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4. Joint position statement on management of patient with osteoporosis during COVID-19 contingency from the AMMOM, CONAMEGER, FELAEN, FEMECOG, FEMECOT, and ICAAFYD

Author

Torres-Naranjo, Francisco, De la Peña-Rodríguez, Pilar, López-Cervantes, Roberto Enrique, Morales-Torres, Jorge, Morales-Vargas, Jorge, Gutiérrez-Hermosillo, Hugo, Guzmán-Rico, Alan Christopher, González-Mendoza, Roberto Gabriel, Rueda Plata, Pedro Nel, Flores Castro, Miguel, Celis Gonzalez, Cuauhtémoc, Espinosa Morales, Rolando, Quintero Hernández, Sergio, and López-Taylor, Juan Ricardo

Published
2021
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5. Global Matrix 4.0 Physical Activity Report Card Grades for Children and Adolescents: Results and Analyses From 57 Countries

Author

Aubert, Salomé, primary, Barnes, Joel D., additional, Demchenko, Iryna, additional, Hawthorne, Myranda, additional, Abdeta, Chalchisa, additional, Abi Nader, Patrick, additional, Adsuar Sala, José Carmelo, additional, Aguilar-Farias, Nicolas, additional, Aznar, Susana, additional, Bakalár, Peter, additional, Bhawra, Jasmin, additional, Brazo-Sayavera, Javier, additional, Bringas, Mikel, additional, Cagas, Jonathan Y., additional, Carlin, Angela, additional, Chang, Chen-Kang, additional, Chen, Bozhi, additional, Christiansen, Lars Breum, additional, Christie, Candice Jo-Anne, additional, De Roia, Gabriela Fernanda, additional, Delisle Nyström, Christine, additional, Demetriou, Yolanda, additional, Djordjic, Visnja, additional, Emeljanovas, Arunas, additional, Findling Endy, Liri, additional, Gába, Aleš, additional, Galaviz, Karla I., additional, González, Silvia A., additional, Hesketh, Kylie D., additional, Huang, Wendy Yajun, additional, Hubona, Omphile, additional, Jeon, Justin Y., additional, Jurakić, Danijel, additional, Jürimäe, Jaak, additional, Katapally, Tarun Reddy, additional, Katewongsa, Piyawat, additional, Katzmarzyk, Peter T., additional, Kim, Yeon-Soo, additional, Lambert, Estelle Victoria, additional, Lee, Eun-Young, additional, Levi, Sharon, additional, Lobo, Pablo, additional, Löf, Marie, additional, Loney, Tom, additional, López-Gil, José Francisco, additional, López-Taylor, Juan, additional, Mäestu, Evelin, additional, Mahendra, Agus, additional, Makaza, Daga, additional, Mallari, Marla Frances T., additional, Manyanga, Taru, additional, Masanovic, Bojan, additional, Morrison, Shawnda A., additional, Mota, Jorge, additional, Müller-Riemenschneider, Falk, additional, Muñoz Bermejo, Laura, additional, Murphy, Marie H., additional, Naidoo, Rowena, additional, Nguyen, Phuong, additional, Paudel, Susan, additional, Pedišić, Željko, additional, Pérez-Gómez, Jorge, additional, Reilly, John J., additional, Reimers, Anne Kerstin, additional, Richards, Amie B., additional, Santos Silva, Diego Augusto, additional, Saonuam, Pairoj, additional, Sarmiento, Olga L., additional, Sember, Vedrana, additional, Shahril, Mohd Razif, additional, Smith, Melody, additional, Standage, Martyn, additional, Stratton, Gareth, additional, Subedi, Narayan, additional, Tammelin, Tuija H., additional, Tanaka, Chiaki, additional, Tesler, Riki, additional, Thivel, David, additional, Tladi, Dawn Mahube, additional, Tlučáková, Lenka, additional, Vanderloo, Leigh M., additional, Williams, Alun, additional, Wong, Stephen Heung Sang, additional, Wu, Ching-Lin, additional, Zembura, Paweł, additional, and Tremblay, Mark S., additional

Published
2022
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6. Boletin sobre actividad fisica en la poblacion infantil y joven en Mexico, 2018: informe completo

Author

Argumedo, Gabriela, López Taylor, Juan Ricardo, Gaytán-González, Alejandro, González-Casanova, Inés, González Villalobos, Martín Francisco, Jáuregui, Alejandra, Jáuregui Ulloa, Edtna, Medina, Catalina, Pacheco Miranda, Yoali Selene, Pérez Rodríguez, Marcela, Resendiz, Eugen, Retano Pelayo, Ricardo Alejandro, del Pilar Rodríguez Martínez, María, and Galaviz, Karla I.

Published
2020
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7. Report Card Grades on the Physical Activity of Children and Youth From 10 Countries With High Human Development Index: Global Matrix 3.0.

Author

González, Silvia A., Barnes, Joel D., Abi Nader, Patrick, Susana Andrade Tenesaca, Dolores, Brazo-Sayavera, Javier, Galaviz, Karla I., Herrera-Cuenca, Marianella, Katewongsa, Piyawat, López-Taylor, Juan, Liu, Yang, Mileva, Bilyana, María Ochoa Avilés, Angélica, Silva, Diego Augusto Santos, Saonuam, Pairoj, and Tremblay, Mark S.

Subjects
REPORT cards, STUDENT records, GRADE levels, BENCHMARKING (Management), PHYSICAL activity
Abstract

Background: The Global Matrix 3.0 brings together the Report Card grades for 10 physical activity indicators for children and youth from 49 countries. This study describes and compares the Global Matrix 3.0 findings among 10 countries with high Human Development Index. Methods: Report Cards on physical activity indicators were developed by each country following a harmonized process. Countries informed their Report Cards with the best and most recent evidence available. Indicators were graded using a common grading rubric and benchmarks established by the Active Healthy Kids Global Alliance. A database of grades from the countries was compiled, and letter grades were converted to numerical equivalents. Descriptive statistics and scores for groups of indicators were calculated, and correlation analyses were conducted. Results: Grades for the 10 countries clustered around "D" ranging from "F" to "B+." Active Transportation had the highest average grade ("C"), whereas Overall Physical Activity had the lowest average grade ("D-"). Low grades were observed for both behavioral and sources of influence indicators. Conclusions: In the context of social and economical changes of high- Human Development Index countries, urgent actions to increase physical activity among children and youth are required. Surveillance and monitoring efforts are required to fill research gaps. [ABSTRACT FROM AUTHOR]

Published
2018
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14. The Consumption of Two or Three Meals per Day with Adequate Protein Content Is Associated with Lower Risk of Physical Disability in Mexican Adults Aged 60 Years and Older

Author

Gaytán-González, Alejandro, primary, Ocampo-Alfaro, María de Jesús, additional, Torres-Naranjo, Francisco, additional, Arroniz-Rivera, Maritza, additional, González-Mendoza, Roberto Gabriel, additional, Gil-Barreiro, Martha, additional, and López-Taylor, Juan Ricardo, additional

Published
2020
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16. Accuracy of Anthropometric Equations to Estimate DXA-Derived Skeletal Muscle Mass in Professional Male Soccer Players

Author

González-Mendoza, Roberto Gabriel, Gaytán-González, Alejandro, Jiménez-Alvarado, Juan Antonio, Villegas-Balcázar, Marisol, Jáuregui-Ulloa, Edtna E., Torres-Naranjo, Francisco, and López-Taylor, Juan R.

Subjects
Article Subject, Post hoc, Limits of agreement, 030229 sport sciences, Anthropometry, Skeletal muscle mass, Body weight, Mean difference, 03 medical and health sciences, 0302 clinical medicine, Statistics, 030212 general & internal medicine, lcsh:Sports medicine, lcsh:RC1200-1245, Research Article, Mathematics
Abstract

Background. Several anthropometric equations that estimate skeletal muscle mass (SMM) have been published, but their applicability and accuracy among athletes are still uncertain. Purpose. To assess the accuracy of different anthropometric equations that estimate SMM in professional male soccer players, as compared to dual-energy X-ray absorptiometry (DXA) as the reference method. Methods. In this cross-sectional study, we evaluated 179 professional male soccer players aged between 18 and 37 years. Anthropometric measurements (height, body weight, skinfold thicknesses, and girths) and a DXA whole body scan were performed the same day for each participant, and SMM was estimated with nine anthropometric equations (Heymsfield, Martin, Doupe, Kerr, Drinkwater, Lee, De Rose, and two equations published by Kuriyan). To determine differences between SMM estimated with anthropometric equations and SMM evaluated with DXA, a Kruskal-Wallis test was performed using Dunn’s test as post hoc. The significance level was set at p < 0.05. We calculated the mean difference and 95% limits of agreement for the analyzed equations (Equation – DXA). Results. Only Heymsfield’s and Lee’s equations showed no significant differences with DXA. Heymsfield’s equation had the smallest mean difference (-0.17 kg), but wider limits of agreement with DXA (-6.61 to 6.94 kg). Lee’s equation had a small mean difference (1.10 kg) but narrower limits of agreement with DXA (-1.83 to 4.03 kg). Conclusions. In this study, the prediction equation published by Lee et al. showed the best agreement with DXA and is able to estimate SMM accurately in professional male soccer players.

Published
2019

17. A Multisite Study of Environmental Correlates of Active Commuting to School in Mexican Children.

Author

Jauregui, Alejandra, Soltero, Erica, Santos-Luna, René, Hernández-Barrera, Lucia, Barquera, Simon, Jáuregui, Edtna, Lévesque, Lucie, López-Taylor, Juan, Ortiz-Hernández, Luis, and Lee, Rebecca

Subjects
CHILDREN, COMMUTING, HIGH-income countries, PUBLIC schools, LOGISTIC model (Demography), ODDS ratio
Abstract

Background: Mexican children often use active commuting to school (ACS). In order to maintain high levels of ACS it is important to understand correlates of ACS in this population. However, most evidence comes from high-income countries (HICs). We examined multilevel correlates of ACS in children attending public schools in 3 Mexican cities. Methods-. Information on 1191 children (grades 3 to 5) attending 26 schools was retrieved from questionnaires, neighborhood audits, and geographic information systems data. Multilevel logistic modeling was used to explore individual and environmental correlates of ACS at 400-m and 800-m buffers surrounding schools. Results: Individual positive correlates for ACS included age (6-8 years vs 9-11 years, odds ratio [OR] = 1.5; 6-8 years vs >12 years: OR = 2.1) and > 6 adults at home (OR = 2.0). At the 400-m buffer, more ACS was associated with lower walkability (OR = 0.87), presence of posted speed limits (< 6% vs > 12%: OR = 0.36) and crossing aids (< 6% vs 6-20%: OR = 0.25; > 20%: OR = 0.26), as well as higher sidewalk availability (< 70% vs > 90%: OR = 4.5). Similar relationships with speed limits and crossing aids were observed at the 800m buffer. Conclusions: Findings contrast with those reported in HICs, underscoring the importance of considering the local context when developing strategies to promote ACS. Future studies are needed to replicate these relationships and investigate the longitudinal impact of improving active transportation infrastructure and policies. [ABSTRACT FROM AUTHOR]

Published
2016
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19. Global Matrix 3.0 Physical Activity Report Card Grades for Children and Youth : Results and Analysis From 49 Countries

Author

Aubert, Salomé, Barnes, Joel D, Abdeta, Chalchisa, Abi Nader, Patrick, Adeniyi, Ade F, Aguilar-Farias, Nicolas, Andrade Tenesaca, Dolores S, Bhawra, Jasmin, Brazo-Sayavera, Javier, Cardon, Greet, Chang, Chen-Kang, Delisle Nyström, Christine, Demetriou, Yolanda, Draper, Catherine E, Edwards, Lowri, Emeljanovas, Arunas, Gába, Aleš, Galaviz, Karla I, González, Silvia A, Herrera-Cuenca, Marianella, Huang, Wendy Y, Ibrahim, Izzeldin A E, Jürimäe, Jaak, Kämppi, Katariina, Katapally, Tarun R, Katewongsa, Piyawat, Katzmarzyk, Peter T, Khan, Asaduzzaman, Korcz, Agata, Kim, Yeon Soo, Lambert, Estelle, Lee, Eun-Young, Löf, Marie, Loney, Tom, López-Taylor, Juan, Liu, Yang, Makaza, Daga, Manyanga, Taru, Mileva, Bilyana, Morrison, Shawnda A, Mota, Jorge, Nyawornota, Vida K, Ocansey, Reginald, Reilly, John J, Roman-Viñas, Blanca, Silva, Diego Augusto Santos, Saonuam, Pairoj, Scriven, John, Seghers, Jan, Schranz, Natasha, Skovgaard, Thomas, Smith, Melody, Standage, Martyn, Starc, Gregor, Stratton, Gareth, Subedi, Narayan, Takken, Tim, Tammelin, Tuija, Tanaka, Chiaki, Thivel, David, Tladi, Dawn, Tyler, Richard, Uddin, Riaz, Williams, Alun, Wong, Stephen H S, Wu, Ching-Lin, Zembura, Paweł, Tremblay, Mark S, Aubert, Salomé, Barnes, Joel D, Abdeta, Chalchisa, Abi Nader, Patrick, Adeniyi, Ade F, Aguilar-Farias, Nicolas, Andrade Tenesaca, Dolores S, Bhawra, Jasmin, Brazo-Sayavera, Javier, Cardon, Greet, Chang, Chen-Kang, Delisle Nyström, Christine, Demetriou, Yolanda, Draper, Catherine E, Edwards, Lowri, Emeljanovas, Arunas, Gába, Aleš, Galaviz, Karla I, González, Silvia A, Herrera-Cuenca, Marianella, Huang, Wendy Y, Ibrahim, Izzeldin A E, Jürimäe, Jaak, Kämppi, Katariina, Katapally, Tarun R, Katewongsa, Piyawat, Katzmarzyk, Peter T, Khan, Asaduzzaman, Korcz, Agata, Kim, Yeon Soo, Lambert, Estelle, Lee, Eun-Young, Löf, Marie, Loney, Tom, López-Taylor, Juan, Liu, Yang, Makaza, Daga, Manyanga, Taru, Mileva, Bilyana, Morrison, Shawnda A, Mota, Jorge, Nyawornota, Vida K, Ocansey, Reginald, Reilly, John J, Roman-Viñas, Blanca, Silva, Diego Augusto Santos, Saonuam, Pairoj, Scriven, John, Seghers, Jan, Schranz, Natasha, Skovgaard, Thomas, Smith, Melody, Standage, Martyn, Starc, Gregor, Stratton, Gareth, Subedi, Narayan, Takken, Tim, Tammelin, Tuija, Tanaka, Chiaki, Thivel, David, Tladi, Dawn, Tyler, Richard, Uddin, Riaz, Williams, Alun, Wong, Stephen H S, Wu, Ching-Lin, Zembura, Paweł, and Tremblay, Mark S

Published
2018

20. Global Matrix 3.0 Physical Activity Report Card Grades for Children and Youth: Results and Analysis From 49 Countries

Author

Activity&Health sectie exercise, Child Health, Aubert, Salomé, Barnes, Joel D, Abdeta, Chalchisa, Abi Nader, Patrick, Adeniyi, Ade F, Aguilar-Farias, Nicolas, Andrade Tenesaca, Dolores S, Bhawra, Jasmin, Brazo-Sayavera, Javier, Cardon, Greet, Chang, Chen-Kang, Delisle Nyström, Christine, Demetriou, Yolanda, Draper, Catherine E, Edwards, Lowri, Emeljanovas, Arunas, Gába, Aleš, Galaviz, Karla I, González, Silvia A, Herrera-Cuenca, Marianella, Huang, Wendy Y, Ibrahim, Izzeldin A E, Jürimäe, Jaak, Kämppi, Katariina, Katapally, Tarun R, Katewongsa, Piyawat, Katzmarzyk, Peter T, Khan, Asaduzzaman, Korcz, Agata, Kim, Yeon Soo, Lambert, Estelle, Lee, Eun-Young, Löf, Marie, Loney, Tom, López-Taylor, Juan, Liu, Yang, Makaza, Daga, Manyanga, Taru, Mileva, Bilyana, Morrison, Shawnda A, Mota, Jorge, Nyawornota, Vida K, Ocansey, Reginald, Reilly, John J, Roman-Viñas, Blanca, Silva, Diego Augusto Santos, Saonuam, Pairoj, Scriven, John, Seghers, Jan, Schranz, Natasha, Skovgaard, Thomas, Smith, Melody, Standage, Martyn, Starc, Gregor, Stratton, Gareth, Subedi, Narayan, Takken, Tim, Tammelin, Tuija, Tanaka, Chiaki, Thivel, David, Tladi, Dawn, Tyler, Richard, Uddin, Riaz, Williams, Alun, Wong, Stephen H S, Wu, Ching-Lin, Zembura, Paweł, Tremblay, Mark S, Activity&Health sectie exercise, Child Health, Aubert, Salomé, Barnes, Joel D, Abdeta, Chalchisa, Abi Nader, Patrick, Adeniyi, Ade F, Aguilar-Farias, Nicolas, Andrade Tenesaca, Dolores S, Bhawra, Jasmin, Brazo-Sayavera, Javier, Cardon, Greet, Chang, Chen-Kang, Delisle Nyström, Christine, Demetriou, Yolanda, Draper, Catherine E, Edwards, Lowri, Emeljanovas, Arunas, Gába, Aleš, Galaviz, Karla I, González, Silvia A, Herrera-Cuenca, Marianella, Huang, Wendy Y, Ibrahim, Izzeldin A E, Jürimäe, Jaak, Kämppi, Katariina, Katapally, Tarun R, Katewongsa, Piyawat, Katzmarzyk, Peter T, Khan, Asaduzzaman, Korcz, Agata, Kim, Yeon Soo, Lambert, Estelle, Lee, Eun-Young, Löf, Marie, Loney, Tom, López-Taylor, Juan, Liu, Yang, Makaza, Daga, Manyanga, Taru, Mileva, Bilyana, Morrison, Shawnda A, Mota, Jorge, Nyawornota, Vida K, Ocansey, Reginald, Reilly, John J, Roman-Viñas, Blanca, Silva, Diego Augusto Santos, Saonuam, Pairoj, Scriven, John, Seghers, Jan, Schranz, Natasha, Skovgaard, Thomas, Smith, Melody, Standage, Martyn, Starc, Gregor, Stratton, Gareth, Subedi, Narayan, Takken, Tim, Tammelin, Tuija, Tanaka, Chiaki, Thivel, David, Tladi, Dawn, Tyler, Richard, Uddin, Riaz, Williams, Alun, Wong, Stephen H S, Wu, Ching-Lin, Zembura, Paweł, and Tremblay, Mark S

Published
2018

21. Mexico's 2018 Report Card on Physical Activity for Children and Youth: Full report.

Author

Argumedo, Gabriela, López Taylor, Juan Ricardo, Gaytán-González, Alejandro, González-Casanova, Inés, González Villalobos, Martín Francisco, Jáuregui, Alejandra, Jáuregui Ulloa, Edtna, Medina, Catalina, Pacheco Miranda, Yoali Selene, Pérez Rodríguez, Marcela, Resendiz, Eugen, Retano Pelayo, Ricardo Alejandro, Rodríguez Martínez, María del Pilar, and Galaviz, Karla I.

Subjects
*PHYSICAL activity, *REPORT cards, *SEDENTARY behavior, *PHYSICAL fitness, *HEALTH behavior
Abstract

Objectives. Mexico's 2018 Report Card evaluates the opportunities available for Mexican children and youth to reach healthy levels of physical activity, sleep, and sedentary behavior. Methods. The Report Card is a surveillance system that gathers data from national surveys, censuses, government documents, websites, grey literature, and published studies to evaluate 16 indicators in four categories: Daily Behaviors; Physical Fitness; Settings and Sources of Influence; and Strategies and Investments. Data were compared to established benchmarks. Each indicator was assigned a grade from 1 - 10 (< 6 is a failing grade) or "incomplete" if data was insufficient/unavailable. Results. Daily Behavior grades were: Overall Physical Activity, 4; Organized Sport Participation, 5; Active Play, 3; Active Transportation, 5; Sleep, 7; and Sedentary Behavior, 3. Physical Fitness, received a 7. Settings and Sources of Influence grades were: Family and Peers, incomplete; School, 3; and Community and Environment, 4. Strategies and Investments were: Government Strategies, 6; and Non-Government Organizations, 2. Conclusion. Low grades in 11 of the 16 indicators indicate that schools, families, communities, and government need to work together to improve physical activity opportunities for children and youth in Mexico. [ABSTRACT FROM AUTHOR]

Published
2020
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22. Global Matrix 3.0 Physical Activity Report Card Grades for Children and Youth: Results and Analysis From 49 Countries

Author

Aubert, Salomé, primary, Barnes, Joel D., additional, Abdeta, Chalchisa, additional, Abi Nader, Patrick, additional, Adeniyi, Ade F., additional, Aguilar-Farias, Nicolas, additional, Andrade Tenesaca, Dolores S., additional, Bhawra, Jasmin, additional, Brazo-Sayavera, Javier, additional, Cardon, Greet, additional, Chang, Chen-Kang, additional, Delisle Nyström, Christine, additional, Demetriou, Yolanda, additional, Draper, Catherine E., additional, Edwards, Lowri, additional, Emeljanovas, Arunas, additional, Gába, Aleš, additional, Galaviz, Karla I., additional, González, Silvia A., additional, Herrera-Cuenca, Marianella, additional, Huang, Wendy Y., additional, Ibrahim, Izzeldin A.E., additional, Jürimäe, Jaak, additional, Kämppi, Katariina, additional, Katapally, Tarun R., additional, Katewongsa, Piyawat, additional, Katzmarzyk, Peter T., additional, Khan, Asaduzzaman, additional, Korcz, Agata, additional, Kim, Yeon Soo, additional, Lambert, Estelle, additional, Lee, Eun-Young, additional, Löf, Marie, additional, Loney, Tom, additional, López-Taylor, Juan, additional, Liu, Yang, additional, Makaza, Daga, additional, Manyanga, Taru, additional, Mileva, Bilyana, additional, Morrison, Shawnda A., additional, Mota, Jorge, additional, Nyawornota, Vida K., additional, Ocansey, Reginald, additional, Reilly, John J., additional, Roman-Viñas, Blanca, additional, Silva, Diego Augusto Santos, additional, Saonuam, Pairoj, additional, Scriven, John, additional, Seghers, Jan, additional, Schranz, Natasha, additional, Skovgaard, Thomas, additional, Smith, Melody, additional, Standage, Martyn, additional, Starc, Gregor, additional, Stratton, Gareth, additional, Subedi, Narayan, additional, Takken, Tim, additional, Tammelin, Tuija, additional, Tanaka, Chiaki, additional, Thivel, David, additional, Tladi, Dawn, additional, Tyler, Richard, additional, Uddin, Riaz, additional, Williams, Alun, additional, Wong, Stephen H.S., additional, Wu, Ching-Lin, additional, Zembura, Paweł, additional, and Tremblay, Mark S., additional

Published
2018
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24. Results From Mexico’s 2016 Report Card on Physical Activity for Children and Youth

Author

Galaviz, Karla I., primary, Arroyo, Mabel Aguilar, additional, González-Casanova, Inés, additional, Villalobos, Martín Francisco González, additional, Jáuregui, Alejandra, additional, Ulloa, Edtna Jáuregui, additional, Miranda, Selene Pacheco, additional, Rodríguez, Marcela Pérez, additional, Pelayo, Ricardo Alejandro Retano, additional, and López-Taylor, Juan Ricardo, additional

Published
2016
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25. Aquaporin-1 Gene DNA variation predicts performance in hispanic marathon runners

Author

Martínez, Juan L., Carrión, Aleshka., Florián, María E., Martín Urrialde, José Antonio., López Taylor, Juan R., Fahey, Thomas D., Rivera, Miguel A., chromosome 7, athletes, aerobic capacity, running, and endurance

Subjects
Genetics
Abstract

En: Medicina Sportiva. ISSN. 1841-0162 n. 4 (2009), p. 251-255

Published
2009

29. Accuracy of Anthropometric Equations to Estimate DXA-Derived Skeletal Muscle Mass in Professional Male Soccer Players

Author

Gabriel González-Mendoza, Roberto, Gaytán-González, Alejandro, Antonio Jiménez-Alvarado, Juan, Villegas-Balcázar, Marisol, E. Jáuregui-Ulloa, Edtna, Torres-Naranjo, Francisco, and R. López-Taylor, Juan

Abstract

Background. Several anthropometric equations that estimate skeletal muscle mass (SMM) have been published, but their applicability and accuracy among athletes are still uncertain. Purpose. To assess the accuracy of different anthropometric equations that estimate SMM in professional male soccer players, as compared to dual-energy X-ray absorptiometry (DXA) as the reference method. Methods. In this cross-sectional study, we evaluated 179 professional male soccer players aged between 18 and 37 years. Anthropometric measurements (height, body weight, skinfold thicknesses, and girths) and a DXA whole body scan were performed the same day for each participant, and SMM was estimated with nine anthropometric equations (Heymsfield, Martin, Doupe, Kerr, Drinkwater, Lee, De Rose, and two equations published by Kuriyan). To determine differences between SMM estimated with anthropometric equations and SMM evaluated with DXA, a Kruskal-Wallis test was performed using Dunn’s test as post hoc. The significance level was set at p < 0.05. We calculated the mean difference and 95% limits of agreement for the analyzed equations (Equation – DXA). Results. Only Heymsfield’s and Lee’s equations showed no significant differences with DXA. Heymsfield’s equation had the smallest mean difference (-0.17 kg), but wider limits of agreement with DXA (-6.61 to 6.94 kg). Lee’s equation had a small mean difference (1.10 kg) but narrower limits of agreement with DXA (-1.83 to 4.03 kg). Conclusions. In this study, the prediction equation published by Lee et al. showed the best agreement with DXA and is able to estimate SMM accurately in professional male soccer players.

Published
2019
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30. Accuracy of Anthropometric Equations for Estimating Body Fat in Professional Male Soccer Players Compared with DXA

Author

R. López-Taylor, Juan, G. González-Mendoza, Roberto, Gaytán-González, Alejandro, Antonio Jiménez-Alvarado, Juan, Villegas-Balcázar, Marisol, E. Jáuregui-Ulloa, Edtna, and Torres-Naranjo, Francisco

Abstract

Background. There are several published anthropometric equations to estimate body fat percentage (BF%), and this may prompt uncertainty about their application. Purpose. To analyze the accuracy of several anthropometric equations (developed in athletic [AT] and nonathletic [NAT] populations) that estimate BF% comparing them with DXA. Methods. We evaluated 131 professional male soccer players (body mass: 73.2±8.0 kg; height: 177.5±5.8 cm; DXA BF% [median, 25th–75th percentile]: 14.0, 11.9–16.4%) aged 18 to 37 years. All subjects were evaluated with anthropometric measurements and a whole body DXA scan. BF% was estimated through 14 AT and 17 NAT anthropometric equations and compared with the measured DXA BF%. Mean differences and 95% limits of agreement were calculated for those anthropometric equations without significant differences with DXA. Results. Five AT and seven NAT anthropometric equations did not differ significantly with DXA. From these, Oliver’s and Civar’s (AT) and Ball’s and Wilmore’s (NAT) equations showed the highest agreement with DXA. Their 95% limits of agreement ranged from −3.9 to 2.3%, −4.8 to 1.8%, −3.4 to 3.1%, and −3.9 to 3.0%, respectively. Conclusion. Oliver’s, Ball’s, Civar’s, and Wilmore’s equations were the best to estimate BF% accurately compared with DXA in professional male soccer players.

Published
2018
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