Higher Methyl Folate+ With L-5-MTHF + Methyl B12 By One Elevated Predicts Very Slightly Lower Daily Step Count for Population

Higher Methyl Folate+ With L-5-MTHF + Methyl B12 By One Elevated Predicts Very Slightly Lower Daily Step Count for Population

Contents

Variables

A
Methyl Folate+ With L-5-MTHF + Methyl B12 by One Elevated 274
A
Steps 331

Categories

A
Treatments 9356
A
Physical Activity 1719

Actions

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Your Data

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Medium Confidence
Very Weak Effect Size
Negative Relationship
Population Study
cause image gauge image effect image
Participants reported a 1% average increase in Daily Step Count following above average Methyl Folate+ With L-5-MTHF + Methyl B12 by One Elevated.

Abstract

Daily Step Count was generally 0% higher than average after a total of 0 count of Methyl Folate+ With L-5-MTHF + Methyl B12 By One Elevated over the previous 21 days.

Aggregated data from 1 study participants suggests with a MEDIUM degree of confidence (p=0.389, 95% CI -788.954 to 788.762) that Methyl Folate+ With L-5-MTHF + Methyl B12 By One Elevated has a very weakly negative predictive relationship (R=-0.0957) with Daily Step Count.

The highest quartile of Daily Step Count measurements were observed following an average 0.726 count Methyl Folate+ With L-5-MTHF + Methyl B12 By One Elevated per day.

The lowest quartile of Daily Step Count measurements were observed following an average 0.626 count of Methyl Folate+ With L-5-MTHF + Methyl B12 By One Elevated per day.

After an onset delay of 30 minutes, Daily Step Count is typically 0% lower than average over the 21 days following around 0.626 count of Methyl Folate+ With L-5-MTHF + Methyl B12 By One Elevated Methyl Folate+ With L-5-MTHF + Methyl B12 By One Elevated.

Keywords: Methyl Folate+ With L-5-MTHF + Methyl B12 By One Elevated, Daily Step Count, N-of-1 trials, real-world evidence, causal inference, observational study

Preliminary: Based on 1 participants. Results may change as more data is collected.

Results

Primary Findings

Analysis of 382 paired observations from 1 participants revealed a minimal reduction in Daily Step Count following above-average Methyl Folate+ With L-5-MTHF + Methyl B12 By One Elevated exposure.

-3.3%
Change from Baseline
Minimal effect on Daily Step Count
0.00
Predictor Impact Score
Insufficient evidence for causal relationship

Supporting Statistics

Medium
Confidence
-0.096
Correlation (r)
p = 0.990
Significance
z = 0.05
Effect Magnitude
φ = 1.00
Temporality

What This Means

When participants had above-average Methyl Folate+ With L-5-MTHF + Methyl B12 By One Elevated:

  • Daily Step Count decreased by 3.3% on average
  • Temporal analysis supports Methyl Folate+ With L-5-MTHF + Methyl B12 By One Elevated as the predictor (not the outcome)

Interpreting the Predictor Impact Score

The Predictor Impact Score (PIS) integrates multiple Bradford Hill causal criteria into a single metric. Use this guide to interpret the score:

PIS Range Interpretation Recommended Action
≥ 0.5 Strong evidence High priority for RCT validation
0.3 - 0.5 Moderate evidence Consider for experimental investigation
0.1 - 0.3 Weak evidence Monitor for additional data
< 0.1 Insufficient evidence Low priority; may be noise

Note: PIS is a prioritization heuristic, not proof of causation. High scores indicate relationships worth investigating, not confirmed causal effects. With only 1 participants, these scores are preliminary and will become more reliable as additional data is collected.

Optimal Daily Values (Precision Dosing)

Based on the observed relationship, we can estimate the predictor values associated with the best and worst outcomes. These values enable personalized dosing recommendations.

⚠️ Preliminary Data: With 1 participants and 382 observations, these optimal values are preliminary estimates. As more data is collected, precision will improve significantly.

0.0 count
Value Predicting Higher Daily Step Count
Average Methyl Folate+ With L-5-MTHF + Methyl B12 By One Elevated when Daily Step Count exceeded its mean
8.0 count
Value Predicting Lower Daily Step Count
Average Methyl Folate+ With L-5-MTHF + Methyl B12 By One Elevated when Daily Step Count was below its mean

What This Suggests

Daily Step Count tended to be lowest (best) when Methyl Folate+ With L-5-MTHF + Methyl B12 By One Elevated was around 8.0 count.

Important: These values reflect correlations, not guaranteed causal effects. Individual responses may vary. Use as a starting point for personal experimentation, not as a definitive prescription. Consult healthcare providers before making treatment decisions.

Population Correlation

Methyl Folate+ With L-5-MTHF + Methyl B12 By One Elevated Distribution

Daily Step Count Distribution

Relationship Analysis

Statistical Summary

Relationship Statistics

Property Value
Cause Variable Name Methyl Folate+ With L-5-MTHF + Methyl B12 by One Elevated
Effect Variable Name Daily Step Count
Sinn Predictive Coefficient 0.0045535296995597
Confidence Level MEDIUM
Confidence Interval 788.85819276746
Forward Pearson Predictive Coefficient -0.0957
Critical T Value 1.646
Total Methyl Folate+ With L-5-MTHF + Methyl B12 by One Elevated Over Previous 21 days Before ABOVE Average Daily Step Count 0.726 count
Total Methyl Folate+ With L-5-MTHF + Methyl B12 by One Elevated Over Previous 21 days Before BELOW Average Daily Step Count 0.626 count
Duration of Action 21 days
Effect Size very weakly negative
Number of Paired Measurements 382
Optimal Pearson Product -0.022008942666326
P Value 0.38930156920281
Statistical Significance 0.9904
Strength of Relationship 788.85819276746
Study Type population
Analysis Performed At 2026-01-04
Number of Participants 1

Methyl Folate+ With L-5-MTHF + Methyl B12 by One Elevated Info

Property Value
Variable Name Methyl Folate+ With L-5-MTHF + Methyl B12 by One Elevated
Aggregation Method SUM
Analysis Performed At 2022-09-26
Duration of Action 21 days
Filling Value 0
Kurtosis 9.6729434532172
Mean 0.20885 count
Median 0 count
Minimum Allowed Value 0 count
Number of Aggregate Predictors 0
Number of Aggregate Outcomes 274
Number of Measurements 165
Number of Measurements (including those generated by tagged, joined, or child variables) 271
Public true
Onset Delay 30 minutes
Standard Deviation 0.46495590461158
Unit Count
User Variables 2
Variable Category Treatments
Variable ID 6059507
Variance 0.21618399323317

Steps Info

Property Value
Variable Name Daily Step Count
Aggregation Method SUM
Analysis Performed At 2020-10-11
Duration of Action 7 days
Kurtosis 16.639977980211
Mean 6466.3629645193 count
Median 6036.923245614 count
Minimum Allowed Value 1 count
Number of Aggregate Predictors 131
Number of Aggregate Outcomes 200
Number of Measurements 88028
Number of Measurements (including those generated by tagged, joined, or child variables) 10365
Public true
Onset Delay 0 seconds
Standard Deviation 3084.0373174008
Unit Count
User Variables 280
UPC 734010049130
Variable Category Physical Activity
Variable ID 1451
Variance 12961277.144652

Introduction

Background

Methyl Folate+ With L-5-MTHF + Methyl B12 By One Elevated (Treatments) and Daily Step Count (Physical Activity) are both important factors in understanding human health and well-being. This study investigates the relationship between these two variables using real-world observational data.

Traditional randomized controlled trials (RCTs), while the gold standard for causal inference, are often impractical, expensive, or unethical for studying many health relationships. Aggregated N-of-1 observational studies offer a complementary approach that leverages within-subject comparisons across large populations to identify meaningful patterns.

Research Question

Does Methyl Folate+ With L-5-MTHF + Methyl B12 By One Elevated affect Daily Step Count?

Additionally, we seek to determine:

  1. What is the direction and magnitude of any effect?
  2. How confident can we be in this relationship based on the available data?
  3. What are the optimal levels of Methyl Folate+ With L-5-MTHF + Methyl B12 By One Elevated for maximizing Daily Step Count?

Study Objective

The objective of this study is to determine the nature of the relationship (if any) between Methyl Folate+ With L-5-MTHF + Methyl B12 By One Elevated and Daily Step Count. Additionally, we attempt to determine the Methyl Folate+ With L-5-MTHF + Methyl B12 by One Elevated values most likely to produce optimal Daily Step Count values.

Study Overview

This is a population-level observational study using aggregated N-of-1 methodology. By aggregating individual N-of-1 experiments, we can identify population-level patterns while accounting for the substantial individual variation that exists in most health relationships. Effect sizes are reported as percent change from baseline, enabling intuitive interpretation and comparison across different measures.

Full Methodology: Framework for Real-World Evidence-Based Pharmacovigilance: Aggregated N-of-1 Trials for Quantifying Treatment Effects

Discussion

Interpretation of Findings

Participants experienced a 3.3% reduction in Daily Step Count following above-average Methyl Folate+ With L-5-MTHF + Methyl B12 By One Elevated exposure. The Predictor Impact Score (PIS) of 0.00 indicates insufficient evidence for a causal relationship.

Statistical Significance

Using a two-tailed t-test with alpha = 0.05, it was determined that the change in Daily Step Count is not statistically significant at a 95% confidence interval. This suggests that the Methyl Folate+ With L-5-MTHF + Methyl B12 By One Elevated value may not have a significant influence on the Daily Step Count value, or that more data is needed to detect an effect.

After treatment, a 1% increase (-238 count) from the mean baseline 7310 count was observed. The relative standard deviation at baseline was 62.2%. The observed change was 0.05 times the standard deviation.

A common rule of thumb considers a change greater than twice the baseline standard deviation on two separate pre-post experiments may be considered significant. This occurrence would have only a 5% likelihood of resulting from random fluctuation (a p-value < 0.05).

T-Test Details
Observed t-value: 0.221
Critical t-value: 1.646

Since t = 0.22 < 1.65, we cannot reject the null hypothesis.

Biological Plausibility

A plausible bio-chemical mechanism between predictor and outcome is critical for interpreting observational findings. This is where human judgment excels beyond statistical analysis.

Community feedback on the biological plausibility of this relationship is still being collected. Consider the known mechanisms by which Methyl Folate+ With L-5-MTHF + Methyl B12 By One Elevated might influence Daily Step Count.

Bradford Hill Criteria Assessment

The Bradford Hill criteria provide a framework for assessing causality in observational studies. Our methodology operationalizes six of the nine criteria through the Predictor Impact Score (PIS):

Criterion How Addressed Metric
Strength Effect size magnitude Percent change from baseline (Δ%), z-score
Consistency Cross-participant replication Number of users (N), number of pairs (n)
Temporality Predictor precedes outcome Temporality factor (φ), onset delay (δ > 0)
Biological Gradient Dose-response relationship Gradient coefficient (φgradient)
Plausibility Biological mechanism assessment Community votes on mechanism plausibility
Specificity Category appropriateness Interest factor (finterest)

Predictor Impact Score (PIS)

The PIS integrates multiple Bradford Hill criteria into a composite metric quantifying how reliably a predictor affects an outcome. Higher scores indicate stronger evidence:

Population-Level PIS:

$$\text{PIS}_{\text{agg}} = |r_{\text{forward}}| \cdot w \cdot \phi_{\text{users}} \cdot \phi_{\text{pairs}} \cdot \phi_{\text{change}} \cdot \phi_{\text{gradient}}$$

Where φ-factors are saturation functions approaching 1 as evidence accumulates:

  • φusers = 1 - e-N/10 (user saturation)
  • φpairs = 1 - e-n/nsig (pair saturation)
  • φchange = 1 - e-Δspread/Δsig (effect spread saturation)
  • w = weighted average of plausibility votes

Temporality Assessment

We assess evidence for correct causal direction using the temporality factor:

$$\phi_{\text{temporal}} = \frac{|r_{\text{forward}}|}{|r_{\text{forward}}| + |r_{\text{reverse}}|}$$

Values approaching 1 indicate the predictor precedes the outcome (supporting causation); values near 0.5 suggest ambiguous directionality; values near 0 suggest reverse causation or confounding by indication.

Limitations

As with any observational study, correlation does not prove causation. Key limitations include:

  • Unmeasured confounders: Variables not tracked may influence results
  • Self-selection bias: Health trackers may differ from the general population
  • Measurement error: Self-reported data may contain recall bias
  • Confounding by indication: Sicker individuals may use more treatments

However, within-subject comparison and temporal precedence analysis partially mitigate these limitations. If the relationship is merely coincidental, as participants independently modify their Methyl Folate+ With L-5-MTHF + Methyl B12 By One Elevated values, the observed strength will decline over time. Spurious correlations naturally dissipate as more data is collected.

Future Directions

Future research should examine:

  • Subgroup analyses to identify individual differences in response
  • Potential confounders and mediators of the observed relationship
  • Optimal dosing and timing for Methyl Folate+ With L-5-MTHF + Methyl B12 By One Elevated
  • Confirmation through prospective or randomized designs
  • Biological mechanisms underlying the observed effects

Conclusion

📊 Preliminary Findings: With 1 participants, these results are based on limited data. Effect sizes and confidence will improve as more participants contribute data. Consider these findings directional rather than definitive.

Above-average Methyl Folate+ With L-5-MTHF + Methyl B12 By One Elevated was associated with a 3.3% reduction in Daily Step Count—a minimal effect. The Predictor Impact Score of 0.00 indicates this relationship is requiring additional data before conclusions.

Bottom Line: Based on a PIS of 0.00 and a 3.3% effect size, this relationship currently lacks sufficient evidence. Continue monitoring as more data becomes available. Note: These conclusions may strengthen or change direction as more data is collected.

These findings contribute to our understanding of how Methyl Folate+ With L-5-MTHF + Methyl B12 By One Elevated may influence Daily Step Count in real-world conditions. While preliminary, these results may inform future research directions. As more participants contribute data, the reliability and precision of these findings will improve substantially.

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Methods

Study Design

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

This within-subject design is powerful because it controls for all stable individual characteristics (genetics, baseline health status, socioeconomic factors) that might otherwise confound the relationship between variables.

Data Analysis

Temporal Assumptions

The analysis incorporates temporal assumptions about the relationship between variables:

  • Onset Delay: It was assumed that 30 minutes would pass before a change in Methyl Folate+ With L-5-MTHF + Methyl B12 By One Elevated would produce an observable change in Daily Step Count.
  • Duration of Action: It was assumed that Methyl Folate+ With L-5-MTHF + Methyl B12 By One Elevated could produce an observable change in Daily Step Count for as much as 21 days after the stimulus event.

Statistical Methods

For each participant, we calculated the Pearson correlation coefficient between Methyl Folate+ With L-5-MTHF + Methyl B12 By One Elevated values and subsequent Daily Step Count values. Individual correlations were then aggregated using Fisher's z-transformation to produce a population-level estimate:

Individual Correlation:

$$r_i = \frac{\sum(x_{ij} - \bar{x}_i)(y_{ij} - \bar{y}_i)}{\sqrt{\sum(x_{ij} - \bar{x}_i)^2 \sum(y_{ij} - \bar{y}_i)^2}}$$

Fisher's Z-Transformation:

$$z_i = \frac{1}{2} \ln\left(\frac{1 + r_i}{1 - r_i}\right)$$

Aggregated Correlation:

$$\bar{r} = \tanh(\bar{z}) \quad \text{where} \quad \bar{z} = \frac{1}{N}\sum_{i=1}^{N} z_i$$

Effect Size Calculation

Effect sizes are reported as percent change from baseline. For each participant, we compare the outcome following above-average predictor values to the overall baseline outcome:

$$\Delta\%_{\text{baseline}} = \frac{\bar{O}_{\text{follow-up}} - \bar{O}_{\text{baseline}}}{\bar{O}_{\text{baseline}}} \times 100$$

Effect Magnitude (Z-Score)

To assess effect magnitude relative to natural variability, we calculate the z-score:

$$z = \frac{|\Delta\%_{\text{baseline}}|}{\text{RSD}_{\text{baseline}}}$$

where RSDbaseline is the relative standard deviation of outcome during baseline period

A z-score > 2 indicates statistical significance (p < 0.05), meaning the observed change exceeds typical baseline fluctuation and is unlikely due to random variation.

Statistical Significance

Correlation significance is assessed using a two-tailed t-test:

$$t = \frac{r\sqrt{n-2}}{\sqrt{1-r^2}}$$

We reject the null hypothesis (ρ = 0) at α = 0.05 when |t| exceeds the critical value, providing statistical evidence that the observed relationship is not due to chance.

Data Sources

Methyl Folate+ With L-5-MTHF + Methyl B12 By One Elevated 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.

Daily Step Count data was primarily collected using Fitbit. Fitbit makes activity tracking easy and automatic.

Data Quality

Data quality measures were applied to ensure reliable results:

  • Minimum Data Requirement: Only participants with sufficient paired observations were included in the analysis.
  • Outlier Handling: Extreme values were winsorized to reduce the influence of measurement errors.
  • Missing Data: Days with missing values were handled using appropriate filling strategies based on the variable type.
  • Test User Exclusion: Test accounts and invalid users were excluded from all analyses.

Principal Investigator

Program & Methods

Mike P. Sinn
Sinn, M. P.

Designed and implemented data collection, aggregation, causal inference pipeline, and automated study generation framework. Developed the Predictor Impact Score methodology operationalizing Bradford Hill criteria for ranking causal relationships in observational data. When he tells people this at parties, they usually say they have to go check on their car.

Individual study outputs are automated, reproducible, and open to external audit. (Which I would seriously recommend.)

Contact

Cite This Study

APA Format
Sinn, M. P. (2026). Causal Analysis: Does Methyl Folate+ With L-5-MTHF + Methyl B12 by One Elevated Affect Daily Step Count?. The Journal of Citizen Science. https://studies.crowdsourcingcures.org/study/cause-6059507-effect-1451-population-study
BibTeX 
@misc{sinn_cause_6059507_effect_1451_population_study_2026,
  author = {Sinn, Mike P.},
  title = {Causal Analysis: Does Methyl Folate+ With L-5-MTHF + Methyl B12 by One Elevated Affect Daily Step Count?},
  year = {2026},
  publisher = {The Journal of Citizen Science},
  url = {https://studies.crowdsourcingcures.org/study/cause-6059507-effect-1451-population-study},
  note = {Accessed: January 6, 2026}
}
Chicago/Turabian
Sinn, Mike P. "Causal Analysis: Does Methyl Folate+ With L-5-MTHF + Methyl B12 by One Elevated Affect Daily Step Count?." The Journal of Citizen Science. Accessed January 6, 2026. https://studies.crowdsourcingcures.org/study/cause-6059507-effect-1451-population-study.
Harvard
Sinn, M.P., 2026. Causal Analysis: Does Methyl Folate+ With L-5-MTHF + Methyl B12 by One Elevated Affect Daily Step Count?. [Aggregated N-of-1 Study] The Journal of Citizen Science. Available at: https://studies.crowdsourcingcures.org/study/cause-6059507-effect-1451-population-study [Accessed January 6, 2026].

Study Type: Aggregated N-of-1 Observational Mega-Study
Evidence Level: Level II (Real-World Evidence)
Methodology: Bradford Hill Criteria with Predictor Impact Score (PIS)

References

This framework was originally developed in 2013 based on the Bradford Hill criteria. Subsequent literature has independently validated similar approaches to causal inference from observational data:

  1. Hill, A.B. (1965). The environment and disease: association or causation? Proceedings of the Royal Society of Medicine, 58(5), 295-300. [Bradford Hill criteria]
  2. Lillie, E.O., et al. (2011). The n-of-1 clinical trial: the ultimate strategy for individualizing medicine? Personalized Medicine, 8(2), 161-173. [N-of-1 methodology]
  3. Pearl, J. (2009). Causality: Models, Reasoning, and Inference . Cambridge University Press. [Causal inference]
  4. Hernán, M.A., & Robins, J.M. (2020). Causal Inference: What If . Chapman & Hall/CRC. [Free textbook]
  5. FDA (2018). Framework for FDA's Real-World Evidence Program . U.S. Food and Drug Administration. [Regulatory context]
  6. Duan, N., et al. (2013). Single-patient (n-of-1) trials: a pragmatic clinical decision methodology . Journal of Clinical Epidemiology, 66(8), S21-S28.
  7. Platt, R., et al. (2018). The FDA Sentinel Initiative—an evolving national resource . New England Journal of Medicine, 379(22), 2091-2093.

This information is for research and educational purposes only, not medical advice. Consult a healthcare provider before making health decisions. Terms of Service

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