Department of Political Sciences, University of Naples Federico II, Via L. Rodinò 22, 80138, Naples, Italy.
Department of Humanities, University of Naples Federico II, Naples, Italy.
J Clin Psychol Med Settings. 2020 Dec;27(4):662-676. doi: 10.1007/s10880-019-09653-z.
The study aims to propose and test a multi-dimensional infertility-related stress model including socio-demographic and fertility-related characteristics, infertility-related stress dimensions, coping strategies and couple's dyadic adjustment dimensions as predictors of anxiety and depression among partners of couples undergoing infertility treatments. Both members of 250 infertile couples filled out a questionnaire consisting of Socio-demographics (Age; Educational level; Employment status), Fertility-related characteristics (Type of diagnosis; Duration of infertility), Fertility Problem Inventory-Short Form, Coping Orientations to Problem Experienced-New Italian Version, Dyadic Adjustment Scale, State-Trait Anxiety Inventory-Y and Edinburgh Depression Scale. Hierarchical Multiple Linear Regressions indicated that the proposed predictive models for anxiety and depression were significant and had good levels of fit with the data. Gender differences emerged in predictor variables. Findings provide valid predictive models that could be adopted to assess psychological health in infertile patients and to develop evidence-based and tailored counselling interventions at centres for assisted reproduction.
本研究旨在提出并检验一个多维的与不孕相关的压力模型，该模型包括社会人口学和生育相关特征、与不孕相关的压力维度、应对策略以及夫妇的对偶调整维度，作为接受不孕治疗的夫妇的伴侣的焦虑和抑郁的预测因素。250 对不孕夫妇的双方都填写了一份问卷，问卷包括社会人口学（年龄；教育水平；就业状况）、生育相关特征（诊断类型；不孕持续时间）、生育问题量表-短表、应对经验新意大利版、对偶调整量表、状态-特质焦虑量表-Y 和爱丁堡抑郁量表。分层多元线性回归表明，焦虑和抑郁的预测模型是显著的，并且与数据有很好的拟合度。预测变量存在性别差异。研究结果提供了有效的预测模型，可以用来评估不孕患者的心理健康，并在辅助生殖中心制定基于证据和量身定制的咨询干预措施。
