Development and validation of a prediction model for depression in adolescents with polycystic ovary syndrome: A study protocol

作者：Rui Ding, Zhou Heng, Xin Yan, Ying Liu, Yunmei Guo, Huiwen Tan, Xueting Wang, Yousha Wang, Lianhong Wang · 发表于：Frontiers in Psychiatry · 年份：2022 · DOI：10.3389/fpsyt.2022.984653 · 被引用次数：8 · 研究领域：Ovarian function and disorders、COVID-19 and Mental Health、Maternal Mental Health During Pregnancy and Postpartum

Introduction: The high prevalence and severity of depression in adolescents with polycystic ovary syndrome (PCOS) is a critical health threat that must be taken seriously. The identification of high-risk groups for depression in adolescents with PCOS is essential to preventing its development and improving its prognosis. At present, the routine screening of depression in adolescents with PCOS is mainly performed using scales, and there is no early identification method for high-risk groups of PCOS depression in adolescents. It is necessary to use a warning model to identify high-risk groups for depression with PCOS in adolescents. Methods and analysis: Model development and validation will be conducted using a retrospective study. The study will involve normal adolescent girls as the control group and adolescent PCOS patients as the experimental group. We will collect not only general factors such as individual susceptibility factors, biological factors, and psychosocial environmental factors of depression in adolescence, but will also examine the pathological factors, illness perception factors, diagnosis and treatment factors, and symptom-related factors of PCOS, as well as the outcome of depression. LASSO will be used to fit a multivariate warning model of depression risk. Data collected between January 2022 and August 2022 will be used to develop and validate the model internally, and data collected between September 2022 and December 2022 will be used for external valida...