you gotta a source for those charts?quikky wrote: ↑Tue Oct 05, 2021 4:11 pmBingo (underlined).Goat wrote: ↑Tue Oct 05, 2021 12:55 pmmbasic wrote: ↑Tue Oct 05, 2021 12:35 pm
Overeating leads to obesity.
That is a lot easier to do with an diet heavy in carbs.
That is also a lot easier to do, by too frequent eating.
It is harder to lose weight (fat), for a majority of the population, by continuing to eat diet heavy in carbs, even though the total calories are lower.
There IS probably something to that whole "insulin model" ...
I do believe it's much trickier to get fat without carbs, but I'm not sure I believe it's specifically to do with the carbs themselves as such.
If you cut out carbs, you cut out the vast majority of hyperpalatable calorie dense foods. But is it the fact that those foods tend to contain carbs that actually make them fattening? I'm not sure it is.
Most of those hyperpalatable foods that people overindulge in that makes them fat seem to be some combination of sugar, salt and fat. French fries? Salt and fat. Donuts? Sugar and fat. Pizza? Salt and fat.
Meanwhile, I'd really like to see a person who got fat by eating oatmeal, because it'd be interesting to meet a fictional person.
Point being, I doubt it's the existence of carbs specifically that makes people fat. It's the combination of high caloric density, hyperpalatability and low satiety.
There's a number of other issues with the carbs make people fat hypothesis. For example:
If carbs make people fat, why do plant based diets usually tend to lead to weight loss (and other improvements in lipids etc.)?
If carbs make people fat, why is it that carb consumption has gone down over the last 20 years or so (if I remember the years correctly), but obesity rates continue to climb?
I think your last point might be referring to the following?
yeah, i'm gonna say fuck those charts.
This is from the actual study ( i think , see the NHANES thing at the bottom?)
BTW, that's "sugar"
Funny enough, this is one the secondary reasons CICO doesn't work: the individual's glaring inability to assess portion size, count calories, macros, etc.The NCHS uses the National Health and Nutrition Examination Survey (NHANES) to determine the sugar consumption per person. This survey assesses food and beverage consumption through an interview based on the self-reported recall of dietary information from a respondent from the last 24 hours [CDC, 2012]. These values are then converted into numerical values for caloric energy intake [Blair et al., 1992]. Although the NHANES has been used frequently to determine the per capita sugar consumption, it has methodological limitations. The majority of the caloric intake measured from this survey were found to be physiologically unlikely due to misreporting, suggesting that it may have a poor ability to estimate population trends in caloric intake, therefore making analyses using data from these surveys extremely limited in utility [Archer et al., 2013].
Because of the demonization (maybe unfairly) of the S.A.D./high carb diet in the late 90's early 2000's, people know/think they should be eating less carbs ... and therefore see themselves with their own rose colored glasses.... "yeah, I've been watching my carb intake lately. sure. I don't drink coke any more; I have an energy drink (orange juice, coffee-milk-shake, etc) after my morning run now. i'm doin' great ! "
Validity of U.S. nutritional surveillance:National Health and Nutrition Examination Survey caloric energy intake data, 1971-2010
https://pubmed.ncbi.nlm.nih.gov/24130784/
Results: The historical rEI/BMR values for men and women were 1.31 and 1.19, (95% CI: 1.30-1.32 and 1.18-1.20), respectively. The historical disparity values for men and women were -281 and -365 kilocalorie-per-day, (95% CI: -299, -264 and -378, -351), respectively. These results are indicative of significant under-reporting. The greatest mean disparity values were -716 kcal/day and -856 kcal/day for obese (i.e., ≥30 kg/m2) men and women, respectively.
Conclusions: Across the 39-year history of the NHANES, EI [Energy Intake] data on the majority of respondents (67.3% of women and 58.7% of men) were not physiologically plausible. Improvements in measurement protocols after NHANES II led to small decreases in underreporting, artifactual increases in rEI, but only trivial increases in validity in subsequent surveys. The confluence of these results and other methodological limitations suggest that the ability to estimate population trends in caloric intake and generate empirically supported public policy relevant to diet-health relationships from U.S. nutritional surveillance is extremely limited.