Assessing the depression risk in the U.S. adults using nomogram.

ABSTRACT:

Background

Depression has received a lot of attention as a common and serious illness. However, people are rarely aware of their current depression risk probabilities. We aimed to develop and validate a predictive model applicable to the risk of depression in US adults.

Methods

This study was conducted using the database of the National Health and Nutrition Examination Survey (NHANES, 2017-2012). In particular, NHANES (2007-2010) was used as the training cohort (n = 6015) for prediction model construction and NHANES (2011-2012) was used as the validation cohort (n = 2812) to test the model. Depression was assessed (defined as a binary variable) by the Patient Health Questionnaire (PHQ-9). Socio-demographic characteristics, sleep time, illicit drug use and anxious days were a

SUBMITTER: Zhang Y 

PROVIDER: S-EPMC8889727 | biostudies-literature | 2022 Mar

REPOSITORIES: biostudies-literature