Predictive Equation to Estimate Resting Metabolic Rate in Older Chilean Women
Resting metabolic rate (RMR) depends on body fat-free mass (FFM) and fat mass (FM), whereas abdominal fat distribution is an aspect that has yet to be adequately studied. The objective of the present study was to analyze the influence of waist circumference (WC) in predicting RMR and propose a speci...
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MDPI AG
2022-08-01
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| Online Access: | https://www.mdpi.com/2072-6643/14/15/3199 |
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| author | Eduard Maury-Sintjago Carmen Muñoz-Mendoza Alejandra Rodríguez-Fernández Marcela Ruíz-De la Fuente |
| author_facet | Eduard Maury-Sintjago Carmen Muñoz-Mendoza Alejandra Rodríguez-Fernández Marcela Ruíz-De la Fuente |
| author_sort | Eduard Maury-Sintjago |
| collection | DOAJ |
| description | Resting metabolic rate (RMR) depends on body fat-free mass (FFM) and fat mass (FM), whereas abdominal fat distribution is an aspect that has yet to be adequately studied. The objective of the present study was to analyze the influence of waist circumference (WC) in predicting RMR and propose a specific estimation equation for older Chilean women. This is an analytical cross-sectional study with a sample of 45 women between the ages of 60 and 85 years. Weight, height, body mass index (BMI), and WC were evaluated. RMR was measured by indirect calorimetry (IC) and %FM using the Siri equation. Adequacy (90% to 110%), overestimation (>110%), and underestimation (<90%) of the FAO/WHO/UNU, Harris–Benedict, Mifflin-St Jeor, and Carrasco equations, as well as those of the proposed equation, were evaluated in relation to RMR as measured by IC. Normal distribution was determined according to the Shapiro–Wilk test. The relationship of body composition and WC with RMR IC was analyzed by multiple linear regression analysis. The RMR IC was 1083.6 ± 171.9 kcal/day, which was significantly and positively correlated with FFM, body weight, WC, and FM and inversely correlated with age (<i>p</i> < 0.001). Among the investigated equations, our proposed equation showed the best adequacy and lowest overestimation. The predictive formulae that consider WC improve RMR prediction, thus preventing overestimation in older women. |
| first_indexed | 2024-03-09T12:17:55Z |
| format | Article |
| id | doaj.art-6c3913ba877d4c8a9dd467f3e4fb2002 |
| institution | Directory Open Access Journal |
| issn | 2072-6643 |
| language | English |
| last_indexed | 2024-03-09T12:17:55Z |
| publishDate | 2022-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Nutrients |
| spelling | doaj.art-6c3913ba877d4c8a9dd467f3e4fb20022023-11-30T22:44:36ZengMDPI AGNutrients2072-66432022-08-011415319910.3390/nu14153199Predictive Equation to Estimate Resting Metabolic Rate in Older Chilean WomenEduard Maury-Sintjago0Carmen Muñoz-Mendoza1Alejandra Rodríguez-Fernández2Marcela Ruíz-De la Fuente3Department of Nutrition and Public Health, Universidad del Bío-Bío, Chillan 3780000, ChileDepartment of Nursing, Universidad del Bío-Bío, Chillan 3780000, ChileDepartment of Nutrition and Public Health, Universidad del Bío-Bío, Chillan 3780000, ChileDepartment of Nutrition and Public Health, Universidad del Bío-Bío, Chillan 3780000, ChileResting metabolic rate (RMR) depends on body fat-free mass (FFM) and fat mass (FM), whereas abdominal fat distribution is an aspect that has yet to be adequately studied. The objective of the present study was to analyze the influence of waist circumference (WC) in predicting RMR and propose a specific estimation equation for older Chilean women. This is an analytical cross-sectional study with a sample of 45 women between the ages of 60 and 85 years. Weight, height, body mass index (BMI), and WC were evaluated. RMR was measured by indirect calorimetry (IC) and %FM using the Siri equation. Adequacy (90% to 110%), overestimation (>110%), and underestimation (<90%) of the FAO/WHO/UNU, Harris–Benedict, Mifflin-St Jeor, and Carrasco equations, as well as those of the proposed equation, were evaluated in relation to RMR as measured by IC. Normal distribution was determined according to the Shapiro–Wilk test. The relationship of body composition and WC with RMR IC was analyzed by multiple linear regression analysis. The RMR IC was 1083.6 ± 171.9 kcal/day, which was significantly and positively correlated with FFM, body weight, WC, and FM and inversely correlated with age (<i>p</i> < 0.001). Among the investigated equations, our proposed equation showed the best adequacy and lowest overestimation. The predictive formulae that consider WC improve RMR prediction, thus preventing overestimation in older women.https://www.mdpi.com/2072-6643/14/15/3199resting metabolic rateolder adultwaist circumferenceindirect calorimetrypredictive equations |
| spellingShingle | Eduard Maury-Sintjago Carmen Muñoz-Mendoza Alejandra Rodríguez-Fernández Marcela Ruíz-De la Fuente Predictive Equation to Estimate Resting Metabolic Rate in Older Chilean Women Nutrients resting metabolic rate older adult waist circumference indirect calorimetry predictive equations |
| title | Predictive Equation to Estimate Resting Metabolic Rate in Older Chilean Women |
| title_full | Predictive Equation to Estimate Resting Metabolic Rate in Older Chilean Women |
| title_fullStr | Predictive Equation to Estimate Resting Metabolic Rate in Older Chilean Women |
| title_full_unstemmed | Predictive Equation to Estimate Resting Metabolic Rate in Older Chilean Women |
| title_short | Predictive Equation to Estimate Resting Metabolic Rate in Older Chilean Women |
| title_sort | predictive equation to estimate resting metabolic rate in older chilean women |
| topic | resting metabolic rate older adult waist circumference indirect calorimetry predictive equations |
| url | https://www.mdpi.com/2072-6643/14/15/3199 |
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