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Take a look at any of the evidence-based US obesity treatment guidelines. The key criteria for diagnosing overweight and obesity is based on the body mass index (BMI).
The guidelines also use BMI to stratify care options to decrease cardiovascular risk. For example, persons with BMI ≥30 are classified as having obesity, and antiobesity medications are recommended. Those with BMI ≥ 40 are classified as having severe obesity, and metabolic bariatric surgery may be appropriate.
But where did these cutoff points for more and less aggressive treatments come from? These BMI cutoffs are based primarily on mortality data collected from large non-Hispanic White populations, without data on potential differences by gender and ethnicity.
For example, it is certainly true that those with BMI ≥ 30 have more cardiovascular risk factors than those with BMI < 30. But Asian American individuals have more risk factors at lower BMIs than do White or African American individuals likely because of more visceral fat accumulation at lower BMIs.
Besides the variation in gender and ethnicity, BMI does not take the type and location of body fat into consideration. Adipose tissue in visceral or ectopic areas have much higher risks for disease than subcutaneous adipose tissue because of the associated inflammation. Measures such as waist circumference, waist-to-hip ratio, and skinfold measurements aim to capture this aspect but often fall short because of variation in techniques.
BMI does not account for muscle mass either, so fit athletes and bodybuilders can be classified as having obesity by BMI alone. More accurate body fat percent measures, such as dual-energy X-ray absorptiometry or MRI specifically for ectopic fat, are labor intensive, expensive, and not feasible to perform in a busy primary care or endocrinology clinic.
Assessing Risks From Obesity Beyond BMI
Clearly, better risk measures than BMI are needed, but until they are available, supplemental clinical tools can aid diagnosis and treatment decisions at obesity medicine specialty centers, endocrinology and diabetes centers, and those centers that focus on the treatment of obesity.
For example, a seca scale can measure percent body fat by bioelectric impedance analysis. This technique also has its limitations, but for persons who are well hydrated, it can be used as a baseline to determine efficacy of behavioral interventions, such as resistance-exercise training and a high-protein diet to protect muscle mass as the patient loses weight.
A lot also can be gleaned from diet and exercise history, social history, family history, and physical exam as well as laboratory analyses. For example, an Asian American patient with a BMI of 26 who has been gaining weight mostly in the abdominal region after age 35 years is likely to have cardiometabolic risk, and a family history can solidify that. An exam can show signs of acanthosis nigricans or an enlarged liver and generous abdominal adipose tissue. This would be the patient in whom you would want to obtain a hemoglobin A1c measurement in the chance that it is elevated at > 5.7 mg/dL, suggesting high risk for type 2 diabetes.
A Fibrosis-4 score can assess the risk for liver disease from aspartate transaminase and alanine aminotransferase and platelet count and age, providing clues to cardiometabolic disease risk.
In the next 10, years there may be a better measure for cardiometabolic risk that is more accurate than BMI is. It could be the sagittal abdominal diameter, which has been purported to more accurately measure visceral abdominal fat. But this has not made it to be one of the vital signs in a busy primary care clinic, however.
Will New Body Fat Tools Change Practice?
In the next 10 years, there may be an affordable gadget to scan the body to determine visceral vs subcutaneous deposition of fat — like radiography for tissue. Now, three-dimensional (3D) total-body scanners can obtain body composition, but they are extremely expensive. The more important clinical question is: How will the use of these imaging modalities change your practice protocol for a particular patient?
Think about the FibroScan, a type of ultrasound used to determine fatty liver disease and fibrosis. We order the test for those patients in whom we already have a strong suspicion for liver disease and, in obesity practices, for fatty liver and metabolic-associated fatty liver disease or metabolic associated steatohepatitis.
The test results do much to educate the patient and help the patient understand the need for aggressive treatment for their obesity. But it doesn’t necessarily change the clinician’s practice protocols and decisions. We would still recommend weight management and medications or surgery to patients regardless of the findings.
A FibroScan is an expense, and not all primary care or endocrine practitioners may feel it necessary to purchase one for the added benefit of patient education. And I would argue that a 3D body scanner is a great tool but more for educational purposes than to really determine practice decision-making or outcomes.
In the meantime, an old-fashioned physical examination, along with a thorough medical, social, and family history should give even the busiest primary care provider enough information to decide whether their patient is a candidate for preventive measures to reduce body fat with diet, exercise, and medication as well as whether the patient is a candidate for metabolic bariatric surgery. Higher suspicion of cardiovascular risk at lower BMI ranges for various ethnicities can help primary care providers pick up on the patients with low BMI but who are at higher risk for type 2 diabetes or prediabetes and cardiovascular disease.
So the answer to whether we need a better measure than the BMI: Yes, we do. We need a physical examination on all patients.
Dr. Apovian, professor of medicine, Harvard Medical School, and codirector, Center for Weight Management and Wellness, Brigham and Women’s Hospital, both in Boston, Massachusetts, disclosed ties with Altimmune, CinFina Pharma, Cowen and Company, EPG Communication Holdings, Form Health, Gelesis, L-Nutra, NeuroBo Pharm, Novo, OptumRx, Pain Script, Palatin, Pursuit by You, Roman Health, Xeno, and Riverview School.
A version of this article appeared on Medscape.com.
Take a look at any of the evidence-based US obesity treatment guidelines. The key criteria for diagnosing overweight and obesity is based on the body mass index (BMI).
The guidelines also use BMI to stratify care options to decrease cardiovascular risk. For example, persons with BMI ≥30 are classified as having obesity, and antiobesity medications are recommended. Those with BMI ≥ 40 are classified as having severe obesity, and metabolic bariatric surgery may be appropriate.
But where did these cutoff points for more and less aggressive treatments come from? These BMI cutoffs are based primarily on mortality data collected from large non-Hispanic White populations, without data on potential differences by gender and ethnicity.
For example, it is certainly true that those with BMI ≥ 30 have more cardiovascular risk factors than those with BMI < 30. But Asian American individuals have more risk factors at lower BMIs than do White or African American individuals likely because of more visceral fat accumulation at lower BMIs.
Besides the variation in gender and ethnicity, BMI does not take the type and location of body fat into consideration. Adipose tissue in visceral or ectopic areas have much higher risks for disease than subcutaneous adipose tissue because of the associated inflammation. Measures such as waist circumference, waist-to-hip ratio, and skinfold measurements aim to capture this aspect but often fall short because of variation in techniques.
BMI does not account for muscle mass either, so fit athletes and bodybuilders can be classified as having obesity by BMI alone. More accurate body fat percent measures, such as dual-energy X-ray absorptiometry or MRI specifically for ectopic fat, are labor intensive, expensive, and not feasible to perform in a busy primary care or endocrinology clinic.
Assessing Risks From Obesity Beyond BMI
Clearly, better risk measures than BMI are needed, but until they are available, supplemental clinical tools can aid diagnosis and treatment decisions at obesity medicine specialty centers, endocrinology and diabetes centers, and those centers that focus on the treatment of obesity.
For example, a seca scale can measure percent body fat by bioelectric impedance analysis. This technique also has its limitations, but for persons who are well hydrated, it can be used as a baseline to determine efficacy of behavioral interventions, such as resistance-exercise training and a high-protein diet to protect muscle mass as the patient loses weight.
A lot also can be gleaned from diet and exercise history, social history, family history, and physical exam as well as laboratory analyses. For example, an Asian American patient with a BMI of 26 who has been gaining weight mostly in the abdominal region after age 35 years is likely to have cardiometabolic risk, and a family history can solidify that. An exam can show signs of acanthosis nigricans or an enlarged liver and generous abdominal adipose tissue. This would be the patient in whom you would want to obtain a hemoglobin A1c measurement in the chance that it is elevated at > 5.7 mg/dL, suggesting high risk for type 2 diabetes.
A Fibrosis-4 score can assess the risk for liver disease from aspartate transaminase and alanine aminotransferase and platelet count and age, providing clues to cardiometabolic disease risk.
In the next 10, years there may be a better measure for cardiometabolic risk that is more accurate than BMI is. It could be the sagittal abdominal diameter, which has been purported to more accurately measure visceral abdominal fat. But this has not made it to be one of the vital signs in a busy primary care clinic, however.
Will New Body Fat Tools Change Practice?
In the next 10 years, there may be an affordable gadget to scan the body to determine visceral vs subcutaneous deposition of fat — like radiography for tissue. Now, three-dimensional (3D) total-body scanners can obtain body composition, but they are extremely expensive. The more important clinical question is: How will the use of these imaging modalities change your practice protocol for a particular patient?
Think about the FibroScan, a type of ultrasound used to determine fatty liver disease and fibrosis. We order the test for those patients in whom we already have a strong suspicion for liver disease and, in obesity practices, for fatty liver and metabolic-associated fatty liver disease or metabolic associated steatohepatitis.
The test results do much to educate the patient and help the patient understand the need for aggressive treatment for their obesity. But it doesn’t necessarily change the clinician’s practice protocols and decisions. We would still recommend weight management and medications or surgery to patients regardless of the findings.
A FibroScan is an expense, and not all primary care or endocrine practitioners may feel it necessary to purchase one for the added benefit of patient education. And I would argue that a 3D body scanner is a great tool but more for educational purposes than to really determine practice decision-making or outcomes.
In the meantime, an old-fashioned physical examination, along with a thorough medical, social, and family history should give even the busiest primary care provider enough information to decide whether their patient is a candidate for preventive measures to reduce body fat with diet, exercise, and medication as well as whether the patient is a candidate for metabolic bariatric surgery. Higher suspicion of cardiovascular risk at lower BMI ranges for various ethnicities can help primary care providers pick up on the patients with low BMI but who are at higher risk for type 2 diabetes or prediabetes and cardiovascular disease.
So the answer to whether we need a better measure than the BMI: Yes, we do. We need a physical examination on all patients.
Dr. Apovian, professor of medicine, Harvard Medical School, and codirector, Center for Weight Management and Wellness, Brigham and Women’s Hospital, both in Boston, Massachusetts, disclosed ties with Altimmune, CinFina Pharma, Cowen and Company, EPG Communication Holdings, Form Health, Gelesis, L-Nutra, NeuroBo Pharm, Novo, OptumRx, Pain Script, Palatin, Pursuit by You, Roman Health, Xeno, and Riverview School.
A version of this article appeared on Medscape.com.
Take a look at any of the evidence-based US obesity treatment guidelines. The key criteria for diagnosing overweight and obesity is based on the body mass index (BMI).
The guidelines also use BMI to stratify care options to decrease cardiovascular risk. For example, persons with BMI ≥30 are classified as having obesity, and antiobesity medications are recommended. Those with BMI ≥ 40 are classified as having severe obesity, and metabolic bariatric surgery may be appropriate.
But where did these cutoff points for more and less aggressive treatments come from? These BMI cutoffs are based primarily on mortality data collected from large non-Hispanic White populations, without data on potential differences by gender and ethnicity.
For example, it is certainly true that those with BMI ≥ 30 have more cardiovascular risk factors than those with BMI < 30. But Asian American individuals have more risk factors at lower BMIs than do White or African American individuals likely because of more visceral fat accumulation at lower BMIs.
Besides the variation in gender and ethnicity, BMI does not take the type and location of body fat into consideration. Adipose tissue in visceral or ectopic areas have much higher risks for disease than subcutaneous adipose tissue because of the associated inflammation. Measures such as waist circumference, waist-to-hip ratio, and skinfold measurements aim to capture this aspect but often fall short because of variation in techniques.
BMI does not account for muscle mass either, so fit athletes and bodybuilders can be classified as having obesity by BMI alone. More accurate body fat percent measures, such as dual-energy X-ray absorptiometry or MRI specifically for ectopic fat, are labor intensive, expensive, and not feasible to perform in a busy primary care or endocrinology clinic.
Assessing Risks From Obesity Beyond BMI
Clearly, better risk measures than BMI are needed, but until they are available, supplemental clinical tools can aid diagnosis and treatment decisions at obesity medicine specialty centers, endocrinology and diabetes centers, and those centers that focus on the treatment of obesity.
For example, a seca scale can measure percent body fat by bioelectric impedance analysis. This technique also has its limitations, but for persons who are well hydrated, it can be used as a baseline to determine efficacy of behavioral interventions, such as resistance-exercise training and a high-protein diet to protect muscle mass as the patient loses weight.
A lot also can be gleaned from diet and exercise history, social history, family history, and physical exam as well as laboratory analyses. For example, an Asian American patient with a BMI of 26 who has been gaining weight mostly in the abdominal region after age 35 years is likely to have cardiometabolic risk, and a family history can solidify that. An exam can show signs of acanthosis nigricans or an enlarged liver and generous abdominal adipose tissue. This would be the patient in whom you would want to obtain a hemoglobin A1c measurement in the chance that it is elevated at > 5.7 mg/dL, suggesting high risk for type 2 diabetes.
A Fibrosis-4 score can assess the risk for liver disease from aspartate transaminase and alanine aminotransferase and platelet count and age, providing clues to cardiometabolic disease risk.
In the next 10, years there may be a better measure for cardiometabolic risk that is more accurate than BMI is. It could be the sagittal abdominal diameter, which has been purported to more accurately measure visceral abdominal fat. But this has not made it to be one of the vital signs in a busy primary care clinic, however.
Will New Body Fat Tools Change Practice?
In the next 10 years, there may be an affordable gadget to scan the body to determine visceral vs subcutaneous deposition of fat — like radiography for tissue. Now, three-dimensional (3D) total-body scanners can obtain body composition, but they are extremely expensive. The more important clinical question is: How will the use of these imaging modalities change your practice protocol for a particular patient?
Think about the FibroScan, a type of ultrasound used to determine fatty liver disease and fibrosis. We order the test for those patients in whom we already have a strong suspicion for liver disease and, in obesity practices, for fatty liver and metabolic-associated fatty liver disease or metabolic associated steatohepatitis.
The test results do much to educate the patient and help the patient understand the need for aggressive treatment for their obesity. But it doesn’t necessarily change the clinician’s practice protocols and decisions. We would still recommend weight management and medications or surgery to patients regardless of the findings.
A FibroScan is an expense, and not all primary care or endocrine practitioners may feel it necessary to purchase one for the added benefit of patient education. And I would argue that a 3D body scanner is a great tool but more for educational purposes than to really determine practice decision-making or outcomes.
In the meantime, an old-fashioned physical examination, along with a thorough medical, social, and family history should give even the busiest primary care provider enough information to decide whether their patient is a candidate for preventive measures to reduce body fat with diet, exercise, and medication as well as whether the patient is a candidate for metabolic bariatric surgery. Higher suspicion of cardiovascular risk at lower BMI ranges for various ethnicities can help primary care providers pick up on the patients with low BMI but who are at higher risk for type 2 diabetes or prediabetes and cardiovascular disease.
So the answer to whether we need a better measure than the BMI: Yes, we do. We need a physical examination on all patients.
Dr. Apovian, professor of medicine, Harvard Medical School, and codirector, Center for Weight Management and Wellness, Brigham and Women’s Hospital, both in Boston, Massachusetts, disclosed ties with Altimmune, CinFina Pharma, Cowen and Company, EPG Communication Holdings, Form Health, Gelesis, L-Nutra, NeuroBo Pharm, Novo, OptumRx, Pain Script, Palatin, Pursuit by You, Roman Health, Xeno, and Riverview School.
A version of this article appeared on Medscape.com.