Influencing factors and correlation analysis of population with high risk of cardiovascular diseases
Objective To highlight the impact of behavioral and non-behavioral factors on cardiovascular health, disease prevention and management. Methods Cox regression and forest plots were used to assess and demonstrate the relationship between their behavioral and non-behavioral factors and cardiovascular...
| Main Author: | |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
Institute of Basic Medical Sciences and Peking Union Medical College Hospital, Chinese Academy of Medical Sciences / Peking Union Medical College.
2023-11-01
|
| Series: | Jichu yixue yu linchuang |
| Subjects: | |
| Online Access: | http://journal11.magtechjournal.com/Jwk_jcyxylc/fileup/1001-6325/PDF/1001-6325-2023-43-11-1655.pdf |
| _version_ | 1797366311892811776 |
|---|---|
| author | SHEN Xiafen, CAI Qiang, YU Wei, XU Xiaohui |
| author_facet | SHEN Xiafen, CAI Qiang, YU Wei, XU Xiaohui |
| author_sort | SHEN Xiafen, CAI Qiang, YU Wei, XU Xiaohui |
| collection | DOAJ |
| description | Objective To highlight the impact of behavioral and non-behavioral factors on cardiovascular health, disease prevention and management. Methods Cox regression and forest plots were used to assess and demonstrate the relationship between their behavioral and non-behavioral factors and cardiovascular disease (CVD) risk in a study population of 20 745 people at high cardiovascular risk from Zhejing province. Apriori algorithm was used to analyze the correlation between behavioral factors and non-behavioral factors for people with at least one of the greatest risk behavioral factors. Results The incidence of cardiovascular risk in Zhejiang province was positively related to age and inversely related to education level of target population. The higher risk was identified in in male and population in urban citities as compared to female and the people in rural areas; The risk was positively related to smoking intensity and showed a U-shaped association with alcohol intake; The incidence was lowest in those who were mainly standing during routine work; The risk was lower in those who had a clear distinction between busy and idle farming activity in farmers; Men who were engaged in general physical labor and never smoked nor drank high dose of alcohol; Women who never smoked and drank, but did not work and at home were important factors related to the higher cardiovascular risk rate. Conclusions There are a wide range of factors affecting the high-risk population of cardiovascular disease, and there is a certain correlation among these factors. |
| first_indexed | 2024-03-08T17:03:27Z |
| format | Article |
| id | doaj.art-dfb568889cf84301bc82ad85ff6acaff |
| institution | Directory Open Access Journal |
| issn | 1001-6325 |
| language | zho |
| last_indexed | 2024-03-08T17:03:27Z |
| publishDate | 2023-11-01 |
| publisher | Institute of Basic Medical Sciences and Peking Union Medical College Hospital, Chinese Academy of Medical Sciences / Peking Union Medical College. |
| record_format | Article |
| series | Jichu yixue yu linchuang |
| spelling | doaj.art-dfb568889cf84301bc82ad85ff6acaff2024-01-04T07:33:56ZzhoInstitute of Basic Medical Sciences and Peking Union Medical College Hospital, Chinese Academy of Medical Sciences / Peking Union Medical College.Jichu yixue yu linchuang1001-63252023-11-0143111655166110.16352/j.issn.1001-6325.2023.11.1655Influencing factors and correlation analysis of population with high risk of cardiovascular diseasesSHEN Xiafen, CAI Qiang, YU Wei, XU Xiaohui01. Risk Assessment Laboratory,Food and Health Research Institute,Yangtze Delta Region Institute of Tsinghua University,Jiaxing 314006; ;2. Department of Cardiovascular Medicine,Zhejiang Hospital,Hangzhou 310013,ChinaObjective To highlight the impact of behavioral and non-behavioral factors on cardiovascular health, disease prevention and management. Methods Cox regression and forest plots were used to assess and demonstrate the relationship between their behavioral and non-behavioral factors and cardiovascular disease (CVD) risk in a study population of 20 745 people at high cardiovascular risk from Zhejing province. Apriori algorithm was used to analyze the correlation between behavioral factors and non-behavioral factors for people with at least one of the greatest risk behavioral factors. Results The incidence of cardiovascular risk in Zhejiang province was positively related to age and inversely related to education level of target population. The higher risk was identified in in male and population in urban citities as compared to female and the people in rural areas; The risk was positively related to smoking intensity and showed a U-shaped association with alcohol intake; The incidence was lowest in those who were mainly standing during routine work; The risk was lower in those who had a clear distinction between busy and idle farming activity in farmers; Men who were engaged in general physical labor and never smoked nor drank high dose of alcohol; Women who never smoked and drank, but did not work and at home were important factors related to the higher cardiovascular risk rate. Conclusions There are a wide range of factors affecting the high-risk population of cardiovascular disease, and there is a certain correlation among these factors.http://journal11.magtechjournal.com/Jwk_jcyxylc/fileup/1001-6325/PDF/1001-6325-2023-43-11-1655.pdfcardiovascular disease|high risk group|behavioral factor|cox regression|apriori algorithm |
| spellingShingle | SHEN Xiafen, CAI Qiang, YU Wei, XU Xiaohui Influencing factors and correlation analysis of population with high risk of cardiovascular diseases Jichu yixue yu linchuang cardiovascular disease|high risk group|behavioral factor|cox regression|apriori algorithm |
| title | Influencing factors and correlation analysis of population with high risk of cardiovascular diseases |
| title_full | Influencing factors and correlation analysis of population with high risk of cardiovascular diseases |
| title_fullStr | Influencing factors and correlation analysis of population with high risk of cardiovascular diseases |
| title_full_unstemmed | Influencing factors and correlation analysis of population with high risk of cardiovascular diseases |
| title_short | Influencing factors and correlation analysis of population with high risk of cardiovascular diseases |
| title_sort | influencing factors and correlation analysis of population with high risk of cardiovascular diseases |
| topic | cardiovascular disease|high risk group|behavioral factor|cox regression|apriori algorithm |
| url | http://journal11.magtechjournal.com/Jwk_jcyxylc/fileup/1001-6325/PDF/1001-6325-2023-43-11-1655.pdf |
| work_keys_str_mv | AT shenxiafencaiqiangyuweixuxiaohui influencingfactorsandcorrelationanalysisofpopulationwithhighriskofcardiovasculardiseases |