A predictive model for depression risk in individuals with hypertension: evidence from NHANES 2007–2020
Abstract Objective Hypertension increases the prevalence of depression to a certain extent and identification and diagnosis of depression frequently pose challenges for clinicians. The study aimed to construct and validate a scoring model predicting the prevalence of depression with hypertension. Me...
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BMC
2025-01-01
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| Series: | BMC Public Health |
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| Online Access: | https://doi.org/10.1186/s12889-025-21289-3 |
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| author | Keyou Wen Yuxin Nie Yilin Lai Ping Li Zhihua Huang Guangjiao Liu Yueqiao Zhong Huamei Li Jiahua Liang |
| author_facet | Keyou Wen Yuxin Nie Yilin Lai Ping Li Zhihua Huang Guangjiao Liu Yueqiao Zhong Huamei Li Jiahua Liang |
| author_sort | Keyou Wen |
| collection | DOAJ |
| description | Abstract Objective Hypertension increases the prevalence of depression to a certain extent and identification and diagnosis of depression frequently pose challenges for clinicians. The study aimed to construct and validate a scoring model predicting the prevalence of depression with hypertension. Methods 6124 individuals with hypertension were utilized from the 2007 to 2020 National Health and Nutrition Examination Survey database (NHANES), including 645 subjects that were assessed to have depressive symptoms, 390 in the development group and 255 in the validation group. Univariable and multivariable analyses were applied to analyze the impact of each parameter on depression with hypertension, resulting in establishment of a predictive model. Finally, the discriminability, calibration ability, and clinical efficacy of the model were verified for both the derivation set and validation set. Results Ten variables comprised this model: age, gender, race, poverty to income ratio (PIR), smoke, sleep hours, exercise, diabetes, congestive heart failure, stroke. The area under the receiver operating characteristic curve for the derivation and validating sets was 0.790 and 0.723, respectively, which showed excellent discriminability. The model also fitted well with the actual prevalence of depression with hypertension in calibration and decision curve analysis (DCA) demonstrated that the depression model was practically useful. Conclusion This scoring model may provide an additional perspective for evaluating the underlying risk factors of depression for hypertensive individuals. |
| format | Article |
| id | doaj-art-44ea691bb0d24cd38de928c4f8eb8472 |
| institution | Kabale University |
| issn | 1471-2458 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Public Health |
| spelling | doaj-art-44ea691bb0d24cd38de928c4f8eb84722025-01-12T12:42:55ZengBMCBMC Public Health1471-24582025-01-0125111110.1186/s12889-025-21289-3A predictive model for depression risk in individuals with hypertension: evidence from NHANES 2007–2020Keyou Wen0Yuxin Nie1Yilin Lai2Ping Li3Zhihua Huang4Guangjiao Liu5Yueqiao Zhong6Huamei Li7Jiahua Liang8Sun Yat-sen UniversityGuangzhou University of Chinese MedicineGuangdong Medical UniversityMeizhou Hospital of Guangzhou University of Chinese MedicineMeizhou Hospital of Guangzhou University of Chinese MedicineMeizhou Hospital of Guangzhou University of Chinese MedicineMeizhou Hospital of Guangzhou University of Chinese MedicineMeizhou Hospital of Guangzhou University of Chinese MedicineMeizhou Hospital of Guangzhou University of Chinese MedicineAbstract Objective Hypertension increases the prevalence of depression to a certain extent and identification and diagnosis of depression frequently pose challenges for clinicians. The study aimed to construct and validate a scoring model predicting the prevalence of depression with hypertension. Methods 6124 individuals with hypertension were utilized from the 2007 to 2020 National Health and Nutrition Examination Survey database (NHANES), including 645 subjects that were assessed to have depressive symptoms, 390 in the development group and 255 in the validation group. Univariable and multivariable analyses were applied to analyze the impact of each parameter on depression with hypertension, resulting in establishment of a predictive model. Finally, the discriminability, calibration ability, and clinical efficacy of the model were verified for both the derivation set and validation set. Results Ten variables comprised this model: age, gender, race, poverty to income ratio (PIR), smoke, sleep hours, exercise, diabetes, congestive heart failure, stroke. The area under the receiver operating characteristic curve for the derivation and validating sets was 0.790 and 0.723, respectively, which showed excellent discriminability. The model also fitted well with the actual prevalence of depression with hypertension in calibration and decision curve analysis (DCA) demonstrated that the depression model was practically useful. Conclusion This scoring model may provide an additional perspective for evaluating the underlying risk factors of depression for hypertensive individuals.https://doi.org/10.1186/s12889-025-21289-3HypertensionDepressionPredictive modelPrevalenceRisk factorsUSA |
| spellingShingle | Keyou Wen Yuxin Nie Yilin Lai Ping Li Zhihua Huang Guangjiao Liu Yueqiao Zhong Huamei Li Jiahua Liang A predictive model for depression risk in individuals with hypertension: evidence from NHANES 2007–2020 BMC Public Health Hypertension Depression Predictive model Prevalence Risk factors USA |
| title | A predictive model for depression risk in individuals with hypertension: evidence from NHANES 2007–2020 |
| title_full | A predictive model for depression risk in individuals with hypertension: evidence from NHANES 2007–2020 |
| title_fullStr | A predictive model for depression risk in individuals with hypertension: evidence from NHANES 2007–2020 |
| title_full_unstemmed | A predictive model for depression risk in individuals with hypertension: evidence from NHANES 2007–2020 |
| title_short | A predictive model for depression risk in individuals with hypertension: evidence from NHANES 2007–2020 |
| title_sort | predictive model for depression risk in individuals with hypertension evidence from nhanes 2007 2020 |
| topic | Hypertension Depression Predictive model Prevalence Risk factors USA |
| url | https://doi.org/10.1186/s12889-025-21289-3 |
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