title: BMR in a Brazilian adult probability sample: the Nutrition, Physical Activity and Health Survey.
abstract: OBJECTIVE
  To measure BMR in a probability sample of adults from an urban city of Brazil and to compare indirectly measured BMR (BMRi) with BMR predicted from different equations.
  
  
  METHODS
  BMR data were obtained by indirect calorimetry and estimated by different predictive equations (Schofield; Harris and Benedict; Henry and Rees). Anthropometric and body composition measures were also obtained.
  
  
  METHODS
  The Nutrition, Physical Activity and Health Survey (PNAFS), a household survey conducted in Niterói, Rio de Janeiro state, Brazil.
  
  
  METHODS
  Representative sample of 529 adults (aged ≥20 years; 339 females) living in Niterói, Rio de Janeiro state, Brazil.
  
  
  RESULTS
  Mean BMRi values were 5839.7 (se 73.9) kJ/d and 4758.1 (se 39.5) kJ/d for men and women, respectively. Predicted BMR by all equations was significantly higher (difference between means and 95% CI did not include zero) than BMRi in both men and women of all ages. Overall bias in BMR (predicted BMR minus BMRi) using the Schofield equations (overestimation of about 20%) was higher than when using the Henry and Rees equations (13% and 16% overestimation for males and females, respectively). The percentage of individuals whose BMR predicted by the Schofield equations fell within 10% of BMRi was very low (7.8% and 14.1% of males nd females, respectively).
  
  
  CONCLUSIONS
  Current available predictive equations of BMR are not adequate to estimate BMR in Brazilians living in Niterói, Rio de Janeiro, Brazil.
authors.affiliation: 1 Escola Nacional de Saúde Pública Sergio Arouca, Fundação Oswaldo Cruz, Rio de Janeiro, RJ, Brasil.
authors.forename: Luiz A
authors.initials: LA
authors.lastname: Anjos
authors.affiliation: 1 Escola Nacional de Saúde Pública Sergio Arouca, Fundação Oswaldo Cruz, Rio de Janeiro, RJ, Brasil.
authors.forename: Vivian
authors.initials: V
authors.lastname: Wahrlich
authors.affiliation: 3 Escola Nacional de Ciências Estatísticas, Instituto Brasileiro de Geografia e Estatística, Rio de Janeiro, RJ, Brasil.
authors.forename: Mauricio Tl
authors.initials: MT
authors.lastname: Vasconcellos
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D000886:Anthropometry; D001481:Basal Metabolism; D015982:Bias; D001823:Body Composition; D001938:Brazil; D002153:Calorimetry, Indirect; D005260:Female; D006306:Health Surveys; D006801:Humans; D008297:Male; D008875:Middle Aged; D009043:Motor Activity; D009752:Nutritional Status; D015203:Reproducibility of Results; D012494:Sampling Studies; D055815:Young Adult