Influencing factors of metabolic syndrome among adults in Nanjing， China： an analysis based on decision tree and logistic regress models
ObjectiveWe analyzed the prevalence of metabolic syndrome in adult residents of Nanjing and explored its influencing factors in order to provide technical references for the prevention of metabolic syndrome.MethodsBased on the data of the Nanjing adult chronic disease thematic survey from January 20...
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| Format: | Article |
| Language: | zho |
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Shanghai Preventive Medicine Association
2023-01-01
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| Series: | Shanghai yufang yixue |
| Subjects: | |
| Online Access: | http://www.sjpm.org.cn/article/doi/10.19428/j.cnki.sjpm.2023.22306 |
| _version_ | 1797849615711600640 |
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| author | CHEN Yinghao YAO Zhuling WANG Zhiyong XU Fei |
| author_facet | CHEN Yinghao YAO Zhuling WANG Zhiyong XU Fei |
| author_sort | CHEN Yinghao |
| collection | DOAJ |
| description | ObjectiveWe analyzed the prevalence of metabolic syndrome in adult residents of Nanjing and explored its influencing factors in order to provide technical references for the prevention of metabolic syndrome.MethodsBased on the data of the Nanjing adult chronic disease thematic survey from January 2017 to June 2018， the influencing factors of metabolic syndrome were analyzed using multifactorial logistic regression model and decision tree model.ResultsThe weighted prevalence of metabolic syndrome among people aged 18 years and over in Nanjing was 16.14%（95%CI：16.12%‒16.16%）. Prevalence of metabolic syndrome was statistically different（P<0.05）among respondents with different demographic characteristics. Logistic regression model analysis showed that age， gender， education， physical activity level， marriage status， smoking status， drinking status， weight status， diabetes and hypertension family history were the influencing factors for the prevalence of metabolic syndrome（P<0.05）. The results of the decision tree model showed that weight status was the most influential factor for metabolic syndrome， followed by age， gender， diabetes family history and smoking status.ConclusionThe prevalence of metabolic syndrome is high among the adult population in Nanjing， and special attention should be paid to middle-aged and elderly men who are overweight and obese， have a family history of diabetes and smoking. |
| first_indexed | 2024-04-09T18:47:57Z |
| format | Article |
| id | doaj.art-1660c24ba1ea4b808a286e75c7a57057 |
| institution | Directory Open Access Journal |
| issn | 1004-9231 |
| language | zho |
| last_indexed | 2024-04-09T18:47:57Z |
| publishDate | 2023-01-01 |
| publisher | Shanghai Preventive Medicine Association |
| record_format | Article |
| series | Shanghai yufang yixue |
| spelling | doaj.art-1660c24ba1ea4b808a286e75c7a570572023-04-10T09:29:39ZzhoShanghai Preventive Medicine AssociationShanghai yufang yixue1004-92312023-01-0135181410.19428/j.cnki.sjpm.2023.223061004-9231（2023）01-0008-07Influencing factors of metabolic syndrome among adults in Nanjing， China： an analysis based on decision tree and logistic regress modelsCHEN Yinghao0YAO Zhuling1WANG Zhiyong2XU Fei3School of Public Health, Nanjing Medical University,Nanjing, Jiangsu 210003,ChinaSchool of Public Health, Nanjing Medical University,Nanjing, Jiangsu 210003,ChinaSchool of Public Health, Nanjing Medical University,Nanjing, Jiangsu 210003,ChinaSchool of Public Health, Nanjing Medical University,Nanjing, Jiangsu 210003,ChinaObjectiveWe analyzed the prevalence of metabolic syndrome in adult residents of Nanjing and explored its influencing factors in order to provide technical references for the prevention of metabolic syndrome.MethodsBased on the data of the Nanjing adult chronic disease thematic survey from January 2017 to June 2018， the influencing factors of metabolic syndrome were analyzed using multifactorial logistic regression model and decision tree model.ResultsThe weighted prevalence of metabolic syndrome among people aged 18 years and over in Nanjing was 16.14%（95%CI：16.12%‒16.16%）. Prevalence of metabolic syndrome was statistically different（P<0.05）among respondents with different demographic characteristics. Logistic regression model analysis showed that age， gender， education， physical activity level， marriage status， smoking status， drinking status， weight status， diabetes and hypertension family history were the influencing factors for the prevalence of metabolic syndrome（P<0.05）. The results of the decision tree model showed that weight status was the most influential factor for metabolic syndrome， followed by age， gender， diabetes family history and smoking status.ConclusionThe prevalence of metabolic syndrome is high among the adult population in Nanjing， and special attention should be paid to middle-aged and elderly men who are overweight and obese， have a family history of diabetes and smoking.http://www.sjpm.org.cn/article/doi/10.19428/j.cnki.sjpm.2023.22306logistic regressiondecision tree modelmetabolic syndromeinfluencing factor |
| spellingShingle | CHEN Yinghao YAO Zhuling WANG Zhiyong XU Fei Influencing factors of metabolic syndrome among adults in Nanjing， China： an analysis based on decision tree and logistic regress models Shanghai yufang yixue logistic regression decision tree model metabolic syndrome influencing factor |
| title | Influencing factors of metabolic syndrome among adults in Nanjing， China： an analysis based on decision tree and logistic regress models |
| title_full | Influencing factors of metabolic syndrome among adults in Nanjing， China： an analysis based on decision tree and logistic regress models |
| title_fullStr | Influencing factors of metabolic syndrome among adults in Nanjing， China： an analysis based on decision tree and logistic regress models |
| title_full_unstemmed | Influencing factors of metabolic syndrome among adults in Nanjing， China： an analysis based on decision tree and logistic regress models |
| title_short | Influencing factors of metabolic syndrome among adults in Nanjing， China： an analysis based on decision tree and logistic regress models |
| title_sort | influencing factors of metabolic syndrome among adults in nanjing china an analysis based on decision tree and logistic regress models |
| topic | logistic regression decision tree model metabolic syndrome influencing factor |
| url | http://www.sjpm.org.cn/article/doi/10.19428/j.cnki.sjpm.2023.22306 |
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