This individual's Duration Of Awakenings During Sleep is generally highest after a daily total of 0 serving of Extra Virgin Olive Oil consumption over the previous 7 days.
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Blue represents the sum of Extra Virgin Olive Oil consumption over the previous 7 days
An increase in 7 days cumulative Extra Virgin Olive Oil consumption is usually followed by an decrease in Duration Of Awakenings During Sleep. (R = -0.458)
Typical values for Duration Of Awakenings During Sleep following a given amount of Extra Virgin Olive Oil consumption over the previous 7 days.
Typical Extra Virgin Olive Oil consumption seen over the previous 7 days preceding the given Duration Of Awakenings During Sleep 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 Extra Virgin Olive Oil changes over time.
Each column represents the number of days this value occurred.
This chart shows the typical value recorded for Extra Virgin Olive Oil on each day of the week.
This chart shows the typical value recorded for Extra Virgin Olive Oil for each month of the year.
This chart shows how Duration of Awakenings During Sleep changes over time.
Each column represents the number of days this value occurred.
This chart shows the typical value recorded for Duration of Awakenings During Sleep on each day of the week.
This chart shows the typical value recorded for Duration of Awakenings During Sleep for each month of the year.

Abstract

This individual's Duration Of Awakenings During Sleep is generally 6.27% higher than normal after a total of 0 serving Extra Virgin Olive Oil consumption over the previous 7 days. This individual's data suggests with a high degree of confidence (p=1.4736255380385E-6, 95% CI -8.385 to 7.469) that Extra Virgin Olive Oil has a moderately negative predictive relationship (R=-0.46) with Duration Of Awakenings During Sleep. The highest quartile of Duration Of Awakenings During Sleep measurements were observed following an average 0.85 serving Extra Virgin Olive Oil per day. The lowest quartile of Duration Of Awakenings During Sleep measurements were observed following an average 3.4141414141414 serving Extra Virgin Olive Oil per day. Duration Of Awakenings During Sleep is generally 33.16% lower than normal after a total of 3.4141414141414 serving of Extra Virgin Olive Oil consumption over the previous 7 days. Duration Of Awakenings During Sleep is generally 6.27% higher after a total of 0.85 serving of Extra Virgin Olive Oil consumption over the previous 7 days.

Objective

The objective of this study is to determine the nature of the relationship (if any) between Extra Virgin Olive Oil and Duration of Awakenings During Sleep. Additionally, we attempt to determine the Extra Virgin Olive Oil values most likely to produce optimal Duration of Awakenings During Sleep values.

Participant Instructions

Get MyFitnessPal here and use it to record your Extra Virgin Olive Oil. Once you have a MyFitnessPal account, you can import your data from the Import Data page. This individual's data will automatically be imported and analyzed.
Get Fitbit here and use it to record your Duration of Awakenings During Sleep. 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

Extra Virgin Olive Oil Pre-Processing
Extra Virgin Olive Oil measurement values below 0 serving were assumed erroneous and removed. Extra Virgin Olive Oil measurement values above 30 serving were assumed erroneous and removed. It was assumed that any gaps in Extra Virgin Olive Oil data were unrecorded 0 serving measurement values.
Extra Virgin Olive Oil Analysis Settings

Duration of Awakenings During Sleep Pre-Processing
Duration of Awakenings During Sleep measurement values below 0 seconds were assumed erroneous and removed. Duration of Awakenings During Sleep measurement values above 7 days were assumed erroneous and removed. It was assumed that any gaps in Duration of Awakenings During Sleep data were unrecorded 0 seconds measurement values.
Duration of Awakenings During Sleep Analysis Settings

Predictive Analytics
It was assumed that 0.5 hours would pass before a change in Extra Virgin Olive Oil would produce an observable change in Duration Of Awakenings During Sleep. It was assumed that Extra Virgin Olive Oil could produce an observable change in Duration Of Awakenings During Sleep for as much as 7 days after the stimulus event.
Predictive Analysis Settings

Data Quantity
1642 raw Extra Virgin Olive Oil measurements with 493 changes spanning 1943 days from 2014-03-14 to 2019-07-09 were used in this analysis. 399 raw Duration of Awakenings During Sleep measurements with 304 changes spanning 428 days from 2018-05-06 to 2019-07-08 were used in this analysis.

Data Sources

Extra Virgin Olive Oil data was primarily collected using MyFitnessPal. Lose weight with MyFitnessPal, the fastest and easiest-to-use calorie counter for iPhone and iPad. With the largest food database of any iOS calorie counter (over 3,000,000 foods), and amazingly fast food and exercise entry.

Duration Of Awakenings During Sleep 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 moderately negative relationship between Extra Virgin Olive Oil consumption and Duration Of Awakenings During Sleep

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. 459 paired data points were used in this analysis. Assuming that the relationship is merely coincidental, as the participant independently modifies their Extra Virgin Olive Oil consumption 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 Extra Virgin Olive Oil consumption and Duration Of Awakenings During Sleep 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 Extra Virgin Olive Oil consumption
Effect Variable Name Duration Of Awakenings During Sleep
Sinn Predictive Coefficient 0.3743
Confidence Level high
Confidence Interval 7.9265252529798
Forward Pearson Predictive Coefficient -0.458
Critical T Value 1.646
Total Extra Virgin Olive Oil consumption Over Previous 7 days Before ABOVE Average Duration Of Awakenings During Sleep 0.85 serving
Total Extra Virgin Olive Oil consumption Over Previous 7 days Before BELOW Average Duration Of Awakenings During Sleep 3.414 serving
Duration of Action 7 days
Effect Size moderately negative
Number of Paired Measurements 459
Optimal Pearson Product 0.22241509930833
P Value 1.4736255380385E-6
Statistical Significance 0.81731473064177
Strength of Relationship 7.9265252529798
Study Type individual
Analysis Performed At 2019-07-09

Extra Virgin Olive Oil Statistics

Property Value
Variable Name Extra Virgin Olive Oil
Aggregation Method SUM
Analysis Performed At 2019-07-09
Duration of Action 7 days
Kurtosis 2.257613429135
Maximum Allowed Value 30 serving
Mean 1.6026 serving
Median 0 serving
Minimum Allowed Value 0 serving
Number of Changes 493
Number of Correlations 164
Number of Measurements 1642
Onset Delay 30 minutes
Standard Deviation 2.2413306382392
Unit Serving
Variable ID 54085
Variance 5.0235630299098

Duration of Awakenings During Sleep Statistics

Property Value
Variable Name Duration of Awakenings During Sleep
Aggregation Method SUM
Analysis Performed At 2019-07-08
Duration of Action 24 hours
Kurtosis 4.2630366627663
Maximum Allowed Value 7 days
Mean 65 minutes
Median 65 minutes
Minimum Allowed Value 0 seconds
Number of Changes 304
Number of Measurements 399
Onset Delay 0 seconds
Standard Deviation 24.522400319202
Unit Minutes
Variable ID 6054544
Variance 601.34811741521

Tracking Extra Virgin Olive Oil

Get MyFitnessPal here and use it to record your Extra Virgin Olive Oil. Once you have a MyFitnessPal account, you can import your data from the Import Data page. This individual's data will automatically be imported and analyzed.

Tracking Duration of Awakenings During Sleep

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