Objective:To investigate the influencing factors of participation in free health check-up among community residents.Methods:From 2012 to 2022 Xinzhuang Community Health Service Center of Shanghai Minhang district provided 5 free health check-up for local residents, once every 2 years. Among 5 904 eligible community residents with a mean age of (66.01±5.87) years, 682 (11.55 %), 912 (15.45 %), 842 (14.26 %), 934 (15.82 %), 1 061 (17.97 %) and 1 473 (24.95 %) participated in 5, 4, 3, 2, 1 and 0 health check-ups during 10 years, respectively. The influencing factors of participant frequency were analyzed with multivariate logistic regression model.Results:Multivariate logistic regression analysis showed that age 65 years and above ( OR=0.685, 95% CI: 0.625-0.751, P<0.001), exercising once a week or more ( OR=1.142, 95% CI: 1.031-1.266, P=0.011), and underweight ( OR=0.665, 95% CI:0.496-0.891, P=0.006) were independent factors influencing the participant in free health check-up among community residents. Conclusion:Community residents with older age or underweight are less likely to participate free health check-up, while those with frequent exercise like to participate.

Objective:To explore the risk factors of all-cause death in hypertensive patients in the community.Methods:A cohort of 4 049 hypertensive patients who participated in annual health checkups at Xinzhuang Community Health Service Centre of Shanghai Minhang district from January to December 2012 were enrolled in the study. All-cause death was the endpoint event of this study, and patients were divided into a fatal group and a survival group. The collection date for the endpoint event was December 2022. A multivariate Cox regression model was used to analyse the independent risk factors of all-cause mortality among hypertensive patients in the community.Results:Among 4 049 patients aged (67.9±7.1) years, 1 856 (45.8%) were males. There were 610 cases in the fatal group and 3 439 cases in the survival group. Multivariate Cox proportional regression showed that male gender ( HR=1.446, 95% CI: 1.200-1.742, P<0.001), older age ( HR=1.130, 95% CI: 1.118-1.143, P<0.001), higher waist-to-height ratio ( HR=8.117, 95% CI: 2.235-29.481, P=0.001), positive urinary protein ( HR=2.974, 95% CI: 2.202-4.016, P<0.001), high fasting blood glucose ( HR=1.070, 95% CI: 1.012-1.131, P=0.017), and history of stroke ( HR=1.819, 95% CI: 1.414-2.340, P<0.001) were independent risk factors for all-cause mortality in hypertensive patients, while exercise≥1/week ( HR=0.816, 95% CI: 0.668-0.996, P=0.046) and taking lipid-lowering medications ( HR=0.459, 95% CI: 0.223-0.947, P=0.035) were protective factors for all-cause mortality. Conclusion:For hypertensive patients, male gender, older age, higher waist-to-height ratio, positive urinary protein, high fasting blood glucose, and history of stroke are risk factors for all-cause mortality, while exercise≥1/week and taking lipid-lowering medications are protective factors.

Objective:To analyze the association between sleep status and ambulatory blood pressure monitoring indicators in community-dwelling hypertensive patients.Methods:It was a cross sentional study. Hypertensive patients who underwent 24-hour ambulatory blood pressure monitoring from May 2021 to April 2023 in Shanghai Xinzhuang Town were enrolled. The demographic information and sleep status of patients were obtained from the questionnaire. A TM-2430 blood pressure monitor was used to measure 24-hour ambulatory blood pressure, and the relevant indicators, including blood pressure level and blood pressure coefficient of variation were documented. The association between sleep status and blood pressure indicators was analyzed with multivariate linear regression model.Results:A total 1 135 patients aged (65.07±12.61) years were enrolled, and 473 (41.67%) of whom were males. The sleep time was<7 hours in 76 cases, 7- 8 hours in 219 cases and >8 hours in 840 cases; the bedtime was earlier than 22∶00 in 415 cases, between 22∶00 and 23∶00 in 474 cases and later than 23∶00 in 246 cases; the wake-up time was before 6∶00 in 230 cases, between 6∶00 and 7∶00 in 521 cases and after 7∶00 in 384 cases. Multivariate linear regression analysis showed that after controlling for gender and age, the sleep time was negatively associated with diurnal, noctumal and 24-hour diastolic blood pressure levels (all P<0.05), and positively associated with diurnal and noctumal systolic blood pressure coefficient of variation, noctumal diastolic blood pressure coefficient of variation, and 24-hour systolic blood pressure coefficient of variation (all P<0.05).The bedtime was positively associated with diurnal, noctumal and 24-hour diastolic blood pressure (all P<0.05), diastolic blood pressure (all P<0.05); and negatively associated with diurnal systolic blood pressure coefficient of variation, diurnal diastolic blood pressure coefficient of variation, noctumal systolic blood pressure coefficient of variation, 24-hour systolic blood pressure coefficient of variation, and 24-hour diastolic blood pressure coefficient of variation (all P<0.05). The wake-up time was positively associated with diurnal systolic blood pressure, diurnal, noctumal and 24-hour diastolic blood pressure (all P<0.05), and positively associated with diurmal systolic blood pressure and diastolic blood pressure (both P<0.05). Conclusion:Sleep status is closely associated with ambulatory blood pressure monitoring indicators in community-dwelling hypertensive patients.