Showing posts with label between. Show all posts
Showing posts with label between. Show all posts

Monday, April 4, 2016

Alternate vs Classic Resistance Training Can You Bench in Between Your Squat Sets Still Make Fabulous Gains

What now? Wait 3 minutes or off to the bench for an alternate set of bench presses or pulls ?
Traditional strength training with 80% of one-repetition maximum (1RM) utilizes 2- to 5-minute rest periods between sets. These long rest periods minimize decreases in volume and intensity, but result in long workouts. Performing upper-body exercises during lower-body rest intervals may decrease workout duration, but may affect workout performance.

The above is how Anthony B. Ciccone, Lee E. Brown, Jared W. Coburn, Andrew J. Galpin kick off their latest paper in the venerable Journal of Strength and Conditioning Research (Publish Ahead of Print).
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The purpose of the corresponding study was to compare the effects of traditional to those of alternating whole body strength training on squat performance. To this ends, Ciccone et al. recruites 20 youn men, who had to perform two workouts:
  • The traditional set workout (TS) consisted of four sets of squats at 80% of 1RM on a force plate with 3-minutes rest between sets. 
  • The alternating set workout (AS) also consisted of four sets of squats at 80% of 1RM but with bench press, and bench pull exercises performed between squat sets 1, 2 & 3 with between-exercise rest of 50 seconds, resulting in approximately 3-minutes rest between squat sets. 
For both workouts, sets 1-3 were performed for four repetitions, while set four was performed to concentric failure. The total number of completed repetitions, the peak ground reaction force (GRF), peak power, (PP), and average power (AP) of every squat repetition were recorded and averaged for each set.
Figure 1: Maximal # of reps on last set and average power in the classic vs. alternating condition (Ciccone. 2014)
Interestingly, there was no significant interaction for GRF, PP, or AP. Only, the volume-equated AP was ca. 5% greater during the TS condition (989 ± 183) than the AS condition (937 ± 176). A more pronounced difference which was yet still within the margin of one standard deviation (in this case 2.2. reps) was observed for the fourth squat set to failure, where the TS condition resulted in 15% more reps to failure (7.5 ± 2.2) than the AS condition (6.5 ± 2.2). Reason enough for Ciccone et al. to suggest that:
  1. Individuals who aim to optimize squat AP should refrain from performing more than three AS sets per exercise.
  2. Those who aim to maximize squat repetitions to failure should refrain from performing upper body multi-joint exercises during squat rest intervals.
Certainly a sound advice, but in the end, we all live in a world where time is a precious gem and some people give a fuck about average power and the number of reps until they fail.
Bottom line: The number of trainees I know whose interest in (1) average power and (2) maximal repetitions to failure exceeds their drive to improve their physiques is... well, lets say its not exactly high. In view of the fact that the study at hand does not provide any relevant information about a potential decrement in muscle gains due to alternate training and considering the fact that I dont need a study to tell you that the shorter rest times in-between sets and the incorporation of bench press and bench pull is going to help you shed that belly of yours, the majority of trainees, I know will still be better off training according to AS, i.e. with alternate exercises in-between the sets and 50s instead of 3 minutes rest between sets.

Figure 2: Changes in right leg 1RM during the experimental 6-month strength-training period in both groups and the relative changes after the short rest (SR) and long rest (LR) training periods (Ahtianen. 2005).
Ah, I almost forget, four of the subjects actually increased the number of reps they performed in the alternate condition - and the standard deviation for the average power is larger than the difference between the two conditions. If you still insist that 3-min of rest are necessary you may be interested to hear that shorter rest periods are (a) consistently associated with increased GH release (de Salles. 2009) and (b) previous studies comparing short (2 min) vs. long (5 min) rest times have shown increased size gains (Figure 2) even in a non-alternating scenario (Ahtianen. 2005) - the conclusion that longer rest times lead to higher gains, cause you can lift more weight / do more reps is thus obviously unwarranted.
References:
  • Ahtianen, Juha P., et al. "Short vs. long rest period between the sets in hypertrophic resistance training: influence on muscle strength, size, and hormonal adaptations in trained men." The Journal of Strength & Conditioning Research 19.3 (2005): 572-582.
  • Ciccone AB, et al. "Effects of Traditional Versus Alternating Whole-body Strength Training on Squat Performance." J Strength Cond Res. (2014) Jun 17. Ahead of print.
  • de Salles, Belmiro Freitas, et al. "Rest interval between sets in strength training." Sports Medicine 39.9 (2009): 765-777.


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Friday, March 11, 2016

Scientists Probe the Interaction Between Saturated and Unsaturated High Fat Diets and Their Corresponding Carbohydrate Sources Cornstarch vs Fructose

This add is a perfect example of how saturated fat, in this case lard has always been blamed for the "lard" on ones hips.
Any hypothesis that tries to blame for our "fat misery" on a single nutrient is short-sighted. After years of fat-bashing, carbophobia and fructose hating in the course of which the situation progressively, we are now seeing the first studies which investigate what the Polish researchers, Adam Jurgo?ski, Jerzy Ju?kiewicz and Zenon Zdu?czyk from the Institute of Animal Reproduction and Food Research at the Polish Academy of  Sciences call the "biological interactions among these dietary factors" in their latest paper in the peer-reviewed open-source journal Nutrients (Jurgo?ski. 2014).

With the publication of the data of a their latest rodent study, the scientists have already taken the first step to a new, an "interactionist" perspective on the obesogenic effects of saturated vs.unsaturated and simple vs.complex carbohydrates and their interaction with another previously overlooked factor that has gotten quite some attention in the past months: The gut and its inhabitants.

Goodbye! Nutritional scapegoatism 

It goes without saying that this model study is nothing but a first step on a long road we still have to travel, but the differential effects the four diets (see Table 1)...
  • Table 1: Composition of the diets.
    the soybean powered high cornstarch diet (OS),
  • the lard-laden high cornstarch diet (LS), 
  • the soybean-powered high fructose diet (OF), and
  • the lard-laden high fructose diet (LF)
...had on the health, caecal short-chain fatty acid concentrations, cholesterol and triglyceride levels are revealing, to say the least.
World premiere! I know it sounds hilarious, but this is actually the first study I have seen that focused on nutrient interactions, instead of individual (macro-)nutrients in diets that are not even suitable to isolate the effects of the nutrient of interest - most prominent example the "high fat diet"  which is high in fat (45% of the energy is the standard; there are yet also "high fat" diets with only 32% of the total energy from fat; Gajda. 2008) but leaves enough room for carbohydrates to complement, some would say "trigger" the obesogenic effects by providing a pro-insulinogenic stimulus that will blunt the oxidation of the dietary fat and help drive it into the cells.
If you take a closer look at the actual study outcomes, you will see that the answer(s) the study provides are about as complex as its design.

In contrast to the dietary fat which had no independent effect on any of the measured markers of gut function, the carbohydrate source, i.e. cornstarch vs. fructose lead to significant differences in total small intestinal mass, mean pH of the ileal digesta and the mucosal activity of sucrase, all of which were increase on the high fructose diet.
Figure 1: Serum lipid levels of the rodents after 4 weeks on obesogenic diets containing different forms of dietary fat and carbohydrate (Jurgo?ski. 2014)
Interactive effects were observed for the mass of the cecum itself (the tissue) and the digesta with opposing effects of fructose on when it was administered in conjunction with lard (reductions) vs. soybean oil (increases in cecum mass). Slightly different effects were observed for the short-chain fatty acid composition (SCFA):
"Both the dietary fats and carbohydrates contributed to changes in the total SCFA concentration in the caecal digesta of rats (p < 0.05 and < 0 0.001, respectively). The highest total SCFA concentration was in group LS, while group OS had a significantly lower concentration (p ?0.05). Similarly, the acetate concentration in the caecal digesta was influenced both by dietary fats and carbohydrates (p < 0.05 and p < 0.001, respectively) with a similar span of differences among particular groups (p ?0.05). The type of dietary carbohydrate had significant influence on the propionate and isobutyrate concentrations in the caecal digesta (p < 0.001 and p < 0.05, respectively); however, both dietary factors had an interactive effect on their concentrations (p < 0.05). The highest propionate concentration was observed in the LS and OS group, whereas significantly lower concentration was found in the OF group. The lowest isobutyrate concentration was in group OF and it was significantly higher in group OS (p ?0.05)." (Jurgo?ski. 2014)
The serum lipid profiles were influenced by both, the types of fats and carbohydrates as shown in Figure 1. Whats particularly striking, here, is the nasty effects of a combined lard + fructose feeding on the triglyceride levels.

A similar fat-dependence as for the fructose induced triglyceride boost can be observed for the levels of total and HDL cholesterol, which were increased only by the combination of fructose + saturated fat. In the rodents that received soybean oil with their coke, ... ah, I mean with their fructose, the researchers observed the exact opposite trend and a 5x lower yet similarly increased artherosclerosis risk (as evidenced by the 5x higher atherogenic index).
Suppversity Suggested Read: "EGGS - A Four-Letter Food Improves Both Cholesterol Particle & Phospholipid Profile + HDL-Driven Lipid Reverse-Transport" | read more
The results are still difficult to place. The complementary increases in total and HDL cholesterol in the lard + fructose group for example could be interpreted as unproblematic in view of the contemporary social media trend to depict high cholesterol as absolutely irrelevant. In view of the concomitant 2.3x increase in the ratio of triglycerides to HDL-cholesterol, of which we do know for sure that it predicts extensive coronary disease (Luz. 2008), it is still warranted to conclude that the combination of fructose and saturated fats is even worse than the combination of a high fructose intake with unsaturated fats, which had almost no effect on the triglycerides to HDL ratio and left the rodents in the corresponding group with a trig:HDL ratio what was >2.5x lower than that of the lard + fructose rodents.

Yes, I know - thats only rodent data, there is no information on body weight, or the gut microbiome and even the impact on glucose metabolism wasnt measured (you can predict from the triglyceride levels, though, that the animals lard + fructose diet had the lowest insulin sensitivity), the reason I still spent a whole article on this paper is that this is the kind of study, wed need if we actually want to understand "why we are fat" from the inexplicably popular (macro-)nutrient perspective... I mean, lets be honest: On the level of food items, the complexity is not a problem and we all know the food items that propel the obesity epidemic, dont we?
References:
  • Gajda, Angela M. "High fat diets for diet-induced obesity models." A Report for Open Source Diets (2008).


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Monday, February 29, 2016

Study Puts Behind Beneficial Health Effects of Veggies! Is There No Correlation Between Antioxidant Content Beneficial Health Effects of Cucumber Lotus Rape!

Dont obsess about "optimal" antioxidant contents, just eat your veggies!
Over the past couple of weeks, ... no actually over the past years I have repeatedly written about the concept of (mito-)hormesis and its consequences for the well-established, but not necessarily accurate free radical theory of aging (and for some people everything else). ROS, i.e. reactive oxygen species, have been established as an important signalling molecule that is - among other things - heavily involved in the insulin sensitizing effects of exercise. "Inflammation" makes muscles grow and burns body fat and the "what doesnt kill me makes me strong" principle appears to reign everywhere you look.
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That being said, the latest study from the Institute of Health and Environmental Medicine in Tianjin, China, opens another "anti-antioxidant" Box of Pandora. One that puts a huge questionmark behind the implications of hundreds of thousands of scientific studies, when it says in its title, already: "No correlation is found for vegetables between antioxidant capacity and potential benefits in improving antioxidant function in aged rats"

"Skin of Grape Tomatoes Contains Max. Amount of Antioxidants" - You can find this and dozens of other daily updated SuppVersity Science News on www.facebook.com/SuppVersity
This is a title that may in fact change the way we look at study results like those of a recent study by Valdez-Morales, et al. (2014) investigating the "best" = highest antioxidant tomato, the results of which you are about to find among the ~20/day SuppVersity Facebook News @ www.facebook.com/SuppVersity - dont forget to like it, or youll miss out on the latest science news!

If the results of the study can be confirmed by an independent team for vegetables other than lotus root, rape or cucumber and if there is an identical mismatch between the in-vivo anti-oxidant capacity and the potential benefits in improving antioxidant function in (aged) humans.

This would be big and highly consequential news for nutrition experts, scientists and average Joes and Janes like you and me. Why? Well,...
  • any ranking of "superfoods" that was based even partly on in vitro data derived with the good old ferric reducing antioxidant power (FRAP) assay would be invalid, ...
  • every scientist who has been following up on "promising" data from FRAP assays would have been wasting his time, ...
  • and you may have been eating all the wrong foods for years...
... hell no, as long as you ate your veggies over the past years, I wouldnt worry if you may have made a "suboptimal" selection (which would be different based on whatever new criteria you select).
Figure 1: FRAP value, vitamin C and vitamin E content and total amount phenolics in the powdered vegetables that were added to the rodent diets in the study at hand (Ji. 2014)
Honestly, Id hope that you didnt select your foods only based on the orthorexic principle of maximal antioxidant content, anyways. 

Never forget the three principles of veggie eating: Variety, seasonality, colorfulness

Against that background Id recommend you keep eating your lotus roots, if you like them, although, they have a significantly lower beneficial effect on SuperOxide Dismutase (SOD, a group of antioxidant enzymes) than rape and cucumber.
Figure 2: Serum markers of anti-oxidant status / oxidative damage after 6 weeks on the three experimental diets (Ji. 2014)
Moreover, if you look closely at the data in Figure 1+2, you will realize that lotus may suck at SOD and its ability to reduce hemolysis (the destruction of red blood cells), but will have the most profound beneficial effects on the levels of malondealdehyde (MDA), a marker of lipid oxidation, and the amount of plasma carbonyls, which have - just as in cellular regulation, aging, and disease (Levine. 2002). Just like their similarly radical cousins, carbonyls will thus play a dual role so that in the end, their reduction may not be beneficial in each and every case.
Figure 3: Blood mononuclear cell DNA damage expressed as total injury rate (%) and total tails low (% of all) in male Wistar rats on control and experimental diets (Ji. 2014)
The Take Away: Whatever the role of carbonyls, MDA & co may be and no matter what you believe which of the three tested vegetables may be the "best" one, if there is one definite message you can take home from todays SuppVersity article, its not to overly rely on the abstract data from chemical tests the reliability of which appears to be inversely proportional to their accuracy.

Trust your instincts and go for a broad variety of vegetables. Eat seasonal! Eat colorful! And most importantly eat plenty. Optimal or not, none of the vegetables in the study at hand would harm you - all of them would help you defy diabesity and slow the aging process as best mother nature allows.
Reference: 
  • Ji, Linlin, et al. "No correlation is found for vegetables between antioxidant capacity and potential benefits in improving antioxidant function in aged rats." Journal of Clinical Biochemistry and Nutrition 54.3 (2014): 198-203.
  • Levine, Rodney L. "Carbonyl modified proteins in cellular regulation, aging, and disease2, 3." Free Radical Biology and Medicine 32.9 (2002): 790-796.
  • Valdez-Morales, Maribel, et al. "Phenolic content, and antioxidant and antimutagenic activities in tomato peel and seeds, and tomato by-products." Journal of Agricultural and Food Chemistry (2014). Accepted Manuscript.


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Wednesday, January 27, 2016

Hair Mineral Analysis Significant Correlations Between Calcium Magnesium Potassium Sodium and Met Syn Insulin Resistance Waist BP etc Implications

Does her hair hold the secret to her fitness body? Actually thats unlikely, but it appears possible that a hair analysis could reveals whats keeping you back from a similarly amazing physique.
Hair mineral analyses have been discredited by certain snake oil vendors who use them to sell their "oils" in form of an endless list of "essential" supplements youd have to take if you dont want to end up as dead as the hair they used to produce the analysis. Still, they share one big strength with the more expensive RBC or other cell tests: They give you an idea of your actual calcium, magnesium, sodium and potassium balance.

Much in contrast to serum levels, by the way. If those are off, its either due to an acute event (like diarrhea, for example ;-) or you have a real reason to be concerned. There is after all a really good reason these minerals are also called "electrolytes": They are heavily involved in the ion and thus charge-exchange that keeps your heart beating!
Serum analyses tell you if your heart will keep beating, but what do hair analysis tell you? Thats a very valid question and the answer is NOTHING! You can use them to estimate your mineral balance, but a high calcium level in the hair, does not necessarily imply a high level in other body parts. Moreover, correlations as I am about to report them in todays SuppVersity article allow for hypotheses about causative effects, what they dont do, though is to prove cause and effect! Please keep that in mind while reading this article and before your next visit at your favorite quack.
Before we get to the actual hair mineral analysis data, lets briefly have a look at another set of striking and not so striking differences between the "normal" subjects and those with established metabolic syndrome:
Figure 1: Serum mineral concentrations, visceral (VAT) and subcutaneous body fat and smoking status in subjects w/ and w/out metabolic syndrome (Choi. 2014)
If you take a closer look at the data in Figure 1 you will see that - aside from marginal, but statistically non-significant differences in serum phosphor - the often-checked total Ca, Mg, K, Na & Ph concentrations did not differ between the two groups.
Potassium, insulin resistance & obesity: Later in this article you will learn that there was a negative association between the amount of potassium in the hair of the subjects and their HDL and insulin sensitivity. Its important not to confuse this with the message "potassium is bad for your insulin sensitivity" - in fact, in 1980, Rowe et al. observed significant decreases in plasma insulin response  to sustained hyperglycemia and a ~30% reduction in glucose metabolism (Rowe. 1980).
Moverover, visceral fat was a much more reliable parameter to distinguish the healthy and unhealthy subjects than subcutaneous fat and... a bit to my surprise: Smoking appears to be associated with a lower metabolic risk than non-smoking.

Lets take a look at the hair analysis, now

Much in contrast to the serum levels, the hair mineral analysis did reveal significant inter-group differences and corresponding correlations:
Of all potentially toxic molecules the researchers measured only the levels of arsenic and lead differed significantly between the two groups. The concentrations of cadmium, mercury, and aluminum were not different between the two groups, on the other hand, did not.
And what does that mean? If we take a parting look at the data in Table 1, you will see that, the one parameter that makes all the difference is none of the minerals. Its rather an old acquaintance: The total amount of visceral fat. With a p-value of p = 0.000 its the best parameter we have to identify someone with metabolic syndrome. The hair minerals, on the other hand, may present with associations with individual features of the metabolic syndrome, namely...
Table 1: Multiple logistic regression analysis for hair mineral concentrations with metabolic syndrome (Choi. 2014)
  • low calcium, low magnesium ? high blood pressure, high blood sugar, triglycerides, weight and waist,
  • high sodium, high potassium ? low HDL,
  • high copper ? low blood pressure, low weight, low waist, high insulin sensitivity,
  • high chromium ? high weight, high waist, and
  • high cobalt ? low blood pressure
Now, since, we dont know how exactly the hair mineral content ant the nutritional intake are connected, it is very difficult to make any recommendations based on these observations.

What appears to be relatively certain, though, is that these new findings dont change anything about my previous recommendation to make sure that you get enough calcium and magnesium - the thing about potassium, on the other hand, strikes me as odd. As an antagonist to calcium, the negative effects of K may yet simply be a result of a Ca deficiency in the average mid-40s subjects in the study at hand.
References:
  • Choi, Whan-Seok, Se-Hong Kim, and Ju-Hye Chung. "Relationships of Hair Mineral Concentrations with Insulin Resistance in Metabolic Syndrome." Biological Trace Element Research (2014): 1-7.
  • Rowe, John W., et al. "Effect of experimental potassium deficiency on glucose and insulin metabolism." Metabolism 29.6 (1980): 498-502.


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