Waist Circumference and Body Mass Index as Predictors of Disability Progression in Multiple Sclerosis: A Systematic Review and Meta-Analysis.
Vasileios GiannopapasMaria-Ioanna StefanouVassiliki SmyrniDimitrios K KitsosMaria KosmidouSophia StasiAthanasios K ChasiotisKonstantina StavrogianniGeorgia PapagiannopoulouJohn S TzartosGeorgios P ParaskevasGeorgios K TsivgoulisSotirios GiannopoulosPublished in: Journal of clinical medicine (2024)
Background: While obesity has been shown to elevate the risk of developing multiple sclerosis (MS), there is a lack of strong evidence regarding its role in the disability progression and status of MS patients. Methods: This systematic review and meta-analysis aimed to provide comparative estimates of WC and BMI in patients with MS (PwMS) and to investigate potential associations between the waist circumference (WC) and body mass index (BMI) and demographic and specific MS characteristics. Adhering to PRISMA guidelines, a detailed search of the MEDLINE PubMed, Cochrane Library, and Scopus databases was conducted. Results: A total of 16 studies were included. The pooled mean WC and BMI among PwMS was estimated to be 87.27 cm (95%CI [84.07; 90.47]) and 25.73 (95%CI [25.15; 26.31]), respectively. Meta-regression models established a significant bidirectional relationship between WC and the Expanded Disability Scale (EDSS) ( p < 0.001) but not between BMI and EDSS ( p = 0.45). Sensitivity analyses showed no association between WC and age ( p = 0.48) and a tendency between WC and disease duration ( p = 0.08). Conclusions: Although WC measurements classify PwMS as normal weight, BMI measurements classify them as overweight. Therefore, WC should complement BMI evaluations in clinical practice. Additionally, our findings highlight the significant association between abdominal fat, as indicated by WC, and disease progression. Considering the heightened risk of cardiovascular comorbidity and mortality among PwMS, we recommend integrating both WC and BMI as standard anthropometric measurements in routine clinical examinations and targeted prevention strategies for PwMS.
Keyphrases
- body mass index
- multiple sclerosis
- weight gain
- clinical practice
- physical activity
- mass spectrometry
- white matter
- ms ms
- weight loss
- insulin resistance
- systematic review
- end stage renal disease
- body composition
- adipose tissue
- metabolic syndrome
- skeletal muscle
- cardiovascular events
- coronary artery disease
- climate change
- deep learning
- randomized controlled trial
- big data
- chronic kidney disease
- fatty acid
- cancer therapy
- artificial intelligence