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Detection rate and influencing factors of carotid plaque and plaque burden in the population with the age ≥ 40 years and high stroke risk from 2017 to 2020 in Nanjing city: based on CNSSS data analysis
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Shengxiang QI1, Zhenzhen QIN1, Lan CUI2, Jinyi ZHOU2, Xin HONG1
Chinese Journal of Public Health | 2026, 42(3) : 277 - 283
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Chinese Journal of Public Health | 2026, 42(3): 277-283
• Special Report—Chronic Disease Prevention and Control •
Detection rate and influencing factors of carotid plaque and plaque burden in the population with the age ≥ 40 years and high stroke risk from 2017 to 2020 in Nanjing city: based on CNSSS data analysis
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Shengxiang QI1, Zhenzhen QIN1, Lan CUI2, Jinyi ZHOU2, Xin HONG1
Affiliations
  • 1Nanjing Municipal Center for Disease Control and Prevention, Nanjing 210003, China
  • 2Department of Chronic Non-communicable Disease Control and Prevention, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China
Published: 2026-03-10 doi: 10.11847/zgggws1146271
Outline
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Objective

To investigate the detection rate and influencing factors of carotid plaque and plaque burden in a population with the age ≥ 40 years and high stroke risk in Nanjing city, thereby providing evidence for stroke prevention and control.

Methods

As a part of the China National Stroke Screen Survey, the data were collected at 12 screening sites, which were selected from 4 districts (Pukou, Gaochun, Jiangning, and Liuhe) in Nanjing by Nanjing Drum Tower Hospital and Nanjing Brain Hospital from 2017 to 2020. A total of 5 636 residents aged 40 and above who were at high-risk for stroke and underwent ultrasound examination of carotid arteries were included in this study. The detection rates of carotid plaque and plaque burden were analyzed. Multivariate unconditional logistic regression was employed to analyze the influencing factors of carotid plaque and plaque burden.

Results

Among the 5 636 residents included, 1 801 (32.0%) and 966 (17.1%) were detected with carotid plaque and plaque burden, respectively. The results of multivariate unconditional logistic regression showed that age ≥ 50 years, educational background of college degree or above, smoking, hypertension, and diabetes increased the risk of carotid plaque, while living in rural areas, drinking alcohol, sufficient fruit intake, and obesity reduced the risk of carotid plaque. Moreover, age ≥ 50 years, hypertension and diabetes increased the risk of carotid plaque burden, while female, living in rural areas, drinking alcohol, sufficient fruit intake, and obesity reduced the risk of carotid plaque burden.

Conclusions

Although the detection rates of carotid plaque and plaque burden in population aged 40 and above and with high stroke risk in Nanjing were lower than that in other cities, the burden was still heavy. Age, residence, alcohol intake, fruit intake, hypertension, diabetes, and body mass index were the common influencing factors for carotid plaque and plaque burden in this population.

stroke  /  high-risk population  /  carotid plaque  /  plaque burden  /  detection rate  /  influencing factors  /  Nanjing city
戚圣香, 秦真真, 崔岚, 周金意, 洪忻. 2017—2020年南京市≥40岁脑卒中高危人群颈动脉斑块和斑块负担检出情况及影响因素:基于CNSSS数据分析. 中国公共卫生, 2026 , 42 (3) : 277 -283 . DOI: 10.11847/zgggws1146271
Shengxiang QI, Zhenzhen QIN, Lan CUI, Jinyi ZHOU, Xin HONG. Detection rate and influencing factors of carotid plaque and plaque burden in the population with the age ≥ 40 years and high stroke risk from 2017 to 2020 in Nanjing city: based on CNSSS data analysis[J]. Chinese Journal of Public Health, 2026 , 42 (3) : 277 -283 . DOI: 10.11847/zgggws1146271
Year 2026 volume 42 Issue 3
156
57
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Article Info
doi: 10.11847/zgggws1146271
  • Receive Date:2024-10-28
  • Online Date:2026-10-23
  • Published:2026-03-10
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History
  • Received:2024-10-28
  • Revised:2025-01-02
  • Accepted:2025-10-13
Affiliations
    1Nanjing Municipal Center for Disease Control and Prevention, Nanjing 210003, China
    2Department of Chronic Non-communicable Disease Control and Prevention, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China

Corresponding:

HONG Xin, E-mail:
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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
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
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