Shanghai yufang yixue (Apr 2023)

Systolic blood pressure variation within a visit of community hypertension patients in Shanghai

  • LANG Dongchen,
  • YAN Qinghua,
  • SU Xuyan,
  • SHI Yan,
  • WU Fei,
  • WANG Yuheng,
  • LUO Wei,
  • CHENG Minna,
  • WU Yiling

DOI
https://doi.org/10.19428/j.cnki.sjpm.2023.22499
Journal volume & issue
Vol. 35, no. 4
pp. 314 – 319

Abstract

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ObjectivesTo investigate characteristics and influencing factors of short-term variation of systolic blood pressure of community hypertension patients in Shanghai.MethodsBased on the standardized blood pressure measurement data of hypertensive patients in Shanghai (2018‒2021) and the noninfectious chronic disease management system database, coefficient of variation of systolic blood pressure (CV_S) was described and the influencing factors were analyzed.ResultsAmong 112 680 community hypertension patients, males accounted for 46.87% with a median age of 69 years. CV_S was 0.038 6 ± 0.035 0. Generalized linear model analysis showed the following influencing factors of CV_S: gender, females were higher than males, B=0.032, P<0.001; age group, 60‒69 years, 70‒79 years old group, and ≥80 years groups were all higher than <50 years group, B=0.042, 0.056, and 0.074 respectively with P values of 0.020, 0.002, and <0.001 respectively; smoking, smoking cessation and smoking everyday was lower than never smoking, B=-0.032 and-0.028 respectively with P values of 0.023 and 0.007 respectively; systolic blood pressure, 140‒159 mmHg group, 160‒179 mmHg group, and ≥180 mmHg group were lower then <140 mmHg group, B=-0.039, -0.091, and -0.175 respectively with P values all <0.001; and measurement season, autumn was lower than spring, (B=-0.056, P<0.001). The paired test showed that CV_S calculated from the three measurements was 1.04% higher than that calculated from the two measurements (P<0.001).ConclusionThe coefficient of variation of systolic blood pressure of community hypertension patients in Shanghai has large variation, and was influenced by many factors.

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