Inspired by the proposal of this large multinational collaboration, consisting of many outstanding colleagues from the field of exercise science, I wanted to share some thoughts that may be useful to readers who wish to place more emphasis on vigorous intensity in public health.
Let's begin with the argument that vigorous/high intensity is needed because it provides "time-efficient" physical activity options, & time efficiency is the answer to the primary barrier to PA participation, namely "lack of time." The argument is popular for the past 15-20 years
This argument is fallacious. Strangely, in adopting this argument, we have chosen to disregard decades of research in labor patterns and time use. Time-use surveys show large increases in discretionary time in Western countries (e.g., +4-5 hours per day in the US, 1965-2003).
The problem is that this extra discretionary time is not being allocated to exercise or physical activity but rather to sedentary leisure activities, primarily TV and, more recently, online media consumption.
We now have multiple indications that statements to the effect "I am not physically active because I don't have time" are more likely to be a socially acceptable excuse within a culture that places great value on being "busy" (i.e., Calvinist work ethic). But they are not true.
In my own quick-and-dirty analysis of American Time Use Survey data, I found that women allocate 12.66 times and men allocate 10.03 times more time on just 2 sedentary activities (watching TV & video) than they do on all reported varieties of physical activity and sport combined.
Time allocation to *vigorous* physical activity, in particular, appears to be almost entirely absent from daily time budgets. This is extensively documented in numerous accelerometer-based studies. One of the first was Metzger et al. (2008) based on 2003-2004 NHANES.
As you can see, vigorous-intensity physical activity is almost non-existent.
Perhaps most memorably, out of thousands of people, only 23 accumulated 20 minutes of vigorous-intensity on at least 3 days per week.
A latent class analysis on 2003-2006 NHANES (7,931 adults), could not even distinguish a class of individuals doing vigorous activity because there were just too few of them.
Members of the outstanding team behind the recent proposal have contributed data from multiple sources, all converging on the observation that adults do only a handful of minutes of vigorous activity per day (normal-weight ~7, overweight ~5, obese ~3 minutes per day).
If people avoid vigorous-intensity physical activity almost universally and completely, it would be interesting to identify the principle people use to make such time-allocation "decisions" (which are most likely automatic and subconscious). Thankfully, there is research on this!
The principle that evidently drives these time-allocation decisions, a principle proposed by Juster (1985) that now transcends time-use research, is that people allocate their discretionary time largely on the basis of the "satisfactions" they derive (i.e., pleasure, enjoyment).
When people like (the late) Alan Krueger, Daniel Kahneman, David Schkade, Norbert Schwarz, and Arthur Stone are telling us that, to understand time allocation, we need to understand the pleasure, enjoyment, and well-being derived from daily activities, I think we should listen.
WHY do people avoid vigorous-intensity activity? If only there was research on this, to help us understand... But there is! We have just chosen to ignore it. We have known for years that people don't care much about duration but they do care about large negative affective peaks.
There isn't a lot of research on this in physical activity but there are indications that, given a choice, people choose to lower intensity even if this means that they have to exercise longer. Remember: people generally neglect duration but care about negative affective peaks!
Bottom line: When we advocate for more vigorous-intensity activity, even intermittent, we are pushing for (a) a type of activity that is almost universally avoided, and (b) a type of activity that is likely to induce negative affective peaks, which probably explains (a).
Of course, we are all on the same team and we all want the same outcome. But in coming up with creative ideas for solving the inactivity problem, we cannot afford to ignore decades of valuable research in related fields, including our very own exercise psychology.
As I have been saying for years, any new idea about how to solve the inactivity problem MUST comply with the "prime directive": self-determined people must be willing to return tomorrow, and for the rest of their lives, to do the "new" type of activity we are advocating again.
Other considerations (e.g., maximizing or accelerating physiological adaptations) must be considered secondary. Anything that is likely to violate the "prime directive" should be rethought - and evaluated against the accumulated scientific knowledge from relevant research fields.

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More from @Ekkekakis

17 Oct
Inspired by the latest article by @GretchenReynold in @NYTHealth about how even initially reluctant adults discover how pleasant HIIT can be, I wanted to share some tips for colleagues who review related manuscripts. This is what to look for. A thread...
The first thing to check is the participants. Look for signs that the participants were not exercise-science students of the researchers. Usually, such students already know what the researchers want to find, have seen their videos online, and their posters on the walls.
If the participants are 20-somethings, then scrutinize the characteristics of the sample. When the researchers say "recreationally active," then there is a good chance the participants were athletic. Check the VO2max, if available.
Read 23 tweets
29 Sep
I am really surprised that, when I comment on the myriad of (mostly HIIT-related) studies involving tiny samples (e.g., 5-10 per group) and a large number of dependent variables and tests of probability, most people do not see what the problem is. doi.org/10.1038/nmeth.…
In short, the combination of these two factors essentially guarantees two things: (1) you will find something "significant," especially if you don't take any steps to address the inflation of alpha, & (2) whatever you find will likely be non-replicable -- in other words, a fluke.
I am afraid that the Kinesiology literature is becoming so inundated with the combination of small samples and long lists of dependent variables and probability tests (almost always at .05), that we have become desensitized to its devastating consequences.
Read 15 tweets
6 Nov 19
Since we haven't done a critical-appraisal quiz in a while and people seem so fascinated with the finding that "High-intensity exercise [is] best for improving memory," let's do one. The person who identifies the most problems wins.

standard.co.uk/lifestyle/heal…
So, we have two versions of the sample-size calculations, arriving at the conclusion that either N = 61 or N = 64 provides adequate power for a THREE-group trial (i.e., roughly n = 20-21 per group). The 1st is from the original thesis, the 2nd is from the peer-reviewed paper.
Here, the argument is that the target effect size, based on Colcombe and Kramer (see next tweet), is d = 0.41. And that for 80% power and α = 0.05, the required sample size is 61. Be specific about any problems you see. Image
Read 5 tweets
20 Oct 19
Word of caution: Neologisms such as "affective attitudes," "affective judgments," and "anticipated affective responses" are certainly NOT "affective determinants of behavior." They are cognitions. As such, interventions to change them rely on information, not lived experiences. Image
If you catch yourself thinking that, to change someone's "affective determinants of behavior," all you need to do is TELL someone that she or he will feel better when they exercise, please stop. And read our chapter, in which we try to clear the confusion.
doi.org/10.1093/oso/97…
Please see Kuhn: he explains that, if a paradigm is threatened by anomalies, its proponents "devise numerous articulations and ad hoc modifications" to avoid denouncing the paradigm leading them to crisis. If "affective determinants" are information-based, the paradigm can stand. Image
Read 4 tweets
10 Oct 19
A thread based on slides I am presenting at @theNASEM on Oct 10. This is part of advising for the National Institute of Aging as it plans funding programs for the primary prevention of #dementia and #Alzheimer's Disease. Here we go... Image
@theNASEM Exercise has been shown to be perhaps the most effective neuroprotective intervention. This evidence is mainly based on animal research but some has been corroborated by human studies. At this point, no other intervention can claim the same conglomeration of benefits on the brain Image
According to a meta-analysis in 2018 exercise has a medium positive effect on cognition in individuals with mild cognitive impairment and Alzheimer's. However, most studies are small and some effects seem implausibly large. Image
Read 27 tweets
24 Sep 19
2018 US phys act guideline (left), 2019 UK guideline (right), same approach & numbers. 1) "It's good for you" assumes rationality, which is bounded. 2) "Here's how much you must be doing" based on benefits/risks (like drugs). Disregards that people must CHOOSE to do it long-term. Image
Compare the structure and underlying rationale of the 2018 US & 2019 UK guideline. They reflect the same approach we have used as a field for half a century: (1) Here's a bunch of percentages to convince you of the benefit, and (2) here's the specific amount you should be doing. Image
Exercise prescription guidelines and physical activity recommendations represent our "ultimate" product, the culmination of our knowledge production, and the epitome of the "value proposition" we offer society as a scientific field. So, they must reflect the best we have to offer
Read 16 tweets

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