Depression in middle-aged and older adults with hearing loss: the use and construction of a nomogram tool
ObjectiveThis study aims to explore the influencing factors of depressive symptoms in middle-aged and older adult patients with hearing loss and to construct a nomogram risk prediction model.MethodsA total of 2,729 middle-aged and older adult patients with hearing loss from the community were select...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2024-12-01
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| Series: | Frontiers in Public Health |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fpubh.2024.1452285/full |
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| author | Qiankun Liu Zhongtao Zhou Yang Xu Jiaxue Pang Chunlu Zeng Xiaoqing Ma Pengyao Li Ma Li Juju Huang Hui Xie |
| author_facet | Qiankun Liu Zhongtao Zhou Yang Xu Jiaxue Pang Chunlu Zeng Xiaoqing Ma Pengyao Li Ma Li Juju Huang Hui Xie |
| author_sort | Qiankun Liu |
| collection | DOAJ |
| description | ObjectiveThis study aims to explore the influencing factors of depressive symptoms in middle-aged and older adult patients with hearing loss and to construct a nomogram risk prediction model.MethodsA total of 2,729 middle-aged and older adult patients with hearing loss from the community were selected as the study subjects. Single-factor and multifactorial stepwise logistic regression analyses were used to screen influencing factors. Based on these predictive factors, a nomogram prediction model was constructed. The model’s efficacy was validated using the area under the receiver operating characteristic curve (AUC) and 1,000 bootstrap resamples.ResultsMultifactorial logistic regression analysis revealed that age, gender, pain, cognitive abilities, daily living abilities, sleep duration, and self-rated health status are the main influencing factors for depressive symptoms. Based on these factors, the constructed nomogram model demonstrated good calibration (χ2 = 3.367, p = 0.909), with an AUC value of 0.741 (95% CI: 0.723–0.759), and a sensitivity of 0.683, showing good discriminative ability and accuracy.ConclusionThe incidence of depressive symptoms is relatively high among middle-aged and older adult individuals with hearing loss. The model developed in this study can effectively identify middle-aged and older adult patients with hearing loss who are at risk of depressive symptoms. This provides strong empirical support for the early detection, diagnosis, and intervention of depressive symptoms in middle-aged and older adult patients with hearing loss. |
| format | Article |
| id | doaj-art-62abcbd02e4e4648982a94c1853eba3b |
| institution | Kabale University |
| issn | 2296-2565 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Public Health |
| spelling | doaj-art-62abcbd02e4e4648982a94c1853eba3b2024-12-11T05:10:22ZengFrontiers Media S.A.Frontiers in Public Health2296-25652024-12-011210.3389/fpubh.2024.14522851452285Depression in middle-aged and older adults with hearing loss: the use and construction of a nomogram toolQiankun LiuZhongtao ZhouYang XuJiaxue PangChunlu ZengXiaoqing MaPengyao LiMa LiJuju HuangHui XieObjectiveThis study aims to explore the influencing factors of depressive symptoms in middle-aged and older adult patients with hearing loss and to construct a nomogram risk prediction model.MethodsA total of 2,729 middle-aged and older adult patients with hearing loss from the community were selected as the study subjects. Single-factor and multifactorial stepwise logistic regression analyses were used to screen influencing factors. Based on these predictive factors, a nomogram prediction model was constructed. The model’s efficacy was validated using the area under the receiver operating characteristic curve (AUC) and 1,000 bootstrap resamples.ResultsMultifactorial logistic regression analysis revealed that age, gender, pain, cognitive abilities, daily living abilities, sleep duration, and self-rated health status are the main influencing factors for depressive symptoms. Based on these factors, the constructed nomogram model demonstrated good calibration (χ2 = 3.367, p = 0.909), with an AUC value of 0.741 (95% CI: 0.723–0.759), and a sensitivity of 0.683, showing good discriminative ability and accuracy.ConclusionThe incidence of depressive symptoms is relatively high among middle-aged and older adult individuals with hearing loss. The model developed in this study can effectively identify middle-aged and older adult patients with hearing loss who are at risk of depressive symptoms. This provides strong empirical support for the early detection, diagnosis, and intervention of depressive symptoms in middle-aged and older adult patients with hearing loss.https://www.frontiersin.org/articles/10.3389/fpubh.2024.1452285/fullhearing lossdepressive symptomsmiddle-aged and older adult people in communitynomogramCHARLS |
| spellingShingle | Qiankun Liu Zhongtao Zhou Yang Xu Jiaxue Pang Chunlu Zeng Xiaoqing Ma Pengyao Li Ma Li Juju Huang Hui Xie Depression in middle-aged and older adults with hearing loss: the use and construction of a nomogram tool Frontiers in Public Health hearing loss depressive symptoms middle-aged and older adult people in community nomogram CHARLS |
| title | Depression in middle-aged and older adults with hearing loss: the use and construction of a nomogram tool |
| title_full | Depression in middle-aged and older adults with hearing loss: the use and construction of a nomogram tool |
| title_fullStr | Depression in middle-aged and older adults with hearing loss: the use and construction of a nomogram tool |
| title_full_unstemmed | Depression in middle-aged and older adults with hearing loss: the use and construction of a nomogram tool |
| title_short | Depression in middle-aged and older adults with hearing loss: the use and construction of a nomogram tool |
| title_sort | depression in middle aged and older adults with hearing loss the use and construction of a nomogram tool |
| topic | hearing loss depressive symptoms middle-aged and older adult people in community nomogram CHARLS |
| url | https://www.frontiersin.org/articles/10.3389/fpubh.2024.1452285/full |
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