Objective To investigate the prevalence of hepatitis D virus (HDV) infection among patients with chronic hepatitis B virus (HBV) infection in some regions of China. Methods Serum samples were collected from 3 131 patients with chronic HBV infection in 10 provinces, cities, and autonomous regions of China from March 2021 to June 2022, and anti-HDV IgG ELISA was used for the detection of all serum samples. Nested reverse transcription-polymerase chain reaction (nRT-PCR) was used to detect HDV RNA in anti-HDV IgG-positive samples, and the nRT-PCR amplification products of HDV RNA-positive samples were sequenced and analyzed to determine HDV genotype. The clinical features of anti-HDV IgG-positive patients were analyzed. The Mann-Whitney U rank sum test was used for comparison of continuous data between two groups, and the chi-square test or the Fisher's exact test was used for comparison of categorical data between two groups. Results The positive rate of anti-HDV IgG in the 3 131 patients with chronic HBV infection was 0.70% (22/3 131), and that in the patients with chronic HBV infection in Inner Mongolia Autonomous Region, Xinjiang Uygur Autonomous Region, Beijing, and Hunan Province was 1.81% (16/886), 0.88% (2/226), 0.28% (2/708), and 1.00% (2/200), respectively; the patients with chronic HBV infection in Inner Mongolia Autonomous Region had a significantly higher positive rate of anti-HDV IgG than those in Beijing ( P =0.004), and there was no significant difference between the other regions ( P > 0.05). Clinical features of the patients with chronic HBV infection in Inner Mongolia Autonomous Region showed that compared with the anti-HDV IgG-negative group, the anti-HDV IgG-positive group had a significantly higher proportion of patients with Mongol nationality ( P =0.001), abnormal alanine aminotransferase ( P =0.007), or antiviral treatment ( P =0.029), as well as a significantly lower median HBV DNA level ( P =0.030). A total of 19 HDV RNA-positive samples were identified, all of which had HDV genotype 1. Conclusion The prevalence rate of HDV varies greatly across different regions of China, with a higher prevalence rate of HDV in patients with chronic HBV infection from Inner Mongolia Autonomous Region. HDV genotype 1 is the predominant genotype in some provinces and cities of northern China.

Objective:To investigate the association between oxygen saturation (SpO 2) and risk of 3-year all-cause mortality among Chinese older adults aged 65 or over. Methods:The participants were enrolled from Healthy Aging and Biomarkers Cohort Study in year of 2012 to 2014 in 9 longevity areas in China. In this prospective cohort study, 2 287 participants aged 65 or over were enrolled. Data on SpO 2 and body measurements were collected at baseline in 2012, and data on survival outcome and time of mortality were collected at the follow-up in 2014. Participants were divided into two groups according to whether SpO 2 was abnormal (SpO 2<94% was defined as abnormal). Results:The 2 287 participants were (86.5±12.2) years old, 1 006 were males (44.0%), and 315 (13.8%) were abnormal in SpO 2. During follow-up in 2014, 452 were died, 1 434 were survived, and 401 were lost to follow-up. The all-cause mortality rate was 19.8%, and the follow-up rate was 82.5%. The mortality rate of SpO 2 in normal group was 21.1%, and that of abnormal group was 41.6% ( P<0.001). After adjusting for confounding factors, compared to participants with normal SpO 2, participants with abnormal SpO 2 had increased risk of all-cause mortality with HR (95% CI) of 1.62 (1.31-2.02); HR (95 % CI) was 1.49 (0.98-2.26) for males and 1.71 (1.30-2.26) for females in abnormal SpO 2group, respectively; HR (95% CI) was 2.70 (0.98-7.44) for aged 65-79 years old, 1.22 (0.63-2.38) for aged 80-89 years old, and 1.72 (1.35-2.19) for aged over 90 years old in abnormal SpO 2 group, respectively. Conclusion:Abnormal SpO 2 was responsible for increased risk of 3-year all-cause mortality among Chinese elderly adults.

Objective:To investigate the association between oxygen saturation (SpO 2) and risk of 3-year all-cause mortality among Chinese older adults aged 65 or over. Methods:The participants were enrolled from Healthy Aging and Biomarkers Cohort Study in year of 2012 to 2014 in 9 longevity areas in China. In this prospective cohort study, 2 287 participants aged 65 or over were enrolled. Data on SpO 2 and body measurements were collected at baseline in 2012, and data on survival outcome and time of mortality were collected at the follow-up in 2014. Participants were divided into two groups according to whether SpO 2 was abnormal (SpO 2<94% was defined as abnormal). Results:The 2 287 participants were (86.5±12.2) years old, 1 006 were males (44.0%), and 315 (13.8%) were abnormal in SpO 2. During follow-up in 2014, 452 were died, 1 434 were survived, and 401 were lost to follow-up. The all-cause mortality rate was 19.8%, and the follow-up rate was 82.5%. The mortality rate of SpO 2 in normal group was 21.1%, and that of abnormal group was 41.6% ( P<0.001). After adjusting for confounding factors, compared to participants with normal SpO 2, participants with abnormal SpO 2 had increased risk of all-cause mortality with HR (95% CI) of 1.62 (1.31-2.02); HR (95 % CI) was 1.49 (0.98-2.26) for males and 1.71 (1.30-2.26) for females in abnormal SpO 2group, respectively; HR (95% CI) was 2.70 (0.98-7.44) for aged 65-79 years old, 1.22 (0.63-2.38) for aged 80-89 years old, and 1.72 (1.35-2.19) for aged over 90 years old in abnormal SpO 2 group, respectively. Conclusion:Abnormal SpO 2 was responsible for increased risk of 3-year all-cause mortality among Chinese elderly adults.

Objective: To analyze influencing factors for depressive symptoms in the elderly aged 65 years and older in 8 longevity areas in China. Methods: We recruited 2 180 participants aged 65 years and older in 8 longevity areas from Healthy Aging and Biomarkers Cohort Study, a sub-cohort of the Chinese Longitudinal Healthy Longevity Survey in 2017. Multivariate logistic regression analysis was performed to evaluate the relationships of socio-demographic characteristics, behavioral lifestyle, chronic disease prevalence, functional status, family and social support with depressive symptoms in the elderly. Results: The detection rate of depression symptoms was 15.0% in the elderly aged 65 years and older in 8 longevity areas of China, and the detection rate of depression symptoms was 11.5% in men and 18.5% in women. Multivariate logistic regression analysis results showed that the detection rate of depressive symptoms was lower in the elderly who had regular physical exercises (OR=0.44, 95%CI: 0.26-0.74), frequent fish intakes (OR=0.57, 95%CI: 0.39-0.83), recreational activities (OR=0.65, 95%CI: 0.44-0.96), social activities (OR=0.28, 95%CI: 0.11-0.73) and community services (OR=0.68, 95%CI: 0.50-0.93). The elderly who were lack of sleep (OR=2.04, 95%CI: 1.49-2.80), had visual impairment (OR=1.54, 95%CI: 1.08-2.18), had gastrointestinal ulcer (OR=2.97, 95%CI: 1.53-5.77), had arthritis (OR=2.63, 95%CI: 1.61-4.32), had higher family expenditure than income (OR=1.80, 95%CI: 1.17-2.78) and were in poor economic condition (OR=4.58, 95%CI: 2.48-8.47) had higher detection rate of depressive symptoms. Conclusion The status of doing physical exercise, fish intake in diet, social activity participation, sleep quality or vision, and the prevalence of gastrointestinal ulcers and arthritis were associated with the detection rate of depressive symptoms in the elderly.

Objective: To understand the current status of BMI of the elderly and related factors in longevity areas in China, and provide scientific evidence for the control of BMI level in elderly population. Methods: Data used in this study were obtained from Healthy Aging and Biomarkers Cohort Study, a sub-cohort of the Chinese Longitudinal Healthy Longevity Survey. A total of 2 825 elderly in 8 longevity areas in China were surveyed and measured in 2017. The BMI levels of 2 217 elderly aged 65 years and older were calculated and in follow up. The ordered classification logistic regression model was used to analyze the influencd factors for the BMI in the elderly. Results: The BMI of the elderly in 8 longevity areas in China was (22.36±3.87) kg/m², and it was (22.76±3.58) kg/m² for males and (21.75±3.98) kg/m² for females. The BMI levels were normal in 1 165 elderly persons. The prevalence of underweight, overweight and obesity were 15.8%, 24.0% and 7.7%, respectively. Multivariate analysis showed that the main factors affecting the BMI of people under 100- years old were age (65-: OR=2.78, 95%CI: 1.87-4.15; 80-: OR=1.47, 95%CI: 1.00-2.17), smoking status (OR=0.46, 95%CI: 0.32-0.66), annual household income (<30 000 Yuan: OR=1.26, 95%CI: 1.07-1.47; 30 000-70 000 Yuan: OR=1.52, 95%CI: 1.12-1.86), and frequency of tea intake(OR=1.36, 95%CI: 1.01-1.71), while the factor in people aged ≥100 years was gender (OR=3.68, 95%CI: 1.32-10.36). Conclusions The prevalence of underweight, overweight and obesity were high in the elderly from longevity areas in China. It is necessary to pay attention to the trend of overweight and obesity due to smoking, higher annual household income and regular tea drinking in the elderly men.

Objective: To understand the relationship between visual impairment and risk of all-cause mortality in the elderly aged 65 years and older in 8 longevity areas in China. Methods: The data of the elderly aged 65 years and older in the project in 2012 were obtained from Healthy Aging and Biomarkers Cohort Study, a sub-cohort of the Chinese Longitudinal Healthy Longevity Survey, including physical measurement and survival status, and a follow-up for survival outcomes were conducted in 2014 and 2017 respectively. Cox proportional hazard regression model was used to analyze the influence of visual impairment on mortality. Gender and age specific analysis was conducted. Results: A total of 1 736 elderly adults were included. A total of 943 deaths occurred during the 5-year follow-up period with a 5-year mortality rate of 54.3%. The 5-year mortality rate was 76.7% in the group with visual impairment, and 47.6% in the group without visual impairment (P<0.001). After adjusting for demographic information, life style and some disease factors, the risk of 5-year mortality in the group with visual impairment group was 1.30 times higher than that in the group without visual impairment (HR=1.30, 95%CI: 1.09-1.55). In the females, the risk for mortality in the group with visual impairment was 1.48 times higher than that in the group without visual impairment (HR=1.48, 95%CI:1.20-1.84). However, vision status was not associated with the risk for mortality in males (HR=1.02, 95%CI: 0.72-1.43). The risk for mortality in the group with visual impairment was 1.39 times higher than that in the group without visual impairment in the elderly aged over 90 years (HR=1.39, 95%CI: 1.13-1.70). Vision status was not associated with mortality risk in the elderly aged 65-79 years and 80-89 years (HR=1.37, 95%CI: 0.61-3.07; HR=0.95, 95%CI: 0.61-1.48). Conclusion In the elderly people in China, visual impairment is a risk factor for mortality.

Objective: To investigate the association between estimated glomerular filtration rate (eGFR) and all-cause mortality in the elderly aged 65 years and older in longevity areas in China. Methods: Data used in this study were obtained from Healthy Aging and Biomarkers Cohort Study, a sub-cohort of the Chinese Longitudinal Healthy Longevity Survey, 1 802 elderly adults were collected in the study during 2012-2017/2018. In this study, the elderly were classified into 4 groups, moderate-to-severe group [<45 ml·min^-1·(1.73 m²)^-1], mild-to-moderate group [45- ml·min^-1·(1.73 m²)^-1], mild group [60- ml·min^-1·(1.73 m²)^-1] and normal group [≥90 ml·min^-1·(1.73 m²)^-1] according to their eGFR levels. Results: After 6 years of follow-up, 852 participants died, with a mortality rate of 47.3%. Multivariate Cox regression analysis showed that the levels of eGFR were negatively correlated with all-cause mortality risk in the elderly (the HR of elderly was 0.993 and the 95%CI was 0.989-0.997 for every unit of eGFR increased, P=0.001), while compared with the group with normal eGFR, the HRs (95%CI) of the elderly in the moderate-to-severe group, mild-to-moderate group, and mild group were 1.690 (1.224-2.332, P=0.001), 1.312 (0.978-1.758, P=0.070), 1.349 (1.047-1.737, P=0.020) respectively [trend test P<0.001]. Conclusion The decrease in eGFR was associated with higher mortality risk among the elderly in longevity areas in China.

Objective: To establish a prediction model for 6-year incidence risk of chronic kidney disease (CKD) in the elderly aged 65 years and older in China. Methods: In this prospective cohort study, we used the data of 3 742 participants collected during 2008/2009-2014 and during 2012-2017/2018 from Healthy Aging and Biomarkers Cohort Study, a sub-cohort of the Chinese Longitudinal Healthy Longevity Survey. Two follow up surveys for renal function were successfully conducted for 1 055 participants without CKD in baseline survey. Lasso method was used for the selection of risk factors. The risk prediction model of CKD was established by using Cox proportional hazards regression models and visualized through nomogram tool. Bootstrap method (1 000 resample) was used for internal validation, and the performance of the model was assessed by C-index and calibration curve. Results: The mean age of participants was (80.8±11.4) years. In 4 797 person years of follow up, CKD was found in 262 participants (24.8%). Age, BMI, sex, education level, marital status, having retirement pension or insurance, hypertension prevalence, blood uric acid, blood urea nitrogen and total cholesterol levels and estimated glomerular filtration rate in baseline survey were used in the model to predict the 6-year incidence risk of CKD in the elderly. The corrected C-index was 0.766, the calibration curve showed good consistence between predicted probability and observed probability in high risk group, but relatively poor consistence in low risk group. Conclusion The incidence risk prediction model of CKD established in this study has a good performance, and the nomogram can be used as visualization tool to predict the 6-year risk of CKD in the elderly aged 65 years and older in China.

The size of the non-sampling error is directly related to the accuracy and reliability of the sampling survey result. This paper studied the non-sampling errors generated during the sampling process of the China National Human Biomonitoring Program(CNBP), mainly including the sampling frame error, non-response error and measurement error. The program reduced the influence of the non-sampling error on the quality of the survey effectively by scientifically designing the sampling scheme and questionnaire, strengthening investigator trainings and standardizing the data review, which could be used to provide reference for the control of non-sampling errors in public health monitoring projects in China.

Objective To investigate the predictive effect of serum CDH13 methylation for the progression after TURBT in the patients with non-muscle invasive bladder cancer.Methods Ninety-eight patients with non-muscle invasive bladder cancer treated by TURBT in this hospital from January 2010 to January 2012 were selected.The methylation specific PCR was used to detect the methylation status of serum CDH13.Then its correlation with the clinicopathological data as well as postoperative progression situation was analyzed.Results Serum CDH13 methylation was detected in 52 cases (53.1％),moreover serum CDH13 methylation was closely correlated with tumor size,grade and number (P＜0.05).During follow-up,20 cases (20.4％) appeared the tumor progression.The Kaplan-Meier analysis and log-rank test found that the patients with serum CDH13 methylation had shorter progression-free survival rate than the patients without serum CDH13 methylation,and the difference was statistically significant (P=0.007).The Cox regression analysis showed that serum CDH13 methylation was an independent risk factor for the progression after TURBT in non-muscle invasive bladder cancer.Conclusion Serum CDH13 methylation can serve as a predictive indicator of the progression after TURBT in non-muscle invasive bladder cancer.