This individual's Daily Step is generally highest after a daily total of 300 milligrams of CoQ10 By Doctors Best intake over the previous 7 days.
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Blue represents the sum of CoQ10 By Doctors Best intake over the previous 7 days
An increase in 7 days cumulative CoQ10 By Doctors Best intake is usually followed by an decrease in Daily Step. (R = -0.002)
Typical values for Daily Step following a given amount of CoQ10 By Doctors Best intake over the previous 7 days.
Typical CoQ10 By Doctors Best intake seen over the previous 7 days preceding the given Daily Step value.
Correlation between outcome and aggregated predictor measurements over given number of days
Peak correlation suggests the delay between predictor and observable outcome
This chart shows how CoQ10 By Doctors Best changes over time.
Each column represents the number of days this value occurred.
This chart shows the typical value recorded for CoQ10 By Doctors Best on each day of the week.
This chart shows the typical value recorded for CoQ10 By Doctors Best for each month of the year.
This chart shows how Steps changes over time.
Each column represents the number of days this value occurred.
This chart shows the typical value recorded for Steps on each day of the week.
This chart shows the typical value recorded for Steps for each month of the year.

Abstract

This individual's Daily Step is generally 0% higher than normal after a total of 300 milligrams CoQ10 By Doctors Best intake over the previous 7 days. This individual's data suggests with a high degree of confidence (p=0.39719127282757, 95% CI -418.33 to 418.326) that CoQ10 By Doctors Best has a very weakly negative predictive relationship (R=0) with Daily Step. The highest quartile of Daily Step Count measurements were observed following an average 365.81 milligrams CoQ10 By Doctors Best per day. The lowest quartile of Daily Step Count measurements were observed following an average 352.96167247387 mg CoQ10 By Doctors Best per day.Daily Step is generally 0% lower than normal after a total of 352.96167247387 milligrams of CoQ10 By Doctors Best intake over the previous 7 days. Daily Step is generally 0% higher after a total of 365.81 milligrams of CoQ10 By Doctors Best intake over the previous 7 days.

Objective

The objective of this study is to determine the nature of the relationship (if any) between CoQ10 By Doctors Best and Daily Step Count. Additionally, we attempt to determine the CoQ10 By Doctors Best values most likely to produce optimal Daily Step Count values.

Participant Instructions

Record your CoQ10 By Doctors Best daily in the reminder inbox or using the interactive web or mobile notifications.
Get Fitbit here and use it to record your Steps. Once you have a Fitbit account, you can import your data from the Import Data page. This individual's data will automatically be imported and analyzed.

Design

This study is based on data donated by one participant. Thus, the study design is consistent with an n=1 observational natural experiment.

Data Analysis

CoQ10 By Doctors Best Pre-Processing
CoQ10 By Doctors Best measurement values below 0 milligrams were assumed erroneous and removed. No maximum allowed measurement value was defined for CoQ10 By Doctors Best. It was assumed that any gaps in CoQ10 By Doctors Best data were unrecorded 0 milligrams measurement values.
CoQ10 By Doctors Best Analysis Settings

Steps Pre-Processing
Steps measurement values below 1000 count were assumed erroneous and removed. No maximum allowed measurement value was defined for Steps. No missing data filling value was defined for Steps so any gaps in data were just not analyzed instead of assuming zero values for those times.
Steps Analysis Settings

Predictive Analytics
It was assumed that 0.5 hours would pass before a change in CoQ10 By Doctors Best would produce an observable change in Daily Step Count. It was assumed that CoQ10 By Doctors Best could produce an observable change in Daily Step Count for as much as 7 days after the stimulus event.
Predictive Analysis Settings

Data Quantity
672 raw CoQ10 By Doctors Best measurements with 136 changes spanning 1443 days from 2015-07-18 to 2019-06-30 were used in this analysis. 2024 raw Daily Step Count measurements with 1988 changes spanning 2536 days from 2012-04-25 to 2019-04-05 were used in this analysis.

Data Sources

CoQ10 By Doctors Best data was primarily collected using QuantiModo. QuantiModo allows you to easily track mood, symptoms, or any outcome you want to optimize in a fraction of a second. You can also import your data from over 30 other apps and devices. QuantiModo then analyzes your data to identify which hidden factors are most likely to be influencing your mood or symptoms.

Daily Step Count data was primarily collected using Fitbit. Fitbit makes activity tracking easy and automatic.

Limitations

As with any human experiment, it was impossible to control for all potentially confounding variables. Correlation does not necessarily imply causation. We can never know for sure if one factor is definitely the cause of an outcome. However, lack of correlation definitely implies the lack of a causal relationship. Hence, we can with great confidence rule out non-existent relationships. For instance, if we discover no relationship between mood and an antidepressant this information is just as or even more valuable than the discovery that there is a relationship.
We can also take advantage of several characteristics of time series data from many subjects to infer the likelihood of a causal relationship if we do find a correlational relationship. The criteria for causation are a group of minimal conditions necessary to provide adequate evidence of a causal relationship between an incidence and a possible consequence.

The list of the criteria is as follows:
Strength (A.K.A. Effect Size)
A small association does not mean that there is not a causal effect, though the larger the association, the more likely that it is causal. There is a very weakly negative relationship between CoQ10 By Doctors Best intake and Daily Step

Consistency (A.K.A. Reproducibility)
Consistent findings observed by different persons in different places with different samples strengthens the likelihood of an effect. Furthermore, in accordance with the law of large numbers (LLN), the predictive power and accuracy of these results will continually grow over time. 1363 paired data points were used in this analysis. Assuming that the relationship is merely coincidental, as the participant independently modifies their CoQ10 By Doctors Best intake values, the observed strength of the relationship will decline until it is below the threshold of significance. To it another way, in the case that we do find a spurious correlation, suggesting that banana intake improves mood for instance, one will likely increase their banana intake. Due to the fact that this correlation is spurious, it is unlikely that you will see a continued and persistent corresponding increase in mood. So over time, the spurious correlation will naturally dissipate.

Specificity
Causation is likely if a very specific population at a specific site and disease with no other likely explanation. The more specific an association between a factor and an effect is, the bigger the probability of a causal relationship.

Temporality
The effect has to occur after the cause (and if there is an expected delay between the cause and expected effect, then the effect must occur after that delay). The confidence in a causal relationship is bolstered by the fact that time-precedence was taken into account in all calculations.

Biological Gradient
Greater exposure should generally lead to greater incidence of the effect. However, in some cases, the mere presence of the factor can trigger the effect. In other cases, an inverse proportion is observed: greater exposure leads to lower incidence.

Plausibility
A plausible bio-chemical mechanism between cause and effect is critical. This is where human brains excel. Based on our responses so far, 1 humans feel that there is a plausible mechanism of action and 0 feel that any relationship observed between CoQ10 By Doctors Best intake and Daily Step is coincidental.

Coherence
Coherence between epidemiological and laboratory findings increases the likelihood of an effect. It will be very enlightening to aggregate this data with the data from other participants with similar genetic, diseasomic, environmentomic, and demographic profiles.

Experiment
All of human life can be considered a natural experiment. Occasionally, it is possible to appeal to experimental evidence.

Analogy
The effect of similar factors may be considered.

Relationship Statistics

Property Value
Cause Variable Name CoQ10 By Doctors Best intake
Effect Variable Name Daily Step
Sinn Predictive Coefficient 0.001
Confidence Level high
Confidence Interval 418.32766488777
Forward Pearson Correlation Coefficient -0.002
Critical T Value 1.646
Total Co Q10 By Doctors Best intake Over Previous 7 days Before ABOVE Average Daily Step 365.81 milligrams
Total Co Q10 By Doctors Best intake Over Previous 7 days Before BELOW Average Daily Step 352.962 milligrams
Duration of Action 7 days
Effect Size very weakly negative
Number of Paired Measurements 1363
Optimal Pearson Product -7.912150007274E-5
P Value 0.39719127282757
Statistical Significance 0.9998
Strength of Relationship 418.32766488777
Study Type individual
Analysis Performed At 2019-06-20

CoQ10 By Doctors Best Statistics

Property Value
Variable Name CoQ10 By Doctors Best
Aggregation Method SUM
Analysis Performed At 2019-06-30
Duration of Action 7 days
Kurtosis 4.4216106272873
Mean 22.593 milligrams
Median 0 milligrams
Minimum Allowed Value 0 milligrams
Number of Changes 136
Number of Correlations 251
Number of Measurements 672
Onset Delay 30 minutes
Standard Deviation 43.457396760059
Unit Milligrams
UPC 753950003323
Variable ID 5627141
Variance 1888.5453331612

Steps Statistics

Property Value
Variable Name Daily Step Count
Aggregation Method MEAN
Analysis Performed At 2019-06-22
Duration of Action 7 days
Kurtosis 3.3741547857797
Mean 8633.4 count
Median 8432 count
Minimum Allowed Value 1000 count
Number of Changes 1988
Number of Correlations 1847
Number of Measurements 2024
Onset Delay 0 seconds
Standard Deviation 4576.9125586684
Unit Count
UPC 734010049130
Variable ID 1451
Variance 20948128.569696

Tracking CoQ10 By Doctors Best

Record your CoQ10 By Doctors Best daily in the reminder inbox or using the interactive web or mobile notifications.

Tracking Steps

Get Fitbit here and use it to record your Steps. Once you have a Fitbit account, you can import your data from the Import Data page. This individual's data will automatically be imported and analyzed.
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https://lh6.googleusercontent.com/-BHr4hyUWqZU/AAAAAAAAAAI/AAAAAAAIG28/2Lv0en738II/photo.jpg Principal Investigator - Mike Sinn