Analysis of influencing factors and prediction model construction for asthenopia in mental laborers
Objective To analyze influencing factors of asthenopia among mental laborers, and construct a predictive model. Methods This cross-sectional study included mental laborers. Basic information, lifestyle habits, and ocular health were collected. Ocular health was assessed using the Ocular Surface Di...
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| Format: | Article |
| Language: | zho |
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Editorial Office of New Medicine
2024-11-01
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| Series: | Yixue xinzhi zazhi |
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| Online Access: | https://yxxz.whuznhmedj.com/futureApi/storage/attach/2412/iMFnDLf5w4JG2lTCl8Q9fv2fZIM2bZAjZJf4EVoK.pdf |
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| _version_ | 1846110404652040192 |
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| author | WANG Hui MA Xiaolu ZHANG Yun ZHANG Lingling LIU Hui ZHANG Zhenhua SUN Jing GU Jun |
| author_facet | WANG Hui MA Xiaolu ZHANG Yun ZHANG Lingling LIU Hui ZHANG Zhenhua SUN Jing GU Jun |
| author_sort | WANG Hui |
| collection | DOAJ |
| description | Objective To analyze influencing factors of asthenopia among mental laborers, and construct a predictive model. Methods This cross-sectional study included mental laborers. Basic information, lifestyle habits, and ocular health were collected. Ocular health was assessed using the Ocular Surface Disease Index (OSDI), the Allergic Conjunctivitis 12-item (AC-12), and the Asthenopia Survey Questionnaire 17-Item (ASQ-17). Univariate and multivariate Logistic regression analyses were conducted to identify factors associated with asthenopia and to construct a predictive model. The performance of the predictive model was comprehensively evaluated and validated using the receiver operating characteristic (ROC) curve and area under curve (AUC), calibration curve, decision curve analysis, and Bootstrap resampling method. Results 221 mental laborers were included, with 102 (46.15%) having asthenopia. Multivariate Logistic regression analysis showed that dry eye [OR=1.16, 95%CI(1.10, 1.21)] and allergic conjunctivitis [OR=1.17, 95%CI(1.06, 1.28)] were risk factors for asthenopia, while appropriate sleep duration with 8~ |
| format | Article |
| id | doaj-art-8c626902ba6840da83d1a4ee0b74cb05 |
| institution | Kabale University |
| issn | 1004-5511 |
| language | zho |
| publishDate | 2024-11-01 |
| publisher | Editorial Office of New Medicine |
| record_format | Article |
| series | Yixue xinzhi zazhi |
| spelling | doaj-art-8c626902ba6840da83d1a4ee0b74cb052024-12-24T08:30:06ZzhoEditorial Office of New MedicineYixue xinzhi zazhi1004-55112024-11-0134111210121910.12173/j.issn.1004-5511.2024070856557Analysis of influencing factors and prediction model construction for asthenopia in mental laborersWANG HuiMA XiaoluZHANG YunZHANG LinglingLIU HuiZHANG ZhenhuaSUN JingGU JunObjective To analyze influencing factors of asthenopia among mental laborers, and construct a predictive model. Methods This cross-sectional study included mental laborers. Basic information, lifestyle habits, and ocular health were collected. Ocular health was assessed using the Ocular Surface Disease Index (OSDI), the Allergic Conjunctivitis 12-item (AC-12), and the Asthenopia Survey Questionnaire 17-Item (ASQ-17). Univariate and multivariate Logistic regression analyses were conducted to identify factors associated with asthenopia and to construct a predictive model. The performance of the predictive model was comprehensively evaluated and validated using the receiver operating characteristic (ROC) curve and area under curve (AUC), calibration curve, decision curve analysis, and Bootstrap resampling method. Results 221 mental laborers were included, with 102 (46.15%) having asthenopia. Multivariate Logistic regression analysis showed that dry eye [OR=1.16, 95%CI(1.10, 1.21)] and allergic conjunctivitis [OR=1.17, 95%CI(1.06, 1.28)] were risk factors for asthenopia, while appropriate sleep duration with 8~https://yxxz.whuznhmedj.com/futureApi/storage/attach/2412/iMFnDLf5w4JG2lTCl8Q9fv2fZIM2bZAjZJf4EVoK.pdfasthenopiamental laborersinfluencing factorpredictive modeltea drinkingsleep durationdry eyeallergic conjunctivitis |
| spellingShingle | WANG Hui MA Xiaolu ZHANG Yun ZHANG Lingling LIU Hui ZHANG Zhenhua SUN Jing GU Jun Analysis of influencing factors and prediction model construction for asthenopia in mental laborers Yixue xinzhi zazhi asthenopia mental laborers influencing factor predictive model tea drinking sleep duration dry eye allergic conjunctivitis |
| title | Analysis of influencing factors and prediction model construction for asthenopia in mental laborers |
| title_full | Analysis of influencing factors and prediction model construction for asthenopia in mental laborers |
| title_fullStr | Analysis of influencing factors and prediction model construction for asthenopia in mental laborers |
| title_full_unstemmed | Analysis of influencing factors and prediction model construction for asthenopia in mental laborers |
| title_short | Analysis of influencing factors and prediction model construction for asthenopia in mental laborers |
| title_sort | analysis of influencing factors and prediction model construction for asthenopia in mental laborers |
| topic | asthenopia mental laborers influencing factor predictive model tea drinking sleep duration dry eye allergic conjunctivitis |
| url | https://yxxz.whuznhmedj.com/futureApi/storage/attach/2412/iMFnDLf5w4JG2lTCl8Q9fv2fZIM2bZAjZJf4EVoK.pdf |
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