Objective:To describe the distribution characteristics of alcohol consumption in adult twins in the Chinese National Twin Registry (CNTR), and further explore the influence of genetic factors on alcohol consumption in adult twins.Methods:The subjects of the study were twins registered by CNTR in 11 project areas across China from 2010 to 2018. A total of 56 966 twins (28 483 pairs) aged 18 years and above who answered questions about drinking behavior were included, and the random effect model was used to describe the population and regional distribution characteristics of alcohol consumption. Intra-pair analysis was performed to calculate the concordance rate and heritability of their alcohol consumption.Results:The age of all subjects was (36.6±12.0) years, and current drinkers accounted for 16.6% (9 461/56 966) of all subjects. In men, those aged 50-59 years, those in northern China, those living in rural area, those with low education level and those with high BMI, the proportions of current drinkers were higher. After excluding 468 pairs of twins who had stopped alcohol use and 21 764 pairs of twins who had no drink or had small amount drink, an intra-pair analysis was conducted in 4 929 pairs of same-sex twins, and found that the concordance rate of alcohol consumption was 64.0% (2 059/3 215) in monozygotic twins, and 52.6% (902/1 714) in dizygotic twins, the difference was significant ( P<0.001), and the heritability of alcohol consumption was 24.1% (95% CI: 18.9%- 29.3%). The further stratified analysis found that in southern men, the heritability was highest in those aged 40-49 years (36.1%, 95% CI: 21.6%-50.7%), while in northern men, the heritability was highest in those aged 50-59 years (34.2%, 95% CI: 18.1%-50.3%). Conclusions:In adult twins in China, there were population and regional differences in the distribution of alcohol consumption behavior, and alcohol consumption was influenced by genetic factors, and gender, age and region had potential modifying effects.

Objective:To analyze the impact of changes in cardiovascular and cerebrovascular diseases mortality on the gender gap in life expectancy among Tianjin residents from 2004 to 2020.Methods:This is a cross-sectional study. The data sources included all-cause death surveillance data collected by the Tianjin Centre for Disease Control and Prevention, covering the entire population of Tianjin from 2004 to 2020, and the number of urban and rural residents by age, sex, and urban and rural areas from the Population Management Office of the Tianjin Public Security Bureau during the same period. The abbreviated life table and Arriaga′s decomposition method were applied to analyze the cause-of-death surveillance data of Tianjin residents from 2004 to 2020, and to calculate the impact of changes in mortality rates of cardiovascular and cerebrovascular diseases on gender differences in life expectancy by age, subcategory, and urban and rural areas.Results:In 2004, there were 56 189 deaths among Tianjin residents, including 31 233 males and 24 956 females. In 2020, there were 79 782 deaths among Tianjin residents, including 44 829 males and 34 953 females. The gender difference in life expectancy attributable to cardiovascular and cerebrovascular diseases among Tianjin residents increased from 1.52 years in 2004 to 2.02 years in 2020, with females having a longer life expectancy than males. The cumulative impact rate was higher among residents aged 40-74 years, increasing from 26.41% to 33.48%, while the cumulative impact rate among residents aged≥75 declined from 12.66% to 8.54%. The impact rates of intracerebral hemorrhage and cerebral infarction decreased significantly during the observation period, with intracerebral hemorrhage impact rate decreasing from 13.21% to 6.12% and cerebral infarction impact rate decreasing from 11.32% to 5.02%. The impact rate of acute myocardial infarction decreased but remained at a high level, from 9.70% to 6.99%. The impact rate of sequelae of cerebrovascular disease and other coronary heart diseases increased significantly, with the impact rate of sequelae of cerebrovascular disease increasing from 0.54% to 14.42% and the impact rate of other coronary heart diseases rising from 1.35% to 6.34%. The impact of sequelae of cerebrovascular disease deaths on the gender difference in life expectancy was greater in urban areas compared to rural areas, with an increase of 2 101.41% in urban areas and 1 898.51% in rural areas.Conclusions:The gender difference in life expectancy attributable to cardiovascular and cerebrovascular diseases among Tianjin residents is widening. Attention should be paid to the prevention of cerebrovascular disease sequelae and other coronary heart diseases among males aged of 40-74 years in urban areas.

With the rapid development of the interdisciplinary area of artificial intelligence and medi-cine,large language model(LLM)has been widely used in the fields such as diagnosis and treatment,medi-cine,and healthcare.LLM has unique advantages in the field of traditional Chinese medicine(TCM),such as high consistency with the"Four Diagnostic Methods",perfect combination of natural language and self-super-vised learning in TCM,the ability to adapt to the characteristics TCM formulas,and the assistance in TCM di-agnosis and treatment.At present,various LLM models have been developed,including the"Qihuang Ask Big Model"and the Digital Traditional Chinese Medicine Big Model"GLM-130B",but they still face challenges such as value mismatch and medical abuse,increased demand for interpretability,lack of advanced technolo-gy,and domestic policy access.This article reviews the evolution of LLM,its unique advantages and applica-tions in the field of TCM,the problems and challenges,and the future development trends,in order to provide reference for the further promotion of LLM in traditional medicine.

This study aims to describe the population and regional distribution characteristics of smoking behavior among adult twins in the China Twin Registry (CNTR), as well as the concordance rates for smoking behavior in monozygotic and dizygotic twins, and estimate the heritability. The study population included adult twins in CNTR who had smoking questionnaire data. A random-effects regression model was used to describe the distribution of smoking behavior among different subgroups based on various characteristics. The concordance of smoking behavior between different zygosity groups was calculated, and heritability was estimated. A total of 28 444 twin pairs were included in this study, with an average age of (36.6±12.0) years. Among male twins, 41.2% were current smokers, while only 1.2% of females smoked. Higher smoking rates were observed among male smokers in the 50-59 age group ( z=23.0, P<0.001), northern regions ( z=2.9, P<0.01), rural areas ( z=-5.2, P<0.001), those who were divorced/widowed ( z=3.8, P<0.001), and first-born twins ( z=-4.3, P<0.001), while lower smoking rates were found in those with higher education ( z=-16.1, P<0.001) and unmarried individuals ( z=-16.0, P<0.001). The smoking concordance rate for male monozygotic twins was 69.6%, significantly higher than the 57.3% concordance rate for dizygotic twins ( χ 2=105.0, P<0.05). The heritability of smoking behavior in male twins was estimated at 28.9% (95% CI: 24.3%-33.4%). Stratified analyses showed differences in heritability across regions and age groups: the heritability in northern regions was 32.6% (95% CI: 27.3%-38.0%), higher than the 21.0% (95% CI: 12.4%-29.5%) observed in southern regions; the highest heritability of 35.1% (95% CI: 26.3%-43.9%) was found in the 18-29 age group, with heritability decreasing with age. In conclusion, the smoking rate and influencing factors in the twin population are similar to those in the general population, with unique characteristics, such as higher smoking rates in first-born twins. Genetic factors have a significant impact on smoking behavior.

This study aims to describe the population and regional distribution characteristics of smoking behavior among adult twins in the China Twin Registry (CNTR), as well as the concordance rates for smoking behavior in monozygotic and dizygotic twins, and estimate the heritability. The study population included adult twins in CNTR who had smoking questionnaire data. A random-effects regression model was used to describe the distribution of smoking behavior among different subgroups based on various characteristics. The concordance of smoking behavior between different zygosity groups was calculated, and heritability was estimated. A total of 28 444 twin pairs were included in this study, with an average age of (36.6±12.0) years. Among male twins, 41.2% were current smokers, while only 1.2% of females smoked. Higher smoking rates were observed among male smokers in the 50-59 age group ( z=23.0, P<0.001), northern regions ( z=2.9, P<0.01), rural areas ( z=-5.2, P<0.001), those who were divorced/widowed ( z=3.8, P<0.001), and first-born twins ( z=-4.3, P<0.001), while lower smoking rates were found in those with higher education ( z=-16.1, P<0.001) and unmarried individuals ( z=-16.0, P<0.001). The smoking concordance rate for male monozygotic twins was 69.6%, significantly higher than the 57.3% concordance rate for dizygotic twins ( χ 2=105.0, P<0.05). The heritability of smoking behavior in male twins was estimated at 28.9% (95% CI: 24.3%-33.4%). Stratified analyses showed differences in heritability across regions and age groups: the heritability in northern regions was 32.6% (95% CI: 27.3%-38.0%), higher than the 21.0% (95% CI: 12.4%-29.5%) observed in southern regions; the highest heritability of 35.1% (95% CI: 26.3%-43.9%) was found in the 18-29 age group, with heritability decreasing with age. In conclusion, the smoking rate and influencing factors in the twin population are similar to those in the general population, with unique characteristics, such as higher smoking rates in first-born twins. Genetic factors have a significant impact on smoking behavior.

Objective:To describe the distribution characteristics of alcohol consumption in adult twins in the Chinese National Twin Registry (CNTR), and further explore the influence of genetic factors on alcohol consumption in adult twins.Methods:The subjects of the study were twins registered by CNTR in 11 project areas across China from 2010 to 2018. A total of 56 966 twins (28 483 pairs) aged 18 years and above who answered questions about drinking behavior were included, and the random effect model was used to describe the population and regional distribution characteristics of alcohol consumption. Intra-pair analysis was performed to calculate the concordance rate and heritability of their alcohol consumption.Results:The age of all subjects was (36.6±12.0) years, and current drinkers accounted for 16.6% (9 461/56 966) of all subjects. In men, those aged 50-59 years, those in northern China, those living in rural area, those with low education level and those with high BMI, the proportions of current drinkers were higher. After excluding 468 pairs of twins who had stopped alcohol use and 21 764 pairs of twins who had no drink or had small amount drink, an intra-pair analysis was conducted in 4 929 pairs of same-sex twins, and found that the concordance rate of alcohol consumption was 64.0% (2 059/3 215) in monozygotic twins, and 52.6% (902/1 714) in dizygotic twins, the difference was significant ( P<0.001), and the heritability of alcohol consumption was 24.1% (95% CI: 18.9%- 29.3%). The further stratified analysis found that in southern men, the heritability was highest in those aged 40-49 years (36.1%, 95% CI: 21.6%-50.7%), while in northern men, the heritability was highest in those aged 50-59 years (34.2%, 95% CI: 18.1%-50.3%). Conclusions:In adult twins in China, there were population and regional differences in the distribution of alcohol consumption behavior, and alcohol consumption was influenced by genetic factors, and gender, age and region had potential modifying effects.

Objective:To analyze the impact of changes in cardiovascular and cerebrovascular diseases mortality on the gender gap in life expectancy among Tianjin residents from 2004 to 2020.Methods:This is a cross-sectional study. The data sources included all-cause death surveillance data collected by the Tianjin Centre for Disease Control and Prevention, covering the entire population of Tianjin from 2004 to 2020, and the number of urban and rural residents by age, sex, and urban and rural areas from the Population Management Office of the Tianjin Public Security Bureau during the same period. The abbreviated life table and Arriaga′s decomposition method were applied to analyze the cause-of-death surveillance data of Tianjin residents from 2004 to 2020, and to calculate the impact of changes in mortality rates of cardiovascular and cerebrovascular diseases on gender differences in life expectancy by age, subcategory, and urban and rural areas.Results:In 2004, there were 56 189 deaths among Tianjin residents, including 31 233 males and 24 956 females. In 2020, there were 79 782 deaths among Tianjin residents, including 44 829 males and 34 953 females. The gender difference in life expectancy attributable to cardiovascular and cerebrovascular diseases among Tianjin residents increased from 1.52 years in 2004 to 2.02 years in 2020, with females having a longer life expectancy than males. The cumulative impact rate was higher among residents aged 40-74 years, increasing from 26.41% to 33.48%, while the cumulative impact rate among residents aged≥75 declined from 12.66% to 8.54%. The impact rates of intracerebral hemorrhage and cerebral infarction decreased significantly during the observation period, with intracerebral hemorrhage impact rate decreasing from 13.21% to 6.12% and cerebral infarction impact rate decreasing from 11.32% to 5.02%. The impact rate of acute myocardial infarction decreased but remained at a high level, from 9.70% to 6.99%. The impact rate of sequelae of cerebrovascular disease and other coronary heart diseases increased significantly, with the impact rate of sequelae of cerebrovascular disease increasing from 0.54% to 14.42% and the impact rate of other coronary heart diseases rising from 1.35% to 6.34%. The impact of sequelae of cerebrovascular disease deaths on the gender difference in life expectancy was greater in urban areas compared to rural areas, with an increase of 2 101.41% in urban areas and 1 898.51% in rural areas.Conclusions:The gender difference in life expectancy attributable to cardiovascular and cerebrovascular diseases among Tianjin residents is widening. Attention should be paid to the prevention of cerebrovascular disease sequelae and other coronary heart diseases among males aged of 40-74 years in urban areas.

Objective:Analyze the impact of smoking on the mortality and life expectancy of residents in Tianjin in 2019.Methods:Use mortality case-control study method to collect all cause of death cases of residents in Tianjin in 2019 for analysis. After adjusting for the 5-years-old age group, education level, and marital status, the smoking attributed deaths from different diseases of different genders, smoking attributed deaths in different age groups, and their impact on life expectancy were analyzed.Results:The total number of deaths in 2019 was 75 254, with 42 201 males (56.1%). Among male deaths, 3 215 (9.9%) were attributed to smoking, of which 2 157 (50.2%) lung cancer deaths were attributed to smoking; The risk of lung cancer death among smokers was 3.075 times higher than that of non-smokers (95% CI: 2.812-3.364); Among the 33 053 female deaths (43.9%), 1 396 (5.8%) were caused by smoking, with 744 (29.1%) lung cancer deaths attributed to smoking. The age group with the highest number of deaths attributed to smoking for women was the 75-<80 years old age group, followed by the 70-<75 and 80-<85 years old age groups. The age group with the highest proportion of deaths attributed to smoking for men was the 55-<60 years old age group. In addition, smoking accounts for more than 60% of deaths in the 60-<65, 45-<50, 55-<60, and 65-<70 years old age groups. In 2019, the loss of life expectancy attributed to smoking deaths among all residents in Tianjin was 1.13 years, with a loss of 1.15 years for males and 0.57 years for females. The expected life expectancy excluding deaths caused by smoking was 82.92 years, 80.77 years for males and 84.61 years for females. Conclusions:Smoking remains one of the important risk factors for death among residents. Promoting effective measures to reduce smoking rates is an effective way to increase life expectancy.

Objective:Survival analysis of cancers' incidence data in Tianjin from 2010 to 2016 was conducted to provide the basis for formulating and evaluating regional health policies on cancer prevention and treatment.Methods:Registration data in Tianjin were used between January 1, 2010 to December 31, 2016 and patients were followed-up till 31 December, 2021. Life-table method was used to calculate the observed survival rate and Edered Ⅱ was used to calculate the relative survival rate. The data were stratified by year, gender, age group and cancer sites. Difference in survival curves between group was analyzed by Kaplan-Meier method and Log rank test. Joinpoint regression model was used to analyze the trend change.Results:The 5-year relative survival rates of cancer were 41.92% to 53.65% from 2010 to 2016 for residents in Tianjin, with an increasing trend ( t=4.81 ,P=0.005), and the average was 48.56%. The survival rate of females was higher than that of males (57.71%vs. 39.20%), and the survival rate of urban residents was higher than that of rural residents (49.38% vs. 47.24%). The 5-year relative survival rates were 63.14%, 78.39%, 58.25% and 32.67% in 0-14, 15-44, 45-64 and 65 and above age groups, respectively. The median relative survival times of all cancer were 2.34 to 6.00 years from 2010 to 2016 in Tianjin, with an increasing trend ( t=3.86, P=0.012). The average of median relative survival times was 4.11 years. The median survival time of females was longer than that of males (11.99 years vs. 2.03 years), and the time of urban residents were longer than that of rural residents (4.60 years vs. 3.43 years). The median relative survival time were 12.07, 11.92 and 1.34 years in 15-44, 45-64 and 65 and above age groups, respectively. Conclusions:The cumulative survival rate of cancer increased significantly from 2010 to 2016 in Tianjin, indicating that the prevention and treatment effect of cancer is obvious. The focus should be on male, rural areas, higher age group, and targeted prevention and treatment measures should be taken to lung, esophagus, liver, gallbladder and pancreatic cancer.

Objective:To analyze the effects of changes in the spectrum of deaths from malignant tumors on the life expectancies of residents of different ages, sexes, and regions (urban or rural) in Tianjin from 1999 to 2019.Methods:The Abridged Life Table method and the Arriaga's decomposition method were used to calculate the effects of changes in spectrum of deaths from malignant tumors on the life expectancies of Tianjin residents of different ages, sexes, and regions.Results:During 1999-2019, the life expectancies increased by 4.96 years and 5.69 years for males and females, respectively, in Tianjin. The decreases in the mortalities from malignant neoplasms contributed 0.12 year (3.30%) and 0.03 year (0.77%) for males and females, respectively, to the increase during 1999-2007, and 0.05 year (3.13%) and 0.12 year (6.08%) for males and females, respectively, during 2007-2019. The decreases in the mortality rates of malignant tumors contributed the most to the increase among residents in the 60-69 years group, and the decreases in mortality rates of lung, gastric, esophageal, and liver cancers had relatively larger contribution. Lung cancer had a negative effect on the life expectancies of men and rural residents, but a positive effect on those of women and urban residents. The significant increases in the mortality rates of lung, colorectal, and pancreatic cancers in the ≥85 years group had a large negative effect on the overall life expectancy. Breast and ovarian cancers contributed negatively to the life expectancy of female residents.Conclusion:The overall increase in the life expectancy in Tianjin from 1999 to 2019 was mainly attributed to the elderly and the decreases in the mortality rates of gastric, esophageal, and liver cancers, among other malignancies, while the increases in the mortality rates of lung, colorectal, gallbladder, pancreatic, and breast cancers were the most significant factors hindering the increase of the life expectancy in Tianjin.