Posts Tagged ‘BMI’

Time for Obesity in Health Care Reform

September 27th, 2009

January 30, 2009 :: By Morgan Downey

These are exciting times for health care reformers. We seem to have a President who is truly committed to reform of the health care system with the political strength to get his program enacted, at least a good part of it. What is the President’s program and how does or can, obesity be part of it?

First, some parts have already been enacted in the American Recovery and Reinvestment Act (ARRA), aka the Stimulus Bill. Millions of federal dollars are starting to flow into (a) expanded Health Care Information Technology, (b) comparative-effectiveness research and (c) expanded research at the National Institutes of Health. In addition, President Obama and several of his key aides, such as Melody Barnes, Director of Domestic Policy Council, and Peter Orszag, director of Office of Management and Budget have both addressed obesity and its important role in reducing health care costs and increasing the nation’s health.

Second, a major component to be worked on this summer is providing health insurance to millions of Americans without health insurance.

How might these plans affect obesity?

Healthcare Information Technology (HIT) may provide some interesting opportunities. In a few places, extensive clinical databases are already in use which track patients receiving bariatric surgery. The Surgical Review Corporation, for one, has 100,000 surgical patients which are being tracked for long-term outcomes. The Geisinger Medical Center in central Pennsylvania also has extensive database on patients in surgical and medical treatment. Such clinical registries can provide a vast improvement in understanding obesity and its co-morbidities as well as tracking long-term improvements. Doing this in real time with real-world patients can add tremendous information to clinical trials, which, by their nature, have more restrictive populations and end-points. Last year, the National Committee on Quality Assurance (NCQA) expanded the widely used HEDIS system which measures quality in managed care plans to capture Body Mass Index (BMI) for adults and children. The Administration’s emphasis on electronic medical records (EMR) in primary care practice, by requiring capture of BMIs, along with other clinical indicators, such as blood pressure, cholesterol levels and lipids, can provide a tremendous database for researchers and has the potential to greatly improve patient care. But there is a third level as well. Private entities, such as Google and Microsoft, are developing Personal Health Records (PHR) for individuals to track their own information, which might include nutritional and exercise patterns. One can almost envision a system whereby food and exercise diaries, clinical indicators, pharmaceutical and surgical information is available for patients, health care professionals and researchers.

Of course, such systems take a lot of effort. Common terminology must be agreed to. Data has to be able to be verified. Systems have to interface and patient privacy has to be protected. Who owns this information is a critical issue.

Comparative effectiveness research has already received a great deal of funding under ARRA. The Institute of Medicine has a panel recommending research priorities and, given the discussion at a public meeting on March 20, 2009, there is good reason to anticipate that obesity will be one of the priorities. But the question should not be just what is the best way to lose weight. The research should look at weight loss by various interventions against standard treatments for a number of the co-morbid conditions associated with obesity. And, while there is good data on the efficacy of weight loss for resolution of type 2 diabetes and cardiovascular disease, less is know about its efficacy in mobility problems, such as knee and hip replacements, asthma or breast cancer.

Finally, the Obama Administration has an enormous opportunity in the coverage of the uninsured to make a real change for persons with obesity. First, the Administration should oppose using overweight or obesity as a pre-existing exclusion. While we do not know what percent of the uninsured population is overweight or obese, it is unlikely that the rate is any lower than the national averages. To exclude 30-60% of the uninsured population because of their weight would be poor policy indeed. Next, the Administration should provide a full range of interventions from counseling on nutrition and physical activity to pharmaceutical and surgical interventions. Not only would this directly address the source of many of the uninsured population’s health care problems, it could break the logjam of resistance to coverage of obesity prevention and treatment. While these two steps will be costly, we have seen the rising rates of health care costs and obesity go hand-in-hand. Economists today see obesity as a major contributor to chronic illness and its costs. Finally, coverage should be tied into electronic records which can track long term outcomes.

In the April 15, 2009 issue of the Journal of the American Medical Association, Johathan Q. Purnell and David R. Flum estimate that gastric bypass surgery could save 14, 310 diabetes-related deaths over five years. The evidence on the power of weight loss to prevent and improve chronic disease is there, if not yet perfect. The Administration has an opportunity to make a major leap forward in addressing obesity. It should not miss this chance.

Downey Fact Sheet 2 – Quick Facts

September 27th, 2009
The Downey Obesity Report

The Downey Obesity Report

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ADULT OBESITY

The adult obesity rates have risen dramatically from 1960 to today; rates of overweight (BMI >30) have doubled, rates of obesity (BMI 30-39.9) have nearly tripled and rates of extreme or morbid obesity (BMI >40) have nearly increased seven fold.

ADULT (age 20-74) Prevalence 1

Overweight (BMI 25-30) Percentage

1960-1962 31.5%

2005-2006 33%

Obese (BMI>30)

1960-1962 13.4%

2005-2006 35.1%

Extreme or Morbid Obese( BMI>40)

1960-1962 0.9%

2005-2006 6.2%

The rates of obesity only tell half the story. During this period, the total US population has also increased. Therefore, the raw numbers of Americans affected have also increased. Looking at the numbers of people affected, the overweight population has doubled, the obese population has increased 5 fold and the population with extreme or morbid obesity as increased by a factor of nearly 12!

Number of Americans Overweight in 1960: 56.5 million

Number of Americans Overweight in 2006: 94.5 million

Number of Americans Obese in 1960: 24 million

Number of Americans Obese in 2006:
40 million

Number of American with extreme or morbid obesity in 1960:
1.6 million

Number of Americans with extreme or morbid obesity in 2006: 18.6 million

Since 1960-61 to 2006, the number of American adults who became obese or extremely obese*: 61.1 million

Average number per year: 1.3 million

Average number per month: 110,779

Average number per day: 3,693

Average number per hour: 153

Average increase per minute: 2.5

Since 1960-61 to 2006, the number of American adults who became  extremely obese*: 11 million

Average number per year: 240,217 

Average number per month: 20,018

Average number per day: 667

Average number per hour: 27

Adolescents Obesity age 12-19 3

Percent overweight/obese 2005-2006 18%

Young adult Obesity
Ages 18-29

Percent obese 1971-1974 8%

Percent obese 2005 24%

Childhood 2

Ages 6-11 15%

Ages 2-5 11%

Year at which each group will reach 80% obesity 4

All 2072

Men 2077

Women
2058

African American Women 2035

African American Men 2079

Mexican American Women 2073

Mexican American Men 20 91

White Women 2082

White Men
2073

Adipose Tissue (Fat Cells) 5

Age at which typical body has acquired its full number of fat cells: 13

Number of fat cells in average American Adult: 23-65 billion

Number of fat cells in persons with morbid obesity: 37-237 billion

Number of fat cells lost in weight-loss efforts: 0

By Julie Snider for the Downey Obesity Report

By Julie Snider for the Downey Obesity Report

 

Daily Calories Needed and Available 6

Recommended calories per day by typical American adult:

Men 2,400 to 2,800

Women 2,000 to 2,200

Mean (meaning half were above and half below) adult daily calorie intake per day 7 :

Men

1971 2,450

2001-2004 2,593

Women

1971 1,542

2001-2004 1,886

Percent increase in food available for consumption per person from
1970 to 2003: 16%

Amount of food available for each person increase from
1.67 pounds in 1970 to 1.95 pounds in 2003

Daily caloric intake has grown by 523 calories from 1970 to 2003. Leading the way were fats, oils, grains, vegetables and sugars and sweeteners.

U.S. Government Biomedical Research 8

2008 Budget of National Institutes of Health $29.6 billion

NIH Spending 2008 on selected diseases:

Cancer
$5.6 billion

HIV/AIDS funding $2.9 billion

Cardiovascular Disease
$2.0 billion

Heart Disease $1.2 billion

Obesity
$664 million

U. S. Government Infrastructure on Combating Obesity

Name of coordinator of U.S. global anti-obesity efforts:

(Trick question: no such position exists)

Name of White House coordinator of federal anti-obesity efforts:

(Another trick question: no such position exists)

Name of coordinator of Department of Health and Human Services***anti-obesity efforts:

(No such position exists)

*Calculations were made by taking the CDC prevalence figures for 1960-1962 and 2005-2006and multiplying them against US census data for 1960 and census data for 2006,respectively. See Census Bureau Home Page

**Available in this context means the total US calories available for consumption, less spoilage and waste. See ERS/USDA Data – Food Availability (Per Capita) Data System)

*** Department of Health and Human Services includes the National Institutes of Health, the Centers for Disease Control and Prevention, the Centers for Medicare and Medicaid Services, the Food and Drug Administration, Office of the Surgeon General, the Agency for Healthcare Research and Quality among others.)

Notes

1. N C H S – Health E Stats – Prevalence of overweight, obesity and exreme obesity among adults: United States, trends 1960-62 through 2005-2006

2. FASTSTATS – Overweight Prevalence

3. http://www.cdc.gov/nchs/data/hus/hus08.pdf

4. Studies of human adipose tissue. Adipose cell size…[J Clin Invest. 1973] – PubMed Result

5. Will all Americans become overweight or obese? est…[Obesity (Silver Spring). 2008] – PubMed Result. In this estimate, by 2030, 86.3% of adults will be overweight or obese and 51% obese; black women at a level of 96.9% will be the most effected, followed by Mexican-American men (91.1%). By 2048, all American adults would be overweight or obese but black women would reach that milestone by 2034. In children, the authors estimate, rates will nearly double by 2030.

6. http://www.mypyramid.gov/downloads/MyPyramid_Food_Intake_Patterns.pdf

7. http://www.ers.usda.gov/AmberWaves/November05/pdf/FindingsDHNovember2005.pdf

8. NIH Research Portfolio Online Reporting Tool (RePORT) – Estimates of Funding for Various Research, Condition, and Disease Categories (RCDC)

By Julie Snider for the Downey Obesity Report

By Julie Snider for the Downey Obesity Report

Downey Fact Sheet 3 – Costs

September 27th, 2009

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New analysis indicates costs attributed to obesity are estimated to be $147 billion per year. Annual Medical Spending Attributable To Obesity: P…[Health Aff (Millwood). 2009] – PubMed Result In 1998 the medical costs of obesity were estimated to be $78.5 billion, approximately half financed by Medicare or Medicaid.National Medical Spending Attributable To Overweight And Obesity: How Much, And Who’s Paying? — Finkelstein et al., 10.1377/hlthaff.w3.219 — Health Affairs.

Total health care expenditures of obese adults increased by more than 80% from 2001 to 2006.

During this time, the proportion of health care expenditures for obese adults increased from 28.1% of total health expenditures to 35.3%.

The mean annual health care expenditure for obese adults increased from $3,458 in 2001 to $5,148 in 2006. AHRQ News and Numbers: Health Care Spending for Obese U.S. Adults Rose More Than 80 Percent From 2001 to 2006

Total health care costs attributable to obesity/overweight are projected to double every decade, accounting for 16-18% of total US health care costs. Will all Americans become overweight or obese? Will all Americans become overweight or obese? est…[Obesity (Silver Spring). 2008] – PubMed Result compared to about 9% at present.

Elevated BMI levels in children is associated with $14.1 billion in additional prescription drug, emergency room and outpatient visit costs annually, indicating that the economic consequences of childhood obesity are probably much greater than previously indicated. The Impact of Obesity on Health Service Utilizatio…[Obesity (Silver Spring). 2009] – PubMed Result.

Downey Fact Sheet 5 – Measuring Obesity – The Body Mass Index

September 27th, 2009

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How do we know if one is overweight or obese?

There are several methods, but the one most frequently used by researchers and physicians is the Body Mass Index or BMI. The BMI is a mathematical formula involving dividing one’s weight (in kilograms) by one’s height in meters squared. The resulting number is one’s BMI. Thanks to the Internet, there are now a lot of calculators to do the math for us. This is just one of them. Calculate your BMI – Standard BMI Calculator . As you can see from the formula, the BMI is not adjusted for age, gender or other health status. It is meant to be a proxy for excess adipose tissue in the body. It does a pretty good job of that when studying a whole population or a subgroup. At the personal level, it may not be as good an indicator of excess adipose tissue. Waist circumference is sometimes used as an additional assessment of risk because it measures central adiposity, which is more likely to predict the risk for co-morbid conditions. (Generally, one BMI unit is equal to about 5 pounds.)

More sophisticated tools are sometimes used including hydrostatic weighing and DEXA which uses bioelectrical impedance to determine body composition.

The other problem with the BMI has to do with the cut-off points. In other words, what is the range for normal, overweight, obese and morbid obesity. Much research goes into evaluating what are the appropriate cutoffs. The studies are not always very clear…except for the fact that, at some point, increasing weight by any measurement means increased risk for comorbid conditions (See Health Effects) of mortality (See Obesity A to Z). A discussion of the needs for changes in BMI usage in the elderly is reported at An evidence-based assessment of federal guidelines…[Arch Intern Med. 2001] – PubMed Result

BMI may tell us a lot about populations but you might be interested in how your weight compares with others your age, race or gender. See: Average height and weight charts, men and women .

For many years, Americans were familiar with the Metropolitan Life Insurance Weight tables Height & Weight Tables. These tables are often used with patients considering bariatric surgery. Many surgeons discuss weight loss not in terms of BMI units but in terms of Excess Weight or one’s current weight minus the Metropolitan Life ‘ideal weight.’ Excess Weight Loss or EWL, then, becomes the standard to look at weight loss following bariatric surgery.ASMBS – Rationale for Surgery

The search for an improved BMI continues but it is well validated and continues to be used worldwide.

Read more: Pathophysiology of obesity. [Proc Nutr Soc. 2000] – PubMed Result

BMI Calculator Go to Calculate your BMI – Standard BMI Calculator

Background on US BMI criteria: Criteria for definition of overweight in transition: background and recommendations for the United States — Kuczmarski and Flegal 72 (5): 1074 — American Journal of Clinical Nutrition

Comparisons of percentage body fat, body mass inde…[Am J Clin Nutr. 2009] – PubMed Result

How does your weight compare to others of same race, gender and age? See:Average height and weight charts, men and women

Downey Fact Sheet 6 – Morbid Obesity

September 27th, 2009

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Fact Sheet Morbid Obesity

Over two-thirds of Americans are overweight or obese; one-third are obese. But the obesity crisis in the United States is really the crisis of morbid obesity. It is this group – persons with morbid obesity – who have the most comorbid conditions, the highest health care costs and the greatest likelihood of death.

Morbid obesity is defined as a Body Mass Index (BMI) of 40 or more (roughly 100 pounds over ideal weight). (The Body Mass Index is a formula in which the weight in kilograms is divided by height in meters squared. A BMI of 30 to 39.9 is regarded as obese; 25-29.9 overweight and 20-24.9 normal weight; a BMI below 20 is considered unhealthy.) The number of Americans with morbid or severe obesity, defined as 100 pounds or more overweight or a BMI of 40, is growing twice as fast as the number of Americans who are overweight or obese.

The prevalence of Americans with a BMI over 50 has increased by 75 percent from 2000 to 2005. This statistic confirms that the heaviest BMI groups have been increasing at the fastest rates for 20 years. (Increases in morbid obesity in the USA: 2000-2005. [Public Health. 2007] – PubMed Result)

  • The prevalence of morbid obesity is now 1 in 20 Americans. The prevalence is greater among women than men and among African-Americans than among non-Hispanic whites or Hispanics. The mortality due to morbid or extreme obesity is greater among the young than the older adults, greater for men than for women and greater among whites than blacks. Extreme obesity: a new medical crisis in the Unite…[Mayo Clin Proc. 2006] – PubMed Result.
  • Unfortunately, it appears this trend will only grow worse. In a recently published paper, researchers noted the tendency for the heavier to become more heavy, especially among the young and minority groups. Gender-ethnic disparity in BMI and waist circumfer…[Obesity (Silver Spring). 2009] – PubMed Result
  • While this population is only about 5 percent of the total U.S. population or 15 million people, it is greater than the entire population of Illinois and is roughly 3 times as large as the population with Alzheimer’s disease.
  • The prevalence of morbid obesity is now 1 in 20 Americans. The prevalence is greater among women than men and among African-Americans than among non-Hispanic whites or Hispanics. The mortality due to morbid or extreme obesity is greater among the young than the older adults, greater for men than for women and greater among whites than blacks.7 7 Extreme obesity: a new medical crisis in the Unite…[Mayo Clin Proc. 2006] – PubMed Result
  • A recent study found of thousands of employees found that those with morbid obesity have a significantly higher prevalence of more than 102 diseases and conditions out of 131 eligible diseases and conditions than other employees and had a lower prevalence in only 3 categories: normal delivery, placenta previa and liveborn. 8 The impact of morbid obesity and bariatric surgery…[J Occup Environ Med. 2009] – PubMed Result This study also revealed several conditions which were not noted in previous studies including intervertebral disc disorders, malaise and fatigue, anemia, other upper respiratory disease, abdominal pain, nonspecific chest pain.
  • Higher BMI is associated with lower than expected life duration. Excess BMI is responsible for an estimated 95 million years-of-life-lost; white females account for more than 2/3 of the years-of-life-lost. Individual and Aggregate Years-of-life-lost Associ…[Obesity (Silver Spring). 2009] – PubMed Result

Employer Incentives

September 27th, 2009

Employer Wellness Programs

In recent years, employers, mainly large ones, have developed wellness programs designed to promote healthier lifestyles among their employees while at the same time reducing their health care expenses. Recently, questions have arisen addressing how much of an incentive can an employer provide before it becomes a punitive measure. The National Business Group on Health has proposed as part of health care reform that the tax code be amended so that the expense of the employer-sponsored program is not taxed as income to the employee when provided off-site. Likewise, employees would be able to use their own health spending accounts for fitness and weight management.

Others have sought to change current laws to allow employers to provide significant financial rewards to persons with certain conditions under control or, from the other viewpoint, penalize workers who cannot bring such conditions, under control.

New research from the National Bureau for Economic Research indicates that financial rewards for weight loss simply do not work. Outcomes in a Program that Offers Financial Rewards for Weight Loss

Safeway, for example, has been promoting their plan called Health Measures. This plan gives employees reduction in their insurance premiums if they are, and stay, within certain limits on four medical risk factors: smoking, obesity, blood pressure and cholesterol. Rebates for achieving the goals total nearly $800 for an employee or $1,600 for a family. People who test within the limits get lower health premiums at the outset of the year. An employee who fails the obesity test can get a retroactive payment if he or she loses 10% of his or her body weight by the end of the year. But if the person’s BMI is still over 30 at the beginning of the following year, the payment is withheld until the employee reaches the permanent goal of under a BMI of 30. (See, Bensinger Gail, Corporate Wellness, Safeway style, http://www.sfgate.com/cgi-bin/article.cgi?f=/c/a/2009/01/02/CM1714IPV8.DTL&type=health, accessed May 24, 2009)

Legally, the Safeway program may be pushing the envelope. Under the Health Insurance Portability and Accountability Act of 1996 (HIPPA), no person can be denied or charged more for coverage than other similarly situated person (e.g. full time, part time) because of health status, genetic history, evidence of insurability, disability or claims experience. HIPPA “makes it easy for health plans to reward members for participating in health-promotion programs but difficult to reward them for achieving a particular health standard, “ according to Mello and Rosenthal. In one allowable category for wellness programs, employee rewards are based solely on participation. The second category allows rewards based on attainment of a specific standard, such as losing a specific amount of weight, but the financial incentive is limited to less that 20% of the cost of the employee’s coverage. If the person cannot meet the standard if it is unreasonably difficult or medically inadvisable, that person must be offered a reasonable alternative standard. Other federal and state laws also apply to this situation. (Mello MM, Rosenthal MB, Wellness Programs and Lifestyle Discrimination – The Legal Limits, NEJM July 10, 2008; 359: 192-199) Wellness programs and lifestyle discrimination–th…[N Engl J Med. 2008] – PubMed Result

Safeway President Steven Burd has called for overturning the HIPPA 20% rule and the provisions of the Americans with Disabilities Act which prevent companies from being more aggressive about pushing employees reaching specific personal targets.

This is a highly sensitive issue for several reasons:

  1. Obesity is caused by a multitude of factors a few of which are under an individual’s control. By the time a person enters the workforce, the number of fat cells (adipose tissue) has been established and will not change no matter what the intervention, including bariatric surgery. Genetic predisposition and an environment overwhelming favoring the easy availability of food are two extremely strong factors for an individual to try to overcome. Eating and exercise habits are ingrained. It is therefore of some concern that the person who designed the Safeway program, Ken Shaclmut, Senior VP for Strategic Initiatives, indicated, “I want to be clear – we were adamant about designing this program to cover only those things for which our employees had control and which were clearly behavioral in nature. We do not differentiate for genetics and we did everything prospectively and transparently so that everyone had equal opportunity to improve their behaviors.” ( Emphasis added. http://www.thehealthcareblog.com/the_health_care_blog/2008/10/safeway-uses-in.html Accessed May 24, 2009).

A few things about this statement. First, obesity has a strong genetic basis. See, Understanding Obesity.

Second, Mr. Shaclmut may overstate the level of individual control over the three other factors – smoking, blood pressure and cholesterol. What makes these risks controllable has little to do with behavior and more to do with a variety of prescription and over-the-counter drugs for their control. Obesity is, unfortunately, lacking the number and variety of such products.

Three, employers already discriminate against persons with obesity in firing, promotion and hiring decisions. A recent paper addressed 32 experimental studies in weight discrimination in employment. The findings demonstrated that overweight and obese individuals are disadvantaged in workplace interactions, evaluations, and employment outcomes as a result of negative weight stereotypes. (Roehling MV, Pilcher S, Oswald F, Bruce T, The effects of weight bias on job-related outcomes: a meta-analysis of experimental studies. Academy of Management Annual Meeting, Anahiem, CA, 2008 )

Fourth, another recent study for the negative association between BMI and wages is larger in occupations requiring interpersonal skills with presumably more social interactions. This wage penalty increases as employees get older. This study demonstrates that being overweight and obese penalizes the probability of employment across all race and gender groups except for black men and women. (Han E, Norton ED, Stearns SC, Weight and Wages: Fat Versus Lean Paychecks, Health Econ 2009; 18:535-548 Weight and wages: fat versus lean paychecks. [Health Econ. 2009] – PubMed Result)

Fifth, obese employees in firms which provide employer paid health care are paid less than their peers for the same work. This indicates that employers are offsetting the higher health care costs of obese employees with lower wages. Bundorf MK, Bhattacharya J. The Incidence of the Health Care Costs of Obesity, Abstr AcademyHealth Meeting 2004;21: No. 1329. Available at www.nber.org/papers/w11303 – 17k – 2005-05-02)

Sixth, the difficulties of weight loss and maintenance of weight loss need to be understood. About 1/3 of American adults are engaged in weight loss efforts at any given time. Yet, obesity increases. Why is that? Some dieters do succeed in weight loss but few, 5-10%, manage to keep the weight off over the long term. (See, Freedman MR, King J, Kennedy E, Popular Diets: A Scientific Review. 2001, Obesity Res. 9 Suppl.1: 1S-40S. Popular diets: a scientific review. [Obes Res. 2001] – PubMed Result Maintaining weight loss is extremely difficult. As soon as weight starts to decrease, energy expenditure also drops in obese individuals. Not only is resting metabolic rate decreased; non-resting energy expenditure is also less because less mass is being moved. Take the situation with persons with type 2 diabetes, a common chronic disease highly correlated with obesity. Weight loss in this population is very difficult. Typically, patients lose weight over 4-6 months then plateau. Patients generally lose about 4-10% of their baseline weight. Hypothalamic signals in defense of body weight increase and intervene to prevent further weight loss. This initiates a regain of the lost weight. Neurotransmitters are activated to such an extent that the signal levels of increased hunger and decreased satiety become extremely difficult to ignore. Also, most diabetic patients are on anti-diabetes medications, many of which, like insulin, actually cause weight gain. (See, Pi-Sunyer, FX, Weight Loss in Type 2 Diabetic Patients, Diabetes Care, June 2005, 28;6:1526-7 Weight loss in type 2 diabetic patients. [Diabetes Care. 2005] – PubMed Result )

Seventh, employer wellness programs, as they apply to obesity, are not precisely defined. At present they encompass a variety of approaches and do not have a standardized format. It does appear that they provide advice on nutrition and physical activity and perhaps the ill effects of obesity. As such, they would be similar to the behavioral format used as standard therapy for control groups in randomized clinical trials, usually of pharmacological compounds. Such interventions have not been particularly effective. (See, Poston WS, Haddock CK, Lifestyle Treatments in Randomized Clinical Trials of Pharmacotherapies for Obesity. Obesity Research 2001 9;9:552-563. Lifestyle treatments in randomized clinical trials…[Obes Res. 2001] – PubMed Result) However structured, it is impossible to think that an employer wellness program would be as intense and well-funded as the Diabetes Prevention Program (DPP). In this study over 3,000 non-diabetic persons with elevated fasting and plasma glucose concentrations ( but not diabetes) were assigned to placebo, metformin (a drug to treat diabetes) or an intensive life-style modification program with the goal of at least a 7% weight loss and at least 150 minutes of physical activity per week. “The lifestyle modification intervention reduced the incidence of diabetes by 58% compared to 31% in the metformin group. The advantage of lifestyle intervention over metformin was greater in older persons and those with a lower body-mass index than in younger persons and those with higher body-mass index.” The weight loss difference between the lifestyle group and the metformin group was barely 4 pounds after 4 years. Only 10 million persons in the United States resemble the participants in the DPP. (Diabetes Prevention Program Research Group, Reduction in the Incidence of Type 2 Diabetes with Lifestyle Intervention or Metformin, New England Journal of Medicine, 2/7/2002 346:393-403. Reduction in the incidence of type 2 diabetes with…[N Engl J Med. 2002] – PubMed Result)

Eight, employer wellness programs do have adequate evidence of their effectiveness at long term weight loss and maintenance. A CDC Report evaluating such programs reported, “The Task Force determined that insufficient evidence existed to determine the effectiveness of single-component worksite interventions focused on nutrition, physical activity, or other behavioral interventions among adults.” (Katz DL, et al, Public Health Strategies for Preventing and Controlling Overweight and Obesity in School and Worksite Settings, A Report on Recommendations of the Task Force on Community Preventive Services, MMWR, Oct. 7, 2005 Public health strategies for preventing and contro…[MMWR Recomm Rep. 2005] – PubMed Result) More recently, Goetzel and Ozminkowski looked at the health and cost benefits of work site health-promotion programs. Commenting on a 2007 systematic literature review they observed, “Health and productivity outcomes from these interventions were reported from 50 studies qualifying for inclusion in the review. The outcomes included a range of health behaviors, physiologic measurements, and productivity indicators linked to changes in health status. Although many of the changes in these outcomes were small when measured at an individual level, such changes when measured at an individual level were considered substantial.” 38 38 (Goetzel RZ, Ozminkowski RJ, The Health and Cost Benefits of Work Site Health-Promotion Programs. Annu. Rev. Public Health 2008;29:303-23 The health and cost benefits of work site health-p…[Annu Rev Public Health. 2008] – PubMed Result)

Ninth, wellnessand prevention programs also may actually be working at cross purposes. It is not uncommon to see programs stress smoking cessation and weight loss. Rarely, however, do they seem to address the perception that smoking cessation will lead to weight gain. A 1991 study by the Centers for Disease Control published in the New England Journal of Medicine found mean weight gain after smoking cessation was 2.8 kg for men and 3.8 for women. Major weight gain of over 13kg occurred in 9.8% of the men and 13.4% of the women. (Williamson DF, Madans J, Anda RF, Smoking Cessation and severity of weight gain in a national cohort. NEJM, 1991 Mar.14;324 (11):739-45. Smoking cessation and severity of weight gain in a…[N Engl J Med. 1991] – PubMed Result) Smoking creates insulin resistance and is associated with central fat accumulation. As a result, smoking increases the risk of the metabolic syndrome and type 2 diabetes. ( Chiolero A, Consequences of smoking for body weight, body fat …[Am J Clin Nutr. 2008] – PubMed Result ) Weight control advice was not associated with reduction in weight gain after cessation. (See, Parsons AC, Shraim M, Inglis J, Interventions for prevention weight gain after smoking cessation. Cochrane Database Syst. Rev. 2009 Jan. 21;(1):CD006219 Interventions for preventing weight gain after smo…[Cochrane Database Syst Rev. 2009] – PubMed Result

Tenth, to the extent that wellness programs which shift costs to employees create stress, they may actually lead to weight gain. We know that chronic stress is a contributor to obesity and the metabolic syndrome. (See, Kyroou I, Tsigos C Chronic stress, visceral obesity and gonadal dysfunction, Hormones 2008 7(4):287-293. Chronic stress, visceral obesity and gonadal dysfu…[Hormones (Athens). 2008 Oct-Dec] – PubMed Result) Overweight women experience more stressful lives events than normal women. Obese and extremely obese men and women are more likely to report several specific stressful life events and more stressful life events overall compared to normal weight individuals. ( See, Gender differences in associations between stressf…[Prev Med. 2008] – PubMed Result

Twelfth, more punitive employer wellness programs are likely to operate like a tax on overweight employees. Compliance with any weight loss regimen involves both time and money. While employers may bear some of this in their programs, the economic burden is likely to fall mainly on overweight/ obese employees, who have already paid a penalty in their wages for their largely inherited status.

Successful maintainers who have lost at least 30 lbs. for an average of five years expended and average of 1.5 hours a day on exercise and consume less that 1,400-1, 500 calories. (See, Klem, ML, Wing RR, McGuire MT, Seagle HM, Hill JO, A descriptive study of individuals successful at long-term maintenance of substantial weight loss. 1997 Am J Clin Nutr 66;239-246 A descriptive study of individuals successful at l…[Am J Clin Nutr. 1997] – PubMed Result))

A recent collaborative position paper explains the issues of money, place and time stated:

The Role of Money

One hypothesis linking SES variables and childhood obesity is the low cost of widely available energy-dense but nutrient-poor foods. Fast foods, snacks, and soft drinks have all been linked to rising obesity prevalence among children and youth. Fast food consumption, in particular, has been associated with energy-dense diets and to higher energy intake overall. Calorie for calorie, refined grains, added sugars and fats provide inexpensive dietary energy, while more nutrient-dense foods cost more, and the price disparity between the low-nutrient, high-calorie foods and healthier food options continues to grow. Whereas fats and sweets cost only 30% more than 20 years ago, the cost of fresh produce has increased more than 100%. More recent studies in Seattle supermarkets showed that the lowest energy density foods (mostly fresh vegetables and fruit) increased in price by almost 20% over 2 years, whereas the price of energy-dense foods high in sugar and fat remained constant.

Lower cost foods make up a greater proportion of the diet of lower income persons. In U.S. Department of Agriculture (USDA) studies, female recipients of food assistance had more energy-dense diets, consumed fewer vegetables and fruit, and were more likely to be obese. Healthy Eating Index scores are inversely associated with body weight and positively associated with education and income .

The Importance of Place

Knowing the child’s place of residence can provide additional insight into the complex relationships between social and economic resources and obesity prevalence. Area-based SES measures, including poverty levels, property taxes and house values, provide a more objective way to assess the wealth or the relative deprivation of a neighborhood. All these factors affect access to healthy foods and opportunities for physical activity.

Living in high-poverty areas has been associated with higher prevalence of obesity and diabetes in adults, even after controlling for individual education, occupation, and income. In the Harvard Geocoding Study, census tract poverty was a more powerful predictor of health outcomes than was race/ethnicity. Childhood obesity prevalence also varies by geographic location. The California Fitnessgram data showed that higher prevalence of childhood obesity was observed in lower income legislative districts. In Los Angeles, obesity in youth was associated with economic hardship level and park area per capita. Thus, the built environment and disadvantaged areas may contribute in significant ways to childhood obesity.

The Poverty of Time

The loss of manufacturing jobs, the growth of a service economy and the increasing number of women in the labor force have been associated with a dramatic shift in family eating habits, from the decline of the family dinner to the emerging importance of snacks and fast foods. The allocation of time resources by individuals and households depends on socioeconomic status.

The concept of “time poverty” addresses the difficult choices faced by lower income households. When it comes to diet selection, the common tradeoff is between money and time. One illustration of the dilemma is provided by the Thrifty Food Plan (TFP), a recommended diet meeting federal nutrition recommendations at the estimated cost of $27 per person per week. While this price is attractive, it has been estimated that TFP menus would require the commitment of 16 hours of food preparation per week. By contrast, a typical working American woman spends only 6 hours per week, whereas a non-working woman spends 11 hours per week preparing meals . Thus, TFP may provide adequate calories at low cost, but requires an unrealistic investment in time. ( See, Caprio S, Daniels SR, Drewnowski A, Kaufman FR, Palinkas LA, Rosenbloom AL, Schwimmer JB Influence of race, ethinicity, and culture on childhood obesity: implications for prevention and treatment: a consensus statement of Shaping America’s Health and the Obesity Society. Diabetes Care 2008 Nov;31(11):2211-21. Influence of race, ethnicity, and culture on child…[Obesity (Silver Spring). 2008] – PubMed Result)

It is useful to consider that weight management is not the only thing people have to do. Time taken for physical activity and nutritional improvement is going to be time taken away from other activities, such as care for self and others, self-improvement, community activities and volunteering, time with children and family members, and recreation (including television viewing and using a computer/Internet)

Intrusive wellness programs have the potential to interfere with the employees’ right to privacy and complicate the doctor-patient relationship. Under the Safeway plan, for example, an employee can request an exception on recommendation of a physician. To whom the employee can request this is not clear. Nor is it clear under what circumstances the exception would be granted. Look at two common scenarios:

1. The employee has a disease like HIV/AIDs or cancer in which weigh loss is common and his or her physician does not want the employee to lose any weight if they can help it. Would the employee have to reveal this condition?

2. The employee has common diseases like type 2 diabetes or depression. The physician has recommended drugs which actually cause weight gain. Does the employee have to disclose this? What if the employer decides that another medication could be used? Does now the doctor, patient and often managed care plan have to discuss medical alternatives with Human Resources? In other words, will the employees health be endangered by the effort to live a healthy lifestyle?

Who is disadvantaged by employer wellness program? Programs such as Safeway’s may have unintended discriminatory effects. The biometrics used in such programs, to the extent they include obesity, elevated triglycerides and blood pressure, are part of what is known as the metabolic syndrome. Approximately 34% of adults meet the National Cholesterol Education Program’s criteria. Older males and females from 40-59 years of age are about 3 times as likely as those 20-39 to meet the criteria for the metabolic syndrome. Males and females over 60 were more than 4 and 6 times respectively to meet the criteria. Overweight and obese males were 6 and 32 times as likely as normal weight males to the meet the criteria and overweight and obese females were 5 and 17 times as likely to meet the criteria. (See, Ervin RB, Prevalence of metabolic syndrome among adults 20 years of age and over, by sex, age, race and ethnicity, and body mass index: United States, 2003-2006. National Health Statistics Reports; No. 13.National Health Statistics metabolic syndrome – PubMed Results )

Therefore, we can expect that such programs deliver little in the way of improvements in individual’s body weight, while having a disproportionate impact on minorities, the elderly and those with serious health conditions. To the extent that these employees see a reduction in their health insurance (possibly to the point of zero if the 20% limitation is totally removed), they will only increase the ranks of the uninsured, thereby frustrating the whole purpose of health care reform.

For further information, see;

Insurance coverage and incentives for weight loss …[Obesity (Silver Spring). 2008] – PubMed Result

Effects of a reimbursement incentive on enrollment…[Obesity (Silver Spring). 2007] – PubMed Result

Worksite Opportunities for Wellness (WOW): Effects…[Prev Med. 2009] – PubMed Result

The Working Healthy Project: a worksite health-pro…[J Occup Environ Med. 1999] – PubMed Result

LEAN Works: About CDC’s LEAN Works | DNPAO | CDC

Public Health Strategies for Preventing and Controlling Overweight and Obesity in School and Worksite Settings </P><P>A Report on Recommendations of the Task Force on Community Preventive Services

Financial incentive-based approaches for weight lo…[JAMA. 2008] – PubMed Result

Schools and Children

September 27th, 2009

As concern about childhood obesity has increased, the school environment has received increased attention.

Retooling school food offerings can help. The Somerville MA experiment Retooling food service for early elementary school…[Prev Chronic Dis. 2009] – PubMed Result

A very positive study on the value of nutrition education in the schools Effectiveness of school programs in preventing chi…[Am J Public Health. 2005] – PubMed Result

Effect of the school food environment Association between school food environment and pr…[J Am Diet Assoc. 2009] – PubMed Result

School food environments and practices affect diet…[J Am Diet Assoc. 2009] – PubMed Result

Schools are making progress in addressing obesity. Schools and obesity prevention: creating school en…[Milbank Q. 2009] – PubMed Result

International Journal of Obesity – Abstract of article: Childhood overweight and elementary school outcomes

Overweight affect school performance in girls but not boys. See: http://www.rand.org/pubs/reprints/2008/RAND_RP1315.pdf

Impact of removing low nutrition foods in schools. The Impact of Removing Snacks of Low Nutritional V…[Health Educ Behav. 2009] – PubMed Result

Food use in middle and high school fundraising: do…[J Am Diet Assoc. 2009] – PubMed Result

School Environment gets worse with higher grades. School food environments and policies in US public…[Pediatrics. 2008] – PubMed Result

BMI measurement in schools Body mass index measurement in schools. [J Sch Health. 2007] – PubMed Result

Journal of Public Health Policy – Disparities in Physical Activity and Sedentary Behaviors Among US Children and Adolescents: Prevalence, Correlates, and Intervention Implications

Journal of Public Health Policy – Arkansas Act 1220 of 2003 to Reduce Childhood Obesity: Its Implementation and Impact on Child and Adolescent Body Mass Index

Journal of Public Health Policy – Early Impact of the Federally Mandated Local Wellness Policy on Physical Activity in Rural, Low-Income Elementary Schools in Colorado

Journal of Public Health Policy – Preventing Childhood Obesity through State Policy: Qualitative Assessment of Enablers and Barriers

Journal of Public Health Policy – Correlates of Walking to School and Implications for Public Policies: Survey Results from Parents of Elementary School Children in Austin, Texas

Journal of Public Health Policy – Sociodemographic, Family, and Environmental Factors Associated with Active Commuting to School among US Adolescents

Journal of Public Health Policy – Implementation of Texas Senate Bill 19 to Increase Physical Activity in Elementary Schools

Genetic Basis of Obesity

September 26th, 2009

Often one hears it stated that obesity is not a genetic disease. If by that the speaker is saying that obesity is probably not due to a single genetic change they are not quite right. There are some rare forms of obesity which are due to a single gene change. Genetic obesity syndromes. [Front Horm Res. 2008] – PubMed Result; Genetic and hereditary aspects of childhood obesit…[Best Pract Res Clin Endocrinol Metab. 2005] – PubMed Result But if they mean a single genetic change cannot account for a worldwide epidemic of obesity occurring over the last 30 years they are probably right. If the speaker means it is unlikely that there will be a treatment for obesity based on gene therapy, they are probably correct. (Although who can predict the future?) However, they miss the point if they do not understand that for millions of years of evolution, the species we call humans have favored genes which maximize its chances for survival and reproduction. So our taste preferences, our physical activity preferences and the like are passed on in the genome and our part of our inheritance. The problem is that for centuries we humans lived in an environment which was totally different than the one we live in now. The disconnect is that our bodies have not yet adapted to this new world where tasty, nutritious food is readily available and where most of us do not have to expend anything other than a minimal effort to obtain it, survive and flourish. Anything policy-makers or parents want to do about obesity must be understood in the context of the powerful force evolution has been in designing how humans acquire, store and use energy from food.

According the CDC:

  1. Biological relatives tend to resemble each other in many ways, including body weight. Individuals with a family history of obesity may be predisposed to gain weight.
  2. Different responses to the food environment are largely due to genetic variation between individuals.
  3. Fat stores are regulated over long periods of time by complex systems that involve input and feedback from fat tissue, the brain and endocrine glands like the pancreas and the thyroid. http://www.cdc.gov/genomics/training/perspectives/files/obesknow.htm,
  4. The tendencies to overeat and be sedentary, the diminished ability to use dietary fat as fuel and enlarged, easily stimulated capacity to store body fat are all genetically influenced. The variation in how individuals respond to the food rich environment and the differences in acquiring obesity related comorbid conditions are also genetically determined. http://www.cdc.gov/Features/Obesity/

Since 1997, published studies have found that variation in BMI is largely due to heritable genetic differences, with estimates ranging from 55% to 85%. A 2008 study found that 77% of the adiposity in preadolescent children born since the start of the obesity epidemic was due to genetic inheritance compared to 10% for the environment. Evidence for a strong genetic influence on childho…[Am J Clin Nutr. 2008] – PubMed Result

A fast rate of eating appears to be heritable. Eating rate is a heritable phenotype related to we…[Am J Clin Nutr. 2008] – PubMed Result Differences in responding to the obesogenic environment may also be heritable Genetic influence on appetite in children. [Int J Obes (Lond). 2008] – PubMed Result and Appetite is a Heritable Phenotype Associated with …[Ann Behav Med. 2009] – PubMed Result. The FTO gene may be involved. The FTO gene and measured food intake in children. [Int J Obes (Lond). 2009] – PubMed Result and Increasing heritability of BMI and stronger associ…[Obesity (Silver Spring). 2008] – PubMed Result Parental leanness appears to provide strong protection against the development of obesity in children. Development of overweight in children in relation …[Obesity (Silver Spring). 2009] – PubMed Result

There is an interesting scientific debate about what is called the “thrifty gene” hypothesis about how a genetic preference for storing extra energy on our bodies might have developed. Thrifty genes for obesity, an attractive but flawe…[Int J Obes (Lond). 2008] – PubMed Result and The clinical biochemistry of obesity. [Clin Biochem Rev. 2004] – PubMed Result. Some think that childhood obesity is increasing due to ‘associative mating’ by overweight parents who pass on their genetic disposition to obesity to their children. Childhood obesity: are genetic differences involve…[Am J Clin Nutr. 2009] – PubMed Result

The evidence for the genetic basis of obesity, in addition to environmental changes is quite strong. See Implications of gene-behavior interactions: preven…[Obesity (Silver Spring). 2008] – PubMed Result; Genome-wide association scan shows genetic variant…[PLoS Genet. 2007] – PubMed Result and The genetics of obesity. [Metabolism. 1995] – PubMed Result

The environment is thought to be responsible for variations between populations but genetics is responsible for the variations within a given population. Obesity – Missing Heritability and GWAS Utility and Genetic and environmental factors in relative body…[Behav Genet. 1997] – PubMed Result. Genetics may account for many cases of morbid obesityFamilial aggregation of morbid obesity. [Obes Res. 1993] – PubMed Result.

Genetics may play an important role in determining who can benefit from different types of intervention. Implications of gene-behavior interactions: preven…[Obesity (Silver Spring). 2008] – PubMed Result or who is more likely to be affected by obesity Ethnic variability in adiposity and cardiovascular…[Int J Epidemiol. 2009] – PubMed Result. Or experience a comorbid condition like Type 2 diabetes Mechanisms of disease: genetic insights into the e…[Nat Clin Pract Endocrinol Metab. 2008] – PubMed Result

The FTO gene is currently under active research interest for providing a link to how obesity related conditions might arise and how patients can benefit from this knowledge. FTO: the first gene contributing to common forms o…[Obes Rev. 2008] – PubMed Result Genome-wide association scan shows genetic variant…[PLoS Genet. 2007] – PubMed Result

The FTO gene may explain different responses to exercise. FTO Genotype Is Associated With Exercise Training-…[Obesity (Silver Spring). 2009] – PubMed Result .Physical activity and the association of common FT…[Arch Intern Med. 2008] – PubMed Result

A factor in the resistance to describe obesity as a genetic disease may be in the assumption that the human genome does not change rapidly whereas the increase globally in the rates of obesity have occurred in the last 40-50 years. However, evolutionary biologists are debating the speed of genetic change. In “Catching Fire, How Cooking Made us Human” (Basic Books, New York, 2009) Richard Wrangham, the Ruth Moore Professor of Biological Anthropology at Harvard University writes,

A long delay between the adoption of a major new diet and resulting changes in anatomy is also unlikely. Studies of Galapagos finches by Peter and Rosemary Grant showed that during a year when finches experiences an intense food shortage caused by an extended drought, the birds that were best able to eat large and hard seeds – those birds with the largest beaks- survived best. The selection pressure against small-beaked birds was so intense that only 15 percent of birds survived and the species as a whole developed measurably larger beaks within a year. Correlations in beak size between parents and offspring showed that the changes were inherited. Beak size fell again after the food supply returned to normal, but it took about fifteen years for the genetic changes the drought had imposed to reverse. The Grants’ finches show that anatomy can evolve very quickly in response to dietary changes…Other data show that if an ecological change is permanent, the species also changes permanently, and again the transition is fast…The adaptive changes brought on by the adoption of cooking would surely have been rapid. (p. 93-94, emphasis added.) (See Book Reviews)