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Conglin Hong,1,* Qiu Zhang,2,* Yan Chen,3,* Ying Lu,1 Linan Chen,1 Yan He,1 Jing Li,1 Shengqi Ma,1 Jun Jiang,4 Xiaolong Zhang,4 Jianwei Hu,5 Yi Ding,6 Mingzhi Zhang,1 Hao Peng1,7 1Department of Epidemiology, School of Public Health, Suzhou Medical College of Soochow University, Suzhou, People’s Republic of China; 2Department of Chronic Disease, Gusu Center for Disease Prevention and Control, Suzhou, People’s Republic of China; 3Department of Nephrology, The Affiliated Jiangyin Hospital of Southeast University Medical College, Jiangyin, People’s Republic of China; 4Department of Tuberculosis Control, Suzhou Center for Disease Control and Prevention, Suzhou, People’s Republic of China; 5Department of Central Office, Maternal and Child Health Bureau of Kunshan, Suzhou, People’s Republic of China; 6Department of Preventive Medicine, College of Clinical Medicine, Suzhou Vocational Health College, Suzhou, People’s Republic of China; 7Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Suzhou, People’s Republic of China*These authors contributed equally to this workCorrespondence: Hao Peng; Mingzhi Zhang, Department of Epidemiology, School of Public Health, Medical College of Soochow University, 199 Renai Road, Industrial Park District, Suzhou, 215123, People’s Republic of China, Tel +86 512 6588 0078; 86 512 6588 0079, Email penghao@suda.edu.cn; zhangmingzhi@suda.edu.cnObjective: Although elevated uric acid is associated with obesity and considered a predictor of hypertension, the causal linkage between the three metabolic conditions is not very clear. We aim to examine whether elevated uric acid mediates the effects of obesity on hypertension development.Methods: A total of 1984 participants (mean aged 53 years, 62.10% female) with repeated measurements of obesity, blood pressure, and uric acid 4 years apart in the Gusu cohort were included. We first applied cross-lagged panel analysis an

Shi Chen,1,* Xugui Song,2,* Hongfei Shi,3 Jing Li,4 Shengqi Ma,4 Linan Chen,4 Ying Lu,4 Conglin Hong,4 Hanyun Zhu,4 Hongyan Sun,3 Mingzhi Zhang5 1Department of Nursing, School of Nursing, Suzhou Vocational Health College, Suzhou, People’s Republic of China; 2Shishan Community Health Service Center, Suzhou, People’s Republic of China; 3Center for Disease Prevention and Control of Tianning District, Changzhou, People’s Republic of China; 4Department of Epidemiology, School of Public Health, Medical College of Soochow University, Suzhou, People’s Republic of China; 5Department of Biostatistics, School of Public Health, Medical College of Soochow University, Suzhou, People’s Republic of China*These authors contributed equally to this workCorrespondence: Mingzhi Zhang, Department of Biostatistics, School of Public Health, Medical College of Soochow University, 199 Renai Road, Industrial Park, Suzhou, People’s Republic of China, 215123, Tel +86 512 6588 0079, Fax +86 512 6588 0052, Email zhangmingzhi@suda.edu.cn Hongyan Sun, Center for Disease Prevention and Control of Tianning District, Changzhou, People’s Republic of China, Email 1106925654@qq.comBackground: Poor sleep quality is becoming very common in a developed society and relates to many health disorders. However, the association between sleep quality and hypertension has not been well studied in Chinese adults.Methods: Blood pressure was measured and sleep quality was assessed by the Pittsburgh Sleep Quality Index (PSQI) for 5167 participants (mean aged 51± 15 years, 41.5% males) in the Tianning Cohort. A logistic regression model was constructed to examine the association between sleep quality, as well as its components, and hypertension, adjusting for age, sex, education level, current smoking, current drinking, physical activity, obesity, glucose, and blood lipids.Results: After multivariate adjustment, a higher score Of the PSQI was significantly associated with an increa

Shengqi Ma,1,* Lei Wu,2,* Qing Yu,3,* Donghui Chen,2 Chunsong Geng,3 Hao Peng,1 Lugang Yu,2 Mingzhi Zhang1 1Department of Epidemiology, School of Public Health, Medical College of Soochow University, Suzhou, Jiangsu, People’s Republic of China; 2Department of Maternal and Child Health, Suzhou Industrial Park Centers for Disease Control and Prevention, Suzhou, Jiangsu, People’s Republic of China; 3Department of Gynecology and Obstetrics, Suzhou Kowloon Hospital, Suzhou, Jiangsu, People’s Republic of China*These authors contributed equally to this workCorrespondence: Lugang YuDepartment of Maternal and Child Health, Suzhou Industrial Park Centers for Disease Control and Prevention, 200 Suhong West Road, Industrial Park, Suzhou, 215123, People’s Republic of ChinaTel +86 512 6761 4200Fax +86 512 6761 4233Email YLG@sipcdc.comMingzhi ZhangDepartment of Biostatistics, School of Public Health, Medical College of Soochow University, 199 Renai Road, Industrial Park, Suzhou, 215123, People’s Republic of ChinaTel +86 512 6588 0079Fax +86 512 6588 0052Email zhangmingzhi@suda.edu.cnBackground: High blood pressure during pregnancy has been suggested to be associated with adverse birth outcomes (ABO), but it is unclear how different blood pressure changes and the extent of the effect. Therefore, we aimed to investigate the association between blood pressure trajectories (systolic blood pressure (SBP), diastolic blood pressure (DBP), mean arterial pressure (MAP), pulse pressure (PP)) of pregnant women and ABO in a real-world study.Material and Methods: Leveraging 28,679 pregnant women and their fetuses from a register-based cohort from January 1, 2010, to December 31, 2019. Blood pressure trajectories were estimated by package “traj” in R software using real-world blood pressure data of routine antenatal care examinations. Logistic regression models were applied to examine the association between trajectories of different blood pressure