Advancing Underlying Cause of Death Inference Through Wide and Deep Model.

Introduction: Accurately filling out death certificates is essential for death surveillance. However, manually determining the underlying cause of death is often imprecise. In this study, we investigate the Wide and Deep framework as a method to improve the accuracy and reliability of inferring the underlying cause of death. Methods: Death report data from national-level cause of death surveillance sites in Fujian Province from 2016 to 2022, involving 403,547 deaths, were analyzed. The Wide and Deep embedded with Convolutional Neural Networks (CNN) was developed. Model performance was assessed using weighted accuracy, weighted precision, weighted recall, and weighted area under the curve (AUC). A comparison was made with XGBoost, CNN, Gated Recurrent Unit (GRU), Transformer, and GRU with Attention. Results: The Wide and Deep achieved strong performance metrics on the test set: precision of 95.75%, recall of 92.08%, F1 Score of 93.78%, and an AUC of 95.99%. The model also displayed specific F1 Scores for different cause-of-death chain lengths: 97.13% for single causes, 95.08% for double causes, 91.24% for triple causes, and 79.50% for quadruple causes. Conclusions: The Wide and Deep significantly enhances the ability to determine the root causes of death, providing a valuable tool for improving cause-of-death surveillance quality. Integrating artificial intelligence (AI) in this field is anticipated to streamline death registration and reporting procedures, thereby boosting the precision of public health data.

Healthy lifestyles and rapid progression of carotid plaque in population with atherosclerosis: A prospective cohort study in China.

Background: Healthy lifestyles are effective means to reduce major cardiovascular events. However, little is known about the association of healthy lifestyles with development of carotid atherosclerosis at the early stage of cardiovascular diseases (CVDs). Methods: We enrolled participants from Fujian province in the China PEACE MPP project. We calculated a healthy lifestyle score by adherence to non-smoking, sufficient physical activity, healthy diet and healthy body mass index. Cox proportional hazards regression models and restricted cubic splines (RCS) were used to explore the association between the healthy lifestyles and rapid progression of carotid plaque. Results: 8379 participants were included (mean age: 60.6 ± 8.3 years, 54.6 % female), with a median follow-up of 1.2 years (inter quartile range: 1.0-1.6). RCS showed a significant inverse association between the healthy lifestyle score and progression of carotid plaque. Participants with "intermediate" (HR: 0.72 [95 % confidence interval (CI): 0.65-0.80]) or "ideal" (HR: 0.68 [0.59-0.78]) adherence to healthy lifestyles had a lower risk of progression of carotid plaque compared to those with "poor" adherence. Age, sex, occupation, income, residence type and metabolic status were significant factors influencing the relationship. Farmers benefited more in non-smoking and sufficient physical activity compared to non-farmers, and participants with lower income or without dyslipidaemia benefited more in sufficient physical activity and healthy diet compared to their counterparts (p-for-interaction < 0.05). Conclusions: Healthy lifestyles were associated with lower risk of progression of carotid plaque in populations with atherosclerosis. Promotion of healthy lifestyles from the early stage of carotid atherosclerosis could reduce the burden of CVDs in China.

Rural-urban disparities in the associations of residential greenness with diabetes and prediabetes among adults in southeastern China.

AIMS: Greenness offers health benefits to prevent diabetes in urban areas. However, urban-rural disparities in this association have not been explored, with the underlying pathways understudied as well. We aimed to investigate and compare the associations and potential pathways between residential greenness and the risks for diabetes and prediabetes in urban and rural areas. METHODS: Diabetes and prediabetes were diagnosed by fasting blood glucose (FBG). The participants' residential greenness exposure was estimated by the normalized difference vegetation index (NDVI) and enhanced vegetation index (EVI). The association of residential greenness with the risks for diabetes and prediabetes was estimated by logistic regression and the generalized additive model. The potential mediation effects of air pollution, body mass index (BMI), and physical activity (PA) were examined by causal mediation analysis. RESULTS: Of the 50,593 included participants, and the prevalence of prediabetes and diabetes were 21.22 % and 5.63 %, respectively. Each 0.1-unit increase in EVI500m and NDVI500m for healthy people reduced the risk for prediabetes by 12 % and 8 %, respectively, and substantially reduced the risk for diabetes by 23 % and 19 %, respectively. For those with prediabetes, each 0.1-unit increase in EVI500m and NDVI500m reduced the diabetes risk by 14 % and 12 %, respectively. Compared to the risks for diabetes at the 25th percentile of EVI500m/NDVI500m, such risks significantly reduced when EVI500m (NDVI500m) increased over 0.43 (0.48) and 0.28 (0.39) in urban and rural areas, respectively. The residential greenness-prediabetes/diabetes associations were mediated by air pollution and PA in urban areas and by air pollution and BMI in rural areas. CONCLUSIONS: Exposure to residential greenness was associated with a lower risk for prediabetes and diabetes in urban areas and, more strongly, in rural areas, which were partly mediated by air pollution, PA, and BMI.

Residential greenness and dyslipidemia risk: Dose-response relations and mediation through BMI and air pollution.

BACKGROUND: Evidence on associations of residential greenness with dyslipidemia is limited, particularly regarding dose-response relations and mediation. OBJECTIVES: To investigate associations between greenness and dyslipidemia, non-linear dose-response relationships and mediators. METHODS: This cross-sectional study draws on the 2018 Fujian Behavior and Disease Surveillance (FBDS) cohort that used multi-stage stratified random sampling from the general population of Fujian Province, China. Participants with one or more abnormities in total cholesterol (TC), triglycerides (TG), high-density lipoprotein cholesterol (HDL-C), or low-density lipoprotein cholesterol (LDL-C) were classified as having dyslipidemia. Residential greenness was operationalized as 3-year average of the normalized difference vegetation index (NDVI500m) and enhanced vegetation index (EVI500m). A doubly robust approach was used for effect quantification. Dose-response relations were studied with natural cubic splines. Mediation via physical activity (PA), body mass index (BMI), PM2.5, PM10, SO2, and NO2 was also examined. RESULTS: Data from 43,183 participants were analyzed. Increases in NDVI500m and EVI500m residential greenness were associated with decreased dyslipidemia risk and improved blood lipids. Non-linear dose response relationships were discovered. Significant reduction of dyslipidemia risk was observed at levels of EVI500m > 0.48 and NDVI500m > 0.65. Joint mediation effects of PA, BMI, PM2.5, PM10, NO2, and SO2 on the associations of NDVI500m and EVI500m with dyslipidemia risk were 49.74% and 44.64%, respectively. CONCLUSIONS: Increased residential exposure to greenness was associated with decreased risk of dyslipidemia. A non-linear dose-response relationship between greenness and dyslipidemia suggests that specific thresholds of greenness need to be reached in order to achieve effects. BMI, PM2.5, and PM10 partially mediated the association.

Chronic Obstructive Pulmonary Disease Prevalence and Associated Risk Factors in Adults Aged 40 Years and Older in Southeast China: A Cross-Sectional Study During 2019-2020.

Purpose: Chronic obstructive pulmonary disease (COPD) is one of many major public health problems in China, and its prevalence and associated risk factors in the southeast of China need to be determined to facilitate disease control and prevention. Methods: A multistage stratified cluster sampling method was used to select 5486 participants aged ≥ 40 years from nine COPD monitoring districts in Fujian Province during 2019-2020. Participants were interviewed using a laptop-based questionnaire and underwent pulmonary function tests. COPD was diagnosed according to the 2019 Global Initiative for Chronic Obstructive Lung Disease (GOLD) criteria. Results: Final analysis was conducted using data from 4999 participants with qualified post-bronchodilator results. The prevalence of COPD was 11.6% (95% confidence interval [CI]: 10.5-12.7). Risk factors for COPD in the logistic regression model were being male (odds ratio [OR] = 2.83, 95% CI: 2.01-3.98), > 70 years old (OR = 16.16, 95% CI: 8.14-32.08), having a low body mass index (BMI) (OR = 1.81, 95% CI: 1.13-2.89), parental history of respiratory disease (OR = 1.78, 95% CI: 1.50-2.10), being a current (OR = 2.82, 95% CI: 1.83-4.36) or former (OR = 2.47, 95% CI: 1.45-4.19) smoker, and indoor exposure to biomass (OR = 1.28, 95% CI: 1.05-1.58). Conclusion: The estimated prevalence of COPD in southeast China is high. COPD was strongly associated with sex, aging, a low BMI, parental history of respiratory diseases, smoking, and indoor exposure to biomass in adults aged ≥ 40 years. The government should urgently implement comprehensive measures to reduce the risk factors for COPD.

Risk factors for gastric cancer and related serological levels in Fujian, China: hospital-based case-control study.

OBJECTIVE: To explore the relationships between gastric cancer and serum pepsinogen I (PG I), PG II, PG I/II ratio, gastrin 17 (G-17) and Helicobacter pylori infection, and to investigate dietary and lifestyle risk factors for gastric cancer in Fujian Province, China. DESIGN: A hospital-based, 1:1 matched case-control study. SETTING: Patients with newly diagnosed gastric cancer were recruited from the Fujian Provincial Hospital and the No. 900 Hospital of the Joint Support Force of the Chinese People's Liberation Army between July 2014 and December 2016. PARTICIPANTS: A total of 180 pairs of patients with gastric cancer and control subjects were recruited in the study, including 134 (74.4%) male pairs and 46 (25.6%) female pairs. INVESTIGATION AND ANALYSIS MEASURES: Serological indicators were tested with ELISA kits. Dietary, lifestyle and psychological factors were investigated through face-to-face questionnaire. Relationships between gastric cancer and these influencing factors were examined by Χ2 test and conditional logistic regression. RESULTS: Serum PG II and G-17 levels and H. pylori infection rate were higher in patients with gastric cancer than in control subjects (p<0.05), while PG I/II ratio was lower in patients with gastric cancer (p<0.05). Serum G-17 levels were higher in patients with corpus gastric cancer than in patients with antral gastric cancer (p<0.05). Serum PG II levels were higher in patients with advanced gastric cancer than in patients with early-stage cancer (p<0.05), however, PG I/II ratio was lower in patients with advanced-stage gastric cancer than in patients with early-stage cancer (p<0.05). Eating hot food (OR=2.32), eating pickled vegetables (OR=4.05) and often feel troubled (OR=2.21) were found to significantly increase the risk of gastric cancer (all p<0.05), while consuming onion or garlic (OR=0.35), drinking tea (OR=0.26), eating fresh fruits (OR=0.55), and high serum PG I (OR=0.99) or PG I/II ratio (OR=0.73) were found to be protective against gastric cancer. CONCLUSION: Study results showed that serum PG, G-17 and H. pylori antibodies could be useful indicators for early diagnosis of gastric cancer. Increase in serum G-17 level might indicate the location of gastric cancer. Increase in serum PG II level and decrease in PG I/II ratio might imply the clinical stage. Eating hot food, eating pickled vegetables and often feel troubled may be risk factors for gastric cancer, while eating fresh fruits, eating onion or garlic, and drinking tea may be protective factors against the disease.

Analysis of lifetime death probability for major causes of death among residents in China.

BACKGROUND: Cumulative mortality rate and cumulative mortality risk are two commonly used indicators to measure the impact and severity of diseases. However, they are calculated during a defined life span and assume the subject does not die from other causes. This study aims to use a new indicator, lifetime death probability (LDP), to estimate the lifetime death probabilities for the top five leading causes of death in China and explore the regional differences and trends over time. METHODS: LDPs were calculated using a probability additive formula and abridged life tables. RESULTS: In 2014, LDPs for heart disease, cerebrovascular disease, malignancy, respiratory disease, and injury and poisoning were 24.4, 23.7, 19.2, 15.5, and 5.3%, respectively. The LDPs for heart disease and malignancy increased by 7.3 and 0.5%, respectively, compared to those from 2004 to 2005. In contrast, the LDPs for cerebrovascular and respiratory disease decreased by 1.0 and 3.9%, respectively, compared to those in 2004-2005. Across the eastern, central and western regions, malignancy had the highest LDP in the eastern region, cerebrovascular and heart diseases in the central region, and respiratory diseases, and injury and poisoning in the western region. CONCLUSIONS: LDP is an effective indicator for comparing health outcomes and can be applied for future disease surveillance. Heart disease and malignancy were the two most common causes of death in China, but with regional differences. There is a need to implement targeted measures to prevent chronic diseases in different regions.

Comparison of Life-Time Death Probability due to Malignant Tumors in Different Regions of China Based on Chinese Surveillance Sites.

Objective: To estimate and comparably analyze the life-time death probability (LDP) caused by malignant tumors in different regions in 2004 and 2014. Methods: LDP was calculated by a probability additive formula and based on an abridged life table. Data on age-specific mortality was obtained from the National Cause-of- Death Surveillance Dataset in 2014 using surveillance sites in China and data on age-specific mortality was collected from the third retrospective investigation of death cause in China in 2004. Results: LDP caused by malignant tumors, lung cancer, gastric cancer, liver cancer, esophageal cancer, colorectal, and anal cancer were 19.2%, 5.6%, 2.8%, 2.8%, 1.7%, 1.3%, respectively. In addition, we calculated LDP caused by malignant tumors in three different regions of China. LDP caused by malignant tumors were 21.2%, 6.1%, 3.1%, 2.8%, 2.0%, and 1.5% in the eastern region, were 18.3%, 5.5%, 2.7%, 3.0%, 1.5%, and 1.1% in the central region, and were 16.7%, 4.6%, 2.3%, 2.8%, 1.6%, and 1.2% in the western region, respectively. Additionally, LDP caused by malignant tumors in 2004 and 2015 were compared. We found that LDPs caused by malignant tumors, lung cancer, and colorectal cancer have increased in the past decade, while LDPs caused by gastric cancer, liver cancer, and esophageal cancer have experienced a decreasing trend. Conclusions: Malignant tumors were still the main cause of death in one's life time, giving rise to LDP. LDP caused by malignant tumours has two divisions. First, traditional upper digestive system cancers related to long-term chronic infection, such as esophageal cancer, gastric cancer, and liver cancer, which has shown a significant downward trend. Second, lung and colorectal cancers related to the environmental factors and lifestyle, which are on the rise.

Ischemic heart disease deaths, disability-adjusted life years and risk factors in Fujian, China during 1990-2013: Data from the Global Burden of Disease Study 2013.

OBJECTIVES: Ischemic heart disease (IHD) is a large public health problem and is associated with a number of modifiable risk factors. The aim of this study was to estimate the IHD burden and attributable to risk factors in Fujian, China during 1990 to 2013. METHODS: IHD deaths, disability-adjusted life years (DALYs) and attributable to risk factors were estimated as part of the Global Burden of Disease (GBD) 2013 Study. Statistical models were employed to produce comprehensive results of IHD deaths, DALYs and attributable to risk. Means and 95% uncertainty intervals (UIs) were calculated for mortality and DALYs. The median of the percent change and 95% UI were determined for the period between 1990 and 2013. RESULTS: The age-standardized IHD deaths rate increased by 15.3% from 1990 [74.7 (95% UI 62.9-99.1) per 100,000] to 2013 [82.7 (56.5-95.5) per 100,000]. The age-standardized IHD DALYs has slightly decreased 8.8% from 1990 to 2013[from 1356.2 (1134.3-1732.1) to 1202.7 (879.6-1404.6) per 100,000]. All risks combined account for 94.7% (92.9%- 96.0%) of IHD DALYs for all ages in 2013. The five leading risk factors for all ages IHD DALYs were high systolic blood pressure, high total cholesterol, smoking, diet high in sodium, and high fasting plasma glucose. CONCLUSION: Despite decreased age-standardized IHD deaths and DALY rate since 1990, population growth and aging led to a higher global burden of IHD in 2013. Behavioral, environmental, and metabolic risks can explain most of the IHD DALYs providing many opportunities for prevention.

Differences in the levels of gastric cancer risk factors between Nanjing and Minqing counties, China.

OBJECTIVES: In Fujian Province, China, gastric cancer is one of the leading causes of mortality among all malignant tumors. Nanjing county and Minqing county are located in inland Fujian and have similar general demographics. However, the adjusted mortality rate of gastric cancer in Minqing was found to be much higher than that in Nanjing. We sought to explore factors associated with this increased risk of gastric cancer between the two counties. METHODS: We recruited 231 and 224 residents from Nanjing and Minqing, respectively, and analyzed differences between their dietary habits, Helicobacter pylori infection rates, and concentrations of serum pepsinogen I, pepsinogen II, gastrin-17, and ratio of pepsinogen I:II. RESULTS: Subjects in Minqing had more first-degree relatives who had been diagnosed with upper gastrointestinal tumor, more unhealthy dietary habits, a higher Helicobacter pylori positive rate, and greater proportion of abnormal serum gastrin-17 than those in Nanjing did. CONCLUSIONS: The factors that differed between these two counties might indicate that residents in Minqing have a higher risk for developing gastric cancer than those in Nanjing do.

Calculation of life-time death probability due malignant tumors based on a sampling survey area in China.

PURPOSE: To calculate the probability of one person's life-time death caused by a malignant tumor and provide theoretical basis for cancer prevention. MATERIALS AND METHODS: The probability of one person's death caused by a tumor was calculated by a probability additive formula and based on an abridged life table. All data for age-specific mortality were from the third retrospective investigation of death cause in China. RESULTS: The probability of one person's death caused by malignant tumor was 18.7% calculated by the probability additive formula. On the same way, the life-time death probability caused by lung cancer, gastric cancer, liver cancer, esophageal cancer, colorectal and anal cancer were 4.47%, 3.62%, 3.25%, 2.25%, 1.11%, respectively. CONCLUSIONS: Malignant tumor is still the main cause of death in one's life time and the most common causes of cancer death were lung, gastric, liver, esophageal, colorectal and anal cancers. Targeted forms of cancer prevention and treatment strategies should be worked out to improve people's health and prolong life in China. The probability additive formula is a more scientific and objective method to calculate the probability of one person's life-time death than cumulative death probability .

[Association between sedentary life style and risks of metabolic syndrome and diabetes mellitus type 2].

OBJECTIVE: To explore the association of sedentary life style with risk of metabolic syndrome (MS) and diabetes mellitus type 2(T2DM). METHODS: A total of 6 016 local residents aged 18 years or older in Fujian province were recruited by multi-stage stratified cluster sampling method in 2010-2011. Data, including demographic information, physical activity and sedentary time were collected. Indices related to height, weight, waist circumference, blood pressure and blood lipid were determined while MS and T2DM were diagnosed by IDF (2005) and WHO (1999) criteria. Logistic regression was used to estimate the correlations between sedentary behavior and MS or T2DM. RESULTS: The prevalence rates of MS and T2DM were 19.0% and 8.0% respectively, in local residents aged 18 years or older, in Fujian province. The overall rate of sedentary behavior was 18.1%, with the mean sedentary time as 4.3 hours. Both data showed significantly differences (P < 0.001) among control group,MS without T2DM group,MS with T2DM group and T2DM without MS group. Compared with the group of sedentary time <2.0 h/d, 1) the group with 2.0-3.5 h/d was significantly correlated with MT group (OR = 1.44, 95% CI:1.03-2.03, P < 0.05), 2) groups of 3.5-6.0 h/d and ≥6.0 h/d were significantly correlated with M, T, MT group, respectively (OR:1.49-1.76 and 1.28-1.58 respectively, 95% CI:1.19-2.45 and 1.02-2.23 respectively, P < 0.05), and 3) sedentary behavior was independently associated with an increased risk of MT group (OR = 1.82, 95% CI: 1.33-2.48, P < 0.01) and M group (OR = 1.43, 95%CI:1.14-1.78, P < 0.01), after the adjustment for factors as age, sex, cigarette smoking, alcohol drinking,BMI, education, occupation, sedentary behavior/sedentary time. CONCLUSION: MS and T2DM were associated with sedentary lifestyle, but these findings should be confirmed through further longitudinal studies.

Serum pepsinogens, gastrin-17 and Helicobacter pylori antibody in the residents of two cities in china with distinct mortality rates of gastric cancer.

Gastric cancer is one of the most common malignant tumors causing death in Fujian Province, China. However, the mortality of gastric cancer is greatly varied in different areas in Fujian; for example, the mortality in Changle City is 7.4 times higher than that in Fuan City. In this study, we compared the differences in serological parameters, pepsinogen (PG) I, PG II, gastrin-17 (G-17), and Helicobacter pylori (H. pylori) antibody, between the two cities. It has been reported that low serum PG I is correlated with atrophic gastritis, a high-risk condition for developing gastric cancer, while high serum G-17 has been used for serological detection of atrophic corpus gastritis. We recruited 224 healthy subjects in Changle and 229 healthy subjects in Fuan, matched in age and sex. The serum levels of PG II and G-17 were significantly higher in Changle than those in Fuan. Importantly, the frequency of the subjects with low serum PG I (< 25 µg/L) was significantly higher in Changle than in Fuan, although the serum PG I levels were similar between the two cities. Moreover, the percentage of the subjects with high serum G-17 (≥ 2 pmol/L) and the positive rate of serum IgG antibody against H. pylori were significantly higher in Changle than those in Fuan. The detected differences in these serological parameters are consistent with the notion that the prevalence of atrophic gastritis may be higher in Changle than in Fuan, which results in a higher risk condition for developing gastric cancer in Changle.