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Detection of high-risk populations of cardiovascular diseases and its influencing factors among residents aged 35–75 years in Jinan city: a cross-sectional study
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Xia MA1, Qingchang WANG1, Qinfu WANG1, Ningning ZHUANSUN2, Nan MA3, Nan WANG1, Leiqi CAI1, Jun ZHANG1
Chinese Journal of Public Health | 2026, 42(3) : 289 - 294
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Chinese Journal of Public Health | 2026, 42(3): 289-294
• Special Report—Chronic Disease Prevention and Control •
Detection of high-risk populations of cardiovascular diseases and its influencing factors among residents aged 35–75 years in Jinan city: a cross-sectional study
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Xia MA1, Qingchang WANG1, Qinfu WANG1, Ningning ZHUANSUN2, Nan MA3, Nan WANG1, Leiqi CAI1, Jun ZHANG1
Affiliations
  • 1Jinan Center for Disease Control and Prevention, Jinan 250000, China
  • 2Zhangqiu District Center for Disease Control and Prevention, Jinan 250200, China
  • 3Licheng District Center for Disease Control and Prevention, Jinan 250100, China
Published: 2026-03-10 doi: 10.11847/zgggws1147427
Outline
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Objective

To investigate the detection status and its influencing factors of high-risk populations of cardiovascular disease (CVD) among residents aged 35–75 years in Jinan for the prevention and control of CVD among residents in this region.

Methods

A multi-stage random cluster sampling method was employed to select a total of 30 217 residents aged 35–75 years from 129 communities/villages from Licheng and Zhangqiu districts of Jinan for the survey between September 2016 and June 2022. Data were collected via questionnaires, physical examinations, and laboratory tests. Multivariate unconditional logistic regression analysis was performed to identity the influencing factors of the detection status of high-risk CVD populations among residents in this region.

Results

Among the 30 214 participants aged 35–75 years in Jinan, 7 633 (25.26%) participants were identified with a high risk for CVD. The results of multivariate unconditional logistic regression analysis showed that age of 60 to 75 years, administrative/professional technical personnel, being retired/unemployed/homemakers, central obesity, hypertension, diabetes, and dyslipidemia were risk factors for the detection of high-risk CVD populations among residents aged 35–75 years in Jinan. Conversely, female, workers, employed in commercial/service industries, and agricultural household registration were protective factors.

Conclusions

The detection rate of high-risk CVD populations among residents aged 35–75 years was high in Jinan. Gender, age, occupation, registered permanent residence type, central obesity, hypertension, diabetes mellitus, and dyslipidemia were the main influencing factors for the detection of high-risk CVD populations among residents aged 35–75 years in this region.

cardiovascular disease  /  high-risk population  /  disease burden  /  influencing factor  /  residents aged 35–75 years  /  Jinan city
马霞, 王庆昌, 王勤富, 颛孙宁宁, 马楠, 王楠, 蔡雷琦, 张军. 济南市35~75岁居民心血管疾病高危人群检出情况及影响因素:一项横断面研究. 中国公共卫生, 2026 , 42 (3) : 289 -294 . DOI: 10.11847/zgggws1147427
Xia MA, Qingchang WANG, Qinfu WANG, Ningning ZHUANSUN, Nan MA, Nan WANG, Leiqi CAI, Jun ZHANG. Detection of high-risk populations of cardiovascular diseases and its influencing factors among residents aged 35–75 years in Jinan city: a cross-sectional study[J]. Chinese Journal of Public Health, 2026 , 42 (3) : 289 -294 . DOI: 10.11847/zgggws1147427
Year 2026 volume 42 Issue 3
88
37
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Article Info
doi: 10.11847/zgggws1147427
  • Receive Date:2025-03-17
  • Online Date:2026-10-23
  • Published:2026-03-10
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History
  • Received:2025-03-17
  • Revised:2025-07-05
  • Accepted:2025-08-06
Affiliations
    1Jinan Center for Disease Control and Prevention, Jinan 250000, China
    2Zhangqiu District Center for Disease Control and Prevention, Jinan 250200, China
    3Licheng District Center for Disease Control and Prevention, Jinan 250100, China

Corresponding:

ZHANG Jun, 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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