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Background Previous studies have confirmed that nicotine exposure is an independent risk factor for miscarriage, but it is not clear whether nicotine causes unexplained recurrent spontaneous abortion (URSA) through oxidative stress. Objective To explore potential mediating effect of oxidative stress on the relationship between nicotine exposure and URSA. Methods Using a 1∶1 matched case-control study, 88 patients with URSA visiting Beijing Obstetrics and Gynecology Hospital affiliated to Capital Medical University from April to October in 2018 were selected as the case group, and 88 pregnant women without adverse pregnancy outcomes and seeking induced abortion in the outpatient clinic of the same hospital were selected as the control group. The levels of 8-hydroxy-2'-deoxyguanosine (8-OHdG) and 8-iso-prostaglandin F2α (8-iso-PGF2α) in urine were determined by enzyme-linked immunosorbent assay, and the level of urinary nicotine was determined by gas chromatography-mass spectrometry. Conditional logistic regression was used to analyze the associations of nicotine, 8-OHdG, and 8-iso-PGF2α with the risk of URSA. Multiple linear regression was used to analyze the association of nicotine with 8-OHdG and 8-iso-PGF2α. The potential mediating effect of oxidative stress on URSA after nicotine exposure was explored by dichotomous mediating model. Results The median concentrations (creatinine corrected) of nicotine, 8-OHdG, and 8-iso-PGF2α in urine of the case group were 7.78, 4.84, and 44.10 μg·g−1, respectively, while those of the control group were 6.48, 3.34, and 29.39 μg·g−1, respectively. The concentrations of nicotine, 8-OHdG, and 8-iso-PGF2α in urine of the case group were all higher than those of the control group (P < 0.05). The results of conditional logistic regression model showed that after adjusting selected confounding factors, compared with the Q1 groups of nicotine and 8-iso-PGF2α, the OR (95%CI) values of URSA in the Q4 groups were 4.20 (1.33-13.29) and 6.25 (1.66-23.59), respectively. Compared with the Q1 group of 8-OHdG, the OR (95%CI) values of URSA in the Q1, Q2, and Q3 groups were 5.47 (1.43-20.93), 4.24 (1.28-14.07), and 6.36 (1.82-22.28), respectively. The results of multiple linear regression showed that after adjusting confounding factors, there was a positive correlation between urinary nicotine and 8-OHdG in both the case group and the control group, and the b (95%CI) values were 0.76 (0.67-0.86) and 0.81 (0.67-0.95) respectively; there was a positive correlation between urinary nicotine and 8-iso-PGF2α in both the case group and the control group, and the b (95%CI) values were 0.65 (0.55-0.75) and 0.76 (0.64-0.87), respectively. The results of dichotomous mediating analysis showed that the mediating effect of 8-iso-PGF2α and its 95%CI on the relationship between nicotine exposure and URSA was 1.518 (0.749-2.311). Conclusion Internal nicotine exposure is a risk factor for URSA and is positively correlated with oxidative stress, and it may lead to URSA through lipid peroxidation damage.
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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.
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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.
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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.
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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.
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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.
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Objective@#To explore the association of arsenic with unexplained recurrent spontaneous abortion (URSA).@*Methods@#A case-control study was conducted to select URSA patients who were admitted to the Beijing Maternal and Child Health Care Hospital affiliated to Capital Medical University from April to October 2018 as a case group. Women who had a normal pregnancy in the Family Planning Department of the hospital but volunteered to have an abortion were selected as a control group. The case and control group were paired in a 1: 1 ratio. The inclusion criteria of the case group were patients with newly diagnosed recurrent spontaneous abortion who had clinically confirmed more than 2 spontaneous abortions and had 20 weeks prior to pregnancy, excluding patients with recurrent spontaneous abortion caused by abnormal blood coagulation (anti-phospholipid antibody positive), abnormal physiological anatomy (B-ultrasound), abnormal immune factors (anti-nuclear antibody positive, anti-cardiolipin antibody, etc.), genetic chromosomal abnormalities (karyotype analysis) and pathogenic microbial infection. The control group was matched according to the age of the case group (±3 years old) and the gestational age (±2 weeks) to exclude adverse pregnancy outcomes such as stillbirth, congenital malformation, premature delivery and low birth weight infants. A total of 192 subjects were included. Questionnaires were used to collect information of all subjects, and 12 ml of peripheral venous blood was collected to detect blood arsenic levels. Blood arsenic levels were divided into low concentration group (<1.00 μg/L), medium concentration group (1.00-1.50 μg/L) and high concentration group (>1.50 μg/L). The multivariate conditional logistic regression was performed to analyze the relationship between blood arsenic exposure and URSA and explore the influencing factors of blood Arsenic.@*Results@#The geometric mean values of blood arsenic level in the cases group and control group were 1.68 (1.50-1.86) μg/L and 1.26 (1.17-1.37) μg/L, respectively. The blood arsenic level in the case group was significantly higher than that in the control group (P<0.05). The results of multivariate conditional logistic regression analysis showed that after adjusting for tobacco exposure during pregnancy, pre-pregnancy body mass index and the effects of residential decoration in past five years, the risk of URSA was higher in the high-concentration group compared with the low-concentration group (OR=2.56, 95%CI:1.06-6.24).@*Conclusion@#Blood arsenic may increase the risk of URSA in women of childbearing age.
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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.
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Objective To explore the sampling method in China National Human Biomonitoring Program (HBP) and the related errors,so as to calculate and evaluate the study design in sampling.Methods The sampling method of HBP is of multistage nature.Taking the results of sampling method from Guizhou province as an example,results related to sampling error and variation coefficient were calculated,using the multistage unequal probability sampling error method.Results The HBP covered 152 monitoring sites in 31 provinces (autonomous regions and municipalities) and with 21 888 residents selected.The replacement rates at various stages were 5.26％,6.35％ and 40.6％ respectively.The sampling error in Guizhou province was 3 207 594,and the coefficient of variation was 0.097.Conclusions According to the multi-stage unequal probability sampling method,the sampling coefficient variability appeared small with high precision,in Guizhou province.However,this method did not consider the weight adjustment of non-sampling errors such as population missing rate and response rate.Methods related to the calculation on multi-stage sampling error among large-scale public health monitoring projects need to be further studied.
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Objective To explore the sampling method in China National Human Biomonitoring Program (HBP) and the related errors,so as to calculate and evaluate the study design in sampling.Methods The sampling method of HBP is of multistage nature.Taking the results of sampling method from Guizhou province as an example,results related to sampling error and variation coefficient were calculated,using the multistage unequal probability sampling error method.Results The HBP covered 152 monitoring sites in 31 provinces (autonomous regions and municipalities) and with 21 888 residents selected.The replacement rates at various stages were 5.26％,6.35％ and 40.6％ respectively.The sampling error in Guizhou province was 3 207 594,and the coefficient of variation was 0.097.Conclusions According to the multi-stage unequal probability sampling method,the sampling coefficient variability appeared small with high precision,in Guizhou province.However,this method did not consider the weight adjustment of non-sampling errors such as population missing rate and response rate.Methods related to the calculation on multi-stage sampling error among large-scale public health monitoring projects need to be further studied.