Article
Obesity, smoking, and physical inactivity as risk factors for CKD: are men more vulnerable?
Division of Nephrology, Department of Medicine, St Olavs Hospital, Trondheim, Norway.
American Journal of Kidney Diseases (impact factor:
5.43).
03/2006;
47(3):396-405.
DOI:10.1053/j.ajkd.2005.11.027
pp.396-405
Source: PubMed
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Article: Association of morbid obesity and weight change over time with cardiovascular survival in hemodialysis population.
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ABSTRACT: In maintenance hemodialysis (MHD) outpatients, a reverse epidemiology is described, ie, baseline obesity appears paradoxically associated with improved survival. However, the association between changes in weight over time and prospective mortality is not known. Using time-dependent Cox models and adjusting for changes in laboratory values over time, the relation of quarterly-varying 3-month averaged body mass index (BMI) to all-cause and cardiovascular mortality was examined in a 2-year cohort of 54,535 MHD patients from virtually all DaVita dialysis clinics in the United States. Patients, aged 61.7 +/- 15.5 (SD) years, included 54% men and 45% with diabetes. Time-dependent unadjusted and multivariate-adjusted models, based on quarterly-averaged BMI controlled for case-mix and available time-varying laboratory surrogates of nutritional status, were calculated in 11 categories of BMI. Obesity, including morbid obesity, was associated with better survival and reduced cardiovascular death, even after accounting for changes in BMI and laboratory values over time. Survival advantages of obesity were maintained for dichotomized BMI cutoff values of 25, 30, and 35 kg/m2 across almost all strata of age, race, sex, dialysis dose, protein intake, and serum albumin level. Examining the regression slope of change in weight over time, progressively worsening weight loss was associated with poor survival, whereas weight gain showed a tendency toward decreased cardiovascular death. Weight gain and both baseline and time-varying obesity may be associated with reduced cardiovascular mortality in MHD patients independent of laboratory surrogates of nutritional status and their changes over time. Morbidly obese patients have the lowest mortality. Clinical trials need to verify these observational findings.American Journal of Kidney Diseases 10/2005; 46(3):489-500. · 5.43 Impact Factor -
Article: Preventing and Managing the Global Epidemic of Obesity.
Report of the World Health Organization Consultation of Obesity. -
Article: Beyond body mass index.
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ABSTRACT: Body mass index (BMI) is the cornerstone of the current classification system for obesity and its advantages are widely exploited across disciplines ranging from international surveillance to individual patient assessment. However, like all anthropometric measurements, it is only a surrogate measure of body fatness. Obesity is defined as an excess accumulation of body fat, and it is the amount of this excess fat that correlates with ill-health. We propose therefore that much greater attention should be paid to the development of databases and standards based on the direct measurement of body fat in populations, rather than on surrogate measures. In support of this argument we illustrate a wide range of conditions in which surrogate anthropometric measures (especially BMI) provide misleading information about body fat content. These include: infancy and childhood; ageing; racial differences; athletes; military and civil forces personnel; weight loss with and without exercise; physical training; and special clinical circumstances. We argue that BMI continues to serve well for many purposes, but that the time is now right to initiate a gradual evolution beyond BMI towards standards based on actual measurements of body fat mass.Obesity Reviews 09/2001; 2(3):141-7. · 7.04 Impact Factor
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Keywords
70.6% participation rate
95% confidence interval [CI]
body mass index
chronic kidney disease
CKD cases
cross-sectional health survey
end-stage renal disease
entire adult population
Glomerular filtration rate
known risk factors
Men
physical activity
physical inactivity
relative risk
Relative risks
Renal Disease Study formula
risk factors
serum creatinine levels
sex-adjusted logistic regression analyses
subjects 20 years