What is the best predictor of body fat percentage for older brazilian women?
This study aimed to investigate the validity of several equations and predictive indices for estimating body fat percentage (%BF) in 152 older women, with an average age of 67.4 years and an average body mass index (BMI) of 28.65 kg/m². To this end, anthropometric measurements including height, bod...
Saved in:
| Main Authors: | , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
FEADEF
2024-10-01
|
| Series: | Retos: Nuevas Tendencias en Educación Física, Deportes y Recreación |
| Subjects: | |
| Online Access: | https://recyt.fecyt.es/index.php/retos/article/view/104031 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1846108990433394688 |
|---|---|
| author | Vinícus De Oliveira Damasceno Jeferson Macedo Vianna Alexander Barreiros Cardoso Bomfim Danilo Edson de Souza Jakson Felix da Silva Rubens Vinícius Letieri André Dos Santos Costa Jorge Perrout de Lima |
| author_facet | Vinícus De Oliveira Damasceno Jeferson Macedo Vianna Alexander Barreiros Cardoso Bomfim Danilo Edson de Souza Jakson Felix da Silva Rubens Vinícius Letieri André Dos Santos Costa Jorge Perrout de Lima |
| author_sort | Vinícus De Oliveira Damasceno |
| collection | DOAJ |
| description |
This study aimed to investigate the validity of several equations and predictive indices for estimating body fat percentage (%BF) in 152 older women, with an average age of 67.4 years and an average body mass index (BMI) of 28.65 kg/m². To this end, anthropometric measurements including height, body weight, circumferences (waist and hip), and a dual energy X-ray absorptiometry (DXA) scan were performed. All measurements were performed by trained researchers following specific protocols. The results were compared to the dual energy X-ray absorptiometry (DXA) technique, which is considered the reference method. The analyzed equations showed moderate to good correlation coefficients with DXA, with particular emphasis on Visser’s equation 6, which showed the best correlation (r = 0.752, p < 0.001). However, the agreement between the equations and DXA, as assessed by the Lin concordance coefficient, was classified as poor (ρc < 0.90). This indicates that although the equations have a positive correlation with body composition, they tend to deviate from the identity line when compared to the reference method. Additionally, the equations showed high sensitivity for detecting obesity when the cut-off point of 30% body fat was adopted, indicating a good ability to identify the presence of the condition. However, the equations, with the exception of equation 4, showed low specificity, meaning they had limited ability to detect normal individuals, resulting in a low negative predictive value. The results suggest that BF% equations and indices are dependent on the populations in which they were developed. The specificity and sensitivity of these equations may vary, and it is important to carefully select the most appropriate equation for estimating BF% in older Brazilian women.
Keywords: Anthropometry; body composition; older adults.
|
| format | Article |
| id | doaj-art-2bb4ce0a227b4577bcd1522bace7fd03 |
| institution | Kabale University |
| issn | 1579-1726 1988-2041 |
| language | English |
| publishDate | 2024-10-01 |
| publisher | FEADEF |
| record_format | Article |
| series | Retos: Nuevas Tendencias en Educación Física, Deportes y Recreación |
| spelling | doaj-art-2bb4ce0a227b4577bcd1522bace7fd032024-12-25T17:15:02ZengFEADEFRetos: Nuevas Tendencias en Educación Física, Deportes y Recreación1579-17261988-20412024-10-015910.47197/retos.v59.104031What is the best predictor of body fat percentage for older brazilian women?Vinícus De Oliveira Damasceno0Jeferson Macedo Vianna1Alexander Barreiros Cardoso Bomfim2Danilo Edson de Souza3Jakson Felix da Silva4Rubens Vinícius Letieri5André Dos Santos Costa6Jorge Perrout de Lima7Program in Operational Human Performance, Air Force University, Rio de JaneiroPhysical Education Department, Federal University of Juiz de Fora, Juiz de ForaProgram in Operational Human Performance, Air Force University, Rio de JaneiroProgram in Physical Exercise, Federal University of PernambucoFederal University of PernambucoMultidisciplinary Research Nucleus in Physical Education (NIMEF), Federal University of North of Tocantins Program in Physical Exercise, Federal University of PernambucoPhysical Education Department, Federal University of Juiz de Fora This study aimed to investigate the validity of several equations and predictive indices for estimating body fat percentage (%BF) in 152 older women, with an average age of 67.4 years and an average body mass index (BMI) of 28.65 kg/m². To this end, anthropometric measurements including height, body weight, circumferences (waist and hip), and a dual energy X-ray absorptiometry (DXA) scan were performed. All measurements were performed by trained researchers following specific protocols. The results were compared to the dual energy X-ray absorptiometry (DXA) technique, which is considered the reference method. The analyzed equations showed moderate to good correlation coefficients with DXA, with particular emphasis on Visser’s equation 6, which showed the best correlation (r = 0.752, p < 0.001). However, the agreement between the equations and DXA, as assessed by the Lin concordance coefficient, was classified as poor (ρc < 0.90). This indicates that although the equations have a positive correlation with body composition, they tend to deviate from the identity line when compared to the reference method. Additionally, the equations showed high sensitivity for detecting obesity when the cut-off point of 30% body fat was adopted, indicating a good ability to identify the presence of the condition. However, the equations, with the exception of equation 4, showed low specificity, meaning they had limited ability to detect normal individuals, resulting in a low negative predictive value. The results suggest that BF% equations and indices are dependent on the populations in which they were developed. The specificity and sensitivity of these equations may vary, and it is important to carefully select the most appropriate equation for estimating BF% in older Brazilian women. Keywords: Anthropometry; body composition; older adults. https://recyt.fecyt.es/index.php/retos/article/view/104031Anthropometry; body composition; older adults. |
| spellingShingle | Vinícus De Oliveira Damasceno Jeferson Macedo Vianna Alexander Barreiros Cardoso Bomfim Danilo Edson de Souza Jakson Felix da Silva Rubens Vinícius Letieri André Dos Santos Costa Jorge Perrout de Lima What is the best predictor of body fat percentage for older brazilian women? Retos: Nuevas Tendencias en Educación Física, Deportes y Recreación Anthropometry; body composition; older adults. |
| title | What is the best predictor of body fat percentage for older brazilian women? |
| title_full | What is the best predictor of body fat percentage for older brazilian women? |
| title_fullStr | What is the best predictor of body fat percentage for older brazilian women? |
| title_full_unstemmed | What is the best predictor of body fat percentage for older brazilian women? |
| title_short | What is the best predictor of body fat percentage for older brazilian women? |
| title_sort | what is the best predictor of body fat percentage for older brazilian women |
| topic | Anthropometry; body composition; older adults. |
| url | https://recyt.fecyt.es/index.php/retos/article/view/104031 |
| work_keys_str_mv | AT vinicusdeoliveiradamasceno whatisthebestpredictorofbodyfatpercentageforolderbrazilianwomen AT jefersonmacedovianna whatisthebestpredictorofbodyfatpercentageforolderbrazilianwomen AT alexanderbarreiroscardosobomfim whatisthebestpredictorofbodyfatpercentageforolderbrazilianwomen AT daniloedsondesouza whatisthebestpredictorofbodyfatpercentageforolderbrazilianwomen AT jaksonfelixdasilva whatisthebestpredictorofbodyfatpercentageforolderbrazilianwomen AT rubensviniciusletieri whatisthebestpredictorofbodyfatpercentageforolderbrazilianwomen AT andredossantoscosta whatisthebestpredictorofbodyfatpercentageforolderbrazilianwomen AT jorgeperroutdelima whatisthebestpredictorofbodyfatpercentageforolderbrazilianwomen |