Becoming overweight: is there a health risk?

Similar documents
Body Mass Index and Waist Hip Ratio among Youth of India

Why Do We Treat Obesity? Epidemiology

Prof. Samir Morcos Rafla Alexandria Univ. Cardiology Dept.

General and Abdominal Obesity and Risk of Death among Black Women

Overweight and Obesity in Older Persons: Impact Upon Health and Mortality Outcomes

Adult BMI Calculator

OBESITY IN PRIMARY CARE

Does Being Overweight Really Reduce Mortality?

An evaluation of body mass index, waist-hip ratio and waist circumference as a predictor of hypertension across urban population of Bangladesh.

Smoking cessation and weight gain

An important obstacle to the assessment of the prevalence of overweight and obesity in

Body mass index, waist circumference and waist:hip ratio as predictors of cardiovascular risk a review of the literature

Diagnostic Test of Fat Location Indices and BMI for Detecting Markers of Metabolic Syndrome in Children

Obesity and mortality

Karri Silventoinen University of Helsinki and Osaka University

Prevalence of overweight among urban and rural areas of Punjab

2/11/2017. Weighing the Heavy Cardiovascular Burden of Obesity and the Obesity Paradox. Disclosures. Carl J. Lavie, MD, FACC, FACP, FCCP

Low-Carbohydrate Diets and All-Cause and Cause-Specific Mortality: A Population-based Cohort Study and Pooling Prospective Studies

MILK. Nutritious by nature. The science behind the health and nutritional impact of milk and dairy foods

Energy balance. Factors affecting energy input. Energy input vs. Energy output Balance Negative: weight loss Positive: weight gain

Public Health and Nutrition in Older Adults. Patricia P. Barry, MD, MPH Merck Institute of Aging & Health and George Washington University

Situation of Obesity in Different Ages in Albania

Prevalence, awareness, treatment and control of hypertension in North America, North Africa and Asia

Obesity and the Metabolic Syndrome in Developing Countries: Focus on South Asians

NJPPP RESEARCH ARTICLE WAIST-RELATED ANTHROPOMETRIC MEASURES: SIMPLE AND USEFUL PREDICTORS OF CORONARY HEART DISEASE IN WOMEN

290 Biomed Environ Sci, 2016; 29(4):

DIABETES. A growing problem

Salt, soft drinks & obesity Dr. Feng He

Lack of documentation on overweight & obese status in patients admitted to the coronary care unit: Results from the CCU study

Page down (pdf converstion error)

The study of correlation between BMI and infertility. Dr. seyed mohammadreza fouladi

La obesidad puede matar: el papel de primaria de la salud y la prevención del cáncer.

Relationship between physical activity, BMI and waist hip ratio among middle aged women in a multiethnic population: A descriptive study

Carl J. Lavie, MD, FACC, FACP, FCCP

Risk Stratification of Surgical Intensive Care Unit Patients based upon obesity: A Prospective Cohort Study

FAT. It s Not All That! A Closer Look at the Two Main Types of Fat in Our Bodies: Visceral and Subcutaneous Fat

Downloaded from ijem.sbmu.ac.ir at 20: on Sunday February 24th 2019

Age 18 years and older BMI 18.5 and < 25 kg/m 2

RESEARCH. Dagfinn Aune, 1,2 Abhijit Sen, 1 Manya Prasad, 3 Teresa Norat, 2 Imre Janszky, 1 Serena Tonstad, 3 Pål Romundstad, 1 Lars J Vatten 1

Prevalence and trends of obesity and overweight in Palestine: a protocol for a systematic review

In Europe, overweight and obesity are increasing rapidly in most. countries, and health economic consequences are now appearing.

Energy balance. Factors affecting energy input. Energy input vs. Energy output Balance Negative: weight loss Positive: weight gain

Age 18 years and older BMI 18.5 and < 25 kg/m 2

PROJECT Ntshembo: Improving adolescent health and interrupting mother-infant transfer of health risk in Africa. INDEPTH Network

WAIST-HEIGHT RATIO : A NEW OBESITY INDEX FOR FILIPINOS?

At the change of government, South Africa faced important health challenges. The country was bearing

Risks and benefits of weight loss: challenges to obesity research

Professional Diploma. in Nutrition. Module 1. Lesson 1: Health is Your Wealth EQF Level 5. Professional Diploma

Study of Serum Hepcidin as a Potential Mediator of the Disrupted Iron Metabolism in Obese Adolescents

Clinical Practice Guidelines for the Metabolic and Nonsurgical Support of the Bariatric Surgery Patient-2014 Update

CHAPTER 9. Anthropometry and Body Composition

The annual State of the Region s Health reports highlight important

DOI: /HAS/AJHS/11.1/

Obesity Causes Complications and Dietary Weight Loss Strategy

Physical Activity: Impact on Morbidity and Mortality

BACKGROUND AND RATIONALE

Secondary analyses of HSE data and linked health outcomes - an overview of work in progress. UCL (University College London)

Prevalence And Trends In Obesity Among Aged And Disabled U.S. Medicare Beneficiaries,

ANTHROPOMETRIC CHARACTERISTICS OF SOME LIMB AND BODY CIRCUMFERENCES IN MALES AND FEMALES WITH TYPE 2 DIABETES MELLITUS

Hypertension with Comorbidities Treatment of Metabolic Risk Factors in Children and Adolescents

Trends In CVD, Related Risk Factors, Prevention and Control In China

Jackson Heart Study Manuscript Proposal Form

NATIONAL COST OF OBESITY SEMINAR. Dr. Bill Releford, D.P.M. Founder, Black Barbershop Health Outreach Program

Evaluation of Anthropometric Indices of Patients with Left Ventricle Dysfunction Fallowing First Acute Anterior Myocardial Infarction

Established Risk Factors for Coronary Heart Disease (CHD)

Prospective study on nutrition transition in China

ISSN X (Print) Research Article. *Corresponding author P. Raghu Ramulu

Diabetes is a condition with a huge health impact in Asia. More than half of all

4/16/2014. w w w. I C A o r g

Table S1. Characteristics associated with frequency of nut consumption (full entire sample; Nn=4,416).

Population: All participants Number of Obs: Variable # Sas Name: Sas Label: Categories: Variable # Sas Name: F80VNUM. Sas Label: Categories:

BMI. Summary: Chapter 7: Body Weight and Body Composition. Obesity Trends

# % & (!) +,. / !( : 0 ( (;9 +/ ((8

Continuum of a Declining Trend in Correct Self- Perception of Body Weight among American Adults

Body Weight and Body Composition

Obesity: from epidemiology to treatment Entwicklung der Adipositas und Epidemiology, definition and des Diabetes in Europa diagnosis of obesities

Normal Parameters: Age 65 years and older BMI 23 and < 30 kg/m 2 Age years BMI 18.5 and < 25 kg/m 2

Implementing Type 2 Diabetes Prevention Programmes

From the Center for Human Nutrition, Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.

Body mass index and mortality in elderly men and women: the Tromsø and HUNT studies

Optimal Child Growth and critical periods for the prevention of childhood obesity

Obesity and Control. Body Mass Index (BMI) and Sedentary Time in Adults

EFFECT OF SMOKING ON BODY MASS INDEX: A COMMUNITY-BASED STUDY

Prevalence of Obesity in Adult Population of Former College Rowers

Cardiorespiratory Fitness is Strongly Related to the Metabolic Syndrome in Adolescents. Queen s University Kingston, Ontario, Canada

REFERENCE CODE GDHCER022 PUBLICAT ION DATE AUGUST 2013 OVERWEIGHT AND OBESITY - EPIDEMIOLOGY FORECAST TO 2022

Prevalence of Overweight Among Anchorage Children: A Study of Anchorage School District Data:

Objectives. Objectives. Alejandro J. de la Torre, MD Cook Children s Hospital May 30, 2015

Understanding Body Composition

The effects of Aerobic Exercise vs. Progressive Resisted Exercise on body composition in obese children Dr.U.Ganapathy Sankar, Ph.

OVERVIEW OF NUTRITION & HEALTH

Obesity. Picture on. This is the era of the expanding waistline.

ASSOCIATION BETWEEN DIETARY CALCIUM INTAKES AND WEIGHT LOSS

ATTENTION-DEFICIT/HYPERACTIVITY DISORDER, PHYSICAL HEALTH, AND LIFESTYLE IN OLDER ADULTS

Obesity: Trends, Impact, Complexity

Body Mass Insanity. sources, obesity has been categorized as the epidemic Americans are facing at an accelerated

Assessing Overweight in School Going Children: A Simplified Formula

Comparison of Abnormal Cholesterol in Children, Adolescent & Adults in the United States, : Review

Transcription:

DOI: 10.4149/BLL_2014_102 Bratisl Lek Listy 2014; 115 (9) PERSPECTIVES Becoming overweight: is there a health risk? Ginter E 1, Simko V 2 Slovak Medical University, Bratislava, Slovakia. ginter.emil@mail.t-com.sk Abstract: Overweight and obesity is becoming widespread enough to generate an acceptable and misleading social status. By 2030, in the USA up to 86 % of adults will be overweight or obese. Some selected statistical data based on the body mass index (BMI) indicated that overweight was not associated with increased mortality, this provoked a conceivable interest. Added to this is the observation that while the prevalence of obesity is dramatically increasing, the cardiovascular mortality and life expectancy in the European Union and USA has improved. When more sensitive indicators of body adiposity and its distribution than the BMI, like the waist-thigh ratio in both sexes and the waist-hip ratio in women are projected on mortality, it becomes obvious that even overweight is associated with an increased health risk. Gaining excessive body fat is a continuous, frequently progressive process. Present obesity epidemic in childhood will manifest with deleterious consequences only in future years when adolescents reach adulthood. Prevention is thus essential even before the overweight sets in. Improved life expectancy observed in large populations despite obesity epidemic, is a favourable medical success in the management of hypertension, of serum lipid disorders and diabetes. While encouraging, when it is observed in large population, it does not take away the potential health risk of a metabolic disorder in an individual who is overweight (Fig. 7, Ref. 25). Text in PDF www.elis.sk. Key words: overweight, obesity, body mass index, diabetes type 2, hypertension, cardiovascular disorders, life expectancy. Globalization of overweight and obesity 1 Slovak Medical University, Bratislava, Slovakia, and 2 State University New York, Downstate Medical Center at Brooklyn, USA Address for correspondence: E. Ginter, RND, DSc, Racianska 17, SK- 831 02 Bratislava, Slovakia Globalization benefits the world with more readily available food supply. At the same time, it promotes overweight and obesity by indiscriminate overuse of food energy. Pandemic of obesity and related metabolic consequences, especially diabetes type 2, is rapidly becoming a global health problem (1). Developing countries are undergoing rapid nutrition transition, along with increases in overweight, obesity and in the metabolic disorders (2). In the USA, obesity prevalence has increased at an alarming rate, from 13 % to 32 % between the 1960s and year 2004 (3). Currently, 66 % of US adults are overweight or obese, 16% of children and adolescents are overweight. Projections of future prevalence of obesity and related health care costs indicate that if present trends continue, by 2030 in the USA up to 86 % adults will be overweight or obese and 51 % will be severely obese (4). What is the health risk of being overweight or gaining body mass to be manifestly obese? There are multiple reports that unequivocally associate overweight and obesity with impaired health, related to hypertension, cardiovascular disease and diabetes type 2. A total of 33 US studies were reviewed and revealed the direct medical cost of overweight and obesity (5). In 2008, the per-person direct medical cost for overweight was $ 266 and for obesity it was $ 1723. The aggregate US national cost of overweight and obesity was $ 113.9 billion. The economic burden of morbid obesity (BMI > or = 40 kg/ square meter) is even substantially higher, due to increased morbidity and mortality. Obesity is associated with poor health-related quality of life (6). Epidemic of overweight and obesity while life expectancy is improving: paradox or reality? Closer review of trends associating overweight and obesity with mortality in the USA provides a seemingly challenging paradox: despite all predictions of negative impact of overweight and obesity on health, the life expectancy (LE) in the USA has been improving along with the increasing body weight of the population (Fig. 1). Similar increase of LE was observed in European countries with a high prevalence of overweight and obesity, e.g. in the Czech Republic, England, Germany and Austria. We took note of this discrepancy in our previous report on paradoxes in contemporary medicine (9). Mortality and LE are essential statistical indicators of population health. The markers of obesity correlated with mortality are either the body mass index (BMI, body weight in kg/body height in square meter) or direct anthropometric measures of body adiposity and fat distribution, the waist-hip ratio (WHR) in women and the waist- thigh ratio (WTR) in both sexes. Using the BMI is a generally accepted measure of categories of body mass. Another measure, WHR has also been used as an indicator or measure of the health of a person and of the risk of developing serious health conditions. Research suggested that people with apple-shaped bodies (with more weight around the waist) face more health risks Indexed and abstracted in Science Citation Index Expanded and in Journal Citation Reports/Science Edition

Bratisl Lek Listy 2014; 115 (9) Trends of overweight and obesity (males + females) in the USA Permanent increase of life expectancy in USA A B Fig. 1 A-B. PARADOX: Parallel increase of obesity prevalence and Life expectancy in USA. Trends of overweight and obesity along with progressive improvement of life expectancy in the USA. According to National Center for Health Statistics (7) and Statistical Abstract of the United States: 2012 (8). than those with pear-shaped bodies who carry more weight around the hips. The large study (10) reported a relation of BMI to relative risk of mortality in 1.46 million US whites (Fig. 2). Typical J-shaped relation reflected a higher mortality in population with abnormally low body weight, then lowest mortality at normal weight, mild increase at overweight and a rapid rise of mortality in obese. Significantly increased mortality was only associated with either extreme of BMI. Different association between BMI and relative mortality risk was found in the very large meta-analysis in 2013 (11). The researchers analyzed 97 published studies of heterogenous populations. 41 were from the United States or Canada and 37 were from Europe. Others were from Australia, China, Japan, Brazil, Israel, Fig. 3. Relative total mortality risk associated with normal weight, overweight and obesity. According to Flegal et al (11). relative risk of death BMI Fig. 2. Relative risk of mortality by BMI in white US men is J-shaped. According to Berrington de Gonzalez et al (10) Fig. 4. Paradox of different trends in all-cause and cardiovascular mortality related to increase in BMI. According to Knecht et al (20). 528

Ginter E, Simko V. Becoming overweight: is there a health risk? xx Fig. 5. Relative cardiovascular mortality risk associated with normal weight, overweight and obesity. According to Katzmarzyk et al (13). Fig. 7. Significant decrease of heart disease and cancer mortality in the whole US population. According to US National Vital Statistics System (25). Fig. 6. Trends of standardized mortality caused by cardiovascular and cancer diseases in European Union. According to WHO (24). India and Mexico. This report, based on data from 2.88 million individuals, linked to more than 270,000 deaths, detected no increase in mortality in overweight individuals (Fig. 3). An extensive dispute followed in attempts to clarify these unexpected findings. It appears that much depends on the marker that defines overweight and obesity, whether it is a BMI or anthropometric measurements of WHR and WTR. BMI may be controversial because it is deemed to be less sensitive than the WHR. WHO and National Heart Lung Blood Institute classification of normal weight as a BMI 18.5 to 25 kg/m 2 obscures the fact that people with a BMI between 18.5 and 22 kg/m 2 have been found to have higher mortality than those with a BMI of 22-25 kg/m 2. Grouping these together raises the mortality rate for the normal-weight group, which could explain why their observed mortality is similar to those with grade 1obesity. Doubt was raised (12) whether the current classification of individuals as overweight is appropriate, since there is little evidence of increased risk of mortality in this group. The Canadian report from 2012 (13) attempted to clarify controversies regarding BMI and mortality. Hazard ratios across successive BMI categories for all-cause mortality were 1.25 for low weight, 1.00 (reference-normal weight), 1.06 (overweight), 1.27 (obesity grade I) and 1.65 (obesity grade II). The difference between the normal weight and overweight was small and not significant. Uncertainty regarding the most appropriate means, by which to express body weight, remains (14). Questions on BMI as an indicator of mortality generated numerous attempts at possible explanation that would support use of BMI: mortality in the obese may reflect a bias that heavier patients may be more aware of need for medical prevention and care, with better likelihood of receiving appropriate risk-factor treatment. In patients with chronic disease, BMI representing overweight may indicate a stable disease, linked with lower mortality. Even more speculative is the suggestion that in the absence of disease, moderate excess of adipose tissue may provide energy reserve for eventual catabolic illness. While BMI has been used most widely, in recent years measures of central obesity like the waist circumference, but even more the WHR have been reported to more accurately indicate the distribution of body fat. Compared to BMI, these have been proposed to be more closely associated with morbidity and mortality (15). Selection of an appropriate indicator of adiposity makes mortality trends more realistic. A large cohort of men and women confirmed that WHR was positively associated with mortality in middle- aged adults. On the other hand, BMI and waist circumference exhibited U- or J-shaped association with mortality. These results clarify the seemingly unexplainable enigma of low mortality in overweight individuals identified on the basis of BMI (16). Another report (17) analyzed data from a longitudinal study of high-functioning men and women, ages 70 79 years at baseline. They examined 12-year, all-cause mortality risk related to BMI, waist circumference and WHR. There was no association between all-cause mortality and BMI or waist circumference. However, the all-cause mortality increased with WHR. Additional reports (18, 19) indicated that the association between all-cause mortality and WHR is typical not only in the elderly but also in the middle age 529

Bratisl Lek Listy 2014; 115 (9) where the WHR, independently of BMI, strongly and positively predicted mortality, among both white and black adults. Such prognostic information appears to be further reaching beyond that provided by BMI alone. All-cause and cardiovascular mortality in overweight and obesity Another paradox observed while using BMI in relation to mortality, is the difference between all-cause mortality and cardiovascular (CVD) mortality (Fig. 4) (20). Risk of relative allcause mortality decreases from a higher value in subjects with abnormally low BMI toward low mortality both at normal BMI and at overweight BMI, while the relative CVD risk goes up both in overweight and obesity groups (20). According to other authors (13), the risk of CVD mortality increases even at overweight BMI and then grows rapidly in obesity (Fig. 5). Overweight determined by BMI is then not without risk: CVD mortality is increased and similar findings were confirmed in a large cohort also by others. WHR was confirmed to be significantly associated with risk of incident CVD events. For the British men, indices of body adiposity involving WHR had a stronger linear association with the odds of CVD than BMI (21). A pressing dilemma persists: the epidemic of overweight and obesity appears to be disassociated with CVD mortality. CVD mortality in the USA declines while obesity continues to be on the rise. BMI is only one isolated measurement of how fit one is. Many other aspects of lifestyle such as exercise, stress relief, decrease in smoking, reduced intake of high calorie food and less exposure to toxic agents may have influenced pathogenesis of CVD more, than excess body weight of the population. In the past two decades, intensive preventive measures (control of hypertension, of blood lipid disorders) have been implemented. Obesity pandemic has engulfed not only the affluent countries but also the developing world. Overweight and obesity are now so ubiquitous that they are quickly becoming an acceptable social norm while the risk for global health is reaching enormous proportions. It is important to deal with misleadingly beneficial conclusions based on various statistical trends that indicate potential absence of health risk in individuals who are overweight but not yet obese. Full impact of obesity on population health will become obvious in the near future, when present-day obese children and adolescents attain adult age (22). Adipocytes adjust to excess influx of fat in infancy and childhood, then present difficult-to manage obesity in adulthood. Use of a more sensitive indicator than the BMI for body fat distribution indicates that even overweight preceeding obesity has to be included as a potential health hazard. Overweight frequently represents a continuum before onset of obesity. Overweight with obesity had a potential impact on fatal and non-fatal complications of CVD (23). Conclusion While the prevalence of adiposity is dramatically increasing, LE is increasing as well. A parallel increase of adiposity and LE is not a paradox. The cardiovascular mortality and LE in the European Union and USA has improved. Important factor in LE is the infant mortality, which has been prominently decreasing in most of the economically advanced countries. In the past 2 3 decades, intensive preventive measures (control of hypertension, of cholesterol and triglyceride levels, better style of life, e.g. a decrease of smoking and increase of physical activity, etc) have been implemented both in people with normal weight and especially in patients with overweight or obesity, who are more aware of the need for medical prevention and care with a higher likelihood of receiving appropriate risk-factor treatment. Heavy obesity shortens the LE. On the other side, improvement of health in individuals with normal weight, overweight and mild obesity (about 80 90 % of the population in economically developed countries) increases their LE and modifies the adverse outcome in the minority of heavily obese. It is then conceivable that the general LE of the population as a whole is still improving. In the European Union and the United States there has been a prominent decline in CVD mortality (24, 25) and also a modest decline in cancer mortality (Figs 6 and 7). These favourable developments in mortality should not evoke undue optimism. There has been a lasting trend of increase in morbid obesity (Fig. 1). If the shift to higher grades of obesity continues despite attempts at effective preventive intervention, the steady rise in LE in the modern era may soon come to the end. References 1. Ginter E, Simko V. Adult obesity at the beginning of the 21st century: epidemiology, pathophysiology and health risk. Bratisl Lek Listy 2008; 109 (5): 224 230. 2. Misra A, Singhal N, Khurana L. Obesity, the metabolic syndrome, and type 2 diabetes in developing countries: role of dietary fat and oils. J Am Coll Nutr 2010; 29 (3 Suppl: 289S 301S. 3. Wang Y, Beydoun MA. The obesity epidemic in the United States gender, age, socioeconomic, racial/ethnic, and geographic charcteristics: a systemic review and meta- regression analysis. Epidemiol Rev 2007; 29: 6 28. 4. Wang Y, Beydoun MA, Liang L et al. Will all Americans become overweight or obese? Estimating the progression and cost of the US obesity epidemic. Obesity (Silver Spring). 2008; 16: 2323 2330. 5. Tsai AG, Williamson DF, Flick HA. Direct medical cost of overweight and obesity in the USA: a quantitative systematic review. Obes Rev 2011; 12: 50 61. 6. Arterburn DE, Maciejewski ML, Tsevat J. Impact of morbid obesity on medical expenditures in adults. Int J Obes (Lond) 2005; 29: 334 339. 7. National Center for Health Statistics Health E-Stats, 2008, USA. 8. U.S. Census Bureau, Statistical Abstract of the United States: 2012 9. Ginter E, Simko V, Dolinska S. Paradoxes in medicine: an access to new knowledge? Bratisl Lek Listy 2009; 110 (2): 112 115. 10. Berrington de Gonzalez A, Hartge P, Cerhan JR et al. Body-Mass Index and Mortality among 1.46 Million White Adults. N Engl J Med 2010; 363 (23): 2211 2219. 530

Ginter E, Simko V. Becoming overweight: is there a health risk? xx 11. Flegal KM, Kit BK, Orpana H, Graubard BI. Association of allcause mortality with overweight and obesity using standard body mass index categories: a systematic review and meta-analysis. JAMA 2013; 309 (1): 71 82. 12. McGee DL. Body mass index and mortality: a meta-analysis based on person-level data from twenty-six observational studies. Ann Epidemiol 2005; 15 (2): 87 97. 13. Katzmarzyk PT, Reeder BA, Elliott S et al. Body mass index and risk of cardiovascular disease, cancer and all-cause mortality. Can J Public Health 2012; 103 (2): 147 151. 14. Huxley R, Mendis S, Zheleznyak E et al. Body mass index, waist circumference and waist: hip ratio as predictors of cardiovascular risk a review of the literature. Eur J Clin Nutr 2010; 64: 16 22. 15. Seidell JC: Waist circumference and waist/hip ratio in relation to all cause mortality, cancer and sleep apnea. Eur J Clin Nutr 2010; 64: 35 41. 16. Reis JP, Araneta MR, Wingard DL et al. Overall obesity and abdominal adiposity as predictors of mortality in U.S.. white and black adults. Ann Epidemiol 2009; 19: 134 142. 17. Srikanthan P, Seeman TE, Karlamangla AS. Waist-Hip-Ratio as a predictor of all-cause mortality in high-functioning older adults. Ann Epidemiol 2009; 19: 724 731. 18. Kahn HS,Bullard KM,Barker LE et al Differences between adiposity indicators for predicting all-cause mortality in a representative sample of United States non-elderly adults. PLoS One 2012; 11: e50428. 19. de Koning L, Merchant AT, Pogue J et al. Waist circumference and waist-to-hip ratio as predictors of cardiovascular events: meta- regression analysis of prospective studies. Eur Heart J 2007; 28: 850 856. 20. Knecht S, Eliger T, Levine JA. Obesity in neurobiology. Progress Neurobiol 2008; 84: 85 102. 21. Cox BD, Whichelow MJ, Prevost AT. The development of cardiovascular disease in relation to anthropometric indices and hypertension in British adults. Int J Obes Relat Metab Disord 1998; 22: 966 973. 22. Garnett SP, Baura LA, Srinivasem S et al. Body mass index and waist circumference in midchildhood and adverse cardiovascular disease risk clustering in adolescence. Am J Clin Nutr 2007; 86: 549 555. 23. van Dis I, Kromhout D, Geleijuse JM et al. Body mass index and waist circumference predict both 10-year nonfatal and fatal cardiovascular disease risk: study conducted in 20,000 Dutch women aged 20 65 years. Eur J Cardiovasc Prev Rehabil 2009; 16: 729 734. 24. European Health for All Database, WHO Regional Office for Europe, Copenhagen, updated January 2012. 25. National Vital Statistics System. Mortality public use data files for 1999 2007, and preliminary data for 2008 and 2009. From US Vital Statistics. Received March 1, 2013. Accepted March 29, 2014. 531