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Background:

Ye Generic Breath Meditation:

   1. breathe in for A seconds
   2. hold breath for B seconds
   3. breathe out for C seconds
   4. hold breath for D seconds


There is a claim made on breath meditation that the in/out timing ratio (A/C) affects the effects of the breathing exercise - namely, that a higher A/C will create more invigorating effects, and a lower A/C will create more relaxing effects.

A normal timing that most people can do is 5/1/5/1 (A~D).

A claimed 'energetic' timing would be 5/0/2/0. A claimed 'relaxing' timing would be 2/0/5/0.

Query: Is this claim (of differential effect) true?

Proposed test method:

Subjects: Random people walking around downtown Berkeley
Equipment: A fingertip pulse oximeter (FPO), stopwatch, coin, two chairs, and clipboard w/survey & consent

Method:

   1. Approach random person. Ask: "Would you like to participate in a research experiment about breathing? It'll only take 5 minutes."
   2. If agreed, have them sit down comfortably in the chair, and read and sign a simple consent form (stating that it's a study to investigate the effects of different breathing methods, no deception involved).
   3. Measure and record pulse and SpO2. (Measuring after they sit & read will help to get closer to a baseline level, i.e. not immediately post-exercise of walking up stairs or the like.)
   4. Secretly flip a coin. "Heads" is the 'energetic' timing, tails the 'relaxing' timing.
   5. Tell them to breath in A seconds, out C seconds, per the toss; have them count it out subvocally and keep it up for 3 minutes.
          * Alternately to 4-5 (if experimenter blinding is an issue), have them flip a coin themselves and pick an index card with instructions with "heads" or "tails" written on the back.
   6. Measure & record pulse and SpO2 again.
   7. Have them fill out survey:
         1. current perceived state (relaxed ... energetic, tick-the-line style)
         2. perceived change in state since starting the exercise (ditto as delta)
         3. prior familiarity with meditation generally (1-5)
         4. prior familiarity with breath meditation (1-5)
         5. age
         6. gender
         7. initials
   8. Thank for participation, debrief explaining details as above, & answer whatever questions they have. Move on to next subject.

Discard any results with #3 or 4 rated higher than 2 to prevent tainting via priming.

If the claim is true, then there should be a significant correlation between the BPM, SpO2, and/or perceived current/delta state and which group they were assigned to.

If the claim is false (or clinically insignificant), then there would be no significant correlation.

The experiment may need to reperformed later using only a single measure that performs well in the first round, to prevent sharpshooter fallacy.


Suggestions for improvement?

Comments

( 9 comments — Leave a comment )
callianassa
Feb. 17th, 2009 07:02 am (UTC)
Hasn't some stuff in this area been done before, particularly regarding sports and medicine?

To save time, why not screen for familiarity with meditation before having them do it? And why not randomly assign subjects before testing? You'd probably also want to get a baseline mood survey immediately before starting to test, not afterward.

Definitely screen for COPD, other respiratory stuff, and circulatory problems, particularly in smokers, older folks, and women. Don't use kids, adolescents, or the elderly because of different respiratory rates.

In general, the "random people walking around" doesn't seem like a very efficient way to get subjects. Most of the people I'd imagine would have time are likely to be too elderly or too young.

If you're looking to publish, you'd also want to get IRB approval. Are you human subjects-approved anywhere, or do you know someone who is?
saizai
Feb. 17th, 2009 09:50 am (UTC)
Re. screening upfront - I'm concerned about priming. I don't want to say anything about 'meditation' before data is collected to avoid that. Ditto for mood survey - I don't want to tilt that to being overweighted.

Unless you're suggesting it'd be potentially harmful, why screen for respiratory variance? I'm not doing inter-subject number comparisons, just delta %ages; comparing raw data would obviously be invalid.

No IRB I know of will talk to non-affiliates, unfortunately.
callianassa
Feb. 18th, 2009 05:35 am (UTC)
Priming is a good point, but you don't need to call it meditation. You can throw in dummy questions, too. With the mood survey, I think the priming would be less important than the validity concerns that arise from the lack of a real baseline.

Screening for respiratory and circulatory variance is important so that you weed out the people who'd throw off the pulse oximetry results.

Could you become an affiliate? It's not uncommon here and at a few other places I know for alumni to come back and hang around as research assistants. If you can't get IRB approval, especially for human subjects, publishing is going to be a big issue.

By the way, what stats would you run on this?
saizai
Feb. 18th, 2009 05:48 am (UTC)
Real baseline is provided by the pulse & o2 samples. But enh, I can ask mood survey upfront I guess.

Why would respiratory/circulatory variance throw off the pulse oximetery results between that same person's before & after?

Stats: *shrug* simple correlations to the group choice. First round, see what correlates. Second round, do just the one metric, same deal. Should be pretty straightforward.
callianassa
Feb. 18th, 2009 06:24 am (UTC)
It could throw it off because people with those problems frequently change significantly from sitting to standing, and based on how relaxed they are--and randomly, for that matter. The comparatively larger significance of those changes is too likely to not be caused by your interventions, and to misstate your case. Besides, they might not even change in the direction you'd like.

Ignoring all that, do you really want to not screen for circulatory/respiratory problems on a study involving manipulating respiration? I can't think of an IRB that would like the risks that creates.

*shrug* Fairly; I was just curious as to the particular procedures you'd run, and where you'd put your sig levels.
saizai
Feb. 18th, 2009 06:26 am (UTC)
Hm. Fair points.

Would such questions bias/prime it? How old or young is too old or young?
callianassa
Feb. 18th, 2009 06:41 am (UTC)
I'd say you don't need to worry about too young, as you probably don't want to worry about parental consent for under-18s anyways. As for too old, I wouldn't put a particular limit, but you're likely to get more problems over about 70. I'd just ask if they'd ever been prescribed an inhaler or oxygen, had a history of respiratory or circulatory trouble, or been a long-term heavy smoker. For circulation, aside from the major trouble questions, I'd ask about cold or stiff hands. Arthritis and more minor problems that could throw you off can go undiagnosed for years. But I'd ask those questions of everyone.

As for biasing or priming, no. You're not doing anything that involves deception, and subject screening is a part of just about every study. Your procedure's going to be very clear to your subjects, and your hypothesis will probably be apparent to at least half. Besides, you could be asking about medical histories for any number of reasons; I doubt anyone would immediately make the respiratory history->meditation leap.
saizai
Feb. 18th, 2009 07:01 am (UTC)
I don't think the hypothesis should be visible, because I'm not going to tell subjects about the two groups in the upfront info - just that it'll involve breathing a certain way, fingertip measurement, and a survey. I certainly hope it's not visible, at least; that'd cause priming to "live up" to what I want.

At the end, sure.

But yeah, I can just give 'em a page that lists disqualifying conditions and have 'em say whether they're in any of those categories.
callianassa
Feb. 18th, 2009 07:16 am (UTC)
"Breathing a certain way" won't be transparent? (And you're looking to conduct this in Berkeley...?) If you want to make sure nobody has any experience with the idea that breath can influence mood, you're going to have a hard time finding subjects. I don't see what knowing about the other group has to do with it.

Whitecoat effects can go either way, for what it's worth. Sure, you often get ones who want to help. And you get ones who don't. It's not something researchers lose a great deal of sleep over. Most studies don't involve deception, and don't screen for the subject guessing the hypothesis.

*shrug* Overall, I think your concerns about priming are overstated. They'll likely guess when they take the second mood survey, at latest. If you're really that concerned, you can always throw in some dummy surveys as well.
( 9 comments — Leave a comment )

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