Adverse childhood experiences predict reaction to multiple sclerosis diagnosis

Author:

Eilam-Stock Tehila1,Links Jon1,Khan Nabil Z.2,Bacon Tamar E.1,Zuniga Guadalupe1,Laing Lisa1,Sammarco Carrie1,Sherman Kathleen1,Charvet Leigh1ORCID

Affiliation:

1. NYU Grossman School of Medicine, New York, NY, USA

2. SUNY Downstate School of Medicine, New York, NY, USA

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.

Funder

Lourie Foundation

Publisher

SAGE Publications

Subject

Psychiatry and Mental health,Clinical Psychology

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