Objective : To explore the relationship between alcohol consumption and hypertension in adults of Zhejiang Province, so as to provide scientific evidence for the prevention and control of hypertension. Methods: Data were collected from 10 national surveillance sites in Zhejiang Province in the 2018 China Chronic Disease and Risk Factors Surveillance. The multivariate logistic regression model was used to explore the relationship between alcohol consumption and hypertension in adults of Zhejiang Province. Results : Among 5 908 people included, 2 641 were males, accounting for 50.38%; and 3 267 were females, accounting for 49.62%. There were 2 721 cases of hypertension ( 28.54% ). The number of the cases with no, light and excessive alcohol consumption was 3 945, 1 117 and 846, accounting for 66.28%, 23.65% and 10.07%, respectively, after complex sampling weighting. The results of the multivariate logistic regression model showed that compared with those with no alcohol consumption, the adults with excessive alcohol consumption had higher risk of hypertension ( OR=2.126, 95%CI: 1.649-2.741 ); men with light ( OR=1.875, 95%CI: 1.075-3.270 ) and excessive alcohol consumption ( OR=2.752, 95%CI: 2.021-3.748 ) had higher risk of hypertension; the 18-<45-year-old adults with light ( OR=2.441, 95%CI: 1.171-5.087 ) and excessive alcohol consumption ( OR=3.368, 95%CI: 1.609-7.049 ), and the ≥60-year-old adults with excessive alcohol consumption ( OR=1.632, 95%CI: 1.174-2.269 ) had higher risk of hypertension. Conclusions Light and excessive alcohol consumption are associated with hypertension in Zhejiang adults. The association is stronger between excessive alcohol consumption and hypertension than between light alcohol consumption and hypertension.

Objective: To investigation the correlation between sleep duration and hypertension among adults in Zhejiang Province, and to provide scientific evidence for the prevention and control of hypertension. Methods: Permanent residents at age of 18 years and older were enrolled from 10 surveillance sites for risk factors of chronic diseases included in the 2018 China Chronic Diseases and Risk Factors Surveillance Program. Subjects' demographic characteristics, smoking, alcohol consumption, sleep duration and development of hypertension were collected, and following complex weighting calculations, the association between sleep duration and hypertension were examined using a multivariable logistic regression model. Results: Totally 5 770 adults were included, including 2 952 men (50.72%) and 3 178 women (49.28%), and the prevalence of hypertension was 29.39% (2 702 cases). There were 712 (8.37%), 1 077 (18.77%), 1 582 (28.68%), 1 717 (34.60%) and 682 adults (9.57%) with sleep duration of <6 h/d, 6 to 7 h/d, 7 to 8 h/d, 8 to 9 h/d and 9 h/d and longer, respectively. Taking the sleep duration of 7 to 8 h/d as a reference, multivariable logistic regression analysis identified a significant association between sleep duration of <6 h/d and the risk of hypertension (OR=1.709, 95%CI: 1.184-2.466), a significant association between sleep duration of 9 h/d and longer and the risk of hypertension (OR=1.369, 95%CI: 1.006-1.862) in men, significant associations between sleep duration of <6 h/d (OR=2.174, 95%CI: 1.528-3.093) and 6 to 7 h/d (OR=1.412, 95%CI: 1.078-1.850) and the risk of hypertension in women, and significant associations between sleep duration of <6 h/d (OR=3.095, 95%CI: 1.025-9.347) and 6 to 7 h/d (OR=2.046, 95%CI: 1.156-3.622) and the risk of hypertension in residents at ages of 18 to 44 years. Conclusions Short sleep duration may increase the risk of hypertension among adults at ages of 18 to 44 years in Zhejiang Province. Short sleep duration may increase the risk of hypertension in women and long sleep duration may increase the risk of hypertension in men.

Objective: To examine the correlation between frailty and lifestyle factors among middle-aged and elderly populations, so as to provide insights into the management of frailty among middle-aged and elderly populations. Methods : Middle-aged and elderly residents at ages of 45 ot 69 years were recruited using the convenient sampling method from seven townships in Changxing County of Zhejiang Province from 2019 to 2020. The demographic characteristics and lifestyle factors were collected using questionnaires, and the frailty was measured using the Chinese version of Tilburg Frailty Indicator ( TFI ). Factors affecting frailty were identified among middle-aged and elderly populations using the multivariable logistic regression model. Results: A total of 7 170 residents were surveyed, including 2 780 males ( 38.77% ) and 4 390 females ( 61.23% ), which had a median age of 56 (interquartile range, 10) years. The median frailty score was 2 (interquartile range, 3 ) among the study subjects, and the median frailty score was 2 ( interquartile range, 2 ) among residents at ages of 45 to 59 years, and 2 (interquartile range, 3) among residents at ages of 60 to 69 years. The overall detection of frailty was 16.07%, and the detection of frailty was 13.52% among subjects at ages of 45 to 59 years and 21.01% among subjects at ages of 60 to 69 years. Multivariable logistic regression analysis identified physical activity ( OR=0.826, 95%CI: 0.719-0.949 ) and sleep quality ( OR: 3.376-11.493, 95%CI: 2.907-15.808 ) as factors affecting frailty among middle-aged and elderly residents. Following age stratification, physical activity ( OR=0.817, 95%CI: 0.681-0.981 ) and sleep quality ( OR: 3.076-11.566, 95%CI: 2.518-18.216 ) as factors affecting frailty among subjects at ages of 45 to 59 years, while sleep quality ( OR: 3.777-11.827, 95%CI: 3.002-18.547 ) significantly correlated with frailty among residents at ages of 60 to 69 years. Conclusion Physical activity and sleep quality are associated with the risk of frailty among middle-aged and elderly populations.

Objective To access the prevalence of type 2 diabetes mellitus ( T2DM) and its associated risk factors among adults with obesity in Zhejiang province. Methods The enrolled subjects were selected among local residents aged≥18 years with body mass index≥28 kg/m2 from 15 counties by multi stage stratified cluster random sampling from July to November, 2010. Each participant was required to attend complete questionnaire, physical examination, and testing overnight fasting blood specimen. Results A total of 1 351 residents were enrolled, including 613 males and 738 females. The prevalence of T2DM in adult population with obesity was 15. 03%, being 14. 03% in male, and 15. 85% in female;and that in urban area was 16. 64%, and in rural area was 13. 93%. Data from multivariable logistic regression showed that factors such as ageing (OR=1. 473, 95% CI 1. 243-1. 747), a family history of T2DM(OR=8. 945, 95% CI 5. 481-14. 598), staple food intake (OR=1. 185, 95% CI 1. 017-1. 380), triglyceride(≥1. 7 mmol/L, OR=1. 542, 95%CI 1. 066-2. 232) were risk factors of T2DM;while annual income(OR=0. 695, 95%CI 0. 544-0. 888), and milk intake(OR=0. 750, 95%CI 0. 567-0. 993) were shown as protective factors. Conclusion The prevalence of T2DM in adults with obesity was raised, ageing, a family history of T2DM, staple food intake, and dyslipidemia appeared to be major risk factors for T2DM.

Objective To study the influence of diet and behavior related factors on the peripheral blood triglyceride levels in adults,through a cross-sectional survey.Methods The current study included 13 434 subjects without histories of major chronic diseases from a population-based cross-sectional survey:the 2010 Metabolic Syndrome Survey in Zhejiang Province.A generalized linear model was used to investigate the influence of diet/behavior-related factors on the peripheral blood triglyceride levels.Results Mean TG of the sample population appeared as (1.36± 1.18) mmol/L.The proportions of elevated TG and marginally elevated TG were 10.3％ and 11.0％ respectively,with statistically significant difference seen between males and females (x2=44.135,P＜0.001).In this sampled population,the daily intake of cooking oil was exceeding the recommendation levels by over 50％ while the intake of fruit,milk,nuts and physical exercise were much below the recommendation.There were statistically significant differences between smoking,alcohol-intake,meat,fruit and water intake in male population from this study.However,in females,the intake of aquatic product and physical exercise showed statistically significant differences.After controlling for other variables,factors as age,drinking,staple food and aquatic products showed positive influence on TG,while milk presented negative influence on TG.Through interaction analysis,fruit and meat intake in males and staple food in females showed positive influence on TG,when compared to the reference group.Conclusion Hyperglyceridemia appeared as one of the major metabolic abnormities in Zhejiang province.Programs on monitoring the alcohol,staple food and meat intake should be priority on intervention,in the communities.

OBJECTIVETo investigate the joint association of adiposity, physical activity, sedentary leisure time and job intensity on diabetes and impaired glycoregulation.

METHODSData was from the 2010 Zhejiang survey and 17 437 adults ( ≥18 years) were examined. Logistic regression was used in this cross-sectional study.

RESULTSUnder the same level of sedentary leisure time, adiposity anticipants showed an OR of 2.52-2.75 times for people with diabetes than those with normal or underweight BMI, and anticipants with highest WC having an OR of 2.09-3.71 times than those with the lowest WC. With the same level of physical activity, those adiposity anticipants had an OR of 2.19-5.98 times for diabetes than those with normal or underweight BMI, and anticipants with the highest WC had an OR of 3.10-6.25 times than those with the lowest WC. Anticipants who had no physical activity but with adiposity. BMI had an OR of 3.21 times than those with normal or underweight BMI, but there was no significant difference between diabetes and BMI in those that practising physical activities. Within the 3 levels of physical activity, participants that practising no physical activity, had an OR of 1.68-4.23 times for diabetes than those who were physically active when WC was used as a measure for adiposity.

CONCLUSIONControlling weight and waist seemed more important than improving physical activity or reducing sedentary leisure time in the prevention program on diabetes. WC was better measure on the risks for adiposity-related diabetes than BMI, especially when physical activity was under consideration.