Analysis of Effectiveness of a Supplement Combining Harpagophytum procumbens, Zingiber officinale and Bixa orellana in Healthy Recreational Runners with Self-Reported Knee Pain: A Pilot, Randomized, Triple-Blind, Placebo-Controlled Trial.
Maria Del Mar BibiloniCarlos Quesada-GonzalezJavier RuedaManuel Sillero QuintanaNicolas IssalyAngel Enrique DíazEva GesteiroDavid Escobar-ToledoRafael Torres-PeraltaMarc RollerAmelia Guadalupe-GrauPublished in: International journal of environmental research and public health (2021)
Recreational running (RR) is becoming a popular way to increase physical activity for improving health, together with a higher incidence of knee injuries. The aim was to analyze the effect of a four-week supplementation with a mixture of Harpagophytum procumbens, Zingiber officinale and Bixa orellana on males, middle-aged, RR with an undiagnosed knee discomfort. A randomized triple-blind placebo-control trial was conducted among male RR aged 40-60 years suffering from self-declared knee discomfort after training. Participants were assigned to supplementation (2 g/day in 6 doses; n = 13; intervention group (IG)) or matched placebo (n = 15; control group (CG)) for 4 weeks. At pre- and post-intervention, assessment of routine blood biomarkers, body composition, running biomechanics and body temperature was performed using standardized procedures. Machine learning (ML) techniques were used to classify whether subjects belonged to IG or CG. ML model was able to correctly classify individuals as IG or CG with a median accuracy of 0.857. Leg fat mass decreased significantly (p = 0.037) and a deeper reduction in knee thermograms was observed in IG (p < 0.05). Safety evaluation revealed no significant differences in the rest of parameters studied. Subjects belonging to IG or CG are clearly differentiated, pointing into an effect of the supplement of ameliorating inflammation.
Keyphrases
- total knee arthroplasty
- body composition
- knee osteoarthritis
- randomized controlled trial
- anterior cruciate ligament
- anterior cruciate ligament reconstruction
- machine learning
- physical activity
- middle aged
- double blind
- public health
- healthcare
- systematic review
- chronic pain
- mental health
- resistance training
- adipose tissue
- oxidative stress
- body mass index
- clinical trial
- single cell
- pain management
- deep learning
- spinal cord
- climate change
- big data
- open label
- depressive symptoms
- spinal cord injury
- gestational age