 706 valid questionnaires were collected in this study. The results showed that 89.45% of the respondents supported giving public health doctors the right to prescribe, 76.85%-83.06% of the respondents suggested that public health doctors’ right to prescribe diseases such as infectious diseases, chronic diseases, occupational diseases, parasites and endemic diseases be completely lifted. 90.97% of the respondents believed that public health doctors should be allowed to prescribe non-drug interventions to patients with chronic diseases and people at risk of chronic diseases.

Based on the existing pilot programme, the subsequent scope of practice of public health physicians’ prescriptive authority should be further improved, and consideration should be given to the gradual trial implementation of prescriptive authority for non-pharmacological interventions, so as to give full play to the functional advantages of public health physicians as prevention-oriented physicians, and at the same time the mechanism for the training, development and assessment of public health physicians should be strengthened, in order to provide the grass-roots level with a high-quality team of public health physicians.

To explore the association between frailty status and RA through trajectory analyses, and to provide a scientific basis for targeted measures to reduce the risk of RA.

Survey data from the 2004-2018 American Health and Retirement Study (HRS) were analyzed for potential categories of frailty using growth mixture models for the three waves of data from 2004-2010. Using 2010 as the baseline, four waves of data from 2010 to 2018 were tracked to analyze the association between different frailty statuses and participants’ RA risk, and Cox proportional risk models were used to describe the associations between different frailty states and the development of RA.

The baseline population totaled 3 677 individuals, including 1 337 (36.4%) males; 2 340 (63.6%) females. Four frailty trajectories were identified through growth mixture modeling, with a high frailty lowering group (10.6%), a persistent high frailty group (20.1%), a persistent low frailty group (34.0%), and a low frailty elevation group (35.3%). Analysis of Cox proportional risk regression modeling showed that, in the fully adjusted model with the low frailty elevation group as the reference, the persistent high frailty group had a 0.255-fold increased risk of developing RA 0.255-fold (HR=1.255, 95% CI: 1.001-1.576), and the risk of developing RA increased 0.422-fold in the high frailty-reduced group (HR=1.422, 95% CI: 1.071-1.888).

Frailty is a risk factor for RA, and the risk of developing RA is increased in the high frailty reduction group and the persistent high frailty group.

To explore the quantitative association and dose-response relationship between systemic immune inflammatory index (SII) and the risk of hypertension among petrochemical workers.

This cohort study included 2 386 occupational workers from a large petrochemical enterprise in southern China. Baseline data were collected in 2018 through occupational health monitoring, and follow-up data were obtained annually through regular physical exams until 2023. The study gathered demographic information, occupational exposure data, blood pressure, blood sugar, blood lipid levels, and SII results via questionnaires, hazard monitoring, physical exams, and laboratory tests. We used multivariate Cox proportional hazard regression models and restricted cubic spline analysis to examine the quantitative association and dose-response relationship between SII and new-onset hypertension. Stratified analyses were performed based on occupational exposure, age, and gender.

During the follow-up period, 645 new cases of hypertension were identified. SII was positively correlated with hypertension risk in a dose-dependent manner. The SII was categorized into three groups (T1, T2, and T3). After adjusting for covariates, the hypertension risk in the T2 and T3 groups was 1.40 (95% CI:1.16-1.70) and 1.30 (95% CI: 1.06-1.58), respectively, compared to the T1 group. The relationship between SII and hypertension risk followed a nonlinear, inverted U-shape: risk increased with higher SII values up to a point, then decreased (P=0.005, nonlinear P=0.007). Subgroup analysis revealed that the patterns observed in workers under 39 years old and male workers were consistent with the overall population. Noise exposure did not affect the association between SII and hypertension risk, but no such association was found among workers exposed to benzene and its homologs.

SII is positively correlated with hypertension risk in petrochemical workers in a dose-dependent manner, exhibiting a nonlinear dose-response relationship. These findings provide a basis for using SII in hypertension risk assessment and prevention strategies in petrochemical workers.

To explore the pathways through which social support influences value co-creation behaviors in older adults, clarify the mediating role of service co-creation literacy, and examine the moderating effect of sense of community.

A random sampling method was employed to select elderly individuals from communities in Changzhi City as research subjects from September to November 2024. Data from 424 community-dwelling elderly individuals were included in the analysis. The data were analyzed using SPSS 24.0, and the PROCESS macro with the bootstrap method was utilized to test mediating and moderating effects.

(1) Social support has a significant direct effect on value co-creation behavior (β=0.114, 95% CI: 0.029-0.199, P=0.009); (2) Service co-creation literacy has a significant partial mediating effect between social support and value co-creation behavior, with a mediating effect size of 0.125(95% CI:0.060-0.189,P<0.001), accounting for 52.3% of the total effect; (3) Sense of community has a moderating effect on the impact of service co-creation literacy on value co-creation behavior (β=0.147,P<0.001).

This study reveals that by constructing a mechanism that emphasizes strengthening the social support system within community health services, cultivating service co-creation literacy among the elderly, and enhancing the sense of community, it is possible to effectively stimulate the elderly population’s participation in value co-creation behaviors in health services.

To explore the factors of depression symptoms in middle-aged and elderly patients with chronic diseases in China and establish a risk prediction model to provide a reference for achieving healthy aging.

Based on data from the fifth waves of the China Health and Retirement Longitudinal Survey, patients with chronic diseases aged ≥ 45 years were included in the study and randomly divided into training and testing sets at a ratio of 7:3. Based on the Health Ecology Model, factors were analyzed by chi-square test and binary logistic regression and a nomogram was constructed. The performance of the risk prediction model was evaluated using the area under the receiver operating characteristic curve, calibration curves, and the Hosmer-Lemeshow test.

The prevalence incidence of depression symptoms among middle-aged and elderly patients with chronic diseases was 49.71%. The results showed that gender, age, number of chronic diseases, BADL status, IADL status in the personal characteristics layer, late sleep duration and whether often bothered by pain in the behavior pattern layer, type of residence and satisfaction with children in the interpersonal network layer, education level and availability of shower facilities in the life and work layer were significantly correlated with depression symptoms among middle-aged and elderly patients with chronic diseases. The AUC values for the training and testing sets of depression symptoms risk prediction model among middle-aged and elderly participants with chronic diseases in China were 0.762 and 0.753, respectively. The calibration curve demonstrated good agreement between predicted and actual probabilities, and the Hosmer-Lemeshow test (P>0.05) confirmed the model’s satisfactory predictive performance.

The prevalence incidence of depression symptoms is relatively high among middle-aged and elderly patients with chronic diseases in China. Improving the quality of life of this population across multiple dimensions is essential for promoting healthy aging.

To analyzing the relationship between dietary quality and depression.

Data from seven consecutive cycles of NHANES dietary data from 2007-2020. Using HEI-2015, AEHI, MDS, PDI, hPDI, uPDI and CDAI to evaluate dietary quality; analyzing the relationship between various dietary indices and depression through multivariate weighted logistic regression, and through Restricted Cubic Spline (RCS) analyzes the nonlinear relationship between dietary indices and depression, and conducts sensitivity analysis to ensure the stability of the results.

A total of 18 490 study participants were included, with a weighted mean age of 46.39±16.38 years. logistic regression results showed that the risk of depression was reduced in the HEI Q4 group compared with the HEI Q1 group (OR=0.786; 95% CI: 0.664-0.929), and in the PDI Q2 group compared with the PDI Q1 group (OR=0.847; 95% CI: 0.750-0.955). no nonlinear relationship was found between HEI, AHEI, MDS, PDI, hPDI and depression, and a nonlinear relationship was shown between uPDI, CDAI and depression.

The quality of meals has a significant impact on the occurrence of depression. Promote high-quality meals and increase the antioxidant capacity of food, which helps to prevent and slow down the occurrence and development of depression.

Based on the life course theory, this study aims to understand the relationship between adverse childhood experiences (ACEs) and body roundness index (BRI) among Chinese older adults, as well as gender heterogeneity, in order to provide scientific evidence for the formulation of obesity prevention and control policies for older adults.

Data from 7 695 participants in the China Health and Retirement Longitudinal Study (CHARLS, 2013-2015) were analyzed. OLS regression and RCS models were used to assess the linear and dose-response relationships, respectively, and examine gender differences.

Of the 7 695 older adults included in the analysis, those who had experienced ACEs exhibited higher BRI compared to those who had not (β₁=0.68, P<0.01;β₂=0.74, P<0.01;β₃=0.78, P<0.01;β₄=0.74, P<0.01). The impact of ACEs on BRI was partially explained by family environment, living conditions, and policy environment, as outlined in the theory of health ecology. The RCS results showed a significant non-linear inverted “J” shaped distribution between ACEs and BRI in the overall population. Gender heterogeneity was observed, with a significant non-linear inverted “U” shaped distribution among males and a significant non-linear relationship among females.

ACEs are significantly linked to BRI in Chinese seniors, with gender differences. This has key implications for policy improvement, emphasizing healthy environments, risk prevention, counseling, and early interventions to reduce future health risks.