Adverse childhood experiences predict reaction to multiple sclerosis diagnosis

童年时期的不良经历可以预测对多发性硬化症诊断的反应

阅读:1

Abstract

OBJECTIVE: At the time of multiple sclerosis (MS) diagnosis, identifying those at risk for poorer health-related quality of life and emotional well-being can be a critical consideration for treatment planning. This study aimed to test whether adverse childhood experiences predict MS patients' health-related quality of life and emotional functioning at time of diagnosis and initial course of disease. METHODS: We recruited patients at the time of new MS diagnosis to complete self-report surveys at baseline and a one-year follow-up. Questionnaires included the Adverse Childhood Experiences (ACEs), as well as the MS Knowledge Questionnaire (MSKQ), the 36-Item Short Form Health Survey (SF-36), and Self-Management Screening (SeMaS). RESULTS: A total of n = 31 participants recently diagnosed with relapsing remitting MS (median EDSS = 1.0, age M = 33.84 ± 8.4 years) completed the study measures. The ACEs significantly predicted health-related quality of life (SF-36) at baseline (Adjusted R (2) = 0.18, p = 0.011) and follow-up (Adjusted R (2) = 0.12, p = 0.03), baseline scores on the SeMaS Depression scale (Adjusted R (2) = 0.19, p = 0.008), as well as follow-up scores on the SeMaS Anxiety (Adjusted R (2) = 0.19, p = 0.014) and SeMaS Depression (Adjusted R (2) = 0.14, p = 0.036) scales. Importantly, increased ACEs scores were predictive of increased anxiety at the one-year follow-up assessment, compared to baseline. CONCLUSIONS: Childhood adversity predicts health-related quality of life and emotional well-being at time of MS diagnosis and over the initial course of the disease. Measured using a brief screening inventory (ACEs), routine administration may be useful for identifying patients in need of increased supportive services.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。