Analysis of influencing factors for social avoidance and distress among infertile patients based on LASSO and XGBoost algorithms

OBJECTIVE: Infertility negatively impacts mental health and quality of life, with social avoidance and distress (SAD) being a key but underrecognized issue. This study aims to analyze SAD risk factors in infertility patients. METHODS: = 112) groups. LASSO regression and XGBoost identified key variables, followed by logistic regression and ROC analysis. AUC values ranged 0.694-0.723, showing only modest discriminative ability. CONCLUSION: SAD in infertility patients is independently associated with age, ISS, SES, CD-RISC and SRQS scores, each with moderate predictive value. These findings support the application of the above indicators for early identification and risk assessment of SAD among infertile populations.