Tags

Type your tag names separated by a space and hit enter

Predictive equations for basal metabolic rate in Chinese adults: a cross-validation study.
J Am Diet Assoc 1995; 95(12):1403-8JA

Abstract

OBJECTIVE

To develop predictive equations for basal metabolic rate (BMR) in healthy Chinese adults and to evaluate factors that may influence BMR.

DESIGN

Measuring the BMR of Chinese adults by indirect calorimetry. Selected subjects were randomly assigned to a validation sample and a cross-validation sample. The validation sample was used to develop predictive equations that were cross-validated using the other sample.

SUBJECTS

Two hundred twenty-three healthy Chinese adults (102 men and 121 women) participated in the study. Their ages ranged from 20 to 78 years old (mean = 43.8 +/- 14.3 years).

MEASURES

BMR was measured by indirect calorimetry. Body composition was assessed by skinfold fat thicknesses, bioelectrical impedance analysis, and urinary creatinine excretion.

STATISTICAL ANALYSES PERFORMED

Student's t test, Pearson correlation coefficients, linear regression analyses, and the best subset were used for statistical analyses.

RESULTS

The better-fitting equation for predicting BMR in Chinese adults is BMR = 13.88 x weight (kg) + 4.16 x height (cm) - 3.43 x age (years) - 112.40 x sex (men = 0; women = 1) +54.34. Men had higher BMR values than women because men had greater fat-free mass, body cell mass, and muscle mass. BMR correlated best with body composition, which correlated highly with anthropometric measurements. Therefore, accurate determination of body weight and body height are beneficial in predicting a person's BMR. All of the currently available predictive equations overestimated BMR (P = .0001) for healthy Chinese adults. The equations developed in this study predict BMR more accurately for Chinese adults.

APPLICATIONS

The equations developed in this study are recommended for clinical use in healthy Chinese adults who are within normal limits for body weight.

Authors+Show Affiliations

Department of Nutrition of Taiwan University Hospital in Taipei, Republic of China.No affiliation info availableNo affiliation info available

Pub Type(s)

Clinical Trial
Journal Article
Randomized Controlled Trial
Research Support, Non-U.S. Gov't

Language

eng

PubMed ID

7594142

Citation

Liu, H Y., et al. "Predictive Equations for Basal Metabolic Rate in Chinese Adults: a Cross-validation Study." Journal of the American Dietetic Association, vol. 95, no. 12, 1995, pp. 1403-8.
Liu HY, Lu YF, Chen WJ. Predictive equations for basal metabolic rate in Chinese adults: a cross-validation study. J Am Diet Assoc. 1995;95(12):1403-8.
Liu, H. Y., Lu, Y. F., & Chen, W. J. (1995). Predictive equations for basal metabolic rate in Chinese adults: a cross-validation study. Journal of the American Dietetic Association, 95(12), pp. 1403-8.
Liu HY, Lu YF, Chen WJ. Predictive Equations for Basal Metabolic Rate in Chinese Adults: a Cross-validation Study. J Am Diet Assoc. 1995;95(12):1403-8. PubMed PMID: 7594142.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Predictive equations for basal metabolic rate in Chinese adults: a cross-validation study. AU - Liu,H Y, AU - Lu,Y F, AU - Chen,W J, PY - 1995/12/1/pubmed PY - 1995/12/1/medline PY - 1995/12/1/entrez SP - 1403 EP - 8 JF - Journal of the American Dietetic Association JO - J Am Diet Assoc VL - 95 IS - 12 N2 - OBJECTIVE: To develop predictive equations for basal metabolic rate (BMR) in healthy Chinese adults and to evaluate factors that may influence BMR. DESIGN: Measuring the BMR of Chinese adults by indirect calorimetry. Selected subjects were randomly assigned to a validation sample and a cross-validation sample. The validation sample was used to develop predictive equations that were cross-validated using the other sample. SUBJECTS: Two hundred twenty-three healthy Chinese adults (102 men and 121 women) participated in the study. Their ages ranged from 20 to 78 years old (mean = 43.8 +/- 14.3 years). MEASURES: BMR was measured by indirect calorimetry. Body composition was assessed by skinfold fat thicknesses, bioelectrical impedance analysis, and urinary creatinine excretion. STATISTICAL ANALYSES PERFORMED: Student's t test, Pearson correlation coefficients, linear regression analyses, and the best subset were used for statistical analyses. RESULTS: The better-fitting equation for predicting BMR in Chinese adults is BMR = 13.88 x weight (kg) + 4.16 x height (cm) - 3.43 x age (years) - 112.40 x sex (men = 0; women = 1) +54.34. Men had higher BMR values than women because men had greater fat-free mass, body cell mass, and muscle mass. BMR correlated best with body composition, which correlated highly with anthropometric measurements. Therefore, accurate determination of body weight and body height are beneficial in predicting a person's BMR. All of the currently available predictive equations overestimated BMR (P = .0001) for healthy Chinese adults. The equations developed in this study predict BMR more accurately for Chinese adults. APPLICATIONS: The equations developed in this study are recommended for clinical use in healthy Chinese adults who are within normal limits for body weight. SN - 0002-8223 UR - https://www.unboundmedicine.com/medline/citation/7594142/Predictive_equations_for_basal_metabolic_rate_in_Chinese_adults:_a_cross_validation_study_ L2 - https://linkinghub.elsevier.com/retrieve/pii/S0002-8223(95)00369-X DB - PRIME DP - Unbound Medicine ER -