Dietary Interventions with or without Omega-3 Supplementation for the Management of Rheumatoid Arthritis: A Systematic Review.
Tala RaadAnne Christina GriffinElena S GeorgeLouise LarkinAlexander FraserNorelee KennedyAudrey C TierneyPublished in: Nutrients (2021)
Rheumatoid Arthritis (RA) is a chronic autoimmune condition characterized by symptoms of inflammation and pain in the joints. RA is estimated to have a worldwide prevalence of 0.5-1%, with a predominance in females. Diet may play an important role in the symptoms of RA; however, little is known about the effects of various diets. The aim of this systematic review is to explore the effect of dietary interventions, with or without omega-3 supplementation for the management of RA. The electronic databases MEDLINE, EMBASE, CINAHL, and the Cochrane Library were systematically searched for clinical trials investigating dietary interventions, with or without omega-3 supplementation to retrieve papers from inception to April 2021. Randomized and non-randomized controlled trials of dietary interventions in adults with RA were eligible for inclusion. Twenty studies with a total of 1063 participants were included. The most frequently reported outcomes were pain, duration of morning stiffness, joint tenderness, grip strength and inflammatory markers. Dietary interventions with an anti-inflammatory basis may be an effective way for adults with RA seeking complementary treatments, potentially leading to improvements in certain parameters. However, there is a need for longer duration studies that are well-designed and sufficiently powered to investigate the influence of diet on RA.
Keyphrases
- rheumatoid arthritis
- disease activity
- physical activity
- ankylosing spondylitis
- systematic review
- interstitial lung disease
- clinical trial
- chronic pain
- systemic lupus erythematosus
- meta analyses
- randomized controlled trial
- weight loss
- pain management
- oxidative stress
- multiple sclerosis
- anti inflammatory
- risk factors
- open label
- neuropathic pain
- machine learning
- sleep quality
- case control
- artificial intelligence
- depressive symptoms
- glycemic control
- skeletal muscle
- systemic sclerosis
- deep learning
- study protocol
- insulin resistance