Family Practice © Oxford University Press 2000 Vol. 17, No. 4 Printed in Great Britain Selections from Current Literature What is the ideal body weight? Samuel A Sandowski Sandowski SA. What is the ideal body weight? Family Practice 2000; 17: 348–351. The question of ideal body weight historically is a subject of study that raises more questions than answers, i.e. is obesity linked with morbidity and/or mortality and, thus, important in medical management? What, if any, is the lower healthy limit for body mass index? In 1869, Quetelet described a formula for body mass index (weight in kg/ height m2) which assumes a certain amount of body fat, based on weight, and corrected for height. In a 1959 study, the Metropolitan Life Insurance Company suggested ‘ideal’ body weights for men and women based on weight, height and body frame.1 However, co-morbid factors such as smoking and family history for diseases are not considered as variables in this survey. Today, ideal body weight remains controversial. Body mass index (BMI) is categorized by the International Obesity Task Force as: • • • • • hydrodensitometry, underwater weighing via a submersion tank, is being replaced by dual-energy X-ray absorptiometry (DEXA) scans because of its simplicity and high precision. These, however, currently are used more for research, while anthropomorphic methods, such as waist circumference, waist-to-hip ratios and skin fold thickness are utilized clinically due to availability. Bioimpedance, a painless measure of resistance to an electrical current, is also readily accessible. It is based on the premise that muscle conducts better than fat. Thus, electrical current through fat is slower, permitting quantification of the percentage of body fat. Bioimpedance, though more objective than anthropomorphic measures, is not better at measuring fat nor predicting biological outcomes. The authors note that clinical measurement of ideal body weight is filled with methodological problems. The ideal body weight is described typically as the weight associated with the lowest mortality, and its U-shaped graph suggests that ideal body weight has a lower as well as an upper limit. Conditions causing weight loss, however, may not be detected for months to years, creating an apparent higher mortality at lower weights, which may be confounding. Secondly, most large studies analysing weight loss do not account for smoking, alcohol use, physical activity nor genetic susceptibility to disease. The authors address several studies, including the Nurses’ Health Study,2 which show a U-shaped graph implying increased mortality for lower as well as higher body weights. However, when adjusted for cigarette smoking, age and reverse causation (morbid conditions causing the low weight), the relationship between BMI and mortality becomes a positive linear one. This suggests that a low BMI, if not associated with cigarette smoking or a co-morbid condition causing the weight loss, may not necessarily be associated with increased mortality. In fact, a BMI as low as 17 in women from the Nurses’ Health Study2 is not associated with excess mortality. Notably, the US Dietary Guidelines Advisory Committee does not include a lower limit for the BMI as ‘healthy’ or ‘unhealthy’. Concomitantly, another issue raised in the manuscript is whether mortality, as a single parameter, is sufficient 18.5–24.9 = Healthy weight, 25.0–29.9 = Overweight, 30.0–34.9 = Class I obesity, 35.0–39.9 = Class II obesity, .40.0 = Class III obesity. It is generally acknowledged that obesity increases the risk of many diseases, including diabetes mellitus, hypertension, coronary heart disease, cholelithiasis, cancer of the endometrium, colon and kidney, stroke, osteoarthritis and infertility. These risks become more evident as the BMI increases. Yet the definition of obesity has varied by age and sex and is generally unclear. Additionally, the risk of obesity has increased significantly in western countries over the years. The purpose of this article is to review current literature pertaining to ideal body weight and its association with morbidity and mortality. Willet WE, Dietz W, Colditz GA. Guidelines for healthy weight. N Engl J Med 1999; 341: 427–434. In this review article, the authors concisely describe methods of body fat assessment. The gold standard of Department of Family Practice, South Nassau Communities Hospital, 2445 Oceanside Road, Oceanside, NY 11572, USA. 348 What is the ideal body weight? to determine an ‘ideal’ weight, as morbidity correlates positively with increased BMI as well. The risk of hypertension, cholelithiasis and coronary heart disease increased significantly with a BMI .30, but the risk of diabetes increased significantly with a BMI .25. Of additional importance, the risk of most of these conditions begins to increase at BMIs .22–23, a value often considered ‘normal’ or ‘ideal’. Comments This well written review identifies the difficulties in determining ideal body weight. Though studies demonstrate that a BMI .30 is associated with increased morbidity and mortality, there exists a ‘grey zone’ between 25 and 30. This ‘grey zone’ is influenced by co-morbid conditions, such as coronary artery disease and diabetes. Furthermore, there is no consistent BMI at which the relative risk for disease, in general, increases, i.e. relative risk increases at a BMI of 25 for some diseases, and at a BMI of 30 for others. While most studies cite BMI to determine association between weight and morbidity/mortality, it is generally accepted that it is the increase in percentage of body fat, and not the absolute weight and height, that correlates positively with morbidity and mortality. Additionally, current studies do not address athletes, who may have an elevated BMI, but a higher percentage of lean muscle mass and a lower percentage of body fat. Future studies using DEXA scans and body fat analysis may be able to produce more definitive results between body fat (not body weight) and increased morbidity and mortality. Stevens J, Cai J, Pamuk ER et al. The effect of age on the association between body-mass index and mortality. N Engl J Med 1998; 338: 1–7. This survey investigates ideal body weight as a function of age through information gathered from October 1959 to March 1960,3 in a cohort of over 1 million men and women. Included in this study are Caucasians who had never smoked. Excluded are people with involuntary weight loss of .10 lb in the past 2 years, a history of cancer (other than skin cancer), death in the first year of the study, a history of heart disease, stroke or selfcategorization as sick or in poor health. A total of 262 019 women and 62 116 men completed a four-page questionnaire including height, weight, the exclusion criteria, queries on alcohol use, educational levels and physical activity. Vital status for 93% of the cohort was followed for 12 years. Death from all causes and deaths from cardiovascular disease were assessed and compared with BMI. These data indicate that men and women between 30 and 74 years old with BMIs .25 have an increased relative risk of death from any cause, as well as from cardiovascular disease specifically. Risk is more evident with BMI .32. However, the relative risk of death related to increased BMI (in both categories) decreases 349 as age increases. An increased risk of death does not correlate for those over 74 years of age. Comments The 1995 Dietary Guidelines for Americans4 states that a BMI of ,25 is ‘healthy’. This study is confirmatory, but only for those below age 74. In older subjects, an elevated BMI is not associated with increased mortality. The 1990 Dietary Guidelines for Americans do imply that as one ages, increased weight may be beneficial, suggesting an ideal BMI of 19–25 for those below age 35 years. Over age 35, the ideal BMI increases to 21–27.5 However, this age-specific recommendation is controversial, and in the 1995 Dietary Guidelines for Americans the age-specific recommendations are omitted.4 This current study quotes others supporting the hypothesis that the relative risk of death associated with an elevated BMI decreases with age. These quotes include two studies. The first is of 17 159 Finnish women in whom mortality varies little with respect to BMI.6 The second is of 12 576 Seventh-Day Adventist women in whom the relative risk of death associated with elevated BMI is lower for women aged 55–74 than for those 30–54 years old.7 The current study is limited by focusing on mortality only. The association between morbidity and BMI is not investigated. Additionally, information, except for data regarding death, is self-reported. This raises concern regarding under-reporting of body weight. Another limitation in the methodology is that weight parameters provided are only collected at the beginning of the study. Weight changes over the 12 years are not noted. Moreover, information from data collected 30–40 years ago may “limit the generalizability of the results”. However, the number of study participants yields significant power, and should not be ignored. Finally, there is no discussion of those patients with a BMI of ,19. The results and the graphs, however, imply that a low BMI is not associated with increased mortality. Moreover, these subjects are non-smokers, and exclusion criteria such as cancer, self-reported sickness or poor health, or death in the first year of the study help to reduce reverse causation, a common confounding variable, as a possible cause of association between low BMI and mortality. Heini AF and Weinsier RL. Divergent trends in obesity and fat intake patterns: the American paradox. Am J Med 1997; 102: 259–264. While quantification of the term ‘obesity’ is controversial, there is little debate that obesity increases morbidity and mortality. Obesity in the US population, however, is increasing despite this knowledge. In the article cited above, the authors review the databases of NHANES II and III, USDA Nationwide Food Consumption Survey, the Behavioral Risk Factor Survey System and the Calorie Control Council Report, in total analysing 150 000 patients. 350 Family Practice—an international journal The data imply that the prevalence of ‘overweight’ rises from 25.4% (1976–1980) to 33.3% (1988–1991), a rise of 31–32%. Paradoxically, the total calorie intake decreases by 3% in men and 6% in women during these time periods. This is accompanied by a decrease in fat intake and becomes most obvious in women aged 50–59 years, who show a 43% increase in the prevalence of ‘overweight’, but the largest reduction in fat intake (a decrease of 13%). Black men demonstrate less of a decrease in total fat calorie intake (9%) than white men (11%), but without concomitant weight gain. In fact, they demonstrate less of an increase in the prevalence of obesity than white men (21% versus 32%). Comment If fat intake is decreasing and the amount of calories consumed is decreasing, why is the prevalence of ‘overweight’ and obesity in the USA increasing? The authors postulate two hypotheses. The first suggests that there is an increase in efficiency of energy expenditure. The body now requires fewer calories to perform the same amount of work as before. This is unlikely. The second hypothesis holds that the total daily energy expenditure has decreased. The authors suggest that the decrease in energy expenditure is secondary to ‘non-exercise-related’ activities, such as housework, occupational activities and routine daily activities. Goran and Poehlan8 demonstrate that energy expenditure does not increase with regimented exercise training in the USA, because of nonexercise-related activities. By way of an example, Gortmaker et al.9 demonstrate that increased television viewing affects ‘overweight’ among youth, supporting the concept that Americans, as a society, are less active. The paradox is evident. In spite of decreasing fat and calorie intake in American diets, there is an increased prevalence of ‘overweight’. In spite of an increasing number of ‘fitness centres’ in the USA, and an increasing awareness of the importance of activity, total activity is declining. Healthy People 200010 sets goals to lower fat intake and increase exercise to “moderate activity for at least 30 min, at least 3 times per week”. However, will these goals, even if reached, be enough for Americans to achieve ideal body weight in the face of a decrease in general activity levels secondary to passive entertainment and introduction of modern conveniences? Lusky A, Barell V, Lubin F et al. Relationship between morbidity and extreme values of body mass index in adolescents. Int J Epidemiol 1996; 25: 829–834. We have commented previously on the significance of undetected co-morbid conditions as confounding variables that may falsely increase the apparent risk of low BMI on mortality. Lusky et al. examine morbidity and its association with BMI in this article, finding morbidity to be increased in adolescents that were either underweight or overweight. In Israel, at age 17 years, almost all males are assessed for mandatory army service. Lusky reviews the files of ~110 000 17-year-old Jewish, Israeli males for height and weight as well as any medical condition that lowers their health profile. A condition that precludes a recruit from serving in the combat unit of the army is considered significant morbidity. These data indicate that overweight adolescents are found to have a higher risk of hypertension and pathological joint conditions. The risk for each of these increases as weight increases, and is higher for ‘severe’ overweight persons than ‘mild’ overweight persons. (‘severe’ overweight is defined as a BMI .95th percentile). The odds ratio (OR) is 13.1 (prevalence of 14.9 per 1000) to develop hypertension in the severely overweight adolescent. Joint conditions that are serious enough to cause army exemption (significant morbidities) include: • hip joint limitations (OR = 3.4 with severe overweight), • meniscus tear (OR = 2.4 with severe obesity), • ankle trauma, recurrent sprain or arthrodesis of the ankle (OR = 2.3 with severe obesity), • knee limitations with radiological changes and objective physical findings following trauma or surgery (OR = 2.6). ‘Severe’ underweight is defined as a BMI of ,5th percentile. Morbidity associated with severe underweight included: • bronchial lung conditions, including asthma (OR 1.8), • intestinal disease (OR = 5.0) and neurosis (OR = 1.3). Intestinal diseases are predominately coeliac and Crohn’s disease. Comments The authors conclude that both overweight and underweight classifications, especially when severe, increase morbidity significantly. Each classification is associated with different pathologies. The morbidity is severe enough to exclude a recruit from the military’s combat units. However, the question remains whether the morbidity is a reason for the deviation of weight from the norm, or is the fact that the recruit is underweight or overweight the cause (at least in part) of the morbidity. In other words, does the neurosis and the malabsorption associated with the ‘underweight’ cause the underweight, or does the fact that the recruits are underweight put them at risk for neurosis and intestinal disease? Conversely, does an extremity injury of the hip, knee or ankle significantly impede activity, resulting in increased weight, or does the increased weight predispose to joint injuries? Summary An ideal body weight is as difficult to define as it is elusive to achieve. Should it be based on mortality alone What is the ideal body weight? (as in some studies) or should morbidity be included as an end point? If morbidity is included, how do we define the degree of severity and what degree is considered significant? Furthermore, studies tend to agree that there is an ideal upper limit for BMI, but this limit is debated. Is it a BMI of 22, when there is a trend toward obesityrelated morbidity, or a BMI of 25? The literature is also unclear about ageing. Should we encourage patients to gain weight as they age, or should we just not discourage it if it occurs? Does the ideal BMI have a lower limit? The debate for this continues. Some studies using mortality end points say yes, while others say no. To date, studies using morbidity as an end point remain flawed through neglect of reverse causation. While there are no definitive answers and multiple unanswered questions, many authorities generalize the ideal body weight as a BMI of 19–25. This seems practical in that it takes into account morbidity and not mortality alone. Achieving this goal via recommendations regarding diet and exercise has yet to prove fruitful. Abnormal BMI, either too high or too low, remains a ‘disease of civilization’, and, as such, is multifaceted in formulation and elusive to resolve. 351 References 1 2 3 4 5 6 7 8 9 10 New weight standards for men and women. Statistical Bulletin of the Metropolitan Insurance Company 1959; 40 (Nov–Dec): 1–11. Colditz GA. The Nurses’ Health Study: a cohort of U.S. women followed since 1976. J Am Med Assoc 1995; 50: 40–45. Lew EA, Garfinkel L. Variations in mortality by weight among 750,000 men and women. J Chronic Dis 1979; 32: 563–576. Department of Agriculture, Department of Health and Human Services. Nutrition and Your Health: Dietary Guidelines for Americans, 4th edn. Home and Garden Bulletin No. 232. Washington, DC: USDA, USHHS, 1995: 17–21. Department of Agriculture, Department of Health and Human Services. Nutrition and Your Health: Dietary Guidelines for Americans, 3rd edn. Home and Garden Bulletin No. 232. Washinton, DC: Government Printing Office, 1990. Rissanen A, Knekt P, Heliovarra M et al. Weight and mortality in Finnish women. J Clin Epidemiol 1991; 44: 787–795. Lindsted KD, Singh PN. Body mass and 26-year risk of mortality among women who never smoked: findings from the Adventist Mortality study. Am J Epidemiol 1997; 146: 1–11. Goran MI, Poehlan ET. Endurance training does not enhance total energy expenditure in healthy older persons. Am J Physiol 1992; 263: E950–E957. Gortmaker SL, Must A et al. Television viewing as a cause of increasing obesity among children in the United States, 1986– 1990. Arch Pediatr Adolesc Med 1996; 150: 356–362. US Public Health Service. Healthy People 2000: National Health Promotion and Disease Prevention Objectives. Washington, DC: US Department of Health and Human Services; Publication PHS 91-50212; 1991.
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