General fitness, health and nutrition · Public discussion

Re: Chocolate, Red Wine, Garlic & Almonds

Started by Dan Birchall · · Last activity · 11 posts · 278 views

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General fitness, health and nutrition
Published
8 February 2005
Last activity
10 February 2005
Original author
Dan Birchall
Posts
11
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Public discussion
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  1. (Leila) said:

    Summary:
    1) Eat fish four times a week;
    2) Drink 4-5 oz. of wine a day;

    I don't drink alcohol, but dug around a bit and found that purple grape
    juice has the same compounds from grape skins and seeds as wine, so it's
    "almost" as beneficial.

    Quoted message said:

    3) Eat 100g (3-4 oz.) of dark chocolate a day;

    This is actually the hardest part for me - that's a BIG bar of dark
    chocolate, and I tend to buy high cocoa content organic fair-trade
    stuff like Green & Black's, which isn't particularly cheap, so I've
    grown accustomed to eating it a little bit at a time over several
    days. Eating 100g in one day will be a challenge.

    Quoted message said:

    4) Eat 400g (14 oz.) of fruits and vegetables a day;
    5) Eat 2.7g (a pinch) of garlic a day;
    6) Eat 68g (2-3 oz.) of almonds a day.

    Oh, the horror of having to eat all these foods I already like! 😉

    -Dan

    --
    http://ChocoLocate.com/ - The Chocolate Lovers' Page, established 1994.

  2. Figuring out the various studies that come out on the health effects of
    this and that food is practically impossible. There are also many
    contradicting studies. A lot of that has to do with the methodology of
    comperative studies.

    Generally, what they do is to solicit a group of people to participate
    and then over a period of time they feed half of them with say cabbage
    and the other half ("the control group"😉 don't eat cabbage. Then after
    a period of time they measure either the incidents of heart deasease or
    some auxilliary factor (blood pressure, etc.) and using statistical
    sampling theory conclude that there is a significant difference in the
    two populations.

    Obviously the conclusiveness of such studies will be all over the place
    and you probably want to see more than one study before you stop eating
    cabbage or load up on sauerkraut. Many factors can influence the
    outcome of a study and not all of those can be controlled.

    In addition, statistical sampling theory does come with its own
    limitations on conclusiveness. Namely there will always be some
    non-zero probability that the result was strictly random. Most studies
    keep this probability under 5% but in calculating the significance of
    the study, any researcher will have to use a number of assumptions that
    may or may not be correct. There are well known examples of meaningless
    statistically conclusive data such as the fact that the length of the
    right and left foot are not statistically correlated.

    Finally, many of these studies are sponsored by manufacturers of this
    and that and even if the study was done by a third party research unit,
    you still have to wonder.

  3. (Fifo) said:

    Figuring out the various studies that come out on the health effects of
    this and that food is practically impossible. There are also many
    contradicting studies. A lot of that has to do with the methodology of
    comperative studies.

    Generally, what they do is to solicit a group of people to participate
    and then over a period of time they feed half of them with say cabbage
    and the other half ("the control group"😉 don't eat cabbage. Then after
    a period of time they measure either the incidents of heart deasease or
    some auxilliary factor (blood pressure, etc.) and using statistical
    sampling theory conclude that there is a significant difference in the
    two populations.

    Obviously the conclusiveness of such studies will be all over the place
    and you probably want to see more than one study before you stop eating
    cabbage or load up on sauerkraut. Many factors can influence the
    outcome of a study and not all of those can be controlled.

    In addition, statistical sampling theory does come with its own
    limitations on conclusiveness. Namely there will always be some
    non-zero probability that the result was strictly random. Most studies
    keep this probability under 5% but in calculating the significance of
    the study, any researcher will have to use a number of assumptions that
    may or may not be correct. There are well known examples of meaningless
    statistically conclusive data such as the fact that the length of the
    right and left foot are not statistically correlated.

    Finally, many of these studies are sponsored by manufacturers of this
    and that and even if the study was done by a third party research unit,
    you still have to wonder.

    Did you (or do you) have anything to say about _this particular study_?

    --
    http://ChocoLocate.com/ - The Chocolate Lovers' Page, established 1994.

  4. (Fifo) said:

    Figuring out the various studies that come out on the health effects of
    this and that food is practically impossible. There are also many
    contradicting studies. A lot of that has to do with the methodology of
    comperative studies.

    Generally, what they do is to solicit a group of people to participate
    and then over a period of time they feed half of them with say cabbage
    and the other half ("the control group"😉 don't eat cabbage. Then after
    a period of time they measure either the incidents of heart deasease or
    some auxilliary factor (blood pressure, etc.) and using statistical
    sampling theory conclude that there is a significant difference in the
    two populations.

    Obviously the conclusiveness of such studies will be all over the place
    and you probably want to see more than one study before you stop eating
    cabbage or load up on sauerkraut. Many factors can influence the
    outcome of a study and not all of those can be controlled.

    In addition, statistical sampling theory does come with its own
    limitations on conclusiveness. Namely there will always be some
    non-zero probability that the result was strictly random. Most studies
    keep this probability under 5% but in calculating the significance of
    the study, any researcher will have to use a number of assumptions that
    may or may not be correct. There are well known examples of meaningless
    statistically conclusive data such as the fact that the length of the
    right and left foot are not statistically correlated.

    Finally, many of these studies are sponsored by manufacturers of this
    and that and even if the study was done by a third party research unit,
    you still have to wonder.

    Did you (or do you) have anything to say about _this particular study_?

    --
    http://ChocoLocate.com/ - The Chocolate Lovers' Page, established 1994.

  5. (Fifo) said:

    Figuring out the various studies that come out on the health effects of
    this and that food is practically impossible. There are also many
    contradicting studies. A lot of that has to do with the methodology of
    comperative studies.

    Generally, what they do is to solicit a group of people to participate
    and then over a period of time they feed half of them with say cabbage
    and the other half ("the control group"😉 don't eat cabbage. Then after
    a period of time they measure either the incidents of heart deasease or
    some auxilliary factor (blood pressure, etc.) and using statistical
    sampling theory conclude that there is a significant difference in the
    two populations.

    Obviously the conclusiveness of such studies will be all over the place
    and you probably want to see more than one study before you stop eating
    cabbage or load up on sauerkraut. Many factors can influence the
    outcome of a study and not all of those can be controlled.

    In addition, statistical sampling theory does come with its own
    limitations on conclusiveness. Namely there will always be some
    non-zero probability that the result was strictly random. Most studies
    keep this probability under 5% but in calculating the significance of
    the study, any researcher will have to use a number of assumptions that
    may or may not be correct. There are well known examples of meaningless
    statistically conclusive data such as the fact that the length of the
    right and left foot are not statistically correlated.

    Finally, many of these studies are sponsored by manufacturers of this
    and that and even if the study was done by a third party research unit,
    you still have to wonder.

    Did you (or do you) have anything to say about _this particular study_?

    --
    http://ChocoLocate.com/ - The Chocolate Lovers' Page, established 1994.

  6. Dan Birchall said:

    Did you (or do you) have anything to say about _this particular


    study_?

    Quoted message said:

    I am sorry. I was planning on sharing my personal drinking and eating
    habits with the world (like you did) but it simply slipped my mind.

  7. Dan Birchall said:

    Did you (or do you) have anything to say about _this particular


    study_?

    Quoted message said:

    I am sorry. I was planning on sharing my personal drinking and eating
    habits with the world (like you did) but it simply slipped my mind.

  8. Dan Birchall said:

    Did you (or do you) have anything to say about _this particular


    study_?

    Quoted message said:

    I am sorry. I was planning on sharing my personal drinking and eating
    habits with the world (like you did) but it simply slipped my mind.

  9. (Fifo) said:


    Dan Birchall said:

    Did you (or do you) have anything to say about _this particular
    study_?

    I am sorry. I was planning on sharing my personal drinking and eating
    habits with the world (like you did) but it simply slipped my mind.

    Sorry, I meant my question sincerely. I'm curious to what extent the
    things you said about studies in general are (to your knowledge) true
    of this particular one.

    (Of course, this one was more a review of the existing literature than
    a new research project.)

    --
    http://ChocoLocate.com/ - The Chocolate Lovers' Page, established 1994.

  10. Dan Birchall said:
    (Fifo) said:


    Dan Birchall said:

    Did you (or do you) have anything to say about _this particular
    study_?

    I am sorry. I was planning on sharing my personal drinking and


    eating

    Quoted message said:
    Quoted message said:

    habits with the world (like you did) but it simply slipped my


    mind.

    Quoted message said:


    Sorry, I meant my question sincerely. I'm curious to what extent the

    Quoted message said:

    things you said about studies in general are (to your knowledge) true
    of this particular one.

    I amd sorry too - I thought you were trying to police the content. I
    was just trying to explain why Leila was seeing contradictory surveys
    with respect to the effects of wine. It also struck me that I have seen
    contradictions with respect to the effects of chocolate. Not so much in
    terms of the benefits of the ingredients as much as whether the amounts
    contained in chocolate and whether those can actually have any effect.
    Personally I beleive that there is enough evidence that if something
    makes you happy, happiness is good for your health so it is good too.
    Of course some substances excluded.

  11. (Fifo) said:

    I was just trying to explain why Leila was seeing contradictory surveys
    with respect to the effects of wine.

    Ugh, indeed! Those are particularly amusing (in a sad way) over time.
    They begin by leaping to tremendously silly conclusions:

    "People who drink a little wine are healthier, so wine is good for you."
    "People who drink a lot of wine are less healthy, so wine is bad for you."

    And then of course over years and years (and, I might note, a lot of
    research funding... I simply must get an advanced degree so people will
    throw money at me to proclaim obvious things 😉 they eventually narrow it
    down and determine that... oh, what was the last one I saw? One glass of
    wine every other day, I think they were saying. Which of course is still
    a generalization and not optimal for some people.

    Same with chocolate, I suppose. Though at least they're having the sense
    to point out that anything in chocolate that might be good for you is more
    likely to be in the good brands of dark chocolate, and not in some horrid
    brand you can find at 7-eleven 😉

    Quoted message said:

    Personally I beleive that there is enough evidence that if something
    makes you happy, happiness is good for your health so it is good too.

    That is a good mindset to have. 🙂

    --
    http://ChocoLocate.com/ - The Chocolate Lovers' Page, established 1994.

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