Objective: To investigate the trend in incidence and change in age at onset of malignant tumor in cancer registration areas of Jiangsu Province from 2009 to 2021, so as to provide the evidence for formulating cancer prevention and control strategies and optimizing the allocation of healthcare resources. Methods: Incidence data of malignant tumor cases from 2009 to 2021 were collected from the aggregated database of 16 qualified cancer registries of Jiangsu Province. The crude incidence, age-specific incidence, average age at onset, proportion of age-specific incidence, and proportion of incidence in cases aged ≥60 years were calculated by genders and urban/rural areas, and age-standardized using the Segi's world standard population. The trend in incidence of malignant tumor from 2009 to 2021 was evaluated using average annual percent change (AAPC). The trend in average age at onset of malignant tumor from 2009 to 2021 was evaluated using the linear regression model. Results: From 2009 to 2021, a total of 703 185 cases of malignant tumor were reported in Jiangsu Province, comprising 400 970 males and 302 215 females. The crude incidence of malignant tumor increased from 268.26/100 000 in 2009 to 380.97/100 000 in 2021 (AAPC=2.880%, P<0.05). From 2009 to 2021, the world population-standardized incidence of malignant tumor showed upward trends in the total population, females, and urban and rural areas (AAPC=0.635%, 2.332%, 0.795%, and 0.385%, all P<0.05), while a downward trend was observed in males (AAPC=-0.608%, P<0.05). From 2009 to 2021, the crude incidence of malignant tumor in the groups aged 0-<30 years, 30-<40 years, 40-<50 years, 60-<70 years, and ≥80 years showed upward trends (AAPC=3.160%, 4.462%, 1.295%, 0.569%, and 1.496%, all P<0.05), a downward trend was found in the group aged 50-<60 years (AAPC=-0.860%, P<0.05), while no statistically significant trend was observed in the group aged 70-<80 years (P>0.05). The world population-standardized average age at onset showed downward trends in the total population, females, and urban areas, with average annual decreases of 0.085, 0.223, and 0.136 years, respectively (all P<0.05). Conversely, an upward trend was observed in males, with an average annual increase of 0.081 years (P<0.05). No statistically significant trend was found in rural areas (P>0.05). Compared with 2009, the proportion of malignant tumor incidence cases increased in all age groups between 20-<50 years in 2021. Additionally, the proportion of malignant tumor cases aged over 60 years showed a downward trend from 2009 to 2021 (AAPC=-0.322%, P<0.05). Conclusions From 2009 to 2021, the overall incidence of malignant tumor in registration areas of Jiangsu Province showed an upward trend, with the age at onset tending to become younger. There were differences in the incidence trends across genders and urban/rural areas.

Objective To construct 5 machine-learning models and compare their performance in predicting the associations between pre-pregnancy socio-psycho-behavioral exposures of both spouses and preconception outcomes.Methods Based on Chongqing Preconception Reproductive Health and Birth Outcome Cohort of volunteers recruited from Chongqing Health Center for Women and Children during January 2019 and March 2022,5 447 couples were recruited and surveyed through interviewer-interview for the demographic and social-psychological-behavioral data of both spouses(221 variables).According to the inclusion and exclusion criteria,4 097 couples were finally included,and randomly assigned into a training set(n=2 867 spouses)and a validation set(n=1 230 spouses)at a ratio of 7∶3.Feature analysis and collinear screening were applied to select the potential exposure factors.In consideration of difficulty to carry out semen parameters analysis in primary healthcare institutions,feature Set 1 including sperm parameters and feature Set 2 excluding semen parameters were constructed by including or excluding sperm quality simultaneously in the training set and the validation set.Five algorithms,that is,Logistic Regression,Naive Bayes,Random Forest,Gradient Boosting Machine,and Support Vector Machine,were used to construct preconception outcome prediction models,and the parameters of each model were optimized using random search combined with grid search.The predictive performance of each model was compared using precision,recall,F1 score,area under the receiver operating characteristic curve(AUC),and calibration curve.The optimal model was then selected by comparing the changes in the predictive ability of the questionnaire data for fertility outcomes with or without semen parameters.Results There were 24 variables screened out in feature Set 1,and 16 variables in feature Set 2.In feature Set 1,the gradient boosting machine performed better,with a relatively higher AUC value(0.651)and better F1 score(0.61).The logistic regression model performed stably(AUC value=0.647)and was suitable as the reference model.The random forest(AUC value=0.641),Naive Bayes(AUC value=0.641),and support vector machine(AUC value=0.634)performed second-best.By utilizing the gradient boosting machine,comparable results were found between the predictions from feature sets with or without semen parameters,as in feature Set 1,the AUC value of its validation set was 0.651(95%CI:0.629～0.681),the prediction accuracy was 0.63,the recall rate was 0.65,and the average precision value F1 was 0.61;and in feature Set 2,the AUC value of its validation set was 0.649(95%CI:0.624～0.663),and both the calibration curves were close to the ideal curve.The prediction results indicated that in feature Set 1,the features highly negatively correlated with preconception outcomes were female age,male age,and no pregnancy within 1 year without contraception,while the features highly positively correlated with preconception outcomes were female pregnancy history,total sperm vitality,and use of contraceptive measures before enrollment.Conclusion Among the 5 machine-learning algorithms performed in this cohort data,the gradient boosting machine shows slightly better performance.There are 24 factors being associated with preconception outcomes in both spouses,and the performance of the simplified model excluding semen parameters is not significantly declined.It is feasible to use machine-learning methods to predict human preconception outcomes through social-psychological-behavioral questionnaires.

Objective To investigate the impact of various health education intervention strategies on the proper use of personal respiratory protective equipment (RPE) among workers exposed to dust. Methods Dust-exposed workers were recruited from 60 selected enterprises in Guangdong Province using cluster random sampling method. They were randomly allocated to the control, low-intensity intervention, and high-intensity intervention groups, with 358, 346, and 371 workers in each group, respectively. Workers in the control group received no designed intervention. Workers in the low-intensity intervention group received traditional plus mobile health education on the proper use of RPE. Workers in the high-intensity intervention group received all components of the low-intensity intervention, supplemented with peer education. The intervention lasted for six months. RPE usage was compared among the three groups of workers before and after the intervention. Results Workers in the control, low-intensity intervention, and high-intensity intervention groups showed higher rates of both RPE wearing and correct RPE wearing after the intervention than before it within their respective groups (RPE wearing rate: 94.1% vs 99.2%, 95.7% vs 100.0%, 94.6% vs 100.0%, all P<0.01; correct RPE wearing rate: 66.8% vs 91.1%, 67.3% vs 95.7%, 66.6% vs 96.5%, all P<0.01). Post-intervention correct RPE wearing rates were highest in the high-intensity intervention group, followed by the low-intensity intervention group, and the control group, with the percentage of 96.50%, 95.66% and 91.06%, respectively (P<0.01). Binary logistic regression analysis result showed that different intervention strategies affected the correct use of personal RPE among dust-exposed workers after adjusting for gender, age, and other confounding factors (P<0.05). Compared with the control group, the rates of correct RPE use increased in the low-intensity intervention group and the high-intensity intervention group (odd ratio was 2.14 and 3.01; 95% confidence interval was 1.12 - 4.10 and 1.53 - 5.91, respectively). Conclusion The implementation of traditional plus mobile health education interventions on the proper use of RPE can promote correct RPE utilization among dust-exposed workers, and integrating peer education further enhances the intervention effectiveness.

Objective To analyze the changing trends of the incidence and onset age of cervical cancer in Jiangsu Province by using cancer registration data from 2009 to 2019. Methods The information of national cancer registries with continuous data from 2009 to 2019 was selected, and the quality control indices of cancer registration must be up to standards. A total of 16 registries were included in this study. Statistical analysis indicators include the crude incidence rate of cervical cancer, age-standardized incidence rate, actual average onset age, age-standardized average onset age, and average annual percentage change (AAPC). A birth cohort model was constructed to analyze the incidence of cervical cancer among women born from 2009 to 2019 and its incidence trend. Results From 2009 to 2019, the crude and age-standardized incidence rates of cervical cancer among women in Jiangsu Province showed upward trends, with AAPCs of 5.62% (95%CI: 3.47−7.82) and 4.14% (95%CI: 2.06−6.27), respectively. The incidence rate of cervical cancer in rural areas (AAPC=4.46, 95%CI: 1.13−7.91) increased more than that in urban areas (AAPC=3.83, 95%CI: 2.81−4.86). The actual average onset age of cervical cancer increased from 51.53 years in 2009 to 55.07 years in 2019 (β=0.36, P<0.05). The age-standardized average onset age increased from 48.89 years in 2009 to 50.43 years in 2019 (β=0.21, P<0.05). The age composition ratios of cervical cancer in the age group of 60 years and older were 31.90% in 2019 and 22.40% in 2009 (β=3.66, P<0.05). The incidence of cervical cancer in the same age group of people with different birth years showed an upward trend with the increase in birth year. Conclusion From 2009 to 2019, the incidence rate of cervical cancer in Jiangsu Province showed an upward trend, and this trend was more obvious in rural areas than in urban areas. In addition, the average onset age of cervical cancer showed an upward trend.

Objective:To investigate the common viral pathogen spectrum of acute respiratory infection (ARI) cases in Changshu city.Methods:Nasopharyngeal swab samples from outpatients and inpatients in five sentinel hospitals in Changshu city from January 2022 to October 2023 were collected. Real-time fluorescent quantitative polymerase chain reaction was used to detect the nucleic acids of influenza virus (Flu) and respiratory syncytial virus (RSV), adenovirus (AdV), human rhinovirus (HRV), human parainfluenza virus (HPIV), enterovirus (EV), human coronavirus (HCoV), human metapneumovirus (HMPV), and human bocavirus (HBoV).Results:Of the 1 936 ARI cases, 18.1% (350/1 936) were tested positive for viral nucleic acid. Flu had the highest detection rate (7.1%), followed by HBoV (3.7%), AdV (1.9%) and RSV (1.6%). The virus detection rate was significantly different among different age groups and seasons. In March 2023, the total virus detection rate was the highest (47.6%), mainly Flu. Flu showed unimodal prevalence in spring and winter. The prevalence trend of HBoV and HCoV was consistent, and the detection rate of HBoV (5.43%) was higher than that of HCoV (2.45%), both of which peaked in summer. RSV prevalence peaks in autumn (4.5%). The detection rate of children aged 0-5 years was the highest, reaching 33.3%.Conclusions:The main ARI pathogens in Changshu city from 2022 to 2023 were Flu, HBoV, AdV and RSV.

Objective:To understand the impact of diet on glycemic control in community-managed patients with type 2 diabetes mellitus (T2DM) and provide evidence for implementing prevention strategies and measures for diabetes patients.Methods:Eight communities were randomly selected from Changshu and Wuhan in 2015, and T2DM patients managed in the community were selected to conduct questionnaire surveys, physical measurements, and blood glucose testing. Factor analysis was used to obtain dietary patterns. A binary logistic regression model was used to analyze the factors affecting glycemic control.Results:Finally, 1 818 T2DM patients were included, and the control rate of FPG was 57.59% (95% CI: 55.30%-59.86%), and the control rate of 2 h postprandial blood glucose (2 h PBG) was 24.90% (95% CI: 22.93%- 26.91%). Five dietary patterns were obtained by factor analysis: animal food pattern, fruit-aquatic products-potato patterns, vegetable-grain pattern, egg-milk-bean pattern, and oil-salt patterns. No-conditional multivariate logistic regression analysis showed that after adjusting for confounding factors, the reduced probability of FPG control was related to animal food pattern ( OR=0.71, 95% CI: 0.52-0.98) and fruit-aquatic products-potato patterns ( OR=0.71, 95% CI: 0.51-0.97). The decrease in the 2 h PBG control probability was related to fruit-aquatic products-potato patterns ( OR=0.60, 95% CI: 0.40-0.90). The increased probability of FPG and 2 h postprandial glucose control were both related to vegetable-grain pattern ( OR=1.41, 95% CI: 1.03-1.94; OR=1.68, 95% CI: 1.13-2.51) and egg-milk-bean pattern ( OR=1.75, 95% CI: 1.25-2.46; OR=1.56, 95% CI: 1.00-2.42). Compared with the Q4 group of egg-milk-bean pattern, the FPG control rate of the combination of "fruit-aquatic products-potato pattern ( Q4 group), vegetable-grain pattern ( Q2 group), egg-milk-bean pattern ( Q3 group)" was higher ( OR=6.79, 95% CI: 1.15-40.23, P=0.035). Compared with the Q4 group of vegetable-grain pattern, the combination of "fruit-aquatic products-potato pattern ( Q4 group), vegetable-grain pattern ( Q3 group), egg-milk-bean pattern ( Q2 group), oil-salt pattern ( Q2 group)" had higher control rate of 2 h PBG ( OR=12.78, 95% CI: 1.26-130.05, P=0.031). Conclusions:A proper combination of dietary patterns and dietary patterns are more conducive to the control of FPG and 2 h PBG in T2DM patients managed in the communities of Wuhan and Changshu. Patient nutrition education should be strengthened, and the food-matching ability of patients should be improved.

Objective:To investigate the prospective association of sleep duration with the development of chronic obstructive pulmonary disease (COPD) in adults in Suzhou.Methods:The study used the data of 53 269 participants aged 30-79 years recruited in the baseline survey from 2004 to 2008 and the follow-up until December 31, 2017 of China Kadoorie Biobank (CKB) conducted in Wuzhong District, Suzhou. After excluding participants with airflow limitation, self-reported chronic bronchitis/emphysema/coronary heart disease history at the baseline survey and abnormal or incomplete data, a total of 45 336 participants were included in the final analysis. The association between daily sleep duration and the risk for developing COPD was analyzed by using a Cox proportional hazard regression model, and the hazard ratio ( HR) values and their 95% CI were calculated. The analysis was stratified by age, gender and lifestyle factors, and cross-analysis was conducted according to smoking status and daily sleep duration. Results:The median follow-up time was 11.12 years, with a total of 515 COPD diagnoses in the follow-up. After adjusting for potential confounders, multifactorial Cox proportional hazard regression analysis showed that daily sleep duration ≥10 hours was associated with higher risk for developing COPD ( HR=1.42, 95% CI: 1.03-1.97). The cross analysis showed that excessive daily sleep duration increased the risk for COPD in smokers ( HR=2.49, 95% CI: 1.35-4.59, interaction P<0.001). Conclusion:Longer daily sleep duration (≥10 hours) might increase the risk for COPD in adults in Suzhou, especially in smokers.

Objective:To investigate the associations of onset age, diabetes duration, and glycated hemoglobin (HbA1c) levels with ischemic stroke risk in type 2 diabetes patients.Methods:The participants were from Comprehensive Research on the Prevention and Control of the Diabetes in Jiangsu Province. The study used data from baseline survey from December 2013 to January 2014 and follow-up until December 31, 2021. After excluding the participants who had been diagnosed with stroke at baseline survey and those with incomplete information on onset age, diabetes duration, and HbA1c level, a total of 17 576 type 2 diabetes patients were included. Cox proportional hazard model was used to calculate the hazard ratio ( HR) and 95% CI of onset age, diabetes duration, and HbA1c level for ischemic stroke. Results:During the median follow-up time of 8.02 years, 2 622 ischemic stroke cases were registered. Multivariate Cox proportional risk regression model showed that a 5-year increase in type 2 diabetes onset age was significantly associated with a 5% decreased risk for ischemic stroke ( HR=0.95, 95% CI: 0.92-0.99). A 5-year increase in diabetes duration was associated with a 5% increased risk for ischemic stroke ( HR=1.05, 95% CI: 1.02-1.10). Higher HbA1c (per 1 standard deviation increase: HR=1.17, 95% CI: 1.13-1.21) was associated with an increased risk for ischemic stroke. Conclusion:The earlier onset age of diabetes, longer diabetes duration, and high levels of HbA1c are associated with an increased risk for ischemic stroke in type 2 diabetes patients.

Objective:To understand the situation and epidemic characteristics of injury deaths among children aged 5 to 24 years in Jiangsu Province from 2012 to 2021 and the trend of annual changes.Methods:The main injury mortality data of children and adolescents was collected, and the crude and standardized mortality rates of road traffic accidents, drowning, suicide, and accidental falls among children and adolescents over a decade and the annual average percentage of change (AAPC) were calculated. The main injury mortality characteristics and trends of children and adolescents of different age groups and genders were analyzed.Results:The total number of injury deaths among 5 to 24 adolescents in Jiangsu Province was 16 052, with a standardized mortality rate of 9.58/100 000. There was no significant trend in the overall standardized mortality rate of injuries (AAPC=-3.450%, P=0.055). The standardized mortality rate of road traffic injuries among children and adolescents showed a decreasing trend over the past decade, with statistical significance (AAPC=-9.406%, P<0.001). The standardized suicide mortality rate showed an upward trend over the past decade, with statistical significance (AAPC=9.000%, P=0.001). The overall injury mortality rate showed an upward trend with age. Suicide rates in males and females were on the rise and both have statistical significance (AAPC=9.420% and AAPC=9.607%, both P<0.05). The standardized mortality rates of female traffic accidents, drowning, and male traffic accidents showed a decreasing trend and were statistically significant (AAPC for female traffic accidents=-7.364%, AAPC for female drowning=-5.352%, and AAPC for male traffic accidents=-10.242%, all P<0.05). The standardized mortality rate of urban and rural traffic accidents showed a decreasing trend and was statistically significant(AAPC=-7.899% and AAPC=-9.421%, both P<0.001). The standardized suicide mortality rate showed an upward trend and statistical significance (AAPC=11.009% and AAPC=7.528%, both P<0.05). Conclusions:The overall injury situation of children and adolescents in Jiangsu Province improved in the past decade from 2012 to 2021, but the suicide mortality rate was on the rise. It is necessary to focus on the mental health issues of this age group and to strengthen the prevention and control of suicide among children and adolescents, in Jiangsu.

Liver cancer is a significant contributor to the world's cancer burden. In order to comprehend the variations in its regional, age, gender, and histological subtype distributions as well as its temporal trend, this paper analyzes the worldwide statistical data of liver cancer, including the incidence, mortality, and survival. The findings indicated that the stages of liver cancer control and prevention are heterogeneous among countries and regions. The successful experience of liver cancer control and prevention in some countries should be promoted and disseminated. According to the various national conditions, comprehensive intervention measures, including reducing aflatoxin exposure, promoting vaccination, improving the treatment of chronic hepatitis infection, and implementing early diagnosis and treatment of liver cancer, should be developed.