Background Body-mass index (the weight in kilograms dividedby the square of the height in meters) is known to be associatedwith overall mortality. We investigated the effects of age,race, sex, smoking status, and history of disease on the relationbetween body-mass index and mortality.
Methods In a prospective study of more than 1 million adultsin the United States (457,785 men and 588,369 women), 201,622deaths occurred during 14 years of follow-up. We examined therelation between body-mass index and the risk of death fromall causes in four subgroups categorized according to smokingstatus and history of disease. In healthy people who had neversmoked, we further examined whether the relation varied accordingto race, cause of death, or age. The relative risk was usedto assess the relation between mortality and body-mass index.
Results The association between body-mass index and the riskof death was substantially modified by smoking status and thepresence of disease. In healthy people who had never smoked,the nadir of the curve for body-mass index and mortality wasfound at a body-mass index of 23.5 to 24.9 in men and 22.0 to23.4 in women. Among subjects with the highest body-mass indexes,white men and women had a relative risk of death of 2.58 and2.00, respectively, as compared with those with a body-massindex of 23.5 to 24.9. Black men and women with the highestbody-mass indexes had much lower risks of death (1.35 and 1.21),which did not differ significantly from 1.00. A high body-massindex was most predictive of death from cardiovascular disease,especially in men (relative risk, 2.90; 95 percent confidenceinterval, 2.37 to 3.56). Heavier men and women in all age groupshad an increased risk of death.
Conclusions The risk of death from all causes, cardiovasculardisease, cancer, or other diseases increases throughout therange of moderate and severe overweight for both men and womenin all age groups. The risk associated with a high body-massindex is greater for whites than for blacks.
The relation between body weight and mortality remains controversial.Important unresolved questions concern the shape of the curverelating the two variables; the optimal weight for longevity;whether the optimal weight varies according to age, race, orsex; and whether the increased death rates often observed amongvery lean people are causal or an artifact of leanness due tosmoking or concurrent illness. Debate about the potential hazardsof excessive leanness has received disproportionate attentionin a culture in which obesity is far more prevalent.
Much of the vast literature examining the relation between bodyweight and mortality1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16 supportsthe hypothesis of a curvilinear relation, in which the riskis increased among the very heavy and the very lean. However,many of the studies that found increased risk to be associatedwith leanness have been criticized17,18 for failing to excludesmokers and people with concurrent illness. Several prospectivestudies that excluded smokers and those with existing diseasehave challenged the notion of a curvilinear relation, suggestingthat, overall, death rates increase linearly with increasingadiposity, with no excess risk among the very lean.8,10,12,15
Other areas of controversy pertain to whether the optimal weightfor longevity increases with age or varies according to race.Past weight guidelines have recommended a higher maximal weight(for height) with increasing age.19 There is disagreement, however,as to whether this practice is justified18; the Department ofAgriculture's 1995 Dietary Guidelines for Americans20 did notinclude age-specific recommendations. Contributing to the controversyare the findings that the relative risk of death associatedwith adiposity decreases with increasing age3,10,11,14,15 andthat the optimal weight for longevity may be higher in olderpopulations.1,2,13 Although relatively few cohort studies haveexamined the effects of adiposity on mortality among blacks,2,4,21,22,23,24,25,26the available literature suggests that adiposity may be a lessimportant predictor of mortality among blacks than among whites,particularly among women.
To investigate further the risk of death associated with bodyweight in men and women and to determine whether this risk variesaccording to smoking and disease status, race, cause of death,and age, we examined the association between body-mass indexand death rates in a large, prospective cohort of U.S. adults.
Methods
Study Population
The study subjects were selected from the 1,184,657 participantsin the Cancer Prevention Study II, a prospective study of mortalityamong men and women in the United States that was begun by theAmerican Cancer Society in 1982.27 Participants were identifiedand enrolled by more than 77,000 volunteers in all 50 states,the District of Columbia, and Puerto Rico. Families were enrolledif at least one household member was 45 years of age or older,and all enrolled members were at least 30 years old. The averageage of the participants at enrollment was 57 years. In 1982,the participants completed a confidential questionnaire thatwas mailed to them; they provided information on demographiccharacteristics, personal and family history of cancer and otherdiseases, various aspects of behavior, environmental and occupationalexposures, and diet.
Deaths that occurred between the month of enrollment and December31, 1996, were ascertained through personal inquiries by volunteersin September 1984, September 1986, and September 1988 and thenthrough linkage with the National Death Index.28 As of December31, 1996, a total of 20.1 percent of the participants had died,79.7 percent were still living, and 0.2 percent had had follow-uptruncated on September 1, 1988, because of insufficient datafor linkage with the National Death Index. Death certificatesor codes for cause of death were obtained for 98.6 percent ofall deaths.
In the questionnaire, participants were asked to give theircurrent weight, weight one year previously, and height (withoutshoes). We excluded from the analysis participants with extremevalues for height or weight (those at or below the 0.1 percentileand those at or above the 99.9 percentile) or for whom thesevalues were not known. In addition, we excluded participantsfor whom we did not have information on race or who were notwhite or black. We also excluded participants for whom smokingstatus and prior weight were unknown. After these exclusions,457,785 men and 588,369 women were eligible for participationin our study. A total of 113,517 men and 88,105 women in thispopulation died during the 14 years of follow-up.
Body-Mass Index
We categorized body-mass index (the weight in kilograms dividedby the square of the height in meters), which we used as ourmeasure of adiposity, as lower than 18.5, 18.5 to 20.4, 20.5to 21.9, 22.0 to 23.4, 23.5 to 24.9, 25.0 to 26.4, 26.5 to 27.9,28.0 to 29.9, 30.0 to 31.9, 32.0 to 34.9, 35.0 to 39.9, and40.0 or higher. We created these 12 categories to allow a detailedexamination of the association between body-mass index and mortalityacross a wide range of body-mass values without a priori assumptionsabout the shape of the doseresponse curve. In addition,combinations of these categories correspond to the cutoff pointsproposed by the World Health Organization for what it termsthe normal range (a body-mass index between 18.5 and 24.9),grade 1 overweight (between 25.0 and 29.9), grade 2 overweight(between 30.0 and 39.9), and grade 3 overweight (40.0 or higher).29
End Points
Death from all causes was the primary end point in these analyses.In addition, we examined the association between body-mass indexand death due to cardiovascular disease (codes 390 through 459of the International Classification of Diseases, Ninth Revision[ICD-9]), cancer (ICD-9 codes 140 through 208), and all othercauses.30
Subgroups
From the cohort of 1,046,154 men and women, we established fourmutually exclusive subgroups categorized according to smokingstatus and history of disease current or former smokerswith a history of any of the following: cancer (but not nonmelanomaskin cancer), heart disease, stroke, respiratory disease (chronicbronchitis, emphysema, or asthma), current illness (of any type),or a weight loss of at least 10 lb (4.5 kg) in the previousyear; current or former smokers with no history of disease atenrollment; those who had never smoked and who had a historyof disease at enrollment; and those who had never smoked andwho had no history of disease at enrollment (Table 1). For eachof the four subgroups, we examined the association between body-massindex and overall mortality according to sex.
Table 1. Cohorts in the Analysis of Overall Mortality and Body-Mass Index.
In the 81,468 white men, 2908 black men, 208,710 white women,and 9147 black women who had never smoked and had no disease,we further examined whether the association between body-massindex and mortality varied according to race, cause of death,or age. For these analyses, we combined categories of body-massindex, if necessary, to avoid having fewer than 15 deaths ina category.
Statistical Analysis
We calculated age-adjusted death rates for each category ofbody-mass index and standardized these rates to the age distributionof the entire male or female study population. We computed summaryrate ratios (the death rate in a category of body-mass indexdivided by the corresponding rate in the reference category[body-mass indexes between 23.5 and 24.9]) and the rate differences(the death rate in a category minus that in the reference category);we used approximate variance formulas to calculate 95 percentconfidence intervals.31
We also used a Cox proportional-hazards model32 to compute relativerisk and to adjust for other potential risk factors reportedat base line. We adjusted Cox models for exact age at enrollment,level of education and physical activity, alcohol use, maritalstatus, current use of aspirin, a crude index of fat consumption,33vegetable consumption, and (in women) use of estrogen-replacementtherapy. All relative risks are from the multivariate Cox modelsunless otherwise noted.
Results
Effect of Smoking Status and History of Disease
The relation between body-mass index and death from all causesdiffered according to smoking status and the presence or absenceof a history of disease (Figure 1). Obesity was most stronglyassociated with an increased risk of death among those who hadnever smoked and who had no history of disease, whereas leannesswas most strongly associated with an increased risk of deathamong current or former smokers with a history of disease. Forcurrent or former smokers with no history of disease and forthose who had never smoked and who had a history of disease,the pattern was intermediate.
Figure 1. Multivariate Relative Risk of Death from All Causes among Men and Women According to Body-Mass Index, Smoking Status, and Disease Status.
The four subgroups are mutually exclusive. Nonsmokers had never smoked. The reference category was made up of subjects with a body-mass index of 23.5 to 24.9.
The absolute risk of death varied substantially among thesefour subgroups. The age-standardized rates of death from allcauses were lowest among those who had never smoked and whohad no history of disease (at a body-mass index between 23.5and 24.9, there were 962 deaths per 100,000 men per year and682 deaths per 100,000 women per year), highest among currentor former smokers with a history of disease (2896 deaths per100,000 men per year and 1796 deaths per 100,000 women per year),and intermediate among those who were current or former smokerswith no history of disease (1559 deaths per 100,000 men peryear and 1023 deaths per 100,000 women per year) or those whohad never smoked and who had a history of disease (1819 deathsper 100,000 men per year and 1266 deaths per 100,000 women peryear).
Among subjects who had never smoked and who had no history ofdisease, the highest mortality rates were among the heaviestmen (relative risk, 2.68; 95 percent confidence interval, 1.76to 4.08) and women (relative risk, 1.89; 95 percent confidenceinterval, 1.62 to 2.21). There were much smaller increases inrisk among the leanest men (relative risk, 1.28; 95 percentconfidence interval, 1.04 to 1.58) and women (relative risk,1.36; 95 percent confidence interval, 1.26 to 1.48). The nadirof the curve of body-mass index and mortality was at a body-massindex between 23.5 and 24.9 in men and 22.0 and 23.4 in women.Relative risks were not significantly different from 1.00 forthe range of body-mass index between 22.0 and 26.4 in men and20.5 and 24.9 in women.
Effect of Race
Among subjects who had never smoked and who had no history ofdisease the association between a high body-mass index and anincreased risk of death from all causes was stronger in whitesthan in blacks (Table 2). At the highest level of body-massindex, white men and women had relative risks of 2.58 and 2.00,respectively. In contrast, the association between a high body-massindex and an increased risk of death appeared more moderateamong black men (relative risk, 1.35; 95 percent confidenceinterval, 0.89 to 2.06). However, the small numbers of deathsamong black men limited our analysis of risk at very high levelsof body-mass index. In black women, a small (20 to 30 percent)increase in risk was found only at the highest levels of body-massindex (35.0 or higher), and it was not statistically significant.Extreme leanness was associated with some increase in overallmortality in all subgroups (Table 2).
Table 2. Rates and Relative Risks of Death from All Causes among Subjects Who Had Never Smoked and Who Had No History of Disease, According to Body-Mass Index, Race, and Sex.
Effect of Cause of Death
The shape of the mortality curve differed according to the causeof death among subjects who had never smoked and who had nohistory of disease (Figure 2). The relation between body-massindex and the risk of death from cancer was positive and showedno elevation in risk among the leanest persons. The curve forthe risk of death from cardiovascular disease was J-shaped;for the risk of death from all other causes, the curve was U-shaped.The J-shaped and U-shaped curves were explained primarily byan increased risk of death among lean men and women as a resultof cerebrovascular disease, pneumonia, and diseases of the centralnervous system (data not shown). A high body-mass index wasmost predictive of death from cardiovascular disease, especiallyin men (relative risk, 2.90; 95 percent confidence interval,2.37 to 3.56). Significantly increased risks of death from cardiovasculardisease were found at all body-mass indexes of more than 25.0in women and 26.5 in men.
Figure 2. Multivariate Relative Risk of Death from Cardiovascular Disease, Cancer, and All Other Causes among Men and Women Who Had Never Smoked and Who Had No History of Disease at Enrollment, According to Body-Mass Index.
The reference category was made up of subjects with a body-mass index of 23.5 to 24.9.
Effect of Age
A high body-mass index was associated with increased risk ofdeath from all causes at all ages among both men and women whohad never smoked and who had no history of disease (Table 3).Although the relative increase in risk associated with a highbody-mass index declined with increasing age (to a 50 percentincrease in men 75 years of age or older and to a 40 to 50 percentincrease in women 75 or older), the absolute increase in deathrates associated with a high body-mass index was greatest inelderly men and women. The excess risk for the heaviest menand women who were 75 or older, expressed as the differencein rates, was 2230 deaths per 100,000 men per year and 1652deaths per 100,000 women per year. The nadir of the curve waswithin the range of body-mass index from 20.5 to 24.9 for allsix groups categorized according to age and sex.
Table 3. Rates and Relative Risks of Death from All Causes among Subjects Who Had Never Smoked and Who Had No History of Disease, According to Body-Mass Index, Sex, and Age.
Discussion
In this large, prospective study, the lowest rates of deathfrom all causes were found at body-mass indexes between 23.5and 24.9 in men and 22.0 and 23.4 in women; relative risks werenot significantly elevated for the range of body-mass indexesbetween 22.0 and 26.4 in men and 20.5 and 24.9 in women. Deathrates increased throughout the range of moderate and severeoverweight for both men and women, but less so for blacks, particularlyblack women. The risk of death increased with an increasingbody-mass index in all age groups and for all categories ofcauses of death.
As expected,17 the shape and magnitude of the association betweenbody-mass index and mortality were substantially modified bya history of both smoking and disease, factors that are predictiveof leanness and poor survival. Limiting the primary analysesto subjects who had never smoked and who had no history of diseaseat enrollment greatly reduced the apparent elevation in therisk of death among lean persons, increased the risk among heavypersons, and shifted downward the body-mass index level associatedwith the lowest risk of death. Among current or former smokerswith a history of disease, the prospective effect of body-massindex on the risk of illness and death cannot be separated fromthe effect of smoking and disease on the body-mass index. Publichealth recommendations regarding optimal body-mass index aretherefore most valid when they are based on studies of healthypersons who have never smoked.
We found, as did previous studies,2,21,22,23,24,26 that obesitywas least strongly associated with the risk of death from anycause among black women. Among black women, we found a small(approximately 20 to 30 percent) increase in risk for thosewith a body-mass index of 35.0 or higher, in contrast to therisk among the heaviest white women, which was increased byapproximately 75 to 100 percent. Although black women tend tohave a relatively central and abdominal distribution of bodyfat as compared with white women,21,34 some evidence suggeststhat the central distribution of fat in black women may havea weaker effect on atherogenic risk factors such as levels ofcholesterol, triglycerides, and sex hormonebinding globulinand degree of peripheral insulin resistance.34 Our findingsin black men parallel the findings of other studies2,21,26 inshowing moderate (approximately 20 to 35 percent) increasesin mortality at body-mass index levels of 25.0 or higher. However,there were insufficient numbers of black men in our cohort whohad a body-mass index of 32.0 or higher for us to evaluate theeffect of extreme adiposity in these men.
The cause of death modified the relation between body-mass indexand the risk of death in both men and women. The heaviest menand women had a 40 to 80 percent increase in the risk of dyingfrom cancer, and there was no evidence of an increased riskamong the leanest subjects, findings consistent with the resultsof studies in animals that showed that dietary restriction candramatically decrease the incidence of tumors and the rate oftumor growth.35 In contrast to the fairly linear relation foundin the risk of death from cancer, a curvilinear relation wasfound for the risks of death from cardiovascular disease anddeath from other causes. These findings were explained primarilyby an increased risk of death among lean men and women as aresult of cerebrovascular disease, pneumonia, and diseases ofthe central nervous system. In other prospective studies, leannesshas been associated with an increased risk of respiratory disease14and cerebrovascular disease.14,36
A high body-mass index was associated with higher rates of deathfrom all causes among both men and women in all age groups,including those 75 years or older. Although the relative riskof death declined with increasing age, the absolute risk ofdeath associated with adiposity increased substantially withincreasing age and was highest in the oldest age groups. Theseage-specific findings are similar to the recently publishedresults of an earlier study of an American Cancer Society cohort,the Cancer Prevention Study I.15 When we used either absoluteor relative measures of risk, our data indicated that heaviermen and women have an increased risk of death at all ages. Theoptimal body-mass index for longevity fell between 20.5 and24.9 for men and women of all ages. These data offer supportfor the use of a single recommended range of body weight throughoutlife.
Despite our best efforts to control for bias from antecedentdisease, it is likely that we were unable to eliminate suchbias completely. Thus, the increased risk of death from specificcauses that was associated with leanness in this and other studiesmay reflect preexisting, but unrecognized, disease processes,even after careful exclusions have been made. Also, althoughwe had information on recent weight loss, we were unable tocontrol for long-term weight loss. Several investigators havesuggested that there is an association between illness-relatedweight loss over a period of many years and the subsequent riskof death in very thin persons and that controlling for recentweight loss may be insufficient.3,13
Although an understanding of the risk associated with leannessis of scientific interest, in terms of public health, of greaterconcern is the excess risk of death due to obesity. Nearly onethird (32.6 percent) of adults in the United States meet theWorld Health Organization's definition of grade 1 overweight(a body-mass index between 25.0 and 29.9), and 22.3 percentmeet the criteria for grade 2 and grade 3 overweight (a body-massindex of 30.0 or higher).37 In contrast, only 7.7 percent ofadults in the United States have a body-mass index lower than20.0, and only 1.5 percent have a body-mass index lower than18.0.37
The measure of adiposity that we used in our study has severallimitations. We used self-reported weight and height at enrollmentto calculate body-mass index, a widely used37 index of weightadjusted for height. Although self-reported weight and heightare highly correlated with measured weight and height,38 a small,generally systematic, error exists an overestimationof height and an underestimation of weight, especially at higherweights.38 Thus, our measure of body-mass index probably underestimatedthe true body-mass index of overweight persons (e.g., a body-massindex of 27 calculated from self-reported weight and heightis likely to have been closer to a true value of 28). We hadno direct measure of adiposity or of lean body mass, and wehad no measure of central adiposity, such as the ratio of waistcircumference to hip circumference. Although the body-mass indexis highly correlated with more direct measures of body fat inmost populations,39 it may be a less useful indicator of adiposityamong the elderly, who tend to have a shift of fat from peripheralto central sites with a concomitant increase in waist-to-hipratio but no increase in body-mass index.40 Folsom et al.5 foundthe waist-to-hip ratio to be a better predictor of the riskof death than the body-mass index in a prospective cohort ofolder women in Iowa.
The large size of our cohort allowed us to follow, for a 14-yearperiod, more than 300,000 apparently healthy people who hadnever smoked and to investigate the relation between body-massindex and the risk of death across a wide range of body-massindexvalues and according to age, race, sex, and cause of death.In addition, we were able to control for other potential confoundersof the relation.
In summary, our findings support the well-established increasein the risk of death associated with severe overweight as wellas a gradient of increasing risk associated with moderate overweight.The consistency of our findings in men and women and in allage groups also argues for the use of a single recommended rangeof body weight throughout life.
We are indebted to Richard Peto, F.R.S., and Drs. I-Min Lee,Alan D. Lopez, and David F. Williamson for their thoughtfulreview and comments and to Missy Jamison for data managementand collection.
Source Information
From the Department of Epidemiology and Surveillance Research, American Cancer Society, Atlanta.
Address reprint requests to Dr. Calle at the American Cancer Society, 1599 Clifton Rd. NE, Atlanta, GA 30329.
References
Allison DB, Gallagher D, Heo M, Pi-Sunyer FX, Heymsfield SB. Body mass index and all-cause mortality among people age 70 and over: the Longitudinal Study of Aging. Int J Obes Relat Metab Disord 1997;21:424-431. [CrossRef][Medline]
Cornoni-Huntley JC, Harris TB, Everett DF, et al. An overview of body weight of older persons, including the impact on mortality. J Clin Epidemiol 1991;44:743-753. [CrossRef][Medline]
Diehr P, Bild DE, Harris TB, Duxbury A, Siscovick D, Rossi M. Body mass index and mortality in nonsmoking older adults: the Cardiovascular Health Study. Am J Public Health 1998;88:623-629. [Free Full Text]
Durazo-Arvizu R, Cooper RS, Luke A, Prewitt TE, Liao Y, McGee DL. Relative weight and mortality in U.S. blacks and whites: findings from representative national population samples. Ann Epidemiol 1997;7:383-395. [CrossRef][Medline]
Folsom AR, Kaye SA, Sellers TA, et al. Body fat distribution and 5-year risk of death in older women. JAMA 1993;269:483-487. [Erratum, JAMA 1993;269:1254.] [Free Full Text]
Garfinkel L. Overweight and mortality. Cancer 1986;58:1826-1829. [CrossRef][Medline]
Harris T, Cook EF, Garrison R, Higgins M, Kannel W, Goldman L. Body mass index and mortality among nonsmoking older persons. JAMA 1988;259:1520-1524. [Free Full Text]
Lee IM, Manson JE, Hennekens CH, Paffenbarger RS Jr. Body weight and mortality: a 27-year follow-up of middle-aged men. JAMA 1993;270:2823-2828. [Free Full Text]
Lew EA, Garfinkel L. Variations in mortality by weight among 750,000 men and women. J Chronic Dis 1979;32:563-576. [CrossRef][Medline]
Lindsted K, Tonstad S, Kuzma JW. Body mass index and patterns of mortality among Seventh-day Adventist men. Int J Obes 1991;15:397-406. [Medline]
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. [Free Full Text]
Manson JE, Willett WC, Stampfer MJ, et al. Body weight and mortality among women. N Engl J Med 1995;333:677-685. [Free Full Text]
Losonczy KG, Harris TB, Cornoni-Huntley J, et al. Does weight loss from middle age to old age explain the inverse weight mortality relation in old age? Am J Epidemiol 1995;141:312-321. [Free Full Text]
Singh PN, Lindsted KD. Body mass and 26-year risk of mortality from specific diseases among women who never smoked. Epidemiology 1998;9:246-254. [CrossRef][Medline]
Stevens J, Cai J, Pamuk ER, Williamson DF, Thun MJ, Wood JL. The effect of age on the association between body-mass index and mortality. N Engl J Med 1998;338:1-7. [Free Full Text]
Troiano RP, Frongillo EA Jr, Sobal J, Levitsky DA. The relationship between body weight and mortality: a quantitative analysis of combined information from existing studies. Int J Obes Relat Metab Disord 1996;20:63-75. [Medline]
Manson JE, Stampfer MJ, Hennekens CH, Willett WC. Body weight and longevity: a reassessment. JAMA 1987;257:353-358. [Free Full Text]
Willett WC, Stampfer M, Manson J, Vanltallie T. New weight guidelines for Americans: justified or injudicious? Am J Clin Nutr 1991;53:1102-1103. [Free Full Text]
Department of Agriculture, Department of Health and Human Services. Nutrition and your health: dietary guidelines for Americans. 3rd ed. Home and garden bulletin no. 232. Washington, D.C.: Government Printing Office, 1990.
Department of Agriculture, Department of Health and Human Services. Nutrition and your health: dietary guidelines for Americans. 4th ed. Home and garden bulletin no. 232. Washington, D.C.: Government Printing Office, 1995.
Freedman DS, Williamson DF, Croft JB, Ballew C, Byers T. Relation of body fat distribution to ischemic heart disease. Am J Epidemiol 1995;142:53-63. [Free Full Text]
Johnson JL, Heineman EF, Heiss GHC, Hames CG, Tyroler HA. Cardiovascular disease risk factors and mortality among black women and white women aged 40-69 years in Evans County, Georgia. Am J Epidemiol 1986;123:209-220. [Free Full Text]
Stevens J, Keil JE, Rust PF, Tyroler HA, Davis CE, Gazes PC. Body mass index and body girths as predictors of mortality in black and white women. Arch Intern Med 1992;152:1257-1262. [Free Full Text]
Stevens J, Plankey MW, Williamson DF, et al. The body mass index-mortality relationship in white and African American women. Obes Res 1998;6:268-277. [Medline]
Tyroler HA, Knowles MG, Wing SB, et al. Ischemic heart disease risk factors and twenty-year mortality in middle-age Evans County black males. Am Heart J 1984;108:738-746. [CrossRef][Medline]
Wienpahl J, Ragland DR, Sidney S. Body mass index and 15-year mortality in a cohort of black men and women. J Clin Epidemiol 1990;43:949-960. [CrossRef][Medline]
Garfinkel L. Selection, follow-up, and analysis in the American Cancer Society prospective studies. In: National Cancer Institute monograph 67. Washington, D.C.: Government Printing Office, 1985:49-52.
Calle EE, Terrell DD. Utility of the National Death Index for ascertainment of mortality among cancer prevention study II participants. Am J Epidemiol 1993;137:235-241. [Free Full Text]
Physical status: the use and interpretation of anthropometry: report of a WHO expert committee. WHO Tech Rep Ser 1995;854:1-452.
Manual of the international statistical classification of diseases, injuries, and causes of death. Vol. 1. Geneva: World Health Organization, 1977.
Rothman KJ. Modern epidemiology. Boston: Little, Brown, 1986.
Cox DR. Regression models and life-tables. J R Stat Soc [B] 1972;34:187-220.
Thun MJ, Calle EE, Namboodiri MM, et al. Risk factors for fatal colon cancer in a large prospective study. J Natl Cancer Inst 1992;84:1491-1500. [Free Full Text]
Stevens J, Gautman SP, Keil JE. Body mass index and fat patterning as correlates of lipids and hypertension in an elderly, biracial population. J Gerontol 1993;48:M249-M254. [Abstract]
Dunn SE, Kari FW, French J, et al. Dietary restriction reduces insulin-like growth factor I levels, which modulates apoptosis, cell proliferation, and tumor progression in p53-deficient mice. Cancer Res 1997;57:4667-4672. [Free Full Text]
Rexrode KM, Hennekens CH, Willett WC, et al. A prospective study of body mass index, weight change, and risk of stroke in women. JAMA 1997;277:1539-1545. [Free Full Text]
Kuczmarski RJ, Carroll MD, Flegal KM, Troiano RP. Varying body mass index cutoff points to describe overweight prevalence among U.S. adults: NHANES III (1988 to 1994). Obes Res 1997;5:542-548. [Medline]
Stevens J, Keil JE, Waid LR, Gazes PC. Accuracy of current, 4-year, and 28-year self-reported body weight in an elderly population. Am J Epidemiol 1990;132:1156-1163. [Free Full Text]
Keys A, Fidanza F, Karvonen MJ, Kimura N, Taylor HL. Indices of relative weight and obesity. J Chronic Dis 1972;25:329-343. [CrossRef][Medline]
Borkan GA, Hults DE, Gerzof SG, Robbins AH, Silbert CK. Age changes in body composition revealed by computed tomography. J Gerontol 1983;38:673-677. [Free Full Text]
Body-Mass Index and Mortality
Byers T., Durazo-Arvizu R. A., Goldbourt U., McGee D. L., Calle E. E., Thun M. J., Rodriguez C.
Extract |
Full Text
N Engl J Med 2000;
342:286-289, Jan 27, 2000.
Correspondence
This article has been cited by other articles:
Cordeiro, A. C., Qureshi, A. R., Stenvinkel, P., Heimburger, O., Axelsson, J., Barany, P., Lindholm, B., Carrero, J. J.
(2010). Abdominal fat deposition is associated with increased inflammation, protein-energy wasting and worse outcome in patients undergoing haemodialysis. Nephrol Dial Transplant
25: 562-568
[Abstract][Full Text]
Berraho, M., Nejjari, C., Raherison, C., El Achhab, Y., Tachfouti, N., Serhier, Z., Dartigues, J. F., Barberger-Gateau, P.
(2010). Body Mass Index, Disability, and 13-Year Mortality in Older French Adults. J Aging Health
22: 68-83
[Abstract]
Ades, P. A., Savage, P. D.
(2010). The Obesity Paradox: Perception vs Knowledge. Mayo Clin Proc.
85: 112-114
[Full Text]
McAuley, P. A., Kokkinos, P. F., Oliveira, R. B., Emerson, B. T., Myers, J. N.
(2010). Obesity Paradox and Cardiorespiratory Fitness in 12,417 Male Veterans Aged 40 to 70 Years. Mayo Clin Proc.
85: 115-121
[Abstract][Full Text]
Kaess, B M, Jozwiak, J, Mastej, M, Lukas, W, Grzeszczak, W, Windak, A, Piwowarska, W, Tykarski, A, Konduracka, E, Rygiel, K, Manasar, A, Samani, N J, Tomaszewski, M
(2010). Association between anthropometric obesity measures and coronary artery disease: a cross-sectional survey of 16 657 subjects from 444 Polish cities. Heart
96: 131-135
[Abstract][Full Text]
Hastie, C. E., Padmanabhan, S., Slack, R., Pell, A. C.H., Oldroyd, K. G., Flapan, A. D., Jennings, K. P., Irving, J., Eteiba, H., Dominiczak, A. F., Pell, J. P.
(2010). Obesity paradox in a cohort of 4880 consecutive patients undergoing percutaneous coronary intervention. Eur Heart J
31: 222-226
[Abstract][Full Text]
Katzmarzyk, P. T, Bray, G. A, Greenway, F. L, Johnson, W. D, Newton, R. L Jr, Ravussin, E., Ryan, D. H, Smith, S. R, Bouchard, C.
(2010). Racial differences in abdominal depot-specific adiposity in white and African American adults. Am. J. Clin. Nutr.
91: 7-15
[Abstract][Full Text]
Moon, H.-G., Han, W., Noh, D.-Y.
(2009). Underweight and Breast Cancer Recurrence and Death: A Report From the Korean Breast Cancer Society. JCO
27: 5899-5905
[Abstract][Full Text]
Wiggins, T. F., Garrow, D. A., DeLegge, M. H.
(2009). Evaluation of Percutaneous Endoscopic Feeding Tube Placement in Obese Patients. Nutr Clin Pract
24: 723-727
[Abstract][Full Text]
Enns, L. C., Morton, J. F., Mangalindan, R. S., McKnight, G. S., Schwartz, M. W., Kaeberlein, M. R., Kennedy, B. K., Rabinovitch, P. S., Ladiges, W. C.
(2009). Attenuation of Age-Related Metabolic Dysfunction in Mice With a Targeted Disruption of the C{beta} Subunit of Protein Kinase A. J Gerontol A Biol Sci Med Sci
64A: 1221-1231
[Abstract][Full Text]
Oreopoulos, A., McAlister, F. A., Kalantar-Zadeh, K., Padwal, R., Ezekowitz, J. A., Sharma, A. M., Kovesdy, C. P., Fonarow, G. C., Norris, C. M.
(2009). The relationship between body mass index, treatment, and mortality in patients with established coronary artery disease: a report from APPROACH. Eur Heart J
30: 2584-2592
[Abstract][Full Text]
Yi, S.-W., Odongua, N., Nam, C. M., Sull, J. W., Ohrr, H.
(2009). Body Mass Index and Stroke Mortality by Smoking and Age at Menopause Among Korean Postmenopausal Women. Stroke
40: 3428-3435
[Abstract][Full Text]
Williams, S. R., Pham-Kanter, G., Leitsch, S. A.
(2009). Measures of Chronic Conditions and Diseases Associated With Aging in the National Social Life, Health, and Aging Project. J Gerontol B Psychol Sci Soc Sci
64B: i67-i75
[Abstract][Full Text]
Takaoka, M., Nagata, D., Kihara, S., Shimomura, I., Kimura, Y., Tabata, Y., Saito, Y., Nagai, R., Sata, M.
(2009). Periadventitial Adipose Tissue Plays a Critical Role in Vascular Remodeling. Circ. Res.
105: 906-911
[Abstract][Full Text]
Sawada, T., Yamada, H., Dahlof, B., Matsubara, H., for the KYOTO HEART Study Group,
(2009). Effects of valsartan on morbidity and mortality in uncontrolled hypertensive patients with high cardiovascular risks: KYOTO HEART Study. Eur Heart J
30: 2461-2469
[Abstract][Full Text]
van Kruijsdijk, R. C.M., van der Wall, E., Visseren, F. L.J.
(2009). Obesity and Cancer: The Role of Dysfunctional Adipose Tissue. Cancer Epidemiol. Biomarkers Prev.
18: 2569-2578
[Abstract][Full Text]
Chazot, C., Gassia, J.-P., Di Benedetto, A., Cesare, S., Ponce, P., Marcelli, D.
(2009). Is there any survival advantage of obesity in Southern European haemodialysis patients?. Nephrol Dial Transplant
24: 2871-2876
[Abstract][Full Text]
Bouillanne, O., Dupont-Belmont, C., Hay, P., Hamon-Vilcot, B., Cynober, L., Aussel, C.
(2009). Fat mass protects hospitalized elderly persons against morbidity and mortality. Am. J. Clin. Nutr.
90: 505-510
[Abstract][Full Text]
Inoue, H., Yamauchi, K., Kobayashi, H., Shikanai, T., Nakamura, Y., Satoh, J., Kohno, N., Mishima, M., Sasaki, H., Hildebrandt, J.
(2009). A New Breath-Holding Test May Noninvasively Reveal Early Lung Abnormalities Caused by Smoking and/or Obesity. Chest
136: 545-553
[Abstract][Full Text]
Lewis, C. E., McTigue, K. M., Burke, L. E., Poirier, P., Eckel, R. H., Howard, B. V., Allison, D. B., Kumanyika, S., Pi-Sunyer, F. X.
(2009). Mortality, Health Outcomes, and Body Mass Index in the Overweight Range: A Science Advisory From the American Heart Association. Circulation
119: 3263-3271
[Full Text]
Turer, A. T., Mahaffey, K. W., Honeycutt, E., Tuttle, R. H., Shaw, L. K., Sketch, M. H. Jr., Smith, P. K., Califf, R. M., Alexander, J. H.
(2009). Influence of body mass index on the efficacy of revascularization in patients with coronary artery disease.. J. Thorac. Cardiovasc. Surg.
137: 1468-1474
[Abstract][Full Text]
McAuley, P., Pittsley, J., Myers, J., Abella, J., Froelicher, V. F.
(2009). Fitness and Fatness as Mortality Predictors in Healthy Older Men: The Veterans Exercise Testing Study. J Gerontol A Biol Sci Med Sci
64A: 695-699
[Abstract][Full Text]
Field, A. E., Malspeis, S., Willett, W. C.
(2009). Weight Cycling and Mortality Among Middle-aged or Older Women. Arch Intern Med
169: 881-886
[Abstract][Full Text]
Diller, L., Chow, E. J., Gurney, J. G., Hudson, M. M., Kadin-Lottick, N. S., Kawashima, T. I., Leisenring, W. M., Meacham, L. R., Mertens, A. C., Mulrooney, D. A., Oeffinger, K. C., Packer, R. J., Robison, L. L., Sklar, C. A.
(2009). Chronic Disease in the Childhood Cancer Survivor Study Cohort: A Review of Published Findings. JCO
27: 2339-2355
[Full Text]
Mak, K.-H., Bhatt, D. L., Shao, M., Haffner, S. M., Hamm, C. W., Hankey, G. J., Johnston, S. C., Montalescot, G., Steg, P. G., Steinhubl, S. R., Fox, K. A.A., Topol, E. J.
(2009). The influence of body mass index on mortality and bleeding among patients with or at high-risk of atherothrombotic disease. Eur Heart J
30: 857-865
[Abstract][Full Text]
Harris, K. C., Kuramoto, L. K., Schulzer, M., Retallack, J. E.
(2009). Effect of school-based physical activity interventions on body mass index in children: a meta-analysis. CMAJ
180: 719-726
[Abstract][Full Text]
Chirinos, J. A., Franklin, S. S., Townsend, R. R., Raij, L.
(2009). Body Mass Index and Hypertension Hemodynamic Subtypes in the Adult US Population. Arch Intern Med
169: 580-586
[Abstract][Full Text]
Khalangot, M, Tronko, M, Kravchenko, V, Kulchinska, J, Hu, G
(2009). Body mass index and the risk of total and cardiovascular mortality among patients with type 2 diabetes: a large prospective study in Ukraine. Heart
95: 454-460
[Abstract][Full Text]
Frankel, D. S., Vasan, R. S., D'Agostino, R. B. Sr, Benjamin, E. J., Levy, D., Wang, T. J., Meigs, J. B.
(2009). Resistin, Adiponectin, and Risk of Heart Failure: The Framingham Offspring Study. J Am Coll Cardiol
53: 754-762
[Abstract][Full Text]
Chapman, I. M, Visvanathan, R., Hammond, A. J, Morley, J. E, Field, J. B., Tai, K., Belobrajdic, D. P, Chen, R. Y., Horowitz, M.
(2009). Effect of testosterone and a nutritional supplement, alone and in combination, on hospital admissions in undernourished older men and women. Am. J. Clin. Nutr.
89: 880-889
[Abstract][Full Text]
Dunn, S. P., Bleske, B., Dorsch, M., Macaulay, T., Van Tassell, B., Vardeny, O.
(2009). Nutrition and Heart Failure: Impact of Drug Therapies and Management Strategies. Nutr Clin Pract
24: 60-75
[Abstract][Full Text]
Varness, T., Allen, D. B., Carrel, A. L., Fost, N.
(2009). Childhood Obesity and Medical Neglect. Pediatrics
123: 399-406
[Abstract][Full Text]
Pischon, T., Boeing, H., Hoffmann, K., Bergmann, M., Schulze, M.B., Overvad, K., van der Schouw, Y.T., Spencer, E., Moons, K.G.M., Tjonneland, A., Halkjaer, J., Jensen, M.K., Stegger, J., Clavel-Chapelon, F., Boutron-Ruault, M.-C., Chajes, V., Linseisen, J., Kaaks, R., Trichopoulou, A., Trichopoulos, D., Bamia, C., Sieri, S., Palli, D., Tumino, R., Vineis, P., Panico, S., Peeters, P.H.M., May, A.M., Bueno-de-Mesquita, H.B., van Duijnhoven, F.J.B., Hallmans, G., Weinehall, L., Manjer, J., Hedblad, B., Lund, E., Agudo, A., Arriola, L., Barricarte, A., Navarro, C., Martinez, C., Quiros, J.R., Key, T., Bingham, S., Khaw, K.T., Boffetta, P., Jenab, M., Ferrari, P., Riboli, E.
(2008). General and Abdominal Adiposity and Risk of Death in Europe. NEJM
359: 2105-2120
[Abstract][Full Text]
Nass, R., Pezzoli, S. S., Oliveri, M. C., Patrie, J. T., Harrell, F. E. Jr., Clasey, J. L., Heymsfield, S. B., Bach, M. A., Vance, M. L., Thorner, M. O.
(2008). Effects of an Oral Ghrelin Mimetic on Body Composition and Clinical Outcomes in Healthy Older Adults: A Randomized Trial. ANN INTERN MED
149: 601-611
[Abstract][Full Text]
Koster, A., Leitzmann, M. F, Schatzkin, A., Adams, K. F, van Eijk, J. T., Hollenbeck, A. R, Harris, T. B
(2008). The combined relations of adiposity and smoking on mortality. Am. J. Clin. Nutr.
88: 1206-1212
[Abstract][Full Text]
Dossett, L. A., Heffernan, D., Lightfoot, M., Collier, B., Diaz, J. J., Sawyer, R. G., May, A. K.
(2008). Obesity and Pulmonary Complications in Critically Injured Adults. Chest
134: 974-980
[Abstract][Full Text]
Li, L., Hardy, R., Kuh, D., Lo Conte, R., Power, C.
(2008). Child-to-Adult Body Mass Index and Height Trajectories: A Comparison of 2 British Birth Cohorts. Am J Epidemiol
168: 1008-1015
[Abstract][Full Text]
Sauvaget, C., Ramadas, K., Thomas, G., Vinoda, J., Thara, S., Sankaranarayanan, R.
(2008). Body mass index, weight change and mortality risk in a prospective study in India. Int J Epidemiol
37: 990-1004
[Abstract][Full Text]
Madala, M. C., Franklin, B. A., Chen, A. Y., Berman, A. D., Roe, M. T., Peterson, E. D., Ohman, E. M., Smith, S. C. Jr, Gibler, W. B., McCullough, P. A., for the CRUSADE Investigators,
(2008). Obesity and Age of First Non-ST-Segment Elevation Myocardial Infarction. J Am Coll Cardiol
52: 979-985
[Abstract][Full Text]
Litwin, S. E.
(2008). Which Measures of Obesity Best Predict Cardiovascular Risk?. J Am Coll Cardiol
52: 616-619
[Full Text]
Ruiz, J. R, Sui, X., Lobelo, F., Morrow, J. R Jr, Jackson, A. W, Sjostrom, M., Blair, S. N
(2008). Association between muscular strength and mortality in men: prospective cohort study. BMJ
337: a439-a439
[Abstract][Full Text]
Mafra, D., Guebre-Egziabher, F., Fouque, D.
(2008). Body mass index, muscle and fat in chronic kidney disease: questions about survival. Nephrol Dial Transplant
23: 2461-2466
[Abstract][Full Text]
Hofer, R. E., Kai, T., Decker, P. A., Warner, D. O.
(2008). Obesity as a Risk Factor for Unanticipated Admissions After Ambulatory Surgery. Mayo Clin Proc.
83: 908-913
[Abstract][Full Text]
Horwich, T. B., Fonarow, G. C.
(2008). Measures of Obesity and Outcomes After Myocardial Infarction. Circulation
118: 469-471
[Full Text]
Taegtmeyer, H., Algahim, M. F.
(2008). Obesity and cardiac metabolism in women.. J Am Coll Cardiol Img
1: 434-435
[Full Text]
Carroll, D., Phillips, A. C., Der, G.
(2008). Body Mass Index, Abdominal Adiposity, Obesity, and Cardiovascular Reactions to Psychological Stress in a Large Community Sample. Psychosom. Med.
70: 653-660
[Abstract][Full Text]
Panoulas, V F, Ahmad, N, Fazal, A A, Kassamali, R H, Nightingale, P, Kitas, G D, Labib, M
(2008). The inter-operator variability in measuring waist circumference and its potential impact on the diagnosis of the metabolic syndrome. Postgrad. Med. J.
84: 344-347
[Abstract][Full Text]
Koster, A., Leitzmann, M. F., Schatzkin, A., Mouw, T., Adams, K. F., van Eijk, J. Th. M., Hollenbeck, A. R., Harris, T. B.
(2008). Waist Circumference and Mortality. Am J Epidemiol
167: 1465-1475
[Abstract][Full Text]
Muller-Ehmsen, J., Braun, D., Schneider, T., Pfister, R., Worm, N., Wielckens, K., Scheid, C., Frommolt, P., Flesch, M.
(2008). Decreased number of circulating progenitor cells in obesity: beneficial effects of weight reduction. Eur Heart J
29: 1560-1568
[Abstract][Full Text]
Nandy, S.
(2008). `Misunderestimating' Chronic Poverty?: Exploring Chronic Poverty in Developing Countries Using Cross-Sectional Demographic and Health Data. Global Social Policy
8: 45-79
[Abstract]
Bruce, E. C., Guo, Y., Lawson, K. C., Manatunga, A. K., Auyeung, S. F., McDonald, W. M., Rushing, N., Brown, A. R., Gilles, N., Emery, M., Bonsall, R., Porquez, J., Stowe, Z., Nemeroff, C. B., Musselman, D. L.
(2008). Platelet Thromboxane A2 Secretion in Patients With Major Depression Responsive to Electroconvulsive Therapy. Psychosom. Med.
70: 319-327
[Abstract][Full Text]
Cameron, A. J., Zimmet, P. Z.
(2008). Expanding Evidence for the Multiple Dangers of Epidemic Abdominal Obesity. Circulation
117: 1624-1626
[Full Text]
Fox, C. S., Pencina, M. J., D'Agostino, R. B., Murabito, J. M., Seely, E. W., Pearce, E. N., Vasan, R. S.
(2008). Relations of Thyroid Function to Body Weight: Cross-sectional and Longitudinal Observations in a Community-Based Sample. Arch Intern Med
168: 587-592
[Abstract][Full Text]
Regidor, E, Gutierrez-Fisac, J L, Ronda, E, Calle, M E, Martinez, D, Dominguez, V
(2008). Impact of cumulative area-based adverse socioeconomic environment on body mass index and overweight. J. Epidemiol. Community Health
62: 231-238
[Abstract][Full Text]
Abdulla, J., Kober, L., Abildstrom, S. Z., Christensen, E., James, W. P. T., Torp-Pedersen, C.
(2008). Impact of obesity as a mortality predictor in high-risk patients with myocardial infarction or chronic heart failure: a pooled analysis of five registries. Eur Heart J
29: 594-601
[Abstract][Full Text]
Erdmann, J., Kallabis, B., Oppel, U., Sypchenko, O., Wagenpfeil, S., Schusdziarra, V.
(2008). Development of hyperinsulinemia and insulin resistance during the early stage of weight gain. Am. J. Physiol. Endocrinol. Metab.
294: E568-E575
[Abstract][Full Text]
Ogihara, T., Nakao, K., Fukui, T., Fukiyama, K., Ueshima, K., Oba, K., Sato, T., Saruta, T., for the Candesartan Antihypertensive Survival Eval,
(2008). Effects of Candesartan Compared With Amlodipine in Hypertensive Patients With High Cardiovascular Risks: Candesartan Antihypertensive Survival Evaluation in Japan Trial. Hypertension
51: 393-398
[Abstract][Full Text]
Schernthaner, G., Morton, J. M.
(2008). Bariatric Surgery in Patients With Morbid Obesity and Type 2 Diabetes. Diabetes Care
31: S297-S302
[Full Text]
Abell, J. E., Egan, B. M., Wilson, P. W.F., Lipsitz, S., Woolson, R. F., Lackland, D. T.
(2008). Differences in Cardiovascular Disease Mortality Associated With Body Mass Between Black and White Persons. AJPH
98: 63-66
[Abstract][Full Text]
Bloomgarden, Z. T.
(2008). Diabetes and Obesity: Part 2. Diabetes Care
31: 176-182
[Full Text]
Buchner, N. J., Sanner, B. M., Borgel, J., Rump, L. C.
(2007). Continuous Positive Airway Pressure Treatment of Mild to Moderate Obstructive Sleep Apnea Reduces Cardiovascular Risk. Am. J. Respir. Crit. Care Med.
176: 1274-1280
[Abstract][Full Text]
Dyer, D. N.
(2007). How Can Obesity Be Healthy?. Arch Intern Med
167: 2527-2528
[Full Text]
Bibbins-Domingo, K., Coxson, P., Pletcher, M. J., Lightwood, J., Goldman, L.
(2007). Adolescent Overweight and Future Adult Coronary Heart Disease. NEJM
357: 2371-2379
[Abstract][Full Text]
O'Neil, C. E., Nicklas, T. A.
(2007). State of the Art Reviews: Relationship Between Diet/ Physical Activity and Health. AMERICAN JOURNAL OF LIFESTYLE MEDICINE
1: 457-481
[Abstract]
Reeves, G. K, Pirie, K., Beral, V., Green, J., Spencer, E., Bull, D., Million Women Study Collaboration,
(2007). Cancer incidence and mortality in relation to body mass index in the Million Women Study: cohort study. BMJ
335: 1134-1134
[Abstract][Full Text]
Logroscino, G., Sesso, H. D., Paffenbarger, R. S. Jr, Lee, I-M.
(2007). Body Mass Index and Risk of Parkinson's Disease: A Prospective Cohort Study. Am J Epidemiol
166: 1186-1190
[Abstract][Full Text]
Flegal, K. M., Graubard, B. I., Williamson, D. F., Gail, M. H.
(2007). Cause-Specific Excess Deaths Associated With Underweight, Overweight, and Obesity. JAMA
298: 2028-2037
[Abstract][Full Text]
Yologlu, S., Sezgin, A. T., Sezgin, N., Yetkin, E., Olmez, E.
(2007). Comparison of Different Regression Analyses for Identifying Risk Factors in Obese and Nonobese Patients With Coronary Artery Disease. ANGIOLOGY
58: 543-549
[Abstract]
Rivlin, R. S
(2007). Keeping the young-elderly healthy: is it too late to improve our health through nutrition?. Am. J. Clin. Nutr.
86: 1572S-1576S
[Abstract][Full Text]
Rodrigo, G. J., Plaza, V.
(2007). Body Mass Index and Response to Emergency Department Treatment In Adults With Severe Asthma Exacerbations: A Prospective Cohort Study. Chest
132: 1513-1519
[Abstract][Full Text]
Flegal, K. M., Graubard, B. I., Williamson, D. F., Gail, M. H.
(2007). Impact of Smoking and Preexisting Illness on Estimates of the Fractions of Deaths Associated with Underweight, Overweight, and Obesity in the US Population. Am J Epidemiol
166: 975-982
[Abstract][Full Text]
Paniagua, J. A., de la Sacristana, A. G., Sanchez, E., Romero, I., Vidal-Puig, A., Berral, F. J., Escribano, A., Moyano, M. J., Perez-Martinez, P., Lopez-Miranda, J., Perez-Jimenez, F.
(2007). A MUFA-Rich Diet Improves Posprandial Glucose, Lipid and GLP-1 Responses in Insulin-Resistant Subjects. J. Am. Coll. Nutr.
26: 434-444
[Abstract][Full Text]
Stavropoulos-Kalinoglou, A., Metsios, G. S, Koutedakis, Y., Nevill, A. M, Douglas, K. M, Jamurtas, A., van Zanten, J. J C S V., Labib, M., Kitas, G. D
(2007). Redefining overweight and obesity in rheumatoid arthritis patients. Ann Rheum Dis
66: 1316-1321
[Abstract][Full Text]
Batty, G. D., Kivimaki, M., Smith, G. D., Marmot, M. G., Shipley, M. J.
(2007). Obesity and Overweight in Relation to Mortality in Men With and Without Type 2 Diabetes/Impaired Glucose Tolerance: The original Whitehall Study. Diabetes Care
30: 2388-2391
[Full Text]
Callaway, L. K., McIntyre, H. D., O'Callaghan, M., Williams, G. M., Najman, J. M., Lawlor, D. A.
(2007). The Association of Hypertensive Disorders of Pregnancy with Weight Gain over the Subsequent 21 Years: Findings from a Prospective Cohort Study. Am J Epidemiol
166: 421-428
[Abstract][Full Text]
Kenchaiah, S., Pocock, S. J., Wang, D., Finn, P. V., Zornoff, L. A.M., Skali, H., Pfeffer, M. A., Yusuf, S., Swedberg, K., Michelson, E. L., Granger, C. B., McMurray, J. J.V., Solomon, S. D., for the CHARM Investigators,
(2007). Body Mass Index and Prognosis in Patients With Chronic Heart Failure: Insights From the Candesartan in Heart failure: Assessment of Reduction in Mortality and morbidity (CHARM) Program. Circulation
116: 627-636
[Abstract][Full Text]
Anderson, J. W, Conley, S. B, Nicholas, A. S
(2007). One hundred pound weight losses with an intensive behavioral program: changes in risk factors in 118 patients with long-term follow-up. Am. J. Clin. Nutr.
86: 301-307
[Abstract][Full Text]
Bardia, A., Holtan, S. G., Slezak, J. M., Thompson, W. G.
(2007). Diagnosis of Obesity by Primary Care Physicians and Impact on Obesity Management. Mayo Clin Proc.
82: 927-932
[Abstract][Full Text]