PDF
Full
Outline
To explore the longitudinal trajectory of systolic blood pressure (SBP) and its influencing factors in community hypertensive patients.
We used data from national basic public health services for nine counties in Shandong Province to conduct a prospective cohort study. Group-Based Trajectory Modeling (GBTM) was used to explore the trajectory of systolic blood pressure. Repeated measurement analysis of variance was used to describe the changes in trajectories, and multinomial logistic regression was used to explore the influencing factors of the trajectories.
A total of 104 402 hypertension patients were included. The systolic blood pressure trajectories could be divided into four groups: Stage-1 high blood pressure gradually decreased group (21.8%), Stage-1 high blood pressure stable group (55.5%), Stage-2 high blood pressure gradually decreased group (7.2%) and Stage-2 high blood pressure increased group (15.6%). The results of repeated measures analysis of variance showed that there was a significant difference in systolic blood pressure values at different time points or different groups (P<0.001, P<0.001). The results of multinomial logistic regression showed that compared with the group with Stage-1 high blood pressure gradually decreased, the people with less education(OR=82.68, 95% CI:75.60-90.42), physical inactivity(OR=2.77, 95% CI:2.19-3.50), high frequency of drinking(OR=1.39, 95% CI:1.17-1.64), general compliance behavior(OR=1.44, 95% CI:1.18-1.75), intermittent medication(OR=2.15, 95% CI:1.98-2.34) were more likely to be classified into the group with Stage-2 high blood pressure increased. People with increased age (OR=1.03, 95% CI:1.02-1.03), and regular medication (OR=1.94, 95% CI:1.79-2.11) were more likely to be classified into the group with Stage-2 high blood pressure gradually decreased.
The systolic blood pressure trajectories in hypertensive patients can be divided into 4 categories. In the future, we should make more efficient assessments and interventions based on homogeneous populations of systolic blood pressure trajectories and their risk factors.
PDF
40
15
| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |
关闭全屏
No. 86 Xueyuan South Road, Haidian District, Beijing
010-62199257
qkjq@cast.org.cn
Copyright © 2025 China Association for Science and Technology. All rights reserved. For all open access content, the relevant licensing terms apply.
Sponsored by the Office of the Leading Group for Cybersecurity and Informatization of CAST, and supported by Science and Technology Review Publishing House
