To explore the categories of depression among college students and their influencing factors.

A cluster convenience sampling method was employed, utilizing a depression scale and an online social exclusion questionnaire to conduct a longitudinal study over four months at two time points, involving 2 000 college students from seven universities across Jiangsu, Henan, Fujian, Gansu, Liaoning, Heilongjiang provinces, and the Inner Mongolia Autonomous Region. Latent transition analysis was used to investigate the latent categories of depression among college students and the probabilities of transitions between these categories.

The overall incidence of depression among college students showed a declining trend. College students’ depression can be classified into two latent categories: low depression symptom group and high depression symptom group. The high depression symptom group exhibited the strongest stability, with a probability of maintaining the original latent state at 92.4%. The probability of transition from the low depression symptom group to the high depression symptom group was 52.7%, while the probability of transition from the high depression symptom group to the low depression symptom group was 7.6%. Gender (OR=0.73, 95%CI: 0.57-0.93), age (OR=0.88, 95%CI: 0.79-0.98), and online social exclusion (OR=1.94, 95%CI: 1.56-2.41) were identified as significant influencing factors in college students’ depression and its category transitions.

There are two latent categories of depression among college students, which change over time and are influenced by various factors.

To analyze the depression status and its influencing factors among elderly patients with dyslipidemia comorbidity in China.

Utilizing data from the 2018 China Health and Retirement Longitudinal Study (CHARLS), we selected individuals aged 60 and above suffering from two or more chronic diseases, including dyslipidemia, to calculate the prevalence of depressive symptoms. A multivariate logistic regression analysis was conducted to explore the influencing factors of depressive symptoms.

A total of 1 120 elderly patients with dyslipidemia comorbidity were included in this study, with a prevalence of depressive symptoms at 46.79%. The multivariate logistic regression analysis revealed that living in rural areas (OR=2.121, 95%CI: 1.475-3.050) and having physical functional impairments (OR=1.053, 95%CI: 1.035-1.072) were risk factors for depression. Conversely, self-rated health (OR=0.782, 95%CI: 0.641-0.955), daily sleep duration (OR=0.835, 95%CI: 0.776-0.899), life satisfaction (OR=0.653, 95%CI: 0.522-0.816), health satisfaction (OR=0.676, 95%CI: 0.554-0.826), and spousal relationship satisfaction (OR=0.691, 95%CI: 0.572-0.835) were identified as protective factors against depression.

The prevalence of depression among elderly patients with dyslipidemia comorbidity in China is notably high. There is a need to enhance the assessment of depressive symptoms in these patients, particularly focusing on those in rural areas and those with physical functional impairments, to safeguard their mental health.

To investigate the impact of intergenerational support on cognitive function among the elderly in China.

Data from the 2020 China Health and Retirement Longitudinal Study (CHARLS) were utilized, and statistical analysis was performed using SPSS 27.0. Both univariate analysis and multiple linear regression analysis were conducted to assess the effects of intergenerational support on the cognitive function of individuals aged 60 and above.

A total of 4 154 participants were included in the study. The findings indicated a positive correlation between cognitive function in the elderly and both bidirectional economic support from children and emotional comfort provided by them. However, the frequency of interaction between the elderly and their children did not show a statistically significant difference in cognitive function scores. The multiple linear regression model equation was as the following: Cognitive function score = 31.003 + 1.138 * log (child economic support) + 0.996 * log (parental economic support) - 0.173 * age - 12.939 * [education = no formal education (illiterate)] - 5.578 *(education = primary school or informal education) + 1.137 * (marital status = married) + 1.118 * (pension insurance = yes) +3.276 * (social health insurance = yes) - 3.541 * (daily living ability impaired = yes).

It is essential to maintain communication and interaction between generations. Communities and the government should integrate intergenerational support into preventive health care and elderly care policies as a robust support for “healthy aging”.

To analyze the significance of various factors affecting depression in middle-aged and elderly individuals, as well as the association between different demographic characteristics and depression based on the theory of social determinants of health, providing a reference for improving the physical and mental health of this population.

Using data from the 2020 China Health and Retirement Longitudinal Study, the research focused on individuals aged 45 and above. A random forest model was employed to rank the importance of factors influencing depression in this demographic, and association rule mining was conducted to analyze population characteristics.

The depression rate among middle-aged and elderly individuals was 34.7%. The random forest model indicated that the top 11 variables influencing depression, ranked by their Mean Decrease Accuracy (MDA) values, were as follows: impaired Activities of Daily Living (ADL) (20.24%), chronic diseases(19.12%), social participation (18.72%), medical insurance (18.10%), age (16.77%), self-rated health status (15.31%), emotional support (11.91%), economic support (10.80%), internet usage (10.67%), education level (9.97%), and sleep duration(9.77%) (P<0.05). The results of association rule mining revealed that the combination of impaired ADL, chronic diseases, age ≥ 66 years, lack of medical insurance, and sleep duration < 7 hours significantly increased the risk of depression in middle-aged and elderly individuals, with a support of 20.740% and a confidence of 77.786%, indicating a risk 3.751 times greater than those without these characteristics.

The factors influencing depression in middle-aged and elderly individuals are multidimensional. Impaired ADL, chronic diseases, age ≥ 66 years, lack of medical insurance, and sleep duration < 7 hours are critical factors affecting depression. Screening for these key factors can identify high-risk populations, thereby reducing the risk of depression and improving the mental health levels of middle-aged and elderly individuals.

To explore the relationships among various influencing factors of cognitive function in elderly patients with chronic musculoskeletal pain of the elderly(CMPE) based on structural equation modeling.

From November 2023 to June 2024, a convenience sampling method was used to select 510 hospitalized CMPE patients at the Sixth Affiliated Hospital of Xinjiang Medical University for a questionnaire survey. Multiple linear stepwise regression and structural equation modeling (SEM) were employed to analyze the influencing factors of cognitive function in CMPE patients.

The average cognitive function score of the 510 CMPE patients was (24.84±3.792). The SEM analysis revealed that chronic disease status, age, depression, and pain scores had negative direct effects on cognitive function, with effect values of -0.422 (95%CI: -0.668 to-0.268), -0.357 (95%CI: -0.449 to -0.226), -0.146 (95%CI: -0.226 to -0.066), and -0.141 (95%CI: -0.239 to -0.084), respectively. Educational level and social support had positive direct effects on cognitive function, with effect values of 0.201(95%CI: 0.179 to 0.313) and 0.148 (95%CI: 0.096 to 0.260). Among these, educational level, social support, and pain scores exhibited both direct and indirect effects on cognitive function, with total effect values of 0.243 (95%CI: 0.179 to 0.313), 0.175(95%CI: 0.096 to 0.260), and -0.160 (95%CI: -0.239 to -0.084), respectively.

Cognitive function in CMPE patients requires improvement. Medical institutions should conduct cognitive screenings and interventions early to reduce the risk of cognitive impairment and delay the onset of dementia.

To investigate the longitudinal relationship between physical function, impairment in activities of daily living, and depressive symptoms among middle-aged and older adults in China, as well as to explore the mediating role of self-rated health.

Data from the China Health and Retirement Longitudinal Study (CHARLS) national cohort from 2013 to 2020 were analyzed, including 7 899 participants aged 45 and older. The Cox proportional hazards regression model was employed to analyze the longitudinal association between impairment and depressive symptoms. The Process macro model 4 was used to construct the model, examining the mediating effect of self-rated health, with the Bootstrap method applied to test the significance of the mediation effect.

After adjusting for confounding factors, the Cox proportional hazards regression results indicated that the risk of depressive symptoms for individuals with only physical function impairment, only activities of daily living impairment, and dual impairment was 1.408 times (95%CI: 1.284-1.543), 1.447 times (95%CI: 1.166-1.795), and 1.825 times (95%CI: 1.636-2.034) higher, respectively, compared to those without impairment (P<0.001). Self-rated health played a significant partial mediating role in the relationship between the two, with the effect size being the largest in the group with only physical function impairment at 24.29%, followed by the dual impairment group at 17.02%, and the group with only activities of daily living impairment at 12.15%.

There is a longitudinal relationship between physical function, activities of daily living impairment, and depressive symptoms among middle-aged and older adults. Additionally, self-rated health serves as a partial mediator in this relationship. Implementing targeted interventions to delay the aging of physical functions and improve self-rated health can effectively control the occurrence and progression of depression in this population, facilitating a shift towards preventive measures.

To establish a method for detecting four arsenic species—As (III), DMA, MMA, and as (V)—in seafood using liquid chromatography-atomic fluorescence spectrometry (LC-AFS).

The detection conditions were optimized, including the type and concentration of the carrier liquid, concentration of potassium borohydride, lamp current, negative high voltage, mobile phase concentration, and pH. Parameters of the established detection method were evaluated, including linear range, accuracy, precision, and detection limit.

Under the conditions of 5% hydrochloric acid, 5 g/L sodium hydroxide-20 g/L potassium borohydride, a negative high voltage of 270 V, lamp main current of 60 mA, mobile phase A as ammonium dihydrogen phosphate (1 mmol/L, pH 8.5), and mobile phase B as ammonium dihydrogen phosphate (25 mmol/L, pH 8.0), the linear range for As(III), DMA, MMA, and As(V) was 0-100 μg/L, with correlation coefficients exceeding 0.999. The relative standard deviation (RSD) for retention time ranged from 0.2% to 1.2%, while the RSD for peak area ranged from 2.1% to 4.4%. The recovery rate for spiked samples was between 81.2% and 111.6%.

The method demonstrates high sensitivity, accuracy, and precision, with a short analysis time and high detection efficiency, while requiring minimal reagent usage, yielding satisfactory results.

To understand the epidemiological characteristics and pathogen spectrum changes of severe hand, foot, and mouth disease (HFMD) in Jiangxi Province, and to grasp the trend changes in different time periods and populations, providing a scientific basis for the formulation and optimization of HFMD epidemic prevention and control strategies.

A descriptive analysis of the monitoring data of severe HFMD in Jiangxi Province from 2008 to 2023 was conducted, and the Join point regression model was used to analyze the characteristics and trend changes in incidence by year and gender.

From 2008 to 2023, a total of 2 281 severe cases were reported in Jiangxi Province, with laboratory-confirmed cases accounting for 73.26%. The proportion of severe cases decreased from 17.12‰ in 2010 to 0.15‰ in 2023 (APC = -34.74%). The peak incidence occurred from April to July, with a male-to-female ratio of 2.13:1, primarily affecting children under three years old(86.45%). The overall trend in the proportion of severe cases among males and females was consistent, with both showing a year-on-year decline from 2010 to 2023; however, the average annual reduction was greater in females (37.86%) than in males(32.84%). EV-A71 was the dominant strain among laboratory-confirmed cases (79.89%), but the proportion of other enteroviruses significantly increased.

Since 2010, the incidence of severe HFMD in Jiangxi Province has shown a year-on-year declining trend. EV-A71 remains the dominant pathogen, but it has not been detected since 2017; thus, there is a need to strengthen genetic typing of other enteroviruses in severe cases. Children under three years old are the key target for intervention, and targeted measures should be implemented to reduce the risk of infection in this population.

To investigate the epidemiological trends of high-risk human papillomavirus (HR-HPV) in Toli county, Xinjiang, using a transmission dynamics model, and to quantitatively assess the impact of bivalent vaccine interventions, to provide a reference for the prevention of HR-HPV infections and vaccination strategies.

A transmission dynamics model was established based on the natural history of HPV infection. Data on cervical cancer screening in Toli county were collected, and simulations were conducted under scenarios of no intervention and bivalent vaccine coverage rates of 50%, 60%, and 70%to predict the infection rates, peak infection values, and the number of cancer patients. The future trends of infections and cervical cancer patients over the next 20 years were also forecasted.

A total of 12 549 women underwent cervical cancer screening, with 1 744 cases of HR-HPV infection, resulting in a cumulative infection rate of 13.9%. In the absence of intervention, the predicted infection rate at the end of the study was 16.33%, with an estimated 1 914 infections and 294 cancer patients in a total population of 11 666. With bivalent vaccine coverage rates of 50%, 60%, and 70%, the predicted final infection rates were 15.31%, 15.07%, and 14.82%, respectively, with corresponding numbers of cervical cancer patients being 185, 164, and 142, and total populations of 11 949, 12 005, and 12 061, respectively. Sensitivity analysis of key parameters indicated that a higher clearance rate was more effective in reducing the number of infections, and a lower rate of recovered individuals becoming susceptible again led to fewer infections.

Implementing vaccination and increasing coverage rates can reduce the number of HR-HPV infections and cervical cancer patients in Toli county, which may help mitigate the decline in the total population. Emphasis should be placed on measures to improve clearance rates when preventing HR-HPV infections, as the effectiveness of further increasing clearance rates on infection control will gradually diminish.

To understand the current state of awareness regarding syphilis prevention and control among MSM college students in Guiyang and to analyze related factors.

From September 2022 to October 2023, an anonymous electronic questionnaire survey was conducted among MSM college students recruited through MSM social organizations in Guiyang. The Chi-squared test was used to compare the awareness rates of syphilis prevention and control knowledge among MSM college students with different characteristics, and a multifactorial logistic regression model was employed to analyze the related factors affecting awareness.

A total of 567 valid questionnaires were collected. The awareness rate of syphilis prevention and control knowledge among the study participants was 78.7%. Multifactorial analysis indicated that awareness of syphilis prevention and control knowledge among MSM college students was positively associated with urban household registration (OR=2.554, 95%CI: 1.662-3.923), medical-related majors (OR=3.025, 95%CI: 1.232-7.432), average monthly expenditure ≥ 2 000 yuan (OR=3.416, 95%CI: 1.565-7.455), and having received peer education in the past year (OR=2.554, 95%CI: 1.662-3.923); it was negatively associated with having engaged in sexual behavior after drinking in the past six months (OR=0.501, 95%CI: 0.289-0.868).

The current awareness rate of syphilis prevention and control knowledge among MSM college students in Guiyang falls short of the target rate of 95%. Future efforts should focus on enhancing educational outreach regarding syphilis prevention and control knowledge among MSM college students, particularly targeting subgroups with lower awareness rates. Interventions could include or combine peer education strategies for this population.