Application of Logistic regression and decision tree analysis in early warning indicators of hypertension and diabetes comorbidity

WU Wen-wen; TAN Xiao-dong; SUN Dong-han; LI Li

doi:10.16462/j.cnki.zhjbkz.2022.07.014

Volume 26 Issue 7

Jul. 2022

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Article Navigation > CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION > 2022 > 26(7): 827-833

WU Wen-wen, TAN Xiao-dong, SUN Dong-han, LI Li. Application of Logistic regression and decision tree analysis in early warning indicators of hypertension and diabetes comorbidity[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2022, 26(7): 827-833. doi: 10.16462/j.cnki.zhjbkz.2022.07.014

Citation:

WU Wen-wen, TAN Xiao-dong, SUN Dong-han, LI Li. Application of Logistic regression and decision tree analysis in early warning indicators of hypertension and diabetes comorbidity[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2022, 26(7): 827-833. doi: 10.16462/j.cnki.zhjbkz.2022.07.014

Citation:

WU Wen-wen, TAN Xiao-dong, SUN Dong-han, LI Li. Application of Logistic regression and decision tree analysis in early warning indicators of hypertension and diabetes comorbidity[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2022, 26(7): 827-833. doi: 10.16462/j.cnki.zhjbkz.2022.07.014

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Application of Logistic regression and decision tree analysis in early warning indicators of hypertension and diabetes comorbidity

doi: 10.16462/j.cnki.zhjbkz.2022.07.014

WU Wen-wen^{1, 3},
TAN Xiao-dong²,
SUN Dong-han³,
LI Li^{3
,
,}

1.
Department of Preventive Medicine, School of Public Health, Hubei University of Medicine, Shiyan 442000, China
2.
School of Public Health, Wuhan University, Wuhan 430071, China
3.
Institute of Medicine and Nursing, Shiyan Renmin Hospital, Hubei University of Medicine, Shiyan 442000, China

Funds:

Natural Science Foundation of Hubei Provincial Department of Education Q20202104

Cultivating Project for Young Scholar at Hubei University of Medicine 2020QDJRW003

More Information

Corresponding author: LI Li, E-mail: lilirenyi@sohu.com
Received Date: 2021-07-21
Rev Recd Date: 2022-01-18

Available Online: 2022-07-19

Publish Date: 2022-07-10

Abstract

Abstract

Objective To study the status and warning indicators of hypertension-diabetes comorbidity (HDC) among adults in Hubei Province, so as to provide a scientific basis for the prevention and control of HDC. Methods A cross-sectional survey was conducted by using the multi-stage stratified random sampling method among residents aged ≥18 years from 11 districts of Hubei Province. Logistic regression model and decision tree model were used to analyze the warning indicators of HDC. Receiver operating characteristic (ROC) curve was used to evaluate the prediction effects of the two models. Results Both Logistic regression model and decision tree model showed that work intensity, smoking, marriage, gender, BMI and age were the warning indicators of HDC (all P < 0.05). The area under ROC curve of Logistic regression model was larger than that of decision tree model (0.967 vs. 0.933, Z=9.199, P < 0.001). Conclusions The predictive ability of the Logistic regression model is better than that of the decision tree model. However, it is essential to combine these two different methods to describe the warning indicators of HDC. Firstly, significant main effect of warning indicators should be screened out through Logistic regression. Then, the interaction between indicators should be further analyzed by using the decision tree model, so as to provide reference for the prevention and control of HDC.
- Hypertension,
- Diabetes,
- Comorbidity,
- Warning indicator,
- Logistic regression,
- Decision tree model

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References(19)

References

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