Correlation of visceral adiposity index and dietary profile with cardiovascular disease based on decision tree modeling: a cross-sectional study of NHANES
Abstract Background Visceral adiposity index (VAI) and diets are associated with the risk of cardiovascular disease (CVD). It is unclear how well VAI and diet predict CVD. Methods Data were obtained from the National Health and Nutrition Examination Survey (NHANES 2017–2018). Demographic data, diets...
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BMC
2025-02-01
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| Series: | European Journal of Medical Research |
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| Online Access: | https://doi.org/10.1186/s40001-025-02340-w |
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| author | Shiyong Xu Yirou Cai Haizhen Hu Changlin Zhai |
| author_facet | Shiyong Xu Yirou Cai Haizhen Hu Changlin Zhai |
| author_sort | Shiyong Xu |
| collection | DOAJ |
| description | Abstract Background Visceral adiposity index (VAI) and diets are associated with the risk of cardiovascular disease (CVD). It is unclear how well VAI and diet predict CVD. Methods Data were obtained from the National Health and Nutrition Examination Survey (NHANES 2017–2018). Demographic data, diets, biochemical examination, and questionnaire information were collected. VAI was calculated using body mass index, waist circumference, triglycerides, and high-density lipoprotein cholesterol. Binary logistic regression was adopted to examine the correlation of VAI and diets with CVD. A decision tree model was developed to predict CVD risk according to different factors. Results 2104 participants (mean age: 50.87 ± 17.35 years, 48.38% males) were included. Participants with high levels of VAI (≥ 2.18) had an elevated risk of CVD compared to those with low levels of VAI (≤ 0.76) (OR = 1.654, 95% CI: 1.025–2.669, P = 0.039). Compared with the low protein intake level (≤ 50.34 g), the upper intermediate (72.10–99.92 g) (OR = 0.445, 95% CI: 0.257–0.770, P = 0.004) and high (≥ 99.93 g) levels of protein intake (OR = 0.450, 95% CI: 0.236–0.858, P = 0.015) reduced CVD risk. The decision tree model unveiled that VAI, protein intake, and dietary fiber intake were predictors for CVD. Conclusion VAI and protein intake levels are independently associated with CVD risk and have predictive power for CVD. These findings can provide insights into the development of appropriate lifestyle and treatment strategies for patients to reduce the incidence of CVD. |
| format | Article |
| id | doaj-art-dcd76122d00a4e6fb0f0373ba42055ba |
| institution | DOAJ |
| issn | 2047-783X |
| language | English |
| publishDate | 2025-02-01 |
| publisher | BMC |
| record_format | Article |
| series | European Journal of Medical Research |
| spelling | doaj-art-dcd76122d00a4e6fb0f0373ba42055ba2025-08-20T03:13:17ZengBMCEuropean Journal of Medical Research2047-783X2025-02-0130111010.1186/s40001-025-02340-wCorrelation of visceral adiposity index and dietary profile with cardiovascular disease based on decision tree modeling: a cross-sectional study of NHANESShiyong Xu0Yirou Cai1Haizhen Hu2Changlin Zhai3Department of Cardiology, Affiliated Hospital of Jiaxing UniversityHospital of the Chinese People’s Armed Police Force Maritime Safety BureauDepartment of Cardiology, Affiliated Hospital of Jiaxing UniversityDepartment of Cardiology, Affiliated Hospital of Jiaxing UniversityAbstract Background Visceral adiposity index (VAI) and diets are associated with the risk of cardiovascular disease (CVD). It is unclear how well VAI and diet predict CVD. Methods Data were obtained from the National Health and Nutrition Examination Survey (NHANES 2017–2018). Demographic data, diets, biochemical examination, and questionnaire information were collected. VAI was calculated using body mass index, waist circumference, triglycerides, and high-density lipoprotein cholesterol. Binary logistic regression was adopted to examine the correlation of VAI and diets with CVD. A decision tree model was developed to predict CVD risk according to different factors. Results 2104 participants (mean age: 50.87 ± 17.35 years, 48.38% males) were included. Participants with high levels of VAI (≥ 2.18) had an elevated risk of CVD compared to those with low levels of VAI (≤ 0.76) (OR = 1.654, 95% CI: 1.025–2.669, P = 0.039). Compared with the low protein intake level (≤ 50.34 g), the upper intermediate (72.10–99.92 g) (OR = 0.445, 95% CI: 0.257–0.770, P = 0.004) and high (≥ 99.93 g) levels of protein intake (OR = 0.450, 95% CI: 0.236–0.858, P = 0.015) reduced CVD risk. The decision tree model unveiled that VAI, protein intake, and dietary fiber intake were predictors for CVD. Conclusion VAI and protein intake levels are independently associated with CVD risk and have predictive power for CVD. These findings can provide insights into the development of appropriate lifestyle and treatment strategies for patients to reduce the incidence of CVD.https://doi.org/10.1186/s40001-025-02340-wNHANESDecision treeVisceral adiposity indexCardiovascular disease |
| spellingShingle | Shiyong Xu Yirou Cai Haizhen Hu Changlin Zhai Correlation of visceral adiposity index and dietary profile with cardiovascular disease based on decision tree modeling: a cross-sectional study of NHANES European Journal of Medical Research NHANES Decision tree Visceral adiposity index Cardiovascular disease |
| title | Correlation of visceral adiposity index and dietary profile with cardiovascular disease based on decision tree modeling: a cross-sectional study of NHANES |
| title_full | Correlation of visceral adiposity index and dietary profile with cardiovascular disease based on decision tree modeling: a cross-sectional study of NHANES |
| title_fullStr | Correlation of visceral adiposity index and dietary profile with cardiovascular disease based on decision tree modeling: a cross-sectional study of NHANES |
| title_full_unstemmed | Correlation of visceral adiposity index and dietary profile with cardiovascular disease based on decision tree modeling: a cross-sectional study of NHANES |
| title_short | Correlation of visceral adiposity index and dietary profile with cardiovascular disease based on decision tree modeling: a cross-sectional study of NHANES |
| title_sort | correlation of visceral adiposity index and dietary profile with cardiovascular disease based on decision tree modeling a cross sectional study of nhanes |
| topic | NHANES Decision tree Visceral adiposity index Cardiovascular disease |
| url | https://doi.org/10.1186/s40001-025-02340-w |
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