Tuesday, January 8, 2013

Acne - Causes and Solution



CAUSES:

i)  All forms of acne have their origin in wrong feeding habits, such as
    irregular hours of eating, improper food, excesses of starches and
    sugar, and excess of fatty foods.

ii)  Chronic constipation is another major cause of acne.  If the bowels
     do not move properly, waste matter does not get eliminated,
     so it causes acne.

iii)  Excessive use of tea, coffee, alcohol, and tobacco can cause acne.

HOME REMEDIES FOR ACNE:

i)  Hot fomentation should be applied to open up the pores and
    squeeze out the waste matter.  Then, rinse with cold water.

ii)  The healing packs made of grated cucumber, oatmeal cooked in milk,
     and creamed carrots used externally have been found to be effective.

iii)  The orange peel is valuable in the treatment of acne.  The peel,
      pounded well with water on a piece of stone, should be applied
      to the affected areas.

iv)  The lemon has also proved beneficial in removing pimples and acne.
      It should be applied regularly.

v)  A teaspoon of coriander juice, mixed with a pinch of turmeric powder,
     is another effective home remedy for acne and blackheads.
     The mixture should be applied to the face after thoroughly
     washing it, every night.

vi)  The juice of raw potatoes has also proved very valuable in clearing
      skin blemishes. 

Monday, January 7, 2013

Eye Care - Methods and Remedies


Eyes are most sensitive and expressive part of your face.  Listed below are some tested methods for good eye-care.

i)  If the skin around your eyes is quite dry, apply cream over it by
    gently patting it over the area and wipe off  the superfluous or
    extra cream by tissue paper.

ii)  Your eyes' beauty has a direct bearing upon your diet.  Include
     such items in your food as have high vitamin A content.
     Carrots, turnip, apricots, etc. are a rich sources of Vitamin A.
     Also have lot of fibrous vegetables like beans so that your
     system remains unconstipated.   

iii)  Have as much water as you can.  Water drive out toxins from
      your body and also helps in keeping eyes remain clean and glowing. 

iv)  While using beauty aids, use only herbal products or
      hypo-allergic beauty-aids because they don’t cause any allergy.

v)  Always wash your eyes with cold water and never with hot water.

vi)  If you are used to having alcohol, slash its consumption to
      the minimum.  Alcohol not only adversely affects your eye-sight
      but also dries the skin, around your eyes, and leaves dark
      rings. SAME IS FOR SMOKING.

vii)  Use eye-make up very sparingly, for its excessive use damages
      the skin around the eye.

viii)  Use a soft brush to apply a little Almond oil on your eye-lashes
       before you retire. This application would make your eye-lashes longer. 

HOME REMEDIES FOR NOURISHMENT OF THE SKIN AROUND THE EYES:

*  Just cut round pieces of "cucumber or potato." Keep them in a
   deep freezer and put them on your eyes.  This enhances the beauty
   of the eyes as well as eye-sight.

*  Rubbing a little of almond oil, around your eyes before you retire,
   
would keep the skin soft and glowing.  The juice of a water-melon
    is also a very good substitute of almond oil.  This juice also
    takes away the wrinkles around the eyes.

Monday, December 24, 2012

The 2012 Atherosclerosis egg study: More smoking is associated with more plaque, unless you eat more eggs

I blogged before about the study by David Spence and colleagues, published online in July 2012 in the journal Atherosclerosis (). This study attracted a lot of media attention (e.g., ). The article is titled: “Egg yolk consumption and carotid plaque”. The study argues that “regular consumption of egg yolk should be avoided by persons at risk of cardiovascular disease”. It hints at egg yolks being unhealthy in general, possibly even more so than cigarettes.

I used the numbers in Table 2 of the article (only 5 rows of data, one per quintile; i.e., N=5) to conduct a type of analysis that is rarely if ever conducted in health studies – a moderating effects analysis. A previous blog post summarizes the results of one such analysis using WarpPLS (). It looked into the effect of the number of eggs consumed per week on the association between blood LDL cholesterol and plaque (carotid plaque). The conclusion, which is admittedly tentative due to the small sample (N=5), was that plaque decreased as LDL cholesterol increased with consumption of 2.3 eggs per week or more ().

Recently I ran an analysis on the moderating effect of number of eggs consumed per week on the association between cumulative smoking (measured in “pack years”) and plaque. As it turns out, if you fit a 3D surface to the five data points that you get for these three variables from Table 2 of the article, you end up with a relatively smooth surface. Below is a 3D plot of the 5 data points, followed by a best-fitting 3D surface (developed using an experimental algorithm).





Based on this best-fitting surface you could then generate a contour graph, shown below. The “lines” are called “isolines”. Each isoline refers to plaque values that are constant for a set of eggs per week and cumulative smoking combinations. Next to the isolines are the corresponding plaque values. The first impression is indeed that both egg consumption and smoking are causing plaque buildup, as plaque clearly increases as one moves toward the top-right corner of the graph.



But focus your attention on each individual isoline, one at a time. It is clear that plaque remains constant for increases in cumulative smoking, as long as egg consumption increases. Take for example the isoline that refers to 120 mm2 of plaque area. An increase in cumulative smoking from about 14.5 to 16 pack years leads to no increase in plaque if egg consumption goes up from about 2 to 2.3 eggs per week.

These within-isoline trends, which are fairly stable across isolines (they are all slanted to the right), clearly contradict the idea that eggs cause plaque buildup. So, why does plaque buildup seem to clearly increase with egg consumption? Here is a good reason: egg consumption is very strongly correlated with age, and plaque increases with age. The correlation is a whopping 0.916. And I am not talking about cumulative egg consumption, which the authors also measure, through a variable called “egg-yolk years”. No, I am talking about eggs per week. In this dataset, older folks were eating more eggs, period.

The correlation between plaque and age is even higher: 0.977. Given this, it makes sense to look at individual isolines. This would be analogous to what biostatisticians often call “adjusting for age”, or analyzing the effect of egg consumption on plaque buildup “keeping age constant”. A different technique is to “control for age”; this technique would be preferable had the correlations been lower (say, lower than 0.7), as collinearity levels might have been below acceptable thresholds.

The underlying logic of the “keeping age constant” technique is fairly sound in the face of such a high correlation, which would make “controlling for age” very difficult due to collinearity. When we “keep age constant”, the results point at egg consumption being protective among smokers.

But diehard fans of the idea that eggs are unhealthy could explain the results differently. Maybe egg consumption causes plaque to go up, but smoking has a protective effect. Again taking the isoline that refers to 120 mm2 of plaque area, these diehard fans could say that an increase in egg consumption from 2 to 2.3 eggs per week leads to no increase in plaque if cumulative smoking goes up from about 14.5 to 16 pack years.

Not too long ago I also blogged about a medical case study of a man who ate approximately 25 eggs (20 to 30) per day for over 15 years (probably well over), was almost 90 years old (88) when the case was published in the prestigious The New England Journal of Medicine, and was in surprisingly good health (). This man was not a smoker.

Perhaps if this man smoked 25 cigarettes per day, and ate no eggs, he would be in even better health eh!?

Monday, December 10, 2012

Does tallness cause heart disease? No, but sex does

Popular beliefs about medical issues are sometimes motivated by a statistical phenomenon known as “spurious relationship”, among other names. Two variables X and Y are influenced by a third variable C, which leads to X and Y being correlated and thus the impression that X and Y are causally associated.

Take a look at the table below, which I blogged about in a previous post (). This table shows that there is a strong unadjusted correlation between height and arterial stiffness, a marker of heart disease. The likelihood that the correlation is due to chance is lower than one tenth of a percentage point (P<.001).



Interestingly, the authors of the study even use height as a control variable to narrow down the “true” causes of arterial stiffness (column with adjusted results), assuming that height did indeed influence arterial stiffness and what they found to be a key predictor of arterial stiffness, 2-hour postprandial glucose.

But there is no convincing evidence that height causes heart disease, with exception of pathological extremes – e.g., acromegaly. Extremes tend to influence statistical results somewhat, leading to conflicting conclusions that end up being disseminated by the popular media (). This is one of the sources of popular beliefs about medical issues.

Another, more important, source are real confounders. And this takes us back to the issue of height being associated with heart disease. In fact, height will typically be significantly associated with heart disease in almost any study that includes men and women and does not control for biological sex.

One of the reasons is that women overall tend to have a significantly lower incident of heart disease than men. The other is that height is significantly lower among women than men, on average, even though there are several women who are taller than the average man.

The table above was from a study including both sexes. Therefore, the strong association between height and arterial stiffness is a “reflection” of the strong association between being male and increased arterial stiffness. If one were to add a variable coded as 0 for male and 1 for female, and use it in a multivariate analysis of predictor of arterial stiffness, together with height, the effect of height would probably “disappear”.

Biological sex is the control variable, the “confounder”, that the authors should have used to narrow down the “true” causes of arterial stiffness (second column in the table). In the absence of biological sex, controlling for height accomplished something similar, but in a “wobbly” way, leaving many readers scratching their heads in confusion.

Tuesday, November 27, 2012

Facebook Revisited: Does the Platform Help or Hurt Users (or Both)?

The benefits and challenges of social media for public health are a frequent topic on Pop Health.  For example, I've explored the influence of these platforms on emergency response, increasing the number of organ donors, and health activism.  However, one of the debates that I hear the most among public health colleagues relates to Facebook.

Does it isolate users?  Does it connect users?  Does it do both?

Earlier this year, my colleague Elana Premack Sandler explored this debate as it relates to loneliness.  Inspired by a feature in the Atlantic Magazine, Elana asks key questions like, "Is Facebook part of the separating or part of the congregating?"  She also mentions concerns about how Facebook (and other social media platforms) affect our social skills and therefore our friendships.

I thought of Elana's writing as I read a new post on the Atlantic website today, "Are Your Facebook Friends Stressing You Out?  (Yes.)".  This post highlights a new report out from the University of Edinburgh Business School.  The report caught my eye because it identified a very specific cause of stress for Facebook users.  The more groups of "friends" a user had (e.g., family, real life friends, co-workers, etc), the more anxiety they had because there was a greater chance of offending someone with their posts.  The report stated that the greatest anxiety came from adding parents or employers as Facebook "friends".  As Megan Garber writes so eloquently in her Atlantic post, the stress comes from Facebook forcing users to "conduct our digital lives with singular identities".  The way we speak or act around family or friends or co-workers must jive on Facebook, or we run the risk of offending someone.  I'm sure many of us saw this conflict a few weeks ago when political and election posts ran rampant on Facebook!

The anxiety described above is interesting, because ideally what we would hope is that Facebook provides a source of social support to users.  Social support occurs when one is cared for by others (via emotional, tangible, or informational support).  The presence or absence of social support is a factor related to public health issues, such as suicide.    

So after reading through the various posts/articles, what do I think about my opening questions about Facebook?

Does it isolate users?  Does it connect users?  Does it do both?

I think it does both.  I have seen it do both.  For example:

Isolation:  I have spoken to friends and colleagues who feel terrible about themselves or their lives after scrolling through their Facebook news feed.  A friend with chronic illness feels isolated hearing about the latest vacation or new job taken by her "friends".  A friend suffering from infertility can't bear one more picture of a "friend" and their newborn.  I think much of this results from the "whitewash" that many of us put on Facebook.  We often paint a picture for our Facebook friends, full of engagements and babies and fun events.  

Connection:  Earlier this year I watched a suicide intervention unfold on Facebook via the comment section under a post.  A friend of a friend posted a suicidal message on their Facebook wall.  Within minutes, "friends" reached out in the comments.  However, not only did they "speak" to the person, but they interacted with each other and followed up in real life.  One comment read, "Did someone go to his house?"  The next comment read, "I went to his house and I called his parents".  After he was taken to the hospital, a comment was posted to inform all the friends that he was safe.  As a public health practitioner that worked in suicide prevention for years, I was amazed with what I saw. 

So what can we do to reduce the isolation/anxiety and increase the connection?  You can certainly start by exerting your control over your Facebook account.  For example:

  • Create a policy about "groups of friends" that you accept into your circle.  I know lots of people that do not accept requests from co-workers or parents.  They make it clear to the individual that it is nothing personal, they just have minimal friends with which they share intimate information.
  • Use the privacy settings!  You can control who can see your posts.
  • Find and use the unfriend button!  I have done this frequently.  If someone posts messages that are offensive or disrespectful regarding something that I've posted- I get rid of them quickly.
  • Take a break from Facebook.  If you realize that Facebook is making you feel bad about yourself, take a break or disable your account.  Use that time to connect with your in real life (IRL) friends or family.
Tell me what you think!  
  • Does Facebook isolate and stress us?  
  • Does Facebook connect us?
  • What other strategies can help to reduce the isolation and increase the connection on Facebook or other social media platforms?

Monday, November 26, 2012

No fat gain while eating well during the Holiday Season: Palatability isolines, the 14-percent advantage, and nature’s special spice

Like most animals, our Paleolithic ancestors had to regularly undergo short periods of low calorie intake. If they were successful at procuring food, those ancestors alternated between periods of mild famine and feast. As a result, nature allowed them to survive and leave offspring. The periods of feast likely involved higher-than-average consumption of animal foods, with the opposite probably being true in periods of mild famine.

Almost anyone who adopted a low carbohydrate diet for a while will tell you that they find foods previously perceived as bland, such as carrots or walnuts, to taste very sweet – meaning, to taste very good. This is a special case of a more general phenomenon. If a nutrient is important for your body, and your body is deficient in it, those foods that contain the nutrient will taste very good.

This rule of thumb applies primarily to foods that contributed to selection pressures in our evolutionary past. Mostly these were foods available in our Paleolithic evolutionary past, although some populations may have developed divergent partial adaptations to more modern foods due to recent yet acute selection pressure. Because of the complexity of the dietary nutrient absorption process, involving many genes, I suspect that the vast majority of adaptations to modern foods are partial adaptations.

Modern engineered foods are designed to bypass reward mechanisms that match nutrient content with deficiency levels. That is not the case with more natural foods, which tend to taste good only to the extent that the nutrients that they carry are needed by our bodies.

Consequently palatability is not fixed for a particular natural food; it does not depend only on the nutrient content of the food. It also depends on the body’s deficiency with respect to the nutrient that the food contains. Below is what you would get if you were to plot a surface that best fit a set of data points relating palatability of a specific food item, nutrient content of that food, and the level of nutrient deficiency, for a group of people. I generated the data through a simple simulation, with added error to make the simulation more realistic.



Based on this best-fitting surface you could then generate a contour graph, shown below. The curves are “contour lines”, a.k.a. isolines. Each isoline refers to palatability values that are constant for a set of nutrient content and nutrient deficiency combinations. Next to the isolines are the corresponding palatability values, which vary from about 10 to 100. As you can see, palatability generally goes up as one moves toward to right-top corner of the graph, which is the area where nutrient content and nutrient deficiency are both high.



What happens when the body is in short-term nutrient deficiency with respect to a nutrient? One thing that happens is an increase in enzymatic activity, often referred to by the more technical term “phosphorylation”. Enzymes are typically proteins that cause an acute and targeted increase in specific metabolic processes. Many diseases are associated with dysfunctional enzyme activity. Short-term nutrient deficiency causes enzymatic activity associated with absorption and retention of the nutrient to go up significantly. In other words, your body holds on to its reserves of the nutrient, and becomes much more responsive to dietary intake of the nutrient.

The result is predictable, but many people seem to be unaware of it; most are actually surprised by it. If the nutrient in question is a macro-nutrient, it will be allocated in such a way that less of it will go into our calorie stores – namely adipocytes (body fat). This applies even to dietary fat itself, as fat is needed throughout the body for functions other than energy storage. I have heard from many people who, by alternating between short-term fasting and feasting, lost body fat while maintaining the same calorie intake as in a previous period when they were steadily gaining body fat without any fasting. Invariably they were very surprised by what happened.

In a diet of mostly natural foods, with minimal intake of industrialized foods, short-term calorie deficiency is usually associated with short-term deficiency of various nutrients. Short-term calorie deficiency, when followed by significant calorie surplus (i.e., eating little and then a lot), is associated with a phenomenon I blogged about before here – the “14-percent advantage” of eating little and then a lot (, ). Underfeeding and then overfeeding leads to a reduction in the caloric value of the meals during overfeeding; a reduction of about 14 percent of the overfed amount.

So, how can you go through the Holiday Season giving others the impression that you eat as much as you want, and do not gain any body fat (maybe even lose some)? Eat very little, or fast, in those days where there will be a feast (Thanksgiving dinner); and then eat to satisfaction during the feast, staying away from industrialized foods as much as possible. Everything will taste extremely delicious, as nature’s “special spice” is hunger. And you may even lose body fat in the process!

But there is a problem. Our bodies are not designed to associate eating very little, or not at all, with pleasure. Yet another thing that we can blame squarely on evolution! Success takes practice and determination, aided by the expectation of delayed gratification.

Monday, November 12, 2012

The bipolar disorder pendulum: Depression as a compensatory adaptation

As far as explaining natural phenomena, Darwin was one of the best theoretical researchers of all time. Yet, there were a few phenomena that puzzled him for many years. One was the evolution of survival-impairing traits such as the peacock’s train, the large and brightly colored tail appendage observed in males.

Tha male peacock’s train is detrimental to the animal’s survival, and yet it is clearly an evolved trait ().

This type of trait is known as a “costly” trait – a trait that enhances biological fitness (or reproductive success, not to be confused with “gym fitness”), and yet is detrimental to the survival of the individuals who possess it (). Many costly traits have evolved in animals because of sexual selection. That is, they have evolved because they are sexy.

Costly traits seem like a contradiction in terms, but the mechanisms by which they can evolve become clear when evolution is modeled mathematically (, ). There is evidence that mental disorders may have evolved as costs of attractive mental traits (); one in particular, bipolar disorder (a.k.a. manic-depression), fits this hypothesis quite well.

Ironically, a key contributor to the mathematics used to understand costly traits, George R. Price (), might have suffered from severe bipolar disorder. Most of Price’s work in evolutionary biology was done in the 1970s; toward the end of his life, which was untimely ended by Price himself. For many years he was known mostly by evolutionary biologists, but this has changed recently with the publication of Oren Harman’s superb biographical book titled “The Price of Altruism: George Price and the Search for the Origins of Kindness” ().

Bipolar disorder is a condition characterized by disruptive mood swings. These swings are between manic and depressed states, and are analogous to the movement of a pendulum in that they alternate, seemingly gravitating around the "normal" state. See the figurative pendulum representation below, adapted from a drawing on Thinkquest.org.



Bipolar disorder is generally associated with creative intelligence, which is a very attractive trait (). Moreover, the manic state of the disorder is associated with hypersexuality and exaggerated generosity (). So one can clearly see how having bipolar disorder may lead to greater reproductive success, even as it creates long-term survival problems.

On one hand, a person may become very energetic and creative while in the manic state. This could be one of the reasons why many who suffer from bipolar disorder have fairly successful careers in fields that require creative intelligence (), which are many and not restricted to fields related to the fine and performing arts. Creative intelligence is highly valued in most knowledge-intensive professions ().

On the other hand, sustained acute mania or depression are frequently associated with serious health problems (). This is why the clinical treatment of bipolar disorder often starts with an attempt to keep the pendulum from moving too far in one direction or another. This may require medication, such as clinical doses of the elemental salt lithium, prior to cognitive behavioral therapy. The focus of cognitive behavioral therapy is on changing the way one sees and thinks about the world, particularly one’s “social world”.

Prolonged acute mania, usually accompanied by severely impaired sleep, may lead to psychosis. This, psychosis, is an extreme state characterized by hallucinations and/or delusions, leading to hospitalization in most cases. It has been theorized that depression is an involuntary compensatory adaptation () aimed at moving the pendulum in the other direction, out of the manic state, before more damage ensues ().

Elaborate approaches have been devised to treat and manage bipolar disorder treatment that involve the identification of mania and depression “prodromes” (), which are signs that a full-blown manic or depressive episode is about to start. Once prodromes are identified, cognitive behavioral therapy techniques are employed to prevent the pendulum from moving further in one direction or the other. The main goal of these techniques is to change one’s way of thinking about various issues (e.g., fears, pessimism). These techniques take years of practice to be used effectively.

Identification of prodromes and subsequent use of cognitive behavioral therapy seems to be particularly effective when dutifully applied with respect to manic episodes (). The reason for this may be related to one interesting fact related to bipolar disorder: manic episodes are not normally dreaded as much as depression episodes.

In fact, many sufferers avoid taking medication because they do not want to give up the creative and energetic bursts that come with manic episodes, even though they absolutely do not want the pendulum to go in the other direction. The problem is that, if depression is indeed a compensatory adaptation to mania, it seems reasonable to assume that extreme manic episodes are likely to be followed by extreme episodes of depression. Perhaps the key to avoid prolonged acute depression is to avoid prolonged acute mania.

As someone with bipolar disorder becomes more and more excited with novel and racing thoughts (a prodrome of mania), it would probably make sense to identify and carry out calming activities – to avoid a fall into despairing depression afterwards.