Guest guest Posted December 2, 2005 Report Share Posted December 2, 2005 --- In , " Rodney " <perspect1111@y...> wrote: > More specifically here is an example of what I mean: Suppose a > person has been eating 2500 calories a day for years and weighs > (equilibrium weight for that level of intake) 200 pounds. What would > happen to his/her weight if s/he raised intake to 2600, or dropped it > to 2400, while all else (exercise activity for example) remained > unchanged? I don't think weight loss/gain can be reduced to exact mathematical formulas, no matter how appealing they may be to the analytical mind. To the question you posed, i.e a 100+/- calories change, I think the most likely outcome is ... no significant long-term weight change, primarily due to changes in BMR. The next most likely outcome is a much smaller weight change than would be predicted by " normal " formulas. It's even possible, though certainly not likely, that a person might gain/lose weight in the opposite direction of the calorie change. Quote Link to comment Share on other sites More sharing options...
Guest guest Posted December 2, 2005 Report Share Posted December 2, 2005 --- In , " Rodney " <perspect1111@y...> wrote: > More specifically here is an example of what I mean: Suppose a > person has been eating 2500 calories a day for years and weighs > (equilibrium weight for that level of intake) 200 pounds. What would > happen to his/her weight if s/he raised intake to 2600, or dropped it > to 2400, while all else (exercise activity for example) remained > unchanged? I don't think weight loss/gain can be reduced to exact mathematical formulas, no matter how appealing they may be to the analytical mind. To the question you posed, i.e a 100+/- calories change, I think the most likely outcome is ... no significant long-term weight change, primarily due to changes in BMR. The next most likely outcome is a much smaller weight change than would be predicted by " normal " formulas. It's even possible, though certainly not likely, that a person might gain/lose weight in the opposite direction of the calorie change. Quote Link to comment Share on other sites More sharing options...
Guest guest Posted December 2, 2005 Report Share Posted December 2, 2005 I agree that lowering calories too quickly can cause such a lowering of MBR that little weight change occurs. I once reduced my caloric input by 50%! I went from 2400 calories a day to 1200. I also increased the length of my daily workouts significantly, spending an hour on a treadmill and an hour lifting weights. I still had plenty of fat to lose. After four weeks I was amazed. I hadn't lost much of anything at all. I weighed 220, I was 6'1 " and only lost about two pounds. I was also hydrostaticaly weighing myself and was not gaining muscle either. I finally quit this and started eating more like 2000 caloris and my weight dropped to 200 lbs fairly quickly. Overtraining and too sudden reduction in caloric intake can cause the body to assume that it needs to conserve fat rather than lose it. The body has a set-point mechanism for maintaining a certain weight. I am interested in getting my caloric intake down to no more than 1200 calories a day and possibly lower, but I am doing it slowly and doing tons of nutritional research. Bob S. > > More specifically here is an example of what I mean: Suppose a > > person has been eating 2500 calories a day for years and weighs > > (equilibrium weight for that level of intake) 200 pounds. What would > > happen to his/her weight if s/he raised intake to 2600, or dropped it > > to 2400, while all else (exercise activity for example) remained > > unchanged? > > I don't think weight loss/gain can be reduced to exact > mathematical formulas, no matter how appealing they may > be to the analytical mind. To the question you posed, > i.e a 100+/- calories change, I think the most likely > outcome is ... no significant long-term weight change, > primarily due to changes in BMR. The next most likely > outcome is a much smaller weight change than would be > predicted by " normal " formulas. It's even possible, > though certainly not likely, that a person might gain/lose > weight in the opposite direction of the calorie change. > Quote Link to comment Share on other sites More sharing options...
Guest guest Posted December 2, 2005 Report Share Posted December 2, 2005 I agree that lowering calories too quickly can cause such a lowering of MBR that little weight change occurs. I once reduced my caloric input by 50%! I went from 2400 calories a day to 1200. I also increased the length of my daily workouts significantly, spending an hour on a treadmill and an hour lifting weights. I still had plenty of fat to lose. After four weeks I was amazed. I hadn't lost much of anything at all. I weighed 220, I was 6'1 " and only lost about two pounds. I was also hydrostaticaly weighing myself and was not gaining muscle either. I finally quit this and started eating more like 2000 caloris and my weight dropped to 200 lbs fairly quickly. Overtraining and too sudden reduction in caloric intake can cause the body to assume that it needs to conserve fat rather than lose it. The body has a set-point mechanism for maintaining a certain weight. I am interested in getting my caloric intake down to no more than 1200 calories a day and possibly lower, but I am doing it slowly and doing tons of nutritional research. Bob S. > > More specifically here is an example of what I mean: Suppose a > > person has been eating 2500 calories a day for years and weighs > > (equilibrium weight for that level of intake) 200 pounds. What would > > happen to his/her weight if s/he raised intake to 2600, or dropped it > > to 2400, while all else (exercise activity for example) remained > > unchanged? > > I don't think weight loss/gain can be reduced to exact > mathematical formulas, no matter how appealing they may > be to the analytical mind. To the question you posed, > i.e a 100+/- calories change, I think the most likely > outcome is ... no significant long-term weight change, > primarily due to changes in BMR. The next most likely > outcome is a much smaller weight change than would be > predicted by " normal " formulas. It's even possible, > though certainly not likely, that a person might gain/lose > weight in the opposite direction of the calorie change. > Quote Link to comment Share on other sites More sharing options...
Guest guest Posted December 2, 2005 Report Share Posted December 2, 2005 nosirreeb wrote: > >> More specifically here is an example of what I mean: Suppose a >> person has been eating 2500 calories a day for years and weighs >> (equilibrium weight for that level of intake) 200 pounds. What would >> happen to his/her weight if s/he raised intake to 2600, or dropped it >> to 2400, while all else (exercise activity for example) remained >> unchanged? > > I don't think weight loss/gain can be reduced to exact > mathematical formulas, no matter how appealing they may > be to the analytical mind. To the question you posed, > i.e a 100+/- calories change, I think the most likely > outcome is ... no significant long-term weight change, > primarily due to changes in BMR. The next most likely > outcome is a much smaller weight change than would be > predicted by " normal " formulas. It's even possible, > though certainly not likely, that a person might gain/lose > weight in the opposite direction of the calorie change. > > > Agreed.... intake vs weight is a complex relationship.. While true in gross effect, at the margin difficult to quantify. I don't like the school of thought that suggests you can completely decouple from total energy content by manipulating macronutrient ratios or chewing on willow bark before meals (just kidding- about the bark). While it ultimately should be determinate, there are too many variables beyond our easy observation that make it difficult to quantify. JR Quote Link to comment Share on other sites More sharing options...
Guest guest Posted December 2, 2005 Report Share Posted December 2, 2005 nosirreeb wrote: > >> More specifically here is an example of what I mean: Suppose a >> person has been eating 2500 calories a day for years and weighs >> (equilibrium weight for that level of intake) 200 pounds. What would >> happen to his/her weight if s/he raised intake to 2600, or dropped it >> to 2400, while all else (exercise activity for example) remained >> unchanged? > > I don't think weight loss/gain can be reduced to exact > mathematical formulas, no matter how appealing they may > be to the analytical mind. To the question you posed, > i.e a 100+/- calories change, I think the most likely > outcome is ... no significant long-term weight change, > primarily due to changes in BMR. The next most likely > outcome is a much smaller weight change than would be > predicted by " normal " formulas. It's even possible, > though certainly not likely, that a person might gain/lose > weight in the opposite direction of the calorie change. > > > Agreed.... intake vs weight is a complex relationship.. While true in gross effect, at the margin difficult to quantify. I don't like the school of thought that suggests you can completely decouple from total energy content by manipulating macronutrient ratios or chewing on willow bark before meals (just kidding- about the bark). While it ultimately should be determinate, there are too many variables beyond our easy observation that make it difficult to quantify. JR Quote Link to comment Share on other sites More sharing options...
Guest guest Posted December 2, 2005 Report Share Posted December 2, 2005 I did some calculations using the Mifflin-St Jeor equations for weight vs BMR. Since the equations are linear, the number of calories per pound is 4.4 at age 35 and 4.6 at age 65. This means that if you go from 200 to 150 pounds, you will need approximately 50*4.5 = 225 calories less to maintain the same level of activity. Every pound of weight gain requires the equivalent of 1/3 teaspoon of sugar for maintenance! Tony > >> More specifically here is an example of what I mean: Suppose a > >> person has been eating 2500 calories a day for years and weighs > >> (equilibrium weight for that level of intake) 200 pounds. What would > >> happen to his/her weight if s/he raised intake to 2600, or dropped it > >> to 2400, while all else (exercise activity for example) remained > >> unchanged? > > > > I don't think weight loss/gain can be reduced to exact > > mathematical formulas, no matter how appealing they may > > be to the analytical mind. To the question you posed, > > i.e a 100+/- calories change, I think the most likely > > outcome is ... no significant long-term weight change, > > primarily due to changes in BMR. The next most likely > > outcome is a much smaller weight change than would be > > predicted by " normal " formulas. It's even possible, > > though certainly not likely, that a person might gain/lose > > weight in the opposite direction of the calorie change. > > > > > > > > Agreed.... intake vs weight is a complex relationship.. While > true in gross effect, at the margin difficult to quantify. > > I don't like the school of thought that suggests you can > completely decouple from total energy content by manipulating > macronutrient ratios or chewing on willow bark before meals > (just kidding- about the bark). While it ultimately should > be determinate, there are too many variables beyond our easy > observation that make it difficult to quantify. > > JR > Quote Link to comment Share on other sites More sharing options...
Guest guest Posted December 2, 2005 Report Share Posted December 2, 2005 I did some calculations using the Mifflin-St Jeor equations for weight vs BMR. Since the equations are linear, the number of calories per pound is 4.4 at age 35 and 4.6 at age 65. This means that if you go from 200 to 150 pounds, you will need approximately 50*4.5 = 225 calories less to maintain the same level of activity. Every pound of weight gain requires the equivalent of 1/3 teaspoon of sugar for maintenance! Tony > >> More specifically here is an example of what I mean: Suppose a > >> person has been eating 2500 calories a day for years and weighs > >> (equilibrium weight for that level of intake) 200 pounds. What would > >> happen to his/her weight if s/he raised intake to 2600, or dropped it > >> to 2400, while all else (exercise activity for example) remained > >> unchanged? > > > > I don't think weight loss/gain can be reduced to exact > > mathematical formulas, no matter how appealing they may > > be to the analytical mind. To the question you posed, > > i.e a 100+/- calories change, I think the most likely > > outcome is ... no significant long-term weight change, > > primarily due to changes in BMR. The next most likely > > outcome is a much smaller weight change than would be > > predicted by " normal " formulas. It's even possible, > > though certainly not likely, that a person might gain/lose > > weight in the opposite direction of the calorie change. > > > > > > > > Agreed.... intake vs weight is a complex relationship.. While > true in gross effect, at the margin difficult to quantify. > > I don't like the school of thought that suggests you can > completely decouple from total energy content by manipulating > macronutrient ratios or chewing on willow bark before meals > (just kidding- about the bark). While it ultimately should > be determinate, there are too many variables beyond our easy > observation that make it difficult to quantify. > > JR > Quote Link to comment Share on other sites More sharing options...
Guest guest Posted December 2, 2005 Report Share Posted December 2, 2005 Hi Tony: Aha! So your calculations are showing 22.2 pounds per hundred calories then. I also used Mifflin/St Jeor equations (thanks for posting them here some time ago). In any event, our conclusions are broadly similar ........... that a cut of one hundred calories in average daily intake results in a sizeably lower equilibrium body weight. This is another reason to not go overboard in cutting calories, but take it gradually, one hundred at a time. Some time, perhaps on the weekend, I will show more of the data I calculated. Rodney. > > >> More specifically here is an example of what I mean: Suppose a > > >> person has been eating 2500 calories a day for years and weighs > > >> (equilibrium weight for that level of intake) 200 pounds. What > would > > >> happen to his/her weight if s/he raised intake to 2600, or > dropped it > > >> to 2400, while all else (exercise activity for example) remained > > >> unchanged? > > > > > > I don't think weight loss/gain can be reduced to exact > > > mathematical formulas, no matter how appealing they may > > > be to the analytical mind. To the question you posed, > > > i.e a 100+/- calories change, I think the most likely > > > outcome is ... no significant long-term weight change, > > > primarily due to changes in BMR. The next most likely > > > outcome is a much smaller weight change than would be > > > predicted by " normal " formulas. It's even possible, > > > though certainly not likely, that a person might gain/lose > > > weight in the opposite direction of the calorie change. > > > > > > > > > > > > > Agreed.... intake vs weight is a complex relationship.. While > > true in gross effect, at the margin difficult to quantify. > > > > I don't like the school of thought that suggests you can > > completely decouple from total energy content by manipulating > > macronutrient ratios or chewing on willow bark before meals > > (just kidding- about the bark). While it ultimately should > > be determinate, there are too many variables beyond our easy > > observation that make it difficult to quantify. > > > > JR > > > Quote Link to comment Share on other sites More sharing options...
Guest guest Posted December 2, 2005 Report Share Posted December 2, 2005 Hi Tony: Aha! So your calculations are showing 22.2 pounds per hundred calories then. I also used Mifflin/St Jeor equations (thanks for posting them here some time ago). In any event, our conclusions are broadly similar ........... that a cut of one hundred calories in average daily intake results in a sizeably lower equilibrium body weight. This is another reason to not go overboard in cutting calories, but take it gradually, one hundred at a time. Some time, perhaps on the weekend, I will show more of the data I calculated. Rodney. > > >> More specifically here is an example of what I mean: Suppose a > > >> person has been eating 2500 calories a day for years and weighs > > >> (equilibrium weight for that level of intake) 200 pounds. What > would > > >> happen to his/her weight if s/he raised intake to 2600, or > dropped it > > >> to 2400, while all else (exercise activity for example) remained > > >> unchanged? > > > > > > I don't think weight loss/gain can be reduced to exact > > > mathematical formulas, no matter how appealing they may > > > be to the analytical mind. To the question you posed, > > > i.e a 100+/- calories change, I think the most likely > > > outcome is ... no significant long-term weight change, > > > primarily due to changes in BMR. The next most likely > > > outcome is a much smaller weight change than would be > > > predicted by " normal " formulas. It's even possible, > > > though certainly not likely, that a person might gain/lose > > > weight in the opposite direction of the calorie change. > > > > > > > > > > > > > Agreed.... intake vs weight is a complex relationship.. While > > true in gross effect, at the margin difficult to quantify. > > > > I don't like the school of thought that suggests you can > > completely decouple from total energy content by manipulating > > macronutrient ratios or chewing on willow bark before meals > > (just kidding- about the bark). While it ultimately should > > be determinate, there are too many variables beyond our easy > > observation that make it difficult to quantify. > > > > JR > > > Quote Link to comment Share on other sites More sharing options...
Guest guest Posted December 2, 2005 Report Share Posted December 2, 2005 Rodney, Although the calculated equilibrium body weight may be 22.2 pounds lower for every hundred calorie deficit in the diet, we have to take into consideration that BMR is reduced during dieting, therby resisting weight loss. The biospherians had approximately 6% lower BMR than controls. Also, three weeks of a 40% CR reduced BMR by 12% (PMID: 15870104), and Keys starvation studies showed a 16% BMR decrease in lean tissue. So, given the energy equation: Food_Energy = BMR + Exercise + Waste + Weight_Change The weight change may really be: Weight_Change = Food_Energy - Waste - Exercise - BMR*FudgeFactor Where the FudgeFactor corresponds to the reduction of BMR induced by the lower caloric intake (e.g., 0.94 for 6% lower BMR). I have wondered how is it possible to be calorically restricted if the body weight is always reduced to correspond to the energy ingested. I speculate on this subject in the bottom section (technical analysis) of my CR web page: http://www.scientificpsychic.com/health/crondiet.html I found it interesting that the Mifflin-St Jeor equations predict that a 40% CR diet will only sustain a human of half the normal weight, which corresponds exactly with what is found experimentally for mice and rats [Mattson, Masoro]. Tony > > > > I did some calculations using the Mifflin-St Jeor equations for > weight > > vs BMR. Since the equations are linear, the number of calories per > > pound is 4.4 at age 35 and 4.6 at age 65. > > > > This means that if you go from 200 to 150 pounds, you will need > > approximately 50*4.5 = 225 calories less to maintain the same level > of > > activity. > > > > Every pound of weight gain requires the equivalent of 1/3 teaspoon > of > > sugar for maintenance! > > > > Tony > > Quote Link to comment Share on other sites More sharing options...
Guest guest Posted December 2, 2005 Report Share Posted December 2, 2005 Rodney, Although the calculated equilibrium body weight may be 22.2 pounds lower for every hundred calorie deficit in the diet, we have to take into consideration that BMR is reduced during dieting, therby resisting weight loss. The biospherians had approximately 6% lower BMR than controls. Also, three weeks of a 40% CR reduced BMR by 12% (PMID: 15870104), and Keys starvation studies showed a 16% BMR decrease in lean tissue. So, given the energy equation: Food_Energy = BMR + Exercise + Waste + Weight_Change The weight change may really be: Weight_Change = Food_Energy - Waste - Exercise - BMR*FudgeFactor Where the FudgeFactor corresponds to the reduction of BMR induced by the lower caloric intake (e.g., 0.94 for 6% lower BMR). I have wondered how is it possible to be calorically restricted if the body weight is always reduced to correspond to the energy ingested. I speculate on this subject in the bottom section (technical analysis) of my CR web page: http://www.scientificpsychic.com/health/crondiet.html I found it interesting that the Mifflin-St Jeor equations predict that a 40% CR diet will only sustain a human of half the normal weight, which corresponds exactly with what is found experimentally for mice and rats [Mattson, Masoro]. Tony > > > > I did some calculations using the Mifflin-St Jeor equations for > weight > > vs BMR. Since the equations are linear, the number of calories per > > pound is 4.4 at age 35 and 4.6 at age 65. > > > > This means that if you go from 200 to 150 pounds, you will need > > approximately 50*4.5 = 225 calories less to maintain the same level > of > > activity. > > > > Every pound of weight gain requires the equivalent of 1/3 teaspoon > of > > sugar for maintenance! > > > > Tony > > Quote Link to comment Share on other sites More sharing options...
Guest guest Posted December 2, 2005 Report Share Posted December 2, 2005 Hi Tony: But isn't Mifflin/St Jeor all about **calculating** the variation in BMR in response to variations in gender, weight, height, and age? And for a given individual at a given time in his/her life weight is the only item among those that varies. On the weekend I try to get to showing you how I arrived at the fifteen pound number. By the way my oxidizing sample of safflower oil remains completely colorless, and it now has a completely transparent solid layer about one-tenth of an inch thick on the surface. Rodney. > > Rodney, > > Although the calculated equilibrium body weight may be 22.2 pounds > lower for every hundred calorie deficit in the diet, we have to take > into consideration that BMR is reduced during dieting, therby > resisting weight loss. > > The biospherians had approximately 6% lower BMR than controls. Also, > three weeks of a 40% CR reduced BMR by 12% (PMID: 15870104), and Keys > starvation studies showed a 16% BMR decrease in lean tissue. > > So, given the energy equation: > > Food_Energy = BMR + Exercise + Waste + Weight_Change > > The weight change may really be: > > Weight_Change = Food_Energy - Waste - Exercise - BMR*FudgeFactor > > Where the FudgeFactor corresponds to the reduction of BMR induced by > the lower caloric intake (e.g., 0.94 for 6% lower BMR). > > I have wondered how is it possible to be calorically restricted if the > body weight is always reduced to correspond to the energy ingested. I > speculate on this subject in the bottom section (technical analysis) > of my CR web page: > http://www.scientificpsychic.com/health/crondiet.html > > I found it interesting that the Mifflin-St Jeor equations predict that > a 40% CR diet will only sustain a human of half the normal weight, > which corresponds exactly with what is found experimentally for mice > and rats [Mattson, Masoro]. > > Tony > > > --- In , " Rodney " <perspect1111@y...> wrote: > > > > Hi Tony: > > > > Aha! So your calculations are showing 22.2 pounds per hundred > > calories then. I also used Mifflin/St Jeor equations (thanks for > > posting them here some time ago). > > > > In any event, our conclusions are broadly similar ........... that > > a cut of one hundred calories in average daily intake results in a > > sizeably lower equilibrium body weight. This is another reason to > > not go overboard in cutting calories, but take it gradually, one > > hundred at a time. > > > > Some time, perhaps on the weekend, I will show more of the data I > > calculated. > > > > Rodney. > > > > --- In , " citpeks " <citpeks@y...> wrote: > > > > > > I did some calculations using the Mifflin-St Jeor equations for > > weight > > > vs BMR. Since the equations are linear, the number of calories per > > > pound is 4.4 at age 35 and 4.6 at age 65. > > > > > > This means that if you go from 200 to 150 pounds, you will need > > > approximately 50*4.5 = 225 calories less to maintain the same level > > of > > > activity. > > > > > > Every pound of weight gain requires the equivalent of 1/3 teaspoon > > of > > > sugar for maintenance! > > > > > > Tony > > > > Quote Link to comment Share on other sites More sharing options...
Guest guest Posted December 2, 2005 Report Share Posted December 2, 2005 Hi Tony: But isn't Mifflin/St Jeor all about **calculating** the variation in BMR in response to variations in gender, weight, height, and age? And for a given individual at a given time in his/her life weight is the only item among those that varies. On the weekend I try to get to showing you how I arrived at the fifteen pound number. By the way my oxidizing sample of safflower oil remains completely colorless, and it now has a completely transparent solid layer about one-tenth of an inch thick on the surface. Rodney. > > Rodney, > > Although the calculated equilibrium body weight may be 22.2 pounds > lower for every hundred calorie deficit in the diet, we have to take > into consideration that BMR is reduced during dieting, therby > resisting weight loss. > > The biospherians had approximately 6% lower BMR than controls. Also, > three weeks of a 40% CR reduced BMR by 12% (PMID: 15870104), and Keys > starvation studies showed a 16% BMR decrease in lean tissue. > > So, given the energy equation: > > Food_Energy = BMR + Exercise + Waste + Weight_Change > > The weight change may really be: > > Weight_Change = Food_Energy - Waste - Exercise - BMR*FudgeFactor > > Where the FudgeFactor corresponds to the reduction of BMR induced by > the lower caloric intake (e.g., 0.94 for 6% lower BMR). > > I have wondered how is it possible to be calorically restricted if the > body weight is always reduced to correspond to the energy ingested. I > speculate on this subject in the bottom section (technical analysis) > of my CR web page: > http://www.scientificpsychic.com/health/crondiet.html > > I found it interesting that the Mifflin-St Jeor equations predict that > a 40% CR diet will only sustain a human of half the normal weight, > which corresponds exactly with what is found experimentally for mice > and rats [Mattson, Masoro]. > > Tony > > > --- In , " Rodney " <perspect1111@y...> wrote: > > > > Hi Tony: > > > > Aha! So your calculations are showing 22.2 pounds per hundred > > calories then. I also used Mifflin/St Jeor equations (thanks for > > posting them here some time ago). > > > > In any event, our conclusions are broadly similar ........... that > > a cut of one hundred calories in average daily intake results in a > > sizeably lower equilibrium body weight. This is another reason to > > not go overboard in cutting calories, but take it gradually, one > > hundred at a time. > > > > Some time, perhaps on the weekend, I will show more of the data I > > calculated. > > > > Rodney. > > > > --- In , " citpeks " <citpeks@y...> wrote: > > > > > > I did some calculations using the Mifflin-St Jeor equations for > > weight > > > vs BMR. Since the equations are linear, the number of calories per > > > pound is 4.4 at age 35 and 4.6 at age 65. > > > > > > This means that if you go from 200 to 150 pounds, you will need > > > approximately 50*4.5 = 225 calories less to maintain the same level > > of > > > activity. > > > > > > Every pound of weight gain requires the equivalent of 1/3 teaspoon > > of > > > sugar for maintenance! > > > > > > Tony > > > > Quote Link to comment Share on other sites More sharing options...
Guest guest Posted December 3, 2005 Report Share Posted December 3, 2005 If you've read Walford, and if you've read our files (must reads for everyone who posts here), then you should know that quick weight losses are not recommended. They are detrimental to health. By no means should you go under 1000 cal a day. As noted by Walford. You will not be able to get enough nutrients for good health. on 12/2/2005 8:08 AM, rjmsus at rjmsus@... wrote: After four weeks I was amazed. I hadn't lost much of anything at all. I weighed 220, I was 6'1 " and only lost about two pounds. I was also hydrostaticaly weighing myself and was not gaining muscle either. I finally quit this and started eating more like 2000 caloris and my weight dropped to 200 lbs fairly quickly. I am interested in getting my caloric intake down to no more than 1200 calories a day and possibly lower, but I am doing it slowly and doing tons of nutritional research. Bob S. - Quote Link to comment Share on other sites More sharing options...
Guest guest Posted December 3, 2005 Report Share Posted December 3, 2005 If you've read Walford, and if you've read our files (must reads for everyone who posts here), then you should know that quick weight losses are not recommended. They are detrimental to health. By no means should you go under 1000 cal a day. As noted by Walford. You will not be able to get enough nutrients for good health. on 12/2/2005 8:08 AM, rjmsus at rjmsus@... wrote: After four weeks I was amazed. I hadn't lost much of anything at all. I weighed 220, I was 6'1 " and only lost about two pounds. I was also hydrostaticaly weighing myself and was not gaining muscle either. I finally quit this and started eating more like 2000 caloris and my weight dropped to 200 lbs fairly quickly. I am interested in getting my caloric intake down to no more than 1200 calories a day and possibly lower, but I am doing it slowly and doing tons of nutritional research. Bob S. - Quote Link to comment Share on other sites More sharing options...
Guest guest Posted December 3, 2005 Report Share Posted December 3, 2005 Hi folks: FWIW my current view on this (subject as always to change in the light of new information) is that from whatever equilibrium weight/caloric intake you are starting from, the most appropriate course is to reduce intake by 100 calories, and wait for weight to drop. Then, after the first occurring of A) Ten pounds weight loss, or Three months passes, drop intake by another 100 calories ....... then return to A) and repeat until you have reached your ideal body measure - BMI? BF%? WC/H? Waist-to- hip? ...... . Perhaps it is best to use a combination of all these different measures. The point is that a 100 reduction in calories from your previous equilibrium intake will induce appreciable weight loss. People whose body measurements indicate they are grossly obese could probably initially go for larger reductions. Just my take. Rodney. > > After four weeks I was amazed. I hadn't lost much of anything at all. > I weighed 220, I was 6'1 " and only lost about two pounds. I was also > hydrostaticaly weighing myself and was not gaining muscle either. I > finally quit this and started eating more like 2000 caloris and my > weight dropped to 200 lbs fairly quickly. > > I am interested in getting my caloric intake down to no more than 1200 > calories a day and possibly lower, but I am doing it slowly and doing > tons of nutritional research. > > > Bob S. > > - > Quote Link to comment Share on other sites More sharing options...
Guest guest Posted December 3, 2005 Report Share Posted December 3, 2005 Hi folks: FWIW my current view on this (subject as always to change in the light of new information) is that from whatever equilibrium weight/caloric intake you are starting from, the most appropriate course is to reduce intake by 100 calories, and wait for weight to drop. Then, after the first occurring of A) Ten pounds weight loss, or Three months passes, drop intake by another 100 calories ....... then return to A) and repeat until you have reached your ideal body measure - BMI? BF%? WC/H? Waist-to- hip? ...... . Perhaps it is best to use a combination of all these different measures. The point is that a 100 reduction in calories from your previous equilibrium intake will induce appreciable weight loss. People whose body measurements indicate they are grossly obese could probably initially go for larger reductions. Just my take. Rodney. > > After four weeks I was amazed. I hadn't lost much of anything at all. > I weighed 220, I was 6'1 " and only lost about two pounds. I was also > hydrostaticaly weighing myself and was not gaining muscle either. I > finally quit this and started eating more like 2000 caloris and my > weight dropped to 200 lbs fairly quickly. > > I am interested in getting my caloric intake down to no more than 1200 > calories a day and possibly lower, but I am doing it slowly and doing > tons of nutritional research. > > > Bob S. > > - > Quote Link to comment Share on other sites More sharing options...
Guest guest Posted December 3, 2005 Report Share Posted December 3, 2005 >>It's important not to drink a lot at once as it will cause a glycemic reaction that makes one very hungry. Congrats on your weight loss. But, dont be fooled by nonsense like the glycemic index Hi vs Lo glycemic diets have been tested against each other with equal calories for weight loss and there is no difference. Glycemic index, when understood and evaluated for what it may be more of a " marker " for than what it actually may or may not (!) do, reveals a consistent pattern (as evidenced below).... unrefined unprocessed carbohydrates that are high in fiber and low in calorie density, and high in nutrient density are some of the best foods for weight loss. And, they are also the foods that have been tested out and proven to be the highest in satiety in real life settings Its not the GI or even the GL. It only appears that way to some. Correlation, not causeation Again, congrats Jeff Dietary Glycemic Index and Glycemic Load, Carbohydrate and Fiber Intake, and Measures of Insulin Sensitivity, Secretion, and Adiposity in the Insulin Resistance Atherosclerosis Study D. Liese, PHD, MPH1, Mandy Schulz, MSC, MSPH1,2, Fang Fang, MSC1, M.S. Wolever, MD, PHD3, Ralph B. D'Agostino, Jr, PHD4, C. Sparks, MSPH1 and J. Mayer-, PHD1,5 OBJECTIVE-We studied the association of digestible carbohydrates, fiber intake, glycemic index, and glycemic load with insulin sensitivity (SI), fasting insulin, acute insulin response (AIR), disposition index, BMI, and waist circumference. RESEARCH DESIGN AND METHODS-Data on 979 adults with normal (67%) and impaired (33%) glucose tolerance from the Insulin Resistance Atherosclerosis Study (1992-1994) were analyzed. Usual dietary intake was assessed via a 114-item interviewer-administered food frequency questionnaire from which nutrient intakes were estimated. Published glycemic index values were assigned to food items and average dietary glycemic index and glycemic load calculated per subject. SI and AIR were determined by frequently sampled intravenous glucose tolerance test. Disposition index was calculated by multiplying SI with AIR. Multiple linear regression modeling was employed. RESULTS-No association was observed between glycemic index and SI, fasting insulin, AIR, disposition index, BMI, or waist circumference after adjustment for demographic characteristics or family history of diabetes, energy expenditure, and smoking. Associations observed for digestible carbohydrates and glycemic load, respectively, with SI, insulin secretion, and adiposity (adjusted for demographics and main confounders) were entirely explained by energy intake. In contrast, fiber was associated positively with SI and disposition index and inversely with fasting insulin, BMI, and waist circumference but not with AIR. CONCLUSION-Carbohydrates as reflected in glycemic index and glycemic load may not be related to measures of insulin sensitivity, insulin secretion, and adiposity. Fiber intake may not only have beneficial effects on insulin sensitivity and adiposity, but also on pancreatic functionality. Diabetes Care 28:2978-2979, 2005 © 2005 by the American <http://care.diabetesjournals.org/misc/terms.shtml> Diabetes Association, Inc. _____ Editorials Do Glycemic Index, Glycemic Load, and Fiber Play a Role in Insulin Sensitivity, Disposition Index, and Type 2 Diabetes? Xavier Pi-Sunyer, MD From the Division of Endocrinology, Diabetes and Nutrition, St. Luke's-Roosevelt Hospital Center, Columbia University, New York, New York Address correspondence to Dr. Xavier Pi-Sunyer, Division of Endocrinology, Diabetes, and Nutrition, St. Luke's-Roosevelt Hospital Center, 1111 Amsterdam Ave., New York, NY. E-mail: <mailto:fxp1@...> fxp1@... In this issue of Diabetes Care, Liese et al. (1 <http://care.diabetesjournals.org/cgi/content/full/28/12/2978#R1#R1> ) report on the relation of dietary glycemic index, glycemic load, carbohydrate, and fiber intake to measures of insulin sensitivity, insulin secretion, and adiposity in the Insulin Resistance Atherosclerosis Study (IRAS). The evaluation was confined to those with normal or impaired glucose tolerance and did not include diabetic individuals. As the authors state, there has been no previous large epidemiologic study relating glycemic index and glycemic load to direct measures of insulin sensitivity and insulin secretion, whose dysfunction are the two hallmarks leading to type 2 diabetes. There are some caveats to this study that must be pointed out. First, it is a cross-sectional study looking at one point in time. Longitudinal studies are certainly preferable. Second, it is an observational study and interventional studies are more valuable, though much more difficult and expensive to carry out. Third, the food frequency questionnaire used in this study was not specifically designed to test for glycemic index and glycemic load. While it has been validated as an overall instrument, it has not been validated for reproducibility and reliability as an appropriate glycemic index instrument, and this needs to be done by the IRAS group. This field has been dogged by the inaccuracy of dietary records and the difficulty in calculating dietary glycemic index and glycemic load levels of individuals from their reported intake of foods. Validation of experimental instruments is crucial. Fourth, the minimal model was instituted using 30 plasma samples to calculate insulin sensitivity (2 <http://care.diabetesjournals.org/cgi/content/full/28/12/2978#R2#R2> ). This study used 12. While this seems reasonable in a large epidemiological study, the reliability is likely to not be as high as using the originally described method. Having said the above, the study reports very interesting results. IRAS showed a lack of association of glycemic index, glycemic load, and carbohydrate intake with measures of insulin sensitivity, insulin secretion, and adiposity, adjusting for energy intake. It also showed fiber to have a positive association with insulin sensitivity and an inverse association with adiposity and disposition index. Insulin sensitivity is a very important component of carbohydrate homeostasis. Individuals with insulin resistance are more likely to eventually develop type 2 diabetes. The potential effect of diet on this physiological state is thus important in gauging risk. In short-term interventional metabolic studies in small numbers of people, the best trial to date, e.g., the longest and most comprehensive, has shown an improvement in insulin sensitivity with a high-as opposed to a low-glycemic index diet (3 <http://care.diabetesjournals.org/cgi/content/full/28/12/2978#R3#R3> ). Other less rigorous studies have shown mixed results. Let me deal with fiber first. The benefit of fiber in the diet on a number of chronic diseases has been documented repeatedly in epidemiological studies. An increased consumption has been associated with lower incidence of diabetes, coronary artery disease, and obesity in observational studies. With regard to diabetes, most studies have singled out cereal fiber as the important component, with other types of fiber giving much lower or no association. However, as stated in a report of the National Academy of Sciences " there is no conclusive evidence that it is dietary fiber rather than the other components of vegetables, fruits, and cereal products that reduces the risk of those diseases " (4 <http://care.diabetesjournals.org/cgi/content/full/28/12/2978#R4#R4> ). The present study breaks no new ground here, it just bolsters previous data impressively, suggesting that the effect on lowering risk of type 2 diabetes may work through enhancing insulin sensitivity. It supports the recommendation in the 2005 dietary guidelines for Americans (5 <http://care.diabetesjournals.org/cgi/content/full/28/12/2978#R5#R5> ) to increase their fiber intake. The present U.S. fiber intake is very low and an increase undoubtedly would improve health. The question of glycemic index and glycemic load is more contentious. As the authors state, high-glycemic index diets have been linked to an elevated risk of developing diabetes. There are two reports, one of the Nurses' Health Study (6 <http://care.diabetesjournals.org/cgi/content/full/28/12/2978#R6#R6> ) and the other of the Health Professionals' Study (7 <http://care.diabetesjournals.org/cgi/content/full/28/12/2978#R7#R7> ). However, reading these reports carefully, neither is significant for a glycemic load effect and only one for glycemic index effect at P < 0.04. Other epidemiological, observational, longitudinal studies have shown no significant effect. These include the Iowa Women's study (8 <http://care.diabetesjournals.org/cgi/content/full/28/12/2978#R8#R8> ), the San Valley Study (9 <http://care.diabetesjournals.org/cgi/content/full/28/12/2978#R9#R9> ), and the Atherosclerosis Risk in Communities study (10 <http://care.diabetesjournals.org/cgi/content/full/28/12/2978#R10#R10> ). The present IRAS report bolsters the negative data. A final study, the Nurses Study II, showed a significant effect of glycemic index, but both glycemic load and total carbohydrates were inversely associated with diabetes risk (11 <http://care.diabetesjournals.org/cgi/content/full/28/12/2978#R11#R11> ). These studies tried to relate glycemic index and glycemic load to risk of diabetes, they did not measure insulin sensitivity. Insulin sensitivity generally has been measured in metabolic ward studies with interventional trials of short duration, such as the Kiens and Richter (3 <http://care.diabetesjournals.org/cgi/content/full/28/12/2978#R3#R3> ) study mentioned earlier. The Liese et al. study is the first to try to document the impact of a higher-versus a lower-glycemic index and/or glycemic load diet on insulin sensitivity in a large epidemiological study. They were unable to document a relationship between either glycemic index or glycemic load and insulin sensitivity. A larger observational study in Denmark (12 <http://care.diabetesjournals.org/cgi/content/full/28/12/2978#R12#R12> ) also could not document an association of glycemic index with insulin resistance using a homeostasis model assessment of insulin resistance and found an inverse association between glycemic load and insulin resistance. The IRAS investigators were also unable to find an association of glycemic index and glycemic load with disposition index. The disposition index measures the ability of the pancreas to respond to an increase in insulin resistance with an increased secretion of insulin, thereby maintaining normal blood glucose. An abnormal disposition index suggests ß-cell strain and can lead to eventual ß-cell failure. Thus, the inability to observe an inappropriately low pancreatic response associated with higher glycemic index and glycemic load suggests normal pancreatic functioning on such diets. In the last few years, there has been a very strong push by some investigators to declare a high-glycemic index and a high-glycemic load diet detrimental to health, particularly in relation to the development of obesity and type 2 diabetes. They have pressured public health authorities to recommend that such diets should be restricted for the population at large. But it must be remembered that the concept of the glycemic index was first proposed as a tool to try to improve glucose control in diabetic patients, where it may be of some help to patients with poor postprandial glucose control. But there is a great deal of confusion in interpreting the database available on glycemic index because data from studies in diabetic patients are often quoted to bolster policy suggestions for normal populations. This confusion is not conducive to a clear analysis of the issue. A pro and con discussion of the use of the glycemic index in normal population groups that is relevant in this context was published recently (13 <http://care.diabetesjournals.org/cgi/content/full/28/12/2978#R13#R13> ,14 <http://care.diabetesjournals.org/cgi/content/full/28/12/2978#R14#R14> ). It is important to note that the window of glycemic index variability in a free-living population is quite narrow. This can be seen by the small SD of 4.0 around a mean of 58 in the Liese et al. study. It can also be seen that the glycemic index is actually already quite low. With such a low level of glycemic index and such a small variation around it, what determines the level of the glycemic load is the total amount of carbohydrate that an individual eats. Thus, with a small glycemic index window, the glycemic load primarily reflects the carbohydrate intake. And we know from repeated studies (in fact, all the epidemiological studies mentioned above plus the present IRAS study, plus many others) that no one to date has found that the amount of carbohydrate eaten per day is significantly associated with the development of type 2 diabetes. This then, greatly diminishes the importance of high glycemic load as an important risk. My suggestion then, looking at the present study and others, is that until further evidence is available, we should concentrate on educating the public to opt for higher-fiber foods (especially cereal fiber) and downplay the glycemic index and glycemic load. There is excellent evidence that the higher-fiber foods, made up of whole grains, fruits, and vegetables, will do people good. Footnotes (SEE LIESE ET AL., P. 2832 <http://care.diabetesjournals.org/cgi/lookup?lookupType=volpage & vol=28 & fp=28 32 & view=short> ) References 1. Liese AD, Schulz M, Fang F, Wolever TMS, D'Agostino RB Jr, Sparks KC, Mayer- EJ: Dietary glycemic index and glycemic load, carbohydrate and fiber intake, and measures of insulin sensitivity, secretion, and adiposity in the Insulin Resistance Atherosclerosis Study. Diabetes Care28 :2832 -2838,2005 <http://care.diabetesjournals.org/cgi/ijlink?linkType=ABST & journalCode=diaca re & resid=28/12/2832> [Abstract/Free Full Text] 2. Steil GM, Volund A, Kahn SE, Bergman RN: Reduced sample number for calculation of insulin sensitivity and glucose effectiveness from the minimal model: suitability for use in population studies. Diabetes42 :250 -256,1993 <http://care.diabetesjournals.org/cgi/ijlink?linkType=ABST & journalCode=diabe tes & resid=42/2/250> [Abstract] 3. Kiens B, Richter EA: Types of carbohydrate in an ordinary diet affect insulin action and muscle substrates in humans. Am J Clin Nutr63 :47 -53,1996 <http://care.diabetesjournals.org/cgi/ijlink?linkType=ABST & journalCode=ajcn & resid=63/1/47> [Abstract/Free Full Text] 4. National Research Council: Diet and Health: Implications for Lowering Chronic Disease Risk. Washington, DC, National Academy Press,1989 5. USDA dietary guidelines [article online],2005 . Available at http://www.healthierus.gov/dietaryguidelines. Accessed 3 September 2005 6. Salmerón J, Manson JE, Stampfer MJ, Colditz GA, Wing AL, Willett WC: Dietary fiber, glycemic load, and risk of non-insulin-dependent diabetes mellitus in women. JAMA277 :472 -477,1997 <http://care.diabetesjournals.org/cgi/ijlink?linkType=ABST & journalCode=jama & resid=277/6/472> [Abstract] 7. Salmerón J, Ascherio A, Rimm EB, Colditz GA, Spiegelman D, DJ, Stampfer MJ, Wing AL, Willett WC: Dietary fiber, glucemic load, and risk of NIDDM in men. Diabetes Care20 :545 -550,1997 <http://care.diabetesjournals.org/cgi/ijlink?linkType=ABST & journalCode=diaca re & resid=20/4/545> [Abstract] 8. Meyer KA, Kushi LH, s DR, Slavin J, Sellers TA, Folsom AR: Carbohydrates, dietary fiber, and incident type 2 diabetes in older women. Am J Clin Nutr71 :921 -930,2000 <http://care.diabetesjournals.org/cgi/ijlink?linkType=ABST & journalCode=ajcn & resid=71/4/921> [Abstract/Free Full Text] 9. Marshall J, Bessessen D, Hamman R: High saturated fat and low starch and fiber are associated with hyperinsulinemia in a non-diabetic population: the San Valley Diabetes Study. Diabetologia40 :430 -438,1997 <http://care.diabetesjournals.org/cgi/external_ref?access_num=9112020 & link_t ype=MED> [Medline] 10. s J, Ahn K, Juhaeri, Houston D, Steffan L, Couper D: Dietary fiber intake and glycemic index and incidence of diabetes in African-American and white adults: the ARIC study. Diabetes Care25 :1715 -1721,2002 <http://care.diabetesjournals.org/cgi/ijlink?linkType=ABST & journalCode=diaca re & resid=25/10/1715> [Abstract/Free Full Text] 11. Schulze MB, Liu S, Rimm EB, Manson JE, Willett WS, Hu FG: Glycemic index, glycemic load, and dietary fiber intake and incidence of type 2 diabetes in younger and middle-aged women. Am J Clin Nutr80 :348 -356,2004 <http://care.diabetesjournals.org/cgi/ijlink?linkType=ABST & journalCode=ajcn & resid=80/2/348> [Abstract/Free Full Text] 12. Lau C, Faerch K, Glumer C, Tetens I, Pedersen O, Carstensen B, nsen T, Borch-sen K: Dietary glycemic index, glycemic load, fiber, simple sugars, and insulin resistance: the Inter99 Study. Diabetes Care28 :1397 -1403,2005 <http://care.diabetesjournals.org/cgi/ijlink?linkType=ABST & journalCode=diaca re & resid=28/6/1397> [Abstract/Free Full Text] 13. Pi-Sunyer FX: Glycemic index and disease (Review). Am J Clin Nutr76 (Suppl.) :290S -298S, 2002 14. Willett W, Manson J, Liu S: Glycemic index, glycemic load, and risk of type 2 diabetes. Am J Clin Nutr76 (Suppl.) :274S -280S Quote Link to comment Share on other sites More sharing options...
Guest guest Posted December 3, 2005 Report Share Posted December 3, 2005 >>It's important not to drink a lot at once as it will cause a glycemic reaction that makes one very hungry. Congrats on your weight loss. But, dont be fooled by nonsense like the glycemic index Hi vs Lo glycemic diets have been tested against each other with equal calories for weight loss and there is no difference. Glycemic index, when understood and evaluated for what it may be more of a " marker " for than what it actually may or may not (!) do, reveals a consistent pattern (as evidenced below).... unrefined unprocessed carbohydrates that are high in fiber and low in calorie density, and high in nutrient density are some of the best foods for weight loss. And, they are also the foods that have been tested out and proven to be the highest in satiety in real life settings Its not the GI or even the GL. It only appears that way to some. Correlation, not causeation Again, congrats Jeff Dietary Glycemic Index and Glycemic Load, Carbohydrate and Fiber Intake, and Measures of Insulin Sensitivity, Secretion, and Adiposity in the Insulin Resistance Atherosclerosis Study D. Liese, PHD, MPH1, Mandy Schulz, MSC, MSPH1,2, Fang Fang, MSC1, M.S. Wolever, MD, PHD3, Ralph B. D'Agostino, Jr, PHD4, C. Sparks, MSPH1 and J. Mayer-, PHD1,5 OBJECTIVE-We studied the association of digestible carbohydrates, fiber intake, glycemic index, and glycemic load with insulin sensitivity (SI), fasting insulin, acute insulin response (AIR), disposition index, BMI, and waist circumference. RESEARCH DESIGN AND METHODS-Data on 979 adults with normal (67%) and impaired (33%) glucose tolerance from the Insulin Resistance Atherosclerosis Study (1992-1994) were analyzed. Usual dietary intake was assessed via a 114-item interviewer-administered food frequency questionnaire from which nutrient intakes were estimated. Published glycemic index values were assigned to food items and average dietary glycemic index and glycemic load calculated per subject. SI and AIR were determined by frequently sampled intravenous glucose tolerance test. Disposition index was calculated by multiplying SI with AIR. Multiple linear regression modeling was employed. RESULTS-No association was observed between glycemic index and SI, fasting insulin, AIR, disposition index, BMI, or waist circumference after adjustment for demographic characteristics or family history of diabetes, energy expenditure, and smoking. Associations observed for digestible carbohydrates and glycemic load, respectively, with SI, insulin secretion, and adiposity (adjusted for demographics and main confounders) were entirely explained by energy intake. In contrast, fiber was associated positively with SI and disposition index and inversely with fasting insulin, BMI, and waist circumference but not with AIR. CONCLUSION-Carbohydrates as reflected in glycemic index and glycemic load may not be related to measures of insulin sensitivity, insulin secretion, and adiposity. Fiber intake may not only have beneficial effects on insulin sensitivity and adiposity, but also on pancreatic functionality. Diabetes Care 28:2978-2979, 2005 © 2005 by the American <http://care.diabetesjournals.org/misc/terms.shtml> Diabetes Association, Inc. _____ Editorials Do Glycemic Index, Glycemic Load, and Fiber Play a Role in Insulin Sensitivity, Disposition Index, and Type 2 Diabetes? Xavier Pi-Sunyer, MD From the Division of Endocrinology, Diabetes and Nutrition, St. Luke's-Roosevelt Hospital Center, Columbia University, New York, New York Address correspondence to Dr. Xavier Pi-Sunyer, Division of Endocrinology, Diabetes, and Nutrition, St. Luke's-Roosevelt Hospital Center, 1111 Amsterdam Ave., New York, NY. E-mail: <mailto:fxp1@...> fxp1@... In this issue of Diabetes Care, Liese et al. (1 <http://care.diabetesjournals.org/cgi/content/full/28/12/2978#R1#R1> ) report on the relation of dietary glycemic index, glycemic load, carbohydrate, and fiber intake to measures of insulin sensitivity, insulin secretion, and adiposity in the Insulin Resistance Atherosclerosis Study (IRAS). The evaluation was confined to those with normal or impaired glucose tolerance and did not include diabetic individuals. As the authors state, there has been no previous large epidemiologic study relating glycemic index and glycemic load to direct measures of insulin sensitivity and insulin secretion, whose dysfunction are the two hallmarks leading to type 2 diabetes. There are some caveats to this study that must be pointed out. First, it is a cross-sectional study looking at one point in time. Longitudinal studies are certainly preferable. Second, it is an observational study and interventional studies are more valuable, though much more difficult and expensive to carry out. Third, the food frequency questionnaire used in this study was not specifically designed to test for glycemic index and glycemic load. While it has been validated as an overall instrument, it has not been validated for reproducibility and reliability as an appropriate glycemic index instrument, and this needs to be done by the IRAS group. This field has been dogged by the inaccuracy of dietary records and the difficulty in calculating dietary glycemic index and glycemic load levels of individuals from their reported intake of foods. Validation of experimental instruments is crucial. Fourth, the minimal model was instituted using 30 plasma samples to calculate insulin sensitivity (2 <http://care.diabetesjournals.org/cgi/content/full/28/12/2978#R2#R2> ). This study used 12. While this seems reasonable in a large epidemiological study, the reliability is likely to not be as high as using the originally described method. Having said the above, the study reports very interesting results. IRAS showed a lack of association of glycemic index, glycemic load, and carbohydrate intake with measures of insulin sensitivity, insulin secretion, and adiposity, adjusting for energy intake. It also showed fiber to have a positive association with insulin sensitivity and an inverse association with adiposity and disposition index. Insulin sensitivity is a very important component of carbohydrate homeostasis. Individuals with insulin resistance are more likely to eventually develop type 2 diabetes. The potential effect of diet on this physiological state is thus important in gauging risk. In short-term interventional metabolic studies in small numbers of people, the best trial to date, e.g., the longest and most comprehensive, has shown an improvement in insulin sensitivity with a high-as opposed to a low-glycemic index diet (3 <http://care.diabetesjournals.org/cgi/content/full/28/12/2978#R3#R3> ). Other less rigorous studies have shown mixed results. Let me deal with fiber first. The benefit of fiber in the diet on a number of chronic diseases has been documented repeatedly in epidemiological studies. An increased consumption has been associated with lower incidence of diabetes, coronary artery disease, and obesity in observational studies. With regard to diabetes, most studies have singled out cereal fiber as the important component, with other types of fiber giving much lower or no association. However, as stated in a report of the National Academy of Sciences " there is no conclusive evidence that it is dietary fiber rather than the other components of vegetables, fruits, and cereal products that reduces the risk of those diseases " (4 <http://care.diabetesjournals.org/cgi/content/full/28/12/2978#R4#R4> ). The present study breaks no new ground here, it just bolsters previous data impressively, suggesting that the effect on lowering risk of type 2 diabetes may work through enhancing insulin sensitivity. It supports the recommendation in the 2005 dietary guidelines for Americans (5 <http://care.diabetesjournals.org/cgi/content/full/28/12/2978#R5#R5> ) to increase their fiber intake. The present U.S. fiber intake is very low and an increase undoubtedly would improve health. The question of glycemic index and glycemic load is more contentious. As the authors state, high-glycemic index diets have been linked to an elevated risk of developing diabetes. There are two reports, one of the Nurses' Health Study (6 <http://care.diabetesjournals.org/cgi/content/full/28/12/2978#R6#R6> ) and the other of the Health Professionals' Study (7 <http://care.diabetesjournals.org/cgi/content/full/28/12/2978#R7#R7> ). However, reading these reports carefully, neither is significant for a glycemic load effect and only one for glycemic index effect at P < 0.04. Other epidemiological, observational, longitudinal studies have shown no significant effect. These include the Iowa Women's study (8 <http://care.diabetesjournals.org/cgi/content/full/28/12/2978#R8#R8> ), the San Valley Study (9 <http://care.diabetesjournals.org/cgi/content/full/28/12/2978#R9#R9> ), and the Atherosclerosis Risk in Communities study (10 <http://care.diabetesjournals.org/cgi/content/full/28/12/2978#R10#R10> ). The present IRAS report bolsters the negative data. A final study, the Nurses Study II, showed a significant effect of glycemic index, but both glycemic load and total carbohydrates were inversely associated with diabetes risk (11 <http://care.diabetesjournals.org/cgi/content/full/28/12/2978#R11#R11> ). These studies tried to relate glycemic index and glycemic load to risk of diabetes, they did not measure insulin sensitivity. Insulin sensitivity generally has been measured in metabolic ward studies with interventional trials of short duration, such as the Kiens and Richter (3 <http://care.diabetesjournals.org/cgi/content/full/28/12/2978#R3#R3> ) study mentioned earlier. The Liese et al. study is the first to try to document the impact of a higher-versus a lower-glycemic index and/or glycemic load diet on insulin sensitivity in a large epidemiological study. They were unable to document a relationship between either glycemic index or glycemic load and insulin sensitivity. A larger observational study in Denmark (12 <http://care.diabetesjournals.org/cgi/content/full/28/12/2978#R12#R12> ) also could not document an association of glycemic index with insulin resistance using a homeostasis model assessment of insulin resistance and found an inverse association between glycemic load and insulin resistance. The IRAS investigators were also unable to find an association of glycemic index and glycemic load with disposition index. The disposition index measures the ability of the pancreas to respond to an increase in insulin resistance with an increased secretion of insulin, thereby maintaining normal blood glucose. An abnormal disposition index suggests ß-cell strain and can lead to eventual ß-cell failure. Thus, the inability to observe an inappropriately low pancreatic response associated with higher glycemic index and glycemic load suggests normal pancreatic functioning on such diets. In the last few years, there has been a very strong push by some investigators to declare a high-glycemic index and a high-glycemic load diet detrimental to health, particularly in relation to the development of obesity and type 2 diabetes. They have pressured public health authorities to recommend that such diets should be restricted for the population at large. But it must be remembered that the concept of the glycemic index was first proposed as a tool to try to improve glucose control in diabetic patients, where it may be of some help to patients with poor postprandial glucose control. But there is a great deal of confusion in interpreting the database available on glycemic index because data from studies in diabetic patients are often quoted to bolster policy suggestions for normal populations. This confusion is not conducive to a clear analysis of the issue. A pro and con discussion of the use of the glycemic index in normal population groups that is relevant in this context was published recently (13 <http://care.diabetesjournals.org/cgi/content/full/28/12/2978#R13#R13> ,14 <http://care.diabetesjournals.org/cgi/content/full/28/12/2978#R14#R14> ). It is important to note that the window of glycemic index variability in a free-living population is quite narrow. This can be seen by the small SD of 4.0 around a mean of 58 in the Liese et al. study. It can also be seen that the glycemic index is actually already quite low. With such a low level of glycemic index and such a small variation around it, what determines the level of the glycemic load is the total amount of carbohydrate that an individual eats. Thus, with a small glycemic index window, the glycemic load primarily reflects the carbohydrate intake. And we know from repeated studies (in fact, all the epidemiological studies mentioned above plus the present IRAS study, plus many others) that no one to date has found that the amount of carbohydrate eaten per day is significantly associated with the development of type 2 diabetes. This then, greatly diminishes the importance of high glycemic load as an important risk. My suggestion then, looking at the present study and others, is that until further evidence is available, we should concentrate on educating the public to opt for higher-fiber foods (especially cereal fiber) and downplay the glycemic index and glycemic load. There is excellent evidence that the higher-fiber foods, made up of whole grains, fruits, and vegetables, will do people good. Footnotes (SEE LIESE ET AL., P. 2832 <http://care.diabetesjournals.org/cgi/lookup?lookupType=volpage & vol=28 & fp=28 32 & view=short> ) References 1. Liese AD, Schulz M, Fang F, Wolever TMS, D'Agostino RB Jr, Sparks KC, Mayer- EJ: Dietary glycemic index and glycemic load, carbohydrate and fiber intake, and measures of insulin sensitivity, secretion, and adiposity in the Insulin Resistance Atherosclerosis Study. Diabetes Care28 :2832 -2838,2005 <http://care.diabetesjournals.org/cgi/ijlink?linkType=ABST & journalCode=diaca re & resid=28/12/2832> [Abstract/Free Full Text] 2. Steil GM, Volund A, Kahn SE, Bergman RN: Reduced sample number for calculation of insulin sensitivity and glucose effectiveness from the minimal model: suitability for use in population studies. Diabetes42 :250 -256,1993 <http://care.diabetesjournals.org/cgi/ijlink?linkType=ABST & journalCode=diabe tes & resid=42/2/250> [Abstract] 3. Kiens B, Richter EA: Types of carbohydrate in an ordinary diet affect insulin action and muscle substrates in humans. Am J Clin Nutr63 :47 -53,1996 <http://care.diabetesjournals.org/cgi/ijlink?linkType=ABST & journalCode=ajcn & resid=63/1/47> [Abstract/Free Full Text] 4. National Research Council: Diet and Health: Implications for Lowering Chronic Disease Risk. Washington, DC, National Academy Press,1989 5. USDA dietary guidelines [article online],2005 . Available at http://www.healthierus.gov/dietaryguidelines. Accessed 3 September 2005 6. Salmerón J, Manson JE, Stampfer MJ, Colditz GA, Wing AL, Willett WC: Dietary fiber, glycemic load, and risk of non-insulin-dependent diabetes mellitus in women. JAMA277 :472 -477,1997 <http://care.diabetesjournals.org/cgi/ijlink?linkType=ABST & journalCode=jama & resid=277/6/472> [Abstract] 7. Salmerón J, Ascherio A, Rimm EB, Colditz GA, Spiegelman D, DJ, Stampfer MJ, Wing AL, Willett WC: Dietary fiber, glucemic load, and risk of NIDDM in men. Diabetes Care20 :545 -550,1997 <http://care.diabetesjournals.org/cgi/ijlink?linkType=ABST & journalCode=diaca re & resid=20/4/545> [Abstract] 8. Meyer KA, Kushi LH, s DR, Slavin J, Sellers TA, Folsom AR: Carbohydrates, dietary fiber, and incident type 2 diabetes in older women. Am J Clin Nutr71 :921 -930,2000 <http://care.diabetesjournals.org/cgi/ijlink?linkType=ABST & journalCode=ajcn & resid=71/4/921> [Abstract/Free Full Text] 9. Marshall J, Bessessen D, Hamman R: High saturated fat and low starch and fiber are associated with hyperinsulinemia in a non-diabetic population: the San Valley Diabetes Study. Diabetologia40 :430 -438,1997 <http://care.diabetesjournals.org/cgi/external_ref?access_num=9112020 & link_t ype=MED> [Medline] 10. s J, Ahn K, Juhaeri, Houston D, Steffan L, Couper D: Dietary fiber intake and glycemic index and incidence of diabetes in African-American and white adults: the ARIC study. Diabetes Care25 :1715 -1721,2002 <http://care.diabetesjournals.org/cgi/ijlink?linkType=ABST & journalCode=diaca re & resid=25/10/1715> [Abstract/Free Full Text] 11. Schulze MB, Liu S, Rimm EB, Manson JE, Willett WS, Hu FG: Glycemic index, glycemic load, and dietary fiber intake and incidence of type 2 diabetes in younger and middle-aged women. Am J Clin Nutr80 :348 -356,2004 <http://care.diabetesjournals.org/cgi/ijlink?linkType=ABST & journalCode=ajcn & resid=80/2/348> [Abstract/Free Full Text] 12. Lau C, Faerch K, Glumer C, Tetens I, Pedersen O, Carstensen B, nsen T, Borch-sen K: Dietary glycemic index, glycemic load, fiber, simple sugars, and insulin resistance: the Inter99 Study. Diabetes Care28 :1397 -1403,2005 <http://care.diabetesjournals.org/cgi/ijlink?linkType=ABST & journalCode=diaca re & resid=28/6/1397> [Abstract/Free Full Text] 13. Pi-Sunyer FX: Glycemic index and disease (Review). Am J Clin Nutr76 (Suppl.) :290S -298S, 2002 14. Willett W, Manson J, Liu S: Glycemic index, glycemic load, and risk of type 2 diabetes. Am J Clin Nutr76 (Suppl.) :274S -280S Quote Link to comment Share on other sites More sharing options...
Guest guest Posted December 3, 2005 Report Share Posted December 3, 2005 Rodney wrote: > Hi folks: > > FWIW my current view on this (subject as always to change in the > light of new information) is that from whatever equilibrium > weight/caloric intake you are starting from, the most appropriate > course is to reduce intake by 100 calories, and wait for weight to > drop. Then, after the first occurring of A) Ten pounds weight loss, > or Three months passes, drop intake by another 100 > calories ....... then return to A) and repeat until you have > reached your ideal body measure - BMI? BF%? WC/H? Waist-to- > hip? ...... . Perhaps it is best to use a combination of all > these different measures. > > The point is that a 100 reduction in calories from your previous > equilibrium intake will induce appreciable weight loss. People whose > body measurements indicate they are grossly obese could probably > initially go for larger reductions. > > Just my take. > > Rodney. > I will second that suggestion while I doubt many will be that patient. " I want what I want and I want it now.... " That said a first step would be actually eating a constant amount every day/week. I recall when AL, weight would drift up and down as eating patterns drifted about or more folks brought donuts to work.....whatever. Yes absolutely, small incremental changes are preferable. We have the rest of our life to get this right. Adopt new eating patterns. Life is too short to diet. Too fast and too extreme anything is dangerous. JR Quote Link to comment Share on other sites More sharing options...
Guest guest Posted December 3, 2005 Report Share Posted December 3, 2005 Rodney wrote: > Hi folks: > > FWIW my current view on this (subject as always to change in the > light of new information) is that from whatever equilibrium > weight/caloric intake you are starting from, the most appropriate > course is to reduce intake by 100 calories, and wait for weight to > drop. Then, after the first occurring of A) Ten pounds weight loss, > or Three months passes, drop intake by another 100 > calories ....... then return to A) and repeat until you have > reached your ideal body measure - BMI? BF%? WC/H? Waist-to- > hip? ...... . Perhaps it is best to use a combination of all > these different measures. > > The point is that a 100 reduction in calories from your previous > equilibrium intake will induce appreciable weight loss. People whose > body measurements indicate they are grossly obese could probably > initially go for larger reductions. > > Just my take. > > Rodney. > I will second that suggestion while I doubt many will be that patient. " I want what I want and I want it now.... " That said a first step would be actually eating a constant amount every day/week. I recall when AL, weight would drift up and down as eating patterns drifted about or more folks brought donuts to work.....whatever. Yes absolutely, small incremental changes are preferable. We have the rest of our life to get this right. Adopt new eating patterns. Life is too short to diet. Too fast and too extreme anything is dangerous. JR Quote Link to comment Share on other sites More sharing options...
Guest guest Posted December 3, 2005 Report Share Posted December 3, 2005 I get about 15# diff, using Benedict Equation, dropping intake from 1800 to 1700, starting at 175#. It would take 244 days to lose 10 #. That is assuming of course I started at my minimum intake to sustain 175# and reducing that 100 kcals. Also assuming the H-B is applicable to all ages. On 12/24/07 (751 days), I would hit 160 # and reverses a little, assuming that same constant intake of 1700. I included the change in BMR due to age. At age 85, I'd be back to 175#. Yes, a person wishing to hold a certain weight forever would have to control intake to <20 kcals per day. It's not easy. Regards [ ] Re: Effect of Incremental (or Decremental) Changes in Caloric Intake Hi Tony:But isn't Mifflin/St Jeor all about **calculating** the variation in BMR in response to variations in gender, weight, height, and age? And for a given individual at a given time in his/her life weight is the only item among those that varies.On the weekend I try to get to showing you how I arrived at the fifteen pound number. By the way my oxidizing sample of safflower oil remains completely colorless, and it now has a completely transparent solid layer about one-tenth of an inch thick on the surface.Rodney. > > >> > > I did some calculations using the Mifflin-St Jeor equations for > > weight> > > vs BMR. Since the equations are linear, the number of calories per> > > pound is 4.4 at age 35 and 4.6 at age 65.> > > > > > This means that if you go from 200 to 150 pounds, you will need> > > approximately 50*4.5 = 225 calories less to maintain the same level > > of> > > activity.> > > > > > Every pound of weight gain requires the equivalent of 1/3 teaspoon > > of> > > sugar for maintenance!> > > > > > Tony> > >> Quote Link to comment Share on other sites More sharing options...
Guest guest Posted December 3, 2005 Report Share Posted December 3, 2005 I get about 15# diff, using Benedict Equation, dropping intake from 1800 to 1700, starting at 175#. It would take 244 days to lose 10 #. That is assuming of course I started at my minimum intake to sustain 175# and reducing that 100 kcals. Also assuming the H-B is applicable to all ages. On 12/24/07 (751 days), I would hit 160 # and reverses a little, assuming that same constant intake of 1700. I included the change in BMR due to age. At age 85, I'd be back to 175#. Yes, a person wishing to hold a certain weight forever would have to control intake to <20 kcals per day. It's not easy. Regards [ ] Re: Effect of Incremental (or Decremental) Changes in Caloric Intake Hi Tony:But isn't Mifflin/St Jeor all about **calculating** the variation in BMR in response to variations in gender, weight, height, and age? And for a given individual at a given time in his/her life weight is the only item among those that varies.On the weekend I try to get to showing you how I arrived at the fifteen pound number. By the way my oxidizing sample of safflower oil remains completely colorless, and it now has a completely transparent solid layer about one-tenth of an inch thick on the surface.Rodney. > > >> > > I did some calculations using the Mifflin-St Jeor equations for > > weight> > > vs BMR. Since the equations are linear, the number of calories per> > > pound is 4.4 at age 35 and 4.6 at age 65.> > > > > > This means that if you go from 200 to 150 pounds, you will need> > > approximately 50*4.5 = 225 calories less to maintain the same level > > of> > > activity.> > > > > > Every pound of weight gain requires the equivalent of 1/3 teaspoon > > of> > > sugar for maintenance!> > > > > > Tony> > >> Quote Link to comment Share on other sites More sharing options...
Guest guest Posted December 3, 2005 Report Share Posted December 3, 2005 Depends on how often you are eating the rather restricted yogurt stuff. As healthy as it sounds, the best diets are those consisting of a much wider variety of healthy foods. See " CRON Checklist for Food Variety " in our files. We do not advocate restricted diets which only contain a few food items. The majority of us in this group, myself included, got down to CRON weight by following Walford's plan of a much wider variety of veggies, fruits, lean protein and the foods discussed by Walford and in our files. Remember we are not a fad weight loss group. We are more of a " healthy eating " group. Weight loss invariably follows. on 12/2/2005 10:30 PM, rjmsus at rjmsus@... wrote: The best thing for losing weight, in my opinion, is to alternate between regular healthy eating (2000 calories/day for my current weight) and a low calorie (1200-1500) yogurt diet consisting of two large tubs of Dannnon nonfat yogurt, 1/4 cup of ground flax, and 2 cups of fresh squeezed orange juice. Add some stevia for sweetening and some green or herbal tea for more liquid. Add 25 grams of whey for more protein, bringing it up to 113 grams of protein. I mix up the whole batch the night before and drink a cup as soon as I get up. Every hour I drink another cup all day until it is all gone. I eat nothing else. It works so well that I have to remind myself to keep drinking it after the first few cups. bob s. Quote Link to comment Share on other sites More sharing options...
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