Pages tagged with "Predict"

92 pages, most important first (overviews, then meta-analyses, then RCTs, then newest). Combine with another topic

• 200 IU needed to increase vitamin D levels by 1 ng (not 100 IU) – summary of 25 studies
• Overview Vitamin D Dose-Response
• 1.77 nmol response to 100 IU of Vitamin D (46 RCTs) – meta-analysis
• Vitamin D RDA of 600 IU is not enough - global RCT meta-analysis
• Autistics have half of the response to Vitamin D – RCT
• Increasing the ratio of mono to poly fats increased Vitamin D levels by 6 ng – RCT
• Monthly vitamin D dosing had higher response than 3 per month – RCT
• Less response to 800 IU of Vitamin D by Africans than natives in Finland – RCT
• Estrogen contraception pill doubled the response to 1,000 IU of vitamin D – RCT
• Obese need more Vitamin D: Volume dilution, IU per pound, or BMI – RCT
• Obese need 2.5 IU of vitamin D per kg to increase 1 ng (about 3.4 X more) – RCT
• How to predict response to a vitamin D dose – RCT
• Reasons for low response to vitamin D
• Microplastics in Artery Plaque Predict a 4.5X Higher Risk of Heart Attack, Stroke, or Death
• Redhead – Red hair - vitamin D
• 50,000 IU Vitamin D weekly was the most popular for Breast Cancer
• 10 reasons for poor response to Vitamin D (race, binding protein, etc.)
• Vitamin D Nutrigenomics - High, Medium, and Low Responders
• Low Vitamin D during pregnancy identified with just 5 questions (for less than 12 ng)
• Quick, FREE, self-test for Vitamin D deficiency
• Predicted Vitamin D levels for health young women had 95% accuracy using neural network (paywall)
• Predict Vitamin D
• 4700 IU of vitamin D needed by most seniors – an equation
• Huge variation in response to vitamin D supplementation – personal vitamin D response index
• Predict 50nmol if take 600 IU of Vitamin D for 7 months (UK, ignoring BMI, etc)
• 96% prediction of Vitamin D less than 20ng (not general nor cost-effective)
• Vitamin D deficiency predicted with 91% accuracy ( AI, age, paywall)
• Predictors of low vitamin D: race, age, and BMI (confirmed now by Machine Learning)
• Vitamin D responses to as much as 15,000 IU per day
• Can predict 10% of Alzheimer’s – unable to count dominos dots (then treat early)
• Timeline of Heart Disease, Diabetes, fats, lard, HFCS, and vitamin D
• US truckers die 16 years sooner (UVA-low Vitamin D, obesity, little exercise)
• Children 41X more likely to be vitamin D deficient if both parents were deficient
• Molecular Approaches for Optimizing Vitamin D (one size does not fit all) – Carlberg
• UV and Vitamin D calculators
• Response to a large dose of vitamin D (80,000 IU) typically varied by 2 X
• Poor CYP2R1 gene reduces blood response to Vitamin D supplementation
• Poor absorption of Vitamin D is strongly related to type of gut bacteria
• Increased Vitamin D response if take cofactors, etc
• 2700 IU of vitamin D needed to get above 20 ng if dark-skinned and high latitude
• Vitamin D daily - Evolution: 4,000 IU, Government: 800 IU– Veith
• Prediction of low Vitamin D not helped by improperly used Machine Learning
• Excellent prediction of very low vitamin D in elderly from just 16 questions (analyzed by ML)
• Toward predicting vitamin D levels without a blood test.
• Is a senior Vitamin D insufficient - a 2 minute questionnaire is 85 percent accurate
• Estimate Vitamin D levels based on questionnaires (12 studies)
• Top 10 signs of Vitamin D Deficiency (9 minute Video)
• Responses by healthy individuals to 2,000 IU vitamin D daily
• Jordanian women vitamin D – 16 ng if Western clothing – 12 ng otherwise
• On-line Vitamin D response simulation
• Response to Vitamin D increased if take Magnesium and Vitamin K2 – Grassroots
• Poor response to vitamin D supplementation if poor level of B Vitamins (rats in this case)
• Poor responses to UV and Vitamin D were correlated to just 4 poor genes
• Predict 2X more likely to die of COVID-19 if vitamin D Deficient (Iran 2020)
• Vitamin D Status estimation of elderly by questionnaire
• How you might double your response to vitamin D
• Vitamin D levels should often be adjusted for season (Cosinor)
• Magnesium may not be as available if have low stomach acid (seniors)
• Vitamin D estimation nicely improved by neural networks
• Might be able to predict who will benefit from vitamin D by just 2 genes
• Some people need more vitamin D to get the same response – perhaps due to genes
• Gene differences can result in 14 ng difference in vitamin D levels
• D Minder: Vitamin D calculator for Smartphones and iPad
• AI: Exciting opportunity for Vitamin D Researchers
• Not all Vitamin D levels follow the season – Asthma, Rhinitis, …
• Model has 80 percent chance of predicting vitamin D levels to within 10 ng
• Multiple Sclerosis patients need more vitamin D to get same blood level response
• Why do gardeners live longer (vitamin D, etc.)
• Cardiovascular disease is treated by vitamin D, unsure if low Vit D can predict Cardio
• Activation (methylation) of CYP2R1 and CYP24A1 predict response to dose of vitamin D
• UVA decreased vitamin D levels (again)
• Vitamin D injection helped migrants a bit, but some had poor or even negative responses
• Oral contraceptive use associated with higher levels of vitamin D – thesis
• Simple Vitamin D deficiency scoring system
• Vitamin D more than 40 ng: 1300 IU 50% chance: 5,000 IU 80% chance
• People with gut problems are low on vitamin D
• Response to Vitamin D supplementation
• Global analysis of disability - most are associated with vitamin D deficiency - Lancet
• Obese need 2X as much vitamin D to get the same response
• Genes account for less than 18 percent of variation in vitamin D levels
• Higher air pollution associated with 7 ng lower vitamin D levels
• Response to high dose vitamin D is limited by vitamin A
• 30 percent of variation of vitamin D levels were associated with just 3 variables
• Magnesium Deficiency Reduces Vitamin D Effectiveness
• Unable to make a model to predict vitamin D deficiency
• Excessive clothes and being indoors results in very low vitamin D levels
• Urban residents have the most vitamin D, metro residents the least
• Metabolites and genes may predict responses to Calcium and Vitamin D
• Unspecified differences in vitamin D at age 10 failed to predict intelligence at age 15
• Unable to use vitamin D level to predict worsening of smoker’s lung function
• Vitamin D Levels at Birth May Predict Obesity Risk at age 3
• Vitamin D less than 15 ng did not predict additional cardiovascular disease events