the-psoriasis-treatment

A cousin of the meatball ( ), the meatloaf is a traditional German dish. The recipe below is for a meal that feeds 4-8 people. The ground beef used has little fat, and thus a relatively low omega-6 content. Most of the fat comes from the 1 lb of ground grass-fed lamb in the recipe, which has a higher omega-3 to omega-6 ratio than the regular (i.e., non-grass-fed) ground beef. The egg acts as a binder. Leave the potato out if you want to decrease the carbohydrate content; it does not add much (nutrient numbers are provided at the end of the post). - Prepare some dry seasoning powder by mixing salt, parsley flakes, garlic powder, chili powder, and a small amount of cayenne pepper. - Grate one zucchini squash and one peeled potato. Cut half an onion into small pieces of similar size. - Mix 2 lb of very lean ground beef (96/4) with 1 lb of ground grass-fed lamb. - Add the dry seasoning, zucchini, potato, onion and a whole egg to the ground meat mix. - Vigorously mix by hand until you get a

The idea that protein powders should be consumed prior to weight training has been around for a while, and is very popular among bodybuilders. Something like 10 grams or so of branched-chain amino acids (BCAAs) is frequently recommended. More recently, with the increase in popularity of intermittent fasting, it has been strongly recommended prior to “fasted weight training”. The quotation marks here are because, obviously, if you are consuming anything that contains calories prior to weight training, the weight training is NOT being done in a fasted state. (Source: Ecopaper.com) Most of the evidence available suggests that intermittent fasting is generally healthy. In fact, being able to fast for 16 hours or more, particularly without craving sweet foods, is actually a sign of a healthy glucose metabolism; which may complicate a cause-and-effect analysis between intermittent fasting and general health. The opposite, craving sweet foods every few hours, is generally a bad sign. One key

I'm finally joining the #VaxDrive after being inspired by all the tweets and, especially, from Dr. Rubidium's post . Honestly, I was looking for something just like this to write about, because I've found myself completely disenchanted with this year's holiday season. It has become the season of buying junk for people who don't need it and receiving junk from people who have no idea what to buy for you. It's stressful, it's wasteful, it's expensive, and it's turned into a stupid tradition. Why not just skip it? Instead, save some lives, buy measles vaccines by clicking here . It only costs a dollar to vaccinate each child, or you can vaccinate a village for $500. A whole village! Another thing: first, go get a flu shot yourself and, second, go help an older person (your mom, dad, grandma, or grandpa) get him or herself a high-dose flu shot. Why a high-dose flu shot? Why not just a standard dose? Here's why: As recently as November, I attended th

In order to achieve muscle gain, one has to repeatedly hit the “supercompensation” window, which is a fleeting period of time occurring at some point in the muscle recovery phase after an intense anaerobic exercise session. The figure below, from Vladimir Zatsiorsky’s and William Kraemer’s outstanding book Science and Practice of Strength Training ( ) provides an illustration of the supercompensation idea. Supercompensation is covered in more detail in a previous post ( ). Trying to hit the supercompensation window is a common denominator among HealthCorrelator for Excel (HCE) users who employ the software ( ) to maximize muscle gain. (That is, among those who know and subscribe to the theory of supercompensation.) This post outlines what I believe is a good way of doing that while avoiding some pitfalls. The data used in the example that follows has been created by me, and is based on a real case. I disguised the data, simplified it, added error etc. to make the underlying method rel

The table below is from a 2008 article by Ehlen and colleagues ( ), showing the amount of erosion caused by various types of beverages, when teeth were exposed to them for 25 h in vitro . Erosion depth is measured in microns. The third row shows the chance probabilities (i.e., P values) associated with the differences in erosion of enamel and root. As you can see, even diet drinks may cause tooth erosion. That is not to say that if you drink a diet soda occasionally you will destroy your teeth, but regular drinking may be a problem. I discussed this study in a previous post ( ). After that post was published here some folks asked me about coffee, so I decided to do some research. Unfortunately coffee by itself can also cause some erosion, primarily because of its acidity. Generally speaking, you want a liquid substance that you are interested in drinking to have a pH as close to 7 as possible, as this pH is neutral ( ). Tap and mineral water have a pH that is very close to 7. Black cof

Below are the coefficients of association calculated by HealthCorrelator for Excel (HCE) for user John Doe. The coefficients of association are calculated as linear correlations in HCE ( ). The focus here is on the associations between fasting triglycerides and various other variables. Take a look at the coefficient of association at the top, with VLDL cholesterol, indicated with a red arrow. It is a very high 0.999. Whoa! What is this – 0.999! Is John Doe a unique case? No, this strong association between fasting triglycerides and VLDL cholesterol is a very common pattern among HCE users. The reason is simple. VLDL cholesterol is not normally measured directly, but typically calculated based on fasting triglycerides, by dividing the fasting triglycerides measurement by 5. And there is an underlying reason for that - fasting triglycerides and VLDL cholesterol are actually very highly correlated, based on direct measurements of these two variables. But if VLDL cholesterol is calculated

The photos below were taken about 10 years ago. The first is at a restaurant near Torrance, California. (As you can see, the restaurant was about to close; we were the last customers.) I am standing next to Royce Grace, who had by then become a sensation ( ). He became a sensation by easily defeating nearly every champion fighter that was placed in front of him. In case you are wondering, Royce is 6’1” and I am 5’8”. The second photo also has Royce’s manager in it – that is his wife. Their children’s names both start with the letter “K”. I wonder how big they are right now. I think that at the time these photos were taken I weighed around 200-210 lbs. Even though I am much shorter than Royce, I outweighed him by around 40 lbs. Now I weigh 150 lbs, at about 11 percent body fat, and look like the photo on the top-right area of this blog - essentially like a thin guy who does some manual labor for a living, I guess. A post is available discussing the "how" part of this transform

One matter that most evidence-based nutritionists and dietitians will agree on is that humans have evolved to be experts in the task of seeking out palatable foods, which generally contain a combination of sugar, fat, and salt. These nutrients, usually scarce over the long span of evolutionary time and highly valued, are what helped lead to the development of our senses. Nowadays, it is still the sight, aroma, and taste of food powered by sugar-fat-salt reward and satisfaction that still guides our eating decisions, except in a modern environment of widely available food and sedentary lifestyles. The axe that nutritionists have to grind with food manufacturers is the blatant targeting of our senses with   layer upon layer of bold sugar-fat-salt flavors -- think of potato chips dipped in artichoke dip, French fries and ketchup, pizza topped with pepperoni, and so on. According to David Kessler , these foods are so powerfully appealing to our senses that they may even alter our brain che

The graph below shows the mortality in the 35-69 and 70-79 age ranges for men and women for the China Study II dataset. I discussed other results in my two previous posts ( ) ( ), all taking us to this post. The full data for the China Study II study is publicly available ( ). The mortality numbers are actually averages of male and female deaths by 1,000 people in each of several counties, in each of the two age ranges. Men do tend to die earlier than women, but the difference above is too large. Generally speaking, when you look at a set time period that is long enough for a good number of deaths (not to be confused with “a number of good deaths”) to be observed, you tend to see around 5-10 percent more deaths among men than among women. This is when other variables are controlled for, or when men and women do not adopt dramatically different diets and lifestyles. One of many examples is a study in Finland ( ); you have to go beyond the abstract on this one. As you can see from the gr

Lance Price In the United States, there are nine billion food animals produced annually including, 34 million cattle, 108 million hogs, 267 mililon turkeys, and 8.9 billion broilers. In contrast, there is only a human population of about 300 million people. Only a fraction of those people will be treated with antibiotics (for 10 days or so a year), but those nine billion animals will be treated all the time whether they're sick or not. Combined with overcrowded and unsanitary conditions, feeding healthy animals antibiotics to prevent disease and promote their growth are ideal grounds for evolution of antibiotic-resistant bacteria. These are bacteria that are no longer inhibited or killed by antibiotics at clinically relevant doses and evidence continues to grow that many of these resistant bacteria do eventually make their way to humans (some originated in humans and made their way back). How do bacteria become resistant? Bacteria can pick up genes through viruses, other bacteria,

WarpPLS  and HealthCorrelator for Excel were used to do the analyses below. For other China Study analyses, many using WarpPLS as well as HealthCorrelator for Excel, click here . For the dataset used, visit the HealthCorrelator for Excel site  and check under the sample datasets area. As always, I thank Dr. T. Colin Campbell and his collaborators for making the data publicly available for independent analyses . In my previous post  I mentioned some odd results that led me to additional analyses. Below is a screen snapshot summarizing one such analysis, of the ordered associations between mortality in the 35-69 and 70-79 age ranges and all of the other variables in the dataset. As I said before, this is a subset of the China Study II dataset, which does not include all of the variables for which data was collected. The associations shown below were generated by HealthCorrelator for Excel. The top associations are positive and with mortality in the other range (the “M006 …” and “M005 …”

WarpPLS  and HealthCorrelator for Excel  were used in the analyses below. For other China Study analyses, many using WarpPLS and HealthCorrelator for Excel, click here . For the dataset used, visit the HealthCorrelator for Excel site  and check under the sample datasets area. I thank Dr. T. Colin Campbell and his collaborators at the University of Oxford for making the data publicly available for independent analyses . The graph below shows the results of a multivariate linear WarpPLS analysis including the following variables: Wheat (wheat flour consumption in g/d), Aprot (animal protein consumption in g/d), Mor35_69 (number of deaths per 1,000 people in the 35-69 age range), and Mor70_79 (number of deaths per 1,000 people in the 70-79 age range). Just a technical comment here, regarding the possibility of ecological fallacy . I am not going to get into this in any depth now, but let me say that the patterns in the data suggest that, with the possible exception of some variables (e.g.

Perfect Health Diet is a book that one should own. It is not the type of book that you can get from your local library and just do a quick read over (and, maybe, write a review about it). If you do that, you will probably miss several important ideas that form the foundation of this book, which is a deep foundation. The book is titled “Perfect Health Diet”, not “The Perfect Health Diet”. If you think that this is a mistake, consider that the most successful social networking web site of all time started as “The Facebook”, and then changed to simply “Facebook”; which was perceived later as a major improvement. Moreover, “Perfect Health Diet” makes for a cool and not at all inappropriate acronym – “PHD”. What people eat has an enormous influence on their lives, and also on the lives of those around them. Nutrition is clearly one of the most important topics in the modern world - it is the source of much happiness and suffering for entire populations. If Albert Einstein and Marie Curie w