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Based on data from 2 participants, Sleep Duration 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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People with higher CoQ10 By Doctors Best intake usually have higher Sleep Duration
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.
Each column represents the number of days this value occurred.
This chart shows the typical value recorded for Sleep Duration on each day of the week.
This chart shows the typical value recorded for Sleep Duration for each month of the year.

Abstract

Aggregated data from 2 study participants suggests with a high degree of confidence (p=0.17396472415986, 95% CI -0.168 to 0.062) that CoQ10 By Doctors Best has a very weakly negative predictive relationship (R=-0.05) with Sleep Duration. The highest quartile of Sleep Duration measurements were observed following an average 225.84 milligrams CoQ10 By Doctors Best per day. The lowest quartile of Sleep Duration measurements were observed following an average 184.65517241379 mg CoQ10 By Doctors Best per day.

Objective

The objective of this study is to determine the nature of the relationship (if any) between CoQ10 By Doctors Best and Sleep Duration. Additionally, we attempt to determine the CoQ10 By Doctors Best values most likely to produce optimal Sleep Duration 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 Sleep Duration. 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 2 participants. Thus, the study design is equivalent to the aggregation of 2 separate n=1 observational natural experiments.

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

Sleep Duration Pre-Processing
Sleep Duration measurement values below 0 seconds were assumed erroneous and removed. Sleep Duration measurement values above 7 days were assumed erroneous and removed. It was assumed that any gaps in Sleep Duration data were unrecorded 0 seconds measurement values.
Sleep Duration 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 Sleep Duration. It was assumed that CoQ10 By Doctors Best could produce an observable change in Sleep Duration for as much as 7 days after the stimulus event.
Predictive Analysis Settings

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.

Sleep Duration 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 Sleep Duration

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. 894 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 Sleep Duration 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 Sleep Duration
Sinn Predictive Coefficient 0.0027331961996274
Confidence Level high
Confidence Interval 0.11470617800499
Forward Pearson Correlation Coefficient -0.0532
Critical T Value 1.646
Total Co Q10 By Doctors Best intake Over Previous 7 days Before ABOVE Average Sleep Duration 225.84 milligrams
Total Co Q10 By Doctors Best intake Over Previous 7 days Before BELOW Average Sleep Duration 184.65517241379 milligrams
Duration of Action 7 days
Effect Size very weakly negative
Number of Paired Measurements 894
Optimal Pearson Product -0.07039467726923
P Value 0.17396472415986
Statistical Significance 0.87655001878738
Strength of Relationship 0.11470617800499
Study Type population
Analysis Performed At 2019-04-06
Number of Participants 2

CoQ10 By Doctors Best Statistics

Property Value
Variable Name CoQ10 By Doctors Best
Aggregation Method SUM
Analysis Performed At 2018-12-22
Duration of Action 7 days
Kurtosis 39.922302815044
Mean 11.511326666667 milligrams
Median 0 milligrams
Minimum Allowed Value 0 milligrams
Number of Correlations 65
Number of Measurements 954
Onset Delay 30 minutes
Standard Deviation 28.236515863566
Unit Milligrams
UPC 753950003323
Variable ID 5627141
Variance 993.66573881044

Sleep Duration Statistics

Property Value
Variable Name Sleep Duration
Aggregation Method MEAN
Analysis Performed At 2019-01-30
Duration of Action 7 days
Kurtosis 26.117213119491
Maximum Allowed Value 7 days
Mean 5 hours
Median 5 hours
Minimum Allowed Value 0 seconds
Number of Correlations 2022
Number of Measurements 40974
Onset Delay 0 seconds
Standard Deviation 4.2072240524865
Unit Hours
UPC 067981966602
Variable ID 1867
Variance 294.95711944016

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 Sleep Duration

Get Fitbit here and use it to record your Sleep Duration. 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