Nomogram reliability for predicting potential risk in postgraduate medical students with anxiety symptoms
Purpose: This research aims to develop a Nomogram for exact anxiety symptoms prediction in postgraduate medical students so that they may be identified as high-risk individuals early and get focused care. Methods: Using a convenient sampling method, for case-control matching, 126 participants with a...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2022-10-01
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| Series: | Heliyon |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2405844022020916 |
| _version_ | 1797991839653953536 |
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| author | Zewen Huang Lejun Zhang Junyu Wang Tingting Wang Lu Xu Xialing Yang Heli Lu |
| author_facet | Zewen Huang Lejun Zhang Junyu Wang Tingting Wang Lu Xu Xialing Yang Heli Lu |
| author_sort | Zewen Huang |
| collection | DOAJ |
| description | Purpose: This research aims to develop a Nomogram for exact anxiety symptoms prediction in postgraduate medical students so that they may be identified as high-risk individuals early and get focused care. Methods: Using a convenient sampling method, for case-control matching, 126 participants with anxiety symptoms and 774 participants of the same age and gender but without anxiety symptoms were designated as the case group and control group, respectively. Multivariable logistic regression analysis was utilized to identify influencing factors for anxiety symptoms, then used to design and verify a Nomogram of anxiety symptoms. Results: Multivariate logistic regression analysis showed that lack of social support (OR = 0.95, 95%CI: 0.91–0.99), low life satisfaction (OR = 0.91, 95%CI: 0.86–0.95), low subjective well-being (OR = 0.58, 95%CI: 0.41–0.83) and frequent tobacco and alcohol use (OR = 1.75, 95%CI: 1.10–2.80) were independent predictors of anxiety symptoms in postgraduate medical students (P < 0.05). The Nomogram risk prediction model based on the above four independent prediction factors was established, and the verified C-index (Concordance index) is 0.787 (95%CI: 0.744–0.803, P < 0.001). Conclusions: Anxiety symptoms in postgraduate medical students are influenced by various variables. The Nomogram prediction model has high accuracy, validity, and reliability, which can provide reference for predicting anxiety symptoms in postgraduate medical students. |
| first_indexed | 2024-04-11T08:58:24Z |
| format | Article |
| id | doaj.art-720b4c0d57f8400f8c84e7f60a9946f2 |
| institution | Directory Open Access Journal |
| issn | 2405-8440 |
| language | English |
| last_indexed | 2024-04-11T08:58:24Z |
| publishDate | 2022-10-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Heliyon |
| spelling | doaj.art-720b4c0d57f8400f8c84e7f60a9946f22022-12-22T04:33:08ZengElsevierHeliyon2405-84402022-10-01810e10803Nomogram reliability for predicting potential risk in postgraduate medical students with anxiety symptomsZewen Huang0Lejun Zhang1Junyu Wang2Tingting Wang3Lu Xu4Xialing Yang5Heli Lu6Department of Psychosomatic Medicine, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China; Faculty of Medicine, Macau University of Science and Technology, Macao, ChinaSchool of Psychology, South China Normal University, Guangzhou, Guangdong, ChinaSchool of Cyberspace, Hangzhou Dianzi University, Hangzhou, Zhejiang, ChinaFaculty of Medicine, Macau University of Science and Technology, Macao, ChinaSchool of Psychology and Cognitive Science, East China Normal University, Shanghai, ChinaGraduate Department, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, ChinaDepartment of Psychosomatic Medicine, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China; Corresponding author.Purpose: This research aims to develop a Nomogram for exact anxiety symptoms prediction in postgraduate medical students so that they may be identified as high-risk individuals early and get focused care. Methods: Using a convenient sampling method, for case-control matching, 126 participants with anxiety symptoms and 774 participants of the same age and gender but without anxiety symptoms were designated as the case group and control group, respectively. Multivariable logistic regression analysis was utilized to identify influencing factors for anxiety symptoms, then used to design and verify a Nomogram of anxiety symptoms. Results: Multivariate logistic regression analysis showed that lack of social support (OR = 0.95, 95%CI: 0.91–0.99), low life satisfaction (OR = 0.91, 95%CI: 0.86–0.95), low subjective well-being (OR = 0.58, 95%CI: 0.41–0.83) and frequent tobacco and alcohol use (OR = 1.75, 95%CI: 1.10–2.80) were independent predictors of anxiety symptoms in postgraduate medical students (P < 0.05). The Nomogram risk prediction model based on the above four independent prediction factors was established, and the verified C-index (Concordance index) is 0.787 (95%CI: 0.744–0.803, P < 0.001). Conclusions: Anxiety symptoms in postgraduate medical students are influenced by various variables. The Nomogram prediction model has high accuracy, validity, and reliability, which can provide reference for predicting anxiety symptoms in postgraduate medical students.http://www.sciencedirect.com/science/article/pii/S2405844022020916Anxiety symptomsMedical studentsNomogramCase-control study |
| spellingShingle | Zewen Huang Lejun Zhang Junyu Wang Tingting Wang Lu Xu Xialing Yang Heli Lu Nomogram reliability for predicting potential risk in postgraduate medical students with anxiety symptoms Heliyon Anxiety symptoms Medical students Nomogram Case-control study |
| title | Nomogram reliability for predicting potential risk in postgraduate medical students with anxiety symptoms |
| title_full | Nomogram reliability for predicting potential risk in postgraduate medical students with anxiety symptoms |
| title_fullStr | Nomogram reliability for predicting potential risk in postgraduate medical students with anxiety symptoms |
| title_full_unstemmed | Nomogram reliability for predicting potential risk in postgraduate medical students with anxiety symptoms |
| title_short | Nomogram reliability for predicting potential risk in postgraduate medical students with anxiety symptoms |
| title_sort | nomogram reliability for predicting potential risk in postgraduate medical students with anxiety symptoms |
| topic | Anxiety symptoms Medical students Nomogram Case-control study |
| url | http://www.sciencedirect.com/science/article/pii/S2405844022020916 |
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