BMR in a Brazilian adult probability sample: the Nutrition, Physical Activity and Health Survey

被引:18
作者
Anjos, Luiz A. [1 ,2 ]
Wahrlich, Vivian [1 ,2 ]
Vasconcellos, Mauricio T. L. [3 ]
机构
[1] Fundacao Oswaldo Cruz, Escola Nacl Saude Publ Sergio Arouca, Rio De Janeiro, RJ, Brazil
[2] Univ Fed Flumimense, Dept Nutr Social, Lab Avaliacao Nutr & Func, BR-21041970 Niteroi, RJ, Brazil
[3] Escola Nacl Ciencias Estat, Inst Brasileiro Geog & Estat, Rio De Janeiro, RJ, Brazil
关键词
Basal metabolism; Calorimetry; Indirect; Validation studies; Brazil; BASAL METABOLIC-RATE; RESTING ENERGY-EXPENDITURE; RIO-DE-JANEIRO; PREDICTIVE EQUATIONS; INDIRECT CALORIMETRY; YOUNG; POPULATION; VALIDATION; VALIDITY; WOMEN;
D O I
10.1017/S1368980012005381
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
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. Design: 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. Setting: The Nutrition, Physical Activity and Health Survey (PNAFS), a household survey conducted in Niteroi, Rio de Janeiro state, Brazil. Subjects: Representative sample of 529 adults (aged >= 20 years; 339 females) living in Niteroi, 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 and females, respectively). Conclusions: Current available predictive equations of BMR are not adequate to estimate BMR in Brazilians living in Niteroi, Rio de Janeiro, Brazil.
引用
收藏
页码:853 / 860
页数:8
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