The purpose of this study was to investigate how symptom distress, social role, interpersonal relationships, gender, age, number of supports, and education level predict client attrition in a community sample. Using binary logistic regression and cross‐sectional data, the authors examined the predictive impact of 8 variables on adult client attrition in a university‐based community counseling clinic. Results indicated that education level, interpersonal relationships, and number of supports significantly predicted attrition. In this sample, gender, age, symptom distress, social role, and race did not significantly predict attrition. Implications for clinical assessment and counseling practice are discussed.

中文翻译：

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基于大学的社区咨询诊所中客户流失的预测因素

这项研究的目的是调查症状困扰，社会角色，人际关系，性别，年龄，支持人数和教育水平如何预测社区样本中的客户流失。使用二元逻辑回归和横截面数据，作者在一家大学社区咨询诊所中检验了8个变量对成年客户流失的预测影响。结果表明，受教育程度，人际关系和支持人数显着预测了损耗。在这个样本中，性别，年龄，症状困扰，社会角色和种族没有显着预测损耗。讨论了对临床评估和咨询实践的影响。