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 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 analyze the occurrence, regional distribution characteristics, ranking of diseases, and disease spectrum of birth defects in perinatal infants in Xinjiang from January 2019 to December 2022.

Retrospective data were collected from the maternal and child health monitoring data reporting system of the Xinjiang Autonomous Region via the maternal and child health cloud platform, covering all cases of birth defects among infants born in monitoring hospitals from January 2019 to December 2022, specifically those born after 28 weeks of gestation and within 7 days post-delivery, totaling 6 983 cases. General information on mothers, delivery conditions, and general information on infants with birth defects, as well as perinatal outcomes, were collected. Descriptive analysis of the monitoring data on birth defects in Xinjiang from 2019 to 2022 was conducted using incidence rates, composition ratios, χ² tests, and χ² trend tests.

The average annual incidence rate of birth defects in Xinjiang from 2019 to 2022 was 230.103 per 100 000 births, with the incidence rate remaining relatively stable over the four years (χ²=4.757, P=0.190). Significant differences in the incidence rates of birth defects were observed between different regions (χ²=3 039.965, P<0.001). Variations in incidence rates were also noted based on perinatal sex (χ²=37.386, P<0.001), maternal age (χ²=76.313, P<0.001), and urban-rural status (χ²=1 478.493, P<0.001). The top five birth defects identified were congenital heart disease, polydactyly, clubfoot, other malformations of the external ear, and cleft lip.

The incidence of birth defects in Xinjiang remains at a high level, necessitating proactive measures for comprehensive preconception, prenatal, and postnatal prevention and control. Enhancing the quality of maternal and child healthcare during pregnancy and childbirth and promoting prenatal screening and diagnostic techniques across regions are essential to reduce the incidence of birth defects as much as possible.

To explore the association between the Sleep Regularity Index (SRI) and central obesity, as well as the differences among different age and gender groups, to provide a reference for research on sleep regularity and central obesity in the population.

A questionnaire survey and objective sleep monitoring were conducted among individuals aged 40 to 65 who underwent health check-ups at the First People’s Hospital of Fuquan city from March to November 2022, ultimately including 522 participants with complete data. The association between SRI and the risk of central obesity was assessed using a non-conditional binary logistic regression model and restricted cubic splines, along with subgroup analyses based on gender and age.

Among the participants included in the study, 331 individuals (64.41%) were classified as having central obesity. After adjusting for confounding variables, the results from the restricted cubic splines indicated that when the SRI score exceeded 72.67, the risk of central obesity gradually decreased with increasing SRI scores. The non-conditional binary logistic regression model revealed that individuals with more regular sleep patterns had a lower risk of central obesity compared to those with severely irregular sleep patterns. Compared to the lowest SRI quartile (Q1), the odds ratios (OR) for Q3 and Q4 were 0.56(95%CI: 0.32-0.99) and 0.51 (95%CI: 0.29-0.90), respectively. Subgroup analyses showed that in male participants and those aged 50 and above, the risk of central obesity decreased with more regular sleep patterns. In males, compared to Q1, the OR for Q3 was 0.41 (95%CI: 0.19-0.91) and for Q4 was 0.37 (95%CI: 0.16-0.86). In the population aged ≥50, the OR for Q3 was 0.41(95%CI: 0.19-0.89) and for Q4 was 0.31 (95%CI: 0.14-0.71). Sensitivity analyses yielded consistent results.

There is a certain association between sleep regularity, as assessed by the SRI and central obesity. Higher SRI scores are associated with a lower risk of developing central obesity, particularly in males and individuals aged 50 and above.

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 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.

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 relationship between cardiovascular-metabolic complications andbasic activity of daily living(BADL) and instrumental activities of daily living (IADL) in Chinese middle-aged and elderly individuals, and to explore the factors influencing different types of ADLs in this demographic with cardiovascular-metabolic complications.

The effects of cardiovascular-metabolic co-morbidities on ADLs among middle-aged and elderly individuals were investigated using the χ² test and logistic regression model in a sample of individuals aged 45 and older from the 2020 China Health and Elderly Care Tracking Survey.A randomized forest prediction model was developed to investigate the influencing factors of different types of activities of daily living in middle-aged and elderly people with cardiovascular-metabolic co-morbidities, and to predict the importance of each influencing factor.

Among China’s middle-aged and elderly population, 19.75% had at least one cardiovascular metabolic disease (CMD), and 4.18% had cardiovascular metabolic co-morbidities (CMM). The prevalence of BADL impairment was 15.90%, and that of IADL impairment was 17.32%.After adjusting for confounding factors like age and sex, middle-aged and older adults with cardiovascular metabolic co-morbidities had a higher risk of developing impaired ADLs compared to their counterparts without these co-morbidities (BADL: OR=1.662, 95% CI: 1.246-2.216; IADL: OR=2.186, 95% CI: 1.663-2.874).Age, depression, pain distress, life satisfaction, literacy, and participation in social activities were predictive of impaired BADL and IADL in older adults with multiple cardiovascular-metabolic co-morbidities, with good predictive modeling (BADL: AUC=0.804; IADL: AUC=0.761).

Middle-aged and older adults with multiple cardiovascular-metabolic co-morbidities are more likely to experience impairments in ADLs. Healthcare providers should consider the specific conditions and risk factors of this demographic and develop personalized, multidimensional intervention programs focusing on mental health, pain and chronic disease management, and life satisfaction enhancement to prevent ADL decline in those with cardiovascular-metabolic co-morbidities.

To systematically evaluate the incidence of self-harm behavior and self-harm ideation among HIV/AIDS patients, providing evidence-based support for effectively improving their mental health.

A comprehensive search of relevant studies was conducted in databases including CNKI, CBM, VIP, WanFang Data, PubMed, Embase, Cochrane Library, Web of Science, and PsyclNFO, covering literature up to August 20, 2024. Two researchers independently screened the literature, extracted data, and assessed the quality. Meta-analysis was performed using Stata 17.0 software.

A total of 9 studies were included, with a sample size of 17 414. Meta-analysis of the random effects model showed that the combined incidence of self-harm behaviors and self-harm ideation in HIV/AIDS patients was 12.3% (95% CI: 9.2%-15.4%), the incidence of self-harm behaviors was 12.4% (95% CI: 7.2%-17.6%), and the incidence of self-harm ideation was 13.3%(95% CI: 8.2%-18.5%). Subgroup analyses showed that the prevalence of self-harm behaviors and self-harm ideation was higher among HIV/AIDS patients in Asia and was higher in moderate-quality studies than in high-quality studies. In addition, higher prevalence rates were also observed in studies published before 2015, in people aged 18-24 years, and in studies with <50% males, but these results need to be interpreted with caution in conjunction with the results of the heterogeneity analysis.

The incidence of self-harm behavior and self-harm ideation is relatively high among HIV/AIDS patients, particularly in Asia. Further research is needed to validate differences among various groups and to develop effective intervention strategies.

To examine the relationship between the increase in chronic diseases, self-rated health, and depressive tendencies among middle-aged and older adults in China.

Using data from the 2015 and 2018 waves of CHARLS, this study investigated the mediating role of self-rated health and depressive tendencies in the relationship between the increase in chronic diseases among 12 637 Chinese adults aged 45 and above. The mediation analysis was conducted using the PROCESS 4.0 program and validated through the Bootstrap method.

The prevalence of depressive tendencies among Chinese adults aged 45 and above was 37.11%. After controlling for relevant variables, the increase in chronic diseases significantly impacted both self-rated health and depressive tendencies (c value: t = 30.984, P<0.001; a value: t=17.072, P<0.001). When self-rated health was introduced as a variable, both the increase in chronic diseases and self-rated health significantly affected depressive tendencies (c’ value: t=8.915, P<0.001; b value: t=30.629, P<0.001). Self-rated health partially mediated the relationship between the increase in chronic diseases and depressive tendencies, with the highest effect proportion of 47.74%.

The increase in chronic diseases among middle-aged and older adults can influence depressive tendencies through self-rated health. To reduce depressive tendencies in these patients, it is essential to effectively improve their self-rated health.