1.Epidemiological characteristics and prediction of incidence trend of hepatitis E in Huai'an City in 2015-2024
Wenling XIA ; Hongbo ZHANG ; Yang LI ; Ben CAI ; Wenyi ZHANG ; Chunyu WAN ; Qiang GAO
Journal of Public Health and Preventive Medicine 2026;37(4):26-30
Objective To analyze the epidemiological characteristics of hepatitis E (HE) in Huai'an City from 2015 to 2024, and construct and validate the prediction effect of the Seasonal Autoregressive Integrated Moving Average (SARIMA) model, and to provide a scientific basis for HE prevention and control. Methods Data of reported HE cases in Huai'an City from January 2015 to December 2024 were extracted from the National Disease Control and Prevention Information System. Descriptive epidemiological methods were used to analyze the temporal, regional and population distribution characteristics of HE incidence. After data preprocessing, stationarity test and randomness test, the SARIMA model was constructed. The optimal model was selected by minimizing the Akaike Information Criterion (AIC). The model performance was evaluated by adjusted R-squared (Adj R2) and root mean square error (RMSE). The monthly incidence rate of HE in Huai'an City in 2025 was predicted and compared with the actual incidence data to validate the model. Results A total of 1 713 HE cases were reported in Huai'an City from 2015 to 2024, showing a fluctuating upward trend. Huaiyin District (339 cases) and Lianshui County (334 cases) were high-incidence areas. The cases were mainly concentrated in people aged 45 and above (83.3%), males (gender ratio 2.37:1) and farmers (70.8%). The optimal model was SARIMA (1,1,1)×(2,0,1)12, with residual as white noise sequence. There was no statistical difference between the actual incidence and predicted value from January to August 2025 (P>0.05). Conclusion HE incidence in Huai'an has obvious aggregation and temporal fluctuation characteristics. The SARIMA model has a good prediction effect, which can provide reference for formulating targeted prevention and control strategies.
2.Correlation of related indexes of blood lipid and insulin resistance with cognition scores in middle-aged and elderly people with mild cognitive impairment
Xiaonan LIU ; Yin HONG ; Chunyu HUAI ; Lei FENG ; Wenyi LI ; Runzhi LI ; Jun XU ; Ruiqing WANG ; Huaguang ZHENG
Chinese Journal of Health Management 2023;17(1):13-18
Objective:To analyze the correlation between related indexes of serum lipid and insulin resistance and cognitive impairment in middle-aged and elderly people with mild cognitive impairment (MCI).Methods:In this cross-sectional study, 262 middle-aged and elderly patients with a Montreal Cognitive Function Scale (MoCA) cognitive score greater than or equal to 18 points who underwent physical examination in the Health Management Center of Beijing Tiantan Hospital Affiliated to Capital Medical University from January 1 to July 31, 2021 were selected as subjects. According to the cognitive function and MoCA score, the patients were divided into MCI group (143 cases) and normal cognition group (119 cases). Basic data, fasting blood glucose, triglyceride (TG), total cholesterol, apolipoprotein E(ApoE) genotype and other clinical indicators were collected. Hypothesis test was used to compare the differences in basic data, related indicators of blood lipid and insulin resistance between the two groups. Spearman correlation analysis was used to analyze the correlation between related indicators of blood lipid and insulin resistance and MoCA score in the two groups.Results:The age and the proportion of patients with hypertension, coronary heart disease and diabetes in the MCI group were all significantly higher than those in normal cognition group [(54.83±8.29) vs (50.76±6.34) years, 37.76% vs 31.93%, 4.20% vs 0.84%, 16.08% vs 8.40%] (all P<0.05). The elevation of serum TG ( r=-0.50, 95% CI:-0.88--0.12), TG glucose product index (TyG) ( r=-0.75, 95% CI:-1.29--0.20) and TG to high-density lipoprotein cholesterol ratio (TG/HDL-C) ( r=-0.52, 95% CI:-0.91--0.13) were all negatively correlated with MoCA score (all P<0.05). After adjusting for age and gender, the elevation of TG ( r=-0.39, 95% CI:-0.75--0.31) and TG/HDL-C ( r=-0.43, 95% CI:-0.80--0.05) were both still negatively correlated with MoCA score (both P<0.05). There was no significant correlation between all indexes and MoCA scores in the normal cognition group (all P>0.05). The elevated TG was negatively correlated with MoCA score in the MCI group ( r=-0.70, 95% CI:-1.23-0.16, P=0.017). There was no significant correlation between elevated TG and MoCA score in patients carrying ApoE ε2 and ApoE ε3 genotypes in MCI group (all P>0.05). Conclusion:Elevated related indexes of blood lipids and insulin resistance are negatively correlated with cognitive scores in middle-aged and elderly people with MCI, and it′s more obvious in patients with ApoE ε4 genotype.


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