Your Overall Mood is generally highest after a total of 1 serving of Vegetable Skillet consumption over the previous 7 days.
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Blue represents the sum of Vegetable Skillet consumption over the previous 7 days
An increase in 7 days cumulative Vegetable Skillet consumption is usually followed by an increase in Overall Mood. (R = 0.39)
Typical values for Overall Mood following a given amount of Vegetable Skillet consumption over the previous 7 days.
Typical Vegetable Skillet consumption seen over the previous 7 days preceding the given Overall Mood value.
This chart shows how your Vegetable Skillet changes over time.
Each column represents the number of days this value occurred.
This chart shows the typical value recorded for Vegetable Skillet on each day of the week.
This chart shows the typical value recorded for Vegetable Skillet for each month of the year.
This chart shows how your Overall Mood changes over time.
Each column represents the number of days this value occurred.
This chart shows the typical value recorded for Overall Mood on each day of the week.
This chart shows the typical value recorded for Overall Mood for each month of the year.

Abstract

You recorded 0 serving Vegetable Skillet 5 years ago. Your Overall Mood is generally generally 14% higher than normal after a total of1 serving Vegetable Skillet over the previous 7 days. Your data suggests with a high degree of confidence (1939 overlapping data points) that Vegetable Skillet has a moderately positive predictive relationship (R=0.39) with Overall Mood. The highest quartile of Overall Mood measurements were observed following an average 0.6 serving Vegetable Skillet per day. The lowest quartile of Overall Mood measurements were observed following an average 0.092307692307692 serving Vegetable Skillet per day.Overall Mood is generally generally 5% lower than normal after a total of 0.092307692307692 serving of Vegetable Skillet consumption over the previous 7 days. Overall Mood is generally 14% higher after a total of 0.6 serving of Vegetable Skillet consumption over the previous 7 days.

Objective

The objective of this study is to determine the nature of the relationship (if any) between Vegetable Skillet and Overall Mood. Additionally, we attempt to determine the Vegetable Skillet values most likely to produce optimal Overall Mood values.

Participant Instructions

Get MyFitnessPal here and use it to record your Vegetable Skillet. Once you have a MyFitnessPal account, you can import your data from the Import Data page. Your data will automatically be imported and analyzed.
Record your Overall Mood daily in the reminder inbox or using the interactive web or mobile notifications.

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

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

Overall Mood Pre-Processing
Overall Mood measurement values below 1 out of 5 were assumed erroneous and removed. Overall Mood measurement values above 5 out of 5 were assumed erroneous and removed. No missing data filling value was defined for Overall Mood so any gaps in data were just not analyzed instead of assuming zero values for those times.
Overall Mood Analysis Settings

Predictive Analytics
It was assumed that 0.5 hours would pass before a change in Vegetable Skillet would produce an observable change in Overall Mood. It was assumed that Vegetable Skillet could produce an observable change in Overall Mood for as much as 7 days after the stimulus event.
Predictive Analysis Settings

Data Quantity
108 raw Vegetable Skillet measurements with 106 changes spanning 313 days from 2013-01-23 to 2013-12-01 were used in this analysis. 13251 raw Overall Mood measurements with 1161 changes spanning 2458 days from 2012-05-06 to 2019-01-28 were used in this analysis.

Data Sources

Vegetable Skillet 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.

Overall Mood 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.

Limitations

As with any human experiment, it was impossible to control for all potentially confounding variables. Correlation does not necessarily imply correlation. 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 positive relationship between Vegetable Skillet consumption and Overall Mood

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. 1939 paired data points were used in this analysis. Assuming that the relationship is merely coincidental, as the participant independently modifies their Vegetable Skillet 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, 15 humans feel that there is a plausible mechanism of action and 10 feel that any relationship observed between Vegetable Skillet consumption and Overall Mood 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 Vegetable Skillet consumption
Effect Variable Name Overall Mood
Sinn Predictive Coefficient 0.378
Confidence Level medium
Confidence Interval 0.1360088222159
Forward Pearson Correlation Coefficient 0.39
Critical T Value 1.646
Total Vegetable Skillet consumption Over Previous 7 days Before ABOVE Average Overall Mood 0.6 serving
Total Vegetable Skillet consumption Over Previous 7 days Before BELOW Average Overall Mood 0.092 serving
Duration of Action 7 days
Effect Size moderately positive
Number of Paired Measurements 260
Optimal Pearson Product 0.30416441926886
Statistical Significance 0.9687
Strength of Relationship 0.1360088222159
Study Type individual
Analysis Performed At 2019-01-28

Vegetable Skillet Statistics

Property Value
Variable Name Vegetable Skillet
Aggregation Method SUM
Analysis Performed At 2018-12-22
Duration of Action 7 days
Kurtosis 48.845736838931
Maximum Allowed Value 30 serving
Mean 0.04811 serving
Median 0 serving
Minimum Allowed Value 0 serving
Number of Changes 106
Number of Correlations 104
Number of Measurements 108
Onset Delay 30 minutes
Standard Deviation 0.26758054572863
Unit Serving
UPC 736393502134
Variable ID 1668
Variance 0.071599348452433

Overall Mood Statistics

Property Value
Variable Name Overall Mood
Aggregation Method MEAN
Analysis Performed At 2019-01-28
Duration of Action 24 hours
Kurtosis 6.725960482864
Maximum Allowed Value 5 out of 5
Mean 2.9139 out of 5
Median 3 out of 5
Minimum Allowed Value 1 out of 5
Number of Changes 1161
Number of Correlations 4058
Number of Measurements 13251
Onset Delay 0 seconds
Standard Deviation 0.53288454678104
Unit 1 to 5 Rating
UPC 767674073845
Variable ID 1398
Variance 0.28396594019803

https://lh6.googleusercontent.com/-BHr4hyUWqZU/AAAAAAAAAAI/AAAAAAAIG28/2Lv0en738II/photo.jpg Principal Investigator - Mike Sinn