For most, Heart Rate (Pulse) is generally highest after a daily total of 29 grams of Monounsaturated Fat intake over the previous 7 days.
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People with higher Monounsaturated Fat intake usually have lower Heart Rate (Pulse)
Each column represents the number of days this value occurred.
This chart shows the typical value recorded for Monounsaturated Fat on each day of the week.
This chart shows the typical value recorded for Monounsaturated Fat for each month of the year.
Each column represents the number of days this value occurred.
This chart shows the typical value recorded for Heart Rate (Pulse) on each day of the week.
This chart shows the typical value recorded for Heart Rate (Pulse) for each month of the year.

Abstract

Aggregated data from 11 study participants suggests with a medium degree of confidence (p=0.21774572642804, 95% CI -8.746 to 8.394) that Monounsaturated Fat has a weakly negative predictive relationship (R=-0.18) with Heart Rate (Pulse). The highest quartile of Heart Rate (Pulse) measurements were observed following an average 27.12 grams Monounsaturated Fat per day. The lowest quartile of Heart Rate (Pulse) measurements were observed following an average 34.280595615284 g Monounsaturated Fat per day.

Objective

The objective of this study is to determine the nature of the relationship (if any) between Monounsaturated Fat and Heart Rate (Pulse). Additionally, we attempt to determine the Monounsaturated Fat values most likely to produce optimal Heart Rate (Pulse) values.

Participant Instructions

Get Up by Jawbone here and use it to record your Monounsaturated Fat. Once you have a Up by Jawbone account, you can import your data from the Import Data page. Your data will automatically be imported and analyzed.
Get Withings here and use it to record your Heart Rate (Pulse). Once you have a Withings account, you can import your data from the Import Data page. Your data will automatically be imported and analyzed.

Design

This study is based on data donated by 11 participants. Thus, the study design is equivalent to the aggregation of 11 separate n=1 observational natural experiments.

Data Analysis

Monounsaturated Fat Pre-Processing
Monounsaturated Fat measurement values below 0 grams were assumed erroneous and removed. No maximum allowed measurement value was defined for Monounsaturated Fat. It was assumed that any gaps in Monounsaturated Fat data were unrecorded 0 grams measurement values.
Monounsaturated Fat Analysis Settings

Heart Rate (Pulse) Pre-Processing
Heart Rate (Pulse) measurement values below 0 beats per minute were assumed erroneous and removed. No maximum allowed measurement value was defined for Heart Rate (Pulse). No missing data filling value was defined for Heart Rate (Pulse) so any gaps in data were just not analyzed instead of assuming zero values for those times.
Heart Rate (Pulse) Analysis Settings

Predictive Analytics
It was assumed that 0 hours would pass before a change in Monounsaturated Fat would produce an observable change in Heart Rate (Pulse). It was assumed that Monounsaturated Fat could produce an observable change in Heart Rate (Pulse) for as much as 7 days after the stimulus event.
Predictive Analysis Settings

Data Sources

Monounsaturated Fat data was primarily collected using Up by Jawbone. UP by Jawbone is a wristband and app that tracks how you sleep, move and eat and then helps you use that information to feel your best.

Heart Rate (Pulse) data was primarily collected using Withings. Withings creates smart products and apps to take care of yourself and your loved ones in a new and easy way. Discover the Withings Pulse, Wi-Fi Body Scale, and Blood Pressure Monitor.

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 weakly negative relationship between Monounsaturated Fat intake and Heart Rate (Pulse)

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. 99 paired data points were used in this analysis. Assuming that the relationship is merely coincidental, as the participant independently modifies their Monounsaturated Fat 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 Monounsaturated Fat intake and Heart Rate (Pulse) 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 Monounsaturated Fat intake
Effect Variable Name Heart Rate (Pulse)
Sinn Predictive Coefficient 0.067793156461293
Confidence Level medium
Confidence Interval 8.5699959734229
Forward Pearson Correlation Coefficient -0.1764
Critical T Value 1.6889090909091
Total Monounsaturated Fat intake Over Previous 7 days Before ABOVE Average Heart Rate ( Pulse) 27.12 grams
Total Monounsaturated Fat intake Over Previous 7 days Before BELOW Average Heart Rate ( Pulse) 34.280595615284 grams
Duration of Action 7 days
Effect Size weakly negative
Number of Paired Measurements 99
Optimal Pearson Product 0.11963185238601
P Value 0.21774572642804
Statistical Significance 0.34843636338006
Strength of Relationship 8.5699959734229
Study Type population
Analysis Performed At 2019-01-29
Number of Participants 11

Monounsaturated Fat Statistics

Property Value
Variable Name Monounsaturated Fat
Aggregation Method SUM
Analysis Performed At 2019-01-27
Duration of Action 7 days
Kurtosis 21.258295837226
Mean 5.7977987068966 grams
Median 3.4771703656365 grams
Minimum Allowed Value 0 grams
Number of Correlations 152
Number of Measurements 16854
Onset Delay 0 seconds
Standard Deviation 7.1546426140586
Unit Grams
Variable ID 1383
Variance 129.22673362927

Heart Rate (Pulse) Statistics

Property Value
Variable Name Heart Rate (Pulse)
Aggregation Method MEAN
Analysis Performed At 2019-01-27
Duration of Action 7 days
Kurtosis 6.1922007754083
Mean 2544.0407282609 beats per minute
Median 2535.9534174663 beats per minute
Minimum Allowed Value 0 beats per minute
Number of Correlations 738
Number of Measurements 172586
Onset Delay 0 seconds
Standard Deviation 214.30941770524
Unit Beats per Minute
UPC 851697006178
Variable ID 1342
Variance 2912445.6042345

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