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Factors influencing two-week morbidity in hypertensive patients based on coincidence analysis and logistic regression
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Xiao-yan GUO1, 2, Yu-lu HUANG1, Hui-juan CHEN2, Ren-hua ZHANG2, Ya-juan WANG2, Xiao-yuan SHI2, Yi-yuan CAI1
Modern Preventive Medicine | 2026, 53(7) : 1153 - 1158
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Modern Preventive Medicine | 2026, 53(7): 1153-1158
• Epidemiology and Statistical Methods •
Factors influencing two-week morbidity in hypertensive patients based on coincidence analysis and logistic regression
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Xiao-yan GUO1, 2, Yu-lu HUANG1, Hui-juan CHEN2, Ren-hua ZHANG2, Ya-juan WANG2, Xiao-yuan SHI2, Yi-yuan CAI1
Affiliations
  • Acacia Lab for Primary Healthcare, Department of Epidemiology and Health Statistics, School of Public Health, The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, Guizhou 561113, China
Published: 2026-04-10 doi: 10.20043/j.cnki.MPM.202511038
Outline
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Objective

To explore the influencing factors of two-week morbidity among hypertensive patients in Guizhou Province, and to compare the differences and complementarities between coincidence analysis (CNA) and logistic regression in identifying complex associations.

Methods

Data were obtained from the 2022 Guizhou Provincial Health Literacy Surveillance, and participants were individuals with self-reported hypertension. CNA and logistic regression were applied for statistical analysis.

Results

A total of 1 344 hypertensive patients from 18 counties/districts were included, with a two-week morbidity rate of 36.09%. CNA identified four configurational pathways leading to high two-week morbidity: counties with higher proportions of ethnic minorities and higher obesity rates; counties with lower educational attainment and higher income or higher obesity rates; counties with higher educational attainment, lower smoking rates, but lower health literacy. The model had a consistency of 0.808, a coverage of 0.801, and a standardized robustness score of 0.75. Multivariable logistic regression showed that education below junior high school (OR=1.586, 95% CI: 1.216-2.068) and low health literacy (OR=1.762, 95% CI: 1.141-2.721) were risk factors for two-week morbidity among hypertensive patients.

Conclusion

From a multi-pathway perspective, this study shows that the risk of two-week morbidity among patients with hypertension in Guizhou is characterized by combinations of low educational attainment, low health literacy, high obesity prevalence, and ethnic minority concentration, providing evidence to inform county-level chronic disease management strategies in Guizhou and other resource-limited settings.

Coincidence analysis  /  Hypertension  /  Two-week morbidity  /  Influencing factors
郭晓艳, 黄雨露, 陈慧娟, 张人华, 王娅娟, 石晓园, 蔡毅媛. 基于共存分析与logistic回归研究高血压患者两周患病影响因素. 现代预防医学, 2026 , 53 (7) : 1153 -1158 . DOI: 10.20043/j.cnki.MPM.202511038
Xiao-yan GUO, Yu-lu HUANG, Hui-juan CHEN, Ren-hua ZHANG, Ya-juan WANG, Xiao-yuan SHI, Yi-yuan CAI. Factors influencing two-week morbidity in hypertensive patients based on coincidence analysis and logistic regression[J]. Modern Preventive Medicine, 2026 , 53 (7) : 1153 -1158 . DOI: 10.20043/j.cnki.MPM.202511038
Year 2026 volume 53 Issue 7
19
10
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Article Info
doi: 10.20043/j.cnki.MPM.202511038
  • Receive Date:2025-11-03
  • Online Date:2026-11-02
  • Published:2026-04-10
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  • Received:2025-11-03
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    Acacia Lab for Primary Healthcare, Department of Epidemiology and Health Statistics, School of Public Health, The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, Guizhou 561113, 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
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Percentage of
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Genus
种数
Number of
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Percentage of total
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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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