To verify the reliability and validity of the Simplified Coping Style Questionnaire (SCSQ) among firefighters in the Aba Tibetan and Qiang Autonomous Prefecture (referred to as “Aba Prefecture”) of Sichuan Province, and to make necessary revisions.

A total of 726 active firefighters from various fire brigades in Aba Prefecture were surveyed, and their demographic data were collected. The reliability and validity of the SCSQ was evaluated. The sample was randomly split into two halves, and both exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were conducted to explore the scale structure of this study and compare it with the original scale structure. The reliability was tested using Cronbach α coefficient and Spearman-Brown coefficient.

EFA extracted two common factors with 19 items, accounting for a cumulative variance contribution rate of 56.53%, with factor loadings ranging from 0.523 to 0.827. CFA results indicated that the structural validity of the revised SCSQ was satisfactory. The total Cronbach α coefficient for the revised scale was 0.884, while the Cronbach α coefficients for the two dimensions were 0.927 and 0.860, respectively, with odd-even split reliability coefficients of 0.905 and 0.820.

The revised Simplified Coping Style Questionnaire demonstrates good reliability and validity, making it an effective tool for assessing the coping style tendencies of firefighters in the Aba Tibetan and Qiang Autonomous Prefecture of Sichuan Province.

To analyze the current status and trends of the disease burden attributable to high fasting blood glucose related to tuberculosis in the elderly population of China from 1992 to 2021, and to conduct forecasts to provide references for the prevention and control of tuberculosis in this population.

Data on tuberculosis mortality and Disability-Adjusted Life Years (DALY) attributable to high fasting blood glucose from 1992 to 2021 were extracted from the 2021 Global Burden of Disease Study database. The percentage change in estimated annual disease burden was calculated to analyze trends. Comparisons were made from a global perspective and across different socio-demographic index (SDI) regions, employing the decomposition method established by Gupta to quantify changes in attributable mortality and DALY. The age-period-cohort (APC) model was utilized to analyze the risk of attributable mortality, while the Bayesian age-period-cohort (BAPC) model was used to predict standardized mortality rates and standardized DALY rates.

In 2021, the standardized mortality rate (2.03 per 100 000)and standardized DALY rate (46.95 per 100 000) for the elderly population in China were at a moderate level globally. The attributable mortality and DALY rates for males (2.81 per 100 000 and 70.97 per 100 000, respectively) were higher than those for females (1.04 per 100 000 and 24.21 per 100 000, respectively). From 1992 to 2021, both the standardized mortality rate and standardized DALY rate for the elderly population in China showed a declining trend, with a faster decline compared to different SDI regions. The combined contributions of population growth and aging to changes in attributable mortality and DALY were 112.50% and 109.01%, respectively, while the contributions from epidemiological changes were -170.58% and-158.48%. The APC model indicated that the risk of attributable mortality initially rose with age and then declined, as well as decreased over time and across birth cohorts. The BAPC model demonstrated superior predictive performance, forecasting a declining trend in both standardized mortality rates and standardized DALY rates from 2022 to 2030.

The disease burden attributable to high fasting blood glucose related to tuberculosis in the elderly population of China from 1992 to 2021 remains significant. The burden is greater in males than in females, with population growth and aging being driving factors for the increasing burden. Age, period, and cohort all influence the attributable disease burden, necessitating the implementation of comprehensive prevention and control measures tailored to the characteristics of the Chinese population.

To investigate the impact of air pollution on blood pressure control in hypertensive patients.

Data from the China Health and Nutrition Survey collected between 2011 and 2015 were analyzed, including 2 860 participants from Shanghai, of which 831 were hypertensive patients. Air pollution monitoring data for Shanghai during the same period were obtained from the National Urban Air Quality Release Platform. Demographic information, daily habits, health status, and hypertension-related data were collected via questionnaires. Logistic regression was employed to analyze the effect of air pollutants on achieving blood pressure targets, and a mixed-effects model was used to study interactions among air pollutants and their interactions with antihypertensive medications.

A total of 831 adult hypertensive patients were included, with a blood pressure control rate of 35.14%. The odds ratios (OR) and 95% confidence intervals (CI) for O₃ exposure on day 0, the previous 7 days, and the previous 60 days were 1.012 (1.005-1.020), 1.009 (1.002-1.016), and 1.013 (1.003-1.022), respectively. For CO during the same periods, the OR and 95%CI were 1.084 (1.030-1.140), 1.064 (1.030-1.100), and 1.126 (1.050-1.208), respectively. The OR and 95%CI for SO₂ on day 0 and the previous 7 days were 1.056 (1.004-1.110) and 1.024 (1.003-1.046), respectively. SO₂ exposure on day 0 and the previous 7 days (P=0.008; P=0.043) and CO exposure in the previous 60 days (P<0.001) may influence the effectiveness of antihypertensive medications; CO on day 0 and SO₂ on the same day may interact regarding blood pressure control rates (P=0.045); O₃ exposure in the previous 7 days, SO₂ on the same day, and CO on the same day may also interact concerning blood pressure control rates (P=0.004; P<0.001).

O₃, SO₂, and CO are associated with blood pressure control rates. Recent and long-term exposure to O₃ and CO may affect blood pressure control, while recent exposure to SO₂ may influence the efficacy of antihypertensive medications. It is recommended to enhance air pollution monitoring and management, providing guidance for hypertensive patients to improve blood pressure control outcomes.

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 explore the relationship between parental occupational types and adolescent depression symptoms, providing a basis for promoting adolescent mental health.

Data from the 2018 follow-up survey of the China Family Panel Studies were collected, including demographic information, behavioral lifestyle, depression symptoms, and parental occupations of adolescents aged 10 to 19. Depression symptoms were assessed using the Simplified Center for Epidemiologic Studies Depression Scale, and parental occupational types were classified according to the “Occupational Classification of the People’s Republic of China (2022 Edition)”. A multivariate logistic regression model was employed to analyze the association between parental occupational types and adolescent depression symptoms.

In total, 1 971 adolescents were analyzed, including 1 045 boys (53.02%) and 926 girls (46.98%); 525 were only child in the family (26.64%). Among fathers, 1 531 had an education level of junior high school or below (77.68%), with the majority engaged in production and manufacturing occupations (703 individuals, 35.67%). For mothers, 1 653 had an education level of junior high school or below (83.87%), primarily working in agriculture, forestry, animal husbandry, and fishery production and support roles (812 individuals, 41.20%). A total of 293 adolescents exhibited depression symptoms (14.86%). The results of the multifactor logistic regression analysis indicated that, after controlling for variables such as gender, age, smoking, drinking, average daily sleep duration, and parental education level, compared to the unemployed reference group, fathers in professional and technical occupations (OR=0.251, 95%CI: 0.071-0.889) and mothers in agriculture, forestry, animal husbandry, and fishery production and support roles(OR=0.626, 95%CI: 0.409-0.959) were statistically associated with lower risks of adolescent depression symptoms.

Adolescents whose fathers are engaged in professional and technical work or whose mothers work in agriculture, forestry, animal husbandry, and fishery production exhibit a lower risk of developing depression symptoms.

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 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 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 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 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.