This individual's Resting Heart Rate (Pulse) is generally highest after a daily total of 6 minutes of Meditation over the previous 7 days.
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Blue represents the sum of Meditation over the previous 7 days
An increase in 7 days cumulative Meditation is usually followed by an decrease in Resting Heart Rate (Pulse). (R = -0.228)
Typical values for Resting Heart Rate (Pulse) following a given amount of Meditation over the previous 7 days.
Typical Meditation seen over the previous 7 days preceding the given Resting Heart Rate (Pulse) 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 your Meditation changes over time.
Each column represents the number of days this value occurred.
This chart shows the typical value recorded for Meditation on each day of the week.
This chart shows the typical value recorded for Meditation for each month of the year.
This chart shows how your Resting Heart Rate (Pulse) changes over time.
Each column represents the number of days this value occurred.
This chart shows the typical value recorded for Resting Heart Rate (Pulse) on each day of the week.
This chart shows the typical value recorded for Resting Heart Rate (Pulse) for each month of the year.

Abstract

This individual's Resting Heart Rate (Pulse) is generally 0.72% higher than normal after a total of 6 minutes Meditation over the previous 7 days. This individual's data suggests with a high degree of confidence (p=2.5038244365884E-21, 95% CI -0.601 to 0.145) that Meditation has a weakly negative predictive relationship (R=-0.23) with Resting Heart Rate (Pulse). The highest quartile of Resting Heart Rate (Pulse) measurements were observed following an average 8 minutes Meditation per day. The lowest quartile of Resting Heart Rate (Pulse) measurements were observed following an average 13.228947368421 min Meditation per day.Resting Heart Rate (Pulse) is generally 1.98% lower than normal after a total of 13 minutes of Meditation over the previous 7 days. Resting Heart Rate (Pulse) is generally 0.72% higher after a total of 8 minutes of Meditation over the previous 7 days.

Objective

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

Participant Instructions

Record your Meditation daily in the reminder inbox or using the interactive web or mobile notifications.
Get Fitbit here and use it to record your Resting Heart Rate (Pulse). 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

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

Resting Heart Rate (Pulse) Pre-Processing
Resting Heart Rate (Pulse) measurement values below 40 beats per minute were assumed erroneous and removed. No maximum allowed measurement value was defined for Resting Heart Rate (Pulse). No missing data filling value was defined for Resting Heart Rate (Pulse) so any gaps in data were just not analyzed instead of assuming zero values for those times.
Resting Heart Rate (Pulse) Analysis Settings

Predictive Analytics
It was assumed that 0.5 hours would pass before a change in Meditation would produce an observable change in Resting Heart Rate (Pulse). It was assumed that Meditation could produce an observable change in Resting Heart Rate (Pulse) for as much as 7 days after the stimulus event.
Predictive Analysis Settings

Data Quantity
914 raw Meditation measurements with 263 changes spanning 1886 days from 2014-04-29 to 2019-06-27 were used in this analysis. 1682 raw Resting Heart Rate (Pulse) measurements with 1167 changes spanning 2204 days from 2013-03-22 to 2019-04-05 were used in this analysis.

Data Sources

Meditation 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.

Resting Heart Rate (Pulse) 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 weakly negative relationship between Meditation and Resting 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. 1473 paired data points were used in this analysis. Assuming that the relationship is merely coincidental, as the participant independently modifies their Meditation 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 Meditation and Resting 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 Meditation
Effect Variable Name Resting Heart Rate (Pulse)
Sinn Predictive Coefficient 0.2694
Confidence Level high
Confidence Interval 0.37276374123636
Forward Pearson Correlation Coefficient -0.228
Critical T Value 1.646
Total Meditation Over Previous 7 days Before ABOVE Average Resting Heart Rate ( Pulse) 8 minutes
Total Meditation Over Previous 7 days Before BELOW Average Resting Heart Rate ( Pulse) 13 minutes
Duration of Action 7 days
Effect Size weakly negative
Number of Paired Measurements 1473
Optimal Pearson Product 0.073877086028139
P Value 2.5038244365884E-21
Statistical Significance 0.99981589420627
Strength of Relationship 0.37276374123636
Study Type individual
Analysis Performed At 2019-06-29

Meditation Statistics

Property Value
Variable Name Meditation
Aggregation Method SUM
Analysis Performed At 2019-06-28
Duration of Action 7 days
Kurtosis 13.850137687697
Maximum Allowed Value 7 days
Mean 80 seconds
Median 0 seconds
Minimum Allowed Value 0 seconds
Number of Changes 263
Number of Correlations 278
Number of Measurements 914
Onset Delay 30 minutes
Standard Deviation 3.5609044605963
Unit Minutes
UPC 640791683572
Variable ID 85055
Variance 12.680040577494

Resting Heart Rate (Pulse) Statistics

Property Value
Variable Name Resting Heart Rate (Pulse)
Aggregation Method MEAN
Analysis Performed At 2019-04-06
Duration of Action 24 hours
Kurtosis 8.7283041358916
Mean 81.83 beats per minute
Median 81 beats per minute
Minimum Allowed Value 40 beats per minute
Number of Changes 1167
Number of Correlations 3310
Number of Measurements 1682
Onset Delay 0 seconds
Standard Deviation 6.0955455916415
Unit Beats per Minute
UPC 714169039954
Variable ID 5211891
Variance 37.15567605978

Tracking Meditation

Record your Meditation daily in the reminder inbox or using the interactive web or mobile notifications.

Tracking Resting Heart Rate (Pulse)

Get Fitbit here and use it to record your Resting Heart Rate (Pulse). 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