Causes of Premenstrual Syndrome (PMS)
User reported causes of Premenstrual Syndrome (PMS) based on their intuition.
Cause | Agree |
---|---|
Hormone Imbalance | 70% |
Stress | 64% |
History of Depression | 49% |
Family History | 43% |
Lack of Exercises | 43% |
Poor Diet | 35% |
Caffeine | 29% |
Gluten Intolerance | 18% |
B6 Deficiency | 16% |
Adrenal Insufficiency | 15% |
Tobacco | 5% |
Treatments
User-reported effectiveness in treating Premenstrual Syndrome (PMS)
Treatment | Major Improvement | Moderate Improvement | Much Worse | No Effect | Worse | Responses |
---|---|---|---|---|---|---|
Codeine | 0% | 100% | 0% | 0% | 0% | 1 |
Ibuprofen | 17% | 52% | 4% | 24% | 2% | 92 |
Exercise | 9% | 45% | 6% | 33% | 8% | 89 |
Naproxen (Aleve) | 31% | 31% | 8% | 23% | 8% | 13 |
Tai Chi | 0% | 17% | 0% | 50% | 33% | 6 |
Low Dose Naltrexone (LDN) | 0% | 25% | 0% | 75% | 0% | 4 |
Heat | 12% | 65% | 0% | 20% | 2% | 49 |
Tylenol | 5% | 34% | 0% | 57% | 5% | 44 |
Magnesium | 13% | 18% | 0% | 63% | 8% | 40 |
Meditation | 3% | 44% | 0% | 50% | 3% | 34 |
Fish Oil | 6% | 12% | 2% | 78% | 2% | 50 |
Vitamin B6 | 10% | 13% | 0% | 75% | 3% | 40 |
Vitamin E | 0% | 11% | 4% | 78% | 7% | 27 |
Evening Primrose Oil | 10% | 5% | 10% | 76% | 0% | 21 |
Adequate Sleep | 10% | 35% | 0% | 51% | 4% | 80 |
Cannabis | 13% | 53% | 7% | 20% | 7% | 15 |
Zinc | 6% | 6% | 0% | 82% | 6% | 17 |
Prayer | 8% | 31% | 15% | 38% | 8% | 13 |
Balancing Hormones | 35% | 50% | 0% | 15% | 0% | 20 |
Midol | 13% | 55% | 3% | 28% | 3% | 40 |
Massage (Breasts, Abdomen) | 7% | 57% | 0% | 29% | 7% | 28 |
Bio-Identical Progesterone | 100% | 0% | 0% | 0% | 0% | 1 |
Decreased Caffeine | 19% | 21% | 0% | 55% | 4% | 47 |
Reduce Sugar Intake | 6% | 47% | 3% | 44% | 0% | 36 |
DIM | 50% | 0% | 0% | 50% | 0% | 2 |
Dark Chocolate | 7% | 34% | 0% | 59% | 0% | 41 |
Sertraline | 0% | 60% | 0% | 40% | 0% | 5 |
Fluoxetine | 21% | 26% | 11% | 42% | 0% | 19 |
Clary Sage Essential Oil (Therapeutic Quality) | 0% | 50% | 0% | 50% | 0% | 4 |
Crill Oil | 0% | 50% | 0% | 50% | 0% | 2 |
Reduce Sodium Intake | 8% | 40% | 4% | 36% | 12% | 25 |
Counseling | 8% | 27% | 4% | 58% | 4% | 26 |
Vitex (Chaste Tree Berry) | 13% | 25% | 13% | 50% | 0% | 8 |
5-Hydroxytryptophan (5HTP) | 0% | 22% | 0% | 78% | 0% | 9 |
Desvenlafaxine | 33% | 0% | 33% | 33% | 0% | 3 |
Tryptophan | 14% | 0% | 14% | 71% | 0% | 7 |
Manganese | 0% | 0% | 0% | 100% | 0% | 13 |
Paroxetine | 0% | 0% | 17% | 83% | 0% | 6 |
Wellbutrin | 0% | 24% | 12% | 59% | 6% | 17 |
Calcium Supplements | 5% | 8% | 5% | 76% | 5% | 38 |
Contraceptive | 10% | 35% | 22% | 25% | 8% | 79 |
Increased Fiber | 0% | 18% | 8% | 63% | 11% | 38 |
Predictors
Below is the change in Premenstrual Syndrome (PMS) seen after the predictor is higher than average.

Don't see what you're looking for?
Create a study and help us eradicate suffering!
Predictors Label
Predictors
of
Below is the change in after the listed predictor is higher than average.
(Math.abs(a['change']) < Math.abs(b['change'])) ? 1 : -1)" title="Click to put the results with the largest observed change at the top">
Sort by Effect Size
(a['number_of_days'] < b['number_of_days']) ? 1 : -1)" title="Click to put the results with the most supporting data points at the top.">
Sort by Confidence
Premenstrual Syndrome (PMS) Info
Property | Value |
---|---|
Variable Name | Premenstrual Syndrome (PMS) |
Aggregation Method | MEAN |
Analysis Performed At | 2020-03-02 |
Duration of Action | 24 hours |
Maximum Allowed Value | 5 out of 5 |
Minimum Allowed Value | 1 out of 5 |
Number of Aggregate Predictors | 0 |
Number of Aggregate Outcomes | 0 |
Number of Measurements | 0 |
Number of Measurements (including those generated by tagged, joined, or child variables) | 0 |
Public | true |
Onset Delay | 0 seconds |
Unit | 1 to 5 Rating |
User Variables | 1 |
Variable Category | Symptoms |
Variable ID | 86895 |