Category Archives: News/Media

Don’t believe everything you watch, even if it is a TED talk….

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Recently my scientific curiosity was piqued after watching this edited short piece from the TED talk by Susan Pinker. Her presentation titled “The secret to living longer may be your social life” explored (as described in the video) the “least to strongest predictors of reducing your chances of dying”. Now let me be clear. It not my intention to dispute the central argument of Pinker’s presentation, which is that strong social relationships, good social integration and minimal social isolation are all critically important to our wellbeing, as the data shows that this is so. What I do want to contest, however, is her claims made regarding the effects of exercise on mortality, as this is what primarily interests me as an Exercise Scientist. I wanted to confirm that what was presented actually reflects the current body of evidence and the latest science published in this area. My contention is that what she presented in the abovementioned TED talk does not in fact do this. I have not researched whether the effect sizes purported for other parameters (such as smoking, alcohol, obesity etc) hold up. I did initially suspect that the effect size reported for exercise was outdated. After assessing the research and literature, there are a number of erroneous claims made and outdated science used that, in my opinion, require critique and comment.

Pinker cites the work of Julianne Holt-Lunstad and states the following (taken directly from the transcript):

6:22

Now, these centenarians’ stories along with the science that underpins them prompted me to ask myself some questions too, such as, when am I going to die and how can I put that day off? And as you will see, the answer is not what we expect. Julianne Holt-Lunstad is a researcher at Brigham Young University and she addressed this very question in a series of studies of tens of thousands of middle aged people much like this audience here. And she looked at every aspect of their lifestyle:their diet, their exercise, their marital status, how often they went to the doctor, whether they smoked or drank, etc. She recorded all of this and then she and her colleagues sat tight and waited for seven years to see who would still be breathing. And of the people left standing, what reduced their chances of dying the most? That was her question.

07:19

So let’s now look at her data in summary, going from the least powerful predictor to the strongest.OK? So clean air, which is great, it doesn’t predict how long you will live. Whether you have your hypertension treated is good. Still not a strong predictor. Whether you’re lean or overweight, you can stop feeling guilty about this, because it’s only in third place. How much exercise you get is next, still only a moderate predictor. Whether you’ve had a cardiac event and you’re in rehab and exercising,getting higher now. Whether you’ve had a flu vaccine. Did anybody here know that having a flu vaccine protects you more than doing exercise? Whether you were drinking and quit, or whether you’re a moderate drinker, whether you don’t smoke, or if you did, whether you quit, and getting towards the top predictors are two features of your social life. First, your close relationships. These are the people that you can call on for a loan if you need money suddenly, who will call the doctor if you’re not feeling well or who will take you to the hospital, or who will sit with you if you’re having an existential crisis, if you’re in despair. Those people, that little clutch of people are a strong predictor, if you have them, of how long you’ll live. And then something that surprised me, something that’s called social integration. This means how much you interact with people as you move through your day.How many people do you talk to? And these mean both your weak and your strong bonds, so not just the people you’re really close to, who mean a lot to you, but, like, do you talk to the guy who every day makes you your coffee? Do you talk to the postman? Do you talk to the woman who walks by your house every day with her dog? Do you play bridge or poker, have a book club? Those interactions are one of the strongest predictors of how long you’ll live.

Comments:

The 2 studies cited in the footnotes (notes and references) section in support of Pinker’s claims regarding the above are the following: a) Social relationships and mortality risk: A meta-analytic review,” Holt-Lunstad, Julianne, Smith, Timothy R., and Layton, Bradley J, PLOS Medicine, 2010 and b) “Loneliness and Social Isolation as Risk Factors for Mortality,” Julianne Holt-Lunstad, Perspectives on Psychological Science, 2015. Both these studies were meta-analytical reviews conducted to determine the extent to which social relationships and social isolation influence risk for mortality. They clearly and rightly show that the quality and strength of the social relationships, social integration and social isolation that we experience are key determinants and predictors of premature death.

However, Holt-Lunstad’s research and her meta-analytical studies did not directly collect, analyse or assess the impact of diet, exercise, obesity, alcohol, smoking etc over a 7-year period on mortality as claimed by Pinker. This data was extracted from other meta-analyses that were performed by other researchers.

Let’s look at the graph that Pinker uses to illustrate her argument.

least to strongest predictors of reducing your chances of dying
Susan Pinker: “What reduces your chances of dying the most?”

The graph used by Pinker in her presentation is a modification of this graph (see below and click on for a clearer image) from the paper Social relationships and mortality risk: A meta-analytic review,” Holt-Lunstad, Julianne, Smith, Timothy R., and Layton, Bradley J, PLOS Medicine, 2010

The secret to living longer may be your social life
The evidence used for exercise and mortality

As you can see the effect sizes for things like smoking, alcohol, exercise, obesity have not been derived from Julianne Holt-Lunstad’s primary research. These have been extracted from other meta-analyses that Holt-Lunstad had nothing to do with. You can see the letters against each predictor (eg smoking) and the associated reference with the effect size taken from this. Figure 6 was created to compare and contrast how important social relationships and connections are to us, with other well known influencers and determinants of mortality.

As an Exercise Scientist I was particularly curious by Holt-Lunstad’s ranking of exercise in the least to strongest predictors graph as depicted in her paper and was very keen to have a look at this research given that the claims promulgated by Pinker hinges on this evidence.

As you can see in the picture above (highlighted in yellow) the effect size used for exercise was taken from this study: Katzmarzyk, Janssen, and Ardern, 2003 [210]. A 15-year-old meta-analysis. Here’s a screenshot of the reference list with the highlighted study used to rank exercise in Pinkers graph above.

The secret to living longer may be your social life
A 15-year-old meta-analysis was used as evidence

The key questions in my mind are:

  • Does the Katzmarzyk et al. (2003) meta-analysis still represent and reflect the best and most robust evidence currently available?
  • Has there been any additional research since 2003 that has changed our understanding regarding the impact of exercise on all-cause, CVD-related and cancer-related mortality?
  • Is the graph that Pinker hinges her “least and strongest predictors of how long you’ll live” argument on, still hold up?

The simple answers to these questions I believe, are no, yes and no.

One of the big changes in exercise research over the last decade or so is the development of, and refinement in how accurately physical activity and exercise can be measured. In earlier studies that assessed the effects of exercise on mortality, the methods utilised to ascertain the data on the amount of exercise performed was quite crude and was established subjectively. In other words, those involved in such studies were usually asked via a questionnaire how much exercise and/or physical activity do they do everyday/in a week? As you would appreciate data collected in this fashion is unlikely to be very accurate. It would not therefore be a true reflection of what participants were actually doing.

This is precisely the problem with the Katzmarzyk et al. (2003) meta-analysis that was used by Holt-Lunstad in her paper and which Pinker cites in her presentation, in that results were based on subjective determinations of exercise. More recent research has moved to much more accurate and nuanced methods to establish the magnitude and intensity of physical activity and exercise in such studies.

Devices known as accelerometers have revolutionised the objective daily measurement of exercise and physical activity. Over the last few years several studies have been published that have used accelerometers to determine objective levels of exercise/physical activity. Some of the first to use triaxial devices (capable of measuring activity along 3 planes), which increase the sensitivity for recognising physical activity, are now appearing in scientific journals and thus give us a much more insightful picture into the role or impact of exercise and physical activity on mortality (see here).

Now you may be curious or wondering, what do these studies tell us about this relationship and is it any different to the Katzmarzyk et al. (2003) meta-analysis used by Holt-Lunstad in her above graph and cited by Pinker in her TED presentation?

Let’s take a look at some of the key findings from some of these accelerometer-based studies. In brief, Lee et al. (2017) found that there was a strong inverse association between overall volume of physical activity and all-cause mortality. In fact, the magnitude of risk reduction (≈60%–70%; comparing least to most active) was far larger than that estimated from meta-analyses of studies using self-reported PA (≈20%–30%). In the Dohrn et al. (2017) study, compared with the least sedentary participants (i.e. those with the highest levels of moderate-to-vigorous physical activity or MVPA), those in the most sedentary group had an increased risk of all-cause mortality, hazard ratio: 2.7, CVD mortality, hazard ratio: 5.5 and cancer mortality, hazard ratio: 4.3. These hazard ratios are substantial. Those that spent the most time in MVPA showed huge risk reductions for all-cause mortality (over 60%), CVD mortality (almost 90%) and cancer mortality (over 80%). Evenson et al. (2016) found that having higher accelerometer-assessed average counts per minute was associated with lower all-cause mortality risk. The adjusted hazard ratio was 0.37 for those most active when compared to those most inactive; a 63% risk reduction in mortality. Results were similar for CVD mortality.

What does this mean for the graph that Pinker used in her presentation that I have been discussing. In short, a lot. The influence and impact of exercise and physical activity on mortality is far stronger than many acknowledge or give credit. Based on more recent research that is able to accurately quantify levels of physical activity and exercise, particularly MVPA, much greater promotion, awareness and utilisation (and rightly so) should be placed on one of the most powerful ways of reducing your chances of premature death. Unfortunately, this TED talk by Susan Pinker cites what is arguably outdated 15-year old exercise data that diminishes and misconstrues – to a significantly large and impressionable audience – the very strong inverse relationship that exists between physical activity and mortality. This needs to be called out, so here you go, I am calling this out as loudly as I can.

The secret to living longer may be your social life
Exercise does truly reduce your chances of dying prematurely

  

NB. Whilst the above blog focused on the veracity of data used, and claims made for exercise in the discussed presentation, it remains to be seen as to whether the other predictors in the graph (excluding the social relationships data) are accurate and robust. I would therefore suggest that one should be mindful of this when watching this TED talk.


For local Townsville residents interested in FitGreyStrong’s Exercise Physiology services or exercise programs designed to improve physical fitness, health and quality of life or programs to enhance athletic performance, contact FitGreyStrong@outlook.com or phone 0499 846 955 for a confidential discussion.

For other Australian residents or oversees readers interested in our services, please see here.


Disclaimer: All contents of the FitGreyStrong website/blog are provided for information and education purposes only. Those interested in making changes to their exercise, lifestyle, dietary, supplement or medication regimens should consult a relevantly qualified and competent health care professional. Those who decide to apply or implement any of the information, advice, and/or recommendations on this website do so knowingly and at their own risk. The owner and any contributors to this site accept no responsibility or liability whatsoever for any harm caused, real or imagined, from the use or distribution of information found at FitGreyStrong. Please leave this site immediately if you, the reader, find any of these conditions not acceptable.
© FitGreyStrong

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FitGreyStrong turns 2

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Since the publication of the first FitGreyStrong blog ‘Sitting yourself into your grave‘ just over 2 years ago (click on the link or see the picture below), there have been a significant number of milestones and achievements that I would like to share with all of my followers.

 

Screenshot of the first FitGreyStrong blog

 

There are now over 20,000 followers inclusive of those that have interacted with the FitGreyStrong website and social media channels via Twitter, Facebook, Instagram, YouTube, Pinterest, Google+ and Tumblr.

The last 2 years have been very busy and productive. There have been several scientific critiques and analyses published as well as many blogs. These have been specifically directed at those amongst us who identify as Gen X or Baby Boomers and have primarily focused on health, fitness and nutrition-related topics or issues. The following provides a summary of the FitGreyStrong journey:

  • Over 30 blogs published on the FitGreyStrong website
  • Including the globally popular 10,000 word commentary on how diet affects energy expenditure and weight loss (see here and here)
  • How resistance training can affect the course of ageing (see here)
  • The perennial favourite “12 Reasons Why All Older Adults Need To Hit The Gym” (see here)
  • Nearly 1000 followers on Twitter and close to 8000 tweets
  • Over 800 Facebook posts
  • Close to 400 Instagram posts and;
  • 110 YouTube video’s

There have been some very popular FitGreyStrong blogs/posts/tweets/videos and I have listed a short assortment of these below.

Most popular blog

The most widely read blog with readers from over 20 countries investigates how strength training can alter the trajectory of ageing and reviews the seminal work of Maria Fiatarone and colleagues back in 1990 (see here).

Most popular Facebook posts

The top 3 most popular Facebook posts were:

  1. The sitting-rising test (SRT) that showed that the ability to sit down and stand back up again in a cross-legged position could predict the likelihood or risk of dying in the next 6 years. There have been over 100,000 views, 17 shares, 92 likes/loves and many comments (see here).
  2. Modifying the Thomas test for one of the best stretches for the quadriceps, iliacus & psoas major (iliopsoas). A great way to improve flexibility of these muscles and improve hip extension ROM. There were over 1,000 views, 5 shares, 26 likes/loves and comments (see here).
  3. The study was undertaken to elucidate the range of training-induced neuromuscular adaptations in elderly humans recovering from a period of disuse. It examined the effect of three types of training regimes after unilateral (one-leg) prolonged disuse and subsequent hip-replacement surgery on maximal muscle strength, rapid muscle force rate of force development, muscle activation, and muscle size. The popularity of the post was generated by the muscle scans of the thigh showing just how powerful resistance training is at inducing change in muscle structure and function. There were approximately 5000 views, 6 shares and 22 likes. It was also widely shared on other Facebook pages (see here).

Most popular Tweets

The top 3 most popular Tweets were:

  1. Age-related dynapenia is weakly related to sarcopenia and is why we must look beyond just muscle mass (see here).
  2. Motor effort training and low exercise intensity increases muscle strength and descending command in aging (see here).
  3. Counter to the energy surfeit model of obesity increasing energy expenditure may be better for decreasing percentage body fat than caloric restriction (see here).

Most popular YouTube video

A tractor tyre deadlift (see here).

Journal publication

Late last year the international journal, Clinical Nutrition, published a FitGreyStrong critique of: Thomson et al. (2016) Muscle strength gains during resistance exercise training are attenuated with soy compared with dairy or usual protein intake in older adults: A randomized controlled trial. Clinical Nutrition. 35: 27-33 thus demonstrating that Exercise Scientists practising outside of academia have relevant and valid things to say about clinical research being conducted around the world.

 

Clinical Nutrition publication

 

The highlight of 2017, however, was being given the opportunity to present Why the ‘strengthification’ of Gen X’ers & Baby Boomers is the greatest health challenge of the 21st century at the Ancestral Health Society of New Zealand conference in Queenstown in October where I postulated that muscular strength lies at the foundation of health, quality of life and functionality. The slide deck of this presentation can be viewed (by request only), so please either send me an email or use the contact form on the home page.

 

Presenting at the Ancestral Health Society of New Zealand

 

The future holds some exciting and challenging projects ahead so watch this space. Currently, FitGreyStrong is working on a journal editorial with some other researchers from around the world which will investigate and report on the importance of resistance training in older adults and the augmentative effects and safety of nutritional/drug supplementation.

Finally, I would like to express a big thank you to all those that have embraced FitGreyStrong and I hope to continue to bring quality information to all those Gen X’ers and Baby Boomers interested in advancing their health, quality of life and functionality.

Please share with those family and friends that are interested in ageing, health, exercise and wellness. The social media icons below will link it straight to your preferred platform.


Disclaimer: All contents of the FitGreyStrong website/blog are provided for information and education purposes only. Those interested in making changes to their exercise, lifestyle, dietary, supplement or medication regimens should consult a relevantly qualified and competent health care professional. Those who decide to apply or implement any of the information, advice, and/or recommendations on this website do so knowingly and at their own risk. The owner and any contributors to this site accept no responsibility or liability whatsoever for any harm caused, real or imagined, from the use or distribution of information found at FitGreyStrong. Please leave this site immediately if you, the reader, find any of these conditions not acceptable.
© FitGreyStrong

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Dose-Response Relationships Of Resistance Training In Healthy Old Adults: The Inter-Set Rest Period

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There has been a significant amount of research conducted and published recently that seeks to better understand the precise resistance training parameters required to maximise muscle strength and morphology in healthy old adults. This has been driven largely by the growing acknowledgment and concern related to the process of sacropenia that occurs with ageing whereby muscle mass, strength and functional capacity decline. Both the practical and clinical implications of this are far reaching for each individual affected, but have far wider social, economic and political ramifications regarding future health care policy in relation to the ageing population. Of the many interventions explored, resistance training has been shown to rapidly improve various aspects of muscle morphology and function. In fact, results of studies looking at this form of exercise suggest that most, if not all adults over the course of their lifespan, should indulge in regular, challenging resistance training.

Sarcopenia, resistance training, strength, older adult
Resistance training facilitates rapid improvements in muscle strength and function

The rest between each set of repetitions performed during a resistance training session – known as the inter-set rest period – is something that has been recently explored. Attempts to discover the optimal inter-set rest period of time to maximise the effectiveness of a training program continues, but so far consensus has been difficult to establish. Results from studies (see below) conducted in healthy old untrained men compared to young resistance-trained men produced completely opposite conclusions with shorter 1-minute rests augmenting strength and hypertrophy better in the former group but longer 3-minute rests working better for the latter group. The question arises, how is this possible? At face value, these results suggest that resistive exercise adaptations may be training-status and/or age-specific.

I recently emailed the authors of these papers to canvass some of the possible methodological confounders that may have influenced the results by skewing them in favour of one group over another. Given that such research often informs future recommendations regarding best practice when designing resistance training programs, any possible confounders affecting the results need to be highlighted. Robust discussion is required in an effort to further strengthen and validate the conclusions of these studies so that bodies like National Strength and Conditioning Association (NSCA) can make accurate and evidence-based recommendations.

The following analysis is a summary of the email I sent to the authors for comment. Unfortunately, I did not receive any feedback which was pretty disappointing. The 2 key papers are (with full citation at the end):

“Dose-response relationships of resistance training in healthy old adults: A systematic review and meta-analysis”

“Short rest interval lengths between sets optimally enhance body composition and performance with 8 weeks of strength resistance training in older men”

COMMENT: Whilst I am open to the possibility that shorter interset rest periods could potentially lead to greater muscular strength and hypertrophic adaptations in untrained healthy older men, I am also trying to reconcile results of another recently published paper by Schoenfeld and colleagues titled “Longer inter-set rest periods enhance muscle strength and hypertrophy in resistance-trained men” that found the direct opposite. Perhaps this is not so surprising if most of the decline in skeletal muscle mass with ageing, as shown by Nilwik et al (2013) a few years ago, results almost exclusively from atrophy of type II muscle fibres. Taken together these divergent results would suggest that resistive exercise adaptations may be training-status and/or age specific.

Shorter inter-set rest periods for resistance training in older adults
Are shorter inter-set rest periods better?

I have not come across any discussion or research so far that has attempted to correlate the relationship of the effectiveness of shorter or longer interset rest periods with the observed selective atrophy of type II muscle fibres which has been shown to occur in untrained older men. It would be interesting to see if the disproportionate representation of slow twitch muscle fibres in untrained older men somehow decreases the effectiveness of longer interset rest periods.

My proposition, however, is this. The key finding – that a shorter interset rest period was found to be superior – could have been confounded by:

  • The testing protocol utilised and;
  • A small group of participants reducing the power to detect whether significant differences exist in true baseline training status and “responsiveness” to training during week 0 to week 4 of the matched groups.

I should point out that the statistical analysis as it stands doesn’t support my comments so please bear this in mind.

The variables and areas that I would like to focus on and discuss are:

  1. The testing protocol utilised to assess 1-RM performance.
  2. Age differences found and whether age was adjusted for all phases.
  3. Baseline Margaria stair-climbing power.
  4. The rate and percentage improvement differences found for Bilateral Leg Press 1RM (kg) week 0 to week 4 when all subjects were doing the same program during Mesocycle I.
  5. The rate and percentage improvement differences from week 0 to week 4 for the walking test when all subjects were doing the same program during Mesocycle I.
  6. Some statistical and data anomalies that I couldn’t make sense of.

For the remainder of the article I will use SS to refer to short inter-set rest periods and SL will refer to longer inter-set rest periods.

After reading through the testing protocol used to assess 1-RM performance it seems to me that this unfairly advantages the SS group. The strength training phase for the SS group from week 4 to 12 used 1-minute interset rest periods whilst the SL group used 4 minutes. With the testing protocol using 1-2 minute rests between 1-RM attempts the SS group would have been far better adapted both physically and mentally to perform maximally for this testing protocol because their training closely resembled testing procedures. Maybe some of the testing should have included 4-minute rests between 1-RM attempts to control for this. As it stands, the methodological approach taken for this study could have produced significantly greater 1-RM strength testing outcomes in the SS group.

Ironically, the study by Schoenfeld and co. (younger trained men) found that longer rests (3-minutes) were superior to shorter (1-minute) for strength and hypertrophy gains. But once again the results may have been skewed because the testing protocol more closely matched the longer rest period group where they used 3-5 minute rest periods during testing.

During Mesocycle II an 8 week strength training phase was completed where only the interset rest period differed. This phase was adjusted for values at week -4 and 0, as well as age. During Mesocycle I, a 4 week high-volume, moderate-intensity hypertrophic training phase was followed by all participants. After adjusting for values at week -4 results showed all subjects significantly improved in training and testing parameters. However, I’m wondering if age was adjusted for during Mesocycle I as there is no reference that this was done in the results described for this phase on p.301.

At baseline most variables in Table 1 page 297 show that there were no significant differences between the SS and SL groups. The variable that caught my eye that I found interesting was Margaria stair-climbing power (W) with a trend toward a significant difference (p=0.07) in favour of SS. Whilst not reaching p<0.05 level, the 26.6% greater power achieved for the week 0 Margaria test in the SS vs. SL group is fairly large by any measure. This test would be the best indicator of lower body power and would also be the most challenging in terms of motor pattern complexity thus making it perhaps the most sensitive in determining baseline group differences in training status compared to the other variables measured. By extension, if we assume that there was perhaps some sort of training status difference at baseline between SS vs SL, the overall improvements from training would be skewed in favour of the SS group.

Muscle hypertrophy in older adults
What’s the best way to increase muscle mass with ageing?

During Mesocycle I all subjects performed the same training program. Results showed that following this phase of training, the 2 treatment groups were comparable for most variables apart from the narrow/neutral lat pulldown and some of the SEBT tests. The significant difference found for the pulldown is surprising with an increase in the SS group from 336.2 kg to 380.2 kg (+13.1% increase over baseline) vs SL from 299.4 kg to 339.9 kg (+13.5% increase over baseline).

In relation to the Bilateral leg press 1-RM (kg) baseline values for SS vs SL were 224.0 kg and 215.3 kg, respectively, increasing to 327.9 kg and 278.7 kg at week 4. The average absolute increase in kilograms lifted for 1-RM were thus 103.9 kg for SS and 63.4 kg for SL. So a baseline difference of 8.7 kg increased to 40.5 kg by week 4. Figure 1b for the Leg Press is quite telling too for the week 0 to week 4 period. The improvement of the SS group compared to the SL group during Mesocycle I is visually very noticeable with the gradient of improvement of the SS group much steeper than the SL group.

In relation to the 400-meter walking test baseline values for SS vs SL were 182.8 and 187.2 seconds, respectively, decreasing to 164.6 and 176.3 seconds after 4 weeks training. Absolute decreases in time taken to perform the walking test were therefore 18.2 seconds for SS and 10.9 seconds for SL. This comparison I think is illustrated even better if both groups are compared for the distance differential after completion of this test. At baseline, the SS group would have finished 9.4 metres in front of the SL group. After 4 weeks of Mesocycle I training the SS group would have finished 26.5 metres in front of the SL group.

These testing results seen over Mesocycle I are pretty decent and if observed in a field situation would constitute a difference in training responsiveness.

For the Margaria stair-climbing power test the week 12 data as presented in Figure 3b has to be either a mistake or a misprint. In table 2 the SD for this test at week 12 was 1117.3 W compared to what appears to be almost 2300 W in figure 3.

SUMMARY: The single biggest issue with the finding that shorter 1-minute rests augment strength better in older untrained men, is that the testing protocol utilised a short rest period between maximal efforts thereby favouring the group that trained in this fashion.

Possible baseline differences in lower body power and differences in training “responsiveness” during the first Mesocycle phase are other potential issues that I would have liked investigated or explored further.

References

Borde, R., Hortobágyi, T. and Granacher, U. (2015) “Dose-response relationships of resistance training in healthy old adults: A systematic review and meta-analysis” Sports Med. 45: 1693-1720

Nilwik, R. et al. (2013) “The decline in skeletal muscle mass with aging is mainly attributed to a reduction of type II muscle fiber size” Experimental Gerontology. 48: 492-498.

Schoenfeld, B.J. et al. (2015) “Longer inter-set rest periods enhance muscle strength and hypertrophy in resistance-trained men” The Journal of Strength and Conditioning Research. November http://www.researchgate.net/publication/284711582

Villanueva, M.G., Lane, C.J. and Schroeder, E.T. (2015) “Short rest interval lengths between sets optimally enhance body composition and performance with 8 weeks of strength resistance training in older men” Eur J Appl Physiol. 115: 295-308.

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Why Calories Remain Pivotal For Fat Loss

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FitGreyStrong fact: Weight gain occurs when total caloric daily consumption exceeds total daily energy expenditure. To achieve weight or fat loss there must be an energy or caloric deficit. Over 80 years of scientific research has confirmed this to be fact.

FitGreyStrong AdviceDon’t believe the hype. Food quality is a must and essential to good health. However, weight or fat loss will not be realised no matter how good your diet is unless an energy deficit exists. Increased total physical activity during all waking hours and an energy-deficit diet that is wholesome, natural, minimally-processed and nutrient-dense will provide a significant opportunity for weight loss to be achieved.

I’m going to make a confession. I have laboured over the last month to write this blog. I’ve spent hour upon hour trying my best to explain what I think is a simple concept. The strangest thing is the evidence published so far is conclusive but with so much shit floating around anyone looking to lose a few kilo’s in the New Year is faced with a major challenge. What info is good and what is bad? How does one decipher what advice to act on and what advice to send to the computer’s recycle bin?

As I explained recently the media and ‘rogue’ researchers have, in some ways, muddied the weight loss debate by promoting the idea that exercise doesn’t help (see here). There are many examples of the media misleading consumers by sensationalising material that has been poorly researched, lacks objectivity and obfuscates the facts.

Ironically, it is this type of questionable and controversial material that gains the most traction with the public. The confusion created by such reporting has had a truly dreadful impact on the public’s perception regarding the role of exercise for weight loss. Many health care professionals working in the field have also raised serious concerns about this too because there is the feeling that some people may simply avoid physical activity altogether.

Notwithstanding that compensatory mechanisms mitigate the efficacy of exercise in some people (see here), widespread consensus remains elusive regarding the very basic underpinnings of weight loss. It seems incredible in fact that in the year 2016 vigorous debate and disagreement continues to swirl. However, I believe that the writing was on the wall when Generation X’s were still kids. There was sufficient scientific research carried out from the 1930s to the 1980s to put to bed and move on from some of the most hotly contested questions relevant to weight loss. The two questions which continue to inspire fierce debate are:

1. Do calories really matter?

2. Is weight loss simply a matter of expending more energy than you consume?

Before outlining what the specific focus of this blog is I need to digress. I want to make clear that it is not my intention here to assess whether manipulating the macronutrient makeup of the diet – e.g. high fat versus high carb diets – yields superior benefits on metabolic outcomes such as fasting blood glucose or lipid profile. Of course, this is a very important question to address but I’ll have bitten off way more than I can chew to do this justice, so I’ll come back to this another time.

The only thing I will say is that the actual published research is mixed. Three meta-analyses and systematic reviews have been completed over the last 18 months assessing whether metabolic outcomes are affected by manipulating macronutrient composition. Two of the these (see here and here) concluded that there were no differences on metabolic outcomes when the protein, carbohydrate and fat composition of the diet was varied; whilst the other paper (see here) suggested the opposite stating that dietary manipulation did alter metabolic outcomes.

Ok, let’s get back to what the focus of this blog is then.

inactivity and fat gain
Is obesity a disease?

The aim of the following is to shine a spotlight on and explore the mechanistic aspect of weight loss. You may be wondering…………. what the bloody hell does that mean? What I mean by ‘mechanistic’ is the basic physiological state required – in our species, Homo sapiens – to bring about weight loss.

To state this as simply as possible, when it comes to weight loss the single most important factor from a physiological perspective is that there exists an energy or caloric deficit. Eighty-five years of scientific research and investigation has demonstrated without equivocation that for weight loss to occur an energy deficit must exist. Total daily energy expenditure has to exceed total daily energy intake for any reduction in body mass to occur or vice versa for any increase to occur. Regardless of one’s age, race or gender this holds true. This really is the only conclusion you can draw if you actually read the studies that have been published in reputable peer-reviewed medical journals relevant to this area (see here).

Now some of you may disagree with me on this and you are not alone. Unfortunately, in my view, there are a number of dissenting voices from a variety of quarters that simply don’t believe this to be true. They passionately dispute this and contend that the total energy provided by the diet matters very little. What really counts is the metabolic effect food has on our body. An example of this type of thinking can be found here.

Supporters of such thinking, decouple weight loss and calories. They propose that the “metabolic propensity” to increase and store fat in the adipose cells is driven primarily by the quality of the foodstuffs ingested and the proportion of protein, carbohydrates and fat in the diet. “A calorie is not a calorie” because different foods of different qualities have different effects on our digestion, hormones, biochemistry, metabolism, thermogenesis, physiology and associated internal feedback loops.

Whilst the total energy or calorie content of food matters, what is significantly more important is the metabolic effect that food has on our body. All calories are not created equal, therefore, with the quality and type of food choices made and the subsequent metabolic effect that such choices have on our body ultimately determining if fat loss is successful or not.

The most significant and telling problem with this line of thinking is that there are virtually no respected and acknowledged researchers who believe it. I see this as a telltale sign that the dissenters are simply barking up the wrong tree. Virtually all leading obesity experts worldwide concur that unless there is an energy deficit, decreases to weight or fat mass are not possible irrespective of how good the diet is. The question needs to be asked, why is this the case?

FitGreyStrong’s take-home message to you up to this point is:

Unless you expend more than you take-in you ain’t going to see any changes to your weight or fat.

Weight training for fat loss
Resistance and weight training shows great promise to maximise fat loss

 

 

 

 

 

 

 

 

 

 


There exists consensus amongst nearly all scientists because of the following. Research undertaken with participants confined to an in-patient hospital setting or in facilities known as metabolic units are currently the most accurate way to scientifically determine the specific energy requirements needed for weight change. Such studies are usually expensive because they are very resource and equipment intensive. However, what they allow researchers to do is measure what is being consumed (energy in) and what is being expended (energy out) quite precisely – or at least, a lot more precisely than studies that involve free-living subjects.

In brief, the methodology of such studies looks something like this:

  • For the duration of the trial subjects have to remain in the hospital or unit.
  • Participants of these studies are allocated and given all consumables (food and drink) for the duration of the intervention.
  • The caloric content of what is consumed is a known entity and has been prepared and accurately measured.
  • The macronutrient percentages of the diet for protein, carbs and fat has been determined.
  • Physical activity is closely monitored, measured and accounted for.
  • Resting energy expenditure (REE) and total daily energy expenditure (TDEE) is estimated as accurately as possible based on the equipment utilised and methods employed in the study.

With energy intake and energy expenditure measured as close to actual as possible, investigators can now establish whether the prerequisite for weight loss is an energy deficit. Over the last 80 years or so there have been over 20 studies carried out that have assessed the effect of calorie and macronutrient manipulation on weight loss whilst in the strict confines of hospital or metabolic unit.

Evaluation of such research has shown that no major differences have been found for weight or fat loss when diets of different macronutrient composition but with the same amount of energy (i.e. isoenergetic diets) were compared. Results from these studies show beyond dispute that the key determinant for decreased weight is a caloric or energy deficit, not diet composition.

To look at the evidence another way, not one of these trials – not even one – has ever demonstrated an increase in body weight when daily energy intake is less than daily energy expenditure. Likewise, no such study has ever shown a decrease in body weight when daily energy intake exceeds daily energy expenditure. This remains so irrespective of the macronutrient breakdown.

To give you a taste of the studies that have incorporated some of the methods referred to above, let’s take a quick look at a few of these:

Study 1 – Graves and colleagues conducted a randomized trial comparing an energy-restricted high-protein versus high-carbohydrate, low-fat diet in the morbidly obese which was published in the Obesity Journal (see here). Eighty-eight obese participants (mean age, 46.7; mean BMI, 45.6 kg m squared) were enrolled in a 3-week inpatient and 48-week outpatient treatment. The study was novel in that it included cognitive behaviour therapy in the treatment. All subjects consumed a restricted diet (1,200 kcal/day for women, 1,500 kcal/day for men; 20% energy from fat, <10% saturated fat). The high-protein diet derived 34% energy from proteins, 46% from carbohydrates; the high carb diet derived 17% from proteins, 64% from carbohydrates. The primary outcome was 1-year percent weight loss and secondary outcomes were attrition rates, changes in cardiovascular risk factors and psychological profile. The three week in-patient period closely monitored and provided all food with the total energy content and macronutrient composition known.

No difference in BMI or weight reduction was detected for this period between each diet.

The authors concluded (pg.1774) that:

the relative carbohydrate and protein content of the diet, when combined with intensive CBT, does not significantly affect attrition rate, weight loss and psychosocial outcome in patients with severe obesity”.

Study 2 – Golay and co-workers compared diets equally low in energy (1000 kcal) but widely different in relative amounts of fat and carbs on body weight reduction in 43 obese adults during a 6-week period of hospitalisation (see here). The diets were composed of 32% protein, 15% carb and 53% fat versus 29% protein, 45% carb and 26% fat. The first diet could be described quite well as a low-carb, high-fat diet and the second diet as a more balanced diet. After 6 weeks no significant differences were seen for weight loss, fat loss or waist-to-hip circumference. Energy intake, not nutrient composition, determined weight loss in response to low-energy diets.

Study 3 – Leibel and co-workers established in 1992 that even during very wide variations in the fat-to-carbohydrate ratio (fat energy varied from 0% to 70% of total intake) there was no significant variation in energy need and changes in body weight (see here). Sixteen human subjects were confined to a metabolic ward for an average of 33 days and fed precisely known liquid diets with protein derived from milk and fat varied from different amounts of corn oil. Total energy intake, not diet composition was once again the key determinant in modulating energy balance.

I could continue and summarise the other studies published but the overall findings are much the same as that described above. For a more extensive review of these type of studies please see here.

Confusion around this topic, I think, has been created by other research and weight loss trials that don’t take place in the confines of a hospital or metabolic unit, but rather use free-living subjects. These studies cannot accurately quantify energy intake and expenditure and they are hence plagued by problems.

Firstly, participants often have to record or attempt to recall what they ate and drank. It probably doesn’t surprise you then that this has been shown to be notoriously inaccurate. Even those studies that provide free-living subjects with their allotment of food and drink can’t completely prevent or control for individuals eating or not eating the food on their assigned ‘menu’. Secondly, energy expenditure is estimated via physical activity logs, diaries, pedometers or fancy equipment like activPAL (see here). Consequently, energy expenditure can often be under- or over-estimated so such data can be terrible misleading. To state the obvious, deriving definitive results and conclusions from these types of studies is going to be challenging.

In spite of the caveats mentioned above, the results from the many studies using free-living subjects concurs with the hospitalisation and metabolic unit studies. Two meta-analyses and systematic reviews published in 2014 and 2015 concluded the same thing:

Both types of macronutrient-centered weight loss diets produced weight loss. Manipulation of macronutrient composition of weight loss diets does not appear to be associated with significantly different weight loss or metabolic outcomes.”

The massive 2014 review by Naude and colleagues (see here) assessed 228 studies making it one of the largest meta-analyses and systematic reviews available. Provided one reads and reviews such research with an objective and impartial mind it is implausible to reach any other conclusion.

A final comment: The one thing that I believe provides the biggest hint that total calories are indeed fundamental to weight loss is something that is noticeable in the methodology of the more scientifically robust studies. Of the research that has taken place in a hospital or metabolic unit setting there is one key characteristic that most of these studies determine before proceeding to the weight loss phase of the trial. Can you guess what it is? Researchers establish energy requirements (i.e. total daily caloric intake) for weight maintenance over a period of 1 to 2 weeks (see here). If for arguments sake, calories were not important for inducing weight loss, then establishing energy requirements for weight maintenance in these studies would be a pointless exercise.

Before I finish up I need to make some clarifying comments.

1. Those that make the claim that calories are not important in relation to the obesity problem or when trying to decrease body fat are doing, I think, either one of two things. They are ignoring the data produced from hospital/metabolic unit-based studies and/or they are misinterpreting and taking at face value the results of research conducted with free-living subjects.

2. There will be those that read this and conclude that what I am advocating or all that I think matters is calories, with diet quality just a cursory concern. I can hear some of you saying right now “….but surely 2500 calories of jelly beans or junk food is different to 2500 calories of atlantic salmon, walnuts, broccoli and berries.” Really? Well, yes, of course it is, thanks for pointing that out. A diet consisting of wholesome, natural, minimally processed and nutrient-dense foods is paramount to ensuring good health. I should state now that I am not suggesting for one moment that the quality of the diet is not important.

Fruits and vegetables are essential to health
Food quality is key for health and weight management

3. Irrespective of how good a diet is in optimising the metabolic effect on your body, the fact remains nonetheless that it is still possible to gain weight eating a wholesome, natural, minimally processed and nutrient-dense diet. It is probably more difficult to do so, but regardless, you cannot escape the fact that you have to be in a consistent calorie deficit to lose fat or a chronic caloric surplus to gain fat.

Links to references 

  1. http://bit.ly/22Wq3IV
  2. http://bit.ly/1PRrWiR
  3. http://bit.ly/1neiOve
  4. http://bit.ly/1RI0XIp
  5. http://1.usa.gov/1OMkAhz
  6. http://bit.ly/1JGSkg7
  7. http://1.usa.gov/1RI6xur
  8. http://1.usa.gov/1RyArDb
  9. http://1.usa.gov/1ZoMwyV
  10. http://bit.ly/1W1WLUA
  11. http://bit.ly/1OnGFPO
  12. http://bit.ly/1SJohX1
  13. http://bit.ly/1Omdz3o
  14. http://bit.ly/1Omc9WJ

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