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Association between systolic blood pressure trajectories and stroke risk among older adults aged 65 years and older
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Hai-yuan TONG1, Yuan-yuan FANG2, Zhao-lai HUA3, Yi-long LI1, Xiang FENG3, Jian SU2, 4
Modern Preventive Medicine | 2026, 53(2) : 212 - 218
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Modern Preventive Medicine | 2026, 53(2): 212-218
• Epidemiology and Statistical Methods Advances •
Association between systolic blood pressure trajectories and stroke risk among older adults aged 65 years and older
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Hai-yuan TONG1, Yuan-yuan FANG2, Zhao-lai HUA3, Yi-long LI1, Xiang FENG3, Jian SU2, 4
Affiliations
  • Department of Chronic Diseases, Yangzhong City Center for Disease Control and Prevention, Zhenjiang, Jiangsu 212299, China
Published: 2026-01-25 doi: 10.20043/j.cnki.MPM.202508123
Outline
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Objective

To investigate the association between systolic blood pressure (SBP) trajectories and the risk of stroke among older adults aged ≥65 years.

Methods

Older adults aged ≥65 years from Yangzhong City who participated in at least three rounds of Basic Public Health Service health check-ups between 2016 and 2019 and had no history of cardio-cerebrovascular disease were included.The incidence data of stroke were obtained from the Hospital Information System (HIS) of secondary and above hospitals in Yangzhong City, the Chronic Disease Surveillance Information System of Zhenjiang City, and self-reports from subjects during annual health examinations. Latent class mixed models (LCMM) were used to identify long-term SBP trajectories. Multivariable Cox proportional hazards models were applied to examine the association between different SBP trajectory groups and stroke incidence.

Results

A total of 12 304 older adults were included in the study. LCMM identified two distinct SBP trajectory groups: a low initial SBP with a slight increase group (90.55%) and a high initial SBP with a steep increase group (9.45%). By the end of follow-up on December 31, 2024, totaling 60 266.59 person-years, with an average follow-up time of 4.90 years.2 495 new stroke cases were recorded, with an incidence density of 41.40 per 1 000 person-years. The incidence density was 39.74 per 1 000 person-years in the low initial SBP group and 57.91 per 1 000 person-years in the high initial SBP group. Multivariable Cox proportional hazards analysis showed that compared to the low initial SBP group, the high initial SBP group had a 20% higher risk of stroke (HR=1.20, 95% CI: 1.04-1.38). Stratified analysis showed that the association between SBP trajectory and stroke incidence differed significantly across age groups. In individuals aged over 70 years, the association was stronger (HR=1.26, 95% CI: 1.04-1.51), while in those aged 70 years or younger, the HR was 1.13 (95% CI: 0.91-1.39). The interaction between age and SBP trajectory was statistically significant (P for interaction=0.015).

Conclusion

Among older adults, those with a high initial SBP and a steep increase in SBP over time have a higher risk of stroke. This subgroup should be prioritized in stroke prevention efforts, with strengthened blood pressure monitoring and timely intervention recommended.

Older adults  /  Systolic blood pressure  /  Stroke  /  Latent class mixed model
仝海员, 方园园, 华召来, 李一隆, 冯祥, 苏健. 65岁及以上老年人收缩压轨迹与脑卒中发病风险的关联研究—以江苏扬中市为例. 现代预防医学, 2026 , 53 (2) : 212 -218 . DOI: 10.20043/j.cnki.MPM.202508123
Hai-yuan TONG, Yuan-yuan FANG, Zhao-lai HUA, Yi-long LI, Xiang FENG, Jian SU. Association between systolic blood pressure trajectories and stroke risk among older adults aged 65 years and older[J]. Modern Preventive Medicine, 2026 , 53 (2) : 212 -218 . DOI: 10.20043/j.cnki.MPM.202508123
Year 2026 volume 53 Issue 2
11
5
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doi: 10.20043/j.cnki.MPM.202508123
  • Receive Date:2025-08-08
  • Online Date:2026-11-02
  • Published:2026-01-25
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  • Received:2025-08-08
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    Department of Chronic Diseases, Yangzhong City Center for Disease Control and Prevention, Zhenjiang, Jiangsu 212299, China
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表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
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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
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