To investigate the association between early pregnancy blood routine indicators and fasting blood glucose (FPG) levels with gestational diabetes mellitus (GDM) and their predictive value.

A total of 1 422 early pregnant women enrolled in a prospective dynamic birth cohort at Gansu Provincial Maternal and Child Health Hospital from 2018 to 2022 were included. Baseline data and early pregnancy laboratory indicators were collected, and GDM occurrence was followed up and recorded. Logistic regression was used to analyze the relationship between early pregnancy white blood cell count (WBC),lymphocyte count (LYMPH), hemoglobin (HGB), and FPG levels with the confirmed GDM outcome. Restricted cubic spline (RCS) analysis was conducted to investigate whether there was a nonlinear relationship between WBC, FPG, and GDM. Additionally, subgroups were analyzed based on age, parity, and other factors. Finally, the predictive value of various early pregnancy indicators for GDM was assessed using receiver operating characteristic (ROC) curves.

Among the 1 422 early pregnant women, 154 developed GDM in mid-pregnancy. After adjusting for covariates such as age, pre-pregnancy BMI, and parity, logistic regression analysis revealed that the risk of developing GDM for the highest quartile levels of WBC, LYMPH, HGB, and FPG was 1.774 times (95%CI: 1.088-2.893), 1.712 times (95%CI: 1.035-2.833), 1.597 times (95%CI: 1.004-2.555), and 6.459 times (95%CI: 3.612-11.151) that of the lowest quartile group, respectively, with all differences being statistically significant (P<0.05). RCS analysis indicated a positive linear dose-response relationship between early pregnancy WBC, FPG, and the risk of GDM. In subgroup analysis, overweight and obese women showed an increased risk of GDM with elevated early pregnancy WBC (OR=1.212,95%CI: 1.106-1.445) and FPG (OR=6.758, 95%CI: 3.407-14.989). The combination of early pregnancy WBC, FPG, HGB, age, and pre-pregnancy BMI provided the best predictive value for GDM (AUC=0.736, 95%CI: 0.695-0.776).

Clinical practitioners should focus on early pregnancy WBC and FPG levels, as well as the conditions of advanced maternal age and overweight/obesity, to implement timely health interventions for primary prevention of GDM.

To analyze the current status of perceived HIV/AIDS-related stress among elderly individuals living with HIV/AIDS (PLWHA) and its influencing factors, and to explore the mediating role of psychological resilience between social support and HIV/AIDS-related stress.

A convenience sampling method was employed to include 405 elderly PLWHA from the Infectious Diseases and Immunology Department of Changsha Infectious Disease Hospital between January and February 2024. The on-site questionnaire included the Social Support Rating Scale (SSRS), the 10-item Connor-Davidson Resilience Scale (CD-RISC-10), the Chinese HIV/AIDS Stress Scale (CSS-HIV), as well as demographic and disease characteristic information. Descriptive analysis, univariate analysis, and multiple stepwise linear regression were used to analyze the current status and influencing factors of HIV/AIDS-related stress; mediation analysis was conducted to explore the mediating effect of psychological resilience on HIV/AIDS-related stress.

The total score for HIV/AIDS-related stress among elderly PLWHA was 24.84±14.01, with emotional stress scoring 5.91±5.98,social stress 14.23±6.21, and instrumental stress 4.71±4.74. Factors influencing HIV/AIDS-related stress included being retired or engaged in farming, comorbidities, levels of social support, and psychological resilience (P<0.05). Psychological resilience showed a partial mediating effect in the relationship between social support and HIV/AIDS-related stress, accounting for 40.81% of the mediation effect.

Psychological resilience partially mediates the impact of social support on HIV/AIDS-related stress among elderly PLWHA. Interventions aimed at improving the status of social support and enhancing the psychological resilience of patients may help alleviate HIV/AIDS-related stress, thereby reducing their psychological burden and suffering.

To analyze the prevalence and influencing factors of different obesity metabolic phenotypes in middle-aged and elderly populations in Hubei Province, aiming to provide scientific reference and decision-making basis for early prevention and intervention of obesity-related diseases.

A population involved in the “National Cardiovascular Disease High-risk Population Early Screening and Comprehensive Intervention Project” from January 2016 to December 2019 in Hubei Province was selected to analyze the prevalence and epidemiological characteristics of different obesity metabolic phenotypes and to explore the influencing factors of obesity metabolic phenotypes in middle-aged and elderly populations in Hubei.

A total of 112 270 participants were included in this study. The prevalence rates of metabolically healthy overweight or obese, metabolically unhealthy normal weight, and metabolically unhealthy overweight or obese were 15.78%, 21.16%, and 42.82%, respectively. The results of the unordered multinomial logistic regression showed that, compared to the metabolically healthy normal weight group, living in rural areas (OR=1.08, 95%CI: 1.03-1.13; OR=1.21, 95%CI: 1.16-1.25), being in the older age group (aged 65 and above, OR=3.39,95%CI: 3.15-3.64; OR=3.31, 95%CI: 3.12-3.52), being male (OR=1.22, 95%CI: 1.16-1.29; OR=1.17, 95%CI: 1.12-1.22), and alcohol consumption (OR=1.15, 95%CI: 1.08-1.23; OR=1.14, 95%CI: 1.07-1.20) were associated with an increased risk of being metabolically healthy overweight or obese, metabolically unhealthy normal weight, and metabolically unhealthy overweight or obese.Higher education level (high school or above, OR=0.87, 95%CI: 0.84-0.92), higher household annual income (≥50 000 yuan, OR=0.81, 95%CI: 0.76-0.86), and smoking (OR=0.67, 95%CI: 0.63-0.70) were associated with a decreased risk of being metabolically unhealthy overweight or obese (all P < 0.01).

The prevalence of metabolically unhealthy overweight or obesity is high in Hubei Province, and it is essential to strengthen prevention and control efforts, particularly targeting older males in rural areas, those with low income, low education levels, and individuals with alcohol consumption habits.

To construct and validate a nomogram model for sarcopenia in Chinese elderly individuals.

Data from the China Health and Retirement Longitudinal Study (CHARLS) in 2011 and 2015 were utilized, randomly divided into training and validation sets in a 7:3 ratio. LASSO regression was employed to select potential predictive variables, and Logistic regression was used to determine the final predictive variables, leading to the construction of the nomogram. The model’s predictive performance, calibration, and clinical validity were evaluated through the area under the receiver operating characteristic curve (AUC), Hosmer-Leeshawn test, calibration curve, and decision curve analysis.

A total of 1 320 elderly individuals without sarcopenia at baseline were included, and after a 4-year follow-up, 161 individuals (12.2%) developed sarcopenia. LASSO regression identified 10 potential predictive variables, while Logistic regression analysis indicated that age and social isolation were risk factors, with odds ratios (ORs) of 1.086 (95%CI: 1.049-1.125) and 1.696 (95%CI: 1.114-2.582), respectively. Social interaction (SI) was identified as a protective factor (OR=0.986, 95%CI: 0.973-0.999). Compared to a body roundness index (BRI) ≤ 3.00, higher BRI levels were associated with lower risk: ORs (95%CI) for >3.00-3.74, >3.74-4.51, >4.51-5.47, and >5.47 were 0.529 (0.284-0.988), 0.315 (0.164-0.606), 0.128 (0.061-0.270), and 0.174 (0.087-0.347),respectively. Based on these findings, a nomogram was constructed, with AUCs of 0.734 and 0.723 for the training and validation sets, respectively, indicating good model discrimination. The Hosmer-Leeshawn test demonstrated good model fit, and the calibration curve closely matched the ideal curve. Decision curve analysis suggested that the model possesses good clinical efficacy.

The risk of sarcopenia is relatively high among Chinese elderly individuals, and the nomogram model constructed based on age, SI, social isolation, and BRI can effectively predict the risk of its occurrence.

To describe the epidemic characteristics of pertussis in Jiangsu Province from 2011 to 2023 and to explore the feasibility of using the Autoregressive Integrated Moving Average (ARIMA) model for predicting pertussis incidence in the province.

Epidemiological characteristics of pertussis cases collected for this study were analyzed. Data from January 2011 to June 2023 were used as the training set to construct the ARIMA model, which was then utilized to predict the incidence trend of pertussis from July 2023 to December 2024, thereby evaluating the model’s predictive performance.

A total of 1 970 pertussis cases were reported in Jiangsu Province from 2011 to 2023, with an annual incidence rate of 0.19 per 100 000. The number of reported male cases exceeded that of female cases, yielding a sex ratio of 1.08:1. Most cases occurred in infants under one year of age (52.2%, 1 049/1 970), with 83.5% of these infants being under six months old (876/1 049). Pertussis exhibited a seasonal peak during spring and summer, with the highest incidence observed in April. The ARIMA (1,1,3) (0,1,2)₁₂ model was identified as the optimal predictive model for this study, showing a close alignment between the model-fitted incidence trend from 2011 to 2023 and the actual incidence trend. Additionally, the actual monthly incidence from July to December 2023 fell within the 95% confidence interval of the predicted values.

This model effectively fits the incidence of pertussis in Jiangsu Province and holds practical value for short-term prediction and analysis of pertussis in the region.

To explore the association between overt proteinuria (OP) and moderately reduced estimated glomerular filtration rate (MG) in relation to the incidence of coronary artery disease (CAD).

The study targeted elderly individuals (aged ≥60 years) who completed at least two national basic public health service health examinations at a community health service center in Chengdu from 2017 to 2022. A total of 4 316 subjects were categorized into four groups based on the presence or absence of OP and MG: no OP no MG (NP[MG-]), OP no MG (OP[MG-]), no OP with MG (NP[MG+]),and OP with MG (OP[MG+]). An intrinsic time-dependent Cox analysis was conducted to evaluate the association of estimated glomerular filtration rate and proteinuria, individually or in combination, with the risk of CAD.

The study included 4 316 subjects with a median follow-up time of 6.25 years, during which 419 developed new cases of CAD. The results indicated that compared to the group with both indicators negative, the risk of CAD increased by 15% (HR=1.15, 95% CI: 0.88-1.41) for those with moderately reduced estimated glomerular filtration rate (MG+), by 14% (HR=1.14, 95% CI: 0.76-1.51) for those with overt proteinuria (OP), and by 93% (HR=1.93, 95% CI: 1.50-2.37) for those with both indicators positive (OP[MG+]). The combined use of both indicators demonstrated a superior discriminatory effect on CAD risk compared to the use of either indicator alone.

Routine screening for estimated glomerular filtration rate and albuminuria in the elderly population is recommended, as the combined assessment of both indicators is more effective in identifying individuals at high risk for coronary artery disease.

To investigate the status and influencing factors of social frailty in elderly patients on Maintenance Hemodialysis (MHD) and to construct a nomogram prediction model.

A survey was conducted among 340 elderly MHD patients using a general information questionnaire, social frailty scale, hemodialysis self-management scale, Toronto Alexithymia Scale, Family Care Index, and Social Support Rating Scale. Independent influencing factors were identified, and a nomogram prediction model was constructed and evaluated.

The prevalence of social frailty among elderly MHD patients was 28.82%. Binary logistic regression analysis revealed that a history of falls in the past year (OR=3.117, 95% CI: 1.249-7.778), self-care ability (OR=4.058, 95% CI: 2.002-8.228), alexithymia (OR=1.073, 95% CI: 1.009-1.141), family care level (OR=0.744, 95%CI: 0.612-0.903), and social support (OR=0.886, 95% CI: 0.801-0.981) were significant influencing factors for social frailty in elderly MHD patients (all P<0.05). The area under the receiver operating characteristic curve for the constructed model was 0.921(95% CI: 0.893-0.950), with the maximum Youden index being 0.688, an optimal cutoff value of 0.330, sensitivity of 83.7%, and specificity of 85.1%, indicating high discrimination of the model. The Hosmer-Leeshawn test yielded χ²=10.465, P=0.234,suggesting good model fit. Internal validation calibration curves indicated satisfactory calibration of the model. Decision curve analysis demonstrated high clinical utility of the model.

The nomogram prediction model developed in this study is a practical and convenient tool that aids in predicting the risk of social frailty in elderly MHD patients.

To investigate the distribution characteristics of three endocrine disruptors (EDCs)—nonylphenol (NP),octyl phenol (OP), and bisphenol A (BPA)—in drinking water in the Henan section of the Yellow River Basin and to conduct a health risk assessment.

In October 2023, water samples were collected from 32 urban and rural water plants in the Henan section of the Yellow River Basin, with each plant providing one sample each of source water, treated water, and tap water, totaling 96 samples. The concentrations of EDCs were determined using solid-phase extraction coupled with ultra-high-performance liquid chromatography-tandem mass spectrometry (SPE-UPLC-MS/MS), and potential health risks were assessed using the risk entropy method.

All three EDCs were detected in the drinking water of the Henan section of the Yellow River Basin, with overall concentrations ranging from Not Detected (ND) to 234.00 ng/L. The detection rates for NP and OP were 100%, while BPA had a detection rate of 36.46%. Among the average values of the three EDCs, NP was found to be greater than OP, which was greater than BPA across different water sample types. Specifically, the average concentration of EDCs followed the order: source water > tap water > treated water. EDCs were commonly found in drinking water across various cities, with NP exhibiting the highest average concentration. Compared to relevant domestic and international studies, the level of EDC contamination in drinking water in this region was considered to be moderate to low. The health risk assessment indicated that the non-carcinogenic health risk values for adults and children ranged from 1.07×10^-5 to 9.34×10^-5, both of which were well below 1, with children’s risks being higher than those for adults.

EDC contamination is prevalent in drinking water in the Henan section of the Yellow River Basin, with low concentration levels and acceptable health risk levels for the population.

To assess the content of heavy metals lead and cadmium in mantis shrimp and Chinese mitten crab sold in Suzhou, as well as the dietary exposure and health risks associated with passive intake of these metals through consumption of these two seafood products.

An in vitro experiment was conducted to simulate the human digestive process, measuring the levels of lead and cadmium in simulated gastric and intestinal digestion extracts, and calculating their bio accessibility. The dietary exposure and health risks of lead and cadmium in the two seafood products were evaluated using exposure boundary ratios, non-carcinogenic hazard coefficients, and target carcinogenic risk indices.

Among the tested seafood products, lead levels were within acceptable limits, while cadmium exceeded the limit in four samples. After treatment with simulated gastric digestion fluid, the bio accessibility data for cadmium and lead were 59.1% to 87.5% and 19.9% to 46.0%, respectively. Following treatment with simulated intestinal digestion fluid, the bio accessibility data for cadmium and lead were 20.5% to 45.1% and 18.1% to 38.2%,respectively. The dietary exposure limits for lead and cadmium in both seafood products were greater than 1.8, the noncarcinogenic hazard coefficients were below the safety benchmark of 1.0, and the target carcinogenic risk was no greater than 5.00×10^-5 per year.

The dietary exposure risk of lead and cadmium in the two seafood products does not have a significant impact on human health, and both non-carcinogenic and target carcinogenic risks are within acceptable limits.

To investigate the contamination status of quinolone veterinary drug residues in animal-derived foods sold in Guizhou Province and assess the dietary exposure risk.

From 2019 to 2023, a total of 818 samples of animal-derived foods were collected from nine cities (prefectures) in Guizhou Province to monitor quinolone veterinary drug residues.The average, maximum, P₅₀, and P_97.5 values were calculated, and dietary exposure risk was assessed using the point estimate method in conjunction with food intake data from the western region of China.

Different levels of enrofloxacin, ciprofloxacin, pefloxacin, and ofloxacin were detected in pork, chicken, eggs, freshwater fish, and freshwater shrimp. The detection rates for enrofloxacin, ciprofloxacin, pefloxacin, and ofloxacin were 5.50% (45/818), 2.44% (20/818), 0.37% (3/818),and 0.61% (5/818), respectively. The dietary exposure levels of quinolone veterinary drugs through animal-derived foods for different age groups were 0.06 to 5 300.22 ng/(kg·d) (3-5 years), 0.09 to 5 981.67 ng/(kg·d) (6-11 years), 0.05 to 4 080.37 ng/(kg·d) (12-17 years), 0.04 to 2,812.93 ng/(kg·d) (18-59 years), and 0.04 to 2 370.91 ng/(kg·d) (≥60 years). The risk ratios corresponding to the average, maximum, P₅₀, and P_97.5 values for enrofloxacin and ofloxacin ranged from 0.0 003 to 0.9 941.

The risk of dietary exposure to quinolone veterinary drugs through animal-derived foods in the Guizhou population is low; however, attention should be paid to the 3-11 age group.

To investigate the heterogeneous development trajectories of early depression symptoms in adolescents and their influencing factors.

A cluster sampling method was employed to conduct four follow-up surveys from March 2023 to September 2024, targeting 1 118 seventh-grade students from junior high schools in the Hunan-Hubei-Chongqing-Guizhou border area. Each survey was spaced six months apart, utilizing the Depression Symptoms Scale, Family Support Scale,Peer Relationship Scale, and School Connection Scale. Group-based Trajectory Modeling (GBTM) was used to explore the heterogeneous development trajectories of early depression symptoms in adolescents, while multi-class logistic stepwise regression analysis was performed to identify the relevant factors associated with different latent developmental trajectories.

Four subtypes were identified: “G1: Low Risk-Deterioration Group” (8.27%), “G2: High Risk-Persistent Group”(3.73%), “G3: Low Risk-Stable Group” (78.24%), and “G4: High Risk-Relief Group” (9.76%). Using the G3 group as a reference, the protective factors for the G1 group included being male (OR=0.417, 95%CI: 0.297-0.585), family support (OR=0.870, 95%CI: 0.641-0.923), peer relationships (OR=0.829, 95%CI: 0.740-0.998), and school connection (OR=0.865, 95%CI:0.725-0.906); risk factors included boarding (OR=1.310, 95%CI: 1.154-2.010), being left-behind (OR=2.196, 95%CI: 1.376-3.503), single-parent families (OR=2.247, 95%CI: 1.456-3.468), and low Family Economic Status (FSES) (OR=1.548, 95%CI:1.371-2.451). For the G2 group, protective factors included being male (OR=0.318, 95%CI: 0.263-0.521), family support (OR=0.856, 95%CI: 0.817-0.991), and peer relationships (OR=0.849, 95%CI: 0.711-0.988); risk factors were boarding (OR=1.332,95%CI: 1.022-2.058), being left-behind (OR=1.422, 95%CI: 1.211-3.218), single-parent families (OR=2.953, 95%CI: 1.659-4.256), and low FSES (OR=2.469, 95%CI: 1.188-3.128). For the G4 group, being male (OR=1.350, 95%CI: 1.001-1.513) was identified as a risk factor, while family support (OR=0.892, 95%CI: 0.751-0.943) and school connection (OR=0.846, 95%CI:0.705-0.961) were protective factors.

There is significant group heterogeneity and individual variability in early depression symptoms among adolescents. It is crucial to focus on the “Low Risk-Deterioration Group” and “High Risk-Persistent Group” to enhance the breadth and depth of their interpersonal support networks.

To explore the reciprocal predictive relationship between adolescent peer relationships and depression and anxiety, providing a basis for the implementation of mental health education for adolescents.

A longitudinal survey was conducted using the Center for Epidemiologic Studies Depression Scale (CES-D) and the Screen for Child Anxiety Related Emotional Disorders (SCARED) among 3 840 students in grades 1-8 in Chengdu, Sichuan Province, over four waves spanning three years. The Random Intercept Cross-Lagged Panel Model (RI-CLPM) was employed to investigate the bidirectional relationships between peer relationships and depression and anxiety.

Among the participants, there were 1 877 boys, accounting for 48.9%. The age distribution was as follows: 1 100 individuals aged 6 to 8 years (28.7%), 1 768 individuals aged 9 to 11 years (46.1%), and 965 individuals aged 12 to 16 years (25.2%). In terms of grade distribution, there were 1 400 students in grades 1 to 3 (36.5%), 1 702 students in grades 4 to 6 (44.3%), and 738 students in grades 7 to 8 (19.2%). The results of the cross-lagged model indicated a significant negative correlation between peer relationships and depression and anxiety at the individual level (β=-0.71, P<0.001; β=-0.45, P<0.001). At the individual level, peer relationships at the previous time point significantly negatively predicted depression and anxiety at the subsequent time point, except for the fourth wave. Additionally, depression and anxiety at the previous time point significantly negatively predicted peer relationships at all follow-up time points.

This study reveals a complex bidirectional predictive relationship between adolescent peer relationships and depression and anxiety, offering theoretical insights and practical significance for adolescent mental health care and preventive interventions.

To investigate the relationship between hemoglobin (Hb) levels in early pregnancy and the incidence of gestational diabetes mellitus (GDM).

Following the principle of informed consent, data were collected from pregnant women who underwent prenatal care and delivery at ten hospitals and fifteen community health service centers in Kunshan,Jiangsu Province, from August 2019 to June 2021. This included demographic information, medical and family history, reproductive history, physical examinations, and laboratory test results. GDM was diagnosed based on the results of the oral glucose tolerance test during pregnancy. A restricted cubic spline (RCS) regression analysis was employed to explore the dose-response relationship between Hb levels and the risk of GDM. Based on the RCS results, Hb levels were categorized into two groups: Hb ≤ 138.4 g/L and Hb > 138.4 g/L. Logistic regression was then used to analyze the relationship between early pregnancy Hb levels and the risk of GDM, calculating the odds ratio (OR) and its 95% confidence interval (95%CI) to assess the strength of the association.

Totally 9 045 women with singleton pregnancy were included in this study, with an incidence of GDM of 14.72% (n=1 331). The RCS regression results indicated a linear relationship between early pregnancy Hb levels and the risk of GDM (overall trend test: P=0.013, non-linear test: P=0.396). Multivariable logistic regression revealed that women with Hb > 138.4 g/L had a higher risk of GDM compared to those with Hb ≤ 138.4 g/L, with an adjusted OR of 1.214 (95%CI: 1.021-1.445).

Elevated Hb level in early pregnancy is a risk factor for the development of GDM.

To analyze the distribution characteristics of mothers with different parities in Hebei Province and their impact on pregnancy outcomes.

Data from 398 111 mothers who delivered in 22 hospitals across 10 cities in Hebei Province were analyzed. Based on previous delivery counts (excluding the current hospitalization), mothers were categorized into three groups:primipara (parity=0), multipara (parity=1), and grand multipara (parity≥2). The distribution characteristics of mothers by parity were analyzed, and the influence of different parities on pregnancy outcomes was assessed using multifactorial logistic regression.

From 2014 to 2022, the average age of mothers in all three groups showed an upward trend, as did the proportion of grand multipara mothers. With the increase in hospital level, the proportion of primipara mothers rose, while the proportions of multipara and grand multipara mothers declined. The proportion of primipara mothers in provincial and municipal hospitals was higher than that in county and township hospitals, where the proportions of multipara and grand multipara mothers were lower. As parity increased, the incidence rates of anemia, placenta previa, placental abruption, preterm birth, cesarean delivery, macrosomia, low Apgar scores, and perinatal mortality also increased. Conversely, the incidence rates of gestational diabetes, gestational hypertension, abnormal fetal position, soft birth canal lacerations, postpartum hemorrhage, and low birth weight exhibited a “U” trend. Using primipara (parity=0) mothers as the reference group, the results of the multifactorial logistic regression analysis indicated that parity≥1 was a risk factor for anemia (OR=1.041, 95%CI: 1.024-1.058), gestational diabetes (OR=1.301, 95% CI: 1.237-1.375), placenta previa (OR=1.565, 95% CI: 1.359-1.802), soft birth canal lacerations (OR=1.394, 95% CI: 1.157-1.681), and macrosomia (OR=1.222, 95%CI: 1.189-1.257). In contrast, it was a protective factor against gestational hypertension (OR=0.677, 95% CI: 0.651-0.703),abnormal fetal position (OR=0.650, 95% CI: 0.617-0.684), cesarean delivery (OR=0.296, 95% CI: 0.290-0.301), and low birth weight (OR=0.872, 95% CI: 0.830-0.917). Parity≥2 was identified as a risk factor for preterm birth (OR=1.470, 95% CI: 1.372-1.575) and postpartum hemorrhage (OR=1.242, 95% CI: 1.086-1.420).

The risk of adverse pregnancy outcomes varies with parity. Targeted prevention of gestational complications and comorbidities should be implemented during prenatal care for mothers of different parities to reduce the risk of adverse maternal and infant outcomes.

To analyze the factors influencing overweight and obesity among middle school students and to establish a nomogram for predicting the risk of overweight and obesity in this population.

From September to November 2024, a random cluster sampling method was used to select 5 135 middle school students from 20 schools in Tongren city for physical examinations and questionnaire surveys. Lasso regression was employed to identify factors affecting overweight and obesity, and a nomogram prediction model was established and validated.

The prevalence of overweight and obesity among middle school students was 25.02%. Multivariate logistic regression analysis revealed that being female (OR=0.430, 95%CI: 0.371-0.499),boarding at school (OR=0.582, 95%CI: 0.500-0.678), engaging in moderate to high-intensity physical activity for one hour daily (OR=0.730, 95%CI: 0.630-0.847), having non-obese parents (OR=0.466, 95%CI: 0.404-0.538), and external eating triggers (OR=0.945, 95%CI: 0.935-0.956) were protective factors against overweight and obesity. Conversely, consuming fresh fruits and vegetables at every meal (OR=1.308, 95%CI: 1.103-1.549), restrictive eating (OR=1.100, 95%CI: 1.089-1.111), and emotional eating (OR=1.091, 95%CI: 1.079-1.103) were identified as risk factors. The areas under the curve (AUC) for the training and validation sets were 0.790 (95%CI: 0.775-0.806) and 0.765 (95%CI: 0.731-0.799), respectively, indicating good discrimination of the nomogram prediction model. The Brier score was 0.15, and the Hosmer-Leeshawn test suggested good model fit (χ²=10.984, P=0.203).

The nomogram model established in this study effectively predicts the risk of overweight and obesity, providing a reference for screening high-risk students and implementing personalized prevention strategies.

To investigate the factors influencing Guangzhou residents’ willingness to use “Internet + pharmaceutical services”, providing references for optimizing related service platforms.

A questionnaire was designed based on the UTAUT model, and from January to May 2024, residents of Guangzhou were surveyed. Structural equation modeling was utilized to test the path relationships and mediating effects, constructing a model of the influencing factors on residents’ willingness to use“Internet + pharmaceutical services”.

Social influence (β=0.319, P<0.001), effort expectancy (β=0.264, P<0.05), and performance expectancy (β=0.256, P<0.001) positively impacted the willingness of Guangzhou residents to use “Internet +pharmaceutical services”. Social influence had a significant positive effect on performance expectancy (β=0.764, P<0.001), and performance expectancy partially mediated the positive effect of social influence on willingness to use. Facilitating factors (P>0.05) did not have a significant effect on willingness.

Performance expectancy, effort expectancy, and social influence are the main factors affecting Guangzhou residents’willingness to use “Internet + pharmaceutical services”. Related platforms should innovate and improve their design based on residents’ needs, ensuring the practicality and usability of services to enhance user experience. Additionally, promoting and publicizing “Internet + pharmaceutical services” should be strengthened to leverage social influence, thereby increasing public recognition and willingness to use.

To understand the current status of health information avoidance behavior regarding AIDS prevention among rural middle-aged and elderly individuals aged 50 and above, and to analyze its influencing factors.

From September to December 2024, a convenience sampling method was employed to select 751 middle-aged and elderly individuals from rural areas in five districts of Luzhou city for the study. A general information questionnaire, AIDS prevention health information avoidance scale, brief health literacy scale, self-neglect scale, and AIDS discrimination scale were utilized for data collection. Statistical analyses including t-tests, ANOVA, Pearson correlation analysis, and multiple linear regression were conducted to analyze influencing factors.

The average score for health information avoidance behavior regarding AIDS prevention among rural middle-aged and elderly individuals was (31.64±10.08). The influencing factors included education level (β=-0.066, 95%CI: -0.122 to -0.010), age (β=0.074,95%CI: 0.021-0.127), being widowed (β=-0.089, 95%CI: -0.154 to -0.024), employment status (β=0.061, 95%CI: 0.004-0.118),health literacy (β=-0.267, 95% CI: -0.337 to -0.197), self-neglect (β=0.267, 95%CI: 0.199-0.334), and AIDS discrimination (β=0.344, 95%CI: 0.279-0.408) (all P<0.05), collectively explaining 64.10% of the total variance.

The health information avoidance behavior regarding AIDS prevention among the rural middle-aged and elderly population is at a moderately high level. To reduce this behavior, it is essential to focus on individuals with lower health literacy, higher levels of self-neglect, greater discrimination against AIDS, older age, lower educational attainment, and those engaged in labor. Targeted measures should be implemented to improve this population’s willingness and ability to access and apply AIDS prevention health information

To explore the potential pathways influencing self-management behaviors among community patients with peptic ulcers, providing a basis for interventions aimed at enhancing self-management in this population.

From March to August 2024, a stratified cluster sampling combined with convenience sampling was employed to randomly select 640 community patients with peptic ulcers from five administrative districts in Hengyang city for a questionnaire survey. Data analysis was conducted using SPSS 26.0 for t-tests, ANOVA, and partial correlation analysis, and a chain mediation model was constructed using Process 4.0 plugin model 6.

Health literacy had a significant direct effect on self-management (b=0.322, 95%CI: 0.254-0.390); the mediating effects of social support and self-efficacy between health literacy and self-management were 0.067 (95%CI: 0.043-0.098) and 0.100 (95%CI: 0.069-0.135), respectively. The chain mediating effect of social support and self-efficacy was also significant (b=0.016, 95%CI: 0.008-0.025).

Enhancing the level of health literacy among community patients with peptic ulcers is beneficial for improving social support and increasing self-efficacy, thereby enhancing self-management levels.

To analyze the composition, mortality, and corresponding trends of hospitalized patients with malignant tumors in Chengdu from 2016 to 2020, providing an effective reference for cancer prevention and control in Chengdu and its districts and counties.

Based on relevant information from the first hospitalization records of malignant tumor patients in 87 municipal and county-level hospitals in Chengdu from 2016 to 2020, this study analyzed the composition of hospitalized malignant tumor patients, the incidence by age group, mortality, and their trends across different regions of Chengdu.

From 2016 to 2020, the total number of first-time hospitalized malignant tumor patients in Chengdu’s 87 hospitals was 287 901 (165 359 males and 122 542 females). The top five malignant tumor cases were lung cancer, rectal cancer, liver cancer, esophageal cancer, and colon cancer. Over the five years, the total number of hospitalized malignant tumor patients in the city showed an increasing trend, rising from 46 377 cases in 2016 to 65 488 cases in 2020, with a fixed-base growth rate of 41.2%.In 2020, compared to 2016, the number of hospitalized malignant tumor patients decreased in Xinjin District, Shuangliu District, Pengzhou city, and Dayi County, with decrease rates of 44.7%, 10.3%, 6.0%, and 1.9%, respectively; while in other districts and counties, the number of hospitalized malignant tumor patients increased, with the fastest growth observed in Pidu District, Wuhou District, Jinjiang District, Wenjiang District, and Jintang County, with fixed-base growth rates of 143.0%,119.6%, 111.0%, 56.3%, and 53.4%, respectively. The number of deaths among hospitalized malignant tumor patients was 21 381 (13 808 males and 7 573 females), with the mortality from various malignant tumors increasing annually, from 3 742 cases in 2016 to 4 504 cases in 2020, resulting in a fixed-base growth rate of 20.4%. The top five malignant tumors by mortality were lung cancer, liver cancer, colon cancer, esophageal cancer, and gastric cancer.

The burden of malignant tumors in Chengdu is increasing, with slight variations in the composition and mortality of malignant tumors across different districts and counties, indicating the need for localized cancer prevention and control policies.

To understand the prevalence of health abnormalities detected in health examinations of elderly individuals aged ≥65 in Shenzhen from 2021 to 2023.

This study extracted health examination records of all participants aged ≥65 who underwent free health check-ups as part of the National Basic Public Health Service Project in Shenzhen from 2021 to 2023.The prevalence rates of single, dual, and triple health abnormalities were described, and the co-occurrence rates of two diseases were analyzed by gender and age groups.

A total of 1 194 927 health examination records were reviewed from 2021 to 2023, showing an overall increasing trend in the detection rate of health abnormalities among the elderly, which remained high.The detection rate for overweight or obesity ranked first, ranging from 59.0% to 59.5% during this period. The highest co-occurrence rate was observed for overweight or obesity combined with dyslipidemia or abnormal blood lipids, ranging from 34.3%to 35.3%. Overall, females and individuals aged 75 and older exhibited higher health risks. Furthermore, the highest cooccurrence of three health abnormalities was found in individuals with overweight or obesity, electrocardiogram abnormalities, and dyslipidemia or abnormal blood lipids, with a detection rate of 19.2% to 20.1%.

Among elderly individuals aged ≥65,the highest detection rate was for overweight or obesity, which frequently coexists with other chronic diseases. There is a pressing need to focus on women and older seniors. Public health institutions at the grassroots level should enhance health management for early detection, intervention, and treatment of key diseases and populations.

To investigate the implementation effects of the DIP payment reform on rehabilitation inpatients, providing empirical support for assessing the applicability of current medical insurance payment reform to rehabilitation inpatients.

An interrupted time series analysis was conducted using data from the discharge summaries of rehabilitation inpatients at a large tertiary public hospital in Chengdu from 2019 to 2023.

A total of 2 143 rehabilitation inpatient cases were included in this study. After the reform, indicators reflecting the operational efficiency of the rehabilitation department showed a positive trend, with the average monthly inpatient visits steadily increasing (β = 0.395, P < 0.001). The average length of stay decreased but not significantly (β < 0, P > 0.05). The treatment costs, reflecting the technical labor value of rehabilitation physicians, significantly decreased (β = -45.251, P < 0.05), while drug costs increased (β = 2.36, P < 0.05). The changes in patient financial burden indicators were minimal, with out-of-pocket expenses showing a slight increase (β = 1.818, P > 0.05).

The results indicate that the DIP payment reform has weak control over the length of stay for rehabilitation patients. After the reform, the out-of-pocket expenses for patients did not decrease, and their medical needs were not adequately met. Future efforts should focus on establishing a patient demand-oriented payment method for rehabilitation medical insurance.

The medical service price index is a key reference indicator reflecting changes in medical service prices in a region. This study aims to analyze the variations in medical service prices and subgroup indices across different levels of medical institutions in Leshan city to guide pricing strategy optimization and promote reforms in medical service pricing.

Using a fixed-weight method, the medical service price index (MSPI) for all public medical institutions (36 in total) in Leshan city for the years from 2022 to 2023 was calculated in detail, with data sourced from the medical institution records provided by the Leshan Bureau of Human Resources and Social Security.

Following the reforms in 2023, the overall medical service prices in Leshan city rose, with the total price index reaching 100.38%. Notably, the price indices for medical technical diagnosis, clinical diagnosis, and traditional and ethnic medicine services increased, while the price indices for surgical treatments, acupuncture, and massage therapy saw significant rises. Conversely, the price indices for laboratory tests and medical imaging categories declined, and the comprehensive medical service price index remained unchanged.

The 2023 reforms in Leshan city have effectively optimized the existing structure of medical service prices. Furthermore, the study found that calculating the medical service price index for tertiary medical institutions, which have higher weights, can to some extent reflect the overall medical service price index situation.

To analyze the degree of coupling and coordination between child health care services and pediatric medical resource allocation in Guangdong Province from 2012 to 2020, providing a reference for promoting the coordinated development.

Data on relevant indicators of child health care services and pediatric medical resource allocation from 2012 to 2020 were selected. A comprehensive evaluation was conducted using a comprehensive development index and relative development degree. The coupling coordination model was employed to analyze the coupling coordination between the two systems. Cold and hot spot analysis was utilized to explore the spatial and temporal clustering characteristics of the two systems.

There were significant regional differences in the development levels of child health care services and pediatric medical resources in Guangdong Province from 2012 to 2020, with the relative development degree consistently exceeding 1.2, indicating a lagging configuration of pediatric medical resource allocation. The coupling coordination type transitioned from a severely unbalanced and declining state to a barely coordinated state. Hotspot analysis revealed that from 2012 to 2020, the hotspot areas for the coupling coordination degree of the two systems included Guangzhou, Dongguan, and Shenzhen, with the clustering effect gradually strengthening and expanding southward.

It is essential to enhance the precision of pediatric resource allocation and reduce the disparities in development levels among regions. A macro perspective on the overall structure of child health care services should be adopted to achieve coordinated development between child health care services and pediatric medical resource allocation.

To analyze the impact of the implementation of high-quality development policies for public hospitals on the structure of medical expenses in public hospitals in Shanghai, providing a reference for controlling medical costs.

The structural change method was employed to analyze the changes in inpatient expense structures in various levels of public hospitals in a district of Shanghai from October 2019 to October 2023. A segmented time series analysis was conducted to examine the structural levels and trend changes in inpatient expenses before and after the policy implementation.

Following the implementation of the high-quality development policies, the proportion of drug costs and medical service fees in secondary and tertiary hospitals showed a decreasing trend, while the proportion of health materials costs increased. Conversely, in traditional Chinese medicine hospitals, the proportion of health materials costs and medical service fees decreased, while the proportion of drug costs increased. The inpatient expenses in tertiary hospitals, secondary hospitals, and traditional Chinese medicine hospitals decreased by 37.8%, 3.4%, and 9.4%,respectively.

The implementation of high-quality development policies for public hospitals has reduced inpatient expenses across various levels of hospitals in Shanghai; however, it does not impact the long-term effects on inpatient costs. There is a need for long-term monitoring of expense structures, scientific and reasonable calculations of medical service project costs, and the establishment of a more rational fiscal compensation mechanism to promote the high-quality development of public hospitals.

To explore the relationship between sleep duration, its changes, and the activities of daily living (ADL) in the elderly.

Utilizing data from the China Health and Retirement Longitudinal Study, participants who took part in the surveys conducted in 2018 and 2020 were selected. Based on sleep duration, participants were categorized into three groups: short sleep (<7 hours), adequate sleep (7-9 hours), and long sleep (>9 hours). The study employed restricted cubic spline analysis to examine the dose-response relationship between sleep duration and ADL, and a Cox proportional hazards regression model to analyze the relationship between dynamic changes in sleep duration and ADL.

A total of 3 923 participants were included in this study, with 1 162 (29.6%) experiencing ADL impairment during the follow-up period. The Cox proportional hazards regression model indicated that individuals who consistently maintained short sleep and those who transitioned from adequate sleep to short sleep had a 50% and 39% increased risk of ADL impairment, respectively, with hazard ratios (HR) and 95% confidence intervals (CI) of 1.50(1.27-1.78) and 1.39 (1.14-1.71). Additionally, those with a significant reduction in sleep duration (< -2 hours) had a 20% increased risk of ADL impairment (HR=1.20, 95%CI: 1.01-1.41).

Maintaining adequate and stable sleep duration over the long term can reduce the risk of ADL impairment in the elderly.

To explore the relationship between multidimensional social deprivation and symptoms of anxiety and depression in the elderly.

In July 2023, a questionnaire survey was conducted with 533 individuals aged 60 and above in a district of Chengdu. Spearman rank correlation analysis was used to assess the correlation between social deprivation and its dimensions with symptoms of anxiety and depression, while multiple binary logistic regression analysis was employed to examine the association between social deprivation and its dimensions with anxiety and depression symptoms.

The detection rates of anxiety and depression symptoms among the study participants were 12.9% and 12.8%, respectively, with a co-occurrence rate of 7.7%. The total score of the social deprivation scale was (45.34±9.30). There were positive correlations between social deprivation and depression symptoms (r=0.544, P<0.001) as well as anxiety symptoms (r=0.391, P<0.001). Social deprivation and its dimensions were identified as risk factors for both anxiety symptoms and depression symptoms, as well as their co-occurrence (P<0.001). Among elderly individuals with chronic diseases, social deprivation and its dimensions were associated with the co-occurrence of anxiety and depression symptoms (P<0.001).

Multidimensional social deprivation is a risk factor for anxiety and depression symptoms in the elderly. Targeted interventions to reduce social deprivation are recommended to improve the mental health of older adults.

To investigate the protective effect of ursula acid (UA) supplementation on alcoholic liver injury and to clarify the role of gut microbiota through fecal microbiota transplantation (FMT) experiments, as well as to explore the underlying mechanisms.

Eight-week-old C57BL/6 mice were randomly divided into a normal control group, an alcohol model group, and a UA intervention group, with six mice in each group. During the 8-week modeling period, fecal samples from each group were collected daily for the last two weeks to prepare fecal microbiota solutions. After the recipient mice underwent gut-derived bacterial clearance, they were randomly assigned to FMT-control, FMT-model, and FMT-UA groups. Starting from the seventh week, each group received daily gavage of 200 μl of the corresponding fecal microbiota solution for two weeks.Hematoxylin-Eosin (HE) staining was used to observe the histopathological changes in liver tissues of the mice, and colorimetric assays were performed to measure serum levels of aspartate aminotransferase (AST), alanine aminotransferase (ALT), and total bile acid (TBA). The changes in gut microbiota of donor mice were analyzed by 16S rRNA gene sequencing, and Western blotting (WB) was used to detect the expression levels of Foresaid X receptor (FXR) protein in the liver of recipient mice.Statistical analysis was conducted using SPSS 22.0, with a significance level (α) set at 0.05.

Compared to the alcohol model group, UA intervention improved liver injury in mice with alcoholic liver damage, evidenced by a 39.3% reduction in serum ALT activity (P < 0.05) and a 16.7% reduction in AST activity (P < 0.05), while also restoring the diversity of gut microbiota. The liver pathology of recipient mice exhibited changes similar to those of donor mice. Analysis of ALT, AST, and TBA levels in recipient mice revealed that, compared to the FMT-control group, the serum ALT, AST, and TBA levels in the FMT-model group increased by 124%, 47.4%, and 97.5%, respectively (P < 0.05); the FMT-UA group showed significant reductions in ALT, AST, and TBA levels compared to the FMT-model group (P < 0.05). WB results indicated that FXR protein expression in the liver tissue of the FMT-model group was only 17.8% of that in the FMT-control group (P < 0.05); compared to the FMT-model group, the FXR protein expression in the liver of the FXR-UA group increased by 2.09 times (P < 0.05).

UA exhibits a protective effect against alcoholic liver injury in mice, and its mechanism may be associated with the regulation of gut microbiota and the modulation of liver FXR protein expression, thereby maintaining bile acid homeostasis.

Based on the known interaction between OPC-167832 and the DprE1 protein, this study aims to establish an evaluation method for the antituberculosis drug activity targeting the key metabolic enzyme DprE1 of Mycobacterium tuberculosis.

First, the DprE1 protein was expressed using the pET28a-Rv3790 vector, and the molecular chaperone CPN60.2 of Mycobacterium tuberculosis was expressed using the pGro7-Rv0440 vector. Both vectors were co-transformed into E. coli BL21 for DprE1 protein expression. The target protein was purified via Ni-NTA affinity chromatography and identified using LC-MS mass spectrometry. Secondly, the direct interaction between the DprE1-targeting inhibitor and DprE1 was assessed using isothermal titration calorimetry (ITC). Finally, computational simulation techniques were employed to dock OPC-167832 with the DprE1 protein.

The pET28a-Rv3790 and pGro7-Rv0440 expression vectors were successfully constructed, leading to the expression and purification of soluble DprE1 protein. ITC results indicated a significant heat change upon the binding of DprE1 to OPC-167832. Molecular docking results revealed that the hydrogen bond binding site of OPC-167832 with DprE1 was primarily located at Pro316, while the binding sites for the fluorinated hydrogen bond were His132 and Asn364.

The soluble DprE1 protein was successfully expressed, and its interaction with OPC-167832 resulted in a measurable heat change. This confirms the successful establishment of an evaluation method for the antituberculosis drug activity targeting the key metabolic enzyme DprE1 of Mycobacterium tuberculosis. This study provides an experimental basis and methodological support for the activity evaluation of DprE1-targeting inhibitors against Mycobacterium tuberculosis.

To describe the trends in treatment and diagnosis delays for tuberculosis patients in Xizang from 2014 to 2023 and to explore the influencing factors, providing a scientific basis for tuberculosis prevention and control in Xizang.

Tuberculosis patients diagnosed between 2014 and 2023 in Xizang were selected from the “Tuberculosis Management Information System” sub-system of the “China Disease Prevention and Control Information System”. The factors influencing treatment and diagnosis delays were analyzed using univariate χ² tests and multivariate logistic regression analysis.

Among the 34 469 reported tuberculosis patients in Xizang from 2014 to 2023, the median (interquartile range) time from symptom onset to first consultation (treatment delay) was 24 (10, 46) days, with a treatment delay rate of 67.5%; the median (interquartile range) time from first consultation to diagnosis (diagnosis delay) was 0 (0, 1) days, with a diagnosis delay rate of 7.6%. The treatment delay rate showed a downward trend from 2014 to 2023 (trend χ²=1 798.083, P<0.001), while the diagnosis delay rate exhibited an upward trend (trend χ²=197.689, P<0.001). Multivariate logistic regression analysis indicated that being aged ≤20 years, 21-40 years, having local residency, undergoing health examinations, lacking microbiological results, and the first consultation being in Lhasa, Linzhi, Naqu, or Ali regions were protective factors for treatment delay.Seeking treatment based on symptoms, referrals, being a farmer or herdsman, being a child or student, and the first consultation being in Shigatse or Changdu were risk factors for treatment delay. Recommendations based on symptoms and first consultation in Shigatse, Changdu, or Naqu were protective factors for diagnosis delay. Local residency and first consultation in Lhasa were risk factors for diagnosis delay.

There is a serious delay in treatment among tuberculosis patients in Xizang, while the level of diagnosis delay is relatively low. It is recommended to enhance tuberculosis awareness and education among key populations and improve the diagnostic and treatment capabilities of grassroots medical institutions to reduce delays in treatment and diagnosis for tuberculosis patients.

To understand the burden of foodborne diseases caused by Vibrio parahaemolyticus in Liaoning Province and to clarify the risk associated with different types of food, thereby assisting in foodborne disease prevention efforts.

Using surveillance data of foodborne disease cases from 2014 to 2023 in Liaoning Province, the population level of foodborne diseases burden caused by Vibrio parahaemolyticus was estimated using the disease burden pyramid model. The main food types contributing to Vibrio parahaemolyticus infections were also classified by attributable risk.

Based on active surveillance data from sentinel hospitals, the multiple factor for Vibrio parahaemolyticus infections was found to be 86.50,indicating that for every reported case, approximately 87 cases occurred within the coverage area of the sentinel monitoring hospitals. Utilizing provincial case data, the multiple factor was 428.37 (95% CI: 424.05-432.62), suggesting that for each reported case, around 428 cases occurred across the province. It was estimated that from 2014 to 2023, there were a total of 440 448 (95% CI: 421 202-460 607) cases of Vibrio parahaemolyticus infections in Liaoning Province, with an annual incidence rate of approximately 103.41 per 100 000 people (95% CI: 98.85-108.11). Risk classification for various food items indicated that seafood posed the highest risk, accounting for 50.20% of infections, with shellfish being the highest-risk food type, followed by shrimp and watermelon.

Based on the multiple factor; it can be concluded that the burden of Vibrio parahaemolyticus infections in Liaoning Province is slightly higher than in other coastal regions. Seafood, particularly shellfish, is the primary cause of foodborne diseases associated with Vibrio parahaemolyticus in Liaoning Province. Continued enhancement of prevention and education efforts targeting key populations and regions is necessary to guide residents in the proper consumption of seafood, as well as to improve disease burden assessment work.

To investigate the mediating effect of prefrontal cortex volume in the association between long-term exposure to air pollution and the incidence of Type 2 Diabetes (T2DM), providing a basis for alleviating the burden and understanding the etiology of T2DM.

Utilizing data from the UK Biobank cohort, we analyzed the relationships among four air pollutants, eight prefrontal cortex volumes, and T2DM using multiple linear regression and logistic regression models. A multiple mediation analysis was conducted to estimate the overall mediating effect of the eight prefrontal cortex volumes.

A total of 26 624 participants were included in the study, with a T2DM incidence rate of approximately 2.0%. There was an overall negative correlation between air pollutant concentrations and prefrontal cortex volume. Increased concentrations of air pollutants were associated with a higher risk of T2DM; specifically, for every 1 standard deviation increase in PM_2.5 concentration, the odds ratio (OR) (95% confidence interval [CI]) was 1.062 (1.003-1.159). Decreased volumes of the right medial prefrontal cortex, left superior frontal gyrus, bilateral orbital frontal cortex, and right frontal pole were associated with increased T2DM risk, with OR (95%CI) values of 0.869 (0.755-0.949), 0.808(0.745-0.925), 0.897 (0.815-0.988), 0.823 (0.738-0.917), and 0.881 (0.796-0.974), respectively. The volume of the prefrontal cortex mediated the association between the four air pollutants and T2DM risk.

The study indicates that increased air pollutant concentrations elevate the risk of T2DM, and prefrontal cortex volume may serve as a significant mediating factor in the relationship between air pollution and T2DM. Reducing exposure to air pollutants and targeted interventions addressing factors affecting brain vitality, such as sleep and exercise, may effectively prevent the occurrence and progression of T2DM.

To investigate the prevalence of dyslipidemia and its influencing factors among the elderly in Pidu District.

An analysis was conducted on health examination data from permanent residents aged 65 and older in Pidu District from 2022 to 2023. The comparison of rates was performed using the chi-square test, and multivariate logistic regression analysis was employed to explore the risk factors associated with dyslipidemia. The significance level was set at α=0.05.

A total of 110 992 elderly individuals completed all examination items in Pidu District during 2022 and 2023, including 48 956 males (44.1%) and 62 036 females (55.9%), with an average age of (71.9±5.9) years. The detection rates of dyslipidemia, elevated total cholesterol (TC), elevated triglycerides (TG), elevated low-density lipoprotein cholesterol (LDL-C), and decreased high-density lipoprotein cholesterol (HDL-C) were 30.3%, 16.1%, 15.5%, 7.3%, and 5.6%, respectively. Female gender (OR=1.48, 95%CI: 1.43-1.54),smoking (OR=1.09, 95%CI: 1.04-1.14), overweight (OR=1.97, 95%CI: 1.80-2.16), obesity (OR=2.05, 95%CI: 1.86-2.26), central obesity (OR=1.23, 95%CI: 1.19-1.27), and lack of exercise (OR=1.18, 95%CI: 1.14-1.22) were identified as risk factors for dyslipidemia among the elderly in Pidu District. Conversely, being a rural resident (OR=0.84, 95%CI: 0.81-0.86) and being aged 80 years or older (OR=0.76, 95%CI: 0.73-0.79) were identified as protective factors.

It is essential to implement gender-sensitive management for the elderly, enhance health education related to overweight, obesity, and central obesity, and strengthen weight management among the elderly, while promoting daily exercise and smoking cessation.