To explore the mediating effect of depressive symptoms on the relationship between handgrip strength and activities of daily living (ADL) in older adults, so as to provide a reference for the prevention and intervention of ADL impairment in this population.

Based on the 2015 survey data from the China Health and Retirement Longitudinal Study (CHARLS), a study was conducted involving 2 344 seniors aged 60 and above. Descriptive analysis and partial correlation analysis were conducted using SPSS 25.0, and the PROCESS macro program was employed to test for mediation effects.

The detection rate of low handgrip strength among elderly individuals in our country is 20.09%, the detection rate of depressive symptoms is 34.94%, and the rate of Activities of Daily Living (ADL) impairment is 20.95%. Handgrip strength is negatively correlated with depressive symptoms (r=-0.055, P<0.01); handgrip strength is also negatively correlated with ADL impairment (r=-0.143, P<0.001), while depressive symptoms are positively correlated with ADL impairment (r=0.259, P<0.001). Depressive symptoms have a partial mediating effect between handgrip strength and ADL in the elderly, with the mediation effect accounting for 12.68%.

Handgrip strength can have a significant impact on the activities of daily living (ADL) of older adults due to symptoms of depression, highlighting the importance of self-exercise for this demographic. Interventions that combine improvements in handgrip strength with a reduction in the risk of depressive symptoms may be effective in maintaining the daily living capabilities of older individuals.

To investigate the correlation between online dating and the occurrence of risky sexual behaviors among transnational migrant populations, and to provide scientific evidence for preventing the spread of human immunodeficiency virus(HIV) among transnational migrant populations.

The snowball sampling method was adopted to collect data on transnational migrant populations residing in China. The initial survey seeds were from Yiwu, Guangzhou, Beijing and Hangzhou. Demographic information and data related to sexual behaviors (including the number of casual sexual partners, dating methods, the frequency of condom use, etc.) were collected through questionnaires. The multivariate logistic regression model was used to analyze the correlation between dating methods and risky sexual behaviors.

A total of 341 people were surveyed, with 199 people using condoms consistently, accounting for 58.36%; 99 people using condoms sometimes, accounting for 29.03%; and 43 people never using condoms, accounting for 12.61%. 112 people had multiple casual partners, accounting for 32.84%; and 229 people had only one casual partner, accounting for 67.16%. 48 people met their casual partners through online dating, accounting for 14.08%; and 293 people met their casual partners through non-online dating, accounting for 85.92%. The multivariate logistic regression analysis showed that compared with those who met their casual partners through online dating, those who met their casual partners through non-online dating had a higher probability of using condoms consistently (OR value of 3.358, 95% CI of 1.184-9.522).

Unprotected sexual behaviors among transnational migrant populations are associated with online dating.

To develop a liquid-liquid extraction combined with ultra-high performance liquid chromatography-tandem triple quadrupole mass spectrometry (LLE-UHPLC-MS/MS) method for simultaneous determination of nine monoester phthalate metabolites (mPAEs) in urine.

1 ml urine sample was subjected to enzymatic hydrolysis by the addition of ammonium acetate solution and β-glucuronidase at 37 °C on a shaker for 16 h. Subsequently, 20 μl of formic acid was added and thoroughly mixed. Liquid-liquid extraction was performed with 3 ml of ethyl acetate, then the mixture was centrifuged and the supernatant was concentrated under nitrogen flow. The residue was reconstituted with 0.20 ml of acetonitrile-water solution (50∶50, v/v). Chromatographic separation was performed on a BEH C18 column (2.1 mm×100 mm, 1.7 μm) using a mobile phase of 0.10% acetic acid in acetonitrile and 0.10% aqueous acetic acid. Analytes were ionized via electrospray ionization (ESI) in negative ion mode and detected by multiple reaction monitoring (MRM), and quantification was achieved through the internal standard curves.

Good linear relationship was obtained for the analytes within 0.50 to 200 ng/ml, with correlation coefficients greater than 0.999. When 1 ml of urine sample was utilized for analysis, the detection limits and the quantitation limits of the method were 1.5×10^-3 to 0.29 ng/ml and 4.9×10^-3 to 0.98 ng/ml, respectively. The recovery rates of the method ranged from 87.05% to 111.5%, with intra-day relative standard deviations of 0.31% to 3.05%, and inter-day relative standard deviations of 0.59% to 3.46%. The nine monophthalates in 277 urine samples from healthy individuals were determined by the proposed method. Except for mono-benzyl phthalate (MBzP), which had a detection rate of 87.73%, the detection rates of other monophthalates were 100%. Mono-butyl phthalate (MnBP) had the highest median concentration of 194.10 μg/g creatinine, while MBzP had the lowest median concentration of 3.7×10^-2 μg/g creatinine.

The established method for simultaneous determination of 9 monophthalates in urine samples was simple, sensitive, and accurate, which is suitable for the accurate exposure assessment of these substances in urine.

To analyze the trend of Colon and rectum cancer (CRC) burden attributable to low physical activity in China from 1990 to 2021, and to provide a reference for the development of effective public health strategies and healthcare resource allocation.

Relying on the Global Burden of Disease Study 2021 database, this study focused on the data of CRC burden attributable to low physical activity, including death and disability-adjusted life years (DALYs), among people ≥25 years old in China. Joinpoint regression was used to analyze the trends and turning points of disease burden changes, age, period and cohort effects of mortality were estimated with the age-period-cohort model, and autoregressive integral moving average (ARIMA) model was used to predict the disease burden dynamics in 2022-2030.

Between 1990 and 2021, the number of deaths, crude death rate, number of DALYs, and crude DALY rate attributable to low physical activity for CRC in China increased, with the number of deaths rising from 5 735 to 16 698, and the crude death rate from 0.78/100 000 to 1.53/100 000; the number of DALYs increased from 128 353 to 320 464 years. Crude DALY rate increased from 17.55/100 000 to 29.44/100 000.Joinpoint analysis showed that the mortality and DALY rates were increasing; the total population had a fluctuating downward trend in the standardized mortality rate and the standardized DALY rate, with an average annual percentage change of -0.21%(P>0.05) and -0.29(P<0.05) for males and females, respectively. Gender differences were observed in age-standardized mortality and DALY rate trends. The age effect showed that the CRC mortality rate attributable to low physical activity basically increased with age in China, and the relative risk (RR) ranged from 0.04 to 10.75 in each age group; the period effect showed that the mortality rate monotonically increased with the period, and the RR ranged from 0.69 to 1.59 in each period; and the cohort effect showed that the mortality rate progressively decreased with the development of birth cohorts, and the RR of each birth cohort ranged from 0.25 to 5.23. The differences in the effects between genders were not significant.The ARIMA model showed that the burden will continue to increase in China from 2022 to 2030.

The burden of CRC attributable to low physical activity in China showed a significant upward trend from 1990 to 2021, with gender differences. The age, period, and cohort effects of its mortality risk are evident. Targeted measures are urgently needed to effectively curb the rising disease burden.

To construct and validate a prediction model for high-risk sexual behaviors among rural residents aged 50 and above, in order to achieve early identification of high-risk groups and provide a scientific basis for the formulation of precise intervention measures.

From February to April 2024, 50-year-old and above permanent residents were conveniently sampled in rural areas of Luzhou City, Sichuan Province as the modeling group. From May to June, residents of the same age group were selected in rural areas of Liangshan Yi Autonomous Prefecture using the same method as the validation group. LASSO regression was used to screen variables, and then Logistic regression analysis was conducted on the screened variables. Variables with a P value less than 0.05 were used to construct a prediction model, and its predictive performance was evaluated.

The incidence rate of high-risk sexual behavior in this study was 28.52% (154/540).The predictive model included five predictive factors: gender, sexual behavior under the influence of alcohol, history of sexually transmitted disease infection, having a regular sexual partner, and social support, providing a scientific basis for the prediction of high-risk sexual behavior. The area under the ROC curve of the predictive model in the modeling group and the validation group was 0.940(95% CI:0.914-0.965) and 0.971(95% CI:0.951-0.992), respectively. The calibration curves showed good consistency, and the P values of the Hosmer-Lemeshow test were all greater than 0.05.The DCA had high positive yield between 1%-93% and 2%-98%, respectively.

The prediction model based on LASSO-Logistic regression analysis demonstrated good predictive performance and potential for practical application.

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

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

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

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

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

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

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

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

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

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

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

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

To explore the external influencing factors of undergraduates’degree of satisfaction withthe Bachelors’program in preventive medicine, so as to provide a reference for improving the quality of public health higher education.

Data were obtained from the Ministry of Education’s Yangguang Gaokao information platform. The outcome variables included overall satisfaction, satisfaction with campus facilities, satisfaction with teaching quality, and satisfaction with employment outcomes. Multilevel linear regression models were employed to analyze influencing factors.

Among the 87 included universities, the average overall satisfaction score was 3.94±0.41, with employment satisfaction receiving the lowest average score of 3.61±0.52. Institutions in the eastern region reported the highest levels of satisfaction, while those in the western region reported the lowest. Regression analysis revealed that universities with preventive medicine subjects ranked in the top 50% had significantly lower levels of overall satisfaction (β=-0.299, 95% CI: -0.545 to -0.053), campus facilities satisfaction (β=-0.273, 95% CI: -0.523 to -0.022), and employment satisfaction (β=-0.379, 95% CI: -0.671 to -0.087). In models incorporating interaction terms, the development level of the Healthy China initiative in eastern regions was found to have a significantly negative effect on satisfaction compared to the western region (overall satisfaction: β=-0.861, 95% CI: -1.655 to -0.067), whereas per capita GDP had a significantly positive effect on satisfaction (overall satisfaction: β=0.089, 95% CI: 0.013 to 0.166).

Institutional preventive medicine ranking was negatively associated with student satisfaction. The provincial health system and economic levels showed varying influences on student satisfaction across different regions.