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Dabare P, Wickramasinghe P, Waidyatilaka I, Devi S, Kurpad AV, Samaranayake D, de Lanerolle-Dias M, Wickremasinghe R, Hills AP, Lanerolle P. Prediction Equation for Physical Activity Energy Expenditure in 11-13-Year-Old Sri Lankan Children. Nutrients 2023; 15:nu15040906. [PMID: 36839264 PMCID: PMC9965962 DOI: 10.3390/nu15040906] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2022] [Revised: 01/28/2023] [Accepted: 02/07/2023] [Indexed: 02/16/2023] Open
Abstract
This study aimed to develop a regression equation to predict physical activity energy expenditure (PAEE) using accelerometry. Children aged 11-13 years were recruited and randomly assigned to validation (n = 54) and cross-validation (n = 25) groups. The doubly labelled water (DLW) technique was used to assess energy expenditure and accelerometers were worn by participants across the same period. A preliminary equation was developed using stepwise multiple regression analysis with sex, height, weight, body mass index, fat-free mass, fat mass and counts per minute (CPM) as independent variables. Goodness-of-fit statistics were used to select the best prediction variables. The PRESS (predicted residual error sum of squares) statistical method was used to validate the final prediction equation. The preliminary equation was cross-validated on an independent group and no significant (p > 0.05) difference was observed in the PAEE estimated from the two methods. Independent variables of the final prediction equation (PAEE = [0.001CPM] - 0.112) accounted for 70.6% of the variance. The new equation developed to predict PAEE from accelerometry was found to be valid for use in Sri Lankan children.
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Affiliation(s)
- Prasangi Dabare
- Department of Physiotherapy, Faculty of Allied Health Sciences, General Sir John Kotelawala Defence University, Dehiwala-Mount Lavinia 10390, Sri Lanka
| | - Pujitha Wickramasinghe
- Department of Pediatrics, Faculty of Medicine, University of Colombo, Colombo 00800, Sri Lanka
| | - Indu Waidyatilaka
- Department of Biochemistry and Molecular Biology, Faculty of Medicine, University of Colombo, Colombo 00800, Sri Lanka
| | - Sarita Devi
- Division of Nutrition, St. John’s Research Institute, Sarjapur Road, Bengaluru 560034, India
| | - Anura V. Kurpad
- Department of Physiology, St. John’s Medical College, Sarjapur Road, Bengaluru 560034, India
| | - Dulani Samaranayake
- Department of Community Medicine, Faculty of Medicine, University of Colombo, Colombo 00800, Sri Lanka
| | - Maduka de Lanerolle-Dias
- Department of Biochemistry and Molecular Biology, Faculty of Medicine, University of Colombo, Colombo 00800, Sri Lanka
| | - Rajitha Wickremasinghe
- Department of Public Health, Faculty of Medicine, University of Kelaniya, Kelaniya 11010, Sri Lanka
| | - Andrew P. Hills
- School of Health Sciences, College of Health and Medicine, University of Tasmania, Hobart, TAS 7005, Australia
- Correspondence:
| | - Pulani Lanerolle
- Department of Biochemistry and Molecular Biology, Faculty of Medicine, University of Colombo, Colombo 00800, Sri Lanka
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El Kouki D, El Kari K, Ben Jemaa H, Draoui J, Oueslati S, Chichi S, Jamoussi H, Agnuenaou H, Aouidet A, Mankaï A. Relevance of body mass index and bioelectrical impedance analysis vs. deuterium dilution technique to assess excess of fat among young adults. ISOTOPES IN ENVIRONMENTAL AND HEALTH STUDIES 2021; 57:193-203. [PMID: 33372545 DOI: 10.1080/10256016.2020.1860958] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/11/2020] [Accepted: 11/30/2020] [Indexed: 06/12/2023]
Abstract
Our study aimed to assess the nutritional status by using body composition among young Tunisian adults through three measurement methods: body mass index (BMI), bioelectrical impedance analysis (BIA) and deuterium oxide dilution technique (2H2O) and to determine the accuracy of BMI and BIA in order to evaluate the overweight and obesity among young adults in Tunisia. Our study involved 144 young adults. Anthropometric parameters were measured. The fat mass percentage (%FM) was determined by 2H2O and BIA techniques. The analysis of deuterium enrichment was performed using a Fourier transform infrared spectrophotometer (FTIR). According to BMI, 26.4% of subjects were overweight and 5.5% were obese. The mean of %FM estimated by BIA was significantly higher than that determined by 2H2O (29.7 ± 7.7 vs. 26.3 ± 10.6, p < .0001). Consequently, the prevalence of overweight and obesity assessed by BIA was significantly higher than by 2H2O (51.4% vs. 34%, p < .0001). Using BMI, the prevalence of overweight and obesity was similar to that estimated by 2H2O (31.9% vs. 34%, p = 0.544). Compared to 2H2O, BIA overestimates the prevalence of overweight and obesity in young adults. On the other hand, the BMI showed an interesting correlation with the %FM determined by 2H2O.
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Affiliation(s)
- Donia El Kouki
- Nutrition Department, Higher School of Health Sciences and Techniques, University of Tunis El Manar, Tunis, Tunisia
- Research Unit "Obesity: etiopathology and treatment, UR18ES01", National Institute of Nutrition and Food Technology, Tunis, Tunisia
- Faculty of Sciences of Bizerte, Carthage University, Bizerte, Tunisia
| | - Khalid El Kari
- Joint Unit of Research in Nutrition and Food Sciences, Ibn Tofail University-CNESTEN, Rabat, Morocco
| | - Houda Ben Jemaa
- Nutrition Department, Higher School of Health Sciences and Techniques, University of Tunis El Manar, Tunis, Tunisia
- Laboratory SURVEN, National Institute of Nutrition and Food Technology of Tunis, Tunis, Tunisia
| | - Jihéne Draoui
- Nutrition Department, Higher School of Health Sciences and Techniques, University of Tunis El Manar, Tunis, Tunisia
- Research Unit "Obesity: etiopathology and treatment, UR18ES01", National Institute of Nutrition and Food Technology, Tunis, Tunisia
- Faculty of Sciences of Bizerte, Carthage University, Bizerte, Tunisia
| | - Syrine Oueslati
- Nutrition Department, Higher School of Health Sciences and Techniques, University of Tunis El Manar, Tunis, Tunisia
| | - Syrine Chichi
- Nutrition Department, Higher School of Health Sciences and Techniques, University of Tunis El Manar, Tunis, Tunisia
| | - Henda Jamoussi
- Research Unit "Obesity: etiopathology and treatment, UR18ES01", National Institute of Nutrition and Food Technology, Tunis, Tunisia
| | - Hassen Agnuenaou
- Joint Unit of Research in Nutrition and Food Sciences, Ibn Tofail University-CNESTEN, Rabat, Morocco
| | - Abdallah Aouidet
- Nutrition Department, Higher School of Health Sciences and Techniques, University of Tunis El Manar, Tunis, Tunisia
- Laboratory SURVEN, National Institute of Nutrition and Food Technology of Tunis, Tunis, Tunisia
| | - Amani Mankaï
- Nutrition Department, Higher School of Health Sciences and Techniques, University of Tunis El Manar, Tunis, Tunisia
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Rathnayake N, Alwis G, Lenora J, Lekamwasam S. Development and Cross-Validation of Anthropometric Predictive Equations to Estimate Total Body Fat Percentage in Adult Women in Sri Lanka. J Obes 2020; 2020:2087346. [PMID: 32733703 PMCID: PMC7378595 DOI: 10.1155/2020/2087346] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/01/2019] [Revised: 05/21/2020] [Accepted: 06/23/2020] [Indexed: 11/25/2022] Open
Abstract
Attempts have been made to estimate body fat using anthropometry, and most of them are country-specific. This study was designed to develop and cross-validate anthropometric predictive equations to estimate the total body fat percentage (TBFP) of Sri Lankan adult women. A cross-sectional study was conducted in Galle, Sri Lanka, with two groups: Group A (group for equation development) and Group B (cross-validation group) (n = 175 each) of randomly selected healthy adult women aged 30-60 years. TBFP (%) was quantified with total body DXA (TBFPDXA). Height (m), weight (kg), and skinfold thickness (SFT, mm) at six sites and circumferences (cm) at five sites were measured. In the first step, four anthropometric equations were developed based on the data obtained from multiple regression analyses (TBFPDXA = dependent variable and anthropometric measurements and age = independent variables) with Group A. They were developed on the basis of circumferences (TBFP1), SFTs (TBFP2), circumferences and SFTs (TBFP3), and highly significant circumferences and SFTs (r ≥ 0.6) (TBFP4). In the second step, the newly developed equations were cross-validated using Group B. Three equations (TBFP1, TBFP2, and TBFP4) showed the agreement with cross-validation criteria. There were no differences between TBFPDXA and TBFP estimated by these equations (p > 0.05). They showed higher measurement concordance with TBFPDXA; correlation between measured TBFP with DXA and estimated with TBFP1, TBFP2, and TBFP4, respectively, was 0.80 (R 2 = 0.65, SEE = 3.10), 0.83 (R 2 = 0.69, SEE = 2.93), and 0.84 (R 2 = 0.72, SEE = 2.78). Three anthropometric measurements based on predictive equations were developed and cross-validated to satisfactorily estimate the TBFP in adult women.
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Affiliation(s)
- Nirmala Rathnayake
- Department of Nursing, Faculty of Allied Health Sciences, University of Ruhuna, Galle, Sri Lanka
| | - Gayani Alwis
- Department of Anatomy, Faculty of Medicine, University of Ruhuna, Galle, Sri Lanka
| | - Janaka Lenora
- Department of Physiology, Faculty of Medicine, University of Ruhuna, Galle, Sri Lanka
| | - Sarath Lekamwasam
- Population Health Research Center, Department of Medicine, Faculty of Medicine, University of Ruhuna, Galle, Sri Lanka
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Jayawardena R, Waniganayake YC, Abhayaratna SA, Ranasinghe P. Prediction of body fat in Sri Lankan adults: Development and validation of a skinfold thickness equation. Diabetes Metab Syndr 2020; 14:147-150. [PMID: 32087566 DOI: 10.1016/j.dsx.2020.02.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/29/2020] [Revised: 02/03/2020] [Accepted: 02/03/2020] [Indexed: 11/27/2022]
Abstract
OBJECTIVE The study aimed to develop and validate a percentage body fat (%BF) prediction equation using SFT for Sri Lankan adults. METHODS Healthy adults (≥18 years) were randomly selected and SFT was measured in five areas (triceps, biceps, calf, suprailliac and subscapular). Body composition analysis was evaluated by Deuterium oxide (D2O) dilution. Prediction equation for %BF was derived by linear-regression-analysis. RESULTS Study population included 170 adults (Males: 32.9%; age: 43.2 ± 12.6 years). Final equation for %BF (r = 0.715, p < 0.001) correlated significantly D2O dilution derived %BF. CONCLUSIONS The equation is suitable for estimation of %BF in Sri Lankan adults and is possibly appropriate for other South-Asian populations.
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Affiliation(s)
- Ranil Jayawardena
- Department of Physiology, Faculty of Medicine, University of Colombo, Colombo, Sri Lanka; Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, Queensland, Australia.
| | | | - Sachith A Abhayaratna
- Department of Pharmacology, Faculty of Medicine, University of Colombo, Colombo, Sri Lanka
| | - Priyanga Ranasinghe
- Department of Pharmacology, Faculty of Medicine, University of Colombo, Colombo, Sri Lanka
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Aristizabal JC, Estrada-Restrepo A, Giraldo García A. Development and validation of anthropometric equations to estimate body composition in adult women. COLOMBIA MEDICA (CALI, COLOMBIA) 2018; 49:154-159. [PMID: 30104807 PMCID: PMC6084924 DOI: 10.25100/cm.v49i2.3643] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
Objective To develop anthropometric equations to predict body fat percentage (BF%). Methods In 151 women (aged 18-59) body weight, height, eight- skinfold thickness (STs), six- circumferences (CIs), and BF% by hydrodensitometry were measured. Subjects data were randomly divided in two groups, equation-building group (n= 106) and validation group (n= 45). The equation-building group was used to run linear regression models using anthropometric measurements as predictors to find the best prediction equations of the BF%. The validation group was used to compare the performance of the new equations with those of Durnin-Womersley, Jackson-Pollock and Ramirez-Torun. Results There were two preferred equations: Equation 1= 11.76 + (0.324 x tricipital ST) + (0.133 x calf ST) + (0.347 x abdomen CI) + (0.068 x age) - (0.135 x height) and Equation 2= 11.37 + (0.404 x tricipital ST) + (0.153 x axilar ST) + (0.264 x abdomen CI) + (0.069 x age) - (0.099 x height). There were no significant differences in BF% obtained by hydrodensitometry (31.5 ±5.3) and Equation 1 (31.0 ±4.0) and Equation 2 (31.2 ±4.0). The BF% estimated by Durning-Womersley (35.8 ±4.0), Jackson-Pollock (26.5 ±5.4) and Ramirez-Torun (32.6 ±4.8) differed from hydrodensitometry (p <0.05). The interclass correlation coefficient (ICC) was high between hydrodensitometry and Equation 1 (ICC= 0.77), Equation 2 (ICC= 0.76), and Ramirez-Torun equation (ICC= 0.75). The ICC was low between hydrodensitometry and Durnin-Womersley (ICC= 0.51) and Jackson-Pollock (ICC= 0.53) equations. Conclusion The new Equations-1 and 2, performed better than the commonly used anthropometric equations to predict BF% in adult women.
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Affiliation(s)
- Juan C Aristizabal
- Physiology and Biochemistry Research Group-PHYSIS, Universidad de Antioquia, Medellin, Colombia.,School of Nutrition and Dietetics, Universidad de Antioquia, Medellin, Colombia
| | - Alejandro Estrada-Restrepo
- School of Nutrition and Dietetics, Universidad de Antioquia, Medellin, Colombia.,Demography and Health Research Group, Universidad de Antioquia, Medellin, Colombia
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