Objective:To evaluate the association between body mass index (BMI) and bone mineral density of calcaneus in adults.Methods:Data of the second resurvey of China Kadoorie Biobank study from Tongxiang of Zhejiang Province were used. A total of 2 896 participants aged 44-84 years were included in the final analysis. Overweight was defined as 23.0 kg/m 2≤BMI<25.0 kg/m 2, and obesity was defined as BMI ≥25.0 kg/m 2 based on the criteria recommended by WHO/West Pacific Region. Multiple linear regression model was used to evaluate the association between BMI and calcaneus bone mineral density. Restricted cubic splines were used to investigate the dose-response relationship between BMI and calcaneus bone mineral density. Results:The calcaneus bone mineral density in the study subjects were as follow ( x± SE): the broadband ultrasound attenuation was (109.4±12.1) dB/MHz, the speed of ultrasound was (1 545.9±33.8) m/s, and the stiffness index was 85.7±15.8. After adjusting for socio-demographic factors, lifestyle, waist circumference, diabetes and hypertension prevalence, BMI was positively associated with calcaneus stiffness index in non-overweight and non-obese adults, with β of 2.30 (95% CI: 1.11-3.49) for men ( P<0.001) and 1.08 (95% CI: 0.38-1.78) for women ( P=0.003), respectively. In addition, BMI was positively associated with calcaneus stiffness index in overweight and obese women ( β=0.90, 95% CI: 0.38-1.42) ( P<0.001), and null association was found in overweight and obese men ( β=0.06, 95% CI: -0.92-1.04) ( P=0.900). Restricted cubic spline model showed a nonlinear dose-response relationship between BMI and calcaneus stiffness index. Conclusion:Non-linear association was found between BMI with calcaneus bone mineral density in adults.

Objective:To evaluate the association between body mass index (BMI) and bone mineral density of calcaneus in adults.Methods:Data of the second resurvey of China Kadoorie Biobank study from Tongxiang of Zhejiang Province were used. A total of 2 896 participants aged 44-84 years were included in the final analysis. Overweight was defined as 23.0 kg/m 2≤BMI<25.0 kg/m 2, and obesity was defined as BMI ≥25.0 kg/m 2 based on the criteria recommended by WHO/West Pacific Region. Multiple linear regression model was used to evaluate the association between BMI and calcaneus bone mineral density. Restricted cubic splines were used to investigate the dose-response relationship between BMI and calcaneus bone mineral density. Results:The calcaneus bone mineral density in the study subjects were as follow ( x± SE): the broadband ultrasound attenuation was (109.4±12.1) dB/MHz, the speed of ultrasound was (1 545.9±33.8) m/s, and the stiffness index was 85.7±15.8. After adjusting for socio-demographic factors, lifestyle, waist circumference, diabetes and hypertension prevalence, BMI was positively associated with calcaneus stiffness index in non-overweight and non-obese adults, with β of 2.30 (95% CI: 1.11-3.49) for men ( P<0.001) and 1.08 (95% CI: 0.38-1.78) for women ( P=0.003), respectively. In addition, BMI was positively associated with calcaneus stiffness index in overweight and obese women ( β=0.90, 95% CI: 0.38-1.42) ( P<0.001), and null association was found in overweight and obese men ( β=0.06, 95% CI: -0.92-1.04) ( P=0.900). Restricted cubic spline model showed a nonlinear dose-response relationship between BMI and calcaneus stiffness index. Conclusion:Non-linear association was found between BMI with calcaneus bone mineral density in adults.

Objective:To explore the prospective associations between physical activity and incident ischemic stroke in adults.Methods:Data of China Kadoorie Biobank study in Tongxiang of Zhejiang were used. After excluding participants with cancers, strokes, heart diseases and diabetes at baseline study, a total of 53 916 participants aged 30-79 years were included in the final analysis. The participants were divided into 5 groups according to the quintiles of their physical activity level. Cox proportional hazard regression models was used to calculate the hazard ratios ( HR) for the analysis on the association between baseline physical activity level and risk for ischemic stroke. Results:The total physical activity level in the participants was (30.63±15.25) metabolic equivalent (MET)-h/d, and it was higher in men [(31.04±15.48) MET-h/d] than that in women [(30.33±15.07) MET-h/d] ( P<0.001). In 595 526 person-years of the follow-up (average 11.4 years), a total of 1 138 men and 1 082 women were newly diagnosed with ischemic stroke. Compared to participants with the lowest physical activity level (<16.17 MET-h/d), after adjusting for socio-demographic factors, lifestyle, BMI, waist circumference, and SBP, the HRs for the risk for ischemic stroke in those with moderate low physical activity level (16.17-24.94 MET-h/d), moderate physical activity level (24.95-35.63 MET-h/d), moderate high physical activity level (35.64-43.86 MET-h/d) and the highest physical activity level (≥43.87 MET-h/d) were 0.93 (95% CI: 0.83-1.04), 0.87 (95% CI: 0.76-0.98), 0.82 (95% CI: 0.71-0.95) and 0.76 (95% CI: 0.64-0.89), respectively. Conclusion:Improving physical activity level has an effect on reducing the risk for ischemic stroke.

Objective:To evaluate the effect of comprehensive intervention combined with clinical preventive services and lifestyle adjustment on high-risk populations of cardiovascular disease.Methods:In 2015, 4 towns (streets) in Tongxiang City, of Zhejiang Province including Heshan Town, Longxiang Street, Wutong Street, and Fengming Street, were selected by using the typical sampling. The towns (streets) were allocated to the intervention group (Heshan Town and Longxiang Street) and the control group (Wutong Street and Fengming Street) by using the cluster random sampling. In each town (street), hypertension patients aged 50 to 74 years old who were taking community medicine management and with a 10-year cardiovascular disease risk ≥10% were recruited as subjects. There were 1 823 subjects in the intervention group and 1 883 in the control group. The intervention group was given a 1-year comprehensive intervention combining clinical preventive services and lifestyle adjustment, while the control group received routine chronic disease management. After the intervention, the final questionnaire investigation was conducted and health physical examination data were obtained. The death, acute coronary heart disease events and stroke incidence were the primary outcomes, and cardiovascular disease-related knowledge and behavior, clinical preventive services utilization, physical changes, blood fat index and 10-year cardiovascular disease risk were the secondary outcomes. The difference-in-difference model was used to evaluate the effects of interventions.Results:The age of subjects in the intervention and control group was (68.76±3.75) and (67.90±4.56) years old, respectively. After 1-year intervention, the incidence of mortality, acute coronary events and stroke in intervention group was 1.65% (30 cases), 0.27% (5 cases) and 2.69% (49 cases), respectively, which showed no statistical difference compared to the control group [1.33% (25 cases), 0.32% (6 cases) and 2.07% (39 cases)]. After adjusting for the age, gender, education, marital status, self-assessed family income level and situation of taking antihypertensive drugs, the difference-in-difference model showed that the body mass index and diastolic blood pressure in the intervention group decreased by 0.33 kg/m 2 and 1.49 mmHg (1 mmHg=0.133 kPa). Compared with the control group, daily vegetable consumption proportion, the awareness rates of aspirin, stains, salt intake, and oil intake increased by 4.76%, 26.22%, 29.56%, 10.80%, and 15.17%, respectively ( P<0.05). Conclusion:After the 1-year comprehensive intervention, there was no significant change in primary outcomes among high-risk populations of cardiovascular disease. In secondary outcomes, body mass index and diastolic blood pressure declined and cardiovascular disease-related knowledge awareness increased.

Objective:To evaluate the effect of comprehensive intervention combined with clinical preventive services and lifestyle adjustment on high-risk populations of cardiovascular disease.Methods:In 2015, 4 towns (streets) in Tongxiang City, of Zhejiang Province including Heshan Town, Longxiang Street, Wutong Street, and Fengming Street, were selected by using the typical sampling. The towns (streets) were allocated to the intervention group (Heshan Town and Longxiang Street) and the control group (Wutong Street and Fengming Street) by using the cluster random sampling. In each town (street), hypertension patients aged 50 to 74 years old who were taking community medicine management and with a 10-year cardiovascular disease risk ≥10% were recruited as subjects. There were 1 823 subjects in the intervention group and 1 883 in the control group. The intervention group was given a 1-year comprehensive intervention combining clinical preventive services and lifestyle adjustment, while the control group received routine chronic disease management. After the intervention, the final questionnaire investigation was conducted and health physical examination data were obtained. The death, acute coronary heart disease events and stroke incidence were the primary outcomes, and cardiovascular disease-related knowledge and behavior, clinical preventive services utilization, physical changes, blood fat index and 10-year cardiovascular disease risk were the secondary outcomes. The difference-in-difference model was used to evaluate the effects of interventions.Results:The age of subjects in the intervention and control group was (68.76±3.75) and (67.90±4.56) years old, respectively. After 1-year intervention, the incidence of mortality, acute coronary events and stroke in intervention group was 1.65% (30 cases), 0.27% (5 cases) and 2.69% (49 cases), respectively, which showed no statistical difference compared to the control group [1.33% (25 cases), 0.32% (6 cases) and 2.07% (39 cases)]. After adjusting for the age, gender, education, marital status, self-assessed family income level and situation of taking antihypertensive drugs, the difference-in-difference model showed that the body mass index and diastolic blood pressure in the intervention group decreased by 0.33 kg/m 2 and 1.49 mmHg (1 mmHg=0.133 kPa). Compared with the control group, daily vegetable consumption proportion, the awareness rates of aspirin, stains, salt intake, and oil intake increased by 4.76%, 26.22%, 29.56%, 10.80%, and 15.17%, respectively ( P<0.05). Conclusion:After the 1-year comprehensive intervention, there was no significant change in primary outcomes among high-risk populations of cardiovascular disease. In secondary outcomes, body mass index and diastolic blood pressure declined and cardiovascular disease-related knowledge awareness increased.

Objective:To explore the association between snoring and prevalent hypertension among adults in Zhejiang with a cross-sectional study.Methods:After excluding participants with self-reported, physician-diagnosed heart diseases, stroke and cancer at baseline study, 56 728 participants aged 30-79 in the China Kadoorie Biobank study from Tongxiang, Zhejiang were included for the final analysis. Three multivariable logistic regression models were used to estimate the ORs for the associations of snoring with prevalent hypertension. Results:The proportion of participants who snored frequently, snored sometimes, and never snored were 24.55%, 23.94%, and 51.51%, respectively. The corresponding figures of males were 32.40%, 26.55%, and 41.05%, respectively. The corresponding figures of females were 19.00%, 22.08%, and 58.92%, respectively ( P<0.001). After adjusted socio-demographic factors, behavioral lifestyle, BMI, waist circumference, and sleep duration etc., in comparison with participants who never snored, the odds ratios (95% CI) of hypertension for those who snored frequently and snored sometimes were 1.17 (1.12-1.23) and 1.12 (1.07-1.18), respectively. The effects of snoring on hypertension were statistically significantly different between women and men, participants who were central obese and those who were not, and between premenopausal and post-menopausal women. Conclusion:Snoring was associated positively with hypertension among adults. The effect of snoring on prevalent hypertension were obvious, especially among people, being female, being central obese, and being premenopausal.

Objective : To evaluate the risk of cardiovascular disease in hypertensive patients managed by communities in Tongxiang in the next 10 years,and to provide evidence for the development of cardiovascular disease prevention strategies. Methods: The information about hypertensive patients managed by communities was collected from Tongxiang resident health records management system. The risk of ischemic cardiovascular disease（ICVD）in the next 10 years was assessed by the Assessment Scale of 10-Year ICVD Risk in Chinese. Results: A total of 27 173 hypertensive patients managed by communities with complete data were recruited,including 11 868 males,accounting for 43.68%,and 15 305 females,accounting for 56.32%. The median（inter-quartile range）of the total scores of 10-year ICVD risk in hypertensive patients was 8.00（3.00）,with 9.00（2.00）in males and 8.00（2.00）in females. The total scores of 10-year ICVD risk in males was significantly higher than those in females（P<0.05）. A total of 8 764 patients had high 10-year ICVD risk,accounting for 32.25%. The proportion of high10-year ICVD risk in females with hypertension was higher than that in males（P<0.05）. The weights of ICVD risk factors in males were 54.58% in age,17.42% in systolic blood pressure,14.27% in smoking,7.77% in body mass index,4.51% in total cholesterol and 1.45% in diabetes;the ones in females were 63.57% in age,14.63% in systolic blood pressure,9.81% in body mass index,6.00% in total cholesterol,5.88% in diabetes and 0.11% in smoking. Conclusion The ICVD risk of hypertensive patients managed by communities in Tongxiang is higher in the next 10 years. Male patients should focus on the control of blood pressure and smoking,while female patients should focus on the control of blood pressure and body weight.