Objective:To explore the influence of characteristics of green space on blood pressure control.Methods:Hypertensive patients who were managed by community health centers for one year and aged 35 years old and above were selected as the study subjects in Shenzhen. Multi-stage random sampling method was applied to select a representative sample of 1 200 patients. A total of 1 116 valid questionnaires were collected, with a response rate of 93.0%. From November 2019 to January 2020, well-structured questionnaire, physical examination and laboratory biochemical test were applied for information collection among the 1 116 participants. Binary logistic regression model was used to analyze the relationship between characteristics of green space and blood pressure control.Results:The rate of blood pressure control was 67.8%. Results of binary logistic regression analysis showed that after adjusting confounding factors, health supporting elements, such as fitness areas ( OR=1.678, 95% CI:1.231-2.288), collective exercise venues( OR=1.373, 95% CI:1.020-1.848), health knowledge promotion areas ( OR=1.416, 95% CI: 1.049-1.911) in green space, were significantly correlated with blood pressure control. Green space safetiness ( OR=1.010, 95% CI: 1.000-1.019), comfortableness ( OR=1.011, 95% CI: 1.001-1.021) and maintenance status ( OR=1.011, 95% CI: 1.001-1.021) also played a role. The rate of blood control among patients with exclusive green space was higher than that of patients without exclusive green space ( OR=1.333, 95% CI: 1.009-1.762). Conclusion:Health supporting elements, safety, comfort, maintenance of green space and exclusive green space play an important role in blood pressure controlling.

Data standard plays an important role in the process of data collection, Integration and sharing in clinical cohort studies, and more attention have been paid to it. This paper summarizes the 5 international proven data standard model, analyze their characteristics and development status, and match their data modules with the general data set of the clinical cohorts to evaluate the international data standard models' applicability and provide reference for the development and improvement of the data standard model for clinical cohort studies in China.

High-quality clinical practice guidelines are of great significance for standardizing the clinical diagnosis and treatment process and improving the overall quality of health care. The Appraisal of Guidelines for Research & Evaluation InstrumentⅡ (AGREEⅡ) is one of the recognized tools for the evaluation of the quality of clinical practice guidelines. It has been translated into Chinese and is widely used in guideline formulation and quality evaluation. This article intends to take the comparatively high-quality clinical practice guidelines in the field of esophageal cancer screening in China, i.e. "Expert Consensus on Early Esophageal Cancer and Precancerous Lesion Screening in China (2019, Xinxiang)" as an example, to interpret the use of AGREEⅡ item by item, which might provide a reference for medical and health workers to better understand and use the assessment tool.

One of the most cost-effective measures in cancer prevention on cancer is to advocate to be aware of the disease, consciously changing negative behaviors, and taking the initiative to participate in regular physical checkup programs. Esophageal cancer is one of the malignant tumors accompanied by a heavy disease burden in China. Routine screening, early diagnosis, and treatment are the critical points of preventing and treating the disease. Cohort studies help understand the natural history and risk factors of esophageal cancer and identify high-risk groups of the disease. This paper intends to discuss the construction specifications of the multi-dimensional dynamic follow-up shared cohort for esophageal cancer by studying the risk factors, monitoring, and collecting biological sample information, providing references for developing a standardized and unified screening cohort research procedure, and necessary standards on esophageal cancer in the future.