Development and validation of a depression risk prediction nomogram for US Adults with hypertension, based on NHANES 2007–2018

• DOI: 10.1371/journal.pone.0284113
• Publication Date: 2023-04-05T17:49:35Z
• Authors: Yicheng Wang; Yan Zhang; Binghang Ni; Yu Jiang; Yu Ouyang
• Keywords: Nomogram; Univariate; Marital status

Depression is of increasing concern as its prevalence increases. Our study’s objective was to create and evaluate a nomogram predict the likelihood that hypertension patients may experience depression. 13293 people with who were under 20 years old chosen from National Health Nutrition Examination Survey (NHANES) database between 2007 2018 for this study. The training validation sets split up into dataset at random in 7:3 ratio. To find independent predictors, univariate multivariate logistic regression employed on set. Using information set, subsequently created internally validated. effectiveness assessed using calibration curve receiver operator characteristic (ROC) curve. Combining analysis multifactor analysis, results showed age, sex, race, marital, education level, sleep time workdays, poverty income ratio, smoking, alcohol consumption, sedentary heart failure status risk factors hypertensive suffering depression included model, ROC AUC set 0.757 (0.797–0.586), sensitivity 0.586; test 0.724 (0.712–0.626), 0.626, which good fit. Decision further confirms value clinical application. In civilian non-institutionalized population United States, our study suggests can aid predicting aiding selection most effective treatments.