Guo Jie, Olsson Tomas, Hillert Jan, Alfredsson Lars, Hedström Anna Karin
Department of Nutrition and Health, China Agricultural University, Beijing, China.
Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.
JAMA Netw Open. 2025 Jul 1;8(7):e2520142. doi: 10.1001/jamanetworkopen.2025.20142.
The implications of socioeconomic factors, including educational level, for multiple sclerosis (MS) progression remain unclear. Understanding whether educational level directly affects MS outcomes or is confounded by lifestyle risk factors and treatment choices could inform personalized care strategies.
To investigate the association between educational level and outcomes related to MS, including worsening of disability, cognition, and health-related quality of life, after adjusting for potential confounding factors or mediation by lifestyle factors and treatment.
DESIGN, SETTING, AND PARTICIPANTS: This cohort study used data from 2 large, population-based case-control studies conducted in Sweden from April 2005 to December 2019 that used Swedish MS Registry data with detailed clinical and sociodemographic information. Patients with relapsing-onset MS aged 25 years or older at disease onset after 1995 were followed up from diagnosis until April 6, 2022, with a mean (SD) follow-up time of 10.4 (5.4) years. Data analysis was performed from July 2024 to November 2024.
Educational level categorized as presecondary (9 to 10 years of compulsory school), secondary (2 to 4 years of high school or college), and postsecondary (higher university education) July 2024 to November 2024.
The primary outcome was confirmed disability worsening defined as a 1-point increase in Expanded Disability Status Scale (EDSS) score sustained across 2 follow-up visits at least 24 weeks apart. Secondary outcomes were worsening of health-related quality of life, measured by the MS Impact Scale (MSIS-29) physical and psychological subscale scores, and cognitive disability worsening, measured by a decrease in Symbol Digit Modalities Test (SDMT) score. Cox proportional hazards regression was used to evaluate associations between educational level and disability progression.
Of 3695 participants with MS, 2656 (71.9%) were female, with a mean (SD) age at diagnosis of 39.1 (9.1) years. Lower educational level was associated with older age at disease onset (mean [SD] age at onset: 42.2 [10.2] years for presecondary educational level vs 36.0 [8.4] years for postsecondary educational level), worse baseline clinical status (mean [SD] EDSS 2.7 [2.0] for presecondary education vs 1.7 [1.5] for postsecondary education), and lower likelihood of receiving second-line therapies (mean [SD] 164 [36.9%] for presecondary education vs 869 [54.1] for postsecondary education). In unadjusted analyses, lower educational level was associated with faster disability progression (ie, worsening), but this association was no longer significant after adjusting for treatment and lifestyle factors (adjusted hazard ratio [AHR], 1.14; 95% CI, 0.97-1.33). No associations were found between educational level and changes in MSIS-29 scores (AHR, 1.14 [95% CI, 0.90-1.44] for the MSIS-29 physical subscale and AHR, 1.00 [95% CI, 0.79-1.26] for the MSIS-29 psychological subscale) or SDMT performance over the 15-year follow-up (AHR, 1.05; 95% CI, 0.76-1.46). Mediation analysis revealed that treatment and lifestyle factors accounted for 79.9% of the observed association between education level and disability progression.
In this cohort study of participants with MS, observed differences in disability worsening by educational level were largely accounted for by lifestyle and treatment factors, suggesting that educational level itself may not be independently associated with MS progression.
社会经济因素,包括教育水平,对多发性硬化症(MS)进展的影响尚不清楚。了解教育水平是直接影响MS结局,还是被生活方式风险因素和治疗选择所混淆,可为个性化护理策略提供依据。
在调整潜在混杂因素或生活方式因素及治疗的中介作用后,研究教育水平与MS相关结局之间的关联,这些结局包括残疾恶化、认知以及健康相关生活质量。
设计、背景和参与者:这项队列研究使用了2005年4月至2019年12月在瑞典进行的2项大型基于人群的病例对照研究的数据,这些数据来自瑞典MS登记处,包含详细的临床和社会人口学信息。对1995年后发病时年龄在25岁及以上的复发型MS患者从诊断开始进行随访,直至2022年4月6日,平均(标准差)随访时间为10.4(5.4)年。数据分析于2024年7月至2024年11月进行。
教育水平分为小学前(9至10年义务教育)、中学(2至4年高中或大学)和高等教育(高等大学教育)。
主要结局是确诊的残疾恶化,定义为扩展残疾状态量表(EDSS)评分增加1分,且在至少相隔24周的2次随访中持续存在。次要结局是健康相关生活质量恶化,通过MS影响量表(MSIS-29)身体和心理子量表评分来衡量,以及认知残疾恶化,通过符号数字模态测试(SDMT)评分降低来衡量。采用Cox比例风险回归评估教育水平与残疾进展之间的关联。
在3695名MS参与者中,2656名(71.9%)为女性,诊断时的平均(标准差)年龄为39.1(9.1)岁。较低的教育水平与发病时年龄较大相关(小学前教育水平发病时的平均[标准差]年龄:42.2[10.2]岁,高等教育水平为36.0[8.4]岁),基线临床状态较差(小学前教育的平均[标准差]EDSS为2.7[2.0],高等教育为1.7[1.5]),接受二线治疗的可能性较低(小学前教育的平均[标准差]为164[36.9%],高等教育为869[54.1%])。在未调整的分析中,较低教育水平与更快的残疾进展(即恶化)相关,但在调整治疗和生活方式因素后,这种关联不再显著(调整后的风险比[AHR],1.14;95%置信区间,0.97 - 1.33)。在15年的随访中,未发现教育水平与MSIS-29评分变化(MSIS-29身体子量表的AHR,1.14[95%置信区间,0.90 - 1.44];MSIS-29心理子量表的AHR,1.00[95%置信区间,0.79 - 1.26])或SDMT表现之间存在关联(AHR,1.05;95%置信区间,0.76 - 1.46)。中介分析显示,治疗和生活方式因素占教育水平与残疾进展之间观察到的关联的79.9%。
在这项针对MS参与者的队列研究中,观察到的教育水平在残疾恶化方面的差异在很大程度上由生活方式和治疗因素所解释,这表明教育水平本身可能与MS进展没有独立关联。