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Two-level analysis of risk factors for ischemic cardiovascular disease—A community-based study from Henan, China
•A two-level model of ischemic cardiovascular disease (ICVD) was prepared.•Two-level risk prediction model improved the accuracy of the model estimation.•The model provides a comprehensive advice at individual and regional levels for ICVD. Ischemic cardiovascular disease (ICVD) has high incidence an...
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Published in: | Journal of cardiology 2020-08, Vol.76 (2), p.198-204 |
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Main Authors: | , , , , , , , , , , , , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | •A two-level model of ischemic cardiovascular disease (ICVD) was prepared.•Two-level risk prediction model improved the accuracy of the model estimation.•The model provides a comprehensive advice at individual and regional levels for ICVD.
Ischemic cardiovascular disease (ICVD) has high incidence and high mortality worldwide. The studies of its risk factors were mostly concentrated on an individual level, and there are scarce studies on the two levels of risk factors which include individual and regional levels.
The data were obtained from a community-based study in 4 cities and 6 counties of Henan, China. Risk factors were initially screened by one-way analysis of variance or chi-square test. Then, they were re-analyzed using a two-level logistic regression model to construct a personal disease risk prediction model.
A two-level ICVD risk prediction model comprised 11 variables: age, body mass index (BMI), family history of hypertension, marital status, salt intake, smoking, moderate recreational physical activities, alcohol intake, and education at the individual level. Among the unalterable risk factors, for each additional unit of age and family history of hypertension, the risk of ICVD increased by 1.08 and 1.07 units [β95% confidence interval (95%CI): 0.99–1.16, 0.97–1.17, both p |
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ISSN: | 0914-5087 1876-4738 |
DOI: | 10.1016/j.jjcc.2020.02.020 |