Average treatment effects (n = 347): adjusted for outcome specific covariates.

Model-estimated differences after adjusting for baseline anxiety, age, sex, NGO affiliation, and education in all models and for covariates significantly associated with each specific outcome. All models include multiple imputation by chained equations for missing data and for missing outcomes due to loss to follow-up. Robust standard error estimators are used to account for clustering by counselor. “Pre-post change” is the change from pre-intervention to post-intervention.aMeasured using Cohen's d statistic and pooled baseline variances.**pAverage treatment effects (n = 347): adjusted for outcome specific covariates.所有模型均针对基线焦虑水平、年龄、性别、非政府组织（NGO）隶属关系及受教育程度进行校正，同时纳入与各特定结局显著相关的协变量，最终得到模型估算的组间差异。所有模型均采用链式方程多重插补法处理缺失数据及因失访导致的结局缺失值。采用稳健标准误估计量以校正咨询师聚类带来的组内相关问题。「干预前后变化量」指干预前至干预后的得分变化。注a：该指标通过科恩d（Cohen's d）统计量结合合并基线方差测算得到。**P：平均治疗效应（样本量n=347），已针对结局特异性协变量完成校正。