Causes of Osteoporosis
User reported causes of Osteoporosis based on their intuition.
Cause | Agree |
---|---|
Ankylosing Spondylitis - Comorbidity | 100% |
MEN1 | 75% |
Sedentary Lifestyle | 57% |
Steroids | 50% |
Vitamin D Insufficiency | 47% |
Estrogen Drop at Menopause | 43% |
Low Calcium Intake | 38% |
Eating Disorders | 29% |
Smoking | 21% |
Alcohol | 14% |
Hypogonadism | 7% |
Conditions Resulting from Osteoporosis
User-reported conditions resulting from Osteoporosis based on their intuition.
Resulting Condition | Agree |
---|---|
Lower Back Pain | 7% |
Back Pain | 6% |
Treatments
User-reported effectiveness in treating Osteoporosis
Treatment | Major Improvement | Moderate Improvement | Much Worse | No Effect | Worse | Responses |
---|---|---|---|---|---|---|
Physical Therapy | 0% | 0% | 0% | 75% | 25% | 4 |
Vitamin D | 0% | 67% | 0% | 33% | 0% | 3 |
Healthy Diet | 17% | 33% | 0% | 50% | 0% | 6 |
Testosterone Replacement Therapy | 0% | 100% | 0% | 0% | 0% | 1 |
Be Safe to Prevent Falls | 11% | 33% | 0% | 56% | 0% | 9 |
Lifting Weights | 25% | 0% | 0% | 75% | 0% | 4 |
Calcium | 0% | 30% | 0% | 70% | 0% | 10 |
Maintain Good Posture | 0% | 25% | 0% | 63% | 13% | 8 |
Vitamin K2 | 0% | 0% | 0% | 100% | 0% | 1 |
Silica Gel | 0% | 0% | 0% | 100% | 0% | 1 |
Bisphosphonates | 0% | 0% | 0% | 50% | 50% | 2 |
Outcomes
Below is the degree of change seen after Osteoporosis is higher than average.

Predictors
Below is the change in Osteoporosis seen after the predictor is higher than average.

Outcomes Label
Outcomes
of
Below is the change in the listed outcome after
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
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
Osteoporosis Info
Property | Value |
---|---|
Variable Name | Osteoporosis |
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 | 0 |
Variable Category | Symptoms |
Variable ID | 86886 |