Fat: Part Eight

Fat

No More Fear No More Contempt

I covered off in Part Seven all the reasons why the "obesity epidemic" should always appear inquotation marks to indicate that it is a fallacious concept.

But I want to drive a stake into its heart and cover off in detail the issues of weight being linked higher risks of various diseases.

Class 1, 2 and 3 Obesity

Class 1 Obesity: 5’5” 180-209 lbs.  5’10” 210-244 lbs.

Class 2 Obesity: 5’5” 210-239 lbs.  5’10” 245-284 lbs.

Class 3 Obesity: 5’5” 240 lbs. and up.  5’10” 285 lbs. and up.

Only 4.8% of the population in the U.S. is at Class 3 Obesity. [1] Generally it is this small sub-population of ‘the obese’ that is now the focus of more intense scrutiny when it comes to negative health outcomes. 

And even then, evidence so far is not able to show definitive associations between Class 3 Obesity and disease.

Until very recently, the health risks of obesity were thought to be well understood, with a straightforward correlation between increasing obesity and increasing risk of health problems such as type 2 diabetes, coronary heart disease, hypertension, arthritis and cancer. It is becoming clear, however, that the location of fat deposition, variation in the secretion of adipokines and other factors govern whether a particular obese person develops such complications
— 2

Andrew Walley and his colleagues further state in the discussion of their meta-analysis “being obese does not necessarily mean being ill and, indeed, it is likely that very good health is required to establish and to maintain extreme obesity (emphasis mine).”

Fatness and Metabolic Risk Factors for Disease States

David Redden and David Allison in a thorough review of the literature on the genetic associations of obesity and diabetes find that none of the studies have been successfully replicated. [3] The reason non-replication is significant is that it indicates the original data suggesting a link between BMI>30 and diabetes were flawed in some way. Redden and Allison also provide significant detail on how these flaws may have crept into the studies, one of course being publication bias.

Metabolically healthy fat people are at no greater risk for diabetes or cardiovascular disease than so-called healthy-weight people. 

There is great disagreement on how many metabolically healthy fat people there might be, or in fact how to even define metabolically healthy no matter the person’s weight, but that is understandable given that $862 million (USD) in 2009 was allotted by the National Institutes of Health for obesity research. The amount in 2023 was just under 1.2 billion with an additional 261 million going to “childhood obesity” research. [4]

With small sample size, Martin Brochu and his colleagues found almost 40% of the obese women studied were metabolically normal, using insulin resistance as the marker for metabolic abnormality.[5]

Jennifer Kuk and her colleagues used the NHANES III results from 6,011 men and women to announce that only 6% are metabolically normal.[6] In their conclusions they report that the metabolically normal obese prevalence is anywhere from 6% to 38.4%, depending on the cutoffs used. I question their metabolic abnormality definitions that account for the massive drop in the metabolically normal obese population. I am also puzzled by the fact that the American Diabetes Association is not listed within the acknowledgments, and yet the ADA logo is prominently displayed on Figure 1 synthesizing the results of insulin resistance and also metabolic abnormalities for the BMI>30 population under review.

48% of patients with diabetes are below BMI 30. [7] And their outcomes are not good when compared to folks at BMI 30 and above, or those who gain weight once Type 2 has appeared on the scene.

Weight loss was associated with increased total mortality (HR per 1% body weight: 1.13 [1.11 to 1.16]; P < 0.0001), with increased cardiovascular mortality, all-cause hospitalisation and the composite of death, myocardial infarction and stroke. Weight loss of ≥ 7.5% body weight (seen in 18.3% of patients) was the strongest cut-point to predict impaired survival (multivariable adjusted HR 4.42 [3.30 to 5.94]. Weight gain was not associated with increased mortality.
— 8

Shifting the Markers (Yet Again)

In 1997, the standard for diagnosing diabetes was lowered from a fasting blood glucose level of 140 mg/dL to 126 mg/dL. It resulted in an immediate 50% increase in the number of diabetics in the U.S.

There is wide overlap between healthy persons and persons with diabetes in the fasting plasma glucose range of 126 to 140 mg per dL (7.0 to 7.8 mmol per L). Each year only 1 to 5 percent of persons with impaired glucose tolerance develop manifestations of diabetes.After 10 years, most do not have diabetes or have normal results on retesting.Even among Native Americans, a population at high-risk for diabetes, the 10-year incidence of renal failure occurring in those with a fasting plasma glucose level of less than 140 mg per dL (7.8 mmol per L) is only 8.4 cases per 1,000 person-years
— 9

Fatness and diabetes are not dependably associated, and diabetes itself is likely overly-diagnosed in our populations since the 1997 adoption of lower fasting blood glucose markers. The Centers for Disease Control and Prevention, when publishing data on the National Health and Nutrition Examination Survey (NHANES), found that incidence of diabetes was not increasing and that this was unexpected given increasing prevalence of overweight and BMI>30 up to that point in time. [10]

Fatness, Sleep Apnea and Hypertension

Obstructive sleep apnea is repetitive obstruction of the airway such that the person stops breathing while sleeping. The ensuing lack of oxygen forces the person awake. It is associated with daytime sleepiness, due to fragmented and interrupted sleep, and an increased risk of hypertension (high blood pressure). Obstructive sleep apnea is present in approximately 50% of all patients with cardiovascular disease. [11]

79% of of those with sleep apnea are of average weight (25%) or under BMI 30 (54%). [12] And therein lies the problem with all these correlations and risk-factors for future disease states: none of it amounts to a hill of beans. Sleep apnea occurs across the entire population in numbers that just reflect the natural bell-shaped curve of BMI. Hypertension is a risk of a future disease state, which means sleep apnea is a double-nested “future possible disease state” marker. And finally half of all those with active cardiovascular disease (a real disease state) do not have sleep apnea.

Fatness and Cardiovascular Disease

Another set of researchers decided to take NHANES (1999-2004) with a sample of 5,440 participants to assess cardio-metabolic risk factors for the obese population.

Rachel Wildman and her colleagues defined cardio-metabolic abnormalities as: elevated triglycerides, fasting plasma glucose, C-reactive protein (indicating inflammation), insulin resistance and low HDL cholesterol levels. They found 23.5% of those at a normal weight were cardio-metabolically abnormal. 51.3% of overweight (BMI 25-29.9) and 31.7% of obese (above BMI 30) were cardio-metabolically normal. [13].

Despite assertions that obesity causes heart disease, the preponderance of autopsy and coronary angiography studies indicates that obesity is unrelated to cardiovascular disease. In fact, the largest of the angiographic studies — more than 4,500 subjects, published in 1991 — revealed that the fattest men and women had the cleanest arteries. The massive International Atherosclerosis Project (1960s) concluded after analysis of 23,000 sets of coronary vessels that there was no relationship between heart disease and body fat.
— 14

The Framingham Heart Study original cohort in 1948 included 2,336 men and 2,873 women from Massachusetts who were between the ages of 30 to 62. Subsequent cohorts have been studied since that time as well. [15] Lauren Lissner and her colleagues reviewed the Framingham Heart Study results and were able to identify that excess cardiovascular disease mortality rates in the obese could be explained by weight cycling (yo-yo dieting), something I will discuss further in Part Nine. [16]

And how you come to your fatness is critical in defining cardiovascular disease risk. High birth weight increases the chance of fatness in later life but paradoxically also lowers the risk of cardiovascular disease.[17]

And finally, in patients with advanced heart failure, BMI>30 is not associated with increased mortality and provides more favourable outcomes. [18],[19].

BMI>30 people with cardiovascular illness (mentioned above), pneumonia, high blood pressure, congestive heart failure (mentioned above), type 2 diabetes (mentioned above), those needing hemodialysis and those who have undergone heart transplants all have better outcomes than lean people with the same conditions. [20],[21],[22],[23]

The takeaway point from this entire section is that fatness is not an automatic disease state nor does it automatically involve increased risks of diseases and early death.

Furthermore Katherine Flegal and her colleagues’ review of the NHANES data (I, II, and III) suggest unequivocally that being above so-called average (BMI 25-29.9) generated 86, 094 fewer deaths than expected. That means negative 86,094 deaths (or 86,094 living participants were expected to have died within the study timeframe). [24]

Nonetheless, in a complex interplay of the body’s inflammatory responses, clinical data do show that for BMI>30 at its most severe (and under age 70) there is an increase in deaths associated with cardiovascular disease, diabetes, kidney disease, as well as colon, breast, pancreatic, uterine and ovarian cancers. The death risks decrease with age and disappear by age 70. [25] Problematically much of the increased death associated with these cancers in those BMI>30 appears to be the inadequate treatment they will receive. [26],[27]

Death may be more likely to occur because both overweight and BMI>30 patients receive inadequate screening and in particular intentionally inadequate chemotherapeutic dosing.[28]

Before I get into the presumed value of exercise for all sizes, I want to turn my attention to some of the societal, political and prejudicial aspects of fat.

Childhood Fatness and Social Services

Last month social workers in Ohio removed a 200 lb. 8-year old boy from his home stating that the mother had not been doing enough to control his weight.[29]

The news coverage states the boy was at risk for such ‘diseases’ as diabetes and high blood pressure. He came to the attention of the authorities in 2010 when he was hospitalized with severe breathing problems and was diagnosed with sleep apnea for which he uses a continuous positive airway pressure (CPAP) machine at night now.

It appears as though the only definitive diagnosis is sleep apnea. If he does not currently suffer from diabetes or high blood pressure (which I determined given the parents’ lawyers’ statements), then it is shocking his medical team would allow for his removal into State care. And even if he currently suffers from diabetes and/or high blood pressure, these are independent health issues that cannot be resolved through weight loss in any case. 

It also appears as though this boy’s medical team has not learned from the experience of Anamarie Regino of New Mexico. In 2001, she too was yanked away from her parents by social services accusing the mother of not following strict calorie restriction. At the time Anamarie was 3 years old, was 3’6” tall and weighed 124 lbs. To this day a concrete diagnosis eludes Anamarie’s case, but at age 7 she had the bones of a 14 year old, suffers from asthma and sleep apnea (sound familiar?) and she has various mild disabilities. Anamarie Regino is now 14 years old and her weight gain tapered off as she grew.

Anamarie did not improve appreciably in foster care and was subsequently returned to her parents several months later at which point they monitored the mother’s every move for at least another year. Now, diagnosed with a “genetic predisposition to gain weight”, Anamarie is faring well with treatment for insulin resistance and a CPAP machine, but of course is still “morbidly obese”. Sadly Anamarie’s mother passed away on October 7, 2011 making the removal of Anamarie from her mother at age 3 even more tragic, given how little time they were to have together as a family in the end. [30]. For a more detailed look at Anamarie’s case, consider reading: The Obesity Myth, by Paul Campos.

Whatever causes this extreme level of childhood fatness, it is not overfeeding by parents. Shame on the entire medical community for not exercising sufficient curiosity, humbleness and empathy to clearly state that no definitive diagnosis is available and therefore no cause has yet been identified.

Those currently struggling with restrictive eating behaviours, fully a third of our population when both clinical and subclinical cases are amalgamated, are also harmed by this ‘war on obesity’. So pervasive is the unbridled hatred of being naturally anything other than thin, these decisions to put fat taxes on foods and remove children from parents only reinforce tremendous anxiety about what we all eat. 

Exercise: What it Does and Does Not Do

The best thing about being physically active is that it can remediate all health issues that are usually associated with BMI>30 without any appreciable weight loss. Even better, physical activity does not require triathlete level activity, rather the equivalent of about 30 minutes of walking every single day.

Exercise and Hypertension

Exercise lowers blood pressure. [31],[32] And the post-exercise hypotensive period is long and most pronounced for patients diagnosed with hypertension. Changes in diet (not to be confused with restriction of calories at all) can also reverse hypertension, namely the addition of fruits and vegetables into the diet, [33]

Exercise, Insulin Sensitivity and Fat Metabolism

Modest exercise programs (walking at intensity 45–55 or 65–75% heart rate reserve, frequency 3–4 or 5–7 days/week, duration 30 min/session) with absolutely no weight loss improved both glucose and fat metabolism in previously sedentary adults. [34]

These data suggest that exercise training is accompanied by a significant reduction in insulin resistance, as indicated by well-validated surrogate measures. These data also suggest that moderate-intensity exercise is as effective as high-intensity exercise when 400 kcal are expended per session.
— 35

Exercise and Cardiovascular Disease

Even in mid-life, a modest increase in activity is associated with decreased mortality, [36]

Patients with newly diagnosed heart disease who participate in an exercise program report an earlier return to work and improvements in other measures of quality of life, such as more self-confidence, lower stress, and less anxiety. Importantly, by combining controlled studies, researchers have found that for heart attack patients who participated in a formal exercise program, the death rate is reduced by 20% to 25%.
— 37

Exercise and Cancers

Although they have not yet identified the biological mechanisms involved in the protective effect of exercise with colorectal cancer, it nonetheless exists. [38],[39],[40]

Exercise provides more modest protection against endometrial cancer [41] and a reasonable lowering of risk of death from breast cancer.[42]

Exercise and Weight Loss

Following a regular exercise program results in negligible weight loss. [43] Obviously, someone who is BMI 30 is not going to become BMI 20 through exercise intervention. Furthermore, exercise leads to increased energy intake precisely because the body is expending more energy and a body protects its optimal homeodynamic state. [44]

The biggest mistake we have made in our modern society is to assume that we can mess with our bodies’ optimal weight set points. Losing weight through calorie restriction can certainly provide more than 5% weight reduction, but it fails on two counts: 1) it is not sustainable and 2) is damages the body. 

Exercise and Eating Disorders

It should also be noted that the modest benefits of 30 minutes of walking on morbidity and mortality are irrelevant when compared to the massive damage of exercise dependence that is common for those with eating disorders. It cannot be stressed enough that all exercise interventions to lower mortality outcomes are almost always provided as percentage reductions: “24% reduction in mortality for breast cancer survivors, 28% for colorectal cancer survivors.” But of those with either breast cancer or colorectal cancer, 9% of the total studied died, the study does not list the outcomes in real numbers separately. So basically this means exercise reduces the chance you will die of your cancer from 9% down to 6.84% and 6.46% respectively. [45]

The morbidity and mortality impacts of an active eating disorder are far greater than those of even breast cancer or colorectal cancer. Exercise is not indicated for those with a history of an eating disorder as the benefits of exercise require an unconscious ability to increase food intake to match energy expenditure at all times.

Check out Weight Gain Correlates in Literatures for a more recent deep dive into the science of fat. Check out the Exercise series for more information on its implications with an eating disorder.

Part Nine


  1. Ogden CL, Carroll MD, Curtin LR, McDowell MA, Tabak CJ, Flegal KM. Prevalence of overweight and obesity in the United States, 1999-2004. Jama. 2006 Apr 5;295(13):1549-55.

  2. Walley AJ, Blakemore AI, Froguel P. Genetics of obesity and the prediction of risk for health. Human molecular genetics. 2006 Oct 15;15(suppl_2):R124-30.

  3. Redden DT, Allison DB. Nonreplication in genetic association studies of obesity and diabetes research. The Journal of nutrition. 2003 Nov 1;133(11):3323-6.

  4. https://report.nih.gov/funding/categorical-spending#/

  5. Brochu M, Tchernof A, Dionne IJ, Sites CK, Eltabbakh GH, Sims EA, Poehlman ET. What are the physical characteristics associated with a normal metabolic profile despite a high level of obesity in postmenopausal women?. The Journal of Clinical Endocrinology & Metabolism. 2001 Mar 1;86(3):1020-5.

  6. Kuk JL, Ardern CI. Are metabolically normal but obese individuals at lower risk for all-cause mortality?. Diabetes care. 2009 Dec 1;32(12):2297-9.

  7. Slynkova K, Mannino DM, Martin GS, Morehead RS, Doherty DE. The role of body mass index and diabetes in the development of acute organ failure and subsequent mortality in an observational cohort. Critical care. 2006 Oct;10:1-9.

  8. Doehner W, Erdmann E, Cairns R, Clark AL, Dormandy JA, Ferrannini E, Anker SD. Inverse relation of body weight and weight change with mortality and morbidity in patients with type 2 diabetes and cardiovascular co-morbidity: an analysis of the PROactive study population. International journal of cardiology. 2012 Dec 15;162(1):20-6.

  9. Woolf SH, Rothemich SF. New diabetes guidelines: a closer look at the evidence. American family physician. 1998 Oct 15;58(6):1287-90.

  10. https://www.cdc.gov/mmwr/pdf/wk/mm5235.pdf

  11. Logan AG, Bradley TD. Sleep apnea and cardiovascular disease. Current hypertension reports. 2010 Jun;12:182-8.

  12. Gray EL, McKenzie DK, Eckert DJ. Obstructive sleep apnea without obesity is common and difficult to treat: evidence for a distinct pathophysiological phenotype. Journal of Clinical Sleep Medicine. 2017 Jan 15;13(1):81-8.

  13. Wildman RP, Muntner P, Reynolds K, McGinn AP, Rajpathak S, Wylie-Rosett J, Sowers MR. The obese without cardiometabolic risk factor clustering and the normal weight with cardiometabolic risk factor clustering: prevalence and correlates of 2 phenotypes among the US population (NHANES 1999-2004). Archives of internal medicine. 2008 Aug 11;168(15):1617-24.

  14. https://karger.com/pat/article-abstract/30/5/810/381252/The-International-Atherosclerosis-Project?redirectedFrom=PDF

  15. Kannel WB, Larson M. Long-term epidemiologic prediction of coronary disease: the Framingham experience. Cardiology. 1993 Nov 14;82(2-3):137-52.

  16. Singhal A, Wells J, Cole TJ, Fewtrell M, Lucas A. Programming of lean body mass: a link between birth weight, obesity, and cardiovascular disease?. The American journal of clinical nutrition. 2003 Mar 1;77(3):726-30.

  17. Horwich TB, Fonarow GC, Hamilton MA, MacLellan WR, Woo MA, Tillisch JH. The relationship between obesity and mortality in patients with heart failure. Journal of the American College of Cardiology. 2001 Sep;38(3):789-95.

  18. Fonarow GC, Srikanthan P, Costanzo MR, Cintron GB, Lopatin M, ADHERE Scientific Advisory Committee and Investigators. An obesity paradox in acute heart failure: analysis of body mass index and inhospital mortality for 108 927 patients in the Acute Decompensated Heart Failure National Registry. American heart journal. 2007 Jan 1;153(1):74-81.

  19. Jialin W, Yi Z, Weijie Y. Relationship between body mass index and mortality in hemodialysis patients: a meta-analysis. Nephron Clinical Practice. 2013 Nov 22;121(3-4):c102-11.

  20. Singanayagam A, Singanayagam A, Chalmers JD. Obesity is associated with improved survival in community-acquired pneumonia. European Respiratory Journal. 2013 Jul 1;42(1):180-7.

  21. Naidoo K, Yende-Zuma N, Augustine S. A retrospective cohort study of body mass index and survival in HIV infected patients with and without TB co-infection. Infectious diseases of poverty. 2018 Dec;7:1-6.

  22. Foroutan F, Doumouras BS, Ross H, Alba AC. Impact of pretransplant recipient body mass index on post heart transplant mortality: a systematic review and meta‐analysis. Clinical Transplantation. 2018 Aug;32(8):e13348.

  23. Flegal KM, Graubard BI, Williamson DF, Gail MH. Excess deaths associated with underweight, overweight, and obesity. Jama. 2005 Apr 20;293(15):1861-7.

  24. ibid.

  25. Griggs JJ, Sorbero ME, Lyman GH. Undertreatment of obese women receiving breast cancer chemotherapy. Archives of internal medicine. 2005 Jun 13;165(11):1267-73.

  26. Telo GH, Friedrich Fontoura L, Avila GO, Gheno V, Bertuzzo Brum MA, Teixeira JB, Erthal IN, Alessi J, Telo GH. Obesity bias: How can this underestimated problem affect medical decisions in healthcare? A systematic review. Obesity Reviews. 2024 Apr;25(4):e13696.

  27. Griggs JJ, Sorbero ME, Lyman GH. Undertreatment of obese women receiving breast cancer chemotherapy. Archives of internal medicine. 2005 Jun 13;165(11):1267-73.

  28. https://www.upi.com/Top_News/US/2011/11/28/200-pound-child-removed-from-home-because-of-weight/20971322494181/

  29. http://www.abqjournal.com/main/2011/10/08/news/coping-with-a-loss.html/attachment/anamarie-regino

  30. Halliwill JR. Mechanisms and clinical implications of post-exercise hypotension in humans. Exercise and sport sciences reviews. 2001 Apr 1;29(2):65-70.

  31. MacDonald JR. Potential causes, mechanisms, and implications of post exercise hypotension. Journal of human hypertension. 2002 Apr;16(4):225-36.

  32. Appel LJ, Moore TJ, Obarzanek E, Vollmer WM, Svetkey LP, Sacks FM, Bray GA, Vogt TM, Cutler JA, Windhauser MM, Lin PH. A clinical trial of the effects of dietary patterns on blood pressure. New England journal of medicine. 1997 Apr 17;336(16):1117-24.

  33. Duncan GE, Perri MG, Theriaque DW, Hutson AD, Eckel RH, Stacpoole PW. Exercise training, without weight loss, increases insulin sensitivity and postheparin plasma lipase activity in previously sedentary adults. Diabetes care. 2003 Mar 1;26(3):557-62.

  34. ibid.

  35. Quadrilatero J, Hoffman-Goetz L. Physical activity and colon cancer. J Sports Med Phys Fitness. 2003 Jun;43:121-38.

  36. Meyerhardt JA, Heseltine D, Niedzwiecki D, Hollis D, Saltz LB, Mayer RJ, Thomas J, Nelson H, Whittom R, Hantel A, Schilsky RL. Impact of physical activity on cancer recurrence and survival in patients with stage III colon cancer: findings from CALGB 89803. Journal of Clinical Oncology. 2006 Aug 1;24(22):3535-41.

  37. Olson SH, Vena JE, Dorn JP, Marshall JR, Zielezny M, Laughlin R, Graham S. Exercise, occupational activity, and risk of endometrial cancer. Annals of epidemiology. 1997 Jan 1;7(1):46-53.

  38. Holmes MD, Chen WY, Feskanich D, Kroenke CH, Colditz GA. Physical activity and survival after breast cancer diagnosis. Jama. 2005 May 25;293(20):2479-86.

  39. Blix GG, Blix AG. The role of exercise in weight loss. Behavioral Medicine. 1995 Mar 1;21(1):31-9.

  40. Thomas DM, Bouchard C, Church T, Slentz C, Kraus WE, Redman LM, Martin CK, Silva AM, Vossen M, Westerterp K, Heymsfield SB. Why do individuals not lose more weight from an exercise intervention at a defined dose? An energy balance analysis. Obesity Reviews. 2012 Oct;13(10):835-47.

  41. Schmid DL, Leitzmann MF. Association between physical activity and mortality among breast cancer and colorectal cancer survivors: a systematic review and meta-analysis. Annals of oncology. 2014 Jul 1;25(7):1293-311.

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Fat: Part Seven