To sinicize the Climate Change Health Protection Behavior Scale (CCHPB) for adolescents, and to explore the reliability and validity of the scale among Chinese adolescents.

The Chinese translation model of the scale was carried out with the help of Brislin’s translation model, and the structural validity of the scale was comprehensively evaluated by exploratory factor analysis and confirmatory factor analysis.

The results showed that the internal consistency of the Chinese version of the CCHPB scale was excellent (α=0.923), and the Cronbach’s α coefficient of all dimensions of the scale was higher than 0.878, indicating that the Chinese version of the CCHPB scale had excellent reliability indicators. The results of exploratory factor analysis and confirmatory factor analysis strongly confirmed the four-factor structure of the scale. In addition, all indicators in the adaptability of the confirmatory factor analysis model met the adaptation criteria, which clearly indicated that the scale had good structural validity.

The CCHPB scale can be used to evaluate the health protection behaviors of adolescents under possible climate change situations.

To investigate the heterogeneous effects of Diagnosis-Intervention Packet (DIP) payment reform on the quantity distribution and cost patterns of high/low-complexity cases (measured by Case Mix Index, CMI), and to reveal hospital hierarchical response mechanisms under cost-control pressures, thereby providing policy recommendations.

Using three-year pre-and post-DIP pilot data (2018-2023), we constructed a difference-in-differences (DID) fixed-effects model with medical insurance patients as the treatment group and non-insured patients as the control group. The model incorporated diagnosis-related group (DRG) fixed effects and a policy×high-CMI interaction term to quantify heterogeneous impacts across complexity levels.

The DIP policy significantly reduced per-case medical costs (β₃=-803.570, P<0.001), per-case medical service costs (β₃=-128.434, P=0.019), and per-case material costs (β₃=-290.519, P<0.001) in the treatment group, alongside a reduction in the absolute deviation from the mean by 228.644 CNY (P=0.016) and a shortened average length of stay by 1.080 days (P<0.001). Stratified by CMI, high-CMI cases exhibited additional reductions in per-case costs (β₃=-309.400), material costs (β₃=-549.843), and hospitalization days (β₃=-0.715) compared to low-CMI cases, yet showed an increase in per-case medical service costs (β₃=273.834).

Hospitals adopted distinct response mechanisms under DIP-driven cost constraints. For high-CMI cases, cost control was achieved through technology-for-materials substitution (prioritizing technical service income while reducing material expenditures), whereas low-CMI cases relied on comprehensive cost suppression.These findings highlight the need for complexity-tiered payment adjustments to balance cost containment and care quality.

To understand the prevalence of dyslipidemia among Nu residents with different characteristics in Yunnan Province, and analyze the associated risk factors of dyslipidemia.

In 2021, we used a multi-stage stratified cluster random sampling method to select permanent Nu residents aged 18 and above in Nujiang Prefecture, Yunnan Province as survey subjects. We obtained survey subject information through three parts: questionnaire survey, body measurement, and laboratory examination. To analyze the prevalence intensity and distribution characteristics of dyslipidemia among Nu residents in Yunnan Province, and to explore the related influencing factors of dyslipidemia among Nu residents.

This study included a total of 963 valid participants. The prevalence of dyslipidemia among Nu ethnicity residents aged 18 and above was 35.5%. The prevalence rates of hypercholesterolemia (TC), hypertriglyceridemia (TG), high LDL-cholesterol (LDL-C), and low HDL-cholesterol (HDL-C) were 15.5%, 12.4%, 10.6%, and 15.9%, respectively. Significant risk factors for dyslipidemia included age ≥60 years (OR=1.527, 95% CI=1.007-2.315), overweight (OR=3.194, 95% CI=1.417-7.197), obesity (OR=3.112, 95% CI=1.267-7.645), hypertension (OR=1.395, 95% CI=1.027-1.895), and diabetes mellitus (OR=2.022, 95% CI=1.341-3.049).

The prevalence rate of dyslipidemia among adults of the Nu ethnic group is close to the national average. The next step will be to focus on high-risk groups such as those aged≥60 years, overweight, and obese, while strengthening the management of patients with chronic diseases such as hypertension and diabetes to effectively reduce the prevalence of dyslipidemia.

To analyze the trends of maternal, infant and neonatal mortality rates in Jiangxi Province from 2003 to 2020 in the aggregate and in urban and rural areas, and to predict the maternal mortality rate (MMR), infant mortality rate (IMR), and neonatal mortality rate (NMR) in the aggregate and in urban and rural areas in 2030, in order to provide a basis for the development and planning of the maternal and child health care industry in Jiangxi Province during the period of Healthy China 2030.

Based on the combined and urban-rural MMR, IMR, and NMR data of Jiangxi Province from 2003 to 2020, the Gray GM (1, 1), support vector machine (SVM), neural network auto-regression (NNAR), quadratic exponential smoothing (ES) models were established, and the optimal model was selected to predict the combined and urban-rural MMR, IMR, and NMR for the years 2021-2030. The already predicted aggregate mortality rates were then used to adjust the urban and rural MMR, IMR, and NMR.

In Jiangxi Province, the combined MMR, IMR, and NMR in 2025 and 2030 were 3.09/100 000, 2.52‰, 1.38‰, 1.67/100 000, 1.51‰, and 0.79‰. The urban MMR, IMR, and NMR in 2025 and 2030 were 2.44/100 000, 2.28‰, 1.28‰, and 1.22/100 000, 1.44‰, 0.75‰.And rural MMR, IMR, and NMR in 2025 and 2030 were 3.79/100 000, 2.81‰, 1.52‰,1.90/100 000, 1.63‰, and 0.89‰.

It is expected that Jiangxi Province will reach the targets set out in the “Healthy China 2030” Plan and other policies ahead of schedule in 2025 and 2030 in terms of MMR, IMR and NMR. Although the gap between urban and rural areas in terms of maternal, infant and neonatal mortality rates continues to narrow, the relevant indicators in rural areas are still higher than those in urban areas, an objective gap that indicates that the continued promotion of maternal and child health-care services in rural areas and the optimization of resource allocation at the grass-roots level are still the key directions of public health work.

To analyze the current situation and influencing factors of two-week illness among children aged 0-6 years in Sichuan Province, and to explore the influence of family parenting styles on children’s two-week illness, so as to provide reference for improving the quality of children’s health services.

Based on data from the seventh health service survey of Sichuan Province, the relationship between family parenting style and children’s two-week illness was explored using logistic modeling.

Rural (OR=0.554, 95% CI: 0.311-0.985), left-behind families (where parents do not live permanently or are primarily cared for by someone other than the parents) (OR=1.775, 95% CI: 1.028-3.067) are more sensitive to children’s two-week illness. Indicators such as whether a parent is a permanent resident, the child’s primary caregiver, whether they have commercial insurance, whether they are placed in a childcare facility, and the number of toys they own vary among children’s two-week illness rates (P<0.05).

Different family parenting styles have a great impact on children’s two-week illness. It is recommended to further improve the mechanism of primary children’s health care services, emphasize the role of family in children’s health, and create a child-friendly environment for children to grow up.

To analyze the spatiotemporal trends of occupational noise-induced hearing loss (ONIHL) in the Chinese working population, predict its medium- and long-term disease burden, and provide scientific evidence for occupational disease prevention and control strategies.

Based on the Global Burden of Disease (GBD) 2021 database, data on Years Lived with Disability (YLDs) due to ONIHL in the Chinese working population between 1990 and 2021 were obtained. Joinpoint regression analysis was employed to assess temporal trends in disease burden, while an age-period-cohort (APC) model was developed to examine shifts in epidemiological patterns. Additionally, an Autoregressive Integrated Moving Average (ARIMA) model was applied to project the future burden of disease through 2040.

From 1990 to 2021, the average annual percentage change (AAPC) in the age-standardized rate of YLDs for ONIHL among the Chinese working population was 0.22%(95% CI: 0.19%-0.24%), with sex-specific rates of 0.15%(95% CI:0.13%-0.17%) in males and 0.33%(95% CI: 0.29%-0.37%) in females. In 2021, the age-standardized rate of YLDs was higher in males than in females, reaching a peak of 510.61 per 100 000 in individuals aged 60-64 years. According to the APC model, the YLDs rate increased with age and calendar period, and exhibited an initial increase followed by a decline across successive birth cohorts. Projections using the ARIMA model suggest that the overall age-standardized rate of YLDs is projected to increase to 166.66 per 100 000 by 2040.

From 1990 to 2021, the age-standardized rate of YLDs for ONIHL among the Chinese working population demonstrated a consistent upward trend, with males bearing a higher burden than females. The disease burden also escalated with increasing age. Over the next 19 years, the disease burden is expected to persist in rising, underscoring the urgent need to strengthen workplace noise control measures to mitigate the adverse health effects of occupational noise on the labor force.

To investigate the prevalence of night eating syndrome (NES) among university students and explore its associations with depression, stress, and body mass index (BMI), thereby providing evidence for identifying high-risk populations and developing targeted interventions.

A cross-sectional study was conducted in Nanjing, recruiting 500 university students for a questionnaire survey. The Night Eating Questionnaire (NEQ), Self-Rating Depression Scale (SDS), and Perceived Stress Scale (PSS) were used to assess NES symptoms, depressive mood, and stress levels. Statistical analyses included the Mann-Whitney U test, chi-square test, correlation analysis, and logistic regression models.

A total of 531 valid questionnaires were collected. The prevalence of NES was 6.0%(n=32), while the rates of depressive symptoms and perceived stress were 42.7%(n=227) and 49.0%(n=260), respectively. Students in the NES group had significantly higher levels of depression (P<0.001) and stress (P=0.002) compared to the non-NES group, whereas no significant difference was found in BMI (P=0.130). Spearman correlation analysis showed that NEQ scores were positively correlated with SDS and PSS scores (both P<0.001), but not with BMI (P>0.05). Logistic regression analysis revealed that depression (OR=22.995, 95% CI: 5.434-97.304, P<0.001) and stress (OR=2.825, 95% CI: 1.282-6.227, P=0.010) were positively associated with NES risk, and the risk increased with the severity of depression.

Depression and stress are critical risk factors for NES among university students. Enhancing mental health may serve as an effective approach to NES prevention and intervention.

To investigate the causal association of twelve lifestyle behaviors in six categories (including smoking, drinking, physical activity, sexual behaviors, sleep habits and nutrients) on uterine fibroids using mendelian randomization (MR) method, and to investigate the mediating role of obesity related indicators.

Using genome-wide association study data, bidirectional MR analysis was first performed to identify exposures with causal associations with the outcome, which were then incorporated into multivariable MR to evaluate the independent causal effect of each variable, and finally two-step MR was used to evaluate the mediating role of obesity in the above causal pathways. Univariable MR analysis primarily employed the inverse-variance weighted (IVW) method, with the MR-Egger regression and the weighted median method used as the robustness verification methods; Multivariable MR was performed using the multivariable IVW method.

IVW results showed that genetically predicted regular smoking (OR=1.150, 95% CI: 1.006-1.316, P=0.041), higher alcohol intake (OR=1.306, 95% CI: 1.092-1.563, P=0.004) and higher carbohydrate intake (OR=1.681, 95% CI: 1.151-2.456, P=0.007) were risk factors for uterine fibroids, and were consistent with the results of the MR-Egger regression and the weighted median method. No reverse causal relationship was found in reverse MR analysis (all P values<0.05). Multivariable MR analysis showed that regular smoking (OR=1.302, 95% CI: 1.124-1.507, P<0.001) and carbohydrate intake (OR=1.410, 95% CI: 1.053-1.887, P=0.022) had independent causal effects on uterine fibroids. The two-step MR analysis showed that the waist hip ratio adjusted by body mass index mediated the effect of regular smoking on uterine fibroids, with a mediation proportion of 16.2%.

Regular smoking and higher carbohydrate intake are associated with an increased risk of uterine fibroids, with obesity partially mediating the relationship between regular smoking and uterine fibroids, emphasizing the importance of healthy lifestyle and weight management in the prevention of uterine fibroids.

To construct a set of MCI identification toolkit suitable for the elderly and their families, and to provide reference for guiding the elderly to self-identify MCI.

Using the corpus research method, through reviewing the literature, guidelines, books and other materials, a list of tools was formed, and the first draft of the identification toolkit wasconstructed. After expert consultation and demonstration, the final draft of the identification toolkit was formed by incorporating identification tools with an expert recognition rate of more than 70%. Descriptive statistical analysis was used to analyze the application results of the identification tool.

After expert consultation and demonstration, the effective recovery rate of the questionnaire was 83.33 %, and the expert authority coefficient was 0.875. A family identification toolkit including the mini-mental state examination (MMSE) and the elderly cognitive decline informer questionnaire (IQCODE) was formed. Among the 781 respondents, 256 elderly people had mild cognitive impairment, with an overall prevalence of 32.78 %.

The constructed family identification toolkit for MCI in the elderly is suitable for the elderly, family members and caregivers, and can provide a reference for guiding families to self-identify MCI in the elderly.

To explore the impact of the triglyceride-glucose index (TyG) and obesity indicators on the risk of non-alcoholic fatty liver disease (NAFLD) among participants aged ≥60 years, so as to provide evidence for the early prevention of NAFLD.

A stratified random cluster sampling method was used to select 95 932 elderly individuals in 2022 in Nanjing. These individuals underwent questionnaires, physical examinations, and laboratory tests. A logistic regression model was used to analyze the effects of the TyG and multiple obesity indicators on the risk of NAFLD, followed by the interaction analysis between TyG and each obesity indicator. The diagnostic value of the TyG and its combination with obesity indicators was assessed using receiver operating characteristic curves.

In the study, the prevalence of NAFLD was 39.66%. After adjusting for confounding factors, logistic regression analysis showed that as the increase of TyG and obesity indicators, including BMI, Chinese visceral adiposity index, and lipid accumulation product, the risk of NAFLD in the elderly increased, with odds ratios of 1.86 (1.80-1.93), 3.69 (3.57-3.80), 3.66 (3.54-3.79), and 3.28 (3.17-3.39), respectively (P<0.001). Interaction analysis revealed that compared to low levels of both the TyG and obesity indicator, one variable at a high level or both at high levels increased the risk of NAFLD, indicating a synergistic effect. The diagnostic ability of the TyG combined with obesity indicators for NAFLD risk was higher than that of the TyG alone.

The risk of NAFLD in individuals aged ≥60 years increases with higher levels of the TyG and obesity indicators, and they have a combined effect on NAFLD risk. TyG combined with BMI may be a simple and efficient tool for the early screening of NAFLD in elderly people.