Latent Profile Analysis of Distress Disclosure in Patients Undergoing Assisted Reproductive Technology
SONG Dan-ni
ZHU Rong
PU Cong-shan
WANG Yi-ting
JIANG Wei-wei
HU Shuang
SHAN Chun-jian
Abstract：Objective:To explore the latent profiles of distress disclosure in patients undergoing assisted reproductive technology(ART),and to analyze the influence factors among different classes.Methods:Through the convenience sampling,patients undergoing ART were recruited from Women's Hospital of Nanjing Medical University from August to October 2023.Basic Information Questionnaire and Distress Disclosure Index(DDI)were collected.Mplus 8.0 was used for exploratory latent profile analysis,and SPSS 27.0 for univariate analysis and multinomial Logistic regression.Results:A total of 192 patients undergoing ART were finally investigated with a median DDI score 39.00(31.00,47.00).Distress disclosure manifested itself in 3 potential categories named low disclosure type(n=41,21.4％),medium disclosure type(n=82,42.7％)and high disclosure type(n=69,35.9％).Multinomial Logistic regression showed that the education level,place of residence,number of ART treatment cycles,source of reproductive pressure,financial burden during treatment and the cause of infertility were factors influencing the latent profiles of distress disclosure in patients undergoing ART(all P＜0.05).Conclusions:The distress disclosure in patients undergoing ART has obvious classification characteristics.Medical staff should identify patients and carry out the targeted interventions according to the patients with different distress disclosure characteristics to self-expression in order to reduce psychological distress.
Keywords：Reproductive techniquesassistedDistress disclosureLatent profile analysisRoot cause analysisSurveys and questionnaires
Publication Date：2024-11-15
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：7( 441-446,474 )